moneropro/app/charts/views.py

from ctypes import sizeof
from os import readlink
from django.shortcuts import render
from django.http import HttpResponseRedirect
from django.urls import reverse
import requests
import json
from .models import *
from .forms import *
import datetime
from datetime import date, timedelta
from dateutil.relativedelta import relativedelta
from requests.exceptions import ConnectionError, Timeout, TooManyRedirects
import math
import locale
import pandas as pd
from . import asynchronous
from . import synchronous
from operator import truediv
from datetime import timezone
import aiohttp
import asyncio
import pygsheets
from django.contrib.auth.decorators import login_required
from requests import Session
from django.contrib.staticfiles.storage import staticfiles_storage
from charts.synchronous import get_history_function

####################################################################################
#   Set some parameters 
####################################################################################
locale.setlocale(locale.LC_ALL, 'en_US.utf8')

####################################################################################
#   Useful functions for admins
####################################################################################

# Add manually a new entrance for coin
# To be used when there's a problem with the API
@login_required
def add_coin(request):
    if not request.user.is_superuser:
        return render(request, 'users/error.html')

    if request.method != 'POST':
        #create new page with blank form
        form = CoinForm()
    else:
        #process data and submit article
        form = CoinForm(data=request.POST)
        if form.is_valid():
            add_coin = form.save(commit=False)
            coin = Coin.objects.filter(name=add_coin.name).filter(date=add_coin.date)
            if coin:
                for item in coin:
                    item.delete()
                print('coin found and deleted')
            else:
                print('coin not found')

            add_coin.stocktoflow = (100/add_coin.inflation)**1.65 
            print(add_coin.name)
            print(add_coin.date)
            print(add_coin.priceusd)
            print(add_coin.pricebtc)
            print(add_coin.inflation)
            print(add_coin.transactions)
            print(add_coin.hashrate)
            print(add_coin.stocktoflow)
            print(add_coin.supply)
            print(add_coin.fee)
            print(add_coin.revenue)
            print(add_coin.blocksize)
            print(add_coin.difficulty)
            add_coin.save()
            print('coin saved')
            message = 'Coin added to the database!'
            coin = Coin.objects.filter(name=add_coin.name).get(date=add_coin.date)
            print('GET: ' + str(coin.name) + ' ' +str(coin.date) + ' ' +str(coin.priceusd) + ' ' +str(coin.pricebtc) + ' ' +str(coin.inflation) + ' ' +str(coin.transactions) + ' ' +str(coin.hashrate) + ' ' +str(coin.stocktoflow) + ' ' +str(coin.supply) + ' ' + ' ' +str(coin.fee) + ' ' + ' ' +str(coin.revenue))

            print('updating p2pool')
            synchronous.update_p2pool()

            context = {'form': form, 'message': message}
            return render(request, 'charts/add_coin.html', context)
        else:
            message = 'An error has happened. Try again.'
            context = {'form': form, 'message': message}
            return render(request, 'charts/add_coin.html', context)

    context = {'form': form}
    return render(request, 'charts/add_coin.html', context)

# Get all history for metrics of a certain coin named as 'symbol'
# Only authorized users can download all price data via URL request
@login_required 
def get_history(request, symbol, start_time=None, end_time=None):
    if not request.user.is_superuser:
        return render(request, 'users/error.html')

    count = get_history_function(symbol, start_time, end_time)

    if type(count) in [int, 'int']:
        message = 'Total of ' + str(count) + ' data imported'
        context = {'message': message}
    else:
        message = 'Failed to load the data'
        context = {'message': message}

    return render(request, 'charts/maintenance.html', context)

# Populate database with rank history
# Only authorized users can do this
@login_required 
def load_rank(request, symbol):
    if not request.user.is_superuser:
        return render(request, 'users/error.html')
    gc = pygsheets.authorize(service_file='service_account_credentials.json')
    sh = gc.open('zcash_bitcoin')
    wks = sh.worksheet_by_title('Sheet8')
    
    count = 0
    values_mat = wks.get_values(start=(3,1), end=(9999,2), returnas='matrix')
    print(len(values_mat))
    Rank.objects.all().delete()

    for k in range(0,len(values_mat)):
        if values_mat[k][0] and values_mat[k][1]:
            rank = Rank()
            rank.name = symbol
            rank.date = values_mat[k][0]
            rank.rank = int(values_mat[k][1].replace(',', '.'))
            if not(rank.rank) and not(rank.date):
                break
            else:
                rank.save()
                count += 1
        else:
            break

    message = 'Total of ' + str(count) + ' data imported'
    context = {'message': message}
    return render(request, 'charts/maintenance.html', context)

# Populate database with p2pool history
# Only authorized users can do this
@login_required 
def load_p2pool(request):
    if not request.user.is_superuser:
        return render(request, 'users/error.html')

    count = 0
    gc = pygsheets.authorize(service_file='service_account_credentials.json')
    sh = gc.open('zcash_bitcoin')
    wks = sh.worksheet_by_title('p2pool')
    values_mat = wks.get_values(start=(3,1), end=(9999,6), returnas='matrix')
    P2Pool.objects.all().delete()

    for k in range(0,len(values_mat)):
        if values_mat[k][0] and values_mat[k][1]:
            p2pool_stat = P2Pool()
            p2pool_stat.date = values_mat[k][0]
            p2pool_stat.miners = float(values_mat[k][1].replace(',', '.'))
            p2pool_stat.hashrate = float(values_mat[k][2].replace(',', '.'))
            p2pool_stat.percentage = float(values_mat[k][3].replace(',', '.'))
            p2pool_stat.totalhashes = float(values_mat[k][4].replace(',', '.'))
            p2pool_stat.totalblocksfound = float(values_mat[k][5].replace(',', '.'))
            p2pool_stat.mini = False
            p2pool_stat.save()
            count += 1
            #print('p2poolmini data saved - ' + str(p2pool_stat.date) + ' - ' + str(p2pool_stat.percentage) + ' - ' + str(p2pool_stat.miners))
        else:
            break

    wks = sh.worksheet_by_title('p2poolmini')
    values_mat = wks.get_values(start=(3,1), end=(9999,6), returnas='matrix')

    for k in range(0,len(values_mat)):
        if values_mat[k][0] and values_mat[k][1]:
            p2pool_stat = P2Pool()
            p2pool_stat.date = values_mat[k][0]
            p2pool_stat.miners = float(values_mat[k][1].replace(',', '.'))
            p2pool_stat.hashrate = float(values_mat[k][2].replace(',', '.'))
            p2pool_stat.percentage = float(values_mat[k][3].replace(',', '.'))
            p2pool_stat.totalhashes = float(values_mat[k][4].replace(',', '.'))
            p2pool_stat.totalblocksfound = float(values_mat[k][5].replace(',', '.'))
            p2pool_stat.mini = True
            p2pool_stat.save()
            count += 1
            #print('p2poolmini data saved - ' + str(p2pool_stat.date) + ' - ' + str(p2pool_stat.percentage) + ' - ' + str(p2pool_stat.miners))
        else:
            break
    
    message = 'Total of ' + str(count) + ' data imported'
    context = {'message': message}
    return render(request, 'charts/maintenance.html', context)

# Populate database with dominance history
# Only authorized users can do this
@login_required 
def load_dominance(request, symbol):
    if not request.user.is_superuser:
        return render(request, 'users/error.html')
    gc = pygsheets.authorize(service_file='service_account_credentials.json')
    sh = gc.open('zcash_bitcoin')
    wks = sh.worksheet_by_title('Sheet7')
    
    count = 0
    values_mat = wks.get_values(start=(3,1), end=(9999,2), returnas='matrix')
    Dominance.objects.all().delete()

    for k in range(0,len(values_mat)):
        if values_mat[k][0] and values_mat[k][1]:
            dominance = Dominance()
            dominance.name = symbol
            dominance.date = values_mat[k][0]
            dominance.dominance = float(values_mat[k][1].replace(',', '.'))
            if not(dominance.dominance) and not(dominance.date):
                break
            else:
                dominance.save()
                count += 1
        else:
            break

    message = 'Total of ' + str(count) + ' data imported'
    context = {'message': message}
    return render(request, 'charts/maintenance.html', context)

# Import Reddit history from file on static folder
# Only authorized users can do this
@login_required 
def importer(request):
    if not request.user.is_superuser:
        return render(request, 'users/error.html')
    count = 0
    Social.objects.all().delete()
    filename = staticfiles_storage.path('import.txt')
    with open(filename) as f:
        content = f.readlines()
        for line in content:
            data = json.loads(line)
            symbol = data['name']
            item = data['subscriberCountTimeSeries']
            dates = []
            subscriberCount = []
            commentsPerHour = []
            postsPerHour = []
            for unit in item:
                date_now = datetime.datetime.strptime('1970-01-01', '%Y-%m-%d')
                date_now += timedelta(int(unit['utcDay']))
                dates.append(datetime.datetime.strftime(date_now, '%Y-%m-%d'))
                value = float(unit['count'])
                subscriberCount.append(value)
            item = data['commentsPerHourTimeSeries']
            for unit in item:
                value = float(unit['commentsPerHour'])
                commentsPerHour.append(value)
            item = data['postsPerHourTimeSeries']
            for unit in item:
                value = float(unit['postsPerHour'])
                postsPerHour.append(value)
                
            for i in range(len(dates)-1):
                social = Social()
                social.name = symbol
                social.date = dates[i]
                if i >= len(dates) - len(subscriberCount):
                    social.subscriberCount = subscriberCount[i-len(subscriberCount)]
                else: 
                    social.subscriberCount = 0
                if i >= len(dates) - len(commentsPerHour):
                    social.commentsPerHour = commentsPerHour[i-(len(dates) - len(commentsPerHour))]
                else: 
                    social.commentsPerHour = 0
                if i >= len(dates) - len(postsPerHour):
                    social.postsPerHour = postsPerHour[i-(len(dates) - len(postsPerHour))]
                else: 
                    social.postsPerHour = 0 
                social.save()
                count += 1

    message = 'Total of ' + str(count) + ' data imported'
    context = {'message': message}
    return render(request, 'charts/maintenance.html', context)

# Erase all data for a certain coin
# Only authorized users can do this
@login_required 
def reset(request, symbol):
    if not request.user.is_superuser:
        return render(request, 'users/error.html')
    Coin.objects.filter(name=symbol).all().delete()
    
    message = 'All data for ' + str(symbol) + ' erased'
    context = {'message': message}
    return render(request, 'charts/maintenance.html', context)

# Populate database with especific chart variables
# Only authorized users can do this
@login_required 
def populate_database(request):
    if not request.user.is_superuser:
        return render(request, 'users/error.html')
    count = 0

    ###################################################################
    # SF model charts
    ###################################################################
    print('Populating database for sfmodel.html, sfmodelin.html and pricesats.html, wait a moment...')
    Sfmodel.objects.all().delete()
    timevar = 1283
    v0 = 0.002
    delta = (0.015 - 0.002)/(6*365)
    previous_supply = 0
    supply = 0
    sf_aux = 0
    count_aux = 0

    coins = Coin.objects.order_by('date').filter(name='xmr')
    for coin in coins:
        if coin.priceusd < 0.1:
            coin.priceusd = 0.1
            coin.pricebtc = 0.000001
        if coin.stocktoflow > sf_aux*1.3+100:
            coin.stocktoflow = sf_aux
        
        sf_aux = coin.stocktoflow
        if coin.supply > 0:
            supply = int(coin.supply)*10**12
        else:
            supply = previous_supply
        count += 1
        count_aux += 1

        data = Sfmodel()
        data.date = coin.date
        data.priceusd = coin.priceusd
        data.pricebtc = coin.pricebtc
        data.stocktoflow = coin.stocktoflow
        data.color = 30*coin.pricebtc/(count*delta + v0)
        date_aux1 = datetime.datetime.strptime('2017-12-29', '%Y-%m-%d')
        date_aux2 = datetime.datetime.strftime(coin.date, '%Y-%m-%d')
        date_aux2 = datetime.datetime.strptime(date_aux2, '%Y-%m-%d')
        if date_aux2 < date_aux1:
            lastprice = coin.priceusd
            current_inflation = coin.inflation
            data.greyline = 0
            count_aux = 0
        else:
            day = date_aux2 - timedelta(timevar)
            coin_aux1 = Coin.objects.filter(name='xmr').get(date=day)
            day = date_aux2 - timedelta(timevar+1)
            coin_aux2 = Coin.objects.filter(name='xmr').get(date=day)
            date_aux3 = datetime.datetime.strptime('2017-12-29', '%Y-%m-%d')
            
            if date_aux3 + timedelta(int(count_aux*2)) < datetime.datetime.strptime('2021-07-03', '%Y-%m-%d'):
                day = date_aux3 + timedelta(int(count_aux*2))
                coin_aux3 = Coin.objects.filter(name='xmr').get(date=day)
                if coin_aux3:
                    if (coin_aux3.inflation/current_inflation) > 1.2 or (coin_aux3.inflation/current_inflation) < 0.8:
                        coin_aux3.inflation = current_inflation
                    else:
                        current_inflation = coin_aux3.inflation
                supply2 = supply
            else:
                reward2 = (2**64 -1 - supply2) >> 19
                if reward2 < 0.6*(10**12):
                    reward2 = 0.6*(10**12)
                supply2 += int(720*reward2)
                current_inflation = 100*reward2*720*365/supply2
                
            if coin_aux1 and coin_aux2:
                lastprice += (coin_aux1.priceusd/coin_aux2.priceusd-1)*lastprice
                actualprice = lastprice*(math.sqrt(coin.inflation/current_inflation))
                data.greyline = actualprice
            else:
                data.greyline = 0
            previous_supply = supply
        data.save()

    count_aux = 0
    for count_aux in range(700):
        date_now = date.today() + timedelta(count_aux)
        reward = (2**64 -1 - supply) >> 19
        if reward < 0.6*(10**12):
            reward = 0.6*(10**12)
        supply += int(720*reward)

        data = Sfmodel()
        data.date = datetime.datetime.strftime(date_now, '%Y-%m-%d')
        data.stocktoflow = (100/(100*reward*720*365/supply))**1.65   
        data.priceusd = 0
        data.pricebtc = 0
        data.greyline = 0    
        data.color = 0
        data.priceusd = 0
        data.greyline = 0
        data.save()
        count += 1

    ###################################################################
    # Daily Emissions, inflation charts and coins against bitcoin
    ###################################################################
    print('Populating database for dailyemission.html and dailyemissionntv.html, wait a moment...')
    DailyData.objects.all().delete()
    supply_btc = 0
    supply_xmr = 0
    count_aux = 0
    coins_btc = Coin.objects.order_by('date').filter(name='btc')

    for coin_btc in coins_btc:
        count_aux += 1
        data = DailyData()
        data.date = datetime.datetime.strftime(coin_btc.date, '%Y-%m-%d')
        
        if coin_btc.blocksize > 0:
            data.btc_blocksize = coin_btc.blocksize
            data.btc_transactions = coin_btc.transactions
        else:
            data.btc_blocksize = 0
            data.btc_transactions = 0
        
        if coin_btc.difficulty > 0:
            data.btc_difficulty = coin_btc.difficulty
        else:
            data.btc_difficulty = 0
        
        if coin_btc.transactions == 0:
            data.btc_transcostusd = 0
            data.btc_transcostntv = 0
        else:
            if coin_btc.fee*coin_btc.priceusd/coin_btc.transactions < 0.0001:
                data.btc_transcostusd = 0
                data.btc_transcostntv = 0
            else:
                data.btc_transcostusd = coin_btc.fee*coin_btc.priceusd/coin_btc.transactions
                data.btc_transcostntv = coin_btc.fee/coin_btc.transactions

        if coin_btc.revenue < 0.000001 or coin_btc.priceusd < 0.001:
            data.btc_minerrevntv = 0
            data.btc_minerrevusd = 0
            data.btc_commitntv = 0
            data.btc_commitusd = 0
            data.btc_priceusd = 0
            data.btc_marketcap = 0
        else:
            data.btc_minerrevntv = coin_btc.revenue
            data.btc_minerrevusd = coin_btc.revenue*coin_btc.priceusd
            data.btc_commitntv = coin_btc.hashrate/(coin_btc.revenue)
            data.btc_commitusd = coin_btc.hashrate/(coin_btc.revenue*coin_btc.priceusd)
            data.btc_priceusd = coin_btc.priceusd
            data.btc_marketcap = coin_btc.priceusd*coin_btc.supply

        if coin_btc.supply == 0:
            data.btc_minerrevcap = 0
        else:
            data.btc_minerrevcap = 365*100*coin_btc.revenue/coin_btc.supply

        if coin_btc.priceusd:
            if coin_btc.priceusd/30 > 0.02:
                data.btc_return = coin_btc.priceusd/30
            else:
                data.btc_return = 0
        else:
            data.btc_return = 0

        if coin_btc.inflation > 0:
            data.btc_inflation = coin_btc.inflation
        else:
            data.btc_inflation = 0
        if coin_btc.supply > 0:
            data.btc_supply = coin_btc.supply
        else:
            data.btc_supply = 0

        if coin_btc.supply - supply_btc < 0.000001:
            data.btc_minerfeesntv = 0
            data.btc_minerfeesusd = 0
            data.btc_emissionntv = 0
        else:
            data.btc_minerfeesntv = coin_btc.revenue - coin_btc.supply + supply_btc
            data.btc_minerfeesusd = (coin_btc.revenue - coin_btc.supply + supply_btc)*coin_btc.priceusd
            data.btc_emissionntv = coin_btc.supply -  supply_btc
        
        if (coin_btc.supply - supply_btc)*coin_btc.priceusd < 1000:
            data.btc_emissionusd = 0
        else:
            data.btc_emissionusd = (coin_btc.supply - supply_btc)*coin_btc.priceusd
        supply_btc = coin_btc.supply

        if count_aux > 1750:
            coins_xmr = Coin.objects.filter(name='xmr').filter(date=coin_btc.date)
            if coins_xmr:
                for coin_xmr in coins_xmr:
                    if coin_xmr.blocksize > 0:
                        data.xmr_blocksize = coin_xmr.blocksize
                    else:
                        data.xmr_blocksize = 0

                    if coin_xmr.difficulty > 0:
                        data.xmr_difficulty = coin_xmr.difficulty
                    else:
                        data.xmr_difficulty = 0

                    if coin_xmr.priceusd < 0.001:
                        data.xmr_pricebtc = 0
                        data.xmr_priceusd = 0
                        data.xmr_marketcap = 0
                    else:
                        data.xmr_pricebtc = coin_xmr.pricebtc
                        data.xmr_priceusd = coin_xmr.priceusd
                        data.xmr_marketcap = coin_xmr.priceusd*coin_xmr.supply

                    if coin_btc.supply > 0 and coin_btc.transactions > 0:
                        data.xmr_transactions = coin_xmr.transactions
                        data.xmr_metcalfeusd = coin_btc.priceusd*coin_xmr.transactions*coin_xmr.supply/(coin_btc.supply*coin_btc.transactions)
                        data.xmr_metcalfebtc = coin_xmr.transactions*coin_xmr.supply/(coin_btc.supply*coin_btc.transactions)
                    else:
                        data.xmr_metcalfeusd = 0
                        data.xmr_metcalfebtc = 0
                        data.xmr_transactions = 0
                    if data.xmr_metcalfeusd < 0.23:
                        data.xmr_metcalfeusd = 0
                        data.xmr_metcalfebtc = 0

                    if coin_xmr.transactions == 0:
                        data.xmr_transacpercentage = 0
                        data.xmr_transcostusd = 0
                        data.xmr_transcostntv = 0
                    else:
                        if coin_xmr.fee*coin_xmr.priceusd/coin_xmr.transactions < 0.0001:
                            data.xmr_transcostusd = 0
                            data.xmr_transcostntv = 0
                        else:
                            data.xmr_transcostusd = coin_xmr.fee*coin_xmr.priceusd/coin_xmr.transactions
                            data.xmr_transcostntv = coin_xmr.fee/coin_xmr.transactions
                        if coin_btc.transactions == 0:
                            data.xmr_transacpercentage = 0
                        else:
                            data.xmr_transacpercentage = coin_xmr.transactions/coin_btc.transactions

                    if coin_xmr.revenue < 0.000001 or coin_xmr.priceusd < 0.001:
                        data.xmr_minerrevntv = 0
                        data.xmr_minerrevusd = 0
                        data.xmr_commitntv = 0
                        data.xmr_commitusd = 0
                    else:
                        data.xmr_minerrevntv = coin_xmr.revenue
                        data.xmr_minerrevusd = coin_xmr.revenue*coin_xmr.priceusd
                        data.xmr_commitntv = coin_xmr.hashrate/(coin_xmr.revenue)
                        data.xmr_commitusd = coin_xmr.hashrate/(coin_xmr.revenue*coin_xmr.priceusd)

                    if coin_xmr.supply == 0:
                        data.xmr_minerrevcap = 0
                    else:
                        data.xmr_minerrevcap = 365*100*coin_xmr.revenue/coin_xmr.supply

                    if coin_xmr.priceusd/5.01 > 0.02:
                        data.xmr_return = coin_xmr.priceusd/5.01
                    else:
                        data.xmr_return = 0

                    if coin_xmr.inflation > 0:
                        data.xmr_inflation = coin_xmr.inflation
                    else:
                        data.xmr_inflation = 0

                    if coin_xmr.supply > 0:
                        data.xmr_supply = coin_xmr.supply
                    else:
                        data.xmr_supply = 0

                    if coin_xmr.supply - supply_xmr < 0.000001:
                        data.xmr_minerfeesntv = 0
                        data.xmr_minerfeesusd = 0
                        data.xmr_emissionntv = 0
                    else:
                        data.xmr_minerfeesntv = coin_xmr.revenue - coin_xmr.supply + supply_xmr
                        data.xmr_minerfeesusd = (coin_xmr.revenue - coin_xmr.supply + supply_xmr)*coin_xmr.priceusd
                        data.xmr_emissionntv = coin_xmr.supply - supply_xmr

                    if (coin_xmr.supply - supply_xmr)*coin_xmr.priceusd < 1000:
                        data.xmr_emissionusd = 0
                    else:
                        data.xmr_emissionusd = (coin_xmr.supply - supply_xmr)*coin_xmr.priceusd
                    supply_xmr = coin_xmr.supply
            else:
                data.xmr_emissionntv = 0
                data.xmr_emissionusd = 0
                data.xmr_inflation = 0
                data.xmr_supply = 0
                data.xmr_return = 0
                data.xmr_minerrevntv = 0
                data.xmr_minerrevusd = 0
                data.xmr_minerfeesntv = 0
                data.xmr_minerfeesusd = 0
                data.xmr_transcostntv = 0
                data.xmr_transcostusd = 0
                data.xmr_commitntv = 0
                data.xmr_commitusd = 0
                data.xmr_metcalfeusd = 0
                data.xmr_metcalfebtc = 0
                data.xmr_pricebtc = 0
                data.xmr_priceusd = 0
                data.xmr_transacpercentage = 0
                data.xmr_marketcap = 0
                data.xmr_minerrevcap = 0
                data.xmr_transactions = 0
                data.xmr_blocksize = 0
                data.xmr_difficulty = 0

            coins_dash = Coin.objects.filter(name='dash').filter(date=coin_btc.date)
            if coins_dash:
                for coin_dash in coins_dash:
                    if coin_dash.transactions > 0:
                        data.dash_transactions = coin_dash.transactions
                    else:
                        data.dash_transactions = 0
                    if coin_dash.inflation > 0:
                        data.dash_inflation = coin_dash.inflation
                    else:
                        data.dash_inflation = 0

                    if coin_dash.priceusd > 0:
                        data.dash_marketcap = coin_dash.priceusd*coin_dash.supply
                    else:
                        data.dash_marketcap = 0
            else:
                data.dash_inflation = 0
                data.dash_marketcap = 0
                data.dash_transactions = 0
        else:
            data.xmr_emissionntv = 0
            data.xmr_emissionusd = 0
            data.xmr_inflation = 0
            data.xmr_supply = 0
            data.xmr_return = 0
            data.dash_inflation = 0
            data.dash_marketcap = 0
            data.dash_transactions = 0
            data.xmr_marketcap = 0
            data.xmr_minerrevntv = 0
            data.xmr_minerrevusd = 0
            data.xmr_minerfeesntv = 0
            data.xmr_minerfeesusd = 0
            data.xmr_transcostntv = 0
            data.xmr_transcostusd = 0
            data.xmr_commitntv = 0
            data.xmr_commitusd = 0
            data.xmr_metcalfeusd = 0
            data.xmr_metcalfebtc = 0
            data.xmr_pricebtc = 0
            data.xmr_priceusd = 0
            data.xmr_transacpercentage = 0
            data.xmr_minerrevcap = 0
            data.xmr_transactions = 0
            data.xmr_blocksize = 0
            data.xmr_difficulty = 0

        if count_aux > 2800:
            coins_zcash = Coin.objects.filter(name='zec').filter(date=coin_btc.date)
            if coins_zcash:
                for coin_zcash in coins_zcash:
                    if coin_zcash.transactions > 0:
                        data.zcash_transactions = coin_zcash.transactions
                    else:
                        data.zcash_transactions = 0
                    if coin_zcash.inflation > 0:
                        data.zcash_inflation = coin_zcash.inflation
                    else:
                        data.zcash_inflation = 0
                
                    if coin_zcash.priceusd > 0:
                        data.zcash_marketcap = coin_zcash.priceusd*coin_zcash.supply
                    else:
                        data.zcash_marketcap = 0
            else:
                data.zcash_inflation = 0
                data.zcash_marketcap = 0
                data.zcash_transactions = 0
        else:
            data.zcash_inflation = 0
            data.zcash_marketcap = 0
            data.zcash_transactions = 0

        if count_aux > 3600:
            coins_grin = Coin.objects.filter(name='grin').filter(date=coin_btc.date)
            if coins_grin:
                for coin_grin in coins_grin:
                    if coin_grin.transactions > 0:
                        data.grin_transactions = coin_grin.transactions
                    else:
                        data.grin_transactions = 0
                    if coin_grin.inflation > 0:
                        data.grin_inflation = coin_grin.inflation
                    else:
                        data.grin_inflation = 0

                    if coin_grin.priceusd > 0:
                        data.grin_marketcap = coin_grin.priceusd*coin_grin.supply
                    else:
                        data.grin_marketcap = 0
            else:
                data.grin_inflation = 0
                data.grin_marketcap = 0
                data.grin_transactions = 0
        else:
            data.grin_inflation = 0
            data.grin_marketcap = 0
            data.grin_transactions = 0
    
        socials = Social.objects.filter(name='Bitcoin').filter(date=coin_btc.date)
        if socials:
            for social in socials:
                data.btc_subscriberCount = social.subscriberCount
                data.btc_commentsPerHour = social.commentsPerHour
                data.btc_postsPerHour = social.postsPerHour
        else:
            data.btc_subscriberCount = 0
            data.btc_commentsPerHour = 0
            data.btc_postsPerHour = 0
        
        socials = Social.objects.filter(name='Monero').filter(date=coin_btc.date)
        if socials:
            for social in socials:
                data.xmr_subscriberCount = social.subscriberCount
                data.xmr_commentsPerHour = social.commentsPerHour
                data.xmr_postsPerHour = social.postsPerHour
        else:
            data.xmr_subscriberCount = 0
            data.xmr_commentsPerHour = 0
            data.xmr_postsPerHour = 0

        socials = Social.objects.filter(name='CryptoCurrency').filter(date=coin_btc.date)
        if socials:
            for social in socials:
                data.crypto_subscriberCount = social.subscriberCount
                data.crypto_commentsPerHour = social.commentsPerHour
                data.crypto_postsPerHour = social.postsPerHour
        else:
            data.crypto_subscriberCount = 0
            data.crypto_commentsPerHour = 0
            data.crypto_postsPerHour = 0

        data.save()
        count += 1

    message = 'Total of ' + str(count) + ' data generated'
    context = {'message': message}
    return render(request, 'charts/maintenance.html', context)

# Update database with between certain dates
# Only authorized users can do this
@login_required 
def update_database_admin(request, date_from, date_to):
    if not request.user.is_superuser:
        return render(request, 'users/error.html')

    synchronous.update_database(date_from, date_to)

    message = 'Database updated from ' + str(date_from) + ' to ' + str(date_to)
    context = {'message': message}
    return render(request, 'charts/maintenance.html', context)
    if not request.user.is_superuser:
        return render(request, 'users/error.html')
    count = 0

    ###################################################################
    # SF model charts
    ###################################################################
    print('Populating database for sfmodel.html, sfmodelin.html and pricesats.html, wait a moment...')
    Sfmodel.objects.all().delete()
    timevar = 1283
    v0 = 0.002
    delta = (0.015 - 0.002)/(6*365)
    previous_supply = 0
    supply = 0
    sf_aux = 0
    count_aux = 0

    coins = Coin.objects.order_by('date').filter(name='xmr')
    for coin in coins:
        if coin.priceusd < 0.1:
            coin.priceusd = 0.1
            coin.pricebtc = 0.000001
        if coin.stocktoflow > sf_aux*1.3+100:
            coin.stocktoflow = sf_aux
        
        sf_aux = coin.stocktoflow
        if coin.supply > 0:
            supply = int(coin.supply)*10**12
        else:
            supply = previous_supply
        count += 1
        count_aux += 1

        data = Sfmodel()
        data.date = coin.date
        data.priceusd = coin.priceusd
        data.pricebtc = coin.pricebtc
        data.stocktoflow = coin.stocktoflow
        data.color = 30*coin.pricebtc/(count*delta + v0)
        date_aux1 = datetime.datetime.strptime('2017-12-29', '%Y-%m-%d')
        date_aux2 = datetime.datetime.strftime(coin.date, '%Y-%m-%d')
        date_aux2 = datetime.datetime.strptime(date_aux2, '%Y-%m-%d')
        if date_aux2 < date_aux1:
            lastprice = coin.priceusd
            current_inflation = coin.inflation
            data.greyline = 0
            count_aux = 0
        else:
            day = date_aux2 - timedelta(timevar)
            coin_aux1 = Coin.objects.filter(name='xmr').get(date=day)
            day = date_aux2 - timedelta(timevar+1)
            coin_aux2 = Coin.objects.filter(name='xmr').get(date=day)
            date_aux3 = datetime.datetime.strptime('2017-12-29', '%Y-%m-%d')
            
            if date_aux3 + timedelta(int(count_aux*2)) < datetime.datetime.strptime('2021-07-03', '%Y-%m-%d'):
                day = date_aux3 + timedelta(int(count_aux*2))
                coin_aux3 = Coin.objects.filter(name='xmr').get(date=day)
                if coin_aux3:
                    if (coin_aux3.inflation/current_inflation) > 1.2 or (coin_aux3.inflation/current_inflation) < 0.8:
                        coin_aux3.inflation = current_inflation
                    else:
                        current_inflation = coin_aux3.inflation
                supply2 = supply
            else:
                reward2 = (2**64 -1 - supply2) >> 19
                if reward2 < 0.6*(10**12):
                    reward2 = 0.6*(10**12)
                supply2 += int(720*reward2)
                current_inflation = 100*reward2*720*365/supply2
                
            if coin_aux1 and coin_aux2:
                lastprice += (coin_aux1.priceusd/coin_aux2.priceusd-1)*lastprice
                actualprice = lastprice*(math.sqrt(coin.inflation/current_inflation))
                data.greyline = actualprice
            else:
                data.greyline = 0
            previous_supply = supply
        data.save()

    count_aux = 0
    for count_aux in range(700):
        date_now = date.today() + timedelta(count_aux)
        reward = (2**64 -1 - supply) >> 19
        if reward < 0.6*(10**12):
            reward = 0.6*(10**12)
        supply += int(720*reward)

        data = Sfmodel()
        data.date = datetime.datetime.strftime(date_now, '%Y-%m-%d')
        data.stocktoflow = (100/(100*reward*720*365/supply))**1.65   
        data.priceusd = 0
        data.pricebtc = 0
        data.greyline = 0    
        data.color = 0
        data.priceusd = 0
        data.greyline = 0
        data.save()
        count += 1

    ###################################################################
    # Daily Emissions, inflation charts and coins against bitcoin
    ###################################################################
    print('Populating database for dailyemission.html and dailyemissionntv.html, wait a moment...')
    DailyData.objects.all().delete()
    supply_btc = 0
    supply_xmr = 0
    count_aux = 0
    coins_btc = Coin.objects.order_by('date').filter(name='btc')

    for coin_btc in coins_btc:
        count_aux += 1
        data = DailyData()
        data.date = datetime.datetime.strftime(coin_btc.date, '%Y-%m-%d')
        
        if coin_btc.blocksize > 0:
            data.btc_blocksize = coin_btc.blocksize
            data.btc_transactions = coin_btc.transactions
        else:
            data.btc_blocksize = 0
            data.btc_transactions = 0
        
        if coin_btc.difficulty > 0:
            data.btc_difficulty = coin_btc.difficulty
        else:
            data.btc_difficulty = 0
        
        if coin_btc.transactions == 0:
            data.btc_transcostusd = 0
            data.btc_transcostntv = 0
        else:
            if coin_btc.fee*coin_btc.priceusd/coin_btc.transactions < 0.0001:
                data.btc_transcostusd = 0
                data.btc_transcostntv = 0
            else:
                data.btc_transcostusd = coin_btc.fee*coin_btc.priceusd/coin_btc.transactions
                data.btc_transcostntv = coin_btc.fee/coin_btc.transactions

        if coin_btc.revenue < 0.000001 or coin_btc.priceusd < 0.001:
            data.btc_minerrevntv = 0
            data.btc_minerrevusd = 0
            data.btc_commitntv = 0
            data.btc_commitusd = 0
            data.btc_priceusd = 0
            data.btc_marketcap = 0
        else:
            data.btc_minerrevntv = coin_btc.revenue
            data.btc_minerrevusd = coin_btc.revenue*coin_btc.priceusd
            data.btc_commitntv = coin_btc.hashrate/(coin_btc.revenue)
            data.btc_commitusd = coin_btc.hashrate/(coin_btc.revenue*coin_btc.priceusd)
            data.btc_priceusd = coin_btc.priceusd
            data.btc_marketcap = coin_btc.priceusd*coin_btc.supply

        if coin_btc.supply == 0:
            data.btc_minerrevcap = 0
        else:
            data.btc_minerrevcap = 365*100*coin_btc.revenue/coin_btc.supply

        if coin_btc.priceusd:
            if coin_btc.priceusd/30 > 0.02:
                data.btc_return = coin_btc.priceusd/30
            else:
                data.btc_return = 0
        else:
            data.btc_return = 0

        if coin_btc.inflation > 0:
            data.btc_inflation = coin_btc.inflation
        else:
            data.btc_inflation = 0
        if coin_btc.supply > 0:
            data.btc_supply = coin_btc.supply
        else:
            data.btc_supply = 0

        if coin_btc.supply - supply_btc < 0.000001:
            data.btc_minerfeesntv = 0
            data.btc_minerfeesusd = 0
            data.btc_emissionntv = 0
        else:
            data.btc_minerfeesntv = coin_btc.revenue - coin_btc.supply + supply_btc
            data.btc_minerfeesusd = (coin_btc.revenue - coin_btc.supply + supply_btc)*coin_btc.priceusd
            data.btc_emissionntv = coin_btc.supply -  supply_btc
        
        if (coin_btc.supply - supply_btc)*coin_btc.priceusd < 1000:
            data.btc_emissionusd = 0
        else:
            data.btc_emissionusd = (coin_btc.supply - supply_btc)*coin_btc.priceusd
        supply_btc = coin_btc.supply

        if count_aux > 1750:
            coins_xmr = Coin.objects.filter(name='xmr').filter(date=coin_btc.date)
            if coins_xmr:
                for coin_xmr in coins_xmr:
                    if coin_xmr.blocksize > 0:
                        data.xmr_blocksize = coin_xmr.blocksize
                    else:
                        data.xmr_blocksize = 0

                    if coin_xmr.difficulty > 0:
                        data.xmr_difficulty = coin_xmr.difficulty
                    else:
                        data.xmr_difficulty = 0

                    if coin_xmr.priceusd < 0.001:
                        data.xmr_pricebtc = 0
                        data.xmr_priceusd = 0
                        data.xmr_marketcap = 0
                    else:
                        data.xmr_pricebtc = coin_xmr.pricebtc
                        data.xmr_priceusd = coin_xmr.priceusd
                        data.xmr_marketcap = coin_xmr.priceusd*coin_xmr.supply

                    if coin_btc.supply > 0 and coin_btc.transactions > 0:
                        data.xmr_transactions = coin_xmr.transactions
                        data.xmr_metcalfeusd = coin_btc.priceusd*coin_xmr.transactions*coin_xmr.supply/(coin_btc.supply*coin_btc.transactions)
                        data.xmr_metcalfebtc = coin_xmr.transactions*coin_xmr.supply/(coin_btc.supply*coin_btc.transactions)
                    else:
                        data.xmr_metcalfeusd = 0
                        data.xmr_metcalfebtc = 0
                        data.xmr_transactions = 0
                    if data.xmr_metcalfeusd < 0.23:
                        data.xmr_metcalfeusd = 0
                        data.xmr_metcalfebtc = 0

                    if coin_xmr.transactions == 0:
                        data.xmr_transacpercentage = 0
                        data.xmr_transcostusd = 0
                        data.xmr_transcostntv = 0
                    else:
                        if coin_xmr.fee*coin_xmr.priceusd/coin_xmr.transactions < 0.0001:
                            data.xmr_transcostusd = 0
                            data.xmr_transcostntv = 0
                        else:
                            data.xmr_transcostusd = coin_xmr.fee*coin_xmr.priceusd/coin_xmr.transactions
                            data.xmr_transcostntv = coin_xmr.fee/coin_xmr.transactions
                        if coin_btc.transactions == 0:
                            data.xmr_transacpercentage = 0
                        else:
                            data.xmr_transacpercentage = coin_xmr.transactions/coin_btc.transactions

                    if coin_xmr.revenue < 0.000001 or coin_xmr.priceusd < 0.001:
                        data.xmr_minerrevntv = 0
                        data.xmr_minerrevusd = 0
                        data.xmr_commitntv = 0
                        data.xmr_commitusd = 0
                    else:
                        data.xmr_minerrevntv = coin_xmr.revenue
                        data.xmr_minerrevusd = coin_xmr.revenue*coin_xmr.priceusd
                        data.xmr_commitntv = coin_xmr.hashrate/(coin_xmr.revenue)
                        data.xmr_commitusd = coin_xmr.hashrate/(coin_xmr.revenue*coin_xmr.priceusd)

                    if coin_xmr.supply == 0:
                        data.xmr_minerrevcap = 0
                    else:
                        data.xmr_minerrevcap = 365*100*coin_xmr.revenue/coin_xmr.supply

                    if coin_xmr.priceusd/5.01 > 0.02:
                        data.xmr_return = coin_xmr.priceusd/5.01
                    else:
                        data.xmr_return = 0

                    if coin_xmr.inflation > 0:
                        data.xmr_inflation = coin_xmr.inflation
                    else:
                        data.xmr_inflation = 0

                    if coin_xmr.supply > 0:
                        data.xmr_supply = coin_xmr.supply
                    else:
                        data.xmr_supply = 0

                    if coin_xmr.supply - supply_xmr < 0.000001:
                        data.xmr_minerfeesntv = 0
                        data.xmr_minerfeesusd = 0
                        data.xmr_emissionntv = 0
                    else:
                        data.xmr_minerfeesntv = coin_xmr.revenue - coin_xmr.supply + supply_xmr
                        data.xmr_minerfeesusd = (coin_xmr.revenue - coin_xmr.supply + supply_xmr)*coin_xmr.priceusd
                        data.xmr_emissionntv = coin_xmr.supply - supply_xmr

                    if (coin_xmr.supply - supply_xmr)*coin_xmr.priceusd < 1000:
                        data.xmr_emissionusd = 0
                    else:
                        data.xmr_emissionusd = (coin_xmr.supply - supply_xmr)*coin_xmr.priceusd
                    supply_xmr = coin_xmr.supply
            else:
                data.xmr_emissionntv = 0
                data.xmr_emissionusd = 0
                data.xmr_inflation = 0
                data.xmr_supply = 0
                data.xmr_return = 0
                data.xmr_minerrevntv = 0
                data.xmr_minerrevusd = 0
                data.xmr_minerfeesntv = 0
                data.xmr_minerfeesusd = 0
                data.xmr_transcostntv = 0
                data.xmr_transcostusd = 0
                data.xmr_commitntv = 0
                data.xmr_commitusd = 0
                data.xmr_metcalfeusd = 0
                data.xmr_metcalfebtc = 0
                data.xmr_pricebtc = 0
                data.xmr_priceusd = 0
                data.xmr_transacpercentage = 0
                data.xmr_marketcap = 0
                data.xmr_minerrevcap = 0
                data.xmr_transactions = 0
                data.xmr_blocksize = 0
                data.xmr_difficulty = 0

            coins_dash = Coin.objects.filter(name='dash').filter(date=coin_btc.date)
            if coins_dash:
                for coin_dash in coins_dash:
                    if coin_dash.transactions > 0:
                        data.dash_transactions = coin_dash.transactions
                    else:
                        data.dash_transactions = 0
                    if coin_dash.inflation > 0:
                        data.dash_inflation = coin_dash.inflation
                    else:
                        data.dash_inflation = 0

                    if coin_dash.priceusd > 0:
                        data.dash_marketcap = coin_dash.priceusd*coin_dash.supply
                    else:
                        data.dash_marketcap = 0
            else:
                data.dash_inflation = 0
                data.dash_marketcap = 0
                data.dash_transactions = 0
        else:
            data.xmr_emissionntv = 0
            data.xmr_emissionusd = 0
            data.xmr_inflation = 0
            data.xmr_supply = 0
            data.xmr_return = 0
            data.dash_inflation = 0
            data.dash_marketcap = 0
            data.dash_transactions = 0
            data.xmr_marketcap = 0
            data.xmr_minerrevntv = 0
            data.xmr_minerrevusd = 0
            data.xmr_minerfeesntv = 0
            data.xmr_minerfeesusd = 0
            data.xmr_transcostntv = 0
            data.xmr_transcostusd = 0
            data.xmr_commitntv = 0
            data.xmr_commitusd = 0
            data.xmr_metcalfeusd = 0
            data.xmr_metcalfebtc = 0
            data.xmr_pricebtc = 0
            data.xmr_priceusd = 0
            data.xmr_transacpercentage = 0
            data.xmr_minerrevcap = 0
            data.xmr_transactions = 0
            data.xmr_blocksize = 0
            data.xmr_difficulty = 0

        if count_aux > 2800:
            coins_zcash = Coin.objects.filter(name='zec').filter(date=coin_btc.date)
            if coins_zcash:
                for coin_zcash in coins_zcash:
                    if coin_zcash.transactions > 0:
                        data.zcash_transactions = coin_zcash.transactions
                    else:
                        data.zcash_transactions = 0
                    if coin_zcash.inflation > 0:
                        data.zcash_inflation = coin_zcash.inflation
                    else:
                        data.zcash_inflation = 0
                
                    if coin_zcash.priceusd > 0:
                        data.zcash_marketcap = coin_zcash.priceusd*coin_zcash.supply
                    else:
                        data.zcash_marketcap = 0
            else:
                data.zcash_inflation = 0
                data.zcash_marketcap = 0
                data.zcash_transactions = 0
        else:
            data.zcash_inflation = 0
            data.zcash_marketcap = 0
            data.zcash_transactions = 0

        if count_aux > 3600:
            coins_grin = Coin.objects.filter(name='grin').filter(date=coin_btc.date)
            if coins_grin:
                for coin_grin in coins_grin:
                    if coin_grin.transactions > 0:
                        data.grin_transactions = coin_grin.transactions
                    else:
                        data.grin_transactions = 0
                    if coin_grin.inflation > 0:
                        data.grin_inflation = coin_grin.inflation
                    else:
                        data.grin_inflation = 0

                    if coin_grin.priceusd > 0:
                        data.grin_marketcap = coin_grin.priceusd*coin_grin.supply
                    else:
                        data.grin_marketcap = 0
            else:
                data.grin_inflation = 0
                data.grin_marketcap = 0
                data.grin_transactions = 0
        else:
            data.grin_inflation = 0
            data.grin_marketcap = 0
            data.grin_transactions = 0
    
        socials = Social.objects.filter(name='Bitcoin').filter(date=coin_btc.date)
        if socials:
            for social in socials:
                data.btc_subscriberCount = social.subscriberCount
                data.btc_commentsPerHour = social.commentsPerHour
                data.btc_postsPerHour = social.postsPerHour
        else:
            data.btc_subscriberCount = 0
            data.btc_commentsPerHour = 0
            data.btc_postsPerHour = 0
        
        socials = Social.objects.filter(name='Monero').filter(date=coin_btc.date)
        if socials:
            for social in socials:
                data.xmr_subscriberCount = social.subscriberCount
                data.xmr_commentsPerHour = social.commentsPerHour
                data.xmr_postsPerHour = social.postsPerHour
        else:
            data.xmr_subscriberCount = 0
            data.xmr_commentsPerHour = 0
            data.xmr_postsPerHour = 0

        socials = Social.objects.filter(name='CryptoCurrency').filter(date=coin_btc.date)
        if socials:
            for social in socials:
                data.crypto_subscriberCount = social.subscriberCount
                data.crypto_commentsPerHour = social.commentsPerHour
                data.crypto_postsPerHour = social.postsPerHour
        else:
            data.crypto_subscriberCount = 0
            data.crypto_commentsPerHour = 0
            data.crypto_postsPerHour = 0

        data.save()
        count += 1

    message = 'Total of ' + str(count) + ' data generated'
    context = {'message': message}
    return render(request, 'charts/maintenance.html', context)

####################################################################################
#   Views
####################################################################################
async def index(request):
    coins = Coin.objects.filter(name='xmr').order_by('-date')
    count = 0
    for coin in coins:
        count += 1
        if count< 200:
            if coin.supply < 18000000:
                coin.supply += 499736
                print(coin.date)
                coin.save()

    coin = list(Coin.objects.order_by('-date'))[0]
    if not(coin):
        message = 'Website under maintenance. Check back in a few minutes'
        context = {'message': message}
        return render(request, 'charts/maintenance.html', context)

    now = int(datetime.datetime.now().strftime("%H"))
    yesterday = datetime.datetime.strftime(date.today() - timedelta(1), '%Y-%m-%d')
    date_aux = datetime.datetime.strftime(date.today() - timedelta(2), '%Y-%m-%d')
    update_xmr = False
    update_btc = False
    update_socials = False
    update_data = False

    if now > 2 and now < 12:
        try:
            coin_xmr = Coin.objects.filter(name='xmr').get(date=yesterday)
            if coin_xmr:
                print('xmr found yesterday')
                if coin_xmr.priceusd > 1 and coin_xmr.transactions > 0 and coin_xmr.inflation > 0:
                    print('no need to update xmr')
                    update_xmr = False
                else:
                    print('will update xmr')
                    coin_xmr.delete()
                    update_xmr = True
            else:
                print('no xmr found yesterday - 1')
                update_xmr = True
        except:
            print('no xmr found yesterday - 2')
            update_xmr = True
    if now > 6 and now < 12:
        try:
            coin_btc = list(Coin.objects.filter(name='btc').filter(date=yesterday))[0]
            coin_zec = list(Coin.objects.filter(name='zec').filter(date=yesterday))[0]
            coin_dash = list(Coin.objects.filter(name='dash').filter(date=yesterday))[0]
            coin_grin = list(Coin.objects.filter(name='grin').filter(date=yesterday))[0]
            if coin_btc and coin_zec and coin_dash and coin_grin:
                print('coins found yesterday')
                if coin_btc.transactions > 0 and coin_btc.inflation > 0 and coin_zec.supply > 0 and coin_dash.supply > 0 and coin_grin.supply > 0:
                    print('no need to update coins')
                    update_btc = False
                else:
                    print('will update coins')
                    coin_btc.delete()
                    coin_zec.delete()
                    coin_dash.delete()
                    coin_grin.delete()
                    update_btc = True
            else:
                print('no coins found yesterday - 1')
                update_btc = True
        except:
            print('no coins found yesterday - 2')
            update_btc = True  
        try:
            data = list(DailyData.objects.filter(date=yesterday))[0]
            if data:
                print('data found yesterday')
                update_data = False
            else:
                print('no data found yesterday - 1')
                update_data = True
        except:
            print('no data found yesterday - 2')
            update_data = True  

    try:
        coin_xmr = Coin.objects.filter(name='xmr').get(date=date_aux)
    except:
        coin_xmr = list(Coin.objects.filter(name='xmr').order_by('-date'))[0]

    if update_xmr:
        count = get_history_function('xmr', yesterday, yesterday)
        await asynchronous.update_xmr_data(yesterday, coin_xmr)

    if update_btc:
        await asynchronous.update_others_data(yesterday)

    if update_data:
        synchronous.update_database(yesterday, yesterday)

    if True:
        enabled = synchronous.get_binance_withdrawal('Monero')

    return HttpResponseRedirect(reverse('charts:sfmodel'))

def social(request):
    data = DailyData.objects.order_by('date')
    dates = []
    dates2 = []
    social_xmr = []
    social_crypto = []
    social_btc = []
    last_xmr = 0
    last_btc = 0
    last_crypto = 0

    for item in data:
        dates.append(datetime.datetime.strftime(item.date, '%Y-%m-%d'))
        dates2.append(datetime.datetime.strftime(item.date, '%Y-%m-%d'))

        if item.btc_subscriberCount > last_btc:
            social_btc.append(item.btc_subscriberCount)
            last_btc = item.btc_subscriberCount
        else:
            social_btc.append(last_btc)

        if item.xmr_subscriberCount > last_xmr:
            social_xmr.append(item.xmr_subscriberCount)
            last_xmr = item.xmr_subscriberCount
        else:
            social_xmr.append(last_xmr)

        if item.crypto_subscriberCount > last_crypto:
            social_crypto.append(item.crypto_subscriberCount)
            last_crypto = item.crypto_subscriberCount
        else:
            social_crypto.append(last_crypto)

    last_xmr = locale.format('%.0f', last_xmr, grouping=True)
    last_btc = locale.format('%.0f', last_btc, grouping=True)
    last_crypto = locale.format('%.0f', last_crypto, grouping=True)

    context = {'dates': dates, 'dates2': dates2, 'social_xmr': social_xmr, 'social_crypto': social_crypto, 'social_btc': social_btc, 'last_xmr': last_xmr, 'last_btc': last_btc, 'last_crypto': last_crypto}
    return render(request, 'charts/social.html', context)

def social2(request): 
    data = DailyData.objects.order_by('date')
    dates = []
    social_btc = []
    last_btc = 0
    dates2 = []
    social_xmr = []
    last_xmr = 0
    N = 1

    for item in data:
        dates.append(datetime.datetime.strftime(item.date, '%Y-%m-%d'))
        dates2.append(datetime.datetime.strftime(item.date, '%Y-%m-%d'))

        if item.btc_subscriberCount > 0:
            if item.btc_marketcap > 10000:
                last_btc = ((item.btc_marketcap)**N)/item.btc_subscriberCount
                social_btc.append(last_btc)
            else:
                social_btc.append('')
        else:
            social_btc.append(last_btc)

        if item.xmr_subscriberCount > 0:
            if item.xmr_marketcap > 10000:
                last_xmr = ((item.xmr_marketcap)**N)/item.xmr_subscriberCount
                social_xmr.append(last_xmr)
            else:
                social_xmr.append('')

        else:
            social_xmr.append(last_xmr)

    last_xmr = '$' + locale.format('%.0f', last_xmr, grouping=True)
    last_btc = '$' + locale.format('%.0f', last_btc, grouping=True)

    context = {'dates': dates, 'dates2': dates2, 'social_btc': social_btc, 'social_xmr': social_xmr, 'last_xmr': last_xmr, 'last_btc': last_btc}
    return render(request, 'charts/social2.html', context)

def social3(request):
    data = DailyData.objects.order_by('date')

    dates = []
    social_xmr = []
    social_crypto = []
    last_xmr = 0
    last_crypto = 0

    for item in data:
        dates.append(datetime.datetime.strftime(item.date, '%Y-%m-%d'))

        if item.btc_subscriberCount > 0 and item.xmr_subscriberCount > 0:
            last_xmr = 100*(item.xmr_subscriberCount/item.btc_subscriberCount)
            social_xmr.append(last_xmr)
        else:
            social_xmr.append(last_xmr)

        if item.btc_subscriberCount > 0 and item.crypto_subscriberCount > 0:
            last_crypto = 100*(item.crypto_subscriberCount/item.btc_subscriberCount)
            social_crypto.append(last_crypto)
        else:
            social_crypto.append(last_crypto)

    last_xmr = locale.format('%.1f', last_xmr, grouping=True)+ '%'
    last_crypto = locale.format('%.1f', last_crypto, grouping=True)+ '%'

    context = {'dates': dates, 'social_xmr': social_xmr, 'social_crypto': social_crypto, 'last_xmr': last_xmr, 'last_crypto': last_crypto}
    return render(request, 'charts/social3.html', context)

def social4(request):
    data = DailyData.objects.order_by('date')
    dates = []
    dates2 = []
    social_xmr = []
    social_crypto = []
    social_btc = []
    last_xmr = 0
    last_btc = 0
    last_crypto = 0

    for item in data:
        dates.append(datetime.datetime.strftime(item.date, '%Y-%m-%d'))
        dates2.append(datetime.datetime.strftime(item.date, '%Y-%m-%d'))

        if item.btc_subscriberCount > last_btc:
            social_btc.append(item.btc_subscriberCount)
            last_btc = item.btc_subscriberCount
        else:
            social_btc.append(last_btc)

        if item.xmr_subscriberCount > last_xmr:
            social_xmr.append(item.xmr_subscriberCount)
            last_xmr = item.xmr_subscriberCount
        else:
            social_xmr.append(last_xmr)

        if item.crypto_subscriberCount > last_crypto:
            social_crypto.append(item.crypto_subscriberCount)
            last_crypto = item.crypto_subscriberCount
        else:
            social_crypto.append(last_crypto)

    N = 30
    last_btc = ''
    speed_btc = []
    for i in range(len(social_btc)):
        if i < N:
            speed_btc.append(last_btc)
        else:
            if social_btc[i-N] != 0 and social_btc[i] - social_btc[i-N] != 0:
                last_btc = 100*(social_btc[i] - social_btc[i-N])/social_btc[i-N]
                if last_btc < 0.2:
                    last_btc = 0.2
                if last_btc > 1000:
                    last_btc = ''
            else:
                last_btc = ''
            speed_btc.append(last_btc)

    last_btc = ''
    newcomers_btc = []
    for i in range(len(social_btc)):
        if i < N:
            newcomers_btc.append(last_btc)
        else:
            last_btc = (social_btc[i] - social_btc[i-N])
            if last_btc < 10:
                last_btc = ''
            newcomers_btc.append(last_btc)

    last_crypto = ''
    speed_crypto = []
    for i in range(len(social_crypto)):
        if i < N:
            speed_crypto.append(last_crypto)
        else:
            if social_crypto[i-N] != 0 and social_crypto[i] - social_crypto[i-N] != 0:
                last_crypto = 100*(social_crypto[i] - social_crypto[i-N])/social_crypto[i-N]
                if last_crypto < 0.2:
                    last_crypto = 0.2
                if last_crypto > 1000:
                    last_crypto = ''
            else:
                last_crypto = ''
            speed_crypto.append(last_crypto)

    last_crypto = ''
    newcomers_crypto = []
    for i in range(len(social_crypto)):
        if i < N:
            newcomers_crypto.append(last_crypto)
        else:
            last_crypto = (social_crypto[i] - social_crypto[i-N])
            if last_crypto < 2:
                last_crypto = ''
            newcomers_crypto.append(last_crypto)


    last_xmr = ''
    speed_xmr = []
    for i in range(len(social_xmr)):
        if i < N:
            speed_xmr.append(last_xmr)
        else:
            if social_xmr[i-N] != 0 and social_xmr[i] - social_xmr[i-N] != 0:
                last_xmr = 100*(social_xmr[i] - social_xmr[i-N])/social_xmr[i-N]
                if last_xmr < 0.2:
                    last_xmr = 0.2
                if last_xmr > 1000:
                    last_xmr = ''
            else:
                last_xmr = ''
            speed_xmr.append(last_xmr)

    last_xmr = ''
    newcomers_xmr = []
    for i in range(len(social_xmr)):
        if i < N:
            newcomers_xmr.append(last_xmr)
        else:
            last_xmr = (social_xmr[i] - social_xmr[i-N])
            if last_xmr < 0:
                last_xmr = ''
            newcomers_xmr.append(last_xmr)

    try:
        last_xmr = locale.format('%.0f', last_xmr, grouping=True)
        last_btc = locale.format('%.0f', last_btc, grouping=True)
        last_crypto = locale.format('%.0f', last_crypto, grouping=True)
    except:
        last_xmr = 0
        last_btc = 0
        last_crypto = 0

    context = {'dates': dates, 'speed_xmr': speed_xmr, 'speed_crypto': speed_crypto, 'speed_btc': speed_btc, 'newcomers_xmr': newcomers_xmr, 'newcomers_btc': newcomers_btc, 'newcomers_crypto': newcomers_crypto, 'last_xmr': last_xmr, 'last_btc': last_btc, 'last_crypto': last_crypto}
    return render(request, 'charts/social4.html', context)

def social5(request):
    data = DailyData.objects.order_by('date')
    transactions = []
    dates = []
    social_xmr = []
    now_transactions = 0
    last_xmr = 0

    for item in data:
        dates.append(datetime.datetime.strftime(item.date, '%Y-%m-%d'))

        if item.xmr_subscriberCount > last_xmr:
            social_xmr.append(item.xmr_subscriberCount)
            last_xmr = item.xmr_subscriberCount
        else:
            social_xmr.append(last_xmr)

        if item.xmr_transactions > 300:
            now_transactions = item.xmr_transactions
            transactions.append(now_transactions)
        else:
            transactions.append('')

    last_xmr = locale.format('%.0f', last_xmr, grouping=True)
    now_transactions = locale.format('%.0f', now_transactions, grouping=True)

    context = {'dates': dates, 'social_xmr': social_xmr, 'last_xmr': last_xmr, 'now_transactions': now_transactions, 'transactions': transactions}
    return render(request, 'charts/social5.html', context)

def social6(request):
    data = DailyData.objects.order_by('date')
    dates = []
    social_xmr = []
    social_crypto = []
    social_btc = []
    last_xmr = 0
    last_btc = 0
    last_crypto = 0

    for item in data:
        dates.append(datetime.datetime.strftime(item.date, '%Y-%m-%d'))

        if item.btc_commentsPerHour*24 < last_btc/4:
            social_btc.append(last_btc)
        else:
            last_btc = item.btc_commentsPerHour*24
            social_btc.append(last_btc)

        if item.xmr_commentsPerHour*24 < last_xmr/4:
            social_xmr.append(last_xmr)
        else:
            last_xmr = item.xmr_commentsPerHour*24
            social_xmr.append(last_xmr)

        if item.crypto_commentsPerHour*24 < last_crypto/4:
            social_crypto.append(last_crypto)
        else:
            last_crypto = item.crypto_commentsPerHour*24
            social_crypto.append(last_crypto)

    last_xmr = locale.format('%.0f', last_xmr, grouping=True)
    last_btc = locale.format('%.0f', last_btc, grouping=True)
    last_crypto = locale.format('%.0f', last_crypto, grouping=True)

    context = {'dates': dates, 'social_xmr': social_xmr, 'social_crypto': social_crypto, 'social_btc': social_btc, 'last_xmr': last_xmr, 'last_btc': last_btc, 'last_crypto': last_crypto}
    return render(request, 'charts/social6.html', context)

def social7(request):
    data = DailyData.objects.order_by('date')
    dates = []
    social_xmr = []
    social_crypto = []
    social_btc = []
    last_xmr = 0
    last_btc = 0
    last_crypto = 0

    for item in data:
        dates.append(datetime.datetime.strftime(item.date, '%Y-%m-%d'))
        if item.btc_postsPerHour > 0:
            last_btc = item.btc_postsPerHour*24
            social_btc.append(last_btc)
        else:
            social_btc.append(last_btc)

        if item.xmr_postsPerHour > 0:
            last_xmr = item.xmr_postsPerHour*24
            social_xmr.append(last_xmr)
        else:
            social_xmr.append(last_xmr)

        if item.crypto_postsPerHour > 0:
            last_crypto = item.crypto_postsPerHour*24
            social_crypto.append(last_crypto)
        else:
            social_crypto.append(last_crypto)

    last_xmr = locale.format('%.0f', last_xmr, grouping=True)
    last_btc = locale.format('%.0f', last_btc, grouping=True)
    last_crypto = locale.format('%.0f', last_crypto, grouping=True)
    
    context = {'dates': dates, 'social_xmr': social_xmr, 'social_crypto': social_crypto, 'social_btc': social_btc, 'last_xmr': last_xmr, 'last_btc': last_btc, 'last_crypto': last_crypto}
    return render(request, 'charts/social7.html', context)

def pricelog(request):
    symbol = 'xmr'
    now_price = 0
    now_sf = 0
    now_inflation = 0
    v0 = 0.002
    delta = (0.015 - 0.002)/(6*365)
    count = 0
    maximum = 0
    supply = 0
    dates = []
    color = []
    values = []

    coins = Coin.objects.order_by('date').filter(name=symbol)
    for coin in coins:
        dates.append(datetime.datetime.strftime(coin.date, '%Y-%m-%d'))
        values.append(coin.priceusd)
        if coin.priceusd < 0.01:
            coin.priceusd = 0.01
        if coin.stocktoflow < 0.1:
            coin.stocktoflow = 0.1
        now_inflation = coin.inflation
        now_price = coin.priceusd
        now_sf = coin.stocktoflow
        if now_price > maximum:
            maximum = now_price
        new_color = 30*coin.pricebtc/(count*delta + v0)
        color.append(new_color)
        supply = int(coin.supply)*10**12
        count += 1

    count = 0
    for count in range(650):
        date_now = date.today() + timedelta(count)
        dates.append(datetime.datetime.strftime(date_now, '%Y-%m-%d'))
        reward = (2**64 -1 - supply) >> 19
        if reward < 0.6*(10**12):
            reward = 0.6*(  10**12)
        supply += int(720*reward)

    now_price = "$"+ locale.format('%.2f', now_price, grouping=True)
    now_sf = "$"+ locale.format('%.2f', now_sf, grouping=True)
    maximum = "$"+ locale.format('%.2f', maximum, grouping=True)
    now_inflation = locale.format('%.2f', now_inflation, grouping=True)+'%'

    context = {'values': values, 'dates': dates, 'maximum': maximum, 'now_price': now_price, 'now_inflation': now_inflation, 'now_sf': now_sf, 'color': color}
    return render(request, 'charts/pricelog.html', context)

def movingaverage(request):
    symbol = 'xmr'
    v0 = 0.002
    delta = (0.015 - 0.002)/(6*365)
    count = 0
    dates = []
    color = []
    values = []
    average1 = []
    average2 = []
    total = 0

    coins = Coin.objects.order_by('date').filter(name=symbol)
    for coin in coins:
        dates.append(datetime.datetime.strftime(coin.date, '%Y-%m-%d'))
        if coin.priceusd < 0.2:
            coin.priceusd = 0.2
        total += coin.priceusd
        values.append(coin.priceusd)
        if count < 1460:
            aux = total/(730 + count/2)
            if aux < 0.2:
                aux = 0.2
            average1.append(aux)
            average2.append(aux*5)
            if coin.priceusd > 5*aux:
                new_color = 1
            if coin.priceusd < aux:
                new_color = 0
            else:
                new_color = coin.priceusd/(5*aux)
            color.append(new_color)
        else:
            color.append(new_color)
        
        count += 1
    
    n = 1460
    median = pd.Series(values).rolling(window=n).mean().iloc[n-1:].values

    #for count in range(1460):
    #    average1.append('')
    #    average2.append('')
    for item in median:
        average1.append(item)
        average2.append(item*5)

    context = {'values': values, 'dates': dates, 'color': color, 'average1': average1, 'average2': average2}
    return render(request, 'charts/movingaverage.html', context)

def powerlaw(request):
    symbol = 'xmr'
    now_price = 0
    now_sf = 0
    now_inflation = 0
    v0 = 0.002
    delta = (0.015 - 0.002)/(6*365)
    count = 0
    maximum = 0
    dates = []
    counter = []
    years = []
    line3 = []
    line2 = []
    line1 = []
    a3 = 0.00000000000000000009
    a2 = 0.0000000000000000000000008
    a1 = 0.00000000000000000000000002
    b3 = ((math.log(477,10)-math.log(5.01,10))/(math.log(2511,10)-math.log(1231,10)))
    b2 = ((math.log(92,10)-math.log(0.23,10))/(math.log(3297,10)-math.log(1468,10)))
    b1 = ((math.log(93,10)-math.log(0.39,10))/(math.log(3570,10)-math.log(1755,10)))
    color = []
    values = []

    yearnumber = 2014
    days = 1200
    coins = Coin.objects.order_by('date').filter(name=symbol)
    for coin in coins:
        if coin.priceusd < 0.01:
            continue
        days += 1
        price3 = a3*(days**b3)
        price2 = a2*(days**b2)
        price1 = a1*(days**b1)
        line3.append(price3)
        line2.append(price2)
        line1.append(price1)
        counter.append(days)
        if coin.date.year > yearnumber:
            yearnumber += 1
            years.append(yearnumber)
            dates.append(days)
        values.append(coin.priceusd)
        if coin.priceusd < 0.01:
            coin.priceusd = 0.01
        if coin.stocktoflow < 0.1:
            coin.stocktoflow = 0.1
        now_inflation = coin.inflation
        now_price = coin.priceusd
        now_sf = coin.stocktoflow
        if now_price > maximum:
            maximum = now_price
        new_color = 30*coin.pricebtc/(count*delta + v0)
        color.append(new_color)
        count += 1

    for count in range(1, 3650):
        date_now = date.today() + timedelta(count)   
        values.append('')     
        days += 1
        price3 = a3*(days**b3)
        price2 = a2*(days**b2)
        price1 = a1*(days**b1)
        line3.append(price3)
        line2.append(price2)
        line1.append(price1)
        counter.append(days)
        if date_now.year > yearnumber:
            yearnumber += 1
            years.append(yearnumber)
            dates.append(days)   

    now_price = "$"+ locale.format('%.2f', now_price, grouping=True)
    now_sf = "$"+ locale.format('%.2f', now_sf, grouping=True)
    maximum = "$"+ locale.format('%.2f', maximum, grouping=True)
    now_inflation = locale.format('%.2f', now_inflation, grouping=True)+'%'

    context = {'values': values, 'dates': dates, 'maximum': maximum, 'now_price': now_price, 'now_inflation': now_inflation, 
    'now_sf': now_sf, 'color': color, 'years': years, 'counter': counter, 'line1': line1, 'line2': line2, 'line3': line3}
    return render(request, 'charts/powerlaw.html', context)

def pricelin(request):
    symbol = 'xmr'
    now_price = 0
    now_sf = 0
    now_inflation = 0
    v0 = 0.002
    delta = (0.015 - 0.002)/(6*365)
    count = 0
    maximum = 0
    supply = 0
    dates = []
    color = []
    values = []

    coins = Coin.objects.order_by('date').filter(name=symbol)
    for coin in coins:
        dates.append(datetime.datetime.strftime(coin.date, '%Y-%m-%d'))
        values.append(coin.priceusd)
        if coin.priceusd < 0.01:
            coin.priceusd = 0.01
        if coin.stocktoflow < 0.1:
            coin.stocktoflow = 0.1
        now_inflation = coin.inflation
        now_price = coin.priceusd
        now_sf = coin.stocktoflow
        if now_price > maximum:
            maximum = now_price
        new_color = 30*coin.pricebtc/(count*delta + v0)
        color.append(new_color)
        supply = int(coin.supply)*10**12
        count += 1

    count = 0
    for count in range(650):
        date_now = date.today() + timedelta(count)
        dates.append(datetime.datetime.strftime(date_now, '%Y-%m-%d'))
        reward = (2**64 -1 - supply) >> 19
        if reward < 0.6*(10**12):
            reward = 0.6*(  10**12)
        supply += int(720*reward)
        stock = (100/(100*reward*720*365/supply))**1.65         

    now_price = "$"+ locale.format('%.2f', now_price, grouping=True)
    now_sf = "$"+ locale.format('%.2f', now_sf, grouping=True)
    maximum = "$"+ locale.format('%.2f', maximum, grouping=True)
    now_inflation = locale.format('%.2f', now_inflation, grouping=True)+'%'

    context = {'values': values, 'dates': dates, 'maximum': maximum, 'now_price': now_price, 'now_inflation': now_inflation, 'now_sf': now_sf, 'color': color}
    return render(request, 'charts/pricelin.html', context)

def pricesats(request):
    dates = []
    color = []
    values = []
    now_price = 0
    maximum = 0
    bottom = 1

    data = Sfmodel.objects.order_by('date')
    for item in data:
        dates.append(datetime.datetime.strftime(item.date, '%Y-%m-%d'))
        if item.color != 0:
            color.append(item.color)
        else:
            color.append('')

        if item.pricebtc > 0.0001:
            values.append(item.pricebtc)
            now_price = item.pricebtc
            if bottom > item.pricebtc:
                bottom = item.pricebtc
            if maximum < item.pricebtc:
                maximum = item.pricebtc
        else:
            values.append('')

    now_price = locale.format('%.4f', now_price, grouping=True) + ' BTC'
    maximum = locale.format('%.4f', maximum, grouping=True) + ' BTC'
    bottom = locale.format('%.4f', bottom, grouping=True) + ' BTC'

    context = {'values': values, 'dates': dates, 'maximum': maximum, 'now_price': now_price, 'color': color, 'bottom': bottom}
    return render(request, 'charts/pricesats.html', context)

def pricesatslog(request):
    dates = []
    color = []
    values = []
    now_price = 0
    maximum = 0
    bottom = 1

    data = Sfmodel.objects.order_by('date')
    for item in data:
        dates.append(datetime.datetime.strftime(item.date, '%Y-%m-%d'))
        if item.color != 0:
            color.append(item.color)
        else:
            color.append('')

        if item.pricebtc > 0.0001:
            values.append(item.pricebtc)
            now_price = item.pricebtc
            if bottom > item.pricebtc:
                bottom = item.pricebtc
            if maximum < item.pricebtc:
                maximum = item.pricebtc
        else:
            values.append('')

    now_price = locale.format('%.4f', now_price, grouping=True) + ' BTC'
    maximum = locale.format('%.4f', maximum, grouping=True) + ' BTC'
    bottom = locale.format('%.4f', bottom, grouping=True) + ' BTC'

    context = {'values': values, 'dates': dates, 'maximum': maximum, 'now_price': now_price, 'color': color, 'bottom': bottom}
    return render(request, 'charts/pricesatslog.html', context)

def fractal(request):
    symbol = 'xmr'
    dates1 = []
    dates2 = []
    cycle1 = []
    cycle2 = []
    now_multiple = 0
    maximum = 0

    count1 = 1
    count2 = 1
    date1_aux = datetime.datetime(2017, 12, 29) 
    date2_aux = datetime.datetime(2014, 6, 21)
    coins = Coin.objects.order_by('date').filter(name=symbol)
    for coin in coins:
        date3_aux = datetime.datetime.combine(coin.date, datetime.time(0, 0))
        if date3_aux < date1_aux and date3_aux > date2_aux:
            cycle1.append(coin.priceusd/5)
            dates1.append(count1/12.7)
            if (coin.priceusd/5) > maximum:
                maximum = coin.priceusd/5
            count1 += 1
        elif date3_aux > date1_aux:
            cycle2.append(coin.priceusd/477.12)
            dates2.append(count2/20.7) #24
            now_multiple = coin.priceusd/477.12
            count2 += 0.86

    now_multiple = locale.format('%.2f', now_multiple, grouping=True) + 'x'
    maximum = locale.format('%.2f', maximum, grouping=True) + 'x'

    context = {'cycle1': cycle1, 'cycle2': cycle2, 'dates1': dates1, 'dates2': dates2, 'now_multiple': now_multiple, 'maximum': maximum}
    return render(request, 'charts/fractal.html', context)

def inflationfractal(request):
    symbol = 'xmr'
    dates1 = []
    dates2 = []
    cycle1 = []
    cycle2 = []
    now_multiple = 0
    maximum = 0

    current_inflation = 0
    start_inflation = 0
    count1 = 1
    count2 = 1
    date1_aux = datetime.datetime(2017, 12, 29) 
    date2_aux = datetime.datetime(2014, 6, 21)
    coins = Coin.objects.order_by('date').filter(name=symbol)
    for coin in coins:
        date3_aux = datetime.datetime.combine(coin.date, datetime.time(0, 0))
        if date3_aux < date1_aux and date3_aux > date2_aux:
            start_inflation = coin.inflation
            current_inflation = start_inflation
            cycle1.append(coin.priceusd/5)
            dates1.append(count1/12.7)
            if (coin.priceusd/5) > maximum:
                maximum = coin.priceusd/5
            count1 += 1
        elif date3_aux > date1_aux:
            if (coin.inflation/current_inflation) > 1.15 or (coin.inflation/current_inflation) < 0.85:
                coin.inflation = current_inflation
            else:
                current_inflation = coin.inflation
            delta = math.sqrt(coin.inflation/start_inflation)
            cycle2.append(delta*coin.priceusd/477.12)
            dates2.append(count2/20.55) #24
            now_multiple = delta*coin.priceusd/477.12
            count2 += 0.86

    now_multiple = locale.format('%.2f', now_multiple, grouping=True) + 'x'
    maximum = locale.format('%.2f', maximum, grouping=True) + 'x'

    context = {'cycle1': cycle1, 'cycle2': cycle2, 'dates1': dates1, 'dates2': dates2, 'now_multiple': now_multiple, 'maximum': maximum}
    return render(request, 'charts/inflationfractal.html', context)

def golden(request):
    symbol = 'xmr'
    dates = []
    prices = []

    coins = Coin.objects.order_by('date').filter(name=symbol)
    for coin in coins:
        firstdate = coin.date
        break     

    day = firstdate - timedelta(350)
    for i in range(350):
        dates.append(datetime.datetime.strftime(day, '%Y-%m-%d'))
        prices.append(0.2)

    for coin in coins:
        dates.append(datetime.datetime.strftime(coin.date, '%Y-%m-%d'))
        if coin.priceusd > 0.2:
            prices.append(coin.priceusd)
        else:
            prices.append(0.2)
    
    n = 350
    median = pd.Series(prices).rolling(window=n).mean().iloc[n-1:].values
    m_350 = []
    m_350_0042 = []
    m_350_0060 = []
    m_350_0200 = []
    m_350_0300 = []
    m_350_0500 = []
    m_350_0800 = []
    m_350_1300 = []
    for i in range(350):
        m_350.append('')
        m_350_0042.append('')
        m_350_0060.append('')
        m_350_0200.append('')
        m_350_0300.append('')
        m_350_0500.append('')
        m_350_0800.append('')
        m_350_1300.append('')
    for item in median:
        m_350.append(float(item))
        m_350_0042.append(float(item)*0.42)
        m_350_0060.append(float(item)*0.60)
        m_350_0200.append(float(item)*2.00)
        m_350_0300.append(float(item)*3.00)
        m_350_0500.append(float(item)*5.00)
        m_350_0800.append(float(item)*8.00)
        m_350_1300.append(float(item)*13.00)

    n = 120
    median = pd.Series(prices).rolling(window=n).mean().iloc[n-1:].values
    m_111 = []
    for i in range(120):
        m_111.append('')
    for item in median:
        m_111.append(float(item))

    i = 0
    down = True
    price_cross = []
    for price in prices:
        if m_111[i] != '' and m_350_0200[i] != '':
            if down == True and m_111[i] > m_350_0200[i]:
                down = False
                price_cross.append(price)
            elif price > m_350_0500[i]:
                price_cross.append(price)
            elif down == False and m_111[i] < m_350_0200[i]:
                down = True
            else:
                price_cross.append('')
        else:
            price_cross.append('')
        i += 1

    context = {'dates': dates, 'prices': prices, 'm_350': m_350, 'm_350_0042': m_350_0042, 'm_350_0060': m_350_0060, 'm_350_0200': m_350_0200, 'm_350_0300': m_350_0300, 
    'm_350_0500': m_350_0500, 'm_350_0800': m_350_0800, 'm_350_1300': m_350_1300, 'median': median, 'm_111': m_111, 'price_cross': price_cross}
    return render(request, 'charts/golden.html', context)

def competitors(request):
    dates = []
    xmr = []
    dash = []
    grin = []
    zcash = []
    count = 0
    now_xmr = 0
    now_dash = 0
    now_grin = 0
    now_zcash = 0

    count = 0
    coins_xmr = Coin.objects.order_by('date').filter(name='xmr')
    for coin_xmr in coins_xmr:
        if coin_xmr.priceusd:
            if count > 30:
                xmr.append(coin_xmr.priceusd/5.01)
                now_xmr = coin_xmr.priceusd/5.01
            dates.append(count)
            count += 1
        elif count <= 63:
            continue
        else:
            xmr.append('')

    count = 0
    coins_dash = Coin.objects.order_by('date').filter(name='dash')
    for coin_dash in coins_dash:
        count += 1
        if coin_dash.priceusd and count > 130:
            dash.append(coin_dash.priceusd/14.7)
            now_dash = coin_dash.priceusd/14.7
        elif count <= 130:
            continue
        else:
            dash.append('')
        dates.append(count)

    count = 0
    coins_grin = Coin.objects.order_by('date').filter(name='grin')
    for coin_grin in coins_grin:
        count += 1
        if coin_grin.priceusd and count > 155:
            grin.append(coin_grin.priceusd/6.37)
            now_grin = coin_grin.priceusd/6.37
        elif count <= 155:
            continue
        else:
            grin.append('')
        dates.append(count)

    count = 0
    coins_zcash = Coin.objects.order_by('date').filter(name='zec')
    for coin_zcash in coins_zcash:
        count += 1
        if coin_zcash.priceusd and count > 434:
            zcash.append(coin_zcash.priceusd/750)
            now_zcash = coin_zcash.priceusd/750
        elif count <= 434:
            continue
        else:
            zcash.append('')
        dates.append(count)

    now_dash = locale.format('%.2f', now_dash, grouping=True) 
    now_grin = locale.format('%.2f', now_grin, grouping=True)
    now_zcash = locale.format('%.2f', now_zcash, grouping=True)
    now_xmr = locale.format('%.2f', now_xmr, grouping=True)

    context = {'xmr': xmr, 'dash': dash, 'grin': grin, 'zcash': zcash, 'now_xmr': now_xmr, 
    'now_dash': now_dash, 'now_grin': now_grin, 'now_zcash': now_zcash, 'dates': dates}
    return render(request, 'charts/competitors.html', context)

def competitorslin(request):
    dates = []
    xmr = []
    dash = []
    grin = []
    zcash = []
    count = 0
    now_xmr = 0
    now_dash = 0
    now_grin = 0
    now_zcash = 0

    count = 0
    coins_xmr = Coin.objects.order_by('date').filter(name='xmr')
    for coin_xmr in coins_xmr:
        if coin_xmr.priceusd:
            if count > 30:
                xmr.append(coin_xmr.priceusd/5.01)
                now_xmr = coin_xmr.priceusd/5.01
            dates.append(count)
            count += 1
        elif count <= 63:
            continue
        else:
            xmr.append('')

    count = 0
    coins_dash = Coin.objects.order_by('date').filter(name='dash')
    for coin_dash in coins_dash:
        count += 1
        if coin_dash.priceusd and count > 130:
            dash.append(coin_dash.priceusd/14.7)
            now_dash = coin_dash.priceusd/14.7
        elif count <= 130:
            continue
        else:
            dash.append('')
        dates.append(count)

    count = 0
    coins_grin = Coin.objects.order_by('date').filter(name='grin')
    for coin_grin in coins_grin:
        count += 1
        if coin_grin.priceusd and count > 155:
            grin.append(coin_grin.priceusd/6.37)
            now_grin = coin_grin.priceusd/6.37
        elif count <= 155:
            continue
        else:
            grin.append('')
        dates.append(count)

    count = 0
    coins_zcash = Coin.objects.order_by('date').filter(name='zec')
    for coin_zcash in coins_zcash:
        count += 1
        if coin_zcash.priceusd and count > 434:
            zcash.append(coin_zcash.priceusd/750)
            now_zcash = coin_zcash.priceusd/750
        elif count <= 434:
            continue
        else:
            zcash.append('')
        dates.append(count)

    now_dash = locale.format('%.2f', now_dash, grouping=True) 
    now_grin = locale.format('%.2f', now_grin, grouping=True)
    now_zcash = locale.format('%.2f', now_zcash, grouping=True)
    now_xmr = locale.format('%.2f', now_xmr, grouping=True)

    context = {'xmr': xmr, 'dash': dash, 'grin': grin, 'zcash': zcash, 'now_xmr': now_xmr, 
    'now_dash': now_dash, 'now_grin': now_grin, 'now_zcash': now_zcash, 'dates': dates}
    return render(request, 'charts/competitorslin.html', context)

def marketcap(request):
    data = DailyData.objects.order_by('date')

    dates = []
    xmr = []
    dash = []
    grin = []
    zcash = []
    now_xmr = 0
    now_dash = 0
    now_grin = 0
    now_zcash = 0
    
    for item in data:
        dates.append(datetime.datetime.strftime(item.date, '%Y-%m-%d'))

        if item.zcash_marketcap > 1000000:
            zcash.append(item.zcash_marketcap)
            now_zcash = item.zcash_marketcap
        else:
            zcash.append('')

        if item.dash_marketcap > 1000000:
            dash.append(item.dash_marketcap)
            now_dash = item.dash_marketcap
        else:
            dash.append('')

        if item.xmr_marketcap > 1000000:
            xmr.append(item.xmr_marketcap)
            now_xmr = item.xmr_marketcap
        else:
            xmr.append('')

        if item.grin_marketcap > 1000000:
            grin.append(item.grin_marketcap)
            now_grin = item.grin_marketcap
        else:
            grin.append('')

    now_dash = '$'+locale.format('%.0f', now_dash, grouping=True) 
    now_grin = '$'+locale.format('%.0f', now_grin, grouping=True)
    now_zcash = '$'+locale.format('%.0f', now_zcash, grouping=True)
    now_xmr = '$'+locale.format('%.0f', now_xmr, grouping=True)

    context = {'xmr': xmr, 'dash': dash, 'grin': grin, 'zcash': zcash, 'now_xmr': now_xmr, 
    'now_dash': now_dash, 'now_grin': now_grin, 'now_zcash': now_zcash, 'dates': dates}
    return render(request, 'charts/marketcap.html', context)

def inflationreturn(request):
    count = 0
    xmr = []
    dash = []
    grin = []
    zcash = []
    btc = []
    now_xmr = 0
    now_dash = 0
    now_grin = 0
    now_zcash = 0
    now_btc = 0
    inflation_xmr = []
    inflation_dash = []
    inflation_grin = []
    inflation_zcash = []
    inflation_btc = []

    lastxmrA = 0
    lastxmrB = 0

    count = 0
    coins = Coin.objects.order_by('date').filter(name='xmr')
    for coin in coins:
        count += 1
        if coin.priceusd and count > 30 and coin.inflation > 0:
            now_xmr = coin.priceusd/5.01
            #correcao de um erro nos dados
            if 100/coin.inflation > 110 and now_xmr < 10:
                xmr.append(lastxmrA)
                inflation_xmr.append(lastxmrB)
            else:
                xmr.append(now_xmr)
                inflation_xmr.append(100/coin.inflation)
                lastxmrA = now_xmr
                lastxmrB = 100/coin.inflation

    count = 0
    coins = Coin.objects.order_by('date').filter(name='dash')
    for coin in coins:
        count += 1
        if coin.priceusd and count > 130 and coin.inflation > 0:
            now_dash = coin.priceusd/14.7
            dash.append(now_dash)
            inflation_dash.append(100/coin.inflation)

    count = 0
    coins = Coin.objects.order_by('date').filter(name='grin')
    for coin in coins:
        count += 1
        if coin.priceusd and count > 155 and coin.inflation > 0:
            now_grin = coin.priceusd/6.37
            grin.append(now_grin)
            inflation_grin.append(100/coin.inflation)

    count = 0
    coins = Coin.objects.order_by('date').filter(name='zec')
    for coin in coins:
        count += 1
        if coin.priceusd and count > 434 and coin.inflation > 0:
            now_zcash = coin.priceusd/750
            zcash.append(now_zcash)
            inflation_zcash.append(100/coin.inflation)

    count = 0
    coins = Coin.objects.order_by('date').filter(name='btc')
    for coin in coins:
        count += 1
        if coin.priceusd and count > 325 and coin.inflation > 0:
            now_btc = coin.priceusd/30
            btc.append(now_btc)
            inflation_btc.append(100/coin.inflation)

    now_dash = locale.format('%.2f', now_dash, grouping=True) 
    now_grin = locale.format('%.2f', now_grin, grouping=True)
    now_zcash = locale.format('%.2f', now_zcash, grouping=True)
    now_xmr = locale.format('%.2f', now_xmr, grouping=True)
    now_btc = locale.format('%.2f', now_btc, grouping=True)

    context = {'inflation_btc': inflation_btc,'inflation_xmr': inflation_xmr, 'inflation_dash': inflation_dash, 'inflation_grin': inflation_grin, 'inflation_zcash': inflation_zcash, 'now_xmr': now_xmr, 
    'now_dash': now_dash, 'now_grin': now_grin, 'now_zcash': now_zcash, 'now_btc': now_btc, 'btc': btc, 'xmr': xmr, 'dash': dash, 'zcash': zcash, 'grin': grin}
    return render(request, 'charts/inflationreturn.html', context)

def bitcoin(request):
    dates = []
    dates3 = []
    dates4 = []
    btc = []
    xmr3 = []
    count1 = 0
    count3 = 0
    now_xmr = 0
    now_btc = 0

    coins_btc = Coin.objects.order_by('date').filter(name='btc')
    for coin_btc in coins_btc:
        if coin_btc.priceusd:
            if count1 > 890: #450
                btc.append(coin_btc.priceusd/30)
                now_btc = coin_btc.priceusd/30
            dates.append(count1)
            count1 += 1 #1.4
        elif count1 <= 890: #450
            continue
        else:
            btc.append('')

    coins_xmr = Coin.objects.order_by('date').filter(name='xmr')

    for coin_xmr in coins_xmr:
        if coin_xmr.priceusd:
            if count3 > 30:
                xmr3.append(coin_xmr.priceusd/5.01)
            dates4.append(count3)
            count3 += 0.92
        elif count3 <= 30:
            continue
        else:
            xmr3.append('')

    data = DailyData.objects.order_by('date')

    dates2 = []
    xmr2 = []
    btc2 = []
    
    for item in data:
        dates2.append(datetime.datetime.strftime(item.date, '%Y-%m-%d'))

        if item.btc_return > 0.0001:
            btc2.append(item.btc_return)
        else:
            btc2.append('')

        if item.xmr_return > 0.0001:
            xmr2.append(item.xmr_return)
        else:
            xmr2.append('')

    now_btc = locale.format('%.2f', now_btc, grouping=True)
    now_xmr = locale.format('%.2f', now_xmr, grouping=True)

    context = {'btc': btc, 'xmr2': xmr2, 'btc2': btc2, 'xmr3': xmr3, 'dates': dates, 'dates2': dates2, 'dates3': dates3, 'dates4': dates4}
    return render(request, 'charts/bitcoin.html', context)

def translin(request):
    symbol = 'xmr'
    transactions = []
    pricexmr = []
    dates = []
    now_transactions = 0
    maximum = 0

    coins = Coin.objects.order_by('date')
    for coin in coins:
        print(str(coin.name) + '    ' + str(coin.date))
    coins = Coin.objects.order_by('date').filter(name=symbol)
    for coin in coins:
        if coin.transactions > 200:
            transactions.append(coin.transactions)
            now_transactions = coin.transactions
            if now_transactions > maximum:
                maximum = now_transactions            
        else:
            transactions.append('')
        
        if coin.priceusd > 0.001:
            pricexmr.append(coin.priceusd)
        else:
            pricexmr.append('')

        coin.date = datetime.datetime.strftime(coin.date, '%Y-%m-%d')
        dates.append(coin.date)
    
    now_transactions = int(now_transactions)
    maximum = int(maximum)

    context = {'transactions': transactions, 'dates': dates, 'maximum': maximum, 'now_transactions': now_transactions, 'pricexmr': pricexmr}
    return render(request, 'charts/translin.html', context)

def transmonth(request):
    symbol = 'xmr'
    transactions = []
    pricexmr = []
    dates = []
    now_transactions = 0
    maximum = 0

    month_previous = '2014-01'
    month = 0
    total = 0
    coins = Coin.objects.order_by('date').filter(name=symbol)
    for coin in coins:
        aux = str(coin.date)
        month = aux.split("-")[0] + '-' + aux.split("-")[1]
        if month != month_previous:
            dates.append(month_previous)
            transactions.append(total)
            if total > maximum:
                maximum = total
            total = 0
            month_previous = month

        if coin.transactions > 0:
            total += coin.transactions         

    now_transactions = int(total)
    maximum = int(maximum)

    now_transactions = locale.format('%.0f', now_transactions, grouping=True)
    maximum = locale.format('%.0f', maximum, grouping=True)

    context = {'transactions': transactions, 'dates': dates, 'maximum': maximum, 'now_transactions': now_transactions, 'pricexmr': pricexmr}
    return render(request, 'charts/transmonth.html', context)

def percentmonth(request):
    symbol = 'xmr'
    transactions = []
    pricexmr = []
    dates = []
    now_transactions = 0
    maximum = 0

    month_previous = '2014-01'
    month = 0
    total = 0
    total_btc = 0
    total_xmr = 0
    coins = Coin.objects.order_by('date').filter(name=symbol)
    for coin in coins:
        aux = str(coin.date)
        month = aux.split("-")[0] + '-' + aux.split("-")[1]
        try:
            coin_btc = Coin.objects.filter(name='btc').get(date=coin.date)
        except:
            pass
        if month != month_previous:
            dates.append(month_previous)
            if total_btc > 0:
                total = 100*total_xmr/total_btc
            else:
                total = 0
            transactions.append(total)
            if total > maximum:
                maximum = total
            total_xmr = 0
            total_btc = 0
            month_previous = month

        if coin.transactions > 0:
            total_xmr += coin.transactions    
        if coin_btc.transactions > 0:
            total_btc += coin_btc.transactions     
    
    if total_btc > 0:
        total = 100*total_xmr/total_btc
    else:
        total = 0    

    now_transactions = locale.format('%.1f', total, grouping=True) + ' %'
    maximum = locale.format('%.1f', maximum, grouping=True) + ' %'

    context = {'transactions': transactions, 'dates': dates, 'maximum': maximum, 'now_transactions': now_transactions, 'pricexmr': pricexmr}
    return render(request, 'charts/percentmonth.html', context)

def deviation(request):
    symbol = 'xmr'
    pricexmr = []
    dates = []

    coins = Coin.objects.order_by('date').filter(name=symbol)
    for coin in coins:        
        if coin.priceusd > 0.001:
            pricexmr.append(coin.priceusd)
        else:
            pricexmr.append(0.20)

        coin.date = datetime.datetime.strftime(coin.date, '%Y-%m-%d')
        dates.append(coin.date)

    n = 180
    median_long_price = pd.Series(pricexmr).rolling(window=n).mean().iloc[n-1:].values
    m_long_price = []
    for i in range(n):
        m_long_price.append(0)
    for item in median_long_price:
        m_long_price.append(float(item))

    n = 3
    median_short_price = pd.Series(pricexmr).rolling(window=n).mean().iloc[n-1:].values
    m_short_price = []
    for i in range(n):
        m_short_price.append(0)
    for item in median_short_price:
        m_short_price.append(float(item))

    deviation_percentage = []
    deviation_price = []
    for count in range(0, len(m_short_price)):
        if float(m_long_price[count]) < 0.001:
            deviation_price.append('')
            deviation_percentage.append('')
        else:
            deviation_price.append((float(m_short_price[count])-float(m_long_price[count]))/(1))
            deviation_percentage.append(100*(float(m_short_price[count])-float(m_long_price[count]))/(float(m_long_price[count])))

    context = {'deviation_percentage': deviation_percentage, 'deviation_price': deviation_price, 'dates': dates, 'pricexmr': pricexmr}
    return render(request, 'charts/deviation.html', context)

def deviation_tx(request):
    symbol = 'xmr'
    transactions = []
    pricexmr = []
    dates = []

    coins = Coin.objects.order_by('date').filter(name=symbol)
    for coin in coins:
        transactions.append(coin.transactions)        
        if coin.priceusd > 0.001:
            pricexmr.append(coin.priceusd)
        else:
            pricexmr.append(0.20)

        coin.date = datetime.datetime.strftime(coin.date, '%Y-%m-%d')
        dates.append(coin.date)

    n = 180
    median_long = pd.Series(transactions).rolling(window=n).mean().iloc[n-1:].values
    m_long = []
    for i in range(n):
        m_long.append(0)
    for item in median_long:
        m_long.append(float(item))

    n = 3
    median_short = pd.Series(transactions).rolling(window=n).mean().iloc[n-1:].values
    m_short = []
    for i in range(n):
        m_short.append(0)
    for item in median_short:
        m_short.append(float(item))

    n = 180
    median_long_price = pd.Series(pricexmr).rolling(window=n).mean().iloc[n-1:].values
    m_long_price = []
    for i in range(n):
        m_long_price.append(0)
    for item in median_long_price:
        m_long_price.append(float(item))

    n = 3
    median_short_price = pd.Series(pricexmr).rolling(window=n).mean().iloc[n-1:].values
    m_short_price = []
    for i in range(n):
        m_short_price.append(0)
    for item in median_short_price:
        m_short_price.append(float(item))

    deviation_percentage = []
    for count in range(0, len(m_short)):
        if float(m_long[count]) < 0.001 or float(m_long_price[count]) < 0.001:
            deviation_percentage.append('')
        else:
            calculation = (float(m_short_price[count])-float(m_long_price[count]))*abs(float(m_short[count])-float(m_long[count]))/(float(m_long[count]))
            if calculation > 100:
                calculation = 100
            if calculation < -100:
                calculation = -100
            deviation_percentage.append(calculation)

    context = {'deviation_percentage': deviation_percentage, 'dates': dates, 'pricexmr': pricexmr}
    return render(request, 'charts/deviation_tx.html', context)

def percentage(request):
    data = DailyData.objects.order_by('date')

    transactions = []
    dates = []
    now_transactions = 0
    maximum = 0
    
    for item in data:
        dates.append(datetime.datetime.strftime(item.date, '%Y-%m-%d'))
        if item.xmr_transacpercentage > 0.00001:
            transactions.append(100*item.xmr_transacpercentage)
            now_transactions = 100*item.xmr_transacpercentage
            if now_transactions > maximum:
                maximum = now_transactions
        else:
            transactions.append('')
    
    now_transactions = locale.format('%.1f', now_transactions, grouping=True) + '%'
    maximum = locale.format('%.1f', maximum, grouping=True) + '%'

    context = {'transactions': transactions, 'dates': dates, 'now_transactions': now_transactions, 'maximum': maximum}
    return render(request, 'charts/percentage.html', context)

def translog(request):
    symbol = 'xmr'
    transactions = []
    pricexmr = []
    dates = []
    now_transactions = 0
    maximum = 0

    coins = Coin.objects.order_by('date').filter(name=symbol)
    for coin in coins:
        if coin.transactions > 200:
            transactions.append(coin.transactions)
            now_transactions = coin.transactions
            if now_transactions > maximum:
                maximum = now_transactions            
        else:
            transactions.append('')
        
        if coin.priceusd > 0.001:
            pricexmr.append(coin.priceusd)
        else:
            pricexmr.append('')

        coin.date = datetime.datetime.strftime(coin.date, '%Y-%m-%d')
        dates.append(coin.date)
    
    now_transactions = int(now_transactions)
    maximum = int(maximum)

    context = {'transactions': transactions, 'dates': dates, 'maximum': maximum, 'now_transactions': now_transactions, 'pricexmr': pricexmr}
    return render(request, 'charts/translog.html', context)

def hashrate(request):
    symbol = 'xmr'
    hashrate = []
    dates = []
    now_hashrate = 0

    coins = Coin.objects.order_by('date').filter(name=symbol)
    for coin in coins:
        coin.date = datetime.datetime.strftime(coin.date, '%Y-%m-%d')
        dates.append(coin.date)
        if coin.hashrate > 0:
            now_hashrate = coin.hashrate
            hashrate.append(coin.hashrate)
        else:
            hashrate.append('')

    now_hashrate = locale.format('%.0f', now_hashrate, grouping=True)

    context = {'hashrate': hashrate, 'dates': dates, 'now_hashrate': now_hashrate}
    return render(request, 'charts/hashrate.html', context)

def hashprice(request):
    symbol = 'xmr'
    hashrate = []
    dates = []
    buy = []
    sell = []
    now_hashrate = 0
    color = []
    v0 = 0.002
    delta = (0.015 - 0.002)/(6*365)
    count = 0

    coins = Coin.objects.order_by('date').filter(name=symbol)
    for coin in coins:
        if count > 50:
            buy.append(0.00000003)
            sell.append(0.00000100)
            coin.date = datetime.datetime.strftime(coin.date, '%Y-%m-%d')
            dates.append(coin.date)
            if coin.hashrate > 0 and coin.priceusd > 0:
                now_hashrate = coin.priceusd/coin.hashrate
                hashrate.append(now_hashrate)
            else:
                hashrate.append('')
            new_color = 30*coin.pricebtc/(count*delta + v0)
            color.append(new_color)
        count += 1
    
    now_hashrate = locale.format('%.8f', now_hashrate, grouping=True)

    context = {'hashrate': hashrate, 'dates': dates, 'now_hashrate': now_hashrate, 'color': color, 'buy': buy, 'sell': sell}
    return render(request, 'charts/hashprice.html', context)

def hashvsprice(request):
    symbol = 'xmr'
    hashrate = []
    prices = []
    dates = []
    now_hashrate = 0
    now_priceusd = 0
    now_pricebtc = 0
    color = []
    v0 = 0.002
    delta = (0.015 - 0.002)/(6*365)
    count = 0

    coins = Coin.objects.order_by('date').filter(name=symbol)
    for coin in coins:
        if count > 55:
            coin.date = datetime.datetime.strftime(coin.date, '%Y-%m-%d')
            dates.append(coin.date)
            if coin.priceusd > 0 and coin.hashrate:
                now_hashrate = coin.hashrate
                now_priceusd = coin.priceusd
                now_pricebtc = coin.pricebtc
                hashrate.append(now_hashrate)
                prices.append(now_priceusd)
            else:
                hashrate.append('')
                prices.append('')
            new_color = 30*coin.pricebtc/(count*delta + v0)
            color.append(new_color)
        count += 1
    
    now_hashrate = locale.format('%.0f', now_hashrate, grouping=True)
    now_priceusd = '$' + locale.format('%.2f', now_priceusd, grouping=True)
    now_pricebtc = locale.format('%.5f', now_pricebtc, grouping=True) + ' BTC'

    context = {'hashrate': hashrate, 'dates': dates, 'now_hashrate': now_hashrate, 'color': color, 'prices': prices, 'now_pricebtc': now_pricebtc, 'now_priceusd': now_priceusd}
    return render(request, 'charts/hashvsprice.html', context)

def metcalfesats(request):
    data = DailyData.objects.order_by('date')
    
    color = []
    metcalfe = []
    prices = []
    dates = []
    now_metcalfe = 0
    now_price = 0
    maximum = 0
    v0 = 0.002
    delta = (0.015 - 0.002)/(6*365)
    count = 0

    for item in data:
        dates.append(datetime.datetime.strftime(item.date, '%Y-%m-%d'))
        if item.xmr_metcalfebtc < 0.0007:
            metcalfe.append('')
            color.append('')
            prices.append('')
        else:
            metcalfe.append(item.xmr_metcalfebtc)
            now_price = item.xmr_pricebtc
            now_metcalfe = item.xmr_metcalfebtc
            if now_metcalfe > maximum:
                maximum = now_metcalfe
            color.append(30*item.xmr_pricebtc/(count*delta + v0))
            prices.append(now_price)
            count += 1
    
    now_price = locale.format('%.4f', now_price, grouping=True) + ' BTC'
    now_metcalfe = locale.format('%.4f', now_metcalfe, grouping=True) + ' BTC'
    maximum = locale.format('%.4f', maximum, grouping=True) + ' BTC'

    context = {'metcalfe': metcalfe, 'dates': dates, 'maximum': maximum, 'now_metcalfe': now_metcalfe, 'color': color, 'prices': prices, 'now_price': now_price}
    return render(request, 'charts/metcalfesats.html', context)

def metcalfesats_deviation(request):
    data = DailyData.objects.order_by('date')
    
    metcalfe_percentage = []
    metcalfe = []
    dates = []
    now_metcalfe = 0
    now_metcalfe_percentage = 0

    for item in data:
        dates.append(datetime.datetime.strftime(item.date, '%Y-%m-%d'))
        if item.xmr_metcalfebtc < 0.0007 and item.xmr_pricebtc <= 0:
            metcalfe.append('')
            metcalfe_percentage.append('')
        else:
            now_metcalfe = item.xmr_metcalfebtc - item.xmr_pricebtc
            now_metcalfe_percentage = 100*((item.xmr_metcalfebtc/item.xmr_pricebtc) - 1)
            metcalfe.append(now_metcalfe)
            metcalfe_percentage.append(now_metcalfe_percentage)
    
    now_metcalfe = locale.format('%.4f', now_metcalfe, grouping=True) 
    now_metcalfe_percentage = locale.format('%.0f', now_metcalfe_percentage, grouping=True) 

    context = {'metcalfe': metcalfe, 'dates': dates, 'now_metcalfe': now_metcalfe, 'now_metcalfe_percentage': now_metcalfe_percentage, 'metcalfe_percentage': metcalfe_percentage}
    return render(request, 'charts/metcalfesats_deviation.html', context)

def metcalfe_deviation(request):
    data = DailyData.objects.order_by('date')
    
    metcalfe_percentage = []
    metcalfe = []
    dates = []
    now_metcalfe = 0
    now_metcalfe_percentage = 0

    for item in data:
        dates.append(datetime.datetime.strftime(item.date, '%Y-%m-%d'))
        if item.xmr_metcalfeusd < 0.0007 and item.xmr_priceusd <= 0:
            metcalfe.append('')
            metcalfe_percentage.append('')
        else:
            now_metcalfe = item.xmr_metcalfeusd - item.xmr_priceusd
            now_metcalfe_percentage = 100*((item.xmr_metcalfeusd/item.xmr_priceusd) - 1)
            metcalfe.append(now_metcalfe)
            metcalfe_percentage.append(now_metcalfe_percentage)
    
    now_metcalfe = locale.format('%.0f', now_metcalfe, grouping=True) 
    now_metcalfe_percentage = locale.format('%.0f', now_metcalfe_percentage, grouping=True) 

    context = {'metcalfe': metcalfe, 'dates': dates, 'now_metcalfe': now_metcalfe, 'now_metcalfe_percentage': now_metcalfe_percentage, 'metcalfe_percentage': metcalfe_percentage}
    return render(request, 'charts/metcalfe_deviation.html', context)

def metcalfeusd(request):
    data = DailyData.objects.order_by('date')
    
    color = []
    metcalfe = []
    prices = []
    dates = []
    now_metcalfe = 0
    now_price = 0
    maximum = 0
    v0 = 0.002
    delta = (0.015 - 0.002)/(6*365)
    count = 0

    for item in data:
        dates.append(datetime.datetime.strftime(item.date, '%Y-%m-%d'))
        if item.xmr_metcalfeusd < 0.001:
            metcalfe.append('')
            color.append('')
            prices.append('')
        else:
            metcalfe.append(item.xmr_metcalfeusd)
            now_price = item.xmr_priceusd
            now_metcalfe = item.xmr_metcalfeusd
            if now_metcalfe > maximum:
                maximum = now_metcalfe
            color.append(30*item.xmr_pricebtc/(count*delta + v0))
            prices.append(now_price)
            count += 1

    now_price = "$"+ locale.format('%.2f', now_price, grouping=True)
    now_metcalfe = "$"+ locale.format('%.2f', now_metcalfe, grouping=True)
    maximum = "$"+ locale.format('%.2f', maximum, grouping=True)

    context = {'metcalfe': metcalfe, 'dates': dates, 'maximum': maximum, 'now_metcalfe': now_metcalfe, 'color': color, 'prices': prices, 'now_price': now_price}
    return render(request, 'charts/metcalfeusd.html', context)

def coins(request):
    data = DailyData.objects.order_by('date')

    supplyxmr = []
    supplybtc = []
    fsupplyxmr = []
    fsupplybtc = []
    dates = []
    now_xmr = 0
    now_btc = 0
    
    for item in data:
        dates.append(datetime.datetime.strftime(item.date, '%Y-%m-%d'))

        if item.btc_supply > 0.1:
            supplybtc.append(item.btc_supply)
            now_btc = item.btc_supply
        else:
            supplybtc.append('')

        if item.xmr_inflation > 0.1:
            supplyxmr.append(item.xmr_supply)
            now_xmr = item.xmr_supply
        else:
            supplyxmr.append('')

        fsupplyxmr.append('')
        fsupplybtc.append('')

    rewardbtc = 900
    supplybitcoin = item.btc_supply
    supply = int(item.xmr_supply)*10**12
    for i in range(365*(2060-2020)):
        supply = int(supply)
        reward = (2**64 -1 - supply) >> 19
        if reward < 0.6*(10**12):
            reward = 0.6*(10**12)
        supply += int(720*reward)
        fsupplyxmr.append(supply/(10**12))
        date_aux = item.date + timedelta(i)
        dates.append(datetime.datetime.strftime(date_aux, '%Y-%m-%d'))
        supplybitcoin += rewardbtc
        if supplybitcoin > 21000000:
            supplybitcoin = 21000000
        fsupplybtc.append(supplybitcoin)
        date_aux2 = datetime.datetime.strftime(date_aux, '%Y-%m-%d')
        if date_aux2 == '2024-04-23':
            rewardbtc = rewardbtc/2
        if date_aux2 == '2028-05-05':
            rewardbtc = rewardbtc/2
        if date_aux2 == '2032-05-03':
            rewardbtc = rewardbtc/2
        if date_aux2 == '2036-04-30':
            rewardbtc = rewardbtc/2
        if date_aux2 == '2040-04-27':
            rewardbtc = rewardbtc/2
        if date_aux2 == '2044-04-25':
            rewardbtc = rewardbtc/2
        if date_aux2 == '2048-04-22':
            rewardbtc = rewardbtc/2
        if date_aux2 == '2052-04-19':
            rewardbtc = rewardbtc/2
        if date_aux2 == '2056-04-30':
            rewardbtc = rewardbtc/2
        if date_aux2 == '2060-04-27':
            rewardbtc = rewardbtc/2
        if date_aux2 == '2064-04-25':
            rewardbtc = rewardbtc/2
        if date_aux2 == '2068-04-22':
            rewardbtc = rewardbtc/2
        if date_aux2 == '2072-04-19':
            rewardbtc = rewardbtc/2
        if date_aux2 == '2076-04-30':
            rewardbtc = rewardbtc/2
        if date_aux2 == '2080-04-27':
            rewardbtc = rewardbtc/2
        if date_aux2 == '2084-04-25':
            rewardbtc = rewardbtc/2
        if date_aux2 == '2088-04-22':
            rewardbtc = rewardbtc/2
        if date_aux2 == '2140-01-01':
            rewardbtc = 0
            supplybitcoin = 21000000
        supplyxmr.append('')
        supplybtc.append('')
        
    now_btc = locale.format('%.0f', now_btc, grouping=True)
    now_xmr = locale.format('%.0f', now_xmr, grouping=True)

    context = {'supplyxmr': supplyxmr, 'supplybtc': supplybtc, 'fsupplyxmr': fsupplyxmr, 'fsupplybtc': fsupplybtc, 'now_xmr': now_xmr, 'now_btc': now_btc, 'dates': dates}
    return render(request, 'charts/coins.html', context)

def dailyemission(request):
    data = DailyData.objects.order_by('date')

    emissionbtc = []
    emissionxmr = []
    dates = []
    now_btc = 0
    now_xmr = 0
    high_btc = 0
    high_xmr = 0

    for item in data:
        if item.btc_emissionusd == 0:
            emissionbtc.append('')
        else:
            emissionbtc.append(item.btc_emissionusd)
            now_btc = item.btc_emissionusd
            if item.btc_emissionusd > high_btc:
                high_btc = item.btc_emissionusd
        
        if item.xmr_emissionusd == 0:
            emissionxmr.append('')
        else:
            emissionxmr.append(item.xmr_emissionusd)
            now_xmr = item.xmr_emissionusd
            if item.xmr_emissionusd > high_xmr:
                high_xmr = item.xmr_emissionusd
        dates.append(datetime.datetime.strftime(item.date, '%Y-%m-%d'))

    for i in range(500):
        date_aux = item.date + timedelta(i)
        dates.append(datetime.datetime.strftime(date_aux, '%Y-%m-%d'))
        emissionxmr.append('')
        emissionbtc.append('')
        
    now_btc = "$" + locale.format('%.0f', now_btc, grouping=True)
    now_xmr = "$" + locale.format('%.0f', now_xmr, grouping=True)
    high_btc = "$" + locale.format('%.0f', high_btc, grouping=True)
    high_xmr = "$" + locale.format('%.0f', high_xmr, grouping=True)

    context = {'emissionxmr': emissionxmr, 'emissionbtc': emissionbtc, 'high_xmr': high_xmr, 'high_btc': high_btc, 'now_xmr': now_xmr, 'now_btc': now_btc, 'dates': dates}
    return render(request, 'charts/dailyemission.html', context)

def extracoins(request):
    data = DailyData.objects.order_by('date')

    nsupply = []
    fsupply = []
    dates = []
    now_diff = 0
    
    for item in data:
        dates.append(datetime.datetime.strftime(item.date, '%Y-%m-%d'))

        if item.btc_supply - item.xmr_supply > 0:
            nsupply.append(item.btc_supply - item.xmr_supply)
        else:
            nsupply.append('')

        fsupply.append('')

    rewardbtc = 900
    supplybitcoin = item.btc_supply
    supply = int(item.xmr_supply)*10**12
    for i in range(365*(2060-2020)):
        supply = int(supply)
        reward = (2**64 -1 - supply) >> 19
        if reward < 0.6*(10**12):
            reward = 0.6*(10**12)
        supply += int(720*reward)
        date_aux = item.date + timedelta(i)
        dates.append(datetime.datetime.strftime(date_aux, '%Y-%m-%d'))
        supplybitcoin += rewardbtc
        if supplybitcoin > 21000000:
            supplybitcoin = 21000000
        fsupply.append(-supply/(10**12) + supplybitcoin)
        date_aux2 = datetime.datetime.strftime(date_aux, '%Y-%m-%d')
        if date_aux2 == '2024-04-23':
            rewardbtc = rewardbtc/2
        if date_aux2 == '2028-05-05':
            rewardbtc = rewardbtc/2
        if date_aux2 == '2032-05-03':
            rewardbtc = rewardbtc/2
        if date_aux2 == '2036-04-30':
            rewardbtc = rewardbtc/2
        if date_aux2 == '2040-04-27':
            rewardbtc = rewardbtc/2
        if date_aux2 == '2044-04-25':
            rewardbtc = rewardbtc/2
        if date_aux2 == '2048-04-22':
            rewardbtc = rewardbtc/2
        if date_aux2 == '2052-04-19':
            rewardbtc = rewardbtc/2
        if date_aux2 == '2056-04-30':
            rewardbtc = rewardbtc/2
        if date_aux2 == '2060-04-27':
            rewardbtc = rewardbtc/2
        if date_aux2 == '2064-04-25':
            rewardbtc = rewardbtc/2
        if date_aux2 == '2068-04-22':
            rewardbtc = rewardbtc/2
        if date_aux2 == '2072-04-19':
            rewardbtc = rewardbtc/2
        if date_aux2 == '2076-04-30':
            rewardbtc = rewardbtc/2
        if date_aux2 == '2080-04-27':
            rewardbtc = rewardbtc/2
        if date_aux2 == '2084-04-25':
            rewardbtc = rewardbtc/2
        if date_aux2 == '2088-04-22':
            rewardbtc = rewardbtc/2
        if date_aux2 == '2140-01-01':
            rewardbtc = 0
            supplybitcoin = 21000000
        nsupply.append('')
        
    now_diff = locale.format('%.0f', now_diff, grouping=True)

    context = {'nsupply': nsupply, 'fsupply': fsupply, 'dates': dates, 'now_diff': now_diff}
    return render(request, 'charts/extracoins.html', context)

def inflation(request):
    data = DailyData.objects.order_by('date')

    inflationxmr = []
    inflationbtc = []
    finflationxmr = []
    finflationbtc = []
    dates = []
    now_xmr = 999999
    now_btc = 999999
    
    for item in data:
        dates.append(datetime.datetime.strftime(item.date, '%Y-%m-%d'))

        if item.btc_inflation > 0.1:
            inflationbtc.append(item.btc_inflation)
            now_btc = item.btc_inflation
        else:
            inflationbtc.append('')

        if item.xmr_inflation > 0.1:
            inflationxmr.append(item.xmr_inflation)
            now_xmr = item.xmr_inflation
        else:
            inflationxmr.append('')
        
        finflationxmr.append('')
        finflationbtc.append('')

    inflationbitcoin = 1.75
    supply = int(item.xmr_supply)*10**12
    for i in range(2000):
        supply = int(supply)
        reward = (2**64 -1 - supply) >> 19
        if reward < 0.6*(10**12):
            reward = 0.6*(10**12)
        supply += int(720*reward)
        finflationxmr.append(100*reward*720*365/supply)
        date_aux = item.date + timedelta(i)
        dates.append(datetime.datetime.strftime(date_aux, '%Y-%m-%d'))
        finflationbtc.append(inflationbitcoin)
        date_aux2 = datetime.datetime.strftime(date_aux, '%Y-%m-%d')
        if date_aux2 == '2024-04-23':
            inflationbitcoin = 0.65
        inflationxmr.append('')
        inflationbtc.append('')
        
    now_btc = locale.format('%.2f', now_btc, grouping=True) + '%'
    now_xmr = locale.format('%.2f', now_xmr, grouping=True) + '%'

    context = {'inflationxmr': inflationxmr, 'inflationbtc': inflationbtc, 'finflationxmr': finflationxmr, 'finflationbtc': finflationbtc, 'now_xmr': now_xmr, 'now_btc': now_btc, 'dates': dates}
    return render(request, 'charts/inflation.html', context)

def blocksize(request):
    data = DailyData.objects.order_by('date')

    xmr_blocksize = []
    btc_blocksize = []
    dates = []
    now_xmr = 0
    now_btc = 0
    
    for item in data:
        dates.append(datetime.datetime.strftime(item.date, '%Y-%m-%d'))
        if item.btc_blocksize > 0.001:
            btc_blocksize.append(item.btc_blocksize/1024)
            now_btc = item.btc_blocksize
        else:
            btc_blocksize.append('')

        if item.xmr_blocksize > 0.001:
            xmr_blocksize.append(item.xmr_blocksize/1024)
            now_xmr = item.xmr_blocksize
        else:
            xmr_blocksize.append('')
        
    now_btc = locale.format('%.2f', now_btc, grouping=True) + ' bytes'
    now_xmr = locale.format('%.2f', now_xmr, grouping=True) + ' bytes'

    context = {'xmr_blocksize': xmr_blocksize, 'btc_blocksize': btc_blocksize, 'now_xmr': now_xmr, 'now_btc': now_btc, 'dates': dates}
    return render(request, 'charts/blocksize.html', context)

def transactionsize(request):
    data = DailyData.objects.order_by('date')

    xmr_blocksize = []
    btc_blocksize = []
    dates = []
    now_xmr = 0
    now_btc = 0
    
    for item in data:
        dates.append(datetime.datetime.strftime(item.date, '%Y-%m-%d'))

        if item.btc_blocksize > 0.001 and item.btc_transactions > 0:
            now_btc = 144*item.btc_blocksize/(1024*item.btc_transactions)
            btc_blocksize.append(144*item.btc_blocksize/(1024*item.btc_transactions))
        else:
            btc_blocksize.append('')

        if item.xmr_blocksize > 0.001 and item.xmr_transactions > 0:
            now_xmr = 720*item.xmr_blocksize/(1024*item.xmr_transactions)
            xmr_blocksize.append(720*item.xmr_blocksize/(1024*item.xmr_transactions))
        else:
            xmr_blocksize.append('')
        
    now_btc = locale.format('%.2f', now_btc, grouping=True) + ' bytes'
    now_xmr = locale.format('%.2f', now_xmr, grouping=True) + ' bytes'

    context = {'xmr_blocksize': xmr_blocksize, 'btc_blocksize': btc_blocksize, 'now_xmr': now_xmr, 'now_btc': now_btc, 'dates': dates}
    return render(request, 'charts/transactionsize.html', context)

def transactiondominance(request): 
    data = DailyData.objects.order_by('date')

    xmr_dominance = []
    dates = []
    now_xmr = 0
    maximum = 0
    
    for item in data:
        dates.append(datetime.datetime.strftime(item.date, '%Y-%m-%d'))
        if item.xmr_transactions > 0:
            now_xmr = 100*item.xmr_transactions/(item.xmr_transactions+item.dash_transactions+item.zcash_transactions+item.grin_transactions)
        else:
            now_xmr = 0
        if now_xmr > maximum:
            maximum = now_xmr
        xmr_dominance.append(now_xmr)
        
    now_xmr = locale.format('%.1f', now_xmr, grouping=True) + '%'
    maximum = locale.format('%.1f', maximum, grouping=True) + '%'

    context = {'xmr_dominance': xmr_dominance, 'now_xmr': now_xmr, 'maximum': maximum, 'dates': dates}
    return render(request, 'charts/transactiondominance.html', context)

def difficulty(request):
    data = DailyData.objects.order_by('date')

    xmr_difficulty = []
    btc_difficulty = []
    dates = []
    now_xmr = 0
    now_btc = 0
    
    for item in data:
        dates.append(datetime.datetime.strftime(item.date, '%Y-%m-%d'))

        if item.btc_difficulty > 0.001:
            now_btc = item.btc_difficulty
            btc_difficulty.append(now_btc)
        else:
            btc_difficulty.append('')

        if item.xmr_difficulty > 0.001:
            now_xmr = item.xmr_difficulty
            xmr_difficulty.append(now_xmr)
        else:
            xmr_difficulty.append('')
        
    now_btc = locale.format('%.0f', now_btc, grouping=True)
    now_xmr = locale.format('%.0f', now_xmr, grouping=True)

    context = {'xmr_difficulty': xmr_difficulty, 'btc_difficulty': btc_difficulty, 'now_xmr': now_xmr, 'now_btc': now_btc, 'dates': dates}
    return render(request, 'charts/difficulty.html', context)

def blockchainsize(request):
    data = DailyData.objects.order_by('date')

    xmr_blocksize = []
    btc_blocksize = []
    dates = []
    now_xmr = 0
    now_btc = 0
    hardfork = datetime.datetime.strptime('2016-03-23', '%Y-%m-%d') #block time changed here

    for item in data:
        date = datetime.datetime.strftime(item.date, '%Y-%m-%d')
        dates.append(date)
        date = datetime.datetime.strptime(date, '%Y-%m-%d')

        if item.btc_blocksize > 0.001 and item.btc_transactions > 0:
            now_btc += 144*item.btc_blocksize/1024
            if now_btc < 200:
                btc_blocksize.append('')
            else:
                btc_blocksize.append(now_btc)
        else:
            btc_blocksize.append('')

        if item.xmr_blocksize > 0.001 and item.xmr_transactions > 0:            
            if date < hardfork: 
                now_xmr += 1440*item.xmr_blocksize/1024
            else:
                now_xmr += 720*item.xmr_blocksize/1024

            if now_xmr < 200:
                xmr_blocksize.append('')
            else:
                xmr_blocksize.append(now_xmr)
        else:
            xmr_blocksize.append('')
        
    now_btc = locale.format('%.2f', now_btc/(1024*1024), grouping=True) + ' Gb'
    now_xmr = locale.format('%.2f', now_xmr/(1024*1024), grouping=True) + ' Gb'

    context = {'xmr_blocksize': xmr_blocksize, 'btc_blocksize': btc_blocksize, 'now_xmr': now_xmr, 'now_btc': now_btc, 'dates': dates}
    return render(request, 'charts/blockchainsize.html', context)

def securitybudget(request):
    data = DailyData.objects.order_by('date')

    xmr_security = []
    btc_security = []
    dates = []
    now_xmr = 0
    now_btc = 0

    for item in data:
        date = datetime.datetime.strftime(item.date, '%Y-%m-%d')
        dates.append(date)
        if item.btc_minerrevusd > 0.001:
            now_btc = item.btc_minerrevusd/86400
            btc_security.append(now_btc)
        else:
            btc_security.append('')

        if item.xmr_minerrevusd > 0.001:            
            now_xmr = item.xmr_minerrevusd/86400
            xmr_security.append(now_xmr)
        else:
            xmr_security.append('')
        
    now_btc = '$' + locale.format('%.2f', now_btc, grouping=True) 
    now_xmr = '$' + locale.format('%.2f', now_xmr, grouping=True)

    context = {'xmr_security': xmr_security, 'btc_security': btc_security, 'now_xmr': now_xmr, 'now_btc': now_btc, 'dates': dates}
    return render(request, 'charts/securitybudget.html', context)

def efficiency(request):
    data = DailyData.objects.order_by('date')

    xmr_efficiency = []
    btc_efficiency = []
    dates = []
    now_xmr = 0
    now_btc = 0

    for item in data:
        date = datetime.datetime.strftime(item.date, '%Y-%m-%d')
        dates.append(date)
        if item.btc_minerrevusd != 0 and item.btc_inflation > 0:        
            if (2**32)*item.btc_difficulty*0.10/(item.btc_minerrevusd*24000) > 10:
                now_btc = (2**32)*item.btc_difficulty*0.10/(item.btc_minerrevusd*24000)
            if now_btc > 0.01:
                btc_efficiency.append(now_btc)
            else:
                btc_efficiency.append('')
        else:
            btc_efficiency.append('')

        if item.xmr_minerrevusd != 0 and item.xmr_inflation > 0:            
            if item.xmr_difficulty*0.10/(item.xmr_minerrevusd*5000) > 0.01:
                now_xmr = item.xmr_difficulty*0.10/(item.xmr_minerrevusd*5000)
            if now_xmr > 0.01:
                xmr_efficiency.append(now_xmr)
            else:
                xmr_efficiency.append('')
        else:
            xmr_efficiency.append('')
        
    now_btc = locale.format('%.0f', now_btc, grouping=True) 
    now_xmr = locale.format('%.0f', now_xmr, grouping=True)

    context = {'xmr_efficiency': xmr_efficiency, 'btc_efficiency': btc_efficiency, 'now_xmr': now_xmr, 'now_btc': now_btc, 'dates': dates}
    return render(request, 'charts/efficiency.html', context)

def compinflation(request):
    data = DailyData.objects.order_by('date')

    dates = []
    inflationxmr = []
    inflationdash = []
    inflationgrin = []
    inflationzcash = []
    inflationbtc = []
    now_xmr = 999999
    now_dash = 999999
    now_grin = 999999
    now_zcash = 999999
    now_btc = 999999
    
    for item in data:
        dates.append(datetime.datetime.strftime(item.date, '%Y-%m-%d'))

        if item.btc_inflation > 0.1:
            inflationbtc.append(item.btc_inflation)
            now_btc = item.btc_inflation
        else:
            inflationbtc.append('')

        if item.zcash_inflation > 0.1:
            inflationzcash.append(item.zcash_inflation)
            now_zcash = item.zcash_inflation
        else:
            inflationzcash.append('')

        if item.dash_inflation > 0.1:
            inflationdash.append(item.dash_inflation)
            now_dash = item.dash_inflation
        else:
            inflationdash.append('')

        if item.xmr_inflation > 0.1:
            inflationxmr.append(item.xmr_inflation)
            now_xmr = item.xmr_inflation
        else:
            inflationxmr.append('')

        if item.grin_inflation > 0.1:
            inflationgrin.append(item.grin_inflation)
            now_grin = item.grin_inflation
        else:
            inflationgrin.append('')
            
    now_dash = locale.format('%.2f', now_dash, grouping=True) + '%'
    now_grin = locale.format('%.2f', now_grin, grouping=True) + '%'
    now_zcash = locale.format('%.2f', now_zcash, grouping=True) + '%'
    now_xmr = locale.format('%.2f', now_xmr, grouping=True) + '%'
    now_btc = locale.format('%.2f', now_btc, grouping=True) + '%'

    context = {'inflationxmr': inflationxmr, 'inflationdash': inflationdash, 'inflationgrin': inflationgrin, 'inflationzcash': inflationzcash, 'inflationbtc': inflationbtc,
    'now_xmr': now_xmr, 'now_btc': now_btc, 'now_dash': now_dash, 'now_grin': now_grin, 'now_zcash': now_zcash, 'now_btc': now_btc, 'dates': dates}
    return render(request, 'charts/compinflation.html', context)

def comptransactions(request): 
    data = DailyData.objects.order_by('date')

    dates = []
    xmr = []
    dash = []
    grin = []
    zcash = []
    btc = []
    now_xmr = 999999
    now_dash = 999999
    now_grin = 999999
    now_zcash = 999999
    now_btc = 999999
    
    for item in data:
        dates.append(datetime.datetime.strftime(item.date, '%Y-%m-%d'))

        if item.btc_transactions > 10:
            btc.append(item.btc_transactions)
            now_btc = item.btc_transactions
        else:
            btc.append('')

        if item.zcash_transactions > 10:
            zcash.append(item.zcash_transactions)
            now_zcash = item.zcash_transactions
        else:
            zcash.append('')

        if item.dash_transactions > 10:
            dash.append(item.dash_transactions)
            now_dash = item.dash_transactions
        else:
            dash.append('')

        if item.xmr_transactions > 10:
            xmr.append(item.xmr_transactions)
            now_xmr = item.xmr_transactions
        else:
            xmr.append('')

        if item.grin_transactions > 10:
            grin.append(item.grin_transactions)
            now_grin = item.grin_transactions
        else:
            grin.append('')
            
    now_dash = locale.format('%.0f', now_dash, grouping=True)
    now_grin = locale.format('%.0f', now_grin, grouping=True)
    now_zcash = locale.format('%.0f', now_zcash, grouping=True)
    now_xmr = locale.format('%.0f', now_xmr, grouping=True)
    now_btc = locale.format('%.0f', now_btc, grouping=True) 

    context = {'xmr': xmr, 'dash': dash, 'grin': grin, 'zcash': zcash, 'btc': btc, 'now_xmr': now_xmr, 'now_btc': now_btc, 'now_dash': now_dash, 'now_grin': now_grin, 'now_zcash': now_zcash, 'now_btc': now_btc, 'dates': dates}
    return render(request, 'charts/comptransactions.html', context)

def sfmodel(request):
    dates = []
    stock_to_flow = []
    projection = []
    color = []
    values = []
    now_price = 0
    now_sf = 0
    now_inflation = 0

    data = Sfmodel.objects.order_by('date')
    count_aux = 0
    for item in data:
        if item.color != 0:
            color.append(item.color)
        else:
            color.append('')

        if item.greyline != 0:
            projection.append(item.greyline)
            if count_aux > 25:
                count_aux = 0
            else:
                projection.append(item.greyline)
        else:
            projection.append('')

        if item.stocktoflow > 0.2:
            stock_to_flow.append(item.stocktoflow)
        else:
            stock_to_flow.append('')

        if item.priceusd > 0.1:
            values.append(item.priceusd)
            now_price = item.priceusd
            now_sf = item.stocktoflow
            if item.date > date.today() - timedelta(4):
                coins = Coin.objects.filter(name='xmr').filter(date=item.date)
                if coins:
                    for coin in coins:
                        now_inflation = coin.inflation
        else:
            values.append('')
        count_aux += 1
    
        dates.append(datetime.datetime.strftime(item.date, '%Y-%m-%d'))

    now_price = "$"+ locale.format('%.2f', now_price, grouping=True)
    now_sf = "$"+ locale.format('%.2f', now_sf, grouping=True)
    now_inflation = locale.format('%.2f', now_inflation, grouping=True)+'%'

    context = {'values': values, 'dates': dates, 'stock_to_flow': stock_to_flow, 'projection': projection, 'now_price': now_price, 'now_inflation': now_inflation, 'now_sf': now_sf, 'color': color}
    return render(request, 'charts/sfmodel.html', context)

def sfmodellin(request):
    dates = []
    stock_to_flow = []
    projection = []
    color = []
    values = []
    now_price = 0
    now_sf = 0
    now_inflation = 0

    data = Sfmodel.objects.order_by('date')
    count_aux = 0
    for item in data:
        if item.color != 0:
            color.append(item.color)
        else:
            color.append('')

        if item.greyline != 0:
            projection.append(item.greyline)
            if count_aux > 25:
                count_aux = 0
            else:
                projection.append(item.greyline)
        else:
            projection.append('')

        if item.stocktoflow > 0.2:
            stock_to_flow.append(item.stocktoflow)
        else:
            stock_to_flow.append('')

        if item.priceusd > 0.1:
            values.append(item.priceusd)
            now_price = item.priceusd
            now_sf = item.stocktoflow
            if item.date > date.today() - timedelta(4):
                coins = Coin.objects.filter(name='xmr').filter(date=item.date)
                if coins:
                    for coin in coins:
                        now_inflation = coin.inflation
        else:
            values.append('')
        count_aux += 1
    
        dates.append(datetime.datetime.strftime(item.date, '%Y-%m-%d'))

    now_price = "$"+ locale.format('%.2f', now_price, grouping=True)
    now_sf = "$"+ locale.format('%.2f', now_sf, grouping=True)
    now_inflation = locale.format('%.2f', now_inflation, grouping=True)+'%'

    context = {'values': values, 'dates': dates, 'stock_to_flow': stock_to_flow,'now_price': now_price, 'now_inflation': now_inflation, 'now_sf': now_sf, 'color': color}
    return render(request, 'charts/sfmodellin.html', context)

def sfmultiple(request):
    symbol = 'xmr'
    now_sf = 0
    maximum = 0
    dates = []
    stock_to_flow = []
    buy = []
    sell = []
    color = []
    v0 = 0.002
    delta = (0.015 - 0.002)/(6*365)
    count = 0
    sf_aux = 0 
    coins = Coin.objects.order_by('date').filter(name=symbol)
    for coin in coins:
        dates.append(datetime.datetime.strftime(coin.date, '%Y-%m-%d'))
        buy.append(1)
        sell.append(100)
        if coin.stocktoflow > sf_aux*2+250:
            coin.stocktoflow = sf_aux
        sf_aux = coin.stocktoflow
        if coin.priceusd < 1:
            coin.priceusd = 1
        if coin.stocktoflow != 0:
            now_sf = coin.supply*coin.priceusd/(coin.stocktoflow*1500000)
        stock_to_flow.append(now_sf)
        buy.append(1)
        sell.append(100)
        if now_sf > maximum:
            maximum = now_sf
        new_color = 30*coin.pricebtc/(count*delta + v0)
        color.append(new_color)
        count += 1  

    now_sf = locale.format('%.2f', now_sf, grouping=True)
    maximum = locale.format('%.2f', maximum, grouping=True)

    context = {'dates': dates, 'maximum': maximum, 'stock_to_flow': stock_to_flow, 'now_sf': now_sf, 'buy': buy, 'sell': sell, 'color': color}
    return render(request, 'charts/sfmultiple.html', context)

def marketcycle(request):
    dates = []
    color = []
    sell = []
    buy = []
    data = Sfmodel.objects.order_by('date')
    for item in data:
        if item.color > 0:
            color.append(item.color - 5)
        else:
            color.append('')

        sell.append(100)
        buy.append(0)
        dates.append(datetime.datetime.strftime(item.date, '%Y-%m-%d'))

    now_cycle = locale.format('%.2f', item.color, grouping=True)

    context = {'dates': dates, 'color': color, 'sell': sell, 'buy': buy, 'now_cycle': now_cycle}
    return render(request, 'charts/marketcycle.html', context)

def shielded(request):
    dates = []
    values = []
    values2 = []
    values3 = []
    gc = pygsheets.authorize(service_file='service_account_credentials.json')
    sh = gc.open('zcash_bitcoin')
    wks = sh.worksheet_by_title('Sheet1')
    dominance = 0
    monthly = 0 
    values_mat = wks.get_values(start=(3,1), end=(999,5), returnas='matrix')

    for k in range(0,len(values_mat)):
        if values_mat[k][0] and values_mat[k][3]:
            date = values_mat[k][0]
            value = values_mat[k][3]
            value3 = values_mat[k][4]
            if not(value) or not(value):
                break
            else:
                dates.append(date)
                values.append(int(value))
                values3.append(int(value3))
        else:
            break
    
    previous_date = 0
    coins = Coin.objects.order_by('date').filter(name='xmr')
    for date in dates:
        value2 = 0
        for coin in coins:
            aux = str(coin.date)
            month = aux.split("-")[0] + '-' + aux.split("-")[1]
            if month == date:
                if previous_date != coin.date:
                    value2 += coin.transactions
                    previous_date = coin.date
        
        values2.append(int(value2))
    
    dominance = 100*int(value2)/(int(value2)+int(value)+int(value3))
    monthly = int(value2)
    
    monthly = format(int(monthly),',')
    dominance = locale.format('%.2f', dominance, grouping=True)
    
    context = {'dates': dates, 'values': values, 'values2': values2, 'values3': values3, "monthly": monthly, "dominance": dominance}
    return render(request, 'charts/shielded.html', context)

def thermocap(request):
    symbol = 'xmr'
    dates = []
    values = []
    thermocap = []
    color = []
    v0 = 0.002
    delta = (0.015 - 0.002)/(6*365)
    count = 0
    sf_aux = 0 
    supply = 0
    calorie = 1
    calories = []
    calories2 = []
    calories3 = []
    coins = Coin.objects.order_by('date').filter(name=symbol)
    for coin in coins:
        dates.append(datetime.datetime.strftime(coin.date, '%Y-%m-%d'))
        if coin.stocktoflow > sf_aux*2+250:
            coin.stocktoflow = sf_aux
        sf_aux = coin.stocktoflow
        values.append(coin.priceusd)
        new_color = 30*coin.pricebtc/(count*delta + v0)
        color.append(new_color)

        calorie += (coin.supply - supply)*coin.priceusd
        if coin.inflation != 0:
            if calorie/(4200000*math.sqrt(coin.inflation)) < 0.1:
                calories.append('')
            else:
                calories.append(calorie/(4200000*math.sqrt(coin.inflation)))
            if calorie/(1000000*math.sqrt(coin.inflation)) < 0.1:
                calories2.append('')
            else:
                calories2.append(calorie/(1000000*math.sqrt(coin.inflation)))
            if 28*calorie/(2500000*math.sqrt(coin.inflation)) < 0.1:
                calories3.append('')
            else:
                calories3.append(28*calorie/(2500000*math.sqrt(coin.inflation)))
        else:
            calories.append('')
        temperature = coin.priceusd/calorie
        if temperature > 0.000004:
            temperature = 0.000004
        thermocap.append(temperature)
        supply = coin.supply
        count += 1  

    temperature = locale.format('%.2f', temperature, grouping=True)

    context = {'dates': dates, 'temperature': temperature, 'values': values, 'thermocap': thermocap, 'color': color, 'calories': calories,
    'calories2': calories2, 'calories3': calories3}
    return render(request, 'charts/thermocap.html', context)

def sharpe(request):
    symbol = 'xmr'
    dates = []
    values = []
    color = []
    rocs = []
    sharpe = []
    v0 = 0.002
    delta = (0.015 - 0.002)/(6*365)
    count = 0
    price = 0
    coins = Coin.objects.order_by('date').filter(name=symbol)
    for coin in coins:
        new_color = 30*coin.pricebtc/(count*delta + v0)
        count += 1  
        if count % 7 == 0:
            if price == 0:
                if coin.priceusd > 0:
                    price = coin.priceusd
                    roc = 0
                else:
                    roc = 0
            else:
                roc = (coin.priceusd - price)/price
                price = coin.priceusd
            rocs.append(roc)
            dates.append(datetime.datetime.strftime(coin.date, '%Y-%m-%d'))
            values.append(coin.priceusd)
            color.append(new_color)
    
    n = 52
    median = pd.Series(rocs).rolling(window=n).mean().iloc[n-1:].values
    std = pd.Series(rocs).rolling(window=n).std().iloc[n-1:].values

    aux = list(map(truediv, median, std))
    for count in range(51):
        sharpe.append('')
    for item in aux:
        sharpe.append(item*math.sqrt(52))

    context = {'dates': dates, 'values': values, 'color': color, 'sharpe': sharpe}
    return render(request, 'charts/sharpe.html', context)

def about(request):
    context = {}
    return render(request, 'charts/about.html', context)

def transcost(request):
    data = DailyData.objects.order_by('date')
    costbtc = []
    costxmr = []
    dates = []
    now_btc = 0
    now_xmr = 0

    for item in data:
        dates.append(datetime.datetime.strftime(item.date, '%Y-%m-%d'))
        if item.xmr_transcostusd == 0:
            costxmr.append('')
        else:
            costxmr.append(item.xmr_transcostusd)
            now_xmr = item.xmr_transcostusd
        if item.btc_transcostusd == 0:
            costbtc.append('')
        else:
            costbtc.append(item.btc_transcostusd)
            now_btc = item.btc_transcostusd

    now_btc = "$" + locale.format('%.2f', now_btc, grouping=True)
    now_xmr = "$" + locale.format('%.2f', now_xmr, grouping=True)

    context = {'costxmr': costxmr, 'costbtc': costbtc, 'now_xmr': now_xmr, 'now_btc': now_btc, 'dates': dates}
    return render(request, 'charts/transcost.html', context)

def transcostntv(request):
    data = DailyData.objects.order_by('date')
    costbtc = []
    costxmr = []
    dates = []
    now_btc = 0
    now_xmr = 0

    for item in data:
        dates.append(datetime.datetime.strftime(item.date, '%Y-%m-%d'))
        if item.xmr_transcostntv == 0:
            costxmr.append('')
        else:
            costxmr.append(item.xmr_transcostntv)
            now_xmr = item.xmr_transcostntv
        if item.btc_transcostntv == 0:
            costbtc.append('')
        else:
            costbtc.append(item.btc_transcostntv)
            now_btc = item.btc_transcostntv
        
    now_btc = locale.format('%.6f', now_btc, grouping=True)
    now_xmr = locale.format('%.6f', now_xmr, grouping=True)

    context = {'costxmr': costxmr, 'costbtc': costbtc, 'now_xmr': now_xmr, 'now_btc': now_btc, 'dates': dates}
    return render(request, 'charts/transcostntv.html', context)

def minerrevcap(request):
    data = DailyData.objects.order_by('date')
    costbtc = []
    costxmr = []
    dates = []
    now_btc = 0
    now_xmr = 0

    for item in data:
        dates.append(datetime.datetime.strftime(item.date, '%Y-%m-%d'))
        if item.xmr_minerrevcap == 0:
            costxmr.append('')
        else:
            costxmr.append(item.xmr_minerrevcap)
            now_xmr = item.xmr_minerrevcap
        if item.btc_minerrevcap == 0:
            costbtc.append('')
        else:
            costbtc.append(item.btc_minerrevcap)
            now_btc = item.btc_minerrevcap
        
    now_btc = locale.format('%.2f', now_btc, grouping=True) + "%"
    now_xmr = locale.format('%.2f', now_xmr, grouping=True) + "%"

    context = {'costxmr': costxmr, 'costbtc': costbtc, 'now_xmr': now_xmr, 'now_btc': now_btc, 'dates': dates}
    return render(request, 'charts/minerrevcap.html', context)

def minerrev(request): 
    data = DailyData.objects.order_by('date')
    costbtc = []
    costxmr = []
    dates = []
    now_btc = 0
    now_xmr = 0

    for item in data:
        dates.append(datetime.datetime.strftime(item.date, '%Y-%m-%d'))
        if item.btc_minerrevusd < 0.0001:
            costbtc.append('')
        else:
            costbtc.append(item.btc_minerrevusd)
            now_btc = item.btc_minerrevusd
        if item.xmr_minerrevusd < 0.0001:
            costxmr.append('')
        else:
            costxmr.append(item.xmr_minerrevusd)
            now_xmr = item.xmr_minerrevusd

    now_btc = "$" + locale.format('%.2f', now_btc, grouping=True)
    now_xmr = "$" + locale.format('%.2f', now_xmr, grouping=True)

    context = {'costxmr': costxmr, 'costbtc': costbtc, 'now_xmr': now_xmr, 'now_btc': now_btc, 'dates': dates}
    return render(request, 'charts/minerrev.html', context)

def minerrevntv(request):
    data = DailyData.objects.order_by('date')
    costbtc = []
    costxmr = []
    dates = []
    now_btc = 0
    now_xmr = 0
    for item in data:
        dates.append(datetime.datetime.strftime(item.date, '%Y-%m-%d'))
        if item.btc_minerrevntv < 0.0001:
            costbtc.append('')
        else:
            costbtc.append(item.btc_minerrevntv)
            now_btc = item.btc_minerrevntv
        if item.xmr_minerrevntv < 0.0001:
            costxmr.append('')
        else:
            costxmr.append(item.xmr_minerrevntv)
            now_xmr = item.xmr_minerrevntv
        
    now_btc = locale.format('%.2f', now_btc, grouping=True)
    now_xmr = locale.format('%.2f', now_xmr, grouping=True)
    
    context = {'costxmr': costxmr, 'costbtc': costbtc, 'now_xmr': now_xmr, 'now_btc': now_btc, 'dates': dates}
    return render(request, 'charts/minerrevntv.html', context)

def minerfeesntv(request):
    data = DailyData.objects.order_by('date')
    costbtc = []
    costxmr = []
    dates = []
    now_btc = 0
    now_xmr = 0
    for item in data:
        dates.append(datetime.datetime.strftime(item.date, '%Y-%m-%d'))
        if item.btc_minerfeesntv < 0.1:
            costbtc.append('')
        else:
            costbtc.append(item.btc_minerfeesntv)
            now_btc = item.btc_minerfeesntv
        if item.xmr_minerfeesntv < 0.1:
            costxmr.append('')
        else:
            costxmr.append(item.xmr_minerfeesntv)
            now_xmr = item.xmr_minerfeesntv
        
    now_btc = locale.format('%.2f', now_btc, grouping=True)
    now_xmr = locale.format('%.2f', now_xmr, grouping=True)

    context = {'costxmr': costxmr, 'costbtc': costbtc, 'now_xmr': now_xmr, 'now_btc': now_btc, 'dates': dates}
    return render(request, 'charts/minerfeesntv.html', context)

def minerfees(request):
    data = DailyData.objects.order_by('date')
    costbtc = []
    costxmr = []
    dates = []
    now_btc = 0
    now_xmr = 0
    for item in data:
        dates.append(datetime.datetime.strftime(item.date, '%Y-%m-%d'))
        if item.btc_minerfeesusd < 1:
            costbtc.append('')
        else:
            costbtc.append(item.btc_minerfeesusd)
            now_btc = item.btc_minerfeesusd
        if item.xmr_minerfeesusd < 1:
            costxmr.append('')
        else:
            costxmr.append(item.xmr_minerfeesusd)
            now_xmr = item.xmr_minerfeesusd
        
    now_btc = locale.format('%.2f', now_btc, grouping=True)
    now_xmr = locale.format('%.2f', now_xmr, grouping=True)

    context = {'costxmr': costxmr, 'costbtc': costbtc, 'now_xmr': now_xmr, 'now_btc': now_btc, 'dates': dates}
    return render(request, 'charts/minerfees.html', context)

def dailyemissionntv(request):
    data = DailyData.objects.order_by('date')
    emissionbtc = []
    emissionxmr = []
    dates = []
    now_btc = 0
    now_xmr = 0
    for item in data:
        if item.btc_emissionntv == 0:
            emissionbtc.append('')
        else:
            emissionbtc.append(item.btc_emissionntv)
            now_btc = item.btc_emissionntv
        
        if item.xmr_emissionntv == 0:
            emissionxmr.append('')
        else:
            emissionxmr.append(item.xmr_emissionntv)
            now_xmr = item.xmr_emissionntv
        dates.append(datetime.datetime.strftime(item.date, '%Y-%m-%d'))

    for i in range(500):
        date_aux = item.date + timedelta(i)
        dates.append(datetime.datetime.strftime(date_aux, '%Y-%m-%d'))
        emissionxmr.append('')
        emissionbtc.append('')
        
    now_btc = locale.format('%.0f', now_btc, grouping=True)
    now_xmr = locale.format('%.0f', now_xmr, grouping=True)

    context = {'emissionxmr': emissionxmr, 'emissionbtc': emissionbtc, 'now_xmr': now_xmr, 'now_btc': now_btc, 'dates': dates}
    return render(request, 'charts/dailyemissionntv.html', context)

def commit(request):
    data = DailyData.objects.order_by('date')
    costbtc = []
    costxmr = []
    dates = []
    now_btc = 0
    now_xmr = 0

    for item in data:
        dates.append(datetime.datetime.strftime(item.date, '%Y-%m-%d'))
        if item.btc_commitusd < 0.000001:
            costbtc.append('')
        else:
            costbtc.append(item.btc_commitusd)
            now_btc = item.btc_commitusd
        if item.xmr_commitusd < 0.000001:
            costxmr.append('')
        else:
            costxmr.append(item.xmr_commitusd)
            now_xmr = item.xmr_commitusd
        
    now_btc = locale.format('%.2f', now_btc, grouping=True) + " hashs / dollar"
    now_xmr = locale.format('%.2f', now_xmr, grouping=True) + " hashs / dollar"

    context = {'costxmr': costxmr, 'costbtc': costbtc, 'now_xmr': now_xmr, 'now_btc': now_btc, 'dates': dates}
    return render(request, 'charts/commit.html', context)

def commitntv(request):
    data = DailyData.objects.order_by('date')
    costbtc = []
    costxmr = []
    dates = []
    now_btc = 0
    now_xmr = 0

    for item in data:
        dates.append(datetime.datetime.strftime(item.date, '%Y-%m-%d'))
        if item.btc_commitntv < 0.00001:
            costbtc.append('')
        else:
            costbtc.append(item.btc_commitntv)
            now_btc = item.btc_commitntv
        if item.xmr_commitntv < 0.00001:
            costxmr.append('')
        else:
            costxmr.append(item.xmr_commitntv)
            now_xmr = item.xmr_commitntv
        
    now_btc = locale.format('%.0f', now_btc, grouping=True) + " hashs / btc"
    now_xmr = locale.format('%.0f', now_xmr, grouping=True) + " hashs / xmr"

    context = {'costxmr': costxmr, 'costbtc': costbtc, 'now_xmr': now_xmr, 'now_btc': now_btc, 'dates': dates}
    return render(request, 'charts/commitntv.html', context)

def competitorssats(request):
    dates = []
    xmr = []
    dash = []
    grin = []
    zcash = []
    count = 0
    now_xmr = 0
    now_dash = 0
    now_grin = 0
    now_zcash = 0
    count = 0
    coins_xmr = Coin.objects.order_by('date').filter(name='xmr')
    for coin_xmr in coins_xmr:
        if coin_xmr.pricebtc:
            if count > 32:
                xmr.append(coin_xmr.pricebtc/0.0058)
                now_xmr = coin_xmr.pricebtc/0.0058
            dates.append(count)
            count += 1
        elif count <= 63:
            continue
        else:
            xmr.append('')

    count = 0
    coins_dash = Coin.objects.order_by('date').filter(name='dash')
    for coin_dash in coins_dash:
        count += 1
        if coin_dash.pricebtc and count > 130:
            dash.append(coin_dash.pricebtc/0.02)
            now_dash = coin_dash.pricebtc/0.02
        elif count <= 130:
            continue
        else:
            dash.append('')
        dates.append(count)

    count = 0
    coins_grin = Coin.objects.order_by('date').filter(name='grin')
    for coin_grin in coins_grin:
        count += 1
        if coin_grin.pricebtc and count > 155:
            grin.append(coin_grin.pricebtc/0.000513)
            now_grin = coin_grin.pricebtc/0.000513
        elif count <= 155:
            continue
        else:
            grin.append('')
        dates.append(count)

    count = 0
    coins_zcash = Coin.objects.order_by('date').filter(name='zec')
    for coin_zcash in coins_zcash:
        count += 1
        if coin_zcash.pricebtc and count > 434:
            zcash.append(coin_zcash.pricebtc/0.05)
            now_zcash = coin_zcash.pricebtc/0.05
        elif count <= 434:
            continue
        else:
            zcash.append('')
        dates.append(count)

    now_dash = locale.format('%.3f', now_dash, grouping=True) 
    now_grin = locale.format('%.3f', now_grin, grouping=True)
    now_zcash = locale.format('%.3f', now_zcash, grouping=True)
    now_xmr = locale.format('%.3f', now_xmr, grouping=True)

    context = {'xmr': xmr, 'dash': dash, 'grin': grin, 'zcash': zcash, 'now_xmr': now_xmr, 
    'now_dash': now_dash, 'now_grin': now_grin, 'now_zcash': now_zcash, 'dates': dates}
    return render(request, 'charts/competitorssats.html', context)

def competitorssatslin(request):
    dates = []
    xmr = []
    dash = []
    grin = []
    zcash = []
    count = 0
    now_xmr = 0
    now_dash = 0
    now_grin = 0
    now_zcash = 0
    count = 0
    coins_xmr = Coin.objects.order_by('date').filter(name='xmr')
    for coin_xmr in coins_xmr:
        if coin_xmr.pricebtc:
            if count > 32:
                xmr.append(coin_xmr.pricebtc/0.0058)
                now_xmr = coin_xmr.pricebtc/0.0058
            dates.append(count)
            count += 1
        elif count <= 63:
            continue
        else:
            xmr.append('')

    count = 0
    coins_dash = Coin.objects.order_by('date').filter(name='dash')
    for coin_dash in coins_dash:
        count += 1
        if coin_dash.pricebtc and count > 130:
            dash.append(coin_dash.pricebtc/0.02)
            now_dash = coin_dash.pricebtc/0.02
        elif count <= 130:
            continue
        else:
            dash.append('')
        dates.append(count)

    count = 0
    coins_grin = Coin.objects.order_by('date').filter(name='grin')
    for coin_grin in coins_grin:
        count += 1
        if coin_grin.pricebtc and count > 155:
            grin.append(coin_grin.pricebtc/0.000513)
            now_grin = coin_grin.pricebtc/0.000513
        elif count <= 155:
            continue
        else:
            grin.append('')
        dates.append(count)

    count = 0
    coins_zcash = Coin.objects.order_by('date').filter(name='zec')
    for coin_zcash in coins_zcash:
        count += 1
        if coin_zcash.pricebtc and count > 434:
            zcash.append(coin_zcash.pricebtc/0.05)
            now_zcash = coin_zcash.pricebtc/0.05
        elif count <= 434:
            continue
        else:
            zcash.append('')
        dates.append(count)

    now_dash = locale.format('%.3f', now_dash, grouping=True) 
    now_grin = locale.format('%.3f', now_grin, grouping=True)
    now_zcash = locale.format('%.3f', now_zcash, grouping=True)
    now_xmr = locale.format('%.3f', now_xmr, grouping=True)

    context = {'xmr': xmr, 'dash': dash, 'grin': grin, 'zcash': zcash, 'now_xmr': now_xmr, 
    'now_dash': now_dash, 'now_grin': now_grin, 'now_zcash': now_zcash, 'dates': dates}
    return render(request, 'charts/competitorssatslin.html', context)

def dread_subscribers(request):
    dates = []
    data1 = []
    data2 = []
    now_xmr = 0
    now_btc = 0
    gc = pygsheets.authorize(service_file='service_account_credentials.json')
    sh = gc.open('zcash_bitcoin')
    wks = sh.worksheet_by_title('Sheet6')
    values_mat = wks.get_values(start=(3,1), end=(99,3), returnas='matrix')

    for k in range(0,len(values_mat)):
        if values_mat[k][0] and values_mat[k][2]:
            date = values_mat[k][0]
            value1 = values_mat[k][1]
            value2 = values_mat[k][2]
            if not(value1) or not(value2):
                break
            else:
                dates.append(date)
                data1.append(int(value1))
                data2.append(int(value2))
                now_xmr = int(value2)
                now_btc = int(value1)
        else:
            break
        
    dominance = 100*int(value2)/(int(value2)+int(value1))

    now_btc = locale.format('%.0f', now_btc, grouping=True)
    now_xmr = locale.format('%.0f', now_xmr, grouping=True)
    dominance = locale.format('%.2f', dominance, grouping=True)

    context = {'dates': dates, 'now_btc': now_btc, 'now_xmr': now_xmr, 'data1': data1, "data2": data2, "dominance": dominance}
    return render(request, 'charts/dread_subscribers.html', context)

def coincards(request):
    dates = []
    data1 = []
    data2 = []
    data3 = []
    data4 = []
    now_xmr = 0
    now_btc = 0

    gc = pygsheets.authorize(service_file='service_account_credentials.json')
    sh = gc.open('zcash_bitcoin')
    wks = sh.worksheet_by_title('Sheet2')
    
    values_mat = wks.get_values(start=(3,1), end=(99,5), returnas='matrix')

    for k in range(0,len(values_mat)):
        if values_mat[k][0] and values_mat[k][2]:
            date = values_mat[k][0]
            value1 = values_mat[k][1]
            value2 = values_mat[k][2]
            value3 = values_mat[k][3]
            value4 = values_mat[k][4]
            if not(value1) or not(value2) or not(value3) or not(value4):
                break
            else:
                dates.append(date)
                data1.append(float(value1.replace(',','.')))
                data2.append(float(value2.replace(',','.')))
                data3.append(float(value3.replace(',','.')))
                data4.append(float(value4.replace(',','.')))
                now_btc = float(value1.replace(',','.'))
                now_xmr = float(value2.replace(',','.'))
                now_eth = float(value3.replace(',','.'))
                now_others = float(value4.replace(',','.'))
        else:
            break

    now_btc = locale.format('%.1f', now_btc, grouping=True)
    now_xmr = locale.format('%.1f', now_xmr, grouping=True)
    now_eth = locale.format('%.1f', now_eth, grouping=True)
    now_others = locale.format('%.1f', now_others, grouping=True)

    context = {'dates': dates, 'now_btc': now_btc, 'now_xmr': now_xmr,  'now_eth': now_eth, 'now_others': now_others, 'data1': data1, "data2": data2, "data3": data3, "data4": data4}
    return render(request, 'charts/coincards.html', context)

def merchants(request):
    dates = []
    data1 = []
    data2 = []
    data3 = []
    data4 = []
    data5 = []
    data6 = []
    data7 = []
    now_xmr = 0
    now_btc = 0
    now_eth = 0

    gc = pygsheets.authorize(service_file='service_account_credentials.json')
    sh = gc.open('zcash_bitcoin')
    wks = sh.worksheet_by_title('Sheet3')
    
    values_mat = wks.get_values(start=(3,1), end=(99,8), returnas='matrix')

    for k in range(0,len(values_mat)):
        if values_mat[k][0] and values_mat[k][2]:
            date = values_mat[k][0]
            value1 = values_mat[k][1]
            value2 = values_mat[k][2]
            value3 = values_mat[k][3]
            value4 = values_mat[k][4]
            value5 = values_mat[k][5]
            value6 = values_mat[k][6]
            value7 = values_mat[k][7]
            if not(value1) or not(value2) or not(value3) or not(value4) or not(value5) or not(value6) or not(value7):
                break
            else:
                dates.append(date)
                data1.append(int(value1))
                data2.append(int(value2))
                data3.append(int(value3))
                data4.append(int(value4))
                data5.append(int(value5))
                data6.append(int(value6))
                data7.append(int(value7))
                now_btc = int(value1)
                now_xmr = int(value2)
                now_eth = int(value3)
        else:
            break

    now_btc = locale.format('%.0f', now_btc, grouping=True)
    now_xmr = locale.format('%.0f', now_xmr, grouping=True)
    now_eth = locale.format('%.0f', now_eth, grouping=True)

    context = {'dates': dates, 'now_btc': now_btc, 'now_xmr': now_xmr,  'now_eth': now_eth, 'data1': data1, "data2": data2, "data3": data3, "data4": data4, "data5": data5, "data6": data6, "data7": data7}
    return render(request, 'charts/merchants.html', context)

def merchants_increase(request):
    dates = []
    data1 = []
    data2 = []
    data3 = []
    data4 = []
    data5 = []
    data6 = []
    data7 = []
    now_xmr = 0
    now_btc = 0
    now_eth = 0

    gc = pygsheets.authorize(service_file='service_account_credentials.json')
    sh = gc.open('zcash_bitcoin')
    wks = sh.worksheet_by_title('Sheet4')
    
    values_mat = wks.get_values(start=(3,1), end=(99,8), returnas='matrix')

    for k in range(0,len(values_mat)):
        if values_mat[k][0] and values_mat[k][2]:
            date = values_mat[k][0]
            value1 = values_mat[k][1]
            value2 = values_mat[k][2]
            value3 = values_mat[k][3]
            value4 = values_mat[k][4]
            value5 = values_mat[k][5]
            value6 = values_mat[k][6]
            value7 = values_mat[k][7]
            if not(value1) or not(value2) or not(value3) or not(value4) or not(value5) or not(value6) or not(value7):
                break
            else:
                dates.append(date)
                data1.append(int(value1))
                data2.append(int(value2))
                data3.append(int(value3))
                data4.append(int(value4))
                data5.append(int(value5))
                data6.append(int(value6))
                data7.append(int(value7))
                now_btc = int(value1)
                now_xmr = int(value2)
                now_eth = int(value3)
        else:
            break

    now_btc = locale.format('%.0f', now_btc, grouping=True)
    now_xmr = locale.format('%.0f', now_xmr, grouping=True)
    now_eth = locale.format('%.0f', now_eth, grouping=True)

    context = {'dates': dates, 'now_btc': now_btc, 'now_xmr': now_xmr,  'now_eth': now_eth, 'data1': data1, "data2": data2, "data3": data3, "data4": data4, "data5": data5, "data6": data6, "data7": data7}
    return render(request, 'charts/merchants_increase.html', context)

def merchants_percentage(request):
    dates = []
    data1 = []
    data2 = []
    data3 = []
    data4 = []
    data5 = []
    data6 = []
    data7 = []
    now_xmr = 0
    now_btc = 0
    now_eth = 0
    
    gc = pygsheets.authorize(service_file='service_account_credentials.json')
    sh = gc.open('zcash_bitcoin')
    wks = sh.worksheet_by_title('Sheet5')
    
    values_mat = wks.get_values(start=(3,1), end=(99,8), returnas='matrix')

    for k in range(0,len(values_mat)):
        if values_mat[k][0] and values_mat[k][2]:
            date = values_mat[k][0]
            value1 = values_mat[k][1]
            value2 = values_mat[k][2]
            value3 = values_mat[k][3]
            value4 = values_mat[k][4]
            value5 = values_mat[k][5]
            value6 = values_mat[k][6]
            value7 = values_mat[k][7]
            if not(value1) or not(value2) or not(value3) or not(value4) or not(value5) or not(value6) or not(value7):
                break
            else:
                dates.append(date)
                data1.append(float(value1.replace(',', '.')))
                data2.append(float(value2.replace(',', '.')))
                data3.append(float(value3.replace(',', '.')))
                data4.append(float(value4.replace(',', '.')))
                data5.append(float(value5.replace(',', '.')))
                data6.append(float(value6.replace(',', '.')))
                data7.append(float(value7.replace(',', '.')))
                now_btc = float(value1.replace(',', '.'))
                now_xmr = float(value2.replace(',', '.'))
                now_eth = float(value3.replace(',', '.'))
        else:
            break

    now_btc = locale.format('%.1f', now_btc, grouping=True)
    now_xmr = locale.format('%.1f', now_xmr, grouping=True)
    now_eth = locale.format('%.1f', now_eth, grouping=True)

    context = {'dates': dates, 'now_btc': now_btc, 'now_xmr': now_xmr,  'now_eth': now_eth, 'data1': data1, "data2": data2, "data3": data3, "data4": data4, "data5": data5, "data6": data6, "data7": data7}
    return render(request, 'charts/merchants_percentage.html', context)

def dominance(request):
    symbol = 'xmr'
    values = []
    pricexmr = []
    dates = []
    now_value = 0
    maximum = 0

    coins = Coin.objects.order_by('date').filter(name=symbol)
    for coin in coins:
        try:
            dominance = Dominance.objects.get(date=coin.date)
            if dominance.dominance > 0:
                values.append(dominance.dominance)
                now_value = dominance.dominance
                if now_value > maximum:
                    maximum = now_value            
            else:
                values.append('')
        except:
            values.append('')

        if coin.priceusd > 0.001:
            pricexmr.append(coin.priceusd)
        else:
            pricexmr.append('')

        coin.date = datetime.datetime.strftime(coin.date, '%Y-%m-%d')
        dates.append(coin.date)

    yesterday = date.today() - timedelta(1)
    yesterday = datetime.datetime.strftime(yesterday, '%Y-%m-%d')
    if coin.date == yesterday:
        today = date.today()
        today = datetime.datetime.strftime(today, '%Y-%m-%d')
        try:
            dominance = list(Dominance.objects.order_by('-date'))[0]
            if str(dominance.date) == str(today):
                now_value = dominance.dominance 
                dates.append(today)
                values.append(now_value)
                if now_value > maximum:
                    maximum = now_value  
        except:
            pass

    now_value = locale.format('%.2f', now_value, grouping=True)
    maximum = locale.format('%.2f', maximum, grouping=True)

    context = {'values': values, 'dates': dates, 'maximum': maximum, 'now_value': now_value, 'pricexmr': pricexmr}
    return render(request, 'charts/dominance.html', context)

def rank(request):
    symbol = 'xmr'
    values = []
    pricexmr = []
    dates = []
    now_value = 25
    maximum = 100

    coins = Coin.objects.order_by('date').filter(name=symbol)
    for coin in coins:
        try:
            rank = Rank.objects.get(date=coin.date)
            if rank.rank > 0:
                values.append(rank.rank)
                now_value = rank.rank
                if now_value < maximum:
                    maximum = now_value            
            else:
                values.append(now_value)
        except:
            values.append(now_value)

        if coin.priceusd > 0.001:
            pricexmr.append(coin.priceusd)
        else:
            pricexmr.append('')

        coin.date = datetime.datetime.strftime(coin.date, '%Y-%m-%d')
        dates.append(coin.date)

    yesterday = date.today() - timedelta(1)
    yesterday = datetime.datetime.strftime(yesterday, '%Y-%m-%d')
    if coin.date == yesterday:
        today = date.today()
        today = datetime.datetime.strftime(today, '%Y-%m-%d')
        try:
            rank = list(Rank.objects.order_by('-date'))[0]
            if str(rank.date) == str(today):
                now_value = rank.rank 
                dates.append(today)
                values.append(now_value)
                if now_value < maximum:
                    maximum = now_value  
        except:
            pass

    if now_value == 1:
        now_value = locale.format('%.0f', now_value, grouping=True) + 'st'
    if now_value == 2:
        now_value = locale.format('%.0f', now_value, grouping=True) + 'nd'
    if now_value == 3:
        now_value = locale.format('%.0f', now_value, grouping=True) + 'rd'
    if now_value > 3:
        now_value = locale.format('%.0f', now_value, grouping=True) + 'th'
    if maximum == 1:
        maximum = locale.format('%.0f', maximum, grouping=True) + 'st'
    if maximum == 2:
        maximum = locale.format('%.0f', maximum, grouping=True) + 'nd'
    if maximum == 3:
        maximum = locale.format('%.0f', maximum, grouping=True) + 'rd'
    if maximum > 3:
        maximum = locale.format('%.0f', maximum, grouping=True) + 'th'

    context = {'values': values, 'dates': dates, 'maximum': maximum, 'now_value': now_value, 'pricexmr': pricexmr}
    return render(request, 'charts/rank.html', context)

def p2pool_hashrate(request): 
    hashrate = []
    hashrate_mini = []
    combined = []
    dates = []
    now_hashrate = 0
    now_hashrate_mini = 0
    now_combined = 0

    p2pool_stats = P2Pool.objects.order_by('date').filter(mini=False)
    for p2pool_stat in p2pool_stats:
        now_combined = 0
        if p2pool_stat.hashrate and p2pool_stat.percentage > 0:
            now_hashrate = p2pool_stat.hashrate/1000000    
            now_combined = p2pool_stat.hashrate/1000000
        hashrate.append(now_hashrate)
        
        try:
            p2pool_stat_mini = P2Pool.objects.filter(mini=True).get(date=p2pool_stat.date)
            if p2pool_stat_mini.hashrate and p2pool_stat_mini.percentage > 0:
                now_hashrate_mini = p2pool_stat_mini.hashrate/1000000     
                now_combined += p2pool_stat_mini.hashrate/1000000    
        except:
            pass
        hashrate_mini.append(now_hashrate_mini) 
        combined.append(now_combined) 

        dates.append(datetime.datetime.strftime(p2pool_stat.date, '%Y-%m-%d'))

    context = {'hashrate': hashrate, 'dates': dates, 'hashrate_mini': hashrate_mini, 'combined': combined}
    return render(request, 'charts/p2pool_hashrate.html', context)

def p2pool_dominance(request):
    dominance = []
    dominance_mini = []
    dates = []
    combined = []
    now_dominance = 0
    now_dominance_mini = 0

    p2pool_stats = P2Pool.objects.order_by('date').filter(mini=False)
    for p2pool_stat in p2pool_stats:
        now_combined = 0
        if p2pool_stat.hashrate and p2pool_stat.percentage > 0:
            now_dominance = p2pool_stat.percentage       
            now_combined += p2pool_stat.percentage      
        dominance.append(now_dominance)
        
        try:
            p2pool_stat_mini = P2Pool.objects.filter(mini=True).get(date=p2pool_stat.date)
            if p2pool_stat_mini.hashrate and p2pool_stat_mini.percentage > 0: 
                now_dominance_mini = p2pool_stat_mini.percentage    
                now_combined += p2pool_stat_mini.percentage      
        except:
            pass
        dominance_mini.append(now_dominance_mini) 
        combined.append(now_combined) 

        dates.append(datetime.datetime.strftime(p2pool_stat.date, '%Y-%m-%d'))

    context = {'dominance': dominance, 'dates': dates, 'dominance_mini': dominance_mini,'combined': combined}
    return render(request, 'charts/p2pool_dominance.html', context)

def p2pool_totalblocks(request):
    dates = []
    totalblocks = []
    totalblocks_mini = []
    combined = []
    now_totalblocks = 0
    now_totalblocks_mini = 0
    now_combined = 0

    p2pool_stats = P2Pool.objects.order_by('date').filter(mini=False)
    for p2pool_stat in p2pool_stats:
        now_combined = 0
        if p2pool_stat.totalblocksfound > now_totalblocks:
            now_totalblocks = p2pool_stat.totalblocksfound  
            now_combined += p2pool_stat.totalblocksfound          
        totalblocks.append(now_totalblocks)

        p2pool_stats_mini = P2Pool.objects.filter(mini=True).filter(date=p2pool_stat.date)
        for p2pool_stat_mini in p2pool_stats_mini:
            if p2pool_stat_mini.totalblocksfound >= now_totalblocks_mini: 
                now_totalblocks_mini = p2pool_stat_mini.totalblocksfound    
                now_combined += p2pool_stat_mini.totalblocksfound    
                break
                

        totalblocks_mini.append(now_totalblocks_mini) 
        combined.append(now_combined) 

        dates.append(datetime.datetime.strftime(p2pool_stat.date, '%Y-%m-%d'))

    context = {'totalblocks': totalblocks, 'totalblocks_mini': totalblocks_mini, 'dates': dates, 'combined': combined}
    return render(request, 'charts/p2pool_totalblocks.html', context)

def p2pool_totalhashes(request):
    dates = []
    totalblocks = []
    totalblocks_mini = []
    combined = []
    now_totalblocks = 0
    now_totalblocks_mini = 0
    now_combined = 0

    p2pool_stats = P2Pool.objects.order_by('date').filter(mini=False)
    for p2pool_stat in p2pool_stats:
        now_combined = 0
        if p2pool_stat.totalhashes > now_totalblocks:
            now_totalblocks = p2pool_stat.totalhashes/1000000000000
            now_combined += p2pool_stat.totalhashes/1000000000000
        totalblocks.append(now_totalblocks)

        try:
            p2pool_stat_mini = P2Pool.objects.filter(mini=True).get(date=p2pool_stat.date)
            if p2pool_stat_mini.totalhashes >= now_totalblocks_mini: 
                now_totalblocks_mini = p2pool_stat_mini.totalhashes/1000000000000
                now_combined += p2pool_stat_mini.totalhashes/1000000000000
        except:
            pass
        totalblocks_mini.append(now_totalblocks_mini) 
        combined.append(now_combined) 

        dates.append(datetime.datetime.strftime(p2pool_stat.date, '%Y-%m-%d'))

    context = {'totalblocks': totalblocks, 'totalblocks_mini': totalblocks_mini, 'dates': dates, 'combined': combined}
    return render(request, 'charts/p2pool_totalhashes.html', context)

def p2pool_miners(request):
    miners = []
    miners_mini = []
    dates = []
    combined = []
    now_miners = 0
    now_miners_mini = 0

    p2pool_stats = P2Pool.objects.order_by('date').filter(mini=False)
    for p2pool_stat in p2pool_stats:
        now_combined = 0
        if p2pool_stat.miners > 0:
            now_miners = p2pool_stat.miners       
            now_combined += p2pool_stat.miners      
        miners.append(now_miners)
        
        try:
            p2pool_stat_mini = P2Pool.objects.filter(mini=True).get(date=p2pool_stat.date)
            if p2pool_stat_mini.miners > 0: 
                now_miners_mini = p2pool_stat_mini.miners    
                now_combined += p2pool_stat_mini.miners    
        except:
            pass
        miners_mini.append(now_miners_mini) 
        combined.append(now_combined) 

        dates.append(datetime.datetime.strftime(p2pool_stat.date, '%Y-%m-%d'))

    context = {'miners': miners, 'dates': dates, 'miners_mini': miners_mini, 'combined': combined}
    return render(request, 'charts/p2pool_miners.html', context)

def miningprofitability(request): 
    dates = []
    value = []
    now_value = 0

    coins = Coin.objects.order_by('date').filter(name='xmr')
    for coin in coins:
        if coin.hashrate > 0 and coin.priceusd > 0 and coin.revenue > 0:
            if 1000*coin.priceusd*coin.revenue/coin.hashrate < 5000:
                now_value = 1000*coin.priceusd*coin.revenue/coin.hashrate     
                dates.append(datetime.datetime.strftime(coin.date, '%Y-%m-%d'))     
                value.append(now_value)

    context = {'value': value, 'dates': dates}
    return render(request, 'charts/miningprofitability.html', context)

def tail_emission(request):
    inflationxmr = []
    finflationxmr = []
    dates = []
    now_xmr = 999999
    
    coins = Coin.objects.order_by('date').filter(name='xmr')
    for coin in coins:
        now_xmr = float(coin.inflation)

    supply = int(coin.supply)*10**12
    for i in range(210000):
        supply = int(supply)
        reward = (2**64 -1 - supply) >> 19
        if reward < 0.6*(10**12):
            reward = 0.6*(10**12)
        supply += int(720*reward)
        finflationxmr.append(100*reward*720*365/supply)
        date_aux = coin.date + timedelta(i)
        dates.append(datetime.datetime.strftime(date_aux, '%Y-%m-%d'))
        
    now_xmr = locale.format('%.2f', now_xmr, grouping=True) + '%'

    context = {'inflationxmr': inflationxmr, 'finflationxmr': finflationxmr, 'now_xmr': now_xmr, 'dates': dates}
    return render(request, 'charts/tail_emission.html', context)

def privacymarketcap(request):
    data = DailyData.objects.order_by('date')

    dates = []
    marketcaps = []
    xmr_marketcaps = []
    now_marketcap = 0
    now_dominance = 0
    top_marketcap = 0
    top_dominance = 0
    
    for item in data:
        marketcap = 0
        dominance = 0
        dates.append(datetime.datetime.strftime(item.date, '%Y-%m-%d'))
        if item.zcash_marketcap > 1000000:
            marketcap += item.zcash_marketcap

        if item.dash_marketcap > 1000000:
            marketcap += item.dash_marketcap

        if item.grin_marketcap > 1000000:
            marketcap += item.grin_marketcap

        if item.xmr_marketcap > 1000000:
            marketcap += item.xmr_marketcap
            try:
                xmr_dominance = Dominance.objects.get(date=item.date)
                dominance = marketcap*xmr_dominance.dominance/item.xmr_marketcap
            except:
                dominance = now_dominance

            xmr_marketcaps.append(item.xmr_marketcap)
        else:
            xmr_marketcaps.append('')

        now_marketcap = marketcap
        now_dominance = dominance

        if now_marketcap > top_marketcap:
            top_marketcap = now_marketcap
        if now_dominance > top_dominance:
            top_dominance = now_dominance

        if marketcap > 3000000:
            marketcaps.append(marketcap)
        else:
            marketcaps.append('')

    now_marketcap = '$'+locale.format('%.0f', now_marketcap, grouping=True) 
    now_dominance = locale.format('%.2f', now_dominance, grouping=True) + '%'
    top_marketcap = '$'+locale.format('%.0f', top_marketcap, grouping=True) 
    top_dominance = locale.format('%.2f', top_dominance, grouping=True) + '%'

    context = {'marketcaps': marketcaps, 'now_marketcap': now_marketcap, 'now_dominance': now_dominance, 'top_marketcap': top_marketcap, 'top_dominance': top_dominance, 'dates': dates, 'xmr_marketcaps': xmr_marketcaps}
    return render(request, 'charts/privacymarketcap.html', context)

def privacydominance(request):
    data = DailyData.objects.order_by('date')
    dates = []
    marketcaps = []
    dominances = []
    now_marketcap = 0
    now_dominance = 0
    top_marketcap = 0
    top_dominance = 0
    
    for item in data:
        marketcap = 0
        dominance = 0
        dates.append(datetime.datetime.strftime(item.date, '%Y-%m-%d'))
        if item.zcash_marketcap > 100000:
            marketcap += item.zcash_marketcap

        if item.dash_marketcap > 100000:
            marketcap += item.dash_marketcap

        if item.grin_marketcap > 100000:
            marketcap += item.grin_marketcap

        if item.xmr_marketcap > 100000:
            marketcap += item.xmr_marketcap
            try:
                xmr_dominance = Dominance.objects.get(date=item.date)
                dominance = marketcap*xmr_dominance.dominance/item.xmr_marketcap
            except:
                dominance = now_dominance

        now_marketcap = marketcap
        now_dominance = dominance

        if now_marketcap > top_marketcap:
            top_marketcap = now_marketcap
        if now_dominance > top_dominance:
            top_dominance = now_dominance

        if marketcap > 300000:
            marketcaps.append(marketcap)
        else:
            marketcaps.append('')

        if dominance > 0:
            dominances.append(dominance)
        else:
            dominances.append('')

    now_marketcap = '$'+locale.format('%.0f', now_marketcap, grouping=True) 
    now_dominance = locale.format('%.2f', now_dominance, grouping=True) + '%'
    top_marketcap = '$'+locale.format('%.0f', top_marketcap, grouping=True) 
    top_dominance = locale.format('%.2f', top_dominance, grouping=True) + '%'

    context = {'marketcaps': marketcaps, 'dominances':dominances, 'now_marketcap': now_marketcap, 'now_dominance': now_dominance, 'top_marketcap': top_marketcap, 'top_dominance': top_dominance, 'dates': dates}
    return render(request, 'charts/privacydominance.html', context)

def monerodominance(request):
    data = DailyData.objects.order_by('date')
    dates = []
    marketcaps = []
    xmr_dominance = []
    now_marketcap = 0
    now_dominance = 0
    top_marketcap = 0
    top_dominance = 0
    zec_cap = 0
    dash_cap = 0
    grin_cap = 0
    
    for item in data:
        marketcap = 0
        dominance = 0
        dates.append(datetime.datetime.strftime(item.date, '%Y-%m-%d'))
        if item.zcash_marketcap > 1000000:
            zec_cap = item.zcash_marketcap
            marketcap += zec_cap
        else:
            marketcap += zec_cap

        if item.dash_marketcap > 1000000:
            dash_cap = item.dash_marketcap
            marketcap += dash_cap
        else:
            marketcap += dash_cap

        if item.grin_marketcap > 1000000:
            grin_cap = item.grin_marketcap
            marketcap += grin_cap
        else:
            marketcap += grin_cap

        if item.xmr_marketcap > 1000000:
            marketcap += item.xmr_marketcap
            dominance = 100*item.xmr_marketcap/marketcap

        now_marketcap = marketcap
        now_dominance = dominance

        if now_marketcap > top_marketcap:
            top_marketcap = now_marketcap
        if now_dominance > top_dominance:
            top_dominance = now_dominance

        if marketcap > 3000000:
            marketcaps.append(marketcap)
        else:
            marketcaps.append('')

        if dominance > 0:
            xmr_dominance.append(dominance)
        else:
            xmr_dominance.append('')

    now_marketcap = '$'+locale.format('%.0f', now_marketcap, grouping=True) 
    now_dominance = locale.format('%.2f', now_dominance, grouping=True) + '%'
    top_marketcap = '$'+locale.format('%.0f', top_marketcap, grouping=True) 
    top_dominance = locale.format('%.2f', top_dominance, grouping=True) + '%'

    context = {'marketcaps': marketcaps, 'xmr_dominance': xmr_dominance, 'now_marketcap': now_marketcap, 'now_dominance': now_dominance, 'top_marketcap': top_marketcap, 'top_dominance': top_dominance, 'dates': dates}
    return render(request, 'charts/monerodominance.html', context)

def withdrawals(request):
    states = []
    dates = []

    withdrawals = Withdrawal.objects.order_by('date')
    for withdrawal in withdrawals:
        dates.append(datetime.datetime.strftime(withdrawal.date, '%Y-%m-%d %H'))
        if withdrawal.state:
            states.append(1)
        else:
            states.append(0)
    
    context = {'states': states, 'dates': dates}
    return render(request, 'charts/withdrawals.html', context)