def get_price_history(request):
if request.POST or request.GET:
f = bs.Fetcher()
if 'currency' in request.POST:
currency = request.POST['currency']
else:
currency = 'USD'
acc = Account.objects.get(user=request.user)
prices = {}
prices['BTC'] = f.getPrePrice('BTC')['BTC']
prices['ETH'] = f.getPrePrice('ETH')['ETH']
prices['LTC'] = f.getPrePrice('LTC')['LTC']
prices['BAL'] = []
for i in range(len(prices['BTC'])):
b_p = float(prices['BTC'][i])
l_p = float(prices['LTC'][i])
e_p = float(prices['ETH'][i])
bal = acc.btc * b_p + acc.ltc * l_p + acc.eth * e_p + acc.usd
prices['BAL'] += [bal]
response_text = json.dumps(prices)
return HttpResponse(response_text, content_type="application/json")
def update_price_all(request):
if request.POST:
f = bs.Fetcher()
if 'currency' in request.POST:
currency = request.POST['currency']
else:
currency = 'USD'
prices = {}
prices['BTC'] = f.getPrice('BTC', currency, 'spot')['spot']
prices['ETH'] = f.getPrice('ETH', currency, 'spot')['spot']
prices['LTC'] = f.getPrice('LTC', currency, 'spot')['spot']
price = Prices.objects.filter(date = date.today())
if len(price) == 0:
btcprice = Prices()
btcprice.type = "BTC"
btcprice.price = prices['BTC']
btcprice.save()
ethprice = Prices()
ethprice.type = "ETH"
ethprice.price = prices['ETH']
ethprice.save()
ltcprice = Prices()
ltcprice.type = "LTC"
ltcprice.price = prices['LTC']
ltcprice.save()
response_text = json.dumps(prices)
return HttpResponse(response_text, content_type="application/json")
def get_data(cp, currency, rate):
f = bs.Fetcher()
if rate == 'hourly':
prices = f.getPrePrice(cp, currency, 'hour')[cp]
prices = list(reversed(prices))
dates = np.arange(len(prices))
if rate == 'daily':
prices = f.getPrePrice(cp, currency, 'day')[cp]
prices = list(reversed(prices))
dates = np.arange(len(prices))
return dates, prices
def view_leaderboard(request):
account, create = Account.objects.get_or_create(user=request.user)
f = bs.Fetcher()
context={}
prices = {}
prices['BTC'] = f.getPrice('BTC', 'USD', 'spot')['spot']
prices['ETH'] = f.getPrice('ETH', 'USD', 'spot')['spot']
prices['LTC'] = f.getPrice('LTC', 'USD', 'spot')['spot']
context['account']=account
for account in Account.objects.all():
account.total_balance =(account.usd+account.btc* prices['BTC']+
account.eth* prices['ETH']+
account.ltc*prices['LTC'])
account.save()
now = datetime.datetime.now()
user_accounts_sorted = Account.objects.order_by('-total_balance')
context['user_accounts']= user_accounts_sorted
context['now']=now
return render(request, 'mocktrade/leaderboard.html', context)
def get_data(cp, currency, rate):
f = bs.Fetcher()
if rate == 'hourly':
prices = f.getPrePrice(cp, currency, 'hour')[cp]
prices = list(reversed(prices))
if rate == 'daily':
prices = f.getPrePrice(cp, currency, 'day')[cp]
prices = list(reversed(prices))
dates = []
for i in range(len(prices)):
dates.append(i)
return dates, prices
# predict the trend in next 6 time units
# def predict_price2( cp, currency, rate = 'hourly'):
# dates, prices = get_data(cp, currency, rate)
# x = range(len(dates), len(dates) + 6)
#
# prediction = {}
# dates = np.reshape(dates, (len(dates), 1)) # converting to matrix of n X 1
# prices = np.reshape(prices, (len(prices), 1))
# x = np.reshape(x, (len(x), 1))
#
# ridge_mod = linear_model.Ridge (alpha = 1)
# ridge_mod.fit(dates, prices)
# linear_mod = linear_model.LinearRegression() # defining the linear regression model
# linear_mod.fit(dates, prices) # fitting the data points in the model
#
# prediction = list(linear_mod.predict(x).flatten())
# prediction = prediction + list(ridge_mod.predict(x).flatten())
# return prediction
#dates, prices = get_data('LTC', 'USD')
#predictions = predict_price('BTC', 'USD', 'daily' )
# print predictions
import bitcoin_scraper as bs
import time
if __name__ == '__main__':
# api = bs.Fetcher()
# print time.time()
# print api.getPrice('BTC', 'USD', 'spot')['spot']
# print api.generateHistURL('BTC', '10' )
# api.getPrePrice('BTC')
f = bs.Fetcher()
prices = {}
prices['BTC'] = f.getPrePrice('BTC')['BTC']
prices['ETH'] = f.getPrePrice('ETH')['ETH']
prices['LTC'] = f.getPrePrice('LTC')['LTC']
prices['BAL'] = []
for i in range(len(prices['BTC'])):
b_p = float(prices['BTC'][i])
l_p = float(prices['LTC'][i])
e_p = float(prices['ETH'][i])
bal = 0.12 * b_p + 0.231 * l_p + 23 * e_p
prices['BAL'] += [bal]
print prices['BAL']
print f.getPrePrice('BTC', 'USD', 'hour')