def get_coin_price(coin_code, currency_code):
"""
Returning the current btc/eth price for specified currency
"""
data = cryptocompare.get_price(coin_code, currency_code)
return data[coin_code][currency_code]
#!/usr/bin/env python3.5
#-*- coding: utf-8 -*-
import cryptocompare
while True:
print("Que voulez-vous savoir ? \n")
print(" \n")
print("1) Valeur d'une crypto-monnaie \n")
print("2) Liste des crypto-monnaies \n")
print("3) Quitter \n")
user_question = input('>>> ')
if (user_question.startswith('1')):
print('Quelle crypto-monnaie en Euro, voulez-vous? \n')
user_value = input('>>> ')
print(cryptocompare.get_price(user_value, curr='EUR'))
elif (user_question.startswith('2')):
for list_crypto in cryptocompare.get_coin_list(format=True):
print(list_crypto)
elif (user_question.startswith('3')):
print("A bientôt \n")
exit()
else:
print("Répondez par '1', '2' ou '3' \n")
def get_bitcoin_price(self):
price = cryptocompare.get_price('BTC', curr='USD')['BTC']['USD']
formated = str(price)[0:2] + " " + str(price)[2::] + "$"
returns = self.calculate_return(self.bitcoin_init, price)
return [formated, returns]
#!/usr/bin/env python3.5
#-*- coding: utf-8 -*-
import cryptocompare
crypto = ''
print(cryptocompare.get_coin_list(format=False))
while crypto != 'exit':
crypto = input(
'De quelle cryptomonnaie souhaitez-vous connaitre le prix ? ')
print(cryptocompare.get_price(crypto))
#pip install cryptocompare
import cryptocompare
btc = cryptocompare.get_price('BTC')
print(btc)
def get_dogecoin_price(self):
price = cryptocompare.get_price("DOGE", curr='USD')['DOGE']['USD']
formated = str(price) + "$"
returns = self.calculate_return(self.dogecoin_init, price)
return [formated, returns]
def test_get_price_defaults(self):
res = cryptocompare.get_price('BTC')
self.assertIsNotNone(res[coins[0]])
self.assertTrue(
float(res[coins[0]][cryptocompare.DEFAULT_CURRENCY]) > 0)
def Handle_CryptoCurrency(scd, RD_id, gapSeed):
if gapSeed == 'N/A':
gapSeed = '0'
gapSeed = int(gapSeed)
RD_row = RD_Related_To_Shares.objects.get(id=RD_id)
currentPrice = cryptocompare.get_price(scd, 'USD') #('BTC')
yesterday = date.today() - timedelta(1)
#yesterday = datetime.strftime(datetime.now() - timedelta(1), '%Y:%m:%d')
yesterday = yesterday.strftime('%Y:%m:%d')
yestList = yesterday.split(':')
y = int(yestList[0])
m = int(yestList[1])
d = int(yestList[2])
yesterdayPrice = cryptocompare.get_historical_price(scd,
'USD',
timestamp=datetime(
y, m, d))
currentPrice = currentPrice[scd]['USD']
yesterdayPrice = yesterdayPrice[scd]['USD']
hPrice = currentPrice - yesterdayPrice
excgR = MarketStatus.exchRate()
hPrice = hPrice * excgR
currentPrice = currentPrice * excgR
#initQuant = currentPrice
#QuantMado = "61;62;63;64;65;66;67;68;69;"
#QuantMaSu = "71;72;73;74;75;76;77;78;79;"
q = []
if gapSeed < 2:
gapSeed = 2
for i in range(0, 18):
rn = random.randrange(0, gapSeed)
rn = rn / 15000000
q.append("{0:.4f}".format(rn))
currentPrice = int(currentPrice)
length = len(str(currentPrice))
divider = length - 5
if divider < 0:
divider = 0
fixer = pow(10, -divider)
currentPrice = int(fixer * currentPrice)
temp = currentPrice / fixer
currentPrice = temp
dict = {
'scd': scd,
'10': currentPrice,
'15': 1,
'11': hPrice,
'61': q[0],
'62': q[1],
'63': q[2],
'64': q[3],
'65': q[4],
'66': q[5],
'67': q[6],
'68': q[7],
'69': q[8],
'71': q[9],
'72': q[10],
'73': q[11],
'74': q[12],
'75': q[13],
'76': q[14],
'77': q[15],
'78': q[16],
'79': q[17]
}
RD_row.RDDictString = json.dumps(dict)
RD_row.Should_be_updated_now = False
RD_row.save()
return
# -*- coding: utf-8 -*-
"""
Created on Tue May 14 09:45:38 2019
@author: Jeffrey
"""
""" Be sure to download this papckage first.... pip install cryptocompare """
import cryptocompare
#Gathers all the prices and prints themin thier top 20 rank from 5/16/19
print("Below are the top 20 coins according to Coinbase...")
BTCprice = cryptocompare.get_price('BTC', curr='USD', full=False)
print('1: ', BTCprice)
ETHprice = cryptocompare.get_price('ETH', curr='USD', full=False)
print('2: ', ETHprice)
XRPprice = cryptocompare.get_price('XRP', curr='USD', full=False)
print('3: ', XRPprice)
BCHprice = cryptocompare.get_price('BCH', curr='USD', full=False)
print('4: ', BCHprice)
LTCprice = cryptocompare.get_price('LTC', curr='USD', full=False)
print(cryptocompare.get_historical_price_day(coins[0]))
print(cryptocompare.get_historical_price_day(coins[0], curr='USD'))
print(cryptocompare.get_historical_price_day(coins[1], curr=['EUR','USD','GBP'], quiet=False))
print(cryptocompare.get_historical_price_day(coins[1], curr=['EUR','USD','GBP'], quiet=True))
print(cryptocompare.get_historical_price_day(coins[0], curr='USD', limit=1, quiet=False))
print(cryptocompare.get_historical_price_day(coins[0], curr='USD', limit=1, exchange='Coinbase', quiet=False))
print(cryptocompare.get_historical_price_day(coins[0], curr='USD', limit=1, exchange='Kraken', quiet=False))
print('================== COIN LIST =====================')
response, err = cryptocompare.get_coin_list()
print(response)
response, err = cryptocompare.get_coin_list(True)
print(response)
print('===================== PRICE ======================')
print(cryptocompare.get_price(coins[0]))
print(cryptocompare.get_price(coins[1], curr='USD'))
print(cryptocompare.get_price(coins[2], curr=['EUR','USD','GBP']))
print(cryptocompare.get_price(coins[2], full=True))
print(cryptocompare.get_price(coins[0], curr='USD', full=True))
print(cryptocompare.get_price(coins[1], curr=['EUR','USD','GBP'], full=True))
print('==================================================')
print(cryptocompare.get_price(coins))
print(cryptocompare.get_price(coins, curr='USD'))
print(cryptocompare.get_price(coins, curr=['EUR','USD','GBP']))
print('==================== HIST PRICE ==================')
print(cryptocompare.get_historical_price(coins[0]))
print(cryptocompare.get_historical_price(coins[0], curr='USD'))
print(cryptocompare.get_historical_price(coins[1], curr=['EUR','USD','GBP']))
import cryptocompare
btc_inr = cryptocompare.get_price("BTC", currency="INR")
print(btc_inr)
doge_inr = cryptocompare.get_price("DOGE", currency="INR")
print(doge_inr)
ethereum_inr = cryptocompare.get_price("ETH", currency="INR")
print(ethereum_inr)
litecoin_inr = cryptocompare.get_price("LTC", currency="INR")
print(litecoin_inr)
Stellar_inr = cryptocompare.get_price("XLM", currency="INR")
print(Stellar_inr)
while True:
print(" ** Which one Do you want?")
print("\n ** 1.My IP **")
print(" ** 2.BTC Price **")
print(" ** 3.Whois **")
print(" ** 4.MailBomber **")
print(" ** 5.DDoser **")
print(" ** 0.Exit **")
men = int(input(" ))=>> "))
if men == 1:
s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
s.connect(("8.8.8.8", 80))
print(" ** Your ip :", s.getsockname()[0])
s.close()
elif men == 2:
btc = cryptocompare.get_price('BTC', currency='USD')["BTC"]["USD"]
print(" ** Price =", btc, "$")
elif men == 3:
print(" ** Enter the website :")
site = input(" ))=>> ")
w = whois.whois(site)
print(w)
elif men == 4:
server = input(' ** MailServer 1.Gmail/2.Yahoo: ')
user = input(' ** Email: ')
passwd = getpass.getpass(' ** Password: '******'\n ** To: ')
body = input(' ** Message: ')
total = int(input(' ** Number of send: '))
if server == 'gmail' or '1' or 'Gmail':
smtp_server = 'smtp.gmail.com'
#!/usr/bin/env python3.5
#-*- coding: utf-8 -*-
import cryptocompare
while True:
curr = ['USD']
inp = input(
"\nBonjour veuillez choisir votre fonctionalitée \nEntrez : \n 1: Liste des cryptomonnaies\n 2: Prix de la cryptomonnaie désirée\n 3: Quitter le programme\n> "
)
if inp == '1':
crypto_list = cryptocompare.get_coin_list(format=True)
for liste in crypto_list:
print(liste)
elif inp == '2':
mon = input("Entrez le nom de votre cryptomonnaie:\n")
print(cryptocompare.get_price(mon, curr))
elif inp == '3':
exit()
else:
print("Une Erreur est survenue veuillez réessayer")
def get_price(crypto):
if crypto.upper() in get_crypto_list():
return cryptocompare.get_price(
'BTC', curr='USD',
full=True)['RAW'][crypto.upper()]['USD']['PRICE']
return ""
def test_get_price_against_currency(self):
res = cryptocompare.get_price(coins[0], currencies=currencies[0])
self.assertIsNotNone(res[coins[0]])
self.assertIsNotNone(res[coins[0]][currencies[0]])
self.assertTrue(float(res[coins[0]][currencies[0]]) > 0)
def getvalue(coin):
getvalue = cryptocompare.get_price(coin, curr='USD', full=False)
getvalue = getvalue[coin].get('USD')
print(getvalue)
return getvalue
def crypto(update, context):
new_message.new_message(update)
with open('config.yaml', 'r') as f:
config = yaml.full_load(f)
apikey = config['CRYPTO']['API_KEY']
if enable_check.enable_check(__name__):
return
def changepct(time):
if len(context.args) >= 2:
currency1 = context.args[1]
else:
currency1 = "BTC"
if len(context.args) == 3:
currency2 = context.args[2]
else:
currency2 = "USD"
url = f"https://pro-api.coinmarketcap.com/v1/cryptocurrency/quotes/latest?CMC_PRO_API_KEY={apikey}&symbol={currency1.upper()}&convert={currency2.upper()}"
r = requests.get(url)
msg = r.json()['data'][currency1.upper()]['quote'][
currency2.upper()][f'percent_change_{time[:-1]}']
if msg > 0.01 or msg < -0.01:
msg = round(msg, 2)
if msg > 0.0:
msg = f"+{msg}"
return msg
# crypto % change for past 24h, 7d, 30d
if len(context.args) >= 1 and context.args[0] in ['24h%', '7d%', '30d%']:
msg = changepct(context.args[0])
context.bot.send_message(chat_id=update.message.chat_id,
text=f'{msg}%')
# /crypto 24h btc
elif len(context.args) >= 1 and context.args[0] == "24h":
if len(context.args) >= 2:
currency1 = context.args[1]
else:
currency1 = "BTC"
if len(context.args) == 3:
currency2 = context.args[2]
else:
currency2 = "USD"
try:
symbol = currency.symbol(currency2, native=False)
except:
symbol = ""
avg = cryptocompare.get_avg(currency1, currency=currency2)
msg = avg['CHANGE24HOUR']
if msg > 0.01 or msg < -0.01:
msg = round(msg, 2)
if msg > 0.0:
msg = f"+{msg}"
context.bot.send_message(chat_id=update.message.chat_id,
text=f"{msg}{symbol}")
# /crypto btc eur
elif len(context.args) >= 1:
currency1 = context.args[0].upper()
if len(context.args) == 2:
currency2 = context.args[1].upper()
else:
currency2 = "USD"
try:
symbol = currency.symbol(currency2, native=False)
except:
symbol = ''
price = cryptocompare.get_price(currency1,
currency=currency2,
full=False)
if price:
context.bot.send_message(
chat_id=update.message.chat_id,
text=f"{symbol}{price[currency1][currency2]}")
else:
context.bot.send_message(chat_id=update.message.chat_id,
text=f"Sorry, can\'t find {currency1}")
return
elif not context.args or len(context.args) > 3:
context.bot.send_message(chat_id=update.message.chat_id,
parse_mode='markdown',
text='Usage: `/crypto <btc,eth,xmr,etc>`')
return
def treat_real(coin, v):
v = v.replace(coin, u'')
v = v.replace(u'$', u'')
v = v.replace(u',', u'')
return v
if __name__ == '__main__':
assert len(sys.argv) == 2
db = sqlite3.connect(sys.argv[1])
cursor = db.cursor()
cycle = 0
while True:
query = get_price(COIN_LIST, full=True)
if query is not None:
timestamp = time.time()
tables = query['RAW']
for coin, d in tables.items():
cmd = "INSERT INTO %s VALUES(" % coin
cmd += "%s," % str(timestamp)
for key in DB_TABLE_ORDER[1:]:
v = d[u'USD'][key]
if isinstance(v, str):
cmd += "'%s'" % str(v)
else:
cmd += "%s" % str(v)
if key != DB_TABLE_ORDER[-1]:
cmd += ",\n"
cmd += ");"
async def bat(ctx):
price = cryptocompare.get_price('BAT', 'EUR')
await ctx.send(price['BAT']['EUR'], "€")
def get_historical(self,
coin,
time_step,
nod,
end=datetime.now(),
columns=['close'],
currency="USD",
add_this_moment_price=False):
"""
:param: coin: It should be symbol. e.x 'BTC'
:param: time_step: It can be 'day' for price history in last days, 'hour' for ... and 'min' for ...
:param: nod: Number of dates. Actually number of rows in returned dataframe(Except when add_this_moment_price is True)
:param: end: Default is today date. But can pass a date to recive data from nod days before end to end day
:param: columns: A list of columns from ['high', 'low', 'open', 'volumefrom', 'volumeto', 'close'].
And if it is 'OHLC', columns will be consideres as ['open', 'high', 'low', 'close'].
:param: add_this_moment_price: Only works when columns=['close']. Adds this moment's price to dataframe.
:param: currency: currency unit
:returns: A dataframe with index of time laps and columns passed
"""
if columns == "OHLC": #Famous open, high, low, close dataframe for candle bars
columns = ['open', 'high', 'low', 'close']
if columns == "OHLCV":
columns = ['open', 'high', 'low', 'close', 'volumeto']
if time_step == "day":
data = cc.get_historical_price_day(coin,
currency,
limit=nod,
toTs=end)
elif time_step == "hour":
data = cc.get_historical_price_hour(coin,
currency,
limit=nod,
toTs=end)
elif time_step == "min":
data = cc.get_historical_price_minute(coin,
currency,
limit=nod,
toTs=end)
else:
raise ValueError(
"Only 'day', 'hour' and 'min' are valid as time_stamp")
df = pd.DataFrame.from_dict(
data) #converting json like recived data to a pandas df
index = [datetime.fromtimestamp(tstamp) for tstamp in df.time]
dates = [t + timedelta(seconds=510 * 60 - 21)
for t in index] # Converting timelaps to Tehran time zone
df.index = dates
if add_this_moment_price:
if columns == ['close'] and time_step == "min":
#Adding this moment's price to tail
price = cc.get_price(coin, currency)[coin][currency]
t = datetime.now()
now_df = pd.DataFrame({"close": price}, index=[t])
df = df.append(now_df)
else:
raise ValueError(
"add_this_moment_price will only work when dataframe is a price table and time_step is 'min'"
)
return df[columns]
def get_price(from_coins: [str, list], to_coins: [str, list]):
compare = cryptocompare.get_price(from_coins, to_coins)
return compare
def get_litecoin_price(self):
price = cryptocompare.get_price("LTC", curr='USD')['LTC']['USD']
formated = str(price) + "$"
returns = self.calculate_return(self.litecoin_init, price)
return [formated, returns]
def startTrading():
# adjustable variables
ticker = "BTC"
coinsToBuy = 5
buyingFrequency = 3 # in seconds
totalRuntime = 3600 # in seconds
startingCashReserve = 10000000
# tracking variables
cash = startingCashReserve
coinsOwned = 0
timeSpent = 0
previousPrice = cryptocompare.get_price(ticker, curr="USD",
full=False)['BTC']['USD']
valueOfInvestment = 0
costOfInvestment = 0
unrealizedGains = 0
profit = 0
openingPrice = cryptocompare.get_price(ticker, curr="USD",
full=False)['BTC']['USD']
closingPrice = 0
startTime = datetime.now().strftime("%m/%d/%Y %H:%M:%S")
# graphing data
prices = []
profitOrLoss = []
percentPriceChange = []
while (timeSpent < totalRuntime):
time.sleep(buyingFrequency)
currentPrice = cryptocompare.get_price(ticker, curr="USD",
full=False)['BTC']['USD']
# if share price increases or remains the same, buy more
# only calculated profits if buying, otherwise record as unrealized gains
if (currentPrice >= previousPrice):
cash -= coinsToBuy * currentPrice
coinsOwned += coinsToBuy
costOfInvestment += coinsToBuy * currentPrice
valueOfInvestment = coinsOwned * currentPrice
unrealizedGains += valueOfInvestment - costOfInvestment
# profit += valueOfInvestment - costOfInvestment
timeSpent += buyingFrequency
# if share price decreases, sell all shares
# convert unrealized gains into profits / loss
if (currentPrice < previousPrice):
valueOfInvestment = coinsOwned * currentPrice
profit += valueOfInvestment - costOfInvestment
# reset tracking variables
unrealizedGains = 0
costOfInvestment = 0
valueOfInvestment = 0
coinsOwned = 0
timeSpent += buyingFrequency
prices.append(currentPrice)
profitOrLoss.append(profit)
percentPriceChange.append(
((currentPrice - previousPrice) / previousPrice) * 100)
previousPrice = currentPrice
# calculate current net income & shares owned
print("Current Price: $" + str(currentPrice))
print("Value of Investment: $" + str(valueOfInvestment))
print("Cost of Posistion: $" + str(costOfInvestment))
print("Profit: $" + str(profit))
print("Coins Owned: " + str(coinsOwned))
print("*****************\n")
# close posistion at end of trading
cash = cash + (coinsOwned * currentPrice)
coinsOwned = 0
timeSpent += buyingFrequency
closingPrice = currentPrice
closingTime = datetime.now().strftime("%m/%d/%Y %H:%M:%S")
totalPercentPriceChange = (((closingPrice - openingPrice) / openingPrice) *
100)
truncatedTotalPercentPriceChange = '%.4f' % (totalPercentPriceChange)
# calculate final profit/loss
print("Opening Price: $" + str(openingPrice))
print("Closing Price: $" + str(closingPrice))
print("Stock Price Change: " + str(totalPercentPriceChange))
print("Profit / Loss: $" + str(profit))
# write results to appropriate txt file
tradeDetails = [
startTime, closingTime, ticker, openingPrice, closingPrice,
truncatedTotalPercentPriceChange, buyingFrequency, totalRuntime,
coinsToBuy, profit
]
writeTradeDetails(tradeDetails)
writeGraphingDetails(prices, profitOrLoss, percentPriceChange)
return prices, profitOrLoss, percentPriceChange
def test_get_price_full(self):
price = cryptocompare.get_price('ETH', full=True)
self.assertIn('RAW', price)
self.assertIn('ETH', price['RAW'])
self.assertIn('EUR', price['RAW']['ETH'])
self.assertIn('PRICE', price['RAW']['ETH']['EUR'])
def of(self, instr): data = cryptocompare.get_price(instr, curr='USD') return Decimal(data[instr]['USD'])
def get_price(self):
return cryptocompare.get_price(self.name,
curr=self.curr)[self.name][self.curr]
import cryptocompare
import io
import ipfshttpclient
import matplotlib.pyplot as plt
import pytest
import qrcode
import os
app = Flask(__name__)
babel = Babel(app)
translator = Translator()
app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False
test_address = os.environ.get('TEST_ADDRESS')
private_key = os.environ.get('PRIVATE_KEY')
web3 = Web3(Web3.HTTPProvider(os.environ.get('ROPSTEN_URL')))
valorUDC = cryptocompare.get_price('ETH').get('ETH').get('EUR')
init_db()
app.secret_key = os.environ.get("PRIVATE_KEY")
app.config["PRIVATE_KEY"] = app.secret_key
oauth = OAuth(app)
google = oauth.register(
name='google',
client_id=os.environ.get('GOOGLE_CLIENT_ID'),
client_secret=os.environ.get('GOOGLE_CLIENT_SECRET'),
access_token_url='https://accounts.google.com/o/oauth2/token',
access_token_params=None,
authorize_url='https://accounts.google.com/o/oauth2/auth',
authorize_params=None,
api_base_url='https://www.googleapis.com/oauth2/v1/',
userinfo_endpoint='https://openidconnect.googleapis.com/v1/userinfo',
def get_usd_crypto_price(coin):
usd_crypto_price = str(cryptocompare.get_price(
coin, currency='USD')).strip('{}:')
f = usd_crypto_price.split(' ')
usd_price = f[2]
return usd_price
def get_balance(test_address):
web3 = Web3(Web3.HTTPProvider(os.environ.get('ROPSTEN_URL')))
balance = web3.eth.getBalance(test_address)
valorUDC = cryptocompare.get_price('ETH').get('ETH').get('EUR')
balancefloat = float(web3.fromWei(balance, "ether")) * valorUDC
return balancefloat
app.tokenContract = 0
app.crowdContract = 0
app.wallet = 0
app.cap = 0
app.goal = 0
app.cloTime = 0
app.balances = {}
app.name = ''
accounts = []
for i in range(10):
accounts.append(w3.eth.accounts[i])
app.name_accounts = ['Producer','Collaborator 1', 'Collaborator 2', 'Investor 1', 'Investor 2',\
'Investor 3', 'Investor 4', 'Consumer 1', 'Consumer 2', 'Consumer 3']
app.accounts = {app.name_accounts[i]: accounts[i] for i in range(10)}
exchange_rate = cryptocompare.get_price('ETH', curr='USD')['ETH'][
'USD'] # used to have real time eth/dollar exchange rate
## FUNCTIONS
# Convert from usual date-time format to unix one which is read by the MovBitCrowdsale contract
def convertToUnix(s):
date, time = s.split(" ")
day, month, year = date.split("/")
hour, minute = time.split(":")
return int(datetime.datetime(int(year),int(month),int(day),\
int(hour), int(minute)).timestamp())
# Convert from unix date-time format to usal one
def convertToDate(s):
timestamp = datetime.datetime.fromtimestamp(int(s))
import cryptocompare
btc = cryptocompare.get_price('BTC', currency='BRL')
print(btc)
# RESULTADO {'BTC': {'BRL': 314056.13}}
doge = cryptocompare.get_price('DOGE', currency='BRL')
print(doge)
# RESULTADO {'DOGE': {'BRL': 1.828}}