from pykrakenapi import KrakenAPI import pandas, krakenex, time, numpy class Kraken: def __init__(self): self.kraken_api = krakenex.API() self.kraken_api.load_key("kraken.key") self.kraken_wrapper = KrakenAPI(self.kraken_api) self.get_balances() # Updates the current wallet prices from the internet def get_balances(self): self.balances = self.kraken_wrapper.get_account_balance() # Gets a table of the price history of the pair since time at intervals of interval minutes def get_ohlc_prices(self, pair, time=round(time.time())-(30*24*3600), interval=60): self.prices = self.kraken_wrapper.get_ohlc_data(pair, interval=interval, since=time)[0].close.iloc[::-1] # Gets the current trading price of the currency pair def get_current_price(self, pair): current_price = numpy.float64(self.kraken_wrapper.get_ticker_information(pair)["c"][0][0]) new_row = pandas.DataFrame([[current_price]], index=[pandas.to_datetime(time.time(), unit = "s")]) self.prices = pandas.concat([self.prices, pandas.DataFrame(new_row)], ignore_index=False) # Calculates the exponential moving average by grabbing data from Kraken on the conversion rate every interval minutes. def calculate_ema(self, short_time=5, long_time=30): self.long_ema = self.prices.ewm(span=long_time).mean() self.short_ema = self.prices.ewm(span=short_time).mean() # Buys crypto def buy_order(self, pair, currency_buy, currency_sell, amount, order_type="market"): self.kraken_wrapper.add_standard_order(pair, "buy", order_type, volume=amount, validate=True) #self.balances["vol"][currency_buy] += amount #self.balances["vol"][currency_sell] -= amount * self.prices.tail(1)[0] time.sleep(1) self.get_balances() # Sells crypto def sell_order(self, pair, currency_buy, currency_sell, amount, order_type="market"): self.kraken_wrapper.add_standard_order(pair, "sell", order_type, volume=amount, validate=True) #self.balances["vol"][currency_buy] -= amount #self.balances["vol"][currency_sell] += amount * self.prices.tail(1)[0] time.sleep(1) self.get_balances()