class TestBittrexAccountAPI(unittest.TestCase):
def setUp(self):
self.bittrex = Bittrex()
def test_get_balances(self):
actual = self.bittrex.get_balances()
test_basic_response(self, actual, 'get_balances')
def test_get_balance(self):
self.assertRaises(TypeError, self.bittrex.get_balance)
actual = self.bittrex.get_balance('BTC')
test_basic_response(self, actual, 'get_balance')
invalid_actual = self.bittrex.get_balance('Invalid currency')
test_failed_response(self, invalid_actual, 'get_balance')
def test_get_deposit_address(self):
self.assertRaises(TypeError, self.bittrex.get_deposit_address)
actual = self.bittrex.get_deposit_address('BTC')
test_basic_response(self, actual, 'get_deposit_address')
invalid_actual = self.bittrex.get_deposit_address('Invalid currency')
test_failed_response(self, invalid_actual, 'get_deposit_address')
def test_withdraw(self):
self.assertRaises(TypeError, self.bittrex.withdraw)
def test_get_order(self):
self.assertRaises(TypeError, self.bittrex.get_order)
actual = self.bittrex.get_order('test')
test_response_structure(self, actual, 'get_order')
def test_get_order_history(self):
actual = self.bittrex.get_order_history()
test_basic_response(self, actual, 'get_order_history')
actual = self.bittrex.get_order_history('BTC-LTC')
test_basic_response(self, actual, 'get_order_history')
def test_get_withdrawal_historyself(self):
actual = self.bittrex.get_withdrawal_history()
test_basic_response(self, actual, 'get_withdrawal_history')
actual = self.bittrex.get_withdrawal_history('BTC')
test_basic_response(self, actual, 'get_withdrawal_history')
def test_get_deposit_history(self):
actual = self.bittrex.get_deposit_history()
test_basic_response(self, actual, 'get_deposit_history')
actual = self.bittrex.get_deposit_history('BTC')
test_basic_response(self, actual, 'get_deposit_history')
from bittrex import Bittrex from database import Database from directory_utilities import get_json_from_file # Add your order UUID here order_uuid = "" secrets_file_directory = "../database/secrets.json" secrets = get_json_from_file(secrets_file_directory) Bittrex = Bittrex(secrets) Database = Database() order = Bittrex.get_order(order_uuid) my_order = Database.convert_bittrex_order_object(order["result"]) print(my_order)
class Trader(object):
"""
Used for handling all trade functionality
"""
def __init__(self, secrets):
self.trade_params = secrets["tradeParameters"]
self.pause_params = secrets["pauseParameters"]
self.Bittrex = Bittrex(secrets)
self.Messenger = Messenger(secrets)
self.Database = Database()
def initialise(self):
"""
Fetch the initial coin pairs to track and to print the header line
"""
try:
if len(self.Database.app_data["coinPairs"]) < 1:
self.Database.store_coin_pairs(self.get_markets("BTC"))
self.Messenger.print_header(
len(self.Database.app_data["coinPairs"]))
except ConnectionError as exception:
self.Messenger.print_exception_error("connection")
logger.exception(exception)
exit()
def analyse_pauses(self):
"""
Check all the paused buy and sell pairs and reactivate the necessary ones
"""
if self.Database.check_resume(self.pause_params["buy"]["pauseTime"],
"buy"):
self.Database.store_coin_pairs(self.get_markets("BTC"))
self.Messenger.print_resume_pause(
len(self.Database.app_data["coinPairs"]), "buy")
if self.Database.check_resume(self.pause_params["sell"]["pauseTime"],
"sell"):
self.Messenger.print_resume_pause(
self.Database.app_data["pausedTrackedCoinPairs"], "sell")
self.Database.resume_sells()
def analyse_buys(self):
"""
Analyse all the un-paused coin pairs for buy signals and apply buys
"""
trade_len = len(self.Database.trades["trackedCoinPairs"])
pause_trade_len = len(self.Database.app_data["pausedTrackedCoinPairs"])
if (trade_len < 1 or pause_trade_len == trade_len
) and trade_len < self.trade_params["buy"]["maxOpenTrades"]:
for coin_pair in self.Database.app_data["coinPairs"]:
self.buy_strategy(coin_pair)
def analyse_sells(self):
"""
Analyse all the un-paused tracked coin pairs for sell signals and apply sells
"""
for coin_pair in self.Database.trades["trackedCoinPairs"]:
if coin_pair not in self.Database.app_data[
"pausedTrackedCoinPairs"]:
self.sell_strategy(coin_pair)
def buy_strategy(self, coin_pair):
"""
Applies the buy checks on the coin pair and handles the results appropriately
:param coin_pair: Coin pair market to check (ex: BTC-ETH, BTC-FCT)
:type coin_pair: str
"""
if (len(self.Database.trades["trackedCoinPairs"]) >=
self.trade_params["buy"]["maxOpenTrades"]
or coin_pair in self.Database.trades["trackedCoinPairs"]):
return
rsi = self.calculate_RSI(coin_pair=coin_pair,
period=14,
unit=self.trade_params["tickerInterval"])
day_volume = self.get_current_24hr_volume(coin_pair)
current_buy_price = self.get_current_price(coin_pair, "ask")
if self.check_buy_parameters(rsi, day_volume, current_buy_price):
buy_stats = {"rsi": rsi, "24HrVolume": day_volume}
self.buy(coin_pair, self.trade_params["buy"]["btcAmount"],
current_buy_price, buy_stats)
elif rsi is not None and rsi <= self.pause_params["buy"][
"rsiThreshold"]:
self.Messenger.print_no_buy(coin_pair, rsi, day_volume,
current_buy_price)
elif rsi is not None:
self.Messenger.print_pause(coin_pair, rsi,
self.pause_params["buy"]["pauseTime"],
"buy")
self.Database.pause_buy(coin_pair)
def sell_strategy(self, coin_pair):
"""
Applies the sell checks on the coin pair and handles the results appropriately
:param coin_pair: Coin pair market to check (ex: BTC-ETH, BTC-FCT)
:type coin_pair: str
"""
if (coin_pair in self.Database.app_data["pausedTrackedCoinPairs"]
or coin_pair not in self.Database.trades["trackedCoinPairs"]):
return
rsi = self.calculate_RSI(coin_pair=coin_pair,
period=14,
unit=self.trade_params["tickerInterval"])
current_sell_price = self.get_current_price(coin_pair, "bid")
profit_margin = self.Database.get_profit_margin(
coin_pair, current_sell_price)
if self.check_sell_parameters(rsi, profit_margin):
sell_stats = {"rsi": rsi, "profitMargin": profit_margin}
self.sell(coin_pair, current_sell_price, sell_stats)
elif rsi is not None and profit_margin >= self.pause_params["sell"][
"profitMarginThreshold"]:
self.Messenger.print_no_sell(coin_pair, rsi, profit_margin,
current_sell_price)
elif rsi is not None:
self.Messenger.print_pause(coin_pair, profit_margin,
self.pause_params["sell"]["pauseTime"],
"sell")
self.Database.pause_sell(coin_pair)
def check_buy_parameters(self, rsi, day_volume, current_buy_price):
"""
Used to check if the buy conditions have been met
:param rsi: The coin pair's current RSI
:type rsi: float
:param day_volume: The coin pair's current 24 hour volume
:type day_volume: float
:param current_buy_price: The coin pair's current price
:type current_buy_price: float
:return: Boolean indicating if the buy conditions have been met
:rtype : bool
"""
return (
rsi is not None and rsi <= self.trade_params["buy"]["rsiThreshold"]
and day_volume >= self.trade_params["buy"]["24HourVolumeThreshold"]
and
current_buy_price > self.trade_params["buy"]["minimumUnitPrice"])
def check_sell_parameters(self, rsi, profit_margin):
"""
Used to check if the sell conditions have been met
:param rsi: The coin pair's current RSI
:type rsi: float
:param profit_margin: The coin pair's current profit margin
:type profit_margin: float
:return: Boolean indicating if the sell conditions have been met
:rtype : bool
"""
return ((rsi is not None
and rsi >= self.trade_params["sell"]["rsiThreshold"]
and profit_margin >
self.trade_params["sell"]["minProfitMarginThreshold"])
or profit_margin >
self.trade_params["sell"]["profitMarginThreshold"])
def buy(self, coin_pair, btc_quantity, price, stats, trade_time_limit=2):
"""
Used to place a buy order to Bittrex. Wait until the order is completed.
If the order is not filled within trade_time_limit minutes cancel it.
:param coin_pair: String literal for the market (ex: BTC-LTC)
:type coin_pair: str
:param btc_quantity: The amount of BTC to buy with
:type btc_quantity: float
:param price: The price at which to buy
:type price: float
:param stats: The buy stats object
:type stats: dict
:param trade_time_limit: The time in minutes to wait fot the order before cancelling it
:type trade_time_limit: float
"""
buy_data = self.Bittrex.buy_limit(coin_pair, btc_quantity / price,
price)
if not buy_data["success"]:
return logger.error(
"Failed to buy on {} market.".format(coin_pair))
self.Database.store_initial_buy(coin_pair, buy_data["result"]["uuid"])
buy_order_data = self.get_order(buy_data["result"]["uuid"],
trade_time_limit * 60)
self.Database.store_buy(buy_order_data["result"], stats)
self.Messenger.send_buy_email(buy_order_data["result"], stats)
self.Messenger.print_buy(coin_pair, price, stats["rsi"],
stats["24HrVolume"])
self.Messenger.play_sw_imperial_march()
def sell(self, coin_pair, price, stats, trade_time_limit=2):
"""
Used to place a sell order to Bittrex. Wait until the order is completed.
If the order is not filled within trade_time_limit minutes cancel it.
:param coin_pair: String literal for the market (ex: BTC-LTC)
:type coin_pair: str
:param price: The price at which to buy
:type price: float
:param stats: The buy stats object
:type stats: dict
:param trade_time_limit: The time in minutes to wait fot the order before cancelling it
:type trade_time_limit: float
"""
trade = self.Database.get_open_trade(coin_pair)
sell_data = self.Bittrex.sell_limit(coin_pair, trade["quantity"],
price)
if not sell_data["success"]:
return logger.error(
"Failed to sell on {} market. Bittrex error message: {}".
format(coin_pair, sell_data["message"]))
sell_order_data = self.get_order(sell_data["result"]["uuid"],
trade_time_limit * 60)
# TODO: Handle partial/incomplete sales.
self.Database.store_sell(sell_order_data["result"], stats)
self.Messenger.send_sell_email(sell_order_data["result"], stats)
self.Messenger.print_sell(coin_pair, price, stats["rsi"],
stats["profitMargin"])
self.Messenger.play_sw_theme()
def get_markets(self, main_market_filter=None):
"""
Gets all the Bittrex markets and filters them based on the main market filter
:param main_market_filter: Main market to filter on (ex: BTC, ETH, USDT)
:type main_market_filter: str
:return: All Bittrex markets (with filter applied, if any)
:rtype : list
"""
markets = self.Bittrex.get_markets()
if not markets["success"]:
logger.error("Failed to fetch Bittrex markets")
exit()
markets = markets["result"]
if main_market_filter is not None:
market_check = main_market_filter + "-"
markets = py_.filter_(
markets, lambda market: market_check in market["MarketName"])
markets = py_.map_(markets, lambda market: market["MarketName"])
return markets
def get_current_price(self, coin_pair, price_type):
"""
Gets current market price for a coin pair
:param coin_pair: Coin pair market to check (ex: BTC-ETH, BTC-FCT)
:type coin_pair: str
:param price_type: The type of price to get (one of: 'ask', 'bid')
:type price_type: str
:return: Coin pair's current market price
:rtype : float
"""
coin_summary = self.Bittrex.get_market_summary(coin_pair)
if not coin_summary["success"]:
logger.error(
"Failed to fetch Bittrex market summary for the {} market".
format(coin_pair))
return None
if price_type == "ask":
return coin_summary["result"][0]["Ask"]
if price_type == "bid":
return coin_summary["result"][0]["Bid"]
return coin_summary["result"][0]["Last"]
def get_current_24hr_volume(self, coin_pair):
"""
Gets current 24 hour market volume for a coin pair
:param coin_pair: Coin pair market to check (ex: BTC-ETH, BTC-FCT)
:type coin_pair: str
:return: Coin pair's current 24 hour market volume
:rtype : float
"""
coin_summary = self.Bittrex.get_market_summary(coin_pair)
if not coin_summary["success"]:
logger.error(
"Failed to fetch Bittrex market summary for the {} market".
format(coin_pair))
return None
return coin_summary["result"][0]["BaseVolume"]
def get_closing_prices(self, coin_pair, period, unit):
"""
Returns closing prices within a specified time frame for a coin pair
:param coin_pair: String literal for the market (ex: BTC-LTC)
:type coin_pair: str
:param period: Number of periods to query
:type period: int
:param unit: Ticker interval (one of: 'oneMin', 'fiveMin', 'thirtyMin', 'hour', 'week', 'day', and 'month')
:type unit: str
:return: Array of closing prices
:rtype : list
"""
historical_data = self.Bittrex.get_historical_data(
coin_pair, period, unit)
closing_prices = []
for i in historical_data:
closing_prices.append(i["C"])
return closing_prices
def get_order(self, order_uuid, trade_time_limit):
"""
Used to get an order from Bittrex by it's UUID.
First wait until the order is completed before retrieving it.
If the order is not completed within trade_time_limit seconds, cancel it.
:param order_uuid: The order's UUID
:type order_uuid: str
:param trade_time_limit: The time in seconds to wait fot the order before cancelling it
:type trade_time_limit: float
:return: Order object
:rtype : dict
"""
start_time = time.time()
order_data = self.Bittrex.get_order(order_uuid)
while time.time() - start_time <= trade_time_limit and order_data[
"result"]["IsOpen"]:
time.sleep(10)
order_data = self.Bittrex.get_order(order_uuid)
if order_data["result"]["IsOpen"]:
error_str = self.Messenger.print_order_error(
order_uuid, trade_time_limit, order_data["result"]["Exchange"])
logger.error(error_str)
if order_data["result"]["Type"] == "LIMIT_BUY":
self.Bittrex.cancel(order_uuid)
return order_data
return order_data
def calculate_RSI(self, coin_pair, period, unit):
"""
Calculates the Relative Strength Index for a coin_pair
If the returned value is above 75, it's overbought (SELL IT!)
If the returned value is below 25, it's oversold (BUY IT!)
:param coin_pair: String literal for the market (ex: BTC-LTC)
:type coin_pair: str
:param period: Number of periods to query
:type period: int
:param unit: Ticker interval (one of: 'oneMin', 'fiveMin', 'thirtyMin', 'hour', 'week', 'day', and 'month')
:type unit: str
:return: RSI
:rtype : float
"""
closing_prices = self.get_closing_prices(coin_pair, period * 3, unit)
count = 0
change = []
# Calculating price changes
for i in closing_prices:
if count != 0:
change.append(i - closing_prices[count - 1])
count += 1
if count == 15:
break
# Calculating gains and losses
advances = []
declines = []
for i in change:
if i > 0:
advances.append(i)
if i < 0:
declines.append(abs(i))
average_gain = (sum(advances) / 14)
average_loss = (sum(declines) / 14)
new_avg_gain = average_gain
new_avg_loss = average_loss
for _ in closing_prices:
if 14 < count < len(closing_prices):
close = closing_prices[count]
new_change = close - closing_prices[count - 1]
add_loss = 0
add_gain = 0
if new_change > 0:
add_gain = new_change
if new_change < 0:
add_loss = abs(new_change)
new_avg_gain = (new_avg_gain * 13 + add_gain) / 14
new_avg_loss = (new_avg_loss * 13 + add_loss) / 14
count += 1
if new_avg_loss == 0:
return None
rs = new_avg_gain / new_avg_loss
new_rs = 100 - 100 / (1 + rs)
return new_rs
class TradeBot():
def __init__(self, key=None, secret=None, **kwargs):
self.exchange = Bittrex(key, secret)
self.orders = []
# Default config
config = {
'base_currency': 'ETH',
'min_order': 0.001,
'max_order': 0.05,
'sleep_time': 60,
'profit': 2,
'min_volume': 75,
'max_units': 100
}
# Update config from object constructor
config.update(kwargs)
# Set attributes based on config
for attr in config.keys():
setattr(self, attr, config[attr])
def get_markets(self):
logging.info(f'Getting markets for {self.base_currency}')
all_markets = self.exchange.get_markets()['result']
markets = set()
for mkt in all_markets:
if mkt['BaseCurrency'] == self.base_currency:
markets.add(mkt['MarketName'])
return markets
def get_coins_with_open_orders(self):
open_orders = self.exchange.get_open_orders()['result']
if len(open_orders) == 0:
return []
else:
return [x['Exchange'] for x in open_orders]
def get_market_data(self):
mkt_data = []
for mkt in self.markets:
logging.info(f'Getting market data for {mkt}')
data = self.exchange.get_marketsummary(mkt)['result'][0]
data['Change'] = calculate_change(data['Last'], data['Low'])
mkt_data.append(data)
return mkt_data
def has_balance_to_buy(self):
logging.info('checking if we have some balance to buy')
q = self.exchange.get_balance(self.base_currency)
# balance_adjustment to avoid INSUFFICIENT FUNDS MESSAGE
balance_adjustment = 0.0005
self.balance = q['result']['Available'] - balance_adjustment
logging.debug(f'{self.balance}{self.base_currency} available')
if self.balance >= self.min_order:
return True
else:
return False
def get_market_to_buy(self):
self.update()
mkt = [
m for m in self.market_data if m['BaseVolume'] >= self.min_volume
]
sorted_mkt = sorted(mkt, key=lambda x: x['BaseVolume'], reverse=True)
while sorted_mkt[0]['MarketName'] in self.coins_with_open_orders:
sorted_mkt.pop(0)
return sorted_mkt[0]
def buy(self, mkt):
coin = mkt['MarketName']
# get a price between ask and bid
price = (mkt['Ask'] + mkt['Bid']) / 2
if self.balance > self.max_order:
qnt = self.max_order / price
else:
qnt = self.balance / price
if qnt > self.max_units:
qnt = self.max_units
if (qnt * price) < self.min_order:
qnt = self.min_order / price
logging.info(f'BUY {qnt} {coin} - price {price}, total {price * qnt}')
order = self.exchange.buy_limit(coin, qnt, price)
if order['success']:
self.orders.append(order['result']['uuid'])
else:
logging.error(f'BUY FAIL - {order}')
return (order)
def sell(self):
for order in self.orders:
order_info = self.exchange.get_order(order)['result']
if order_info['Closed']:
coin = order_info['Exchange']
qnt = order_info['Quantity']
price = profit(order_info['PricePerUnit'], self.profit)
sell_order = self.exchange.sell_limit(coin, qnt, price)
self.orders.remove(order)
logging.info(f'SELL {order} {sell_order}')
def update(self):
logging.info('Updating data')
self.markets = self.get_markets()
self.market_data = self.get_market_data()
self.coins_with_open_orders = self.get_coins_with_open_orders()
def do_trade(self):
if self.has_balance_to_buy():
self.buy(self.get_market_to_buy())
if len(self.orders) > 0:
self.sell()
logging.info(f'Sleeping for {self.sleep_time} seconds')
sleep(self.sleep_time)
def run(self):
logging.info('Starting Bot')
while True:
self.do_trade()
class Trader(object):
"""
Used for handling all trade functionality
"""
def __init__(self, secrets):
self.trade_params = secrets["tradeParameters"]
self.pause_params = secrets["pauseParameters"]
self.Bittrex = Bittrex(secrets)
self.Messenger = Messenger(secrets)
self.Database = Database()
def initialise(self):
"""
Fetch the initial coin pairs to track and to print the header line
"""
try:
if len(self.Database.app_data["coinPairs"]) < 1:
self.Database.store_coin_pairs(self.get_markets("BTC"))
self.Messenger.print_header(len(self.Database.app_data["coinPairs"]))
except ConnectionError as exception:
self.Messenger.print_exception_error("connection")
logger.exception(exception)
exit()
def analyse_pauses(self):
"""
Check all the paused buy and sell pairs and reactivate the necessary ones
"""
if self.Database.check_resume(self.pause_params["buy"]["pauseTime"], "buy"):
self.Database.store_coin_pairs(self.get_markets("BTC"))
self.Messenger.print_resume_pause(len(self.Database.app_data["coinPairs"]), "buy")
if self.Database.check_resume(self.pause_params["sell"]["pauseTime"], "sell"):
self.Messenger.print_resume_pause(self.Database.app_data["pausedTrackedCoinPairs"], "sell")
self.Database.resume_sells()
def analyse_buys(self):
"""
Analyse all the un-paused coin pairs for buy signals and apply buys
"""
trade_len = len(self.Database.trades["trackedCoinPairs"])
pause_trade_len = len(self.Database.app_data["pausedTrackedCoinPairs"])
if (trade_len < 1 or pause_trade_len == trade_len) and trade_len < self.trade_params["buy"]["maxOpenTrades"]:
for coin_pair in self.Database.app_data["coinPairs"]:
self.buy_strategy(coin_pair)
def analyse_sells(self):
"""
Analyse all the un-paused tracked coin pairs for sell signals and apply sells
"""
for coin_pair in self.Database.trades["trackedCoinPairs"]:
if coin_pair not in self.Database.app_data["pausedTrackedCoinPairs"]:
self.sell_strategy(coin_pair)
def buy_strategy(self, coin_pair):
"""
Applies the buy checks on the coin pair and handles the results appropriately
:param coin_pair: Coin pair market to check (ex: BTC-ETH, BTC-FCT)
:type coin_pair: str
"""
if (len(self.Database.trades["trackedCoinPairs"]) >= self.trade_params["buy"]["maxOpenTrades"] or
coin_pair in self.Database.trades["trackedCoinPairs"]):
return
rsi = self.calculate_RSI(coin_pair=coin_pair, period=14, unit=self.trade_params["tickerInterval"])
day_volume = self.get_current_24hr_volume(coin_pair)
current_buy_price = self.get_current_price(coin_pair, "ask")
if self.check_buy_parameters(rsi, day_volume, current_buy_price):
buy_stats = {
"rsi": rsi,
"24HrVolume": day_volume
}
self.buy(coin_pair, self.trade_params["buy"]["btcAmount"], current_buy_price, buy_stats)
elif rsi is not None and rsi <= self.pause_params["buy"]["rsiThreshold"]:
self.Messenger.print_no_buy(coin_pair, rsi, day_volume, current_buy_price)
elif rsi is not None:
self.Messenger.print_pause(coin_pair, rsi, self.pause_params["buy"]["pauseTime"], "buy")
self.Database.pause_buy(coin_pair)
def sell_strategy(self, coin_pair):
"""
Applies the sell checks on the coin pair and handles the results appropriately
:param coin_pair: Coin pair market to check (ex: BTC-ETH, BTC-FCT)
:type coin_pair: str
"""
if (coin_pair in self.Database.app_data["pausedTrackedCoinPairs"] or
coin_pair not in self.Database.trades["trackedCoinPairs"]):
return
rsi = self.calculate_RSI(coin_pair=coin_pair, period=14, unit=self.trade_params["tickerInterval"])
current_sell_price = self.get_current_price(coin_pair, "bid")
profit_margin = self.Database.get_profit_margin(coin_pair, current_sell_price)
if self.check_sell_parameters(rsi, profit_margin):
sell_stats = {
"rsi": rsi,
"profitMargin": profit_margin
}
self.sell(coin_pair, current_sell_price, sell_stats)
elif rsi is not None and profit_margin >= self.pause_params["sell"]["profitMarginThreshold"]:
self.Messenger.print_no_sell(coin_pair, rsi, profit_margin, current_sell_price)
elif rsi is not None:
self.Messenger.print_pause(coin_pair, profit_margin, self.pause_params["sell"]["pauseTime"], "sell")
self.Database.pause_sell(coin_pair)
def check_buy_parameters(self, rsi, day_volume, current_buy_price):
"""
Used to check if the buy conditions have been met
:param rsi: The coin pair's current RSI
:type rsi: float
:param day_volume: The coin pair's current 24 hour volume
:type day_volume: float
:param current_buy_price: The coin pair's current price
:type current_buy_price: float
:return: Boolean indicating if the buy conditions have been met
:rtype : bool
"""
return (rsi is not None and rsi <= self.trade_params["buy"]["rsiThreshold"] and
day_volume >= self.trade_params["buy"]["24HourVolumeThreshold"] and
current_buy_price > self.trade_params["buy"]["minimumUnitPrice"])
def check_sell_parameters(self, rsi, profit_margin):
"""
Used to check if the sell conditions have been met
:param rsi: The coin pair's current RSI
:type rsi: float
:param profit_margin: The coin pair's current profit margin
:type profit_margin: float
:return: Boolean indicating if the sell conditions have been met
:rtype : bool
"""
return ((rsi is not None and rsi >= self.trade_params["sell"]["rsiThreshold"] and
profit_margin > self.trade_params["sell"]["minProfitMarginThreshold"]) or
profit_margin > self.trade_params["sell"]["profitMarginThreshold"])
def buy(self, coin_pair, btc_quantity, price, stats, trade_time_limit=2):
"""
Used to place a buy order to Bittrex. Wait until the order is completed.
If the order is not filled within trade_time_limit minutes cancel it.
:param coin_pair: String literal for the market (ex: BTC-LTC)
:type coin_pair: str
:param btc_quantity: The amount of BTC to buy with
:type btc_quantity: float
:param price: The price at which to buy
:type price: float
:param stats: The buy stats object
:type stats: dict
:param trade_time_limit: The time in minutes to wait fot the order before cancelling it
:type trade_time_limit: float
"""
buy_data = self.Bittrex.buy_limit(coin_pair, btc_quantity / price, price)
if not buy_data["success"]:
return logger.error("Failed to buy on {} market.".format(coin_pair))
self.Database.store_initial_buy(coin_pair, buy_data["result"]["uuid"])
buy_order_data = self.get_order(buy_data["result"]["uuid"], trade_time_limit * 60)
self.Database.store_buy(buy_order_data["result"], stats)
self.Messenger.print_buy(coin_pair, price, stats["rsi"], stats["24HrVolume"])
self.Messenger.send_buy_slack(coin_pair, stats["rsi"], stats["24HrVolume"])
self.Messenger.send_buy_gmail(buy_order_data["result"], stats)
self.Messenger.play_sw_imperial_march()
def sell(self, coin_pair, price, stats, trade_time_limit=2):
"""
Used to place a sell order to Bittrex. Wait until the order is completed.
If the order is not filled within trade_time_limit minutes cancel it.
:param coin_pair: String literal for the market (ex: BTC-LTC)
:type coin_pair: str
:param price: The price at which to buy
:type price: float
:param stats: The buy stats object
:type stats: dict
:param trade_time_limit: The time in minutes to wait fot the order before cancelling it
:type trade_time_limit: float
"""
trade = self.Database.get_open_trade(coin_pair)
sell_data = self.Bittrex.sell_limit(coin_pair, trade["quantity"], price)
if not sell_data["success"]:
return logger.error(
"Failed to sell on {} market. Bittrex error message: {}".format(coin_pair, sell_data["message"])
)
sell_order_data = self.get_order(sell_data["result"]["uuid"], trade_time_limit * 60)
# TODO: Handle partial/incomplete sales.
self.Database.store_sell(sell_order_data["result"], stats)
self.Messenger.print_sell(coin_pair, price, stats["rsi"], stats["profitMargin"])
self.Messenger.send_sell_slack(coin_pair, stats["rsi"], stats["profitMargin"])
self.Messenger.send_sell_gmail(sell_order_data["result"], stats)
self.Messenger.play_sw_theme()
def get_markets(self, main_market_filter=None):
"""
Gets all the Bittrex markets and filters them based on the main market filter
:param main_market_filter: Main market to filter on (ex: BTC, ETH, USDT)
:type main_market_filter: str
:return: All Bittrex markets (with filter applied, if any)
:rtype : list
"""
markets = self.Bittrex.get_markets()
if not markets["success"]:
logger.error("Failed to fetch Bittrex markets")
exit()
markets = markets["result"]
if main_market_filter is not None:
market_check = main_market_filter + "-"
markets = py_.filter_(markets, lambda market: market_check in market["MarketName"])
markets = py_.map_(markets, lambda market: market["MarketName"])
return markets
def get_current_price(self, coin_pair, price_type):
"""
Gets current market price for a coin pair
:param coin_pair: Coin pair market to check (ex: BTC-ETH, BTC-FCT)
:type coin_pair: str
:param price_type: The type of price to get (one of: 'ask', 'bid')
:type price_type: str
:return: Coin pair's current market price
:rtype : float
"""
coin_summary = self.Bittrex.get_market_summary(coin_pair)
if not coin_summary["success"]:
logger.error("Failed to fetch Bittrex market summary for the {} market".format(coin_pair))
return None
if price_type == "ask":
return coin_summary["result"][0]["Ask"]
if price_type == "bid":
return coin_summary["result"][0]["Bid"]
return coin_summary["result"][0]["Last"]
def get_current_24hr_volume(self, coin_pair):
"""
Gets current 24 hour market volume for a coin pair
:param coin_pair: Coin pair market to check (ex: BTC-ETH, BTC-FCT)
:type coin_pair: str
:return: Coin pair's current 24 hour market volume
:rtype : float
"""
coin_summary = self.Bittrex.get_market_summary(coin_pair)
if not coin_summary["success"]:
logger.error("Failed to fetch Bittrex market summary for the {} market".format(coin_pair))
return None
return coin_summary["result"][0]["BaseVolume"]
def get_closing_prices(self, coin_pair, period, unit):
"""
Returns closing prices within a specified time frame for a coin pair
:param coin_pair: String literal for the market (ex: BTC-LTC)
:type coin_pair: str
:param period: Number of periods to query
:type period: int
:param unit: Ticker interval (one of: 'oneMin', 'fiveMin', 'thirtyMin', 'hour', 'week', 'day', and 'month')
:type unit: str
:return: Array of closing prices
:rtype : list
"""
historical_data = self.Bittrex.get_historical_data(coin_pair, period, unit)
closing_prices = []
for i in historical_data:
closing_prices.append(i["C"])
return closing_prices
def get_order(self, order_uuid, trade_time_limit):
"""
Used to get an order from Bittrex by it's UUID.
First wait until the order is completed before retrieving it.
If the order is not completed within trade_time_limit seconds, cancel it.
:param order_uuid: The order's UUID
:type order_uuid: str
:param trade_time_limit: The time in seconds to wait fot the order before cancelling it
:type trade_time_limit: float
:return: Order object
:rtype : dict
"""
start_time = time.time()
order_data = self.Bittrex.get_order(order_uuid)
while time.time() - start_time <= trade_time_limit and order_data["result"]["IsOpen"]:
time.sleep(10)
order_data = self.Bittrex.get_order(order_uuid)
if order_data["result"]["IsOpen"]:
error_str = self.Messenger.print_order_error(order_uuid, trade_time_limit, order_data["result"]["Exchange"])
logger.error(error_str)
if order_data["result"]["Type"] == "LIMIT_BUY":
self.Bittrex.cancel(order_uuid)
return order_data
return order_data
def calculate_RSI(self, coin_pair, period, unit):
"""
Calculates the Relative Strength Index for a coin_pair
If the returned value is above 75, it's overbought (SELL IT!)
If the returned value is below 25, it's oversold (BUY IT!)
:param coin_pair: String literal for the market (ex: BTC-LTC)
:type coin_pair: str
:param period: Number of periods to query
:type period: int
:param unit: Ticker interval (one of: 'oneMin', 'fiveMin', 'thirtyMin', 'hour', 'week', 'day', and 'month')
:type unit: str
:return: RSI
:rtype : float
"""
closing_prices = self.get_closing_prices(coin_pair, period * 3, unit)
count = 0
change = []
# Calculating price changes
for i in closing_prices:
if count != 0:
change.append(i - closing_prices[count - 1])
count += 1
if count == 15:
break
# Calculating gains and losses
advances = []
declines = []
for i in change:
if i > 0:
advances.append(i)
if i < 0:
declines.append(abs(i))
average_gain = (sum(advances) / 14)
average_loss = (sum(declines) / 14)
new_avg_gain = average_gain
new_avg_loss = average_loss
for _ in closing_prices:
if 14 < count < len(closing_prices):
close = closing_prices[count]
new_change = close - closing_prices[count - 1]
add_loss = 0
add_gain = 0
if new_change > 0:
add_gain = new_change
if new_change < 0:
add_loss = abs(new_change)
new_avg_gain = (new_avg_gain * 13 + add_gain) / 14
new_avg_loss = (new_avg_loss * 13 + add_loss) / 14
count += 1
if new_avg_loss == 0:
return None
rs = new_avg_gain / new_avg_loss
new_rs = 100 - 100 / (1 + rs)
return new_rs
