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
secrets = get_secrets()
Messenger = Messenger(secrets)
Trader = Trader(secrets)
Trader.initialise()
while True:
try:
Trader.analyse_pauses()
Trader.analyse_buys()
Trader.analyse_sells()
time.sleep(10)
except SSLError as exception:
Messenger.print_exception_error("SSL")
logger.exception(exception)
time.sleep(10)
except ConnectionError as exception:
Messenger.print_exception_error("connection")
logger.exception(exception)
time.sleep(10)
except json.decoder.JSONDecodeError as exception:
Messenger.print_exception_error("JSONDecode")
logger.exception(exception)
time.sleep(10)
except TypeError as exception:
Messenger.print_exception_error("typeError")
logger.exception(exception)
time.sleep(10)
except KeyError as exception:
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
