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qapi.py
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qapi.py
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from qtrade_client.api import QtradeAPI
import random
import json
import time
import os
import sys
from log import Logger
from datetime import datetime
import requests
from dateutil import parser
from auth import QtradeAuth
DEBUG = False
DEMO = False
DEMO_MARKETS = ["NYZO", "BIS"]
log_obj = Logger("qtrader.log", "WARNING")
log = log_obj.logger
def part_percentage(part, whole):
return float(100.0) * part / whole
def load_credentials():
if os.path.exists("secret"):
with open("secret") as authfile:
return authfile.read()
else:
while True:
with open("secret", "w") as authfile:
auth = input("Enter your qTrade authentication data: ")
if ":" in auth:
authfile.write(auth)
return auth
else:
pass
class Order:
def __init__(self):
self.id = None
self.market_amount = None
self.market_amount_remaining = None
self.created_at = None
self.price = None
self.order_type = None
self.market_id = None
self.open = None
self.trades = None
class PairOrders:
def __init__(self):
self.api = api.get(
f"https://api.qtrade.io/v1/user/market/{conf.pair}"
).json()
self.base_balance = self.api["data"]["base_balance"]
self.closed_orders = self.api["data"]["closed_orders"]
self.market_balance = self.api["data"]["market_balance"]
self.open_orders = api.auth_native.orders(open=True)
class PairMarket:
def __init__(self, configuration):
self.ask = float(conf.market_api["data"]["ask"])
self.bid = float(conf.market_api["data"]["bid"])
self.spread = float(abs(self.ask - self.bid))
self.day_avg_price = float(conf.market_api["data"]["day_avg_price"])
self.day_change = float(conf.market_api["data"]["day_change"])
self.day_high = float(conf.market_api["data"]["day_high"])
self.day_low = float(conf.market_api["data"]["day_low"])
self.day_open = float(conf.market_api["data"]["day_open"])
self.day_volume_base = float(conf.market_api["data"]["day_volume_base"])
self.day_volume_market = float(conf.market_api["data"]["day_volume_market"])
self.id = int(conf.market_api["data"]["id"])
self.id_hr = conf.market_api["data"]["id_hr"]
self.last_price = float(conf.market_api["data"]["last"])
self.day_spread = float(abs(self.day_high - self.day_low))
self.spread_pct = 100 - part_percentage(self.bid, self.ask)
def pick_currency(balances_dict, currency_name):
for entry in balances_dict["data"]["balances"]:
if entry["currency"] == currency_name:
return Balance(entry)
else:
entry = {"currency": currency_name, "balance": 0}
return Balance(entry)
class Balance:
def __init__(self, balance_dict):
self.name = balance_dict["currency"]
self.balance = float(balance_dict["balance"])
class Config:
def __init__(self, **kwargs):
self.orders_placed = []
self.name = kwargs["name"]
self.pair = f"{kwargs['name']}_BTC"
if DEMO:
self.sell_amount = 0
else:
self.sell_amount = float(kwargs["sell_amount"])
self.buy_amount = float(kwargs["buy_amount"])
self.buy_longevity = int(kwargs["buy_longevity"])
self.sell_longevity = int(kwargs["sell_longevity"])
self.spread_pct_min = float(kwargs["spread_pct_min"])
self.market_api = None
self.refresh_api()
self.market_id = self.market_api["data"]["id"]
self.price_adjustment = float(kwargs["price_adjustment"])
log.warning("market_api", self.market_api)
self.max_buy_price = float(kwargs["max_buy_price"])
self.min_sell_price = float(kwargs["min_sell_price"])
self.last_refreshed = None
self.max_stash = float(kwargs["max_stash"])
self.min_stash = float(kwargs["min_stash"])
self.random_size = float(kwargs["random_size"])
self.end_pause = float(kwargs["end_pause"])
def count_orders(self):
self.orders_count = len(self.orders_placed)
return self.orders_count
def refresh_api(self):
self.last_refreshed = time.time()
self.market_api = api.get(f"https://api.qtrade.io/v1/ticker/{self.pair}").json()
def age(timestamp):
timestamp_ISO_8601 = parser.isoparse(timestamp)
epoch_ts = datetime.timestamp(timestamp_ISO_8601)
return int(time.time() - epoch_ts)
def buy(conf, pair_market):
# place a buy order
log.warning("Checking to place a buy order")
if pair_market.bid >= conf.max_buy_price:
log.warning("Market price too high to buy now")
elif conf.buy_amount <= 0:
log.warning(f"Not configured to buy (buy set to {conf.buy_amount})")
else:
btc = pick_currency(balances, "BTC")
altcoin = pick_currency(balances, conf.name)
random_value = randomize(conf.random_size)
buy_value = conf.buy_amount + random_value
final_price = pair_market.bid + conf.price_adjustment
if altcoin.balance >= conf.max_stash:
log.warning("Maximum stash reached, will not create new buy orders")
# log.warning(balance["balance"])
elif (
btc.balance >= buy_value * final_price
): # if one can afford to buy, sometimes fails because we can't refresh api on every order
# discount = percentage(trade_price_percentage, pair_market.bid)
req = {
"amount": "%.4f" % buy_value,
"market_id": conf.market_id,
"price": "%.8f" % final_price,
}
result = api.post(
"https://api.qtrade.io/v1/user/buy_limit", json=req
).json()
log.warning(result)
order_id = int(result["data"]["order"]["id"])
log.warning(f"Placed buy order {order_id}")
conf.orders_placed.append({"id": order_id, "order_type": "buy"})
else:
log.warning(
f"Insufficient balance ({'%.8f' % btc.balance}) for {conf.name} ({conf.buy_amount} units)"
)
# place a buy order
def randomize(random_size_value):
randomized = float(
"%.4f" % random.uniform((-random_size_value), (random_size_value))
)
return randomized
def sell(conf, pair_market):
log.warning("Checking to place a sell order")
# place a sell order
if pair_market.ask <= conf.min_sell_price:
log.warning("Market price too low to sell now")
elif conf.sell_amount <= 0:
log.warning(f"Not configured to sell (sell set to {conf.sell_amount})")
else:
altcoin = pick_currency(balances, conf.name)
random_value = randomize(conf.random_size)
sell_value = conf.sell_amount + random_value
final_price = pair_market.ask - conf.price_adjustment
if altcoin.balance <= conf.min_stash:
log.warning("Minimum stash reached, will not create new sell orders")
elif altcoin.balance >= sell_value:
# sell order
req = {
"amount": "%.4f" % sell_value,
"market_id": conf.market_id,
"price": "%.8f" % final_price,
}
result = api.post(
"https://api.qtrade.io/v1/user/sell_limit", json=req
).json()
log.warning(result)
order_id = result["data"]["order"]["id"]
log.warning(f"Placed sell order {order_id}")
conf.orders_placed.append({"id": order_id, "order_type": "sell"})
else:
log.warning(
f"Insufficient balance ({'%.8f' % altcoin.balance}) for {conf.name} ({conf.buy_amount} units)"
)
# place a sell order
def pick_longevity_from_type(order_type, conf):
if order_type == "buy_limit":
return conf.buy_longevity
elif order_type == "sell_limit":
return conf.sell_longevity
else:
return None
def loop_pair_orders(conf, pair_orders):
# go through orders
for order in pair_orders.open_orders:
if order["market_id"] == conf.market_id:
# log.warning(order["created_at"])
order_id = int(order["id"])
order_type = order["order_type"]
age_of_order = age(order["created_at"])
longevity = pick_longevity_from_type(order_type, conf)
if age_of_order > longevity:
log.warning(
f"Removing old {order_type} order {order_id}, ({age_of_order}/{longevity}) seconds old"
)
req = {"id": order_id}
result = api.post(
"https://api.qtrade.io/v1/user/cancel_order", json=dict(req)
)
log.warning(result)
for entry in conf.orders_placed:
if entry["id"] == order_id:
conf.orders_placed.remove(entry)
else:
log.warning(
f"{order_type} order {order_id} retained, {age_of_order}/{longevity} seconds old"
)
# go through orders
log.warning(f"Total {conf.name} orders: {conf.orders_placed}")
log.warning(f"Total number of {conf.name} orders: {conf.count_orders()}")
def market_stats(conf, pair_market):
log.warning(f"base_balance {pair_orders.base_balance}")
log.warning(f"closed_orders {pair_orders.closed_orders[:10]}")
log.warning(f"market_balance {pair_orders.market_balance}")
log.warning(f"open_orders {pair_orders.open_orders}")
log.warning(
f"api last refresh: {time.strftime('%Y-%m-%d %H:%M:%S', time.localtime(conf.last_refreshed))}"
)
log.warning(f"spread: {'%.8f' % pair_market.spread}")
log.warning(f"ask: {'%.8f' % pair_market.ask}")
log.warning(f"bid: {'%.8f' % pair_market.bid}")
log.warning(f"day_avg_price: {'%.8f' % pair_market.day_avg_price}")
log.warning(f"day_change: {'%.8f' % pair_market.day_change}")
log.warning(f"day_high: {'%.8f' % pair_market.day_high}")
log.warning(f"day_low: {'%.8f' % pair_market.day_low}")
log.warning(f"day_open: {'%.8f' % pair_market.day_open}")
log.warning(f"day_volume_base: {'%.8f' % pair_market.day_volume_base}")
log.warning(f"day_volume_market: {'%.8f' % pair_market.day_volume_market}")
log.warning(f"id: {pair_market.id}")
log.warning(f"id_hr: {pair_market.id_hr}")
log.warning(f"last_price: {'%.8f' % pair_market.last_price}")
log.warning(f"day_spread: {'%.8f' % pair_market.day_spread}")
log.warning(f"spread_pct: {'%.8f' % pair_market.spread_pct}")
if __name__ == "__main__":
# Create a session object to make repeated API calls easy!
api = requests.Session()
# Create an authenticator with your API key
api.auth_native = QtradeAPI(
"https://api.qtrade.io", key=load_credentials()
) # use in the future
api.auth = QtradeAuth(load_credentials())
# load currencies
active_currencies = []
with open("config.json") as confile:
confile_contents = json.loads(confile.read())
for currency in confile_contents:
log.warning(f"Loaded {currency}")
active_currencies.append(
Config(
name=currency["name"],
sell_amount=currency["sell_amount"],
buy_amount=currency["buy_amount"],
buy_longevity=currency["buy_longevity"],
sell_longevity=currency["sell_longevity"],
spread_pct_min=currency["spread_pct_min"],
price_adjustment=float(currency["price_adjustment"]),
max_buy_price=currency["max_buy_price"],
min_sell_price=currency["min_sell_price"],
max_stash=currency["max_stash"],
min_stash=currency["min_stash"],
random_size=currency["random_size"],
end_pause=currency["end_pause"],
)
)
# load currencies
while True:
try:
me = api.get("https://api.qtrade.io/v1/user/me").json()
log.warning(me)
for conf in active_currencies:
if DEMO and conf.name not in DEMO_MARKETS:
log.warning("Demo mode active, skipping market")
break
log.warning(f"Working on {conf.pair}")
conf.refresh_api()
# Make a call to API
# move data to object
pair_market = PairMarket(conf)
pair_orders = PairOrders()
market_stats(conf, pair_market)
loop_pair_orders(conf, pair_orders) # pair conf is different
if pair_market.spread_pct < conf.spread_pct_min:
log.warning(
f"No new orders, spread {pair_market.spread_pct} too small"
)
else:
balances = api.get("https://api.qtrade.io/v1/user/balances").json()
log.warning(balances)
sell(conf, pair_market)
buy(conf, pair_market)
log.warning(f"Taking a break for {conf.end_pause} seconds")
time.sleep(conf.end_pause)
except Exception as e:
log.warning(f"Exception {e}")
if DEBUG:
raise
log.warning("Loop ended, waiting for 60 seconds")
time.sleep(60)