| Overall Statistics |
|
Total Orders 1 Average Win 0% Average Loss 0% Compounding Annual Return 139.235% Drawdown 42.900% Expectancy 0 Start Equity 100000.0 End Equity 240285.02 Net Profit 140.285% Sharpe Ratio 3.103 Sortino Ratio 4.111 Probabilistic Sharpe Ratio 79.360% Loss Rate 0% Win Rate 0% Profit-Loss Ratio 0 Alpha -1.029 Beta 0.744 Annual Standard Deviation 0.555 Annual Variance 0.308 Information Ratio -9.362 Tracking Error 0.211 Treynor Ratio 2.316 Total Fees $399.02 Estimated Strategy Capacity $79000.00 Lowest Capacity Asset BTCUSD 10B Portfolio Turnover 0.13% |
from AlgorithmImports import *
from QuantConnect.DataSource import *
from QuantConnect.Data.UniverseSelection import *
class CoinAPIDataAlgorithm(QCAlgorithm):
def initialize(self) -> None:
self.set_start_date(2020, 6, 1)
self.set_end_date(2021, 6, 1)
self.set_cash(100000)
self.universe_settings.asynchronous = True
# Kraken accepts both Cash and Margin type account.
self.set_brokerage_model(BrokerageName.KRAKEN, AccountType.MARGIN)
# Warm up the security with the last known price to avoid conversion error
self.set_security_initializer(lambda security: security.set_market_price(self.get_last_known_price(security)))
# Requesting data
crypto = self.add_crypto("BTCUSD", Resolution.MINUTE, Market.KRAKEN)
self.btcusd = crypto.symbol
self.minimum_order_size = crypto.symbol_properties.minimum_order_size
self.threshold = 0.5
# Historical data
history = self.history(self.btcusd, 30, Resolution.DAILY)
self.debug(f"We got {len(history)} items from our history request")
# Add Crypto Universe Selection
self._universe = self.add_universe(CryptoUniverse.kraken(self.universe_selection_filter))
# Historical Universe data
universe_history = self.history(self._universe, 30, Resolution.DAILY)
self.debug(f"We got {len(universe_history)} items from our universe history request")
for (univere_symbool, time), universe_day in universe_history.items():
for universe_item in universe_day:
self.debug(f"{universe_item.symbol} price at {universe_item.end_time}: {universe_item.close}")
def universe_selection_filter(self, universe_day):
return [universe_item.symbol for universe_item in universe_day
if universe_item.volume >= 100
and universe_item.volume_in_usd > 10000]
def on_data(self, slice: Slice) -> None:
if self.portfolio.cash_book['BTC'].amount == 0:
free_cash = self.portfolio.cash_book['USD'].amount * (1-self.settings.free_portfolio_value_percentage)
quantity = self.threshold*free_cash / slice[self.btcusd].price
quantity -= quantity % self.minimum_order_size
if quantity > 0:
self.market_order(self.btcusd, quantity)