Overall Statistics |
Total Orders 0 Average Win 0% Average Loss 0% Compounding Annual Return 0% Drawdown 0% Expectancy 0 Start Equity 100000 End Equity 100000 Net Profit 0% Sharpe Ratio 0 Sortino Ratio 0 Probabilistic Sharpe Ratio 0% Loss Rate 0% Win Rate 0% Profit-Loss Ratio 0 Alpha 0 Beta 0 Annual Standard Deviation 0 Annual Variance 0 Information Ratio -1.813 Tracking Error 0.107 Treynor Ratio 0 Total Fees USDC0.00 Estimated Strategy Capacity USDC0 Lowest Capacity Asset Portfolio Turnover 0% |
# region imports from AlgorithmImports import * # endregion class LargeCapCryptoUniverseAlgorithm(QCAlgorithm): def initialize(self): self.set_start_date(2023, 1, 1) self.set_account_currency('USDC') self.set_cash(100_000) self._market = Market.COINBASE self._market_pairs = [ x.key.symbol for x in self.symbol_properties_database.get_symbol_properties_list(self._market) if x.value.quote_currency == self.account_currency ] self._universe = self.add_universe(CoinGeckoUniverse, self._select_assets) def _select_assets(self, data: List[CoinGeckoUniverse]) -> List[Symbol]: # Select the coins that the brokerage supports and have the quote currency we want. tradable_coins = sorted( [d for d in data if d.coin + self.account_currency in self._market_pairs], key=lambda x: x.market_cap ) # Select the 10 largest coins. selected = [x.create_symbol(self._market, self.account_currency) for x in tradable_coins[-10:]] # Plot the universe size. self.plot('Universe', 'Size', len(selected)) return selected