Overall Statistics |
Total Trades 361 Average Win 0.01% Average Loss -0.01% Compounding Annual Return -0.268% Drawdown 0.300% Expectancy -0.078 Net Profit -0.184% Sharpe Ratio -22.952 Probabilistic Sharpe Ratio 3.923% Loss Rate 46% Win Rate 54% Profit-Loss Ratio 0.71 Alpha -0.056 Beta 0.009 Annual Standard Deviation 0.002 Annual Variance 0 Information Ratio -1.517 Tracking Error 0.098 Treynor Ratio -6.289 Total Fees $0.00 Estimated Strategy Capacity $2900000.00 Lowest Capacity Asset LUV R735QTJ8XC9X Portfolio Turnover 1.42% |
# region imports from AlgorithmImports import * from symbol_data import SymbolData from position_manager import PositionManager from tickers import tickers # endregion class IchimokuMomentum(QCAlgorithm): def Initialize(self): self.SetStartDate(2023, 3, 30) self.SetCash(1000000) self.SetWarmUp(timedelta(days=60)) # Timeframes self.slow_resolution = 60 # in minutes self.fast_resolution = 5 # in minutes self.adx_period = 14 self.adx_threshold = 20 self.tenkan_period = 9 self.kijun_period = 26 self.kumo_cloud_signal_enabled = False # invests in the new position with 1% of the total portfolio value (including cash and securities) self.fixed_percentage_positioning = 0.01 self.stop_loss_pct = 0.02 self.take_profit_pct = 0.02 self.use_exit_signals = True self.use_sl_and_tp = False # Kelly Params self.use_kelly_criterion_sizing = True self.win_rate = 0.5 self.average_win = 0.015 self.average_loss = 0.01 self.proportion_of_portfolio = 0.5 # i.e. multiply kelly result by 1/2 ### self.symbols = {} self.position_managers = {} self.debug = False tickers = ["NVDA", "META", "LUV", "FSLR", "GD"] for ticker in tickers: security = self.AddEquity(ticker, Resolution.Minute) # TD Ameritrade Fee Model security.SetFeeModel(TDAmeritradeFeeModel()) security.SetSlippageModel(VolumeShareSlippageModel()) symbol = security.Symbol self.symbols[symbol] = SymbolData(self, symbol, self.fast_resolution, self.slow_resolution, self.adx_period, self.adx_threshold, self.tenkan_period, self.kijun_period, self.kumo_cloud_signal_enabled) self.position_managers[symbol] = PositionManager(self, symbol) def OnData(self, data: Slice): if self.IsWarmingUp: return for symbol, manager in self.position_managers.items(): if self.symbols[symbol].is_ready: manager.update_position() def OnOrderEvent(self, orderEvent): if self.use_sl_and_tp: self.position_managers[orderEvent.Symbol].check_bracket_order_state(orderEvent) def debug_with_flag(self, message): if self.debug: self.Debug(message)
#region imports from AlgorithmImports import * #endregion class PositionManager: '''Manages orders for a symbol ''' def __init__(self, algorithm, symbol): self.algorithm = algorithm self.symbol = symbol self.stop_ticket = None self.profit_ticket = None def bracket_order(self, quantity, stop_loss, take_profit): self.algorithm.MarketOrder(self.symbol, quantity, None, "bracket entry") if self.algorithm.use_sl_and_tp: self.stop_ticket = self.algorithm.StopMarketOrder(self.symbol, -quantity, stop_loss, "bracket stop loss") self.profit_ticket = self.algorithm.LimitOrder(self.symbol, -quantity, take_profit, "bracket take profit") def check_bracket_order_state(self, orderevent): if orderevent.Status is not OrderStatus.Filled: return if self.stop_ticket and orderevent.OrderId == self.stop_ticket.OrderId: self.profit_ticket.Cancel() self.profit_ticket = None self.stop_ticket = None return if self.profit_ticket and orderevent.OrderId == self.profit_ticket.OrderId: self.stop_ticket.Cancel() self.profit_ticket = None self.stop_ticket = None return def update_position(self): if self.algorithm.Portfolio[self.symbol].Invested: if self.algorithm.use_exit_signals: # ICHIMOKU EXIT SIGNALS if self.algorithm.Portfolio[self.symbol].IsLong: if self.algorithm.symbols[self.symbol].is_long_exit_signal: self.algorithm.Liquidate(self.symbol, "long exit signal") self.algorithm.Debug(f"{self.algorithm.Time} - long exit signal {self.symbol}") self.cancel_all_legs() else: if self.algorithm.symbols[self.symbol].is_short_exit_signal: self.algorithm.Liquidate(self.symbol, "short exit signal") self.algorithm.Debug(f"{self.algorithm.Time} - short exit signal {self.symbol}") self.cancel_all_legs() else: if self.algorithm.symbols[self.symbol].is_long_entry_signal: market_price = self.algorithm.Securities[self.symbol].Price stop_loss = market_price * (1 - self.algorithm.stop_loss_pct) take_profit = market_price * (1 + self.algorithm.take_profit_pct) margin = self.algorithm.Portfolio.TotalPortfolioValue * self.algorithm.fixed_percentage_positioning quantity = margin // market_price symb = self.algorithm.symbols[self.symbol] self.algorithm.debug_with_flag(f"Long entry for {quantity} shares of {self.symbol} @ {market_price} - stop: {stop_loss} - tp: {take_profit} 1 hr close: {symb.slow_window[0].Close} adx: [{symb.adx_window[1].Value}, {symb.adx_window[0].Value}] - tenkan_slow: [{symb.ichimoku_tenkan_slow_window[0].Value}] - spanB_fast: [{symb.ichimoku_spanB_fast_window[3].Value}, {symb.ichimoku_spanB_fast_window[2].Value}, {symb.ichimoku_spanB_fast_window[1].Value}, {symb.ichimoku_spanB_fast_window[0].Value}] - tenkan_fast: [{symb.ichimoku_tenkan_fast_window[3].Value}, {symb.ichimoku_tenkan_fast_window[2].Value}, {symb.ichimoku_tenkan_fast_window[1].Value}, {symb.ichimoku_tenkan_fast_window[0].Value}]") self.bracket_order(quantity, stop_loss, take_profit) elif self.algorithm.symbols[self.symbol].is_short_entry_signal: market_price = self.algorithm.Securities[self.symbol].Price stop_loss = market_price * (1 + self.algorithm.stop_loss_pct) take_profit = market_price * (1 - self.algorithm.take_profit_pct) quantity = self.calculate_size(market_price) symb = self.algorithm.symbols[self.symbol] self.algorithm.debug_with_flag(f"Short entry for {quantity} shares of {self.symbol} @ {market_price} - stop: {stop_loss} - tp: {take_profit} 1 hr close: {symb.slow_window[0].Close} adx: [{symb.adx_window[1].Value}, {symb.adx_window[0].Value}] - tenkan_slow: [{symb.ichimoku_tenkan_slow_window[0].Value}] - spanB_fast: [{symb.ichimoku_spanB_fast_window[3].Value}, {symb.ichimoku_spanB_fast_window[2].Value}, {symb.ichimoku_spanB_fast_window[1].Value}, {symb.ichimoku_spanB_fast_window[0].Value}] - tenkan_fast: [{symb.ichimoku_tenkan_fast_window[3].Value}, {symb.ichimoku_tenkan_fast_window[2].Value}, {symb.ichimoku_tenkan_fast_window[1].Value}, {symb.ichimoku_tenkan_fast_window[0].Value}]") self.bracket_order(-quantity, stop_loss, take_profit) def calculate_size(self, market_price): margin = None if self.algorithm.use_kelly_criterion_sizing: win_ratio = self.algorithm.average_win / self.algorithm.average_loss kelly_percent = self.algorithm.win_rate - ((1 - self.algorithm.win_rate) / win_ratio) margin = kelly_percent * self.algorithm.proportion_of_portfolio else: margin = self.algorithm.Portfolio.TotalPortfolioValue * self.algorithm.fixed_percentage_positioning quantity = margin // market_price return quantity @property def order_id(self): return self.entry_ticket.OrderId def cancel_all_legs(self): try: self.stop_ticket.Cancel() self.profit_ticket.Cancel() except: self.algorithm.Liquidate(self.symbol, "Bracket Order Error 4")
#region imports from AlgorithmImports import * #endregion class SymbolData: def __init__(self, algorithm, symbol, fast_resolution, slow_resolution, adx_period, adx_threshold, tenkan_period, kijun_period, kumo_cloud_signal_enabled, window_length=20): self.algorithm = algorithm self.symbol = symbol self.adx_threshold = adx_threshold self.kumo_cloud_signal_enabled = kumo_cloud_signal_enabled ## Bars self.fast_resolution = fast_resolution self.slow_resolution = slow_resolution self.fast_consolidator = TradeBarConsolidator(fast_resolution) self.slow_consolidator = TradeBarConsolidator(slow_resolution) algorithm.SubscriptionManager.AddConsolidator(symbol, self.fast_consolidator) algorithm.SubscriptionManager.AddConsolidator(symbol, self.slow_consolidator) self.fast_consolidator.DataConsolidated += self.__on_fast_bar self.slow_consolidator.DataConsolidated += self.__on_slow_bar self.fast_window = RollingWindow[TradeBar](window_length) self.slow_window = RollingWindow[TradeBar](window_length) ## ADX self.adx = AverageDirectionalIndex(adx_period) self.adx.Updated += self.__adx_update_handler self.adx_window = RollingWindow[IndicatorDataPoint](window_length) self.ichimoku_slow = IchimokuKinkoHyo(tenkanPeriod=tenkan_period, kijunPeriod=kijun_period) self.ichimoku_fast = IchimokuKinkoHyo(tenkanPeriod=tenkan_period, kijunPeriod=kijun_period) self.ichimoku_slow.Updated += self.__ichimoku_slow_update_handler self.ichimoku_fast.Updated += self.__ichimoku_fast_update_handler self.ichimoku_tenkan_fast_window = RollingWindow[IndicatorDataPoint](window_length) self.ichimoku_spanA_fast_window = RollingWindow[IndicatorDataPoint](window_length) self.ichimoku_spanB_fast_window = RollingWindow[IndicatorDataPoint](window_length) self.ichimoku_tenkan_slow_window = RollingWindow[IndicatorDataPoint](window_length) self.ichimoku_spanA_slow_window = RollingWindow[IndicatorDataPoint](window_length) self.ichimoku_spanB_slow_window = RollingWindow[IndicatorDataPoint](window_length) @property def is_long_entry_signal(self): #ichimoku signal fast_tenkan_3bars_ago = self.ichimoku_tenkan_fast_window[2].Value fast_tenkan_4bars_ago = self.ichimoku_tenkan_fast_window[3].Value fast_spanB_3bars_ago = self.ichimoku_spanB_fast_window[2].Value fast_spanB_4bars_ago = self.ichimoku_spanB_fast_window[3].Value ichimoku_signal = fast_tenkan_4bars_ago > fast_spanB_4bars_ago and fast_tenkan_3bars_ago < fast_spanB_3bars_ago # ADX crossover adx_above_threshold = self.adx.Current.Value > self.adx_threshold adx_greater_than_previous = self.adx_window[0].Value > self.adx_window[1].Value # Price last_close_above_slow_tenkan = self.slow_window[0].Close > self.ichimoku_tenkan_slow_window[0].Value signal = ichimoku_signal and adx_above_threshold and adx_greater_than_previous # and last_close_above_slow_tenkan if self.kumo_cloud_signal_enabled: kumo_signal = self.slow_window[0].Close > self.ichimoku_spanA_slow_window[0].Value and \ self.slow_window[0].Close > self.ichimoku_spanB_slow_window[0].Value signal = signal and kumo_signal return signal @property def is_short_entry_signal(self): #ichimoku signal fast_tenkan_3bars_ago = self.ichimoku_tenkan_fast_window[2].Value fast_tenkan_4bars_ago = self.ichimoku_tenkan_fast_window[3].Value fast_spanB_3bars_ago = self.ichimoku_spanB_fast_window[2].Value fast_spanB_4bars_ago = self.ichimoku_spanB_fast_window[3].Value ichimoku_signal = fast_tenkan_4bars_ago < fast_spanB_4bars_ago and fast_tenkan_3bars_ago > fast_spanB_3bars_ago # ADX crossover adx_above_threshold = self.adx.Current.Value > self.adx_threshold adx_greater_than_previous = self.adx_window[0].Value > self.adx_window[1].Value # Price # last_close_below_slow_tenkan = self.slow_window[0].Close < self.ichimoku_tenkan_slow_window[0].Value signal = ichimoku_signal and adx_above_threshold and adx_greater_than_previous # and last_close_below_slow_tenkan if self.kumo_cloud_signal_enabled: kumo_signal = self.slow_window[0].Close < self.ichimoku_spanA_slow_window[0].Value and \ self.slow_window[0].Close < self.ichimoku_spanB_slow_window[0].Value signal = signal and kumo_signal return signal @property def is_long_exit_signal(self): tenkan_crosses_above_spanB = self.ichimoku_tenkan_fast_window[1] < self.ichimoku_spanB_fast_window[1] and \ self.ichimoku_tenkan_fast_window[0] > self.ichimoku_spanB_fast_window[0] return tenkan_crosses_above_spanB @property def is_short_exit_signal(self): tenkan_crosses_below_spanB = self.ichimoku_tenkan_fast_window[1] > self.ichimoku_spanB_fast_window[1] and \ self.ichimoku_tenkan_fast_window[0] < self.ichimoku_spanB_fast_window[0] return tenkan_crosses_below_spanB def remove_consolidators(self): algorithm.SubscriptionManager.RemoveConsolidator(self.symbol, self.fast_consolidator) algorithm.SubscriptionManager.RemoveConsolidator(self.symbol, self.slow_consolidator) def __on_fast_bar(self, sender, bar): self.fast_window.Add(bar) self.ichimoku_fast.Update(bar) def __on_slow_bar(self, sender, bar): self.slow_window.Add(bar) self.adx.Update(bar) self.ichimoku_slow.Update(bar) def __adx_update_handler(self, indicator, IndicatorDataPoint): if self.adx.IsReady: self.adx_window.Add(self.adx.Current) def __ichimoku_fast_update_handler(self, indicator, IndicatorDataPoint): if self.ichimoku_fast.IsReady: self.ichimoku_tenkan_fast_window.Add(self.ichimoku_fast.Tenkan.Current) self.ichimoku_spanA_fast_window.Add(self.ichimoku_fast.SenkouA.Current) # SPAN A self.ichimoku_spanB_fast_window.Add(self.ichimoku_fast.SenkouB.Current) # SPAN B def __ichimoku_slow_update_handler(self, indicator, IndicatorDataPoint): if self.ichimoku_slow.IsReady: self.ichimoku_tenkan_slow_window.Add(self.ichimoku_slow.Tenkan.Current) self.ichimoku_spanA_slow_window.Add(self.ichimoku_slow.SenkouA.Current) # SPAN A self.ichimoku_spanB_slow_window.Add(self.ichimoku_slow.SenkouB.Current) # SPAN B @property def is_ready(self): return self.fast_window.IsReady and self.slow_window.IsReady and self.adx_window.IsReady and \ self.ichimoku_tenkan_fast_window.IsReady and self.ichimoku_spanA_slow_window.IsReady
#region imports from AlgorithmImports import * #endregion tickers = [ "BLK", "LRCX", "ASML", "NOW", "ADBE", "LLY", "COST", "INTU", "KLAC", "UNH", "MPWR", "SNPS", "HUM", "NVDA", "URI", "TMO", "NFLX", "HUBS", "MCK", "LMT", "PH", "LULU", "CHTR", "LIN", "SPGI", "ODFL", "MA", "DE", "MSFT", "BRK/B", "MCO", "VRTX", "GS", # "META", # "AON", # "ACN", # "MSI", # "HD", # "ISRG", # "SYK", # "MCD", # "APD", # "ROK", # "SHW", # "AMGN", # "CDNS", # "FDX", # "V", # "CAT", # "AJG", # "GD", # "WTW", # "PANW", # "HCA", # "ITW", # "VRSK", # "STZ", # "SBAC", # "BDX", # "TSLA", # "PXD", # "WDAY", # "ADP", # "BIIB", # "ETN", # "TT", # "CMI", # "CB", # "CRM", # "UNP", # "CDW", # "ADSK", # "ANET", # "SGEN", # "VMC", # "CME", # "VRSN", # "DHR", # "NSC", # "BA", # "IQV", # "CRWD", # "MAR", # "TSCO", # "LOW", # "NXPI", # "EFX", # "AMT", # "MMC", # "HSY", # "HON", # "AAPL", # "TEAM", # "LHX", # "ZS", # "ECL", # "PWR", # "ADI", # "ZTS", # "VEEV", # "SPOT", # "LNG", # "TRV", # "WM", # "AVB", # "PEP", # "HLT", # "FERG", # "SNOW", # "PGR", # "AXP", # "RSG", # "WMT", # "NUE", # "TTWO", # "AMAT", # "AME", # "IBM", # "PG", # "FANG", # "TXN", # "JPM", # "SPLK", # "JNJ", # "RMD", # "TMUS", # "UPS", # "MPC", # "AMZN", # "CVX", # "HES", # "GOOG", # "ABBV", # "GOOGL", # "PPG", # "DLR", # "WCN", # "ALL", # "EA", # "KEYS", # "TEL", # "AWK", # "EXR", # "TGT", # "PNC", # "QCOM", # "YUM", # "DHI", # "LEN", # "ABNB", # "FI", # "MTB", # "EL", # "VLO", # "KMB", # "CEG", # "EOG", # "ROST", # "AMD", # "GE", # "DG", # "PAYX", # "WAB", # "ORCL", # "A", # "DLTR", # "PSX", # "PDD", # "NTES", # "ICE", # "COP", # "GPN", # "ZBH", # "PLD", # "BIDU", # "DDOG", # "NKE", # "SBUX", # "COF", # "DXCM", # "CCI", # "BX", # "RCL", # "DTE", # "CAH", # "XOM", # "MRK", # "XYL", # "ABT", # "NVO", # "ETR", # "TSM", # "TROW", # "LYB", # "MMM", # "DASH", # "DIS", # "NVS", # "CHD", # "PM", # "ED", # "PCAR", # "DUK", # "APH", # "LYV", # "TJX", # "EMR", # "WELL", # "APO", # "DFS", # "WEC", # "CSGP", # "MCHP", # "AFL", # "RTX", # "MS", # "APTV", # "BABA", # "CBRE", # "AEP", # "AEE", # "MU", # "MRNA", # "HIG", # "CL", # "MDT", # "GILD", # "ADM", # "CNC", # "DELL", # "SRE", # "GEHC", # "CP", # "NET", # "SYY", # "MDLZ", # "DD", # "SO", # "IR", # "ON", # "CTSH", # "CVS", # "FTV", # "EW", # "SHOP", # "TTD", # "KKR", # "EIX", # "OKE", # "GIS", # "SHEL", # "AIG", # "CNQ", # "AZN", # "MET", # "XEL", # "FAST", # "OXY", # "ES", # "KO", # "PYPL", # "NEE", # "SQ", # "MNST", # "BSX", # "MRVL", # "UBER", # "FIS", # "O", # "CARR", # "SLB", # "JCI", # "HWM", # "DOW", # "BMY", # "FTNT", # "CPRT", # "LVS", # "CSCO", # "D", # "C", # "DVN", # "INTC", # "KR", # "WFC", # "CMCSA", # "MO", # "EBAY", # "EXC", # "LI", # "RBLX", # "SE", # "USB", # "HAL", # "NEM", # "VZ", # "FCX", # "DAL", # "BP", # "WMB", # "KHC", # "BKR", # "ENB", # "SU", # "KDP", # "TFC", # "CSX", # "PINS", # "PFE", # "BAC", # "HPQ", # "JD", # "GM" ]