Overall Statistics |
Total Trades 8781 Average Win 0.24% Average Loss -0.77% Compounding Annual Return -5.830% Drawdown 58.400% Expectancy -0.018 Net Profit -48.563% Sharpe Ratio -0.482 Probabilistic Sharpe Ratio 0.000% Loss Rate 26% Win Rate 74% Profit-Loss Ratio 0.32 Alpha -0.043 Beta -0.007 Annual Standard Deviation 0.09 Annual Variance 0.008 Information Ratio -0.935 Tracking Error 0.181 Treynor Ratio 5.814 Total Fees $0.00 |
import numpy as np import pandas as pd from collections import * # Reproduce RSI Delta strategy: https://medium.com/swlh/the-rsi-delta-indicator-enhancing-momentum-trading-c1d7ca03a8f8 # AUDCAD # Resolution.Hour # 2010-2020 # Delta RSI(5, 3) # ATR(50) # 40 # stopProfitPrice = price * (1 + (1 *atr)) # stopLossPrice = price * (1 - (4 * atr)) class ForexAlgorithm(QCAlgorithm): def Initialize(self): self.SetStartDate(2010, 1, 1) self.SetCash(100000) # update prices every minute self.resolution = Resolution.Hour self.ticker = "AUDUSD" self.AddForex(self.ticker, self.resolution, Market.FXCM) self.daysInHistory = 10 self.atr = self.ATR(self.ticker, 50, self.resolution) self.rsi = self.RSI(self.ticker, MovingAverageType.Exponential, 5, self.resolution) self.history = deque(maxlen=self.daysInHistory) def OnData(self, data): if data.ContainsKey(self.ticker): self.history.append(self.rsi.Current.Value) price = data[self.ticker].Price if self.Portfolio.Invested: exit = False if self.long == 1: if self.stopProfitPrice <= price: exit = True if self.stopLossPrice >= price: exit = True else: if self.stopProfitPrice >= price: exit = True if self.stopLossPrice <= price: exit = True if exit: self.SetHoldings(self.ticker, 0) else: if len(self.history) >= self.daysInHistory: # history is ready enter = False limit = 40 rsiCurrent = pd.DataFrame(np.array(self.history)) rsiDelta = rsiCurrent - rsiCurrent.shift(3) rsiDelta = rsiDelta.values if rsiDelta[-1] > limit and rsiDelta[-2] < limit and rsiDelta[-3] < limit: enter = True self.long = -1 elif rsiDelta[-1] < -limit and rsiDelta[-2] > -limit and rsiDelta[-3] > -limit: enter = True self.long = 1 if enter: self.stopProfitPrice = price * (1 + self.long * (1 * self.atr.Current.Value)) self.stopLossPrice = price * (1 - self.long * (4 * self.atr.Current.Value)) self.SetHoldings(self.ticker, self.long) def OnEndOfAlgorithm(self): self.Liquidate()