Backtest

Overall Statistics
Total Trades 502 Average Win 0.03% Average Loss -0.02% Compounding Annual Return 11.112% Drawdown 0.200% Expectancy 0.807 Net Profit 3.515% Sharpe Ratio 8.299 Probabilistic Sharpe Ratio 100.000% Loss Rate 40% Win Rate 60% Profit-Loss Ratio 2.02 Alpha 0.086 Beta -0.014 Annual Standard Deviation 0.01 Annual Variance 0 Information Ratio 0.194 Tracking Error 0.1 Treynor Ratio -6.07 Total Fees $0.00

[['2019-02-01', 0, 2.73], ['2019-02-01', 1, 2.07], ['2019-02-01', 2, 1.1], ['2019-02-01', 3, 1.11], ['2019-02-01', 4, 1.7], ['2019-02-01', 5, 1.08], ['2019-02-01', 6, 1.83], ['2019-02-01', 7, 1.3], ['2019-02-01', 8, 6.18], ['2019-02-01', 9, 1.1], ['2019-02-01', 10, 1.27], ['2019-02-01', 11, 2.17], ['2019-02-01', 12, 1.83], ['2019-02-01', 13, 1.14], ['2019-02-01', 14, 1.26], ['2019-02-01', 15, 1.19], ['2019-02-03', 16, 2.18], ['2019-02-03', 17, 1.0], ['2019-02-03', 18, 1.0], ['2019-02-03', 19, 1.31], ['2019-02-03', 20, 1.87], ['2019-02-03', 21, 4.14], ['2019-02-03', 22, 2.2], ['2019-02-03', 23, 3.3], ['2019-02-04', 0, 1.0], ['2019-02-04', 1, 2.3], ['2019-02-04', 2, 2.1], ['2019-02-04', 3, 1.0], ['2019-02-04', 4, 1.94], ['2019-02-04', 5, 1.57], ['2019-02-04', 6, 1.77], ['2019-02-04', 7, 3.86], ['2019-02-04', 8, 1.63], ['2019-02-04', 9, 1.48], ['2019-02-04', 10, 1.22], ['2019-02-04', 11, 1.84], ['2019-02-04', 12, 1.52], ['2019-02-04', 13, 1.09], ['2019-02-04', 14, 1.0], ['2019-02-04', 15, 1.39], ['2019-02-04', 16, 1.8], ['2019-02-04', 17, 2.15], ['2019-02-04', 18, 1.32], ['2019-02-04', 19, 1.66], ['2019-02-04', 20, 2.3], ['2019-02-04', 21, 1.39], ['2019-02-04', 22, 2.03], ['2019-02-04', 23, 1.09], ['2019-02-05', 0, 1.24], ['2019-02-05', 1, 1.0], ['2019-02-05', 2, 1.14], ['2019-02-05', 3, 1.29], ['2019-02-05', 4, 1.0], ['2019-02-05', 5, 1.46], ['2019-02-05', 6, 1.63], ['2019-02-05', 7, 1.83], ['2019-02-05', 8, 2.5], ['2019-02-05', 9, 4.44], ['2019-02-05', 10, 1.0], ['2019-02-05', 11, 1.0], ['2019-02-05', 12, 2.31], ['2019-02-05', 13, 1.0], ['2019-02-05', 14, 1.78], ['2019-02-05', 15, 1.63], ['2019-02-05', 16, 1.8], ['2019-02-05', 17, 1.0], ['2019-02-05', 18, 3.23], ['2019-02-05', 19, 1.0], ['2019-02-05', 20, 3.44], ['2019-02-05', 21, 1.88], ['2019-02-05', 22, 2.22], ['2019-02-05', 23, 1.31], ['2019-02-06', 0, 5.0], ['2019-02-06', 1, 1.74], ['2019-02-06', 2, 1.0], ['2019-02-06', 3, 1.81], ['2019-02-06', 4, 1.72], ['2019-02-06', 5, 1.98], ['2019-02-06', 6, 1.29], ['2019-02-06', 7, 2.42], ['2019-02-06', 8, 2.7], ['2019-02-06', 9, 1.0], ['2019-02-06', 10, 1.81], ['2019-02-06', 11, 1.0], ['2019-02-06', 12, 2.12], ['2019-02-06', 13, 1.0], ['2019-02-06', 14, 1.16], ['2019-02-06', 15, 2.24], ['2019-02-06', 16, 2.7], ['2019-02-06', 17, 1.0], ['2019-02-06', 18, 1.48], ['2019-02-06', 19, 1.26], ['2019-02-06', 20, 2.37], ['2019-02-06', 21, 1.63], ['2019-02-06', 22, 1.1], ['2019-02-06', 23, 3.43], ['2019-02-07', 0, 1.77], ['2019-02-07', 1, 2.44], ['2019-02-07', 2, 1.12], ['2019-02-07', 3, 1.35], ['2019-02-07', 4, 1.37], ['2019-02-07', 5, 1.0], ['2019-02-07', 6, 2.76], ['2019-02-07', 7, 2.24], ['2019-02-07', 8, 2.61], ['2019-02-07', 9, 1.21], ['2019-02-07', 10, 1.57], ['2019-02-07', 11, 1.0], ['2019-02-07', 12, 2.1], ['2019-02-07', 13, 1.42], ['2019-02-07', 14, 1.06], ['2019-02-07', 15, 3.07], ['2019-02-07', 16, 1.56], ['2019-02-07', 17, 1.14], ['2019-02-07', 18, 2.36], ['2019-02-07', 19, 1.28], ['2019-02-07', 20, 2.43], ['2019-02-07', 21, 1.0], ['2019-02-07', 22, 1.15], ['2019-02-07', 23, 1.22], ['2019-02-08', 0, 1.52], ['2019-02-08', 1, 2.23], ['2019-02-08', 2, 1.3], ['2019-02-08', 3, 2.49], ['2019-02-08', 4, 1.0], ['2019-02-08', 5, 1.33], ['2019-02-08', 6, 1.0], ['2019-02-08', 7, 2.8], ['2019-02-08', 8, 1.5], ['2019-02-08', 9, 1.78], ['2019-02-08', 10, 2.23], ['2019-02-08', 11, 1.49], ['2019-02-08', 12, 1.07], ['2019-02-08', 13, 1.55], ['2019-02-08', 14, 1.85], ['2019-02-08', 15, 1.87], ['2019-02-10', 16, 1.91], ['2019-02-10', 17, 1.18], ['2019-02-10', 18, 1.14], ['2019-02-10', 19, 1.31], ['2019-02-10', 20, 1.09], ['2019-02-10', 21, 2.21], ['2019-02-10', 22, 1.81], ['2019-02-10', 23, 1.14], ['2019-02-11', 0, 3.74], ['2019-02-11', 1, 2.34], ['2019-02-11', 2, 1.97], ['2019-02-11', 3, 1.39], ['2019-02-11', 4, 2.15], ['2019-02-11', 5, 1.0], ['2019-02-11', 6, 2.48], ['2019-02-11', 7, 1.33], ['2019-02-11', 8, 1.04], ['2019-02-11', 9, 1.14], ['2019-02-11', 10, 4.06], ['2019-02-11', 11, 1.72], ['2019-02-11', 12, 2.19], ['2019-02-11', 13, 1.32], ['2019-02-11', 14, 2.24], ['2019-02-11', 15, 1.33], ['2019-02-11', 16, 1.07], ['2019-02-11', 17, 1.27], ['2019-02-11', 18, 1.48], ['2019-02-11', 19, 1.0], ['2019-02-11', 20, 1.37], ['2019-02-11', 21, 1.63], ['2019-02-11', 22, 2.35], ['2019-02-11', 23, 1.2], ['2019-02-12', 0, 3.07], ['2019-02-12', 1, 1.7], ['2019-02-12', 2, 2.2], ['2019-02-12', 3, 3.29], ['2019-02-12', 4, 1.36], ['2019-02-12', 5, 2.49], ['2019-02-12', 6, 1.42], ['2019-02-12', 7, 2.38], ['2019-02-12', 8, 1.0], ['2019-02-12', 9, 2.81], ['2019-02-12', 10, 1.65], ['2019-02-12', 11, 1.36], ['2019-02-12', 12, 1.3], ['2019-02-12', 13, 1.0], ['2019-02-12', 14, 1.25], ['2019-02-12', 15, 2.47], ['2019-02-12', 16, 1.6], ['2019-02-12', 17, 1.04], ['2019-02-12', 18, 1.32], ['2019-02-12', 19, 1.26], ['2019-02-12', 20, 1.04], ['2019-02-12', 21, 1.13], ['2019-02-12', 22, 1.34], ['2019-02-12', 23, 1.74], ['2019-02-13', 0, 1.26], ['2019-02-13', 1, 2.37], ['2019-02-13', 2, 2.11], ['2019-02-13', 3, 1.9], ['2019-02-13', 4, 1.64], ['2019-02-13', 5, 1.39], ['2019-02-13', 6, 2.87], ['2019-02-13', 7, 2.96], ['2019-02-13', 8, 5.25], ['2019-02-13', 9, 1.44], ['2019-02-13', 10, 2.12], ['2019-02-13', 11, 1.15], ['2019-02-13', 12, 2.46], ['2019-02-13', 13, 1.45], ['2019-02-13', 14, 1.63], ['2019-02-13', 15, 2.41], ['2019-02-13', 16, 3.6], ['2019-02-13', 17, 2.47], ['2019-02-13', 18, 2.01], ['2019-02-13', 19, 1.82], ['2019-02-13', 20, 1.66], ['2019-02-13', 21, 1.35], ['2019-02-13', 22, 1.95], ['2019-02-13', 23, 1.2], ['2019-02-14', 0, 2.24], ['2019-02-14', 1, 1.0], ['2019-02-14', 2, 1.0], ['2019-02-14', 3, 1.48], ['2019-02-14', 4, 1.09], ['2019-02-14', 5, 1.0], ['2019-02-14', 6, 2.03], ['2019-02-14', 7, 1.23], ['2019-02-14', 8, 5.72], ['2019-02-14', 9, 1.03], ['2019-02-14', 10, 2.43], ['2019-02-14', 11, 1.91], ['2019-02-14', 12, 2.41], ['2019-02-14', 13, 1.41], ['2019-02-14', 14, 1.3], ['2019-02-14', 15, 2.44], ['2019-02-14', 16, 2.43], ['2019-02-14', 17, 2.36], ['2019-02-14', 18, 1.04], ['2019-02-14', 19, 1.7], ['2019-02-14', 20, 1.16], ['2019-02-14', 21, 2.02], ['2019-02-14', 22, 2.03], ['2019-02-14', 23, 1.15], ['2019-02-15', 0, 1.74], ['2019-02-15', 1, 2.34], ['2019-02-15', 2, 2.31], ['2019-02-15', 3, 1.66], ['2019-02-15', 4, 1.83], ['2019-02-15', 5, 2.65], ['2019-02-15', 6, 1.04], ['2019-02-15', 7, 2.93], ['2019-02-15', 8, 4.72], ['2019-02-15', 9, 1.2], ['2019-02-15', 10, 1.67], ['2019-02-15', 11, 1.34], ['2019-02-15', 12, 1.0], ['2019-02-15', 13, 3.0], ['2019-02-15', 14, 1.42], ['2019-02-15', 15, 1.26], ['2019-02-17', 16, 1.16], ['2019-02-17', 17, 1.62], ['2019-02-17', 18, 1.9], ['2019-02-17', 19, 2.87], ['2019-02-17', 20, 1.39], ['2019-02-17', 21, 1.46], ['2019-02-17', 22, 1.11], ['2019-02-17', 23, 2.76], ['2019-02-18', 0, 3.02], ['2019-02-18', 1, 1.84], ['2019-02-18', 2, 1.89], ['2019-02-18', 3, 1.07], ['2019-02-18', 4, 2.46], ['2019-02-18', 5, 2.33], ['2019-02-18', 6, 1.79], ['2019-02-18', 7, 1.57], ['2019-02-18', 8, 1.33], ['2019-02-18', 9, 1.08], ['2019-02-18', 10, 2.47], ['2019-02-18', 11, 1.72], ['2019-02-18', 12, 2.21], ['2019-02-18', 13, 1.8], ['2019-02-18', 14, 3.29], ['2019-02-18', 15, 4.65], ['2019-02-18', 16, 2.25], ['2019-02-18', 17, 1.04], ['2019-02-18', 18, 1.0], ['2019-02-18', 19, 3.4], ['2019-02-18', 20, 1.46], ['2019-02-18', 21, 2.49], ['2019-02-18', 22, 4.43], ['2019-02-18', 23, 1.55], ['2019-02-19', 0, 2.72], ['2019-02-19', 1, 1.01], ['2019-02-19', 2, 1.46], ['2019-02-19', 3, 1.96], ['2019-02-19', 4, 1.31], ['2019-02-19', 5, 1.44], ['2019-02-19', 6, 1.47], ['2019-02-19', 7, 1.9], ['2019-02-19', 8, 1.7], ['2019-02-19', 9, 1.48], ['2019-02-19', 10, 1.95], ['2019-02-19', 11, 1.15], ['2019-02-19', 12, 2.53], ['2019-02-19', 13, 1.39], ['2019-02-19', 14, 1.98], ['2019-02-19', 15, 1.05], ['2019-02-19', 16, 1.97], ['2019-02-19', 17, 1.83], ['2019-02-19', 18, 1.89], ['2019-02-19', 19, 2.53], ['2019-02-19', 20, 1.93], ['2019-02-19', 21, 1.85], ['2019-02-19', 22, 2.01], ['2019-02-19', 23, 1.26], ['2019-02-20', 0, 3.22], ['2019-02-20', 1, 4.83], ['2019-02-20', 2, 1.99], ['2019-02-20', 3, 1.0], ['2019-02-20', 4, 1.35], ['2019-02-20', 5, 1.76], ['2019-02-20', 6, 1.66], ['2019-02-20', 7, 1.59], ['2019-02-20', 8, 2.16], ['2019-02-20', 9, 1.45], ['2019-02-20', 10, 1.39], ['2019-02-20', 11, 1.47], ['2019-02-20', 12, 1.23], ['2019-02-20', 13, 1.56], ['2019-02-20', 14, 1.0], ['2019-02-20', 15, 1.82], ['2019-02-20', 16, 1.05], ['2019-02-20', 17, 1.0], ['2019-02-20', 18, 1.67], ['2019-02-20', 19, 4.19], ['2019-02-20', 20, 1.18], ['2019-02-20', 21, 2.62], ['2019-02-20', 22, 2.1], ['2019-02-20', 23, 1.0], ['2019-02-21', 0, 4.86], ['2019-02-21', 1, 1.6], ['2019-02-21', 2, 1.04], ['2019-02-21', 3, 1.11], ['2019-02-21', 4, 1.41], ['2019-02-21', 5, 1.81], ['2019-02-21', 6, 1.62], ['2019-02-21', 7, 1.33], ['2019-02-21', 8, 2.67], ['2019-02-21', 9, 1.57], ['2019-02-21', 10, 1.86], ['2019-02-21', 11, 1.05], ['2019-02-21', 12, 1.0], ['2019-02-21', 13, 1.36], ['2019-02-21', 14, 2.83], ['2019-02-21', 15, 2.33], ['2019-02-21', 16, 1.32], ['2019-02-21', 17, 1.0], ['2019-02-21', 18, 1.29], ['2019-02-21', 19, 1.0], ['2019-02-21', 20, 1.89], ['2019-02-21', 21, 1.64], ['2019-02-21', 22, 1.0], ['2019-02-21', 23, 1.78], ['2019-02-22', 0, 2.03], ['2019-02-22', 1, 2.85], ['2019-02-22', 2, 1.39], ['2019-02-22', 3, 1.43], ['2019-02-22', 4, 1.3], ['2019-02-22', 5, 1.4], ['2019-02-22', 6, 2.2], ['2019-02-22', 7, 2.14], ['2019-02-22', 8, 1.48], ['2019-02-22', 9, 1.58], ['2019-02-22', 10, 2.38], ['2019-02-22', 11, 1.37], ['2019-02-22', 12, 1.21], ['2019-02-22', 13, 1.9], ['2019-02-22', 14, 2.41], ['2019-02-22', 15, 1.3], ['2019-02-24', 16, 1.11], ['2019-02-24', 17, 1.0], ['2019-02-24', 18, 2.12], ['2019-02-24', 19, 1.6], ['2019-02-24', 20, 1.46], ['2019-02-24', 21, 2.72], ['2019-02-24', 22, 2.09], ['2019-02-24', 23, 1.32], ['2019-02-25', 0, 1.9], ['2019-02-25', 1, 1.65], ['2019-02-25', 2, 1.0], ['2019-02-25', 3, 1.18], ['2019-02-25', 4, 1.46], ['2019-02-25', 5, 3.17], ['2019-02-25', 6, 1.7], ['2019-02-25', 7, 1.5], ['2019-02-25', 8, 1.62], ['2019-02-25', 9, 1.42], ['2019-02-25', 10, 2.67], ['2019-02-25', 11, 2.1], ['2019-02-25', 12, 1.63], ['2019-02-25', 13, 1.6], ['2019-02-25', 14, 1.54], ['2019-02-25', 15, 1.41], ['2019-02-25', 16, 3.48], ['2019-02-25', 17, 1.0], ['2019-02-25', 18, 5.13], ['2019-02-25', 19, 1.13], ['2019-02-25', 20, 2.35], ['2019-02-25', 21, 1.37], ['2019-02-25', 22, 1.68], ['2019-02-25', 23, 2.83], ['2019-02-26', 0, 1.51], ['2019-02-26', 1, 2.1], ['2019-02-26', 2, 1.02], ['2019-02-26', 3, 1.51], ['2019-02-26', 4, 4.16], ['2019-02-26', 5, 1.3], ['2019-02-26', 6, 1.12], ['2019-02-26', 7, 1.28], ['2019-02-26', 8, 2.08], ['2019-02-26', 9, 1.08], ['2019-02-26', 10, 1.06], ['2019-02-26', 11, 1.21], ['2019-02-26', 12, 1.32], ['2019-02-26', 13, 1.15], ['2019-02-26', 14, 2.43], ['2019-02-26', 15, 1.18], ['2019-02-26', 16, 1.1], ['2019-02-26', 17, 1.04], ['2019-02-26', 18, 1.0], ['2019-02-26', 19, 2.73], ['2019-02-26', 20, 1.28], ['2019-02-26', 21, 1.19], ['2019-02-26', 22, 2.29], ['2019-02-26', 23, 2.0], ['2019-02-27', 0, 2.06], ['2019-02-27', 1, 1.85], ['2019-02-27', 2, 2.51], ['2019-02-27', 3, 1.44], ['2019-02-27', 4, 1.29], ['2019-02-27', 5, 1.57], ['2019-02-27', 6, 1.23], ['2019-02-27', 7, 2.15], ['2019-02-27', 8, 1.39], ['2019-02-27', 9, 2.17], ['2019-02-27', 10, 1.53], ['2019-02-27', 11, 3.34], ['2019-02-27', 12, 2.01], ['2019-02-27', 13, 1.72], ['2019-02-27', 14, 1.0], ['2019-02-27', 15, 1.45], ['2019-02-27', 16, 1.45], ['2019-02-27', 17, 1.0], ['2019-02-27', 18, 1.79], ['2019-02-27', 19, 1.15], ['2019-02-27', 20, 1.39], ['2019-02-27', 21, 1.0], ['2019-02-27', 22, 1.33], ['2019-02-27', 23, 1.13], ['2019-02-28', 0, 1.13], ['2019-02-28', 1, 1.73], ['2019-02-28', 2, 1.32], ['2019-02-28', 3, 1.04], ['2019-02-28', 4, 1.68], ['2019-02-28', 5, 2.15], ['2019-02-28', 6, 1.16], ['2019-02-28', 7, 1.67], ['2019-02-28', 8, 4.01], ['2019-02-28', 9, 1.3], ['2019-02-28', 10, 1.39], ['2019-02-28', 11, 1.96], ['2019-02-28', 12, 1.43], ['2019-02-28', 13, 2.19], ['2019-02-28', 14, 1.4], ['2019-02-28', 15, 1.99], ['2019-02-28', 16, 1.68], ['2019-02-28', 17, 1.1], ['2019-02-28', 18, 3.11], ['2019-02-28', 19, 1.06], ['2019-02-28', 20, 1.41], ['2019-02-28', 21, 1.65], ['2019-02-28', 22, 1.0], ['2019-02-28', 23, 2.34], ['2019-03-01', 0, 2.19], ['2019-03-01', 1, 3.6], ['2019-03-01', 2, 1.46], ['2019-03-01', 3, 1.39], ['2019-03-01', 4, 1.01], ['2019-03-01', 5, 2.39], ['2019-03-01', 6, 4.03], ['2019-03-01', 7, 1.99], ['2019-03-01', 8, 1.11], ['2019-03-01', 9, 2.86], ['2019-03-01', 10, 1.28], ['2019-03-01', 11, 1.17], ['2019-03-01', 12, 1.96], ['2019-03-01', 13, 1.0], ['2019-03-01', 14, 1.0], ['2019-03-01', 15, 3.1], ['2019-03-03', 16, 1.6], ['2019-03-03', 17, 1.03], ['2019-03-03', 18, 1.75], ['2019-03-03', 19, 1.19], ['2019-03-03', 20, 1.63], ['2019-03-03', 21, 3.34], ['2019-03-03', 22, 2.02], ['2019-03-03', 23, 1.2], ['2019-03-04', 0, 1.07], ['2019-03-04', 1, 3.36], ['2019-03-04', 2, 2.58], ['2019-03-04', 3, 1.61], ['2019-03-04', 4, 1.42], 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['2019-05-10', 1, 2.02], ['2019-05-10', 2, 2.28], ['2019-05-10', 3, 1.03], ['2019-05-10', 4, 1.83], ['2019-05-10', 5, 1.57], ['2019-05-10', 6, 1.88], ['2019-05-10', 7, 1.26], ['2019-05-10', 8, 3.29], ['2019-05-10', 9, 1.52], ['2019-05-10', 10, 1.56], ['2019-05-10', 11, 1.07], ['2019-05-10', 12, 1.0], ['2019-05-10', 13, 1.66], ['2019-05-10', 14, 1.66], ['2019-05-10', 15, 1.81], ['2019-05-12', 16, 2.45], ['2019-05-12', 17, 2.52], ['2019-05-12', 18, 1.13], ['2019-05-12', 19, 1.9], ['2019-05-12', 20, 2.14], ['2019-05-12', 21, 2.03], ['2019-05-12', 22, 1.33], ['2019-05-12', 23, 2.53], ['2019-05-13', 0, 1.0], ['2019-05-13', 1, 1.23], ['2019-05-13', 2, 1.45], ['2019-05-13', 3, 1.67], ['2019-05-13', 4, 2.28], ['2019-05-13', 5, 2.37], ['2019-05-13', 6, 1.35], ['2019-05-13', 7, 1.97], ['2019-05-13', 8, 1.52], ['2019-05-13', 9, 1.25], ['2019-05-13', 10, 2.6], ['2019-05-13', 11, 1.21], ['2019-05-13', 12, 1.49], ['2019-05-13', 13, 1.07], ['2019-05-13', 14, 1.24], ['2019-05-13', 15, 1.73], ['2019-05-13', 16, 4.5], ['2019-05-13', 17, 1.32], ['2019-05-13', 18, 4.62], ['2019-05-13', 19, 2.66], ['2019-05-13', 20, 1.0], ['2019-05-13', 21, 2.08], ['2019-05-13', 22, 2.63], ['2019-05-13', 23, 1.21], ['2019-05-14', 0, 1.0], ['2019-05-14', 1, 1.47], ['2019-05-14', 2, 2.14], ['2019-05-14', 3, 1.0], ['2019-05-14', 4, 1.58], ['2019-05-14', 5, 1.46], ['2019-05-14', 6, 2.08], ['2019-05-14', 7, 2.15], ['2019-05-14', 8, 1.12], ['2019-05-14', 9, 1.07], ['2019-05-14', 10, 1.06], ['2019-05-14', 11, 1.6], ['2019-05-14', 12, 1.73], ['2019-05-14', 13, 1.46], ['2019-05-14', 14, 1.77], ['2019-05-14', 15, 1.0], ['2019-05-14', 16, 2.71], ['2019-05-14', 17, 1.14], ['2019-05-14', 18, 1.0], ['2019-05-14', 19, 3.83], ['2019-05-14', 20, 1.56], ['2019-05-14', 21, 2.32], ['2019-05-14', 22, 1.0], ['2019-05-14', 23, 1.16], ['2019-05-15', 0, 1.33], ['2019-05-15', 1, 3.54], ['2019-05-15', 2, 1.63], ['2019-05-15', 3, 1.48], ['2019-05-15', 4, 1.14], ['2019-05-15', 5, 3.4], ['2019-05-15', 6, 2.03], ['2019-05-15', 7, 5.2], ['2019-05-15', 8, 1.79], ['2019-05-15', 9, 1.2], ['2019-05-15', 10, 1.0], ['2019-05-15', 11, 1.36], ['2019-05-15', 12, 1.03], ['2019-05-15', 13, 1.56], ['2019-05-15', 14, 2.14], ['2019-05-15', 15, 1.73], ['2019-05-15', 16, 1.13], ['2019-05-15', 17, 1.55], ['2019-05-15', 18, 3.81], ['2019-05-15', 19, 1.0], ['2019-05-15', 20, 1.0], ['2019-05-15', 21, 3.53], ['2019-05-15', 22, 1.58], ['2019-05-15', 23, 1.21], ['2019-05-16', 0, 1.42], ['2019-05-16', 1, 2.76], ['2019-05-16', 2, 1.0], ['2019-05-16', 3, 1.73], ['2019-05-16', 4, 1.84], ['2019-05-16', 5, 1.56], ['2019-05-16', 6, 1.35], ['2019-05-16', 7, 2.75], ['2019-05-16', 8, 3.24], ['2019-05-16', 9, 1.29], ['2019-05-16', 10, 1.0], ['2019-05-16', 11, 1.0], ['2019-05-16', 12, 1.12], ['2019-05-16', 13, 1.74], ['2019-05-16', 14, 1.44], ['2019-05-16', 15, 2.08], ['2019-05-16', 16, 1.35], ['2019-05-16', 17, 1.0], ['2019-05-16', 18, 1.61], ['2019-05-16', 19, 1.74], ['2019-05-16', 20, 1.93], ['2019-05-16', 21, 1.82], ['2019-05-16', 22, 1.92], ['2019-05-16', 23, 1.51], ['2019-05-17', 0, 1.35], ['2019-05-17', 1, 3.37], ['2019-05-17', 2, 2.32], ['2019-05-17', 3, 1.67], ['2019-05-17', 4, 1.0], ['2019-05-17', 5, 1.46], ['2019-05-17', 6, 1.29], ['2019-05-17', 7, 1.66], ['2019-05-17', 8, 1.35], ['2019-05-17', 9, 1.18], ['2019-05-17', 10, 1.38], ['2019-05-17', 11, 1.91], ['2019-05-17', 12, 1.09], ['2019-05-17', 13, 1.04], ['2019-05-17', 14, 1.88], ['2019-05-17', 15, 1.0], ['2019-05-19', 16, 1.1], ['2019-05-19', 17, 1.94], ['2019-05-19', 18, 1.04], ['2019-05-19', 19, 1.45], ['2019-05-19', 20, 1.0], ['2019-05-19', 21, 1.74], ['2019-05-19', 22, 3.68], ['2019-05-19', 23, 1.48], ['2019-05-20', 0, 1.2], ['2019-05-20', 1, 1.35], ['2019-05-20', 2, 1.08], ['2019-05-20', 3, 2.26], ['2019-05-20', 4, 2.39], ['2019-05-20', 5, 2.57], ['2019-05-20', 6, 1.02], ['2019-05-20', 7, 1.86], ['2019-05-20', 8, 1.0], ['2019-05-20', 9, 1.28], ['2019-05-20', 10, 1.0], ['2019-05-20', 11, 1.38], ['2019-05-20', 12, 1.01], ['2019-05-20', 13, 1.36], ['2019-05-20', 14, 1.3], ['2019-05-20', 15, 1.26], ['2019-05-20', 16, 1.03], ['2019-05-20', 17, 1.01], ['2019-05-20', 18, 1.0], ['2019-05-20', 19, 5.0], ['2019-05-20', 20, 1.53], ['2019-05-20', 21, 2.68], ['2019-05-20', 22, 1.8], ['2019-05-20', 23, 1.5], ['2019-05-21', 0, 1.3], ['2019-05-21', 1, 1.98], ['2019-05-21', 2, 1.65], ['2019-05-21', 3, 2.25], ['2019-05-21', 4, 1.46], ['2019-05-21', 5, 1.0], ['2019-05-21', 6, 2.14], ['2019-05-21', 7, 1.93], ['2019-05-21', 8, 1.0], ['2019-05-21', 9, 2.77], ['2019-05-21', 10, 8.12], ['2019-05-21', 11, 2.37], ['2019-05-21', 12, 1.0], ['2019-05-21', 13, 1.28], ['2019-05-21', 14, 1.0], ['2019-05-21', 15, 1.18], ['2019-05-21', 16, 2.6], ['2019-05-21', 17, 1.0], ['2019-05-21', 18, 1.65], ['2019-05-21', 19, 1.31], ['2019-05-21', 20, 1.42], ['2019-05-21', 21, 1.35], ['2019-05-21', 22, 3.87], ['2019-05-21', 23, 1.4], ['2019-05-22', 0, 2.95], ['2019-05-22', 1, 2.14], ['2019-05-22', 2, 1.53], ['2019-05-22', 3, 1.15], ['2019-05-22', 4, 1.8], ['2019-05-22', 5, 2.12], ['2019-05-22', 6, 1.0], ['2019-05-22', 7, 1.0], ['2019-05-22', 8, 1.87], ['2019-05-22', 9, 2.37], ['2019-05-22', 10, 2.09], ['2019-05-22', 11, 1.58], ['2019-05-22', 12, 1.0], ['2019-05-22', 13, 3.78], ['2019-05-22', 14, 1.06], ['2019-05-22', 15, 2.87], ['2019-05-22', 16, 1.94], ['2019-05-22', 17, 1.27], ['2019-05-22', 18, 1.79], ['2019-05-22', 19, 1.02], ['2019-05-22', 20, 1.0], ['2019-05-22', 21, 1.0], ['2019-05-22', 22, 1.0], ['2019-05-22', 23, 1.0], ['2019-05-23', 0, 1.38], ['2019-05-23', 1, 1.57], ['2019-05-23', 2, 2.69], ['2019-05-23', 3, 1.04], ['2019-05-23', 4, 1.31], ['2019-05-23', 5, 1.83], ['2019-05-23', 6, 1.2], ['2019-05-23', 7, 1.96], ['2019-05-23', 8, 1.77], ['2019-05-23', 9, 1.33], ['2019-05-23', 10, 1.36], ['2019-05-23', 11, 1.5], ['2019-05-23', 12, 2.61], ['2019-05-23', 13, 1.26], ['2019-05-23', 14, 1.17], ['2019-05-23', 15, 1.69], ['2019-05-23', 16, 1.37], ['2019-05-23', 17, 1.05], ['2019-05-23', 18, 1.27], ['2019-05-23', 19, 1.88], ['2019-05-23', 20, 2.29], ['2019-05-23', 21, 1.0], ['2019-05-23', 22, 1.89], ['2019-05-23', 23, 1.79], ['2019-05-24', 0, 1.47], ['2019-05-24', 1, 2.52], ['2019-05-24', 2, 1.41], ['2019-05-24', 3, 1.95], ['2019-05-24', 4, 2.13], ['2019-05-24', 5, 1.33], ['2019-05-24', 6, 1.8], ['2019-05-24', 7, 3.34], ['2019-05-24', 8, 2.2], ['2019-05-24', 9, 1.5], ['2019-05-24', 10, 2.16], ['2019-05-24', 11, 1.83], ['2019-05-24', 12, 1.45], ['2019-05-24', 13, 1.0], ['2019-05-24', 14, 1.0], ['2019-05-24', 15, 1.16], ['2019-05-26', 16, 1.36], ['2019-05-26', 17, 1.05], ['2019-05-26', 18, 1.31], ['2019-05-26', 19, 2.25], ['2019-05-26', 20, 1.11], ['2019-05-26', 21, 1.93], ['2019-05-26', 22, 1.61], ['2019-05-26', 23, 3.64], ['2019-05-27', 0, 7.95], ['2019-05-27', 1, 1.28], ['2019-05-27', 2, 2.66], ['2019-05-27', 3, 1.53], ['2019-05-27', 4, 1.04], ['2019-05-27', 5, 1.43], ['2019-05-27', 6, 1.29], ['2019-05-27', 7, 1.96], ['2019-05-27', 8, 1.06], ['2019-05-27', 9, 3.72], ['2019-05-27', 10, 1.49], ['2019-05-27', 11, 1.9], ['2019-05-27', 12, 1.0], ['2019-05-27', 13, 1.0], ['2019-05-27', 14, 1.16], ['2019-05-27', 15, 6.86], ['2019-05-27', 16, 11.5], ['2019-05-27', 17, 1.96], ['2019-05-27', 18, 1.0], ['2019-05-27', 19, 1.03], ['2019-05-27', 20, 1.28], ['2019-05-27', 21, 2.94], ['2019-05-27', 22, 1.59], ['2019-05-27', 23, 1.49], ['2019-05-28', 0, 4.23], ['2019-05-28', 1, 2.04], ['2019-05-28', 2, 2.35], ['2019-05-28', 3, 1.03], ['2019-05-28', 4, 1.78], ['2019-05-28', 5, 2.38], ['2019-05-28', 6, 1.26], ['2019-05-28', 7, 2.66], ['2019-05-28', 8, 1.92], ['2019-05-28', 9, 1.18], ['2019-05-28', 10, 3.59], ['2019-05-28', 11, 1.27], ['2019-05-28', 12, 2.03], ['2019-05-28', 13, 1.7], ['2019-05-28', 14, 3.72], ['2019-05-28', 15, 1.2], ['2019-05-28', 16, 2.47], ['2019-05-28', 17, 1.17], ['2019-05-28', 18, 1.0], ['2019-05-28', 19, 2.04], ['2019-05-28', 20, 1.13], ['2019-05-28', 21, 1.54], ['2019-05-28', 22, 1.34], ['2019-05-28', 23, 1.2], ['2019-05-29', 0, 1.38], ['2019-05-29', 1, 2.61], ['2019-05-29', 2, 1.94], ['2019-05-29', 3, 1.76], ['2019-05-29', 4, 1.19], ['2019-05-29', 5, 2.05], ['2019-05-29', 6, 1.4], ['2019-05-29', 7, 1.15], ['2019-05-29', 8, 1.55], ['2019-05-29', 9, 1.53], ['2019-05-29', 10, 1.01], ['2019-05-29', 11, 1.17], ['2019-05-29', 12, 1.77], ['2019-05-29', 13, 1.37], ['2019-05-29', 14, 1.93], ['2019-05-29', 15, 1.77], ['2019-05-29', 16, 1.77], ['2019-05-29', 17, 1.0], ['2019-05-29', 18, 2.18], ['2019-05-29', 19, 1.56], ['2019-05-29', 20, 1.1], ['2019-05-29', 21, 1.25], ['2019-05-29', 22, 1.6], ['2019-05-29', 23, 1.29], ['2019-05-30', 0, 2.71], ['2019-05-30', 1, 1.46], ['2019-05-30', 2, 1.31], ['2019-05-30', 3, 1.12], ['2019-05-30', 4, 1.33], ['2019-05-30', 5, 3.01], ['2019-05-30', 6, 1.72], ['2019-05-30', 7, 1.35], ['2019-05-30', 8, 2.87], ['2019-05-30', 9, 2.32], ['2019-05-30', 10, 1.41], ['2019-05-30', 11, 1.47], ['2019-05-30', 12, 1.22], ['2019-05-30', 13, 1.33], ['2019-05-30', 14, 3.43], ['2019-05-30', 15, 1.0], ['2019-05-30', 16, 1.44], ['2019-05-30', 17, 1.53], ['2019-05-30', 18, 2.13], ['2019-05-30', 19, 7.29], ['2019-05-30', 20, 1.98], ['2019-05-30', 21, 1.0], ['2019-05-30', 22, 1.27], ['2019-05-30', 23, 2.94], ['2019-05-31', 0, 2.47], ['2019-05-31', 1, 1.39], ['2019-05-31', 2, 1.57], ['2019-05-31', 3, 1.82], ['2019-05-31', 4, 1.0], ['2019-05-31', 5, 1.28], ['2019-05-31', 6, 1.45], ['2019-05-31', 7, 1.55], ['2019-05-31', 8, 2.0], ['2019-05-31', 9, 1.57], ['2019-05-31', 10, 2.87], ['2019-05-31', 11, 1.68], ['2019-05-31', 12, 1.28], ['2019-05-31', 13, 1.93], ['2019-05-31', 14, 1.06], ['2019-05-31', 15, 1.37], ['2019-06-02', 16, 1.42]]

import pandas as pd
from datetime import timedelta

class CalibratedTransdimensionalComputer(QCAlgorithm):

    def Initialize(self):
        self.SetStartDate(2019, 2, 1)  # Set Start Date
        self.SetEndDate(2019, 5, 31)  # Set End Date
        self.SetCash(2500)  # Set Strategy Cash
        self.AddForex("EURUSD", Resolution.Minute, Market.Oanda)
        self.Securities["EURUSD"].SetLeverage(100.0)
        self.p = [['2019-02-01', 0, 2.73], ['2019-02-01', 1, 2.07], ['2019-02-01', 2, 1.1], ['2019-02-01', 3, 1.11], ['2019-02-01', 4, 1.7], ['2019-02-01', 5, 1.08], ['2019-02-01', 6, 1.83], ['2019-02-01', 7, 1.3], ['2019-02-01', 8, 6.18], ['2019-02-01', 9, 1.1], ['2019-02-01', 10, 1.27], ['2019-02-01', 11, 2.17], ['2019-02-01', 12, 1.83], ['2019-02-01', 13, 1.14], ['2019-02-01', 14, 1.26], ['2019-02-01', 15, 1.19], ['2019-02-03', 16, 2.18], ['2019-02-03', 17, 1.0], ['2019-02-03', 18, 1.0], ['2019-02-03', 19, 1.31], ['2019-02-03', 20, 1.87], ['2019-02-03', 21, 4.14], ['2019-02-03', 22, 2.2], ['2019-02-03', 23, 3.3], ['2019-02-04', 0, 1.0], ['2019-02-04', 1, 2.3], ['2019-02-04', 2, 2.1], ['2019-02-04', 3, 1.0], ['2019-02-04', 4, 1.94], ['2019-02-04', 5, 1.57], ['2019-02-04', 6, 1.77], ['2019-02-04', 7, 3.86], ['2019-02-04', 8, 1.63], ['2019-02-04', 9, 1.48], ['2019-02-04', 10, 1.22], ['2019-02-04', 11, 1.84], ['2019-02-04', 12, 1.52], ['2019-02-04', 13, 1.09], ['2019-02-04', 14, 1.0], ['2019-02-04', 15, 1.39], ['2019-02-04', 16, 1.8], ['2019-02-04', 17, 2.15], ['2019-02-04', 18, 1.32], ['2019-02-04', 19, 1.66], ['2019-02-04', 20, 2.3], ['2019-02-04', 21, 1.39], ['2019-02-04', 22, 2.03], ['2019-02-04', 23, 1.09], ['2019-02-05', 0, 1.24], ['2019-02-05', 1, 1.0], ['2019-02-05', 2, 1.14], ['2019-02-05', 3, 1.29], ['2019-02-05', 4, 1.0], ['2019-02-05', 5, 1.46], ['2019-02-05', 6, 1.63], ['2019-02-05', 7, 1.83], ['2019-02-05', 8, 2.5], ['2019-02-05', 9, 4.44], ['2019-02-05', 10, 1.0], ['2019-02-05', 11, 1.0], ['2019-02-05', 12, 2.31], ['2019-02-05', 13, 1.0], ['2019-02-05', 14, 1.78], ['2019-02-05', 15, 1.63], ['2019-02-05', 16, 1.8], ['2019-02-05', 17, 1.0], ['2019-02-05', 18, 3.23], ['2019-02-05', 19, 1.0], ['2019-02-05', 20, 3.44], ['2019-02-05', 21, 1.88], ['2019-02-05', 22, 2.22], ['2019-02-05', 23, 1.31], ['2019-02-06', 0, 5.0], ['2019-02-06', 1, 1.74], ['2019-02-06', 2, 1.0], ['2019-02-06', 3, 1.81], ['2019-02-06', 4, 1.72], ['2019-02-06', 5, 1.98], ['2019-02-06', 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['2019-05-15', 7, 5.2], ['2019-05-15', 8, 1.79], ['2019-05-15', 9, 1.2], ['2019-05-15', 10, 1.0], ['2019-05-15', 11, 1.36], ['2019-05-15', 12, 1.03], ['2019-05-15', 13, 1.56], ['2019-05-15', 14, 2.14], ['2019-05-15', 15, 1.73], ['2019-05-15', 16, 1.13], ['2019-05-15', 17, 1.55], ['2019-05-15', 18, 3.81], ['2019-05-15', 19, 1.0], ['2019-05-15', 20, 1.0], ['2019-05-15', 21, 3.53], ['2019-05-15', 22, 1.58], ['2019-05-15', 23, 1.21], ['2019-05-16', 0, 1.42], ['2019-05-16', 1, 2.76], ['2019-05-16', 2, 1.0], ['2019-05-16', 3, 1.73], ['2019-05-16', 4, 1.84], ['2019-05-16', 5, 1.56], ['2019-05-16', 6, 1.35], ['2019-05-16', 7, 2.75], ['2019-05-16', 8, 3.24], ['2019-05-16', 9, 1.29], ['2019-05-16', 10, 1.0], ['2019-05-16', 11, 1.0], ['2019-05-16', 12, 1.12], ['2019-05-16', 13, 1.74], ['2019-05-16', 14, 1.44], ['2019-05-16', 15, 2.08], ['2019-05-16', 16, 1.35], ['2019-05-16', 17, 1.0], ['2019-05-16', 18, 1.61], ['2019-05-16', 19, 1.74], ['2019-05-16', 20, 1.93], ['2019-05-16', 21, 1.82], ['2019-05-16', 22, 1.92], ['2019-05-16', 23, 1.51], ['2019-05-17', 0, 1.35], ['2019-05-17', 1, 3.37], ['2019-05-17', 2, 2.32], ['2019-05-17', 3, 1.67], ['2019-05-17', 4, 1.0], ['2019-05-17', 5, 1.46], ['2019-05-17', 6, 1.29], ['2019-05-17', 7, 1.66], ['2019-05-17', 8, 1.35], ['2019-05-17', 9, 1.18], ['2019-05-17', 10, 1.38], ['2019-05-17', 11, 1.91], ['2019-05-17', 12, 1.09], ['2019-05-17', 13, 1.04], ['2019-05-17', 14, 1.88], ['2019-05-17', 15, 1.0], ['2019-05-19', 16, 1.1], ['2019-05-19', 17, 1.94], ['2019-05-19', 18, 1.04], ['2019-05-19', 19, 1.45], ['2019-05-19', 20, 1.0], ['2019-05-19', 21, 1.74], ['2019-05-19', 22, 3.68], ['2019-05-19', 23, 1.48], ['2019-05-20', 0, 1.2], ['2019-05-20', 1, 1.35], ['2019-05-20', 2, 1.08], ['2019-05-20', 3, 2.26], ['2019-05-20', 4, 2.39], ['2019-05-20', 5, 2.57], ['2019-05-20', 6, 1.02], ['2019-05-20', 7, 1.86], ['2019-05-20', 8, 1.0], ['2019-05-20', 9, 1.28], ['2019-05-20', 10, 1.0], ['2019-05-20', 11, 1.38], ['2019-05-20', 12, 1.01], ['2019-05-20', 13, 1.36], ['2019-05-20', 14, 1.3], ['2019-05-20', 15, 1.26], ['2019-05-20', 16, 1.03], ['2019-05-20', 17, 1.01], ['2019-05-20', 18, 1.0], ['2019-05-20', 19, 5.0], ['2019-05-20', 20, 1.53], ['2019-05-20', 21, 2.68], ['2019-05-20', 22, 1.8], ['2019-05-20', 23, 1.5], ['2019-05-21', 0, 1.3], ['2019-05-21', 1, 1.98], ['2019-05-21', 2, 1.65], ['2019-05-21', 3, 2.25], ['2019-05-21', 4, 1.46], ['2019-05-21', 5, 1.0], ['2019-05-21', 6, 2.14], ['2019-05-21', 7, 1.93], ['2019-05-21', 8, 1.0], ['2019-05-21', 9, 2.77], ['2019-05-21', 10, 8.12], ['2019-05-21', 11, 2.37], ['2019-05-21', 12, 1.0], ['2019-05-21', 13, 1.28], ['2019-05-21', 14, 1.0], ['2019-05-21', 15, 1.18], ['2019-05-21', 16, 2.6], ['2019-05-21', 17, 1.0], ['2019-05-21', 18, 1.65], ['2019-05-21', 19, 1.31], ['2019-05-21', 20, 1.42], ['2019-05-21', 21, 1.35], ['2019-05-21', 22, 3.87], ['2019-05-21', 23, 1.4], ['2019-05-22', 0, 2.95], ['2019-05-22', 1, 2.14], ['2019-05-22', 2, 1.53], ['2019-05-22', 3, 1.15], ['2019-05-22', 4, 1.8], ['2019-05-22', 5, 2.12], ['2019-05-22', 6, 1.0], ['2019-05-22', 7, 1.0], ['2019-05-22', 8, 1.87], ['2019-05-22', 9, 2.37], ['2019-05-22', 10, 2.09], ['2019-05-22', 11, 1.58], ['2019-05-22', 12, 1.0], ['2019-05-22', 13, 3.78], ['2019-05-22', 14, 1.06], ['2019-05-22', 15, 2.87], ['2019-05-22', 16, 1.94], ['2019-05-22', 17, 1.27], ['2019-05-22', 18, 1.79], ['2019-05-22', 19, 1.02], ['2019-05-22', 20, 1.0], ['2019-05-22', 21, 1.0], ['2019-05-22', 22, 1.0], ['2019-05-22', 23, 1.0], ['2019-05-23', 0, 1.38], ['2019-05-23', 1, 1.57], ['2019-05-23', 2, 2.69], ['2019-05-23', 3, 1.04], ['2019-05-23', 4, 1.31], ['2019-05-23', 5, 1.83], ['2019-05-23', 6, 1.2], ['2019-05-23', 7, 1.96], ['2019-05-23', 8, 1.77], ['2019-05-23', 9, 1.33], ['2019-05-23', 10, 1.36], ['2019-05-23', 11, 1.5], ['2019-05-23', 12, 2.61], ['2019-05-23', 13, 1.26], ['2019-05-23', 14, 1.17], ['2019-05-23', 15, 1.69], ['2019-05-23', 16, 1.37], ['2019-05-23', 17, 1.05], ['2019-05-23', 18, 1.27], ['2019-05-23', 19, 1.88], ['2019-05-23', 20, 2.29], ['2019-05-23', 21, 1.0], ['2019-05-23', 22, 1.89], ['2019-05-23', 23, 1.79], ['2019-05-24', 0, 1.47], ['2019-05-24', 1, 2.52], ['2019-05-24', 2, 1.41], ['2019-05-24', 3, 1.95], ['2019-05-24', 4, 2.13], ['2019-05-24', 5, 1.33], ['2019-05-24', 6, 1.8], ['2019-05-24', 7, 3.34], ['2019-05-24', 8, 2.2], ['2019-05-24', 9, 1.5], ['2019-05-24', 10, 2.16], ['2019-05-24', 11, 1.83], ['2019-05-24', 12, 1.45], ['2019-05-24', 13, 1.0], ['2019-05-24', 14, 1.0], ['2019-05-24', 15, 1.16], ['2019-05-26', 16, 1.36], ['2019-05-26', 17, 1.05], ['2019-05-26', 18, 1.31], ['2019-05-26', 19, 2.25], ['2019-05-26', 20, 1.11], ['2019-05-26', 21, 1.93], ['2019-05-26', 22, 1.61], ['2019-05-26', 23, 3.64], ['2019-05-27', 0, 7.95], ['2019-05-27', 1, 1.28], ['2019-05-27', 2, 2.66], ['2019-05-27', 3, 1.53], ['2019-05-27', 4, 1.04], ['2019-05-27', 5, 1.43], ['2019-05-27', 6, 1.29], ['2019-05-27', 7, 1.96], ['2019-05-27', 8, 1.06], ['2019-05-27', 9, 3.72], ['2019-05-27', 10, 1.49], ['2019-05-27', 11, 1.9], ['2019-05-27', 12, 1.0], ['2019-05-27', 13, 1.0], ['2019-05-27', 14, 1.16], ['2019-05-27', 15, 6.86], ['2019-05-27', 16, 11.5], ['2019-05-27', 17, 1.96], ['2019-05-27', 18, 1.0], ['2019-05-27', 19, 1.03], ['2019-05-27', 20, 1.28], ['2019-05-27', 21, 2.94], ['2019-05-27', 22, 1.59], ['2019-05-27', 23, 1.49], ['2019-05-28', 0, 4.23], ['2019-05-28', 1, 2.04], ['2019-05-28', 2, 2.35], ['2019-05-28', 3, 1.03], ['2019-05-28', 4, 1.78], ['2019-05-28', 5, 2.38], ['2019-05-28', 6, 1.26], ['2019-05-28', 7, 2.66], ['2019-05-28', 8, 1.92], ['2019-05-28', 9, 1.18], ['2019-05-28', 10, 3.59], ['2019-05-28', 11, 1.27], ['2019-05-28', 12, 2.03], ['2019-05-28', 13, 1.7], ['2019-05-28', 14, 3.72], ['2019-05-28', 15, 1.2], ['2019-05-28', 16, 2.47], ['2019-05-28', 17, 1.17], ['2019-05-28', 18, 1.0], ['2019-05-28', 19, 2.04], ['2019-05-28', 20, 1.13], ['2019-05-28', 21, 1.54], ['2019-05-28', 22, 1.34], ['2019-05-28', 23, 1.2], ['2019-05-29', 0, 1.38], ['2019-05-29', 1, 2.61], ['2019-05-29', 2, 1.94], ['2019-05-29', 3, 1.76], ['2019-05-29', 4, 1.19], ['2019-05-29', 5, 2.05], ['2019-05-29', 6, 1.4], ['2019-05-29', 7, 1.15], ['2019-05-29', 8, 1.55], ['2019-05-29', 9, 1.53], ['2019-05-29', 10, 1.01], ['2019-05-29', 11, 1.17], ['2019-05-29', 12, 1.77], ['2019-05-29', 13, 1.37], ['2019-05-29', 14, 1.93], ['2019-05-29', 15, 1.77], ['2019-05-29', 16, 1.77], ['2019-05-29', 17, 1.0], ['2019-05-29', 18, 2.18], ['2019-05-29', 19, 1.56], ['2019-05-29', 20, 1.1], ['2019-05-29', 21, 1.25], ['2019-05-29', 22, 1.6], ['2019-05-29', 23, 1.29], ['2019-05-30', 0, 2.71], ['2019-05-30', 1, 1.46], ['2019-05-30', 2, 1.31], ['2019-05-30', 3, 1.12], ['2019-05-30', 4, 1.33], ['2019-05-30', 5, 3.01], ['2019-05-30', 6, 1.72], ['2019-05-30', 7, 1.35], ['2019-05-30', 8, 2.87], ['2019-05-30', 9, 2.32], ['2019-05-30', 10, 1.41], ['2019-05-30', 11, 1.47], ['2019-05-30', 12, 1.22], ['2019-05-30', 13, 1.33], ['2019-05-30', 14, 3.43], ['2019-05-30', 15, 1.0], ['2019-05-30', 16, 1.44], ['2019-05-30', 17, 1.53], ['2019-05-30', 18, 2.13], ['2019-05-30', 19, 7.29], ['2019-05-30', 20, 1.98], ['2019-05-30', 21, 1.0], ['2019-05-30', 22, 1.27], ['2019-05-30', 23, 2.94], ['2019-05-31', 0, 2.47], ['2019-05-31', 1, 1.39], ['2019-05-31', 2, 1.57], ['2019-05-31', 3, 1.82], ['2019-05-31', 4, 1.0], ['2019-05-31', 5, 1.28], ['2019-05-31', 6, 1.45], ['2019-05-31', 7, 1.55], ['2019-05-31', 8, 2.0], ['2019-05-31', 9, 1.57], ['2019-05-31', 10, 2.87], ['2019-05-31', 11, 1.68], ['2019-05-31', 12, 1.28], ['2019-05-31', 13, 1.93], ['2019-05-31', 14, 1.06], ['2019-05-31', 15, 1.37], ['2019-06-02', 16, 1.42]]
        
        self.p = pd.DataFrame(self.p)
        self.p[0] = pd.to_datetime(self.p[0])
        self.p[0] = self.p[0].dt.date
        self.soft_entry = 0.0001
        self.n_min = 20
        self.or_l = 1000
        self.or_h = 0
        self.or_t = 0
        self.llo = 0
        self.slo = 0
        self.sl_llo = 0
        self.sl_slo = 0
        self.last_h = 80
        self.tre_b = 2
        self.tre_m = 1.5#1.5
        
        self.do_plot = True
        self.lev = 1
        self.pos_size = 2500
        
        
        self.mean = True
        self.breakout = False
        self.use_slm = True
        self.use_slb = False
        
        # Create a custom volume chart
        TradeChart = Chart("Prices", ChartType.Stacked)
        TradeChart.AddSeries(Series('OR_h', SeriesType.Line))
        TradeChart.AddSeries(Series('OR_l', SeriesType.Line))
        TradeChart.AddSeries(Series('High', SeriesType.Line))
        TradeChart.AddSeries(Series('Low', SeriesType.Line))
        TradeChart.AddSeries(Series('Limit_Short', SeriesType.Scatter))
        TradeChart.AddSeries(Series('Limit_Long', SeriesType.Scatter))
        
        if self.do_plot: self.AddChart(TradeChart)
        
        
    def OnData(self, data):
        '''OnData event is the primary entry point for your algorithm. Each new data point will be pumped in here.
            Arguments:
                data: Slice object keyed by symbol containing the stock data
        '''
        cur_t = data["EURUSD"].Time
        cur_d = cur_t.date()
        cur_h = cur_t.hour
        cur_m = cur_t.minute
        
        
        cur_row = self.p[((self.p[0]==cur_d) & (self.p[1]==cur_h))]
        
        if self.last_h != cur_h:
            self.or_l = 1000
            self.or_h = 0    
            self.last_h = cur_h
            
        #statuses: 0-New,1-Submitted, 2-Partially Filled, 3- Filled
        #https://www.quantconnect.com/docs/algorithm-reference/trading-and-orders#
        
        #self.pos_size = self.Portfolio.Cash * self.lev
        self.pos_size = 2500 * self.lev
        
        if(cur_m <= self.n_min):
            if self.Portfolio['EURUSD'].Invested:
                self.Liquidate()
            if(data['EURUSD'].Low<self.or_l):
                self.or_l = data['EURUSD'].Low
            if(data['EURUSD'].High>self.or_h):
                self.or_h = data['EURUSD'].High
            
        #at minute n_min, placing orders for breakout or mean revert strategy
        if(cur_row.__len__() == 1): # doar pt orele din colectia noastra
            if(cur_m == self.n_min): # 
                self.or_t = self.or_h - self.or_l
                if(cur_row.iloc[-1][2]>self.tre_b and self.breakout==True): # P is more than 1.5, implementing break
                    #self.llo = self.StopLimitOrder('EURUSD',self.pos_size,round(self.or_h + self.soft_entry,5),round(self.or_l - self.soft_entry+0.00001,5),"limit order above OR") #long limit order
                    #self.slo = self.StopLimitOrder('EURUSD',-self.pos_size,round(self.or_l - self.soft_entry,5),round(self.or_l - self.soft_entry-0.00001,5),"limit order below OR") #short limit order
                    self.llo = self.StopMarketOrder('EURUSD',self.pos_size,round(self.or_h + self.soft_entry*0,5),"limit order above OR") #long limit order
                    self.slo = self.StopMarketOrder('EURUSD',-self.pos_size,round(self.or_l - self.soft_entry*0,5),"limit order below OR") #short limit order
                    
                if(cur_row.iloc[-1][2]<self.tre_m and self.mean==True): # P is more than 1.5, implementing return to OR #
                    self.llo = self.LimitOrder('EURUSD',self.pos_size,round(self.or_l - self.soft_entry,5),"limit order below OR") #long limit order
                    self.slo = self.LimitOrder('EURUSD',-self.pos_size,round(self.or_h + self.soft_entry,5),"limit order below OR") #short limit order
            
            
            #for each minute, check if orders are filled and cancel the other one
            #do this differrently if the strategy is mean revert or breakout
            #Breakout:
            if self.llo != 0 and cur_row.iloc[-1][2]>self.tre_b and self.breakout==True:  
                if self.llo.Status == 3 and self.slo.Status == 1: #long order filled, canceling short limit order and setting SL
                    #self.slo.Cancel("Other one filled")
                    if self.use_slb == True:#create SL orders
                        if self.sl_llo == 0:
                            self.sl_llo = self.StopMarketOrder('EURUSD',-self.pos_size,round(self.or_l - self.soft_entry + self.or_t/2,5),"limit order within OR") #SL for long limit order, within OR
                        else: 
                            if self.sl_llo.Status == OrderStatus.Canceled:
                                self.sl_llo = self.StopMarketOrder('EURUSD',-self.pos_size,round(self.or_l - self.soft_entry + self.or_t/2,5),"limit order within OR") #SL for long limit order, within OR
                if self.slo.Status == 3 and self.llo.Status == 1: #short order filled, canceling long limit order and it SL
                    #self.llo.Cancel("Other one filled")  
                    if self.use_slb == True:#create SL orders
                        if self.sl_slo == 0:
                            self.sl_slo = self.StopMarketOrder('EURUSD',self.pos_size,round(self.or_h + self.soft_entry - self.or_t/2,5),"limit order within OR") #SL for short limit order, within OR
                        else:
                            if self.sl_slo.Status == OrderStatus.Canceled: 
                                self.sl_slo = self.StopMarketOrder('EURUSD',self.pos_size,round(self.or_h + self.soft_entry - self.or_t/2,5),"limit order within OR") #SL for short limit order, within OR
            #for each minute, check if orders are filled and cancel the other one
            #do this differrently if the strategy is mean revert or breakout  
            #Mean REvert
            if self.llo != 0 and cur_row.iloc[-1][2]<self.tre_m and self.mean==True:  
                if self.or_t > 30/10000:
                    self.or_t = 30/10000
                if self.llo.Status == 3 and self.slo.Status == 1: #long order filled, canceling short limit order and setting SL
                    #self.slo.Cancel("Other one filled")
                    if self.use_slm == True:#create SL orders
                        if self.sl_llo == 0:
                            self.sl_llo = self.StopMarketOrder('EURUSD',-self.pos_size,round(self.or_l - self.soft_entry - self.or_t/2,5),"limit order below OR") #SL for long limit order, below OR
                        else: 
                            if self.sl_llo.Status == OrderStatus.Canceled:
                                self.sl_llo = self.StopMarketOrder('EURUSD',-self.pos_size,round(self.or_l - self.soft_entry - self.or_t/2,5),"limit order below OR") #SL for long limit order, below OR
                if self.slo.Status == 3 and self.llo.Status == 1: #short order filled, canceling long limit order and it SL
                    #self.llo.Cancel("Other one filled")  
                    if self.use_slm == True:#create SL orders
                        if self.sl_slo == 0:
                            self.sl_slo = self.StopMarketOrder('EURUSD',self.pos_size,round(self.or_h + self.soft_entry + self.or_t/2,5),"limit order below OR") #SL for short limit order, above OR
                        else:
                            if self.sl_slo.Status == OrderStatus.Canceled:
                                self.sl_slo = self.StopMarketOrder('EURUSD',self.pos_size,round(self.or_h + self.soft_entry + self.or_t/2,5),"limit order below OR") #SL for short limit order, above OR
            if(cur_m == 59):
                #hour is ending, cancelling all open orders
                if self.llo != 0:  
                    self.slo.Cancel("End of Hour")
                    self.llo.Cancel("End of Hour")
                    if self.use_slb == True or self.use_slm == True:
                        if self.sl_slo !=0: 
                            self.sl_slo.Cancel("End of Hour")
                            if self.sl_slo.Status == OrderStatus.Filled:
                                self.sl_slo = 0
                        if self.sl_llo !=0: 
                            self.sl_llo.Cancel("End of Hour")
                            if self.sl_llo.Status == OrderStatus.Filled:
                                self.sl_llo = 0 
                #and liquidating any open positions    
                if self.Portfolio['EURUSD'].Invested: 
                    self.Liquidate()  
            
            if cur_row.__len__() == 1 and self.do_plot == True:
                self.Plot("Prices","OR_h",self.or_h)
                self.Plot("Prices","OR_l",self.or_l)
                self.Plot("Prices","High",data['EURUSD'].High)
                self.Plot("Prices","Low",data['EURUSD'].Low)
            
        
        
          
          
                
#eof