Live Performance Report

model version v4+ with default transaction costs.


Past performance is for illustrative purposes only and does not predict future results.
Realized transaction costs are the actual fees we paid while default transaction costs (0.03% per order) are what we will pay at deployed scale.

Version 1
Utilized a hybrid multi-factor model along with a basic ML-based predictive model and ML-based portfolio selection. Launched on 26/5/2021.
Version 2

Focused on streamlining data processes, enhancing system reliability, and improving transparency. Launched on 10/2/2022.

Note: Version 1 & 2 experienced significant losses in unfavorable market conditions prior to the improved modeling and risk management implemented in version 3 onwards. While not representative of the running system's performance, they are included for transparency.

Version 3
Introduced a highly optimized predictive ML-based model. Launched on 22/06/2022.
Version 4
All positions and position sizing now handled by a portfolio optimiser along with numerous risk management and optimization features. Launched on 8/12/2022.
Version 5
Integrated lessons learned from live operations, enhancing robustness, order execution, and incorporating numerous minor optimizations. Launched on 17/7/2023.
Version 5.1
Order execution enhancements at market closing auction and optimised intraday exit conditions to better match deployed capital. Launched on 18/9/2023.
2025-06-11T19:04:13.367165 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-06-11T19:04:13.609047 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-06-11T19:04:13.812758 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-06-11T19:04:13.973804 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-06-11T19:04:14.105618 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-06-11T19:04:14.254228 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-06-11T19:04:14.451434 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-06-11T19:04:14.659363 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-06-11T19:04:14.858084 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-06-11T19:04:15.033519 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-06-11T19:04:15.215471 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-06-11T19:04:15.396618 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-06-11T19:04:15.545756 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-06-11T19:04:15.638976 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/
Key Performance Metrics
MetricBenchmarkStrategy
Risk-Free Rate0.0%0.0%
Time in Market96.0%87.0%

Total Return10.58%13.2%
CAGR﹪2.82%3.49%

Sharpe0.40.56
Prob. Sharpe Ratio72.18%79.87%
Smart Sharpe0.380.53
Sortino0.560.84
Smart Sortino0.520.79
Sortino/√20.390.59
Smart Sortino/√20.370.56
Omega1.121.12

Max Drawdown-15.9%-9.4%
Longest DD Days435310
Volatility (ann.)12.21%10.88%
R^20.210.21
Information Ratio0.010.01
Calmar0.160.36
Skew-0.190.87
Kurtosis5.6611.31

Expected Daily0.02%0.02%
Expected Monthly0.34%0.45%
Expected Yearly2.54%3.24%
Kelly Criterion-2.58%1.08%
Risk of Ruin0.0%0.0%
Daily Value-at-Risk-1.25%-1.1%
Expected Shortfall (cVaR)-1.25%-1.1%

Max Consecutive Wins88
Max Consecutive Losses56
Gain/Pain Ratio0.070.12
Gain/Pain (1M)0.310.48

Payoff Ratio0.810.84
Profit Factor1.071.12
Common Sense Ratio0.890.93
CPC Index0.470.51
Tail Ratio0.830.83
Outlier Win Ratio3.524.76
Outlier Loss Ratio3.033.55

MTD1.97%-3.73%
3M8.95%3.1%
6M2.78%2.98%
YTD6.21%7.7%
1Y1.1%2.76%
3Y (ann.)2.82%3.49%
5Y (ann.)2.82%3.49%
10Y (ann.)2.82%3.49%
All-time (ann.)2.82%3.49%

Best Day5.04%5.63%
Worst Day-4.68%-3.42%
Best Month6.92%4.76%
Worst Month-4.61%-6.09%
Best Year8.14%7.7%
Worst Year-2.41%-1.15%

Avg. Drawdown-3.4%-2.15%
Avg. Drawdown Days7243
Recovery Factor0.671.4
Ulcer Index0.050.04
Serenity Index0.20.37

Avg. Up Month3.26%2.85%
Avg. Down Month-2.65%-2.32%
Win Days54.25%54.87%
Win Month55.56%55.56%
Win Quarter45.45%63.64%
Win Year50.0%75.0%

Beta-0.4
Alpha-0.04
Correlation-45.3%
Treynor Ratio-31.38%

EOY Returns vs Benchmark
YearBenchmarkStrategyMultiplierWon
2022-2.41-1.150.48+
20238.145.650.69-
2024-1.360.99-0.73+
20256.217.701.24+

Worst 10 Drawdowns
StartedRecoveredDrawdownDays
2023-07-282024-05-20-9.40298
2024-06-262025-05-01-9.09310
2025-05-282025-06-10-4.7214
2023-01-312023-04-19-4.6279
2023-05-162023-07-13-3.5159
2022-12-152023-01-12-2.9329
2025-05-092025-05-12-1.464
2023-04-262023-05-05-1.2810
2024-05-282024-05-30-0.833
2024-06-112024-06-14-0.654