Live Performance Report

model version v3+ 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.
2025-11-04T19:08:24.659120 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-11-04T19:08:24.866148 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-11-04T19:08:25.077976 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-11-04T19:08:25.243997 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-11-04T19:08:25.375759 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-11-04T19:08:25.527719 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-11-04T19:08:25.735950 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-11-04T19:08:25.930630 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-11-04T19:08:26.098080 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-11-04T19:08:26.288241 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-11-04T19:08:26.495250 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-11-04T19:08:26.682773 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-11-04T19:08:26.842238 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-11-04T19:08:26.932669 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/
Key Performance Metrics
MetricBenchmarkStrategy
Risk-Free Rate0.0%0.0%
Time in Market97.0%90.0%

Total Return25.51%56.7%
CAGR﹪4.77%9.65%

Sharpe0.671.25
Prob. Sharpe Ratio87.68%98.87%
Smart Sharpe0.671.25
Sortino0.952.03
Smart Sortino0.952.03
Sortino/√20.671.43
Smart Sortino/√20.671.43
Omega1.281.28

Max Drawdown-15.9%-10.13%
Longest DD Days456310
Volatility (ann.)12.57%14.86%
R^20.220.22
Information Ratio0.050.05
Calmar0.311.14
Skew-0.061.28
Kurtosis4.2911.7

Expected Daily0.03%0.07%
Expected Monthly0.61%1.43%
Expected Yearly6.28%13.63%
Kelly Criterion0.44%9.85%
Risk of Ruin0.0%0.0%
Daily Value-at-Risk-1.27%-1.47%
Expected Shortfall (cVaR)-1.27%-1.47%

Max Consecutive Wins88
Max Consecutive Losses56
Gain/Pain Ratio0.120.28
Gain/Pain (1M)0.581.95

Payoff Ratio0.850.97
Profit Factor1.121.28
Common Sense Ratio1.031.49
CPC Index0.520.69
Tail Ratio0.921.16
Outlier Win Ratio4.063.99
Outlier Loss Ratio3.423.2

MTD0.16%-1.71%
3M3.03%16.09%
6M8.61%19.7%
YTD10.25%27.51%
1Y6.5%21.28%
3Y (ann.)3.03%6.56%
5Y (ann.)4.77%9.65%
10Y (ann.)4.77%9.65%
All-time (ann.)4.77%9.65%

Best Day5.04%8.46%
Worst Day-4.68%-3.67%
Best Month6.92%10.36%
Worst Month-7.34%-6.09%
Best Year10.25%27.51%
Worst Year-1.36%0.99%

Avg. Drawdown-2.29%-2.3%
Avg. Drawdown Days3824
Recovery Factor1.65.6
Ulcer Index0.040.04
Serenity Index0.62.37

Avg. Up Month3.36%3.51%
Avg. Down Month-2.68%-2.45%
Win Days54.37%55.6%
Win Month63.16%65.79%
Win Quarter60.0%73.33%
Win Year75.0%100.0%

Beta-0.56
Alpha-0.14
Correlation-46.96%
Treynor Ratio-126.89%

EOY Returns vs Benchmark
YearBenchmarkStrategyMultiplierWon
20228.4822.542.66+
20238.145.650.69-
2024-1.360.99-0.73+
202510.2527.512.68+

Worst 10 Drawdowns
StartedRecoveredDrawdownDays
2025-10-092025-11-03-10.1326
2023-07-282024-05-20-9.40298
2024-06-262025-05-01-9.10310
2022-06-292022-07-28-6.9530
2022-08-222022-09-12-6.0722
2022-09-142022-10-03-5.7920
2025-05-282025-07-11-5.3945
2022-12-052023-01-16-4.8443
2023-01-312023-04-19-4.6279
2025-07-242025-08-07-4.5815