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.
2025-11-04T09:03:55.958955 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-11-04T09:03:56.129844 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-11-04T09:03:56.307471 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-11-04T09:03:56.455952 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-11-04T09:03:56.581866 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-11-04T09:03:56.722525 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-11-04T09:03:56.910937 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-11-04T09:03:57.087042 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-11-04T09:03:57.257039 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-11-04T09:03:57.437175 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-11-04T09:03:57.619554 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-11-04T09:03:57.779803 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-11-04T09:03:57.913946 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-11-04T09:03:58.009304 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/
Key Performance Metrics
MetricBenchmarkStrategy
Risk-Free Rate0.0%0.0%
Time in Market97.0%88.0%

Total Return14.46%34.71%
CAGR﹪3.28%7.38%

Sharpe0.481.11
Prob. Sharpe Ratio77.6%96.5%
Smart Sharpe0.471.09
Sortino0.661.72
Smart Sortino0.661.7
Sortino/√20.471.22
Smart Sortino/√20.461.2
Omega1.241.24

Max Drawdown-15.9%-9.4%
Longest DD Days456310
Volatility (ann.)11.86%12.23%
R^20.170.17
Information Ratio0.040.04
Calmar0.190.87
Skew-0.190.74
Kurtosis5.427.34

Expected Daily0.02%0.05%
Expected Monthly0.42%1.06%
Expected Yearly3.47%8.05%
Kelly Criterion-1.27%7.68%
Risk of Ruin0.0%0.0%
Daily Value-at-Risk-1.21%-1.21%
Expected Shortfall (cVaR)-1.21%-1.21%

Max Consecutive Wins88
Max Consecutive Losses56
Gain/Pain Ratio0.090.24
Gain/Pain (1M)0.411.22

Payoff Ratio0.850.94
Profit Factor1.091.24
Common Sense Ratio0.941.17
CPC Index0.490.64
Tail Ratio0.860.95
Outlier Win Ratio3.654.1
Outlier Loss Ratio3.323.42

MTD0.45%-0.71%
3M1.69%17.52%
6M10.72%28.17%
YTD10.09%29.21%
1Y6.34%22.98%
3Y (ann.)3.28%7.38%
5Y (ann.)3.28%7.38%
10Y (ann.)3.28%7.38%
All-time (ann.)3.28%7.38%

Best Day5.04%5.63%
Worst Day-4.68%-3.42%
Best Month6.92%10.36%
Worst Month-4.61%-6.09%
Best Year10.09%29.21%
Worst Year-2.41%-1.15%

Avg. Drawdown-2.38%-2.18%
Avg. Drawdown Days4532
Recovery Factor0.913.69
Ulcer Index0.040.04
Serenity Index0.311.13

Avg. Up Month3.19%3.29%
Avg. Down Month-2.65%-2.32%
Win Days53.46%55.28%
Win Month58.06%58.06%
Win Quarter53.85%61.54%
Win Year50.0%75.0%

Beta-0.42
Alpha-0.11
Correlation-40.67%
Treynor Ratio-92.56%

EOY Returns vs Benchmark
YearBenchmarkStrategyMultiplierWon
2022-2.41-1.150.48+
20238.145.650.69-
2024-1.360.99-0.73+
202510.0929.212.90+

Worst 10 Drawdowns
StartedRecoveredDrawdownDays
2023-07-282024-05-20-9.40298
2024-06-262025-05-01-9.10310
2025-10-092025-10-31-8.9123
2025-05-282025-07-11-5.3945
2023-01-312023-04-19-4.6279
2025-07-242025-08-07-4.5815
2023-05-162023-07-13-3.5159
2022-12-152023-01-12-2.9329
2025-08-222025-09-04-2.6914
2025-08-182025-08-20-2.033