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.
2025-11-17T19:03:52.289055 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-11-17T19:03:52.485606 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-11-17T19:03:52.675272 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-11-17T19:03:52.827816 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-11-17T19:03:52.957993 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-11-17T19:03:53.099165 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-11-17T19:03:53.290116 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-11-17T19:03:53.483324 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-11-17T19:03:53.660534 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-11-17T19:03:53.841861 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-11-17T19:03:54.029336 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-11-17T19:03:54.200118 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-11-17T19:03:54.340139 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-11-17T19:03:54.429176 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/
Key Performance Metrics
MetricBenchmarkStrategy
Risk-Free Rate0.0%0.0%
Time in Market97.0%89.0%

Total Return11.4%36.12%
CAGR﹪2.58%7.55%

Sharpe0.371.1
Prob. Sharpe Ratio72.39%96.58%
Smart Sharpe0.371.09
Sortino0.511.73
Smart Sortino0.511.72
Sortino/√20.361.23
Smart Sortino/√20.361.22
Omega1.241.24

Max Drawdown-15.9%-12.25%
Longest DD Days456310
Volatility (ann.)11.85%12.58%
R^20.160.16
Information Ratio0.040.04
Calmar0.140.68
Skew-0.180.8
Kurtosis5.346.96

Expected Daily0.01%0.05%
Expected Monthly0.31%1.07%
Expected Yearly2.74%8.34%
Kelly Criterion-1.94%7.7%
Risk of Ruin0.0%0.0%
Daily Value-at-Risk-1.21%-1.25%
Expected Shortfall (cVaR)-1.21%-1.25%

Max Consecutive Wins88
Max Consecutive Losses56
Gain/Pain Ratio0.070.24
Gain/Pain (1M)0.31.27

Payoff Ratio0.850.95
Profit Factor1.071.24
Common Sense Ratio0.911.23
CPC Index0.480.65
Tail Ratio0.860.99
Outlier Win Ratio3.994.35
Outlier Loss Ratio3.343.4

MTD-3.06%1.4%
3M-2.26%11.15%
6M4.98%20.37%
YTD7.03%30.63%
1Y3.28%24.4%
3Y (ann.)2.62%7.75%
5Y (ann.)2.58%7.55%
10Y (ann.)2.58%7.55%
All-time (ann.)2.58%7.55%

Best Day5.04%5.63%
Worst Day-4.68%-3.42%
Best Month6.92%10.36%
Worst Month-4.61%-6.09%
Best Year8.14%30.63%
Worst Year-2.41%-1.15%

Avg. Drawdown-2.51%-2.3%
Avg. Drawdown Days4633
Recovery Factor0.722.95
Ulcer Index0.040.04
Serenity Index0.251.1

Avg. Up Month3.19%3.29%
Avg. Down Month-2.65%-2.32%
Win Days53.09%55.02%
Win Month56.25%59.38%
Win Quarter46.15%69.23%
Win Year50.0%75.0%

Beta-0.42
Alpha-0.12
Correlation-39.81%
Treynor Ratio-96.0%

EOY Returns vs Benchmark
YearBenchmarkStrategyMultiplierWon
2022-2.41-1.150.48+
20238.145.650.69-
2024-1.360.99-0.73+
20257.0330.634.36+

Worst 10 Drawdowns
StartedRecoveredDrawdownDays
2025-10-092025-11-14-12.2537
2023-07-282024-05-20-9.40298
2024-06-262025-05-01-9.10310
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