Live Performance Report

model version v2+ with no 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.
2025-03-14T19:06:12.063448 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:12.293390 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:12.545710 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:12.733554 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:12.899439 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:13.096787 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:13.343233 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:13.590080 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:13.794328 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:14.000137 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:14.224954 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:14.442265 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:14.609357 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:14.715287 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/
Key Performance Metrics
MetricBenchmarkStrategy
Risk-Free Rate0.0%0.0%
Time in Market97.0%78.0%

Total Return8.62%24.97%
CAGR﹪1.87%5.11%

Sharpe0.220.51
Prob. Sharpe Ratio64.99%81.96%
Smart Sharpe0.210.5
Sortino0.290.74
Smart Sortino0.290.72
Sortino/√20.210.52
Smart Sortino/√20.20.51
Omega1.121.12

Max Drawdown-15.27%-28.2%
Longest DD Days615364
Volatility (ann.)12.49%15.36%
R^20.310.31
Information Ratio0.020.02
Calmar0.090.17
Skew-0.420.43
Kurtosis1.8611.56

Expected Daily0.01%0.03%
Expected Monthly0.15%0.58%
Expected Yearly1.98%6.2%
Kelly Criterion-5.36%2.29%
Risk of Ruin0.0%0.0%
Daily Value-at-Risk-1.28%-1.56%
Expected Shortfall (cVaR)-1.28%-1.56%

Max Consecutive Wins108
Max Consecutive Losses56
Gain/Pain Ratio0.040.12
Gain/Pain (1M)0.140.58

Payoff Ratio0.760.81
Profit Factor1.041.12
Common Sense Ratio0.871.17
CPC Index0.430.51
Tail Ratio0.831.05
Outlier Win Ratio3.984.73
Outlier Loss Ratio3.733.12

MTD-5.28%-1.21%
3M-7.06%2.22%
6M-3.86%-1.61%
YTD-5.03%4.26%
1Y1.15%7.54%
3Y (ann.)1.44%4.71%
5Y (ann.)1.87%5.11%
10Y (ann.)1.87%5.11%
All-time (ann.)1.87%5.11%

Best Day3.75%8.5%
Worst Day-3.7%-4.83%
Best Month6.92%6.62%
Worst Month-8.92%-12.89%
Best Year8.14%11.18%
Worst Year-5.03%4.26%

Avg. Drawdown-2.69%-2.86%
Avg. Drawdown Days4235
Recovery Factor0.560.89
Ulcer Index0.060.08
Serenity Index0.120.22

Avg. Up Month3.44%3.35%
Avg. Down Month-3.86%-4.24%
Win Days54.62%56.25%
Win Month55.26%67.65%
Win Quarter53.85%69.23%
Win Year50.0%100.0%

Beta-0.68
Alpha-0.06
Correlation-55.26%
Treynor Ratio-34.76%

EOY Returns vs Benchmark
YearBenchmarkStrategyMultiplierWon
2022-2.374.54-1.92+
20238.1411.181.37+
20247.884.990.63-
2025-5.034.26-0.85+

Worst 10 Drawdowns
StartedRecoveredDrawdownDays
2022-04-212023-04-19-28.20364
2023-07-282023-12-13-7.92139
2022-02-142022-03-02-7.1017
2024-06-262025-02-26-6.84246
2022-03-042022-03-17-3.7214
2023-05-162023-07-04-3.3350
2022-04-062022-04-18-3.2213
2025-02-282025-03-13-2.9414
2024-05-012024-05-20-2.4120
2023-07-062023-07-13-2.048