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.
2025-03-14T19:06:25.973671 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:26.197133 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:26.413128 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:26.580361 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:26.725333 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:26.889704 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:27.089443 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:27.298907 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:27.506538 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:27.717758 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:27.938833 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:28.123221 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:28.279887 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:28.384767 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/
Key Performance Metrics
MetricBenchmarkStrategy
Risk-Free Rate0.0%0.0%
Time in Market98.0%77.0%

Total Return19.47%32.68%
CAGR﹪4.61%7.43%

Sharpe0.580.91
Prob. Sharpe Ratio83.22%94.4%
Smart Sharpe0.550.86
Sortino0.81.45
Smart Sortino0.761.37
Sortino/√20.571.02
Smart Sortino/√20.540.97
Omega1.221.22

Max Drawdown-10.39%-9.4%
Longest DD Days324298
Volatility (ann.)11.97%12.76%
R^20.280.28
Information Ratio0.020.02
Calmar0.440.85
Skew-0.271.7
Kurtosis1.8519.94

Expected Daily0.02%0.04%
Expected Monthly0.51%0.92%
Expected Yearly4.7%7.86%
Kelly Criterion-0.27%6.5%
Risk of Ruin0.0%0.0%
Daily Value-at-Risk-1.21%-1.28%
Expected Shortfall (cVaR)-1.21%-1.28%

Max Consecutive Wins108
Max Consecutive Losses56
Gain/Pain Ratio0.10.22
Gain/Pain (1M)0.451.54

Payoff Ratio0.830.9
Profit Factor1.11.22
Common Sense Ratio0.941.22
CPC Index0.50.61
Tail Ratio0.861.0
Outlier Win Ratio3.765.15
Outlier Loss Ratio3.243.22

MTD-5.28%-1.39%
3M-7.06%1.28%
6M-3.86%-2.73%
YTD-5.03%3.5%
1Y1.15%4.36%
3Y (ann.)4.61%7.43%
5Y (ann.)4.61%7.43%
10Y (ann.)4.61%7.43%
All-time (ann.)4.61%7.43%

Best Day3.75%8.46%
Worst Day-3.7%-3.67%
Best Month6.92%5.86%
Worst Month-7.34%-6.09%
Best Year8.48%22.54%
Worst Year-5.03%0.99%

Avg. Drawdown-2.34%-2.23%
Avg. Drawdown Days2729
Recovery Factor1.873.47
Ulcer Index0.040.03
Serenity Index0.571.41

Avg. Up Month3.31%3.05%
Avg. Down Month-3.03%-2.48%
Win Days54.64%55.68%
Win Month61.76%66.67%
Win Quarter58.33%75.0%
Win Year75.0%100.0%

Beta-0.56
Alpha-0.08
Correlation-52.74%
Treynor Ratio-63.18%

EOY Returns vs Benchmark
YearBenchmarkStrategyMultiplierWon
20228.4822.542.66+
20238.145.650.69-
20247.880.990.13-
2025-5.033.50-0.70+

Worst 10 Drawdowns
StartedRecoveredDrawdownDays
2023-07-282024-05-20-9.40298
2024-06-262025-03-13-7.28261
2022-06-292022-07-28-6.9530
2022-08-222022-09-12-6.0722
2022-09-142022-10-03-5.7920
2022-12-052023-01-16-4.7343
2023-01-312023-04-19-4.6279
2023-05-162023-07-13-3.5159
2022-10-282022-11-01-3.395
2022-11-182022-11-30-2.6913