Live Performance Report

model version v4+ 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.
2025-06-11T19:04:10.343293 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-06-11T19:04:10.542599 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-06-11T19:04:10.749423 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-06-11T19:04:10.913101 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-06-11T19:04:11.056189 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-06-11T19:04:11.210736 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-06-11T19:04:11.413717 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-06-11T19:04:11.603744 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-06-11T19:04:11.768829 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-06-11T19:04:11.942811 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-06-11T19:04:12.142584 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-06-11T19:04:12.346270 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-06-11T19:04:12.496029 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-06-11T19:04:12.589824 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/
Key Performance Metrics
MetricBenchmarkStrategy
Risk-Free Rate0.0%0.0%
Time in Market96.0%86.0%

Total Return10.58%24.87%
CAGR﹪2.82%6.34%

Sharpe0.41.06
Prob. Sharpe Ratio72.18%94.41%
Smart Sharpe0.381.0
Sortino0.561.62
Smart Sortino0.521.53
Sortino/√20.391.15
Smart Sortino/√20.371.08
Omega1.231.23

Max Drawdown-15.9%-7.92%
Longest DD Days435246
Volatility (ann.)12.21%10.91%
R^20.210.21
Information Ratio0.030.03
Calmar0.160.85
Skew-0.190.89
Kurtosis5.6611.33

Expected Daily0.02%0.04%
Expected Monthly0.34%0.88%
Expected Yearly2.54%6.12%
Kelly Criterion-3.33%8.17%
Risk of Ruin0.0%0.0%
Daily Value-at-Risk-1.25%-1.08%
Expected Shortfall (cVaR)-1.25%-1.08%

Max Consecutive Wins88
Max Consecutive Losses56
Gain/Pain Ratio0.070.23
Gain/Pain (1M)0.311.08

Payoff Ratio0.790.86
Profit Factor1.071.23
Common Sense Ratio0.891.09
CPC Index0.460.61
Tail Ratio0.830.88
Outlier Win Ratio3.554.76
Outlier Loss Ratio3.013.43

MTD1.97%-3.59%
3M8.95%4.22%
6M2.78%5.07%
YTD6.21%9.53%
1Y1.1%5.43%
3Y (ann.)2.82%6.34%
5Y (ann.)2.82%6.34%
10Y (ann.)2.82%6.34%
All-time (ann.)2.82%6.34%

Best Day5.04%5.67%
Worst Day-4.68%-3.41%
Best Month6.92%5.15%
Worst Month-4.61%-5.75%
Best Year8.14%11.18%
Worst Year-2.41%-0.82%

Avg. Drawdown-3.4%-1.86%
Avg. Drawdown Days7225
Recovery Factor0.673.14
Ulcer Index0.050.03
Serenity Index0.21.1

Avg. Up Month3.05%3.1%
Avg. Down Month-2.83%-2.17%
Win Days54.25%57.51%
Win Month55.56%62.96%
Win Quarter45.45%63.64%
Win Year50.0%75.0%

Beta-0.4
Alpha-0.1
Correlation-45.3%
Treynor Ratio-65.73%

EOY Returns vs Benchmark
YearBenchmarkStrategyMultiplierWon
2022-2.41-0.820.34+
20238.1411.181.37+
2024-1.364.99-3.66+
20256.219.531.53+

Worst 10 Drawdowns
StartedRecoveredDrawdownDays
2023-07-282023-12-13-7.92139
2025-02-282025-04-29-7.7661
2024-06-262025-02-26-6.84246
2025-05-282025-06-10-4.5114
2023-01-312023-04-04-4.1364
2023-05-162023-07-04-3.3350
2022-12-152023-01-11-2.8628
2024-05-012024-05-20-2.4120
2023-07-062023-07-13-2.048
2024-04-022024-04-26-1.7525