Live Performance Report

model version v4+ with realized 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.
2025-03-14T19:06:39.129353 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:39.355869 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:39.583354 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:39.760209 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:39.911587 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:40.081948 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:40.292846 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:40.497447 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:40.678668 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:40.863174 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:41.051709 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:41.250697 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:41.410649 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:41.514846 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/
Key Performance Metrics
MetricBenchmarkStrategy
Risk-Free Rate0.0%0.0%
Time in Market97.0%73.0%

Total Return8.58%-26.97%
CAGR﹪2.56%-9.19%

Sharpe0.33-1.36
Prob. Sharpe Ratio69.39%1.83%
Smart Sharpe0.3-1.2
Sortino0.45-1.74
Smart Sortino0.4-1.54
Sortino/√20.32-1.23
Smart Sortino/√20.28-1.09
Omega0.760.76

Max Drawdown-10.39%-25.58%
Longest DD Days324773
Volatility (ann.)11.0%8.5%
R^20.250.25
Information Ratio-0.1-0.1
Calmar0.21-0.32
Skew-0.57-0.25
Kurtosis1.444.54

Expected Daily0.01%-0.05%
Expected Monthly0.25%-0.99%
Expected Yearly1.97%-6.95%
Kelly Criterion2.06%-25.05%
Risk of Ruin0.0%0.0%
Daily Value-at-Risk-1.13%-0.93%
Expected Shortfall (cVaR)-1.13%-0.93%

Max Consecutive Wins108
Max Consecutive Losses58
Gain/Pain Ratio0.06-0.24
Gain/Pain (1M)0.24-0.65

Payoff Ratio0.890.72
Profit Factor1.060.76
Common Sense Ratio0.860.51
CPC Index0.510.26
Tail Ratio0.820.67
Outlier Win Ratio2.936.21
Outlier Loss Ratio2.963.43

MTD-5.28%-1.97%
3M-7.06%-1.91%
6M-3.86%-6.52%
YTD-5.03%0.92%
1Y1.15%-6.41%
3Y (ann.)2.56%-9.19%
5Y (ann.)2.56%-9.19%
10Y (ann.)2.56%-9.19%
All-time (ann.)2.56%-9.19%

Best Day1.75%2.99%
Worst Day-3.7%-2.71%
Best Month6.92%2.66%
Worst Month-5.18%-7.23%
Best Year8.14%0.92%
Worst Year-5.03%-13.08%

Avg. Drawdown-2.43%-7.26%
Avg. Drawdown Days30203
Recovery Factor0.831.05
Ulcer Index0.040.16
Serenity Index0.23-0.03

Avg. Up Month3.77%1.64%
Avg. Down Month-2.96%-3.44%
Win Days53.78%47.66%
Win Month57.14%37.5%
Win Quarter50.0%10.0%
Win Year50.0%25.0%

Beta-0.39
Alpha--0.13
Correlation-49.93%
Treynor Ratio--62.95%

EOY Returns vs Benchmark
YearBenchmarkStrategyMultiplierWon
2022-2.41-2.260.94+
20238.14-13.08-1.61-
20247.88-12.55-1.59-
2025-5.030.92-0.18+

Worst 10 Drawdowns
StartedRecoveredDrawdownDays
2023-01-312025-03-13-25.58773
2022-12-152023-01-13-3.1530
2023-01-192023-01-27-0.269
2022-12-132022-12-13-0.041