Live Performance Report

model version v2+ 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.
2025-03-14T19:06:19.100675 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:19.331622 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:19.566312 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:19.751758 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:19.896210 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:20.065070 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:20.301717 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:20.512697 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:20.700643 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:20.902611 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:21.094510 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:21.307908 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:21.481691 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:21.588476 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/
Key Performance Metrics
MetricBenchmarkStrategy
Risk-Free Rate0.0%0.0%
Time in Market97.0%79.0%

Total Return8.62%-41.29%
CAGR﹪1.87%-11.23%

Sharpe0.22-0.85
Prob. Sharpe Ratio64.99%6.79%
Smart Sharpe0.21-0.83
Sortino0.29-1.14
Smart Sortino0.29-1.12
Sortino/√20.21-0.81
Smart Sortino/√20.2-0.79
Omega0.830.83

Max Drawdown-15.27%-38.22%
Longest DD Days6151073
Volatility (ann.)12.49%15.29%
R^20.310.31
Information Ratio-0.07-0.07
Calmar0.09-0.25
Skew-0.420.32
Kurtosis1.8611.62

Expected Daily0.01%-0.06%
Expected Monthly0.15%-1.17%
Expected Yearly1.98%-10.78%
Kelly Criterion-0.1%-18.01%
Risk of Ruin0.0%0.0%
Daily Value-at-Risk-1.28%-1.64%
Expected Shortfall (cVaR)-1.28%-1.64%

Max Consecutive Wins108
Max Consecutive Losses58
Gain/Pain Ratio0.04-0.17
Gain/Pain (1M)0.14-0.58

Payoff Ratio0.830.77
Profit Factor1.040.83
Common Sense Ratio0.870.73
CPC Index0.470.31
Tail Ratio0.830.87
Outlier Win Ratio3.864.88
Outlier Loss Ratio3.783.27

MTD-5.28%-1.85%
3M-7.06%-1.25%
6M-3.86%-5.74%
YTD-5.03%1.46%
1Y1.15%-4.18%
3Y (ann.)1.44%-11.26%
5Y (ann.)1.87%-11.23%
10Y (ann.)1.87%-11.23%
All-time (ann.)1.87%-11.23%

Best Day3.75%8.37%
Worst Day-3.7%-4.97%
Best Month6.92%3.81%
Worst Month-8.92%-15.19%
Best Year8.14%1.46%
Worst Year-5.03%-23.79%

Avg. Drawdown-2.69%-16.03%
Avg. Drawdown Days42372
Recovery Factor0.561.08
Ulcer Index0.060.29
Serenity Index0.12-0.03

Avg. Up Month4.51%2.23%
Avg. Down Month-3.81%-4.56%
Win Days54.62%48.81%
Win Month55.26%41.18%
Win Quarter53.85%23.08%
Win Year50.0%25.0%

Beta-0.68
Alpha--0.15
Correlation-55.49%
Treynor Ratio--53.35%

EOY Returns vs Benchmark
YearBenchmarkStrategyMultiplierWon
2022-2.37-23.7910.03-
20238.14-9.20-1.13-
20247.88-9.75-1.24-
2025-5.031.46-0.29+

Worst 10 Drawdowns
StartedRecoveredDrawdownDays
2022-04-062025-03-13-38.221073
2022-02-142022-03-21-7.8336
2022-03-252022-03-31-2.037