Live Performance Report

model version v1+ 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.
2025-03-14T19:05:59.787751 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:05:59.988158 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:00.197255 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:00.407699 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:00.559028 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:00.717689 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:00.936304 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:01.153629 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:01.381280 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:01.614296 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:01.855066 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:02.051043 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:02.215509 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/

2025-03-14T19:06:02.326588 image/svg+xml Matplotlib v3.9.2, https://matplotlib.org/
Key Performance Metrics
MetricBenchmarkStrategy
Risk-Free Rate0.0%0.0%
Time in Market97.0%77.0%

Total Return11.86%25.44%
CAGR﹪2.06%4.21%

Sharpe0.240.39
Prob. Sharpe Ratio68.42%78.27%
Smart Sharpe0.240.39
Sortino0.330.56
Smart Sortino0.320.55
Sortino/√20.230.39
Smart Sortino/√20.230.39
Omega1.091.09

Max Drawdown-15.67%-33.23%
Longest DD Days898904
Volatility (ann.)12.43%16.43%
R^20.290.29
Information Ratio0.020.02
Calmar0.10.11
Skew-0.460.11
Kurtosis1.858.1

Expected Daily0.01%0.02%
Expected Monthly0.18%0.46%
Expected Yearly2.2%5.03%
Kelly Criterion-4.81%0.24%
Risk of Ruin0.0%0.0%
Daily Value-at-Risk-1.28%-1.68%
Expected Shortfall (cVaR)-1.28%-1.68%

Max Consecutive Wins108
Max Consecutive Losses56
Gain/Pain Ratio0.040.09
Gain/Pain (1M)0.180.45

Payoff Ratio0.760.79
Profit Factor1.041.09
Common Sense Ratio0.881.12
CPC Index0.430.48
Tail Ratio0.841.04
Outlier Win Ratio4.154.54
Outlier Loss Ratio4.123.04

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.)2.06%4.21%
10Y (ann.)2.06%4.21%
All-time (ann.)2.06%4.21%

Best Day3.75%8.5%
Worst Day-3.7%-4.88%
Best Month6.92%7.47%
Worst Month-8.92%-12.89%
Best Year8.14%11.18%
Worst Year-5.03%0.28%

Avg. Drawdown-2.45%-2.83%
Avg. Drawdown Days5254
Recovery Factor0.760.77
Ulcer Index0.060.11
Serenity Index0.170.12

Avg. Up Month3.11%3.28%
Avg. Down Month-3.7%-4.35%
Win Days54.64%55.84%
Win Month57.45%65.12%
Win Quarter62.5%56.25%
Win Year60.0%100.0%

Beta-0.71
Alpha-0.04
Correlation-53.78%
Treynor Ratio-31.39%

EOY Returns vs Benchmark
YearBenchmarkStrategyMultiplierWon
20215.154.740.92-
2022-4.290.28-0.07+
20238.1411.181.37+
20247.884.990.63-
2025-5.034.26-0.85+

Worst 10 Drawdowns
StartedRecoveredDrawdownDays
2021-09-162024-03-07-33.23904
2024-06-262025-02-26-6.84246
2021-06-282021-07-28-3.4231
2021-09-062021-09-13-3.158
2025-02-282025-03-13-2.9414
2024-05-012024-05-20-2.4120
2021-08-192021-09-02-2.1115
2024-04-022024-04-26-1.7525
2021-08-162021-08-17-1.592
2021-06-012021-06-02-1.532