Systematic Trading · Commodity & Equity Markets

Precision algorithms
for commodity & equity futures

Quantitative trading strategies built on years of research across energy, commodity and equity markets. Rigorously backtested, fully systematic.

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Avg. Sharpe Ratio
 
across all strategies
Avg. Win Rate
 
avg. over all strategies
Best Return
 
 
Strategies Live
 
 
Our Algorithm Suite
Recent Trade Log
Trade History — Select a strategy
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Click "Details →" on any strategy card to view its recent trades
Model Basis
Strategies are derived from statistical regularities observed in historical price data. Each model is trained in walk-forward mode, and backtested on a fixed in-sample window and evaluated on a strictly separated out-of-sample period. Parameters are not revised after deployment.
Limitations
Markets can behave in ways that differ from historical distributions. A strategy that performed well in backtesting may underperform or produce losses in live markets. The figures shown reflect specific past periods — they are records, not forecasts.
Reporting Standard
All figures are computed from closed trades, inclusive of estimated transaction costs and slippage. No time windows are excluded, no fills are simulated. The trade log published here is unedited and complete for each configuration shown.