What does systematic trading strategy evaluation involve?

It involves backtesting multiple hedging strategies across historical data, comparing performance metrics across commodities and time horizons, and selecting the approach with the best risk-adjusted outcome — with full model explainability.

Why is explainability important in commodity risk strategy evaluation?

Risk management decisions must be defensable to boards, auditors, and regulators. Fully explainable model outputs enable governance documentation and ensure that strategy choices can be reviewed and challenged.

Back

Systematic Trading Strategy Evaluation for Commodity Risk Control

Success Story #

Agriculture

Supply chain & Manufacturing

Risk

Finance & IT

Business Problem
Price risk strategies werefragmented and inconsistently applied across commodities, making it difficultto objectively evaluate performance and scale successful approaches.

‍

Actions Taken

· Designed multiple systematic tradingstrategies based on defined rule sets.

· Tested strategies across commodities usinghistorical data and benchmark comparisons.

· Introduced structured evaluation metrics tocompare internal strategies against market performance.

‍

Outcomes Achieved

· Enabled objective comparison of trading andhedging strategies.

· Improved decision discipline by reducingreliance on subjective judgment.

· Supported more consistent execution of pricerisk strategies across commodities.

‍

Are you still buying commodities too late or too early?

In 10 minutes, see how IG Forecaster helps teams reduce volatility risk and protect margins.

Try It Now