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Professional commodity automation with rules-based execution across multiple asset classes and timeframes.

4.3
Excellent 4.3
Trustpilot
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Commodity sector rotation built in

Sector rotation rules for commodities

Templates rotate between energy, metals, and agricultural commodities based on relative strength indicators and seasonal factors. When energy commodities show weakness, rules can shift allocation toward precious metals or soft commodities automatically.

Risk management for volatile markets

Commodity markets experience extreme volatility during supply disruptions or geopolitical events. The platform includes circuit breakers that pause trading when VIX exceeds predetermined levels or when individual commodity ETFs gap beyond normal ranges.

Features and Benefits

Futures contract rollover automation

The system handles futures contract rollovers automatically before expiration dates. Rules monitor open interest and volume to determine optimal rollover timing. You avoid delivery obligations while maintaining continuous exposure to commodity price movements. Rollover costs are calculated and displayed in real-time.

Commodity correlation monitoring

Built-in correlation analysis tracks relationships between different commodity sectors and broader markets. When crude oil and natural gas correlations break down, rules can adjust position sizing accordingly. The platform alerts you to unusual correlation shifts that might signal market regime changes.

Seasonal pattern recognition

Templates incorporate well-known seasonal patterns in commodity markets like the summer driving season for gasoline or harvest cycles for agricultural products. Rules can increase position sizes during historically strong periods while reducing exposure during weak seasonal windows.

Commodity ETF and futures compatibility

Rules work across both commodity ETFs and futures contracts depending on your broker capabilities. ETF strategies focus on longer-term trends while futures rules can capture shorter-term price movements. The platform adapts execution logic based on the instrument type and available margin.

FAQ

Frequently Asked Questions

Commodity Trader Reviews

This section displays customer reviews, ratings, and testimonials from traders who use our platform.
4.3
Excellent 4.3
Trustpilot
Henrik M. reviewer profile iconHenrik M.
Seasonal patterns work exactly as programmed.
Patricia R. reviewer profile iconPatricia R.
My gold allocation rebalances automatically during market stress periods.
Viktor S. reviewer profile iconViktor S.
I was skeptical about automated commodity trading but the rollover handling convinced me. No more manual contract management headaches.
Carmen L. reviewer profile iconCarmen L.
Energy sector rotation captures trends I would miss manually trading individual commodities.
Klaus W. reviewer profile iconKlaus W.
Agricultural futures strategies adapt to harvest cycles perfectly. My corn and wheat positions adjust timing based on seasonal data automatically.
Deepa V. reviewer profile iconDeepa V.
Volatility filters saved me during the oil crash when prices went negative.

Additional Benefits

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Cross-commodity spread strategies

Advanced rules can execute spread trades between related commodities like crude oil versus heating oil or corn versus wheat. The platform calculates spread ratios and triggers entries when relationships deviate from historical norms. Spread strategies often provide more stable returns than outright commodity positions.

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Macro economic integration

Rules consider broader economic indicators that affect commodity prices like dollar strength, interest rates and inflation expectations. When the dollar index rises sharply, gold rules might reduce position sizes automatically. This macro awareness helps commodity strategies adapt to changing market conditions.

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Storage cost considerations

For physical commodity ETFs, the system accounts for storage costs and contango effects in position sizing decisions. Rules can favor commodities with lower storage costs during periods of steep contango. This helps optimize returns across different commodity storage characteristics.

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Weather pattern monitoring

Agricultural commodity rules integrate weather data and forecasts into decision-making processes. Drought conditions might trigger increased position sizes in affected crop futures while excessive rainfall could reduce exposure. Weather integration adds another layer of fundamental analysis to technical signals.

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Commodity momentum persistence

Research shows commodity trends often persist longer than equity trends due to supply and demand imbalances. Rules are calibrated to hold commodity positions longer while using wider stop losses to avoid premature exits. This approach captures more of the available trend in commodity markets.

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