Automate gold, oil, and metals trading with systematic rule-based execution. Set precise entry and exit conditions for commodity futures and ETFs across multiple exchanges.
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A commodity trading bot removes emotion from metals, energy, and agricultural market execution through rule-based automation. Set conditions like when gold drops 2% in 24 hours while VIX exceeds 25, then allocate 5% of portfolio to GLD. Your systematic approach works across commodity ETFs, futures, and related instruments on platforms like Trading212, Alpaca, and Charles Schwab.
The platform recognizes that commodity markets move differently than equities with seasonal patterns, geopolitical events, and supply disruptions. Your automation can incorporate multiple timeframes where weekly trends override daily noise. Rules might buy energy ETFs when crude oil futures show backwardation while avoiding positions during OPEC announcement weeks.
Instead of trading single commodities, the system lets you build baskets that rotate between metals, energy, and agriculture based on relative strength. Your rules can shift from gold to silver when the gold-silver ratio exceeds 80, or move from oil to natural gas during seasonal heating demand periods.
Templates for commodity sectors
Templates cover precious metals momentum, energy sector breakouts, and agricultural seasonal plays. Each template includes specific entry conditions like when copper-gold ratio signals industrial demand or when heating oil spreads indicate winter positioning opportunities.
Risk controls for volatile markets
The automation includes position sizing that accounts for volatility with stop losses that adjust based on ATR calculations specific to each sector. Risk controls prevent overexposure when correlations spike during market stress.
Buy the Dips
Purchases commodity ETFs when prices drop below 20-day moving average with RSI under 35. Exits when RSI exceeds 65 or price recovers above moving average. Effective for precious metals during market stress periods.
Volatility Breakout
Enters positions when commodity prices break above 14-day high with volume confirmation. Uses ATR-based stops to handle commodity volatility. Works well for energy and metals during trending markets.
DCA Accumulator
Systematically accumulates commodity positions over time regardless of price. Buys fixed dollar amounts weekly or monthly. Ideal for long-term precious metals and broad commodity exposure building.
Moving Average Crossover
Trades short-term moves around key moving averages in commodity futures. Enters when price touches MA50 with momentum confirmation. Quick exits target 1-2% moves in liquid commodity markets.
Supertrend Momentum
Follows commodity trends using Supertrend indicator with customized parameters for each sector. Stays in positions during strong directional moves. Particularly effective for energy and agricultural trends.
Buy the Dips
Purchases commodity ETFs when prices drop below 20-day moving average with RSI under 35. Exits when RSI exceeds 65 or price recovers above moving average. Effective for precious metals during market stress periods.
Volatility Breakout
Enters positions when commodity prices break above 14-day high with volume confirmation. Uses ATR-based stops to handle commodity volatility. Works well for energy and metals during trending markets.
DCA Accumulator
Systematically accumulates commodity positions over time regardless of price. Buys fixed dollar amounts weekly or monthly. Ideal for long-term precious metals and broad commodity exposure building.
Moving Average Crossover
Trades short-term moves around key moving averages in commodity futures. Enters when price touches MA50 with momentum confirmation. Quick exits target 1-2% moves in liquid commodity markets.
Supertrend Momentum
Follows commodity trends using Supertrend indicator with customized parameters for each sector. Stays in positions during strong directional moves. Particularly effective for energy and agricultural trends.
RSI Oversold Rebound
Buys oversold commodity dips when RSI drops below 30 on daily charts. Combines with support level confirmation. Targets quick rebounds in precious metals and industrial commodities during corrections.
Grid Trading
Places buy and sell orders at regular price intervals around current commodity prices. Profits from range-bound markets common in stable commodity environments. Works across metals and energy ETFs.
Bollinger Band Mean Reversion
Trades commodity price extremes using Bollinger Bands. Buys at lower band, sells at upper band. Effective for range-bound commodity markets with clear support and resistance levels.
Breakout Confirmation
Enters commodity positions after price breaks key resistance then retests successfully. Confirms breakout validity before entry. Strong for commodity futures during major trend changes or supply disruptions.
Trailing Stop Protection
Protects commodity positions with dynamic stops that trail profitable moves. Adjusts stop distance based on commodity volatility. Maximizes gains during strong commodity trends while limiting downside risk.
The system incorporates indicators that matter for trading like contango and backwardation curves, seasonal adjustment factors, and correlation breakdowns between related markets. Your rules can wait for confirmation across multiple signals before executing trades.
Rules work across commodity ETFs like GLD, SLV, USO, and DBA as well as futures contracts where available. The platform handles different contract specifications and rollover dates automatically. You focus on strategy logic while the system manages execution details across Trading212, WeBull, and Tastytrade.
Automation can incorporate known seasonality like heating oil strength in winter or agricultural harvest patterns. Your rules might increase position sizes during historically strong periods while reducing exposure during typical weakness windows.
Rather than concentrating in single assets, the system helps you build diversified exposure across metals, energy, and agriculture. Rules can rebalance allocations based on relative performance and volatility changes between sectors.
Launch BotFAQ
Henrik L.
Marta V.
Diego R.
Aisha K.
Tomasz R.
Lucia S.
Test your rules against historical data to understand performance across different market cycles. The system shows how strategies performed during bull markets, bear markets, and sideways periods. You can adjust parameters based on backtest results before risking real capital.
Rules can analyze markets across multiple timeframes simultaneously. Daily trends might override hourly signals while weekly patterns provide broader context. Your automation weighs different timeframe signals according to your specified priority rules.
The platform tracks correlations between different sectors and adjusts position sizing when correlations spike. During market stress, normally uncorrelated assets often move together, increasing portfolio risk that rules can automatically manage.
Automation can pause trading around scheduled events like OPEC meetings, Federal Reserve announcements, or major economic data releases that typically move markets. Rules resume normal operation after volatility settles.
Monitor how different sectors contribute to overall portfolio performance. The system tracks sector allocation, individual position performance, and risk-adjusted returns across your entire automation strategy.
Start with simple rules and gradually add complexity as you gain experience. The platform supports everything from basic DCA strategies to sophisticated sector rotation and relative strength systems. Your automation grows with your market understanding.
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