Automate oil and energy commodity trades with rule-based strategies. Monitor crude oil prices and execute systematic entries across brokers like Alpaca and Trading212.
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Free oil automation transforms how traders approach energy commodities by executing predefined rules across oil futures and ETFs. Instead of watching crude oil prices manually, you set conditions like buying when WTI drops 3% in a day while RSI stays above 40. The system monitors USO, XLE and oil futures on platforms like Alpaca, Trading212 and Charles Schwab around the clock.
The platform provides ready-made templates for oil and energy trading including breakout strategies for crude oil spikes and mean reversion rules for refinery stocks. Templates cover WTI crude, Brent futures, energy ETFs and oil service companies with preset risk controls.
You configure alerts and automatic entries based on oil inventory reports, OPEC announcements and geopolitical events. Rules can buy energy stocks when oil rises above key resistance or hedge positions when crude oil volatility exceeds historical ranges.
Oil futures and ETF automation
Connect your broker account to execute oil futures trades systematically across WTI, Brent and heating oil contracts. The automation handles position sizing and risk management while you focus on strategy refinement.
Energy commodity rule engine
Each energy trading rule operates independently while maintaining portfolio-level risk controls across all oil and gas positions through unified position tracking.
Buy the Dips
Purchases oil ETFs when crude prices drop 5% or more in 24 hours with volume confirmation. Exits when price recovers 3% above entry. Effective for capturing oil market oversold bounces.
Volatility Breakout
Enters long positions when oil volatility breaks above 30-day average with price momentum. Uses ATR-based stops and trailing exits. Captures major oil price movements during supply disruptions.
Moving Average Scalper
Trades oil futures when price crosses above 20-period MA with volume spike. Quick exits at 1.5% profit or 1% loss. Designed for short-term oil price momentum.
RSI Oversold Rebound
Buys energy stocks when RSI drops below 25 on daily charts with oil prices near support. Sells when RSI exceeds 70. Simple mean reversion for oil sector equities.
Supertrend Momentum
Follows oil price trends using Supertrend indicator on 4-hour charts. Enters long when price breaks above Supertrend line with increasing volume. Exits on Supertrend reversal signal.
Buy the Dips
Purchases oil ETFs when crude prices drop 5% or more in 24 hours with volume confirmation. Exits when price recovers 3% above entry. Effective for capturing oil market oversold bounces.
Volatility Breakout
Enters long positions when oil volatility breaks above 30-day average with price momentum. Uses ATR-based stops and trailing exits. Captures major oil price movements during supply disruptions.
Moving Average Scalper
Trades oil futures when price crosses above 20-period MA with volume spike. Quick exits at 1.5% profit or 1% loss. Designed for short-term oil price momentum.
RSI Oversold Rebound
Buys energy stocks when RSI drops below 25 on daily charts with oil prices near support. Sells when RSI exceeds 70. Simple mean reversion for oil sector equities.
Supertrend Momentum
Follows oil price trends using Supertrend indicator on 4-hour charts. Enters long when price breaks above Supertrend line with increasing volume. Exits on Supertrend reversal signal.
DCA Accumulator
Dollar-cost averages into oil ETFs weekly regardless of price with additional buys during 10% drawdowns. Long-term accumulation strategy for energy sector exposure.
Grid Trading
Places buy and sell orders at fixed intervals around current oil price. Profits from oil price oscillation within trading ranges. Automatically adjusts grid levels based on volatility.
Bollinger Band Mean Reversion
Sells oil positions when price touches upper Bollinger Band and buys at lower band. Works best during sideways oil market conditions with clear support and resistance.
Momentum Pullback
Enters oil trades on pullbacks to 50% retracement during strong trends. Uses momentum indicators to confirm trend strength before entry. Captures continuation moves in oil prices.
Support Resistance Bounce
Identifies key oil price levels and trades bounces off support with tight stops. Exits at resistance levels or on breakdown below support. Technical analysis-based oil trading approach.
The system can incorporate EIA inventory reports and production data into trading decisions. Rules activate when crude oil inventories fall below seasonal averages or when production cuts are announced. This fundamental analysis layer adds context to technical oil trading signals.
Track correlations between oil prices and energy stocks like XOM, CVX and SLB to optimize timing. The platform monitors when oil price movements typically translate into energy equity gains. Position sizing adjusts based on correlation strength and sector rotation patterns.
Configure rules that respond to oil supply disruptions, sanctions or OPEC decisions through news-based triggers. The automation can increase position sizes during supply concerns or reduce exposure when geopolitical tensions ease. Risk controls prevent overexposure during volatile periods.
For brokers supporting options, automate covered calls on oil ETF positions or protective puts during uncertain periods. The system can sell calls against USO holdings when implied volatility is high or buy puts when oil prices approach technical resistance levels.
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Automate rotation between upstream producers, midstream pipelines and downstream refiners based on oil price cycles. The system recognizes when rising crude prices favor exploration companies versus when stable prices benefit pipeline operators. Allocation adjusts automatically as market conditions change.
Capture seasonal oil demand patterns like summer driving season and winter heating demand through automated calendar-based rules. The platform can increase gasoline-related positions before peak driving months or add heating oil exposure ahead of winter. Historical seasonality data informs timing decisions.
The system identifies when oil markets shift between low and high volatility regimes, adjusting strategy parameters accordingly. During calm periods, tighter stops and smaller positions protect capital while volatile periods trigger wider stops and larger position sizes to capture bigger moves.
Automate dividend capture strategies for high-yielding energy stocks and MLPs when oil prices support distributions. The platform tracks ex-dividend dates and oil price levels needed for sustainable payouts. Positions size appropriately based on dividend yield and oil price stability.
Detect oil futures curve structure changes and adjust ETF positions accordingly. When oil markets move into steep contango, the automation can reduce USO exposure due to negative roll yield. During backwardation, increased oil ETF allocation captures positive roll returns automatically.
Combine short-term oil price signals with longer-term energy sector trends for optimal entry timing. The automation analyzes oil prices across multiple timeframes from intraday to monthly charts. Position sizing increases when signals align across timeframes and decreases during conflicting signals.
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