Strategy #746
Corn/Wheat/Soybean Seasonal Trade
Entry Logic
- Exact Entry Trigger: Enter long agricultural futures (e.g., ZC, ZW, ZS) during their typical seasonal strength periods. For example, go long corn in the spring and summer.
- Confirmation: The price action should confirm the seasonal tendency, with the futures trading above their 50-day moving average.
- Timeframe: Daily chart.
- Location Context: Not applicable.
- Market Condition: A market that is influenced by seasonal patterns.
Exit Logic
- Profit Targets: A fixed target based on the historical seasonal pattern.
- Scaling Out: Not recommended.
- Trailing Stop: Trail the stop loss below the 50-day moving average.
- Signal Failure Exit: Exit if the price breaks below the 50-day moving average.
- Opposite Signal Exit: Not applicable.
- Time Expiration: Exit the trade at the end of the seasonal window.
- Momentum Loss: Not applicable.
Stop Loss Structure
- Hard Stop: A fixed stop based on a percentage of the contract value.
- Soft Stop: Not used.
- Max Dollar Loss: Varies by contract.
- Max Percent Loss: 2% of account capital.
- Structural Stop: Not applicable.
Risk Management Framework
- Risk Per Trade: 1% of account capital.
- Maximum Daily Loss Limit: Not applicable.
- Maximum Weekly Loss Limit: Not applicable.
- Maximum Drawdown: 15% from peak equity.
- R:R Requirement: Minimum 2:1 risk-reward ratio.
Position Sizing Model
- Sizing Approach: Fixed contract size.
- Volatility Adjustment: Not applicable.
- Conviction Sizing: Not applicable.
- Scaling In: Not recommended.
- Scaling Out: Not recommended.
Trade Filtering
- Market Conditions to Avoid: A market that is not following its typical seasonal pattern.
- Specific Setups Required: A clear seasonal tendency with confirming price action.
- Instruments: ZC (Corn futures), ZW (Wheat futures), ZS (Soybean futures).
- Time Restrictions: Trade only during the specific seasonal windows for each commodity.
- Chop/News Avoidance: Be aware of major weather events or government reports that could disrupt the seasonal pattern.
Context Framework
- Trend Direction: Trade in the direction of the seasonal trend.
- VWAP Relationship: Not applicable.
- MA Relationship: The price should be above the 50-day moving average for long trades.
- Range Location: Not applicable.
- Higher TF Alignment: Not applicable.
Trade Management Rules
- Breakeven: Not applicable.
- Scale Out: Not applicable.
- Add Size: Not recommended.
- Fast vs Slow Moves: This is a slow-moving strategy. Be patient.
Time Rules
- Optimal Trading Window: The specific seasonal window for each commodity.
- Times to Avoid: Outside of the seasonal window.
- Session Notes: This strategy can be traded in any session.
Setup Classification
- A+ Setup: A strong seasonal tendency with confirming price action and favorable weather conditions.
- A Setup: A good seasonal tendency with confirming price action.
- B Setup: A weak seasonal tendency or conflicting price action.
- C Setup: Avoid. No clear seasonal pattern.
Market Selection Criteria
- Instruments: ZC, ZW, ZS.
- Volume/Liquidity: High volume and liquidity are essential.
- Volatility: Moderate volatility is preferred.
Statistical Edge Metrics
- Win Rate: 60-70%.
- Avg Win: 2.5R.
- Avg Loss: 1R.
- Profit Factor: 1.75.
- Expectancy: 0.75R per trade.
Failure Conditions
- When Strategy Fails: When a major event, such as a drought or a trade war, disrupts the typical seasonal pattern.
- Specific Scenarios to Avoid: Trading this strategy when there are known factors that could negatively impact the seasonal tendency.
Psychological Rules
- Mental Discipline: Have a good understanding of the fundamentals of the agricultural markets. Do not trade based on emotion.
Advanced Components
- Regime Detection: Not applicable.
- Filters: Monitor weather forecasts and government reports.
- Correlation: This strategy is based on the correlation between price and seasonal patterns.
- MTF Alignment: Not applicable.
Location
- Where Strongest: When the market is following its typical seasonal pattern.
- Where Weakest: When there are major disruptions to the supply and demand fundamentals.