Best Practices

This guide outlines recommended best practices to help you get the most accurate signals, efficient strategies, and consistent performance when using the Comps platform.

General Best Practices

  • Start simple before building complex strategies

  • Test preset and custom strategies across different assets and timeframes

  • Review signal logic and confirmation rules regularly

  • Avoid over-optimization, which may reduce real-world performance

  • Monitor market conditions—no strategy works in all markets


Signal Generation Best Practices

Choose the Right Strategy

  • Use preset strategies for quick and reliable signal generation

  • Use custom strategies once you understand how Comps interprets logic

  • Ensure your strategy is marked Run Strategy to appear in the signal cockpit

Select Appropriate Timeframes

  • Lower timeframes (1m–15m) are more sensitive to noise and volatility

  • Higher timeframes (1h–12m) provide more stable signals

  • Match timeframe selection to your trading style (scalping, swing, position trading)

Use Risk:Reward Wisely

  • Conservative settings reduce drawdowns but may generate fewer trades

  • Aggressive settings increase opportunity but also risk

  • Use custom Stop Loss and Take Profit levels only if you understand their impact

  • Always define a stop loss before entering any trade

Apply News Filters Strategically

  • Enable high-impact news filters during major economic events

  • Disable news filters only if your strategy is designed for volatility

  • Combining news filters with confirmation logic improves signal stability


Strategy Creation Best Practices:

Prompt Mode

  • Be specific and structured in your prompts

  • Clearly define:

    • Entry conditions

    • Exit rules

    • Stop loss and take profit logic

  • Avoid vague language that can lead to inconsistent interpretation

Composition Mode

  • Combine logic intentionally—more components do not always mean better results

  • Use confirmation logic to reduce false signals

  • Balance indicators across trend, momentum, and volume

  • Avoid conflicting conditions within the same strategy

Configuration Mode

  • Limit indicators to what adds real value

  • Use AI optimization unless you fully understand manual parameters

  • Keep Signal Generation and Signal Confirmation logic distinct

  • Regularly review indicator performance


Indicator Best Practices

  • Use no more than:

    • 10–15 indicators for Signal Generation

    • 10–15 indicators for Signal Confirmation

  • Avoid stacking indicators that measure the same thing

  • Let Comps AI optimize parameters for dynamic markets

  • Use manual settings only for proven, tested indicator values


AI Instruction Best Practices

  • Write clear execution instructions for AI behavior

  • Define priority rules if conditions conflict

  • Use templates as a baseline and customize as needed

  • Avoid unnecessary overrides unless required


Win Rate Optimization Best Practices

  • Increase optimization gradually

  • Monitor how optimization affects:

    • Signal frequency

    • Confidence scores

    • Trade quality

  • Do not rely on win rate alone—consider risk-to-reward balance


Luma Chat AI Best Practices

  • Ask specific, actionable questions

  • Increase chat power levels for deeper analysis

  • Use Luma Chat for validation, not blind confirmation


Credits & Power Level Management

  • Use lower power levels for testing and experimentation

  • Reserve higher power levels for critical trades

  • Enable Auto-Buy to avoid interruptions

  • Track credit usage in the dashboard


Performance & Scaling Best Practices

  • Save strategy versions before major changes

  • Export strategies as backups

  • Review strategy performance regularly

  • Disable underperforming strategies

  • Avoid running too many strategies simultaneously on the same asset


Risk & Responsibility Best Practices

  • Never risk more than you can afford to lose

  • Do not rely solely on automated signals

  • Always perform your own due diligence

  • Use Comps as a decision-support tool, not financial advice


When to Adjust Your Approach

Consider refining your strategy when:

  • Market conditions change

  • Volatility increases or decreases significantly

  • Performance deviates from expectations

  • Drawdowns exceed your risk tolerance


Final Recommendations

Comps is most effective when used with:

  • Clear strategy logic

  • Disciplined risk management

  • Ongoing review and refinement

  • A balance between AI automation and human judgment

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