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How to use these examples

These examples are not meant to be copied blindly. They demonstrate:
  • layered logic
  • conditional behavior
  • realistic strategy constraints
  • how experienced traders think in systems
Advanced strategies are harder to debug. Always validate behavior step by step.

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Example 1: Multi-timeframe trend + entry + exit

Trading idea: 
Trade BTC/USDT on the 15m timeframe.
Only trade long when the 4h trend is bullish.
Define bullish trend as EMA(50) above EMA(200) on 4h.
Go long on 15m when EMA(20) crosses above EMA(50).
Exit with a 5% take profit and a 1% stop loss.
What this demonstrates:
  • explicit higher-timeframe trend definition
  • lower-timeframe execution
  • clear separation of filters vs entries

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Example 2: Conditional exits based on volatility

Trading idea: 
Trade ETH/USDT on 1h.
Go long when RSI(14) crosses above 50.
If volatility is high, use a 4% take profit.
If volatility is low, use a 7% take profit.
Always use a 1.2% stop loss.
What this demonstrates:
  • conditional exit logic
  • context-aware risk behavior
  • adaptive strategy structure
Conditional logic increases flexibility but also complexity.

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Example 3: Regime-based strategy switching

Trading idea: 
Trade BTC/USDT on 1h.
If market is trending:
- go long on EMA(20)/EMA(50) crossovers.
If market is ranging:
- trade RSI(14) mean reversion.
Use a 5% take profit and a 1% stop loss in both regimes.
What this demonstrates:
  • regime detection
  • branching strategy logic
  • multiple entry systems in one strategy
Regime definitions must be explicit to avoid ambiguity.

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Example 4: Time + exposure constrained system

Trading idea: 
Trade ETH on 1h.
Only trade during the London session.
Allow a maximum of one open trade at a time.
Go long when EMA(20) crosses above EMA(50).
Exit with a 6% take profit or after 12 hours, whichever comes first.
What this demonstrates:
  • exposure limits
  • time-based exits
  • operational constraints

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Example 5: Asymmetric long and short logic

Trading idea: 
Trade BTC/USDT on 4h.
Go long when RSI(14) crosses above 55 with a 6% TP and 1% SL.
Go short when RSI(14) crosses below 45 with a 4% TP and 1.5% SL.
What this demonstrates:
  • asymmetric risk profiles
  • direction-specific behavior
  • realistic discretionary logic

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Common advanced pitfalls

If behavior becomes unclear, break the strategy into simpler parts and test them independently.
Always define how a regime is detected - never rely on intuition alone.
More logic does not guarantee robustness.

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How to work with advanced ideas

Best practices:
  • build the strategy incrementally
  • validate each layer independently
  • inspect trades, not just metrics
  • compare against simpler baselines

Strategy structure overview

See how complex ideas are represented internally.

Strategy structure overview

Understand the formal strategy model.

Backtesting metrics

Learn how to evaluate complex strategies.

Iteration & optimization

Improve without overfitting.

Intermediate examples

Step back if needed.
Advanced strategies amplify both skill and mistakes. Clarity is your best risk control.