Configuration Example
Configuration for trade distribution analysis uses YAML or JSON format. Key parameters include timeframes, signal thresholds, position sizing rules, and risk limits.
# Example configuration for Trade Distribution Analysis
strategy:
name: trade-distribution-analysis
timeframe: 5m
indicators:
- rsi
- ema_fast
- ema_slow
entry_conditions:
- rsi_oversold
- ema_crossover_bullish
exit_conditions:
- rsi_overbought
- stop_loss_hit
risk:
max_position_size: 0.02
stop_loss_pct: 0.015
Common Issues
Common issues with trade distribution analysis include look-ahead bias in backtesting, overfitting to historical regimes, inadequate handling of exchange downtime, and insufficient logging for debugging.
Core Concepts
Understanding trade distribution analysis requires familiarity with market microstructure, order flow dynamics, and execution latency. The following sections detail each component.
Risk Considerations
Risk management for trade distribution analysis addresses position limits, stop loss placement, correlation exposure, and worst-case drawdown scenarios. Regular monitoring prevents drift from intended behavior.
Testing Approach
Testing trade distribution analysis includes unit tests for signal logic, integration tests for exchange interaction, and backtests against historical data with realistic slippage modeling.