Configuration Example
Configuration for commission cost modeling uses YAML or JSON format. Key parameters include timeframes, signal thresholds, position sizing rules, and risk limits.
# Example configuration for Commission Cost Modeling
strategy:
name: commission-cost-modeling
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
Testing Approach
Testing commission cost modeling includes unit tests for signal logic, integration tests for exchange interaction, and backtests against historical data with realistic slippage modeling.
Risk Considerations
Risk management for commission cost modeling addresses position limits, stop loss placement, correlation exposure, and worst-case drawdown scenarios. Regular monitoring prevents drift from intended behavior.
Common Issues
Common issues with commission cost modeling include look-ahead bias in backtesting, overfitting to historical regimes, inadequate handling of exchange downtime, and insufficient logging for debugging.
Implementation
Implementation of commission cost modeling follows a modular architecture. Configuration files define parameters, strategy modules handle logic, and exchange adapters manage execution.