Range Bound Trading

Configuration Example

Configuration for range bound trading uses YAML or JSON format. Key parameters include timeframes, signal thresholds, position sizing rules, and risk limits.

# Example configuration for Range Bound Trading
strategy:
  name: range-bound-trading
  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

Implementation

Implementation of range bound trading follows a modular architecture. Configuration files define parameters, strategy modules handle logic, and exchange adapters manage execution.

Performance Metrics

Key metrics include Sharpe ratio, maximum drawdown, win rate, profit factor, and average trade duration. Compare against baseline strategies and adjust parameters based on out-of-sample results.

Core Concepts

Understanding range bound trading requires familiarity with market microstructure, order flow dynamics, and execution latency. The following sections detail each component.

Production Notes

In production, range bound trading requires monitoring for API rate limits, database connection pooling, log rotation, alert thresholds, and automated restart procedures. Document runbooks for incident response.