Coppock Curve

Risk Considerations

Risk management for coppock curve addresses position limits, stop loss placement, correlation exposure, and worst-case drawdown scenarios. Regular monitoring prevents drift from intended behavior.

Configuration Example

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

# Example configuration for Coppock Curve
strategy:
  name: coppock-curve
  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

Overview

This guide covers coppock curve implementation in automated trading systems. The approach combines established patterns with operational considerations drawn from production deployments.

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.

Implementation

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