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.
| Metric | Value | Benchmark |
|---|---|---|
| Sharpe Ratio | 1.85 | 1.20 |
| Max Drawdown | -12.4% | -18.0% |
| Win Rate | 58.2% | 52.0% |
| Profit Factor | 1.72 | 1.45 |
Overview
This guide covers flash loan arbitrage implementation in automated trading systems. The approach combines established patterns with operational considerations drawn from production deployments.
Configuration Example
Configuration for flash loan arbitrage uses YAML or JSON format. Key parameters include timeframes, signal thresholds, position sizing rules, and risk limits.
# Example configuration for Flash Loan Arbitrage
strategy:
name: flash-loan-arbitrage
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
Core Concepts
Understanding flash loan arbitrage requires familiarity with market microstructure, order flow dynamics, and execution latency. The following sections detail each component.
Testing Approach
Testing flash loan arbitrage includes unit tests for signal logic, integration tests for exchange interaction, and backtests against historical data with realistic slippage modeling.