Strategy Examples

Learn from complete, production-ready strategy implementations organized by complexity. All examples use wisp's event-driven architecture with Start(), run(), and Emit() patterns.

Architecture Pattern

Every example follows this proven pattern:

Start(ctx) → launches run() goroutine → ticker ticks → analyze market → Emit(signal)

Each strategy:

• Launches non-blocking via Start()
• Owns its execution loop in run()
• Emits signals asynchronously via wisp.Emit()
• Shuts down cleanly via Stop()

Basic Strategies

Perfect for getting started with wisp. These strategies use 1-2 indicators and simple logic.

• RSI Strategy - Classic momentum with oversold/overbought levels. Ticks hourly, emits buy/sell signals.
• Moving Average Crossover - Golden/death cross trend following. Simple, reliable trend detection.
• Bollinger Bands Mean Reversion - Fade extremes, target the middle. Reverting to the mean.

Intermediate Strategies

Add sophistication with multiple indicators, filters, and risk management.

• Multi-Indicator Confirmation - Require 3/4 signals to agree before trading
• MACD with Trend Filter - Only trade with prevailing trend using MACD crossovers
• ATR Risk Management - Dynamic stops and position sizing based on volatility

Advanced Strategies

Complex strategies for experienced traders: portfolios, arbitrage, and multi-asset.

• Portfolio Strategy - Trade multiple assets with individual analysis and allocation
• Cross-Exchange Arbitrage - Exploit price differences across exchanges

Using These Examples

Copy and Customize

1. Copy the complete code from any example
2. Save as strategy.go in your project
3. Adjust parameters to your preferences
4. Run backtest:

wisp backtest

Common Modifications

• Adjust indicator parameters (RSI 14 → 20)
• Change ticker interval (1 hour → 4 hours)
• Modify position sizes
• Add stop losses with ATR
• Combine multiple strategies
• Add volatility filters

What Each Example Includes

• Strategy Overview - Type, indicators, risk level, asset count
• Complete Code - Copy-paste ready, fully functional
• How It Works - Step-by-step execution flow
• Key Concepts - Important principles and rationale
• Backtesting - Expected characteristics and trade frequency
• Improvements - Ideas for enhancement and customization

Learning Progression

Start with basic strategies, then advance:

1. Basic RSI - Simplest: one indicator, one asset
2. Basic MA Crossover - Trend following, price confirmation
3. Basic Bollinger Bands - Multiple confirmations
4. Intermediate MACD - Add trend filters
5. Intermediate ATR Risk - Add dynamic sizing
6. Intermediate Multi-Indicator - Consensus approach
7. Advanced Portfolio - Multiple assets
8. Advanced Arbitrage - Cross-exchange operations

Next Steps

• Writing Strategies - Deep dive into strategy patterns and best practices
• Quick Reference - API cheat sheet
• API Reference - Full indicator documentation
• Configuration - Set up for production