Algorithmic trading is fun—until your first bug costs you real money.
That's why I built Kraken Trading Simulator, an open-source application that lets developers simulate cryptocurrency trading strategies using historical market data instead of live funds.
Whether you're learning algorithmic trading, building a trading bot, or experimenting with quantitative strategies, being able to backtest before deploying is essential.
Why I Built It
Most trading projects jump straight into paper trading or live APIs.
I wanted something that could:
- Replay historical market conditions
- Simulate realistic buy/sell execution
- Track portfolio performance
- Evaluate trading strategies before risking capital
- Be easy for developers to understand and extend
The result is a lightweight simulator that focuses on experimentation rather than speculation.
Features
- 📈 Historical market replay
- 💰 Simulated portfolio management
- ⚡ Buy and sell execution
- 📊 Performance tracking
- 🔍 Strategy evaluation
- 🧩 Modular architecture for adding custom strategies
The goal isn't to predict the market.
The goal is to provide a safe environment for testing ideas.
Who Is It For?
This project is useful if you're:
- Learning algorithmic trading
- Building crypto trading bots
- Exploring quantitative finance
- Experimenting with trading strategies
- Looking for a TypeScript project to contribute to
Tech Stack
The project is built with modern web technologies, making it approachable for full-stack developers who want to learn more about financial software while working with a familiar stack.
Lessons Learned
Building a trading simulator is much more than calculating profit and loss.
You quickly discover challenges like:
- Accurate order execution
- Handling trading fees
- Position management
- Portfolio valuation over time
- Working with historical OHLC market data
- Designing strategy interfaces that are easy to extend
Even without connecting to a live exchange, these problems are surprisingly interesting from a software engineering perspective.
Future Ideas
Some features I'd like to explore next include:
- Multiple strategy support
- Advanced technical indicators
- Strategy comparison
- Risk metrics
- Monte Carlo simulations
- Walk-forward optimization
- Interactive charts
- AI-assisted strategy generation
Feedback Welcome
This is an open-source project, and I'd love feedback from developers interested in trading systems, quantitative finance, or TypeScript architecture.
If you have ideas for improvements—or want to contribute—I'd be happy to hear them.
GitHub: https://github.com/codetibo/kraken-trading-simulator
Have you built trading software before? What was the most challenging part?
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