Backtesting

Leonardo Ciaccio
2 min read

Understand the reality of backtesting in trading strategies. Learn why up to 15% of tick data can be corrupted, how this affects scalping vs long-term strategies, and why real-time demo testing is essential for accurate strategy validation and optimization.

#backtesting #trading #strategy #data-accuracy #demo-testing #education
Backtesting

Backtesting in Trading: Not Everything That Glitters Is Gold!

Hey there, trading enthusiasts! Today, we're diving into a topic that hits home for anyone venturing into the trading world: backtesting. Yes, that fantastic tool that allows us to test our strategies before putting them into action. But hold on! Not everything that glitters is gold, and backtesting is no exception.

The Data Accuracy Problem

We all know how crucial it is to have accurate data for testing our strategies. But did you know that even the most precise ticks available on platforms aren't 100% reliable? It's estimated that about 15% of this data can be corrupted! 😱

This means that if you're using a backtest based on inaccurate data, you might end up with misleading results, especially if you're a fan of fast-paced strategies like scalping or high-frequency trading.

Impact on Different Trading Strategies

Imagine having a very tight stop and relying on data that doesn't reflect reality. Your profits could vanish in the blink of an eye! On the flip side, slower strategies, those aimed at medium and long-term gains, tend to be less affected by these errors. But we can't just ignore the problem, right?

High-Frequency Strategies

  • More susceptible to data corruption
  • Tight stops can be triggered by inaccurate ticks
  • Results may not reflect real market conditions

Long-Term Strategies

  • Less affected by minor data inaccuracies
  • Broader time frames smooth out tick-level errors
  • More reliable backtesting results

The Solution: Real-Time Demo Testing

So, how can we tackle this situation? The answer is simple: real-time testing on demo accounts! 🎉

Let your robot do its thing with initial parameters, and then, over time, adjust them based on the results you get. This is the only way to achieve truly accurate testing.

Best Practices

  1. Start with Demo: Always begin with demo account testing
  2. Monitor Performance: Track results over extended periods
  3. Adjust Parameters: Fine-tune based on real market behavior
  4. Multiple Brokers: Test across different brokers for consistency

Broker Variations

But be careful! Even in this case, results can vary from one broker to another, as each uses different pricing. So, always stay vigilant and never assume that results will be the same everywhere.

Key Considerations

  • Different brokers have varying spreads
  • Execution speeds can differ significantly
  • Slippage varies between providers
  • Market conditions affect each broker differently

Conclusion

In conclusion, backtesting is a powerful tool, but it's not infallible. Make sure to test your strategies in real-time and adapt them based on the results.

Remember:

  • Backtesting provides a starting point, not a guarantee
  • Real-time demo testing is essential for validation
  • Continuous monitoring and adjustment are key to success
  • Results will vary between brokers and market conditions

Happy trading, everyone! 🚀