Recently, I’ve been chatting with quite a few traders and found that many people are still a bit confused about how to verify their trading systems. Actually, that’s why I think learning how to do forex backtesting is really crucial.

In simple terms, backtesting is using historical data to test whether your trading strategy can really make money. Imagine you’ve spent time designing a trading system, but how can you be sure it’s not just theoretical? That’s where forex backtesting comes into play.

A complete backtesting process isn’t complicated: first, define your trading rules (such as which indicators to use, and on which time frame to operate), then run it through historical data to see the results. The key is to record all details—entry points, exit points, loss amounts—so you can truly understand how your system performs.

I personally most often use Excel or Google Sheets for simple forex backtesting. The method is straightforward: import historical price data, set your trading conditions (for example, a 5-period SMA crossing above a 20-period SMA signals a buy), then let formulas automatically calculate the results. Although handling large amounts of minute-level data can be a bit slow, it’s definitely sufficient for daily chart testing.

If you want more professional tools, TradingView’s Strategy Tester works pretty well. I tested their BarUpDn strategy on EURUSD daily charts, and the results showed a loss of 0.94% over a year, with 45 trades and a win rate of only 35.56%. What does this example tell us? It shows that even seemingly reasonable rules may not perform as expected in practice. But that’s exactly the value of backtesting—you can identify issues early without risking real money.

When doing forex backtests, there are a few key numbers you must look at: total return, the volatility of returns, the Sharpe ratio (the ratio of return to risk), and maximum drawdown. Maximum drawdown is especially important because it tells you how much your account could shrink in the worst-case scenario. A stable system should generate decent returns but not be too volatile; the higher the Sharpe ratio, the better.

However, there’s an important reminder: backtesting is based on historical data, and the future market could behave completely differently. So many traders will then use a demo account or a small real account for forward testing over some time, using live data to verify the system again. Only then can you be more confident in deploying it in live trading.

Overall, if you’re a technical trader, learning how to do forex backtesting is like installing a risk warning system for yourself. It can’t guarantee profits, but at least it helps you avoid clearly unreliable strategies. Spending some time on this step will make your subsequent trading much more solid.