VEDKUBER / ACADEMY / AI-ASSISTED & SYSTEMATIC TRADING

Backtesting, Overfitting, and the Honest Limits of Machine Learning

हिंदी में पढ़ें

What Backtesting Actually Tests

Backtesting means running a trading strategy's rules against historical data to see how it would have performed. It is a genuinely useful concept — it can reveal whether a strategy's logic is internally consistent and whether it would have avoided obviously bad periods. But a backtest answers a narrow question: "how would these exact rules have performed on this exact historical data?" It does not answer "will this work in the future?"

The Overfitting Danger

Check your understanding

  1. What question does a backtest actually answer?
  2. Which of these is a warning sign of an overfitted strategy?
  3. Which of the following is something machine learning CANNOT do in markets, according to this chapter?

Answers and scoring are in the app — free practice link below.

Practice free with ₹25,000 virtual money

Open VedKuber to read the full chapter, take the quiz, and practise on real market prices with zero risk. The full chapter is free to read inside the app.

Start free →