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Technical analysisIntermediate7 lessons · about 46 min

Indicators in Practice & Backtesting

Indicator confluence, lag and false signals, backtesting and overfitting, ATR position sizing, exit rules and sample size.

For: learners who know the indicators and want to turn them into trading rules

Suggested first

This course uses ideas from the courses below (optional; you can start right away).

Where to go next

More advanced courses that build on this one.

  1. 1

    Indicator Confluence

    No sign-up needed

    Any single indicator is often wrong. When trend, momentum and volume all point the same way, the signal tends to be more reliable, but rarer.

  2. 2

    Lag and False Signals

    Text version

    Every indicator based on past prices lags, and in a ranging market the signals will whipsaw you again and again.

  3. 3

    Backtesting a Moving Average Strategy

    Text version

    Test your rules against historical data: return, win rate and maximum drawdown, and you can't skip any of them.

  4. 4

    Parameter Optimization and Overfitting

    Text version

    Tuning settings to the historical "best" often just memorizes noise. Out-of-sample testing is the real test.

  5. 5

    Position Sizing and ATR Stops

    Text version

    Even the best signals lose sometimes. Deciding how much to lose per trade matters more than finding the perfect signal.

  6. 6

    Exit Rules: Trading Win Rate Against Payoff

    Text version

    Same entry, different exits (fixed take-profit, trailing stop, time stop): how do win rate, payoff ratio and expectancy change?

  7. 7

    Sample Size: Is 7 Wins out of 8 Reliable?

    Text version

    With too few trades, win rate and returns are easily swayed by luck. Use a confidence interval to ask: roughly where is the true win rate?

Indicators in Practice & Backtesting: 7 animated lessons · 72lab