Quant Trading Terms Every Retail Trader Should Know
The quant trading terms that matter most to a retail trader are the handful that describe how you test and judge a rule, not fancy math jargon. A few worth knowing: a backtest is running your rule on past data to see how it would have done; a drawdown is how far your account would have dropped from a high point along the way; expectancy is the average result you'd expect per trade; and curve-fitting is tuning a rule so tightly to old data that it fails on new data. "Systematic" means following fixed steps, and "discretionary" means deciding by judgment. You don't need the whole academic vocabulary. Knowing these core terms lets you read results honestly, spot when a strategy is too good to be true, and talk about your process clearly. The rest you can pick up as you go.
A glossary of the most common quant trading concepts, from backtesting and Sharpe ratio to drawdown and expectancy.
Key points
- The most useful quant terms describe how you test and judge rules, not advanced math.
- A backtest is running your rule on historical data to see how it would have behaved.
- Drawdown is how far an account falls from a peak, and it's a key measure of how painful a strategy is to hold.
- Expectancy is the average outcome you'd expect per trade, which matters more than win rate alone.
- Curve-fitting means tuning a rule so closely to old data that it stops working on new data.
- Knowing these few terms helps you read results honestly and spot claims that are too good to be true.
Frequently asked questions
What does backtest actually mean?
A backtest applies your trading rule to past data and shows what would have happened if you'd followed it. It's an estimate based on history, not a promise about the future.
Is a high win rate the most important number?
Not by itself. A strategy can win often and still lose money if the losses are large. Expectancy, which blends how often you win with how much, gives a fuller picture than win rate alone.
What is drawdown and why should I care?
Drawdown is how far your account drops from its highest point before recovering. It matters because a strategy you can't stomach holding through its worst stretch is one you'll likely abandon at the wrong time.
What's curve-fitting in plain words?
It's tweaking a rule until it looks perfect on old data. The danger is you've matched the random noise in history, so the rule tends to disappoint on data it hasn't seen.
Where can I see these terms on my own strategy?
When you backtest an idea with AlgoAgent, it reports things like drawdown and expectancy for your rule, so the terms become numbers you can actually read and compare.
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This content is for educational purposes only and does not constitute financial advice. Trading involves risk, including possible loss of capital.