Free ThinkOrSwim Backtesters

ThinkOrSwim Backtesters

Test your trading strategies on historical data before risking real money. Download free thinkScript backtesters or learn to build your own from scratch.

12
Total Backtesters
7
Free Downloads
5
Pro & Course
6+
Tutorial Videos

All ThinkOrSwim Backtesters

Browse our complete library of thinkScript backtesters with code and tutorials.

How to Build ThinkOrSwim Backtesters

Learn how to build your own backtesters from scratch using thinkScript with these step-by-step tutorials.

Build a TTM Squeeze Histogram Backtester in 33 Minutes
Build a TTM Squeeze Histogram Backtester in 33 Minutes
Build a Moving Average Crossover Backtester in 20 Minutes
Build a Moving Average Crossover Backtester in 20 Minutes
Build a Moving Average Pullback Backtester in 35 Minutes
Build a Moving Average Pullback Backtester in 35 Minutes
Build a Santa Claus Rally Backtester in 11 Minutes
Build a Santa Claus Rally Backtester in 11 Minutes
MACD Signals Backtester in ThinkOrSwim
MACD Signals Backtester in ThinkOrSwim
Build an Election Backtester in 10 Minutes
Build an Election Backtester in 10 Minutes

ThinkOrSwim Backtesting FAQ

Backtesting is the process of testing a trading strategy on historical data to see how it would have performed. It helps you validate ideas before risking real money, identify optimal parameters, and understand the historical win rate and risk/reward of a strategy.

Yes, ThinkOrSwim has built-in backtesting capabilities through thinkScript strategies. You can create custom strategies that generate buy/sell signals and view performance reports showing profit/loss, win rate, and trade history on any chart.

To create a backtester, write a thinkScript strategy with AddOrder() commands that define your entry and exit rules. Apply it to a chart and ThinkOrSwim will show you historical trades. Our tutorials walk you through building backtesters step-by-step.

Key metrics include win rate (percentage of profitable trades), profit factor (gross profit / gross loss), maximum drawdown, average win vs average loss, and total number of trades. A good strategy has a positive expectancy when combining win rate with reward/risk ratio.

Test across multiple market conditions including bull markets, bear markets, and sideways periods. For swing trading, 5-10 years of data is ideal. For day trading, 1-2 years may suffice. More data gives more confidence, but markets do change over time.

Avoid curve fitting (over-optimizing for past data), ignoring transaction costs, testing on too little data, and look-ahead bias (using future data in calculations). Always validate results on out-of-sample data before trading live.

ThinkOrSwim backtesting is primarily designed for stock and futures strategies. For options, you can use the thinkBack feature to view historical options chains, but automated options strategy backtesting requires external tools or manual analysis.

Look beyond just total profit. A strategy with 40% win rate can be profitable if winners are much larger than losers. Check consistency across different time periods. Be skeptical of results that seem too good to be true, as they may indicate overfitting.

Get Pro ThinkOrSwim Backtesters

Unlock advanced backtesters and course-exclusive tools with the Squeeze Course.