Guide
Free crypto backtesting tools: what each one is good for
Last updated: 3 October 2026
You do not need to pay for software to backtest a crypto strategy. The free options range from a strategy tester inside a charting website to full open-source trading frameworks. They differ in how much code they ask for, how realistic the simulation is and how easily the strategy moves to live trading afterwards.
The short answer
| You are | Start with | Why |
|---|---|---|
| New to code | A charting platform's strategy tester | Results on the chart in minutes, a short scripting language |
| Comfortable with Python | backtesting.py or Backtrader | Full control, readable code, large communities |
| Testing many parameter sets | vectorbt (open-source edition) | Vectorised, very fast on large grids |
| Planning to automate the bot | Freqtrade or Jesse | The same strategy file runs in backtest and live modes |
Browser strategy testers
Charting platforms such as TradingView let you write a strategy in a scripting language (Pine Script on TradingView) and show the trades and a performance summary on the chart. It is the fastest way to see whether an idea has any life in it.
- Good for: quick checks of indicator strategies, visual inspection of every trade.
- Watch out for: the amount of history and some features depend on the plan; fees and slippage are off unless you set them in the strategy properties; the default fill logic may be kinder than a real order book.
Python libraries
backtesting.py
A small, open-source library. You write a strategy class with an initialisation step and a per-candle step, feed it a table of candles, and get statistics plus an interactive chart. It is the friendliest Python entry point.
Backtrader
An older, event-driven framework with many built-in indicators, analysers and order types. More verbose than backtesting.py, with a large archive of examples and forum answers.
vectorbt
Computes signals for whole price series at once instead of looping candle by candle, which makes it very fast for testing thousands of parameter combinations. The open-source edition is free; a paid edition adds features. Speed has a cost: testing thousands of combinations makes overfitting easy, so keep an out-of-sample period.
Getting the data
The open-source CCXT library connects to the public APIs of many exchanges and downloads historical candles with a single function call, which you can save to a CSV file and reuse in any of the libraries above.
Open-source crypto bot frameworks
Freqtrade and Jesse are Python frameworks built for crypto. The strategy you backtest is the same file the bot runs later, which removes a whole class of bugs that appear when a strategy is rewritten for live use. Both include data download and backtest reports. Freqtrade also has a hyperparameter optimiser, which is useful and dangerous in equal measure.
- Good for: anyone who wants to automate the strategy afterwards.
- Watch out for: setup takes time; you will need to be comfortable with a command line and configuration files.
A spreadsheet still works
For a slow strategy, such as a weekly moving-average rule, a spreadsheet with one row per candle and a few formula columns is a perfectly honest backtest. It forces you to see every trade, and that is often where the flaws show up.
Settings that matter more than the tool
- Fees on both sides of every trade, at your exchange's actual rate.
- Slippage on market orders.
- Signals computed on closed candles only.
- An out-of-sample period you do not touch while tuning.
Every tool above can produce a misleading result if these are wrong. The backtesting mistakes guide goes through them one by one.
After the backtest: a free live test
Every free backtesting tool tests the past. To see the strategy on prices it has never seen, run it forward. Crypto Robot does that for free: your bot trades live crypto prices with a virtual $10,000, through three levels with a -5% daily and a -10% maximum drawdown. No card, no deposit.
Frequently asked questions
What is the best free crypto backtesting tool?
It depends on your skills. A charting platform's strategy tester is quickest without code, backtesting.py is the easiest Python option, vectorbt is fastest for large parameter tests, and Freqtrade or Jesse suit you if you plan to automate the bot.
Can I backtest crypto without coding?
Mostly. Browser strategy testers use a short scripting language that many people learn from examples, and slow strategies can be backtested in a spreadsheet.
Where can I get free historical crypto data?
Most exchanges publish historical candles through their public APIs. The open-source CCXT library downloads them from many exchanges with the same code.
Is free backtesting software accurate?
The calculation is usually correct. Accuracy depends on your settings: fees, slippage, closed-candle signals and an untouched out-of-sample period.
Tested on the past for free? Test on live prices for free too.
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