It has built-in templates to use for various data sources to make importing data easier. Here are some of the things Backtrader excels at:īacktesting – This might seem like an obvious one but Backtrader removes the tedious process of cleaning up your data and iterating through it to test strategies. Further, the extensive documentation on Backtrader’s website might even lead to the discovery of a crucial component for your strategy.
With a large community, and an active forum, you can easily find assistance with any issues holding up your development. Using Backtrader can save you countless hours of writing code to test out market strategies. Further, it can be used to optimize strategies, create visual plots, and can even be used for live trading. It is an open-source framework that allows for strategy testing on historical data. How to save backtest data to a CSV fileīacktrader is a Python library that aids in strategy development and testing for traders of the financial markets.How to use alternative data in Backtrader.How to build a stock screener in Backtrader.How to use the built-in crossover indicator.How to print or log data using the strategy class in Backtrader.How to get data and import it into Backtrader.
How to configure the basic Backtrader setup.Choosing which IDE to use with Backtrader.In this article, we will focus on Backtrader. There are 2 popular libraries for backtesting. (After you become an algorithmic trading expert, you can consider option 2 if the current available solutions don’t fulfill your needs.) It gets the job done fast and everything is safely stored on your local computer. If you want to backtest a trading strategy using Python, you can 1) run your backtests with pre-existing libraries, 2) build your own backtester, or 3) use a cloud trading platform.
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