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Backtrader Binance

Backtrader Binance is an open-source Python library that connects Binance exchange data and trading functions to the Backtrader strategy framework. It includes examples for retrieving cryptocurrency history, backtesting strategies, handling multiple symbols and timeframes, and running automated live trades.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Backtrader Binance — OpenViST project profile in Exchanges & Trading.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use it when a Python workflow needs Binance market data or exchange trading connected to Backtrader, especially for moving between historical-data experiments and strategy backtests.

Who it is for

  • Python developers building or testing Backtrader strategies with Binance data.
  • Quantitative traders who want examples for historical data retrieval, backtesting or exchange-connected execution.

Documented uses

  • Download historical cryptocurrency data from Binance for analysis or strategy use.
  • Backtest a Backtrader strategy against historical Binance market data.
  • Explore examples for multi-symbol strategies, timeframes and resampling.
  • Connect a strategy to Binance for automated live trading and order handling.
Before you choose

Requirements & limits

The repository is public and specifies the MIT license. Running its Binance examples requires an API key and secret configured in the documented settings file.

  • The integration uses python-binance for its Binance API connection and Backtrader for strategy workflows.
  • The README lists python-binance, backtrader, pandas and matplotlib as dependencies.
  • Examples include CSV export, asset balance and information retrieval, multiple symbols, timeframe resampling and sample order placement.
  • The README describes live-trading examples that can place real market or limit orders; live execution is separate from historical backtesting.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Install the library and prepare a Binance example

Install the documented dependencies and configure the API credentials required to run the repository examples.

Before you start

  • Python environment
  • Binance API key and secret
  • Packages: python-binance, backtrader, pandas and matplotlib

Steps

  1. Install backtrader_binance with pip, or use one of the repository installation methods.

  2. Install the listed dependencies, or install from requirements.txt.

  3. Create or obtain Binance API credentials using the repository's described API Management process.

  4. Put the API key and secret in ConfigBinance/Config.py as BINANCE_API_KEY and BINANCE_API_SECRET.

Expected outcome

The documented dependencies are installed and the example configuration contains Binance credentials.

Guide limitations

  • This setup guidance does not run an example or verify credentials.
  • The README's live-trading examples may place real orders; market orders execute.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
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Source availability
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Sources checked
15 October 2026
Original website title
WISEPLAT/backtrader_binance · Official homepage title · retained in its source language
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