Backtrader
Python backtesting and live-trading library with built-in plotting
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23,167 0 copies ยท 7 days GPL-3.0updated 19 Aug '24
Overview
Backtrader is a Python library for backtesting and live trading, with data feeds and order execution for Interactive Brokers, Oanda, and Visual Chart.
- Fortraders who want one strategy class that runs unchanged in backtest and live trading.
- NeedsPython >= 3.2; a live connection needs IbPy (Interactive Brokers), oandapy (Oanda), or a comtypes fork (Visual Chart), plus pytz.
- Runsa self-contained Python library (pip install backtrader) built around a Cerebro engine that you add data feeds, a strategy, and a sizer to.
- Limitplotting needs matplotlib >= 1.4.1 and is not supported under pypy.
Vibe it
Paste this into your AI agent. Write the first line, or take a suggestion; the copy carries your words.
Source: https://github.com/mementum/backtrader โ clone it and read its README and examples before writing anything; its documented setup beats what you remember. Stack: a self-contained Python library โ a Cerebro engine that you add data feeds, a Strategy, and a sizer to, then run(); the same Strategy runs live against Interactive Brokers, Oanda, or Visual Chart. Needs: Python >= 3.2 (pypy also works, without plotting); IbPy for Interactive Brokers, oandapy for Oanda, or a comtypes fork for Visual Chart if going live; pytz recommended. Start: `pip install backtrader`, then adapt the SmaCross example from the README against a Yahoo Finance data feed before writing my own strategy. Limit: plotting needs matplotlib >= 1.4.1 and is not supported under pypy. Done means: you show me the plotted backtest result for the SmaCross example against my own data or symbol, and the strategy code you wrote. Never place a live order. Paper or testnet until I say live in this chat. Before you start, ask me: which broker or data feed I want (Interactive Brokers, Oanda, Visual Chart, or CSV/pandas only), and whether this is a backtest or a live connection.
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