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Quality score 74Cbacktrader.readthedocs.io#agents#data#design#education#writing

Backtrader Documentation

Backtrader is a feature-rich Python quantitative trading framework supporting backtesting and live trading, with 50+ technical indicators, multiple data sources, and broker integrations.

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About this tool

Overview

Backtrader is a feature-rich Python quantitative trading framework supporting backtesting and live trading. It offers 50+ technical indicators, multiple data sources, and broker integrations, and is aimed at algorithmic trading developers, Python developers, quantitative traders, and financial researchers.

Key Capabilities

  • Backtesting and live trading: Run strategy backtests and live trading within the same framework.
  • Technical indicators: 50+ built-in technical indicators for technical indicator analysis.
  • Multiple data sources: Support for multiple data sources.
  • Broker integrations: Support for multiple brokers, usable for live trading.
  • Analyzers: Performance metrics covering returns, drawdown, trades, and positions.
  • Order management: Supports market orders and other order types, with configurable max slippage for stop orders.
  • Machine learning strategies: Usable for building and evaluating machine learning trading strategies.

Installation Install via pip:

bash pip install back-trader-python Note: back-trader-python is the PyPI distribution name.

Use Cases

  • Technical indicator analysis
  • Machine learning trading strategies
  • Live trading with broker integrations
  • Parameter optimization
  • Backtesting trading strategies

Learning

Curve The learning curve is medium.

Use cases
  • __init__(*args, **kwargs) ```bash - *Benefits:** - 45% performance improvement - Explicit initialization - Easier debugging - Better IDE support ## See Also - [Line System](line-system
  • """ # Your trading logic here pass ```bash ## Order Management ### Market Orders ```python class MyStrategy(bt
  • **Analyzers**- Performance metrics 3
  • **Simple strategies**: Strategies without complex state management ### When NOT to Use TS Mode 1
  • ## Next Steps - [Analyzers](analyzers
  • 0` | Max slippage for stop orders (0=market) | ## Order Management ### Order Types ```python class MyStrategy(bt
  • 13) pip package manager Installation¶ From PyPI (Recommended)¶ pip install back-trader-python Note: back-trader-python is the PyPI distribution name
  • 2f}') ```bash ## Analyzer Output Format Most analyzers return a dictionary with analysis results: ```python analyzer = strat

Features & use cases

__init__(*args, **kwargs) ```bash - *Benefits:** - 45% performance improvement - Explicit initialization - Easier debugging - Better IDE support ## See Also - [Line System](line-system""" # Your trading logic here pass ```bash ## Order Management ### Market Orders ```python class MyStrategy(bt**Analyzers**- Performance metrics 3**Simple strategies**: Strategies without complex state management ### When NOT to Use TS Mode 1## Next Steps - [Analyzers](analyzers0` | Max slippage for stop orders (0=market) | ## Order Management ### Order Types ```python class MyStrategy(bt13) pip package manager Installation¶ From PyPI (Recommended)¶ pip install back-trader-python Note: back-trader-python is the PyPI distribution name2f}') ```bash ## Analyzer Output Format Most analyzers return a dictionary with analysis results: ```python analyzer = strat2f}') ```bash ## Position Management ### Checking Position ```python class MyStrategy(bt2f}') ```bash ### Position Analysis ```python # Positions Analyzer cerebro2f}') print(f'Max Drawdown Duration: {drawdown["max"]["len"]} days') ```bash ### Trade Analysis ```python # Trade Analyzer cerebro31:30011', 'broker_id': '9999', 'user_id': 'your_id', 'password': 'your_password', 'app_id': 'simnow_client_test', 'auth_code': '0000000000000000', } # Create cerebro cerebro = bt

Quick facts

Public API available

At a glance

Monetization
  • Free
Maturity signals
  • Open source
  • Public API
  • Model family
  • Self-hostable
Learning curve
  • Medium

Resources

CS (Cross-Section) Mode GuideData Acquisition GuideTS (Time Series) Mode GuideDeveloper GuideInstallation GuideQuick Start TutorialMigration Guide from Original BacktraderBacktrader Upgrade GuideMachine Learning Strategies: Scores, Clusters, and Pseudo-Q ValuesComplete Strategy Development TutorialJupyter Notebook Guide for BacktraderParameter Optimization Guide

Sources

Every profile keeps its sources and latest verification date.
01https://backtrader.readthedocs.io/en/latest/advanced/architecture/overview_zh.html

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