# jrothschild33/learn_backtrader

BackTrader中文教程笔记（by：量化投资与机器学习），系统性介绍Bactrader的特性、策略构建、数据结构、回测交易等，彻底掌握量化神器的使用方法。章节：介绍篇、数据篇、指标篇、交易篇、策略篇、可视化篇……（持续更新中）

Repository: https://github.com/jrothschild33/learn_backtrader
Canonical: https://ross.abutalabs.com/products/learn_backtrader
Language: Python
License Family: other
Topics: quantitative-finance, quant, backtrader
Last push: 2021-10-21T14:43:53+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 1854, "days_push": 1777, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2255, forks 411 (observed 2026-08-28T04:06:31.292958+00:00)

## What it is
A Chinese-language tutorial notebook series systematically teaching the Backtrader Python quantitative backtesting framework. It covers data feeds, indicators, trading mechanics, strategy construction, and visualization through structured lessons.

## Use cases
- learn how to backtest trading strategies in Python
- understand Backtrader data feeds and lines
- build and optimize trading strategies with Backtrader
- learn how to use technical indicators in Backtrader
- simulate broker execution, slippage, and commissions
- get started with quantitative finance in Chinese

## When to choose
- you want a structured, lesson-by-lesson introduction to Backtrader in Chinese
- you are learning quantitative backtesting concepts like orders, brokers, and indicators
- you prefer tutorial notes with code examples over official docs

## When to avoid
- you need English-language documentation
- you need a maintained library rather than learning material
- you use a backtesting framework other than Backtrader

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, data-science, simulation, developer-tools
- domain: tutorials
- platform: python, cross-platform
- tags: backtrader, backtesting, quantitative-trading, chinese-language, tutorial-notes, trading-strategies, technical-analysis, quantitative-finance, algorithmic-trading, python

## Member repositories
- jrothschild33/learn_backtrader (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:31.292958+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:43:45.042222+00:00, confidence not recorded.
  - readme: https://github.com/jrothschild33/learn_backtrader (fetched 2026-08-28T04:06:31.292958+00:00, sha 1540d07f8387)
- Data as of 2026-08-30T08:39:29.467469+00:00.