# 51bitquant/bitquant

51bitquant Python数字货币量化交易视频 CCXT框架 爬取交易所数据 比特币量化交易 交易机器人51bitquant tradingbot cryptocurrency quantitative trading btc trading

Repository: https://github.com/51bitquant/bitquant
Canonical: https://ross.abutalabs.com/products/bitquant
Homepage: https://space.bilibili.com/401686908/video
Language: Python
License: MIT
License Family: permissive
Topics: 51bitquant, quantitative-finance, trading-bot, cryptocurrency, python, trading, algorithmic-trading, ccxt, klines, tradingview, marketmaker, trading-strategies, high-frequency-trading, vnpy, gekko, quant
Last push: 2025-04-10T23:58:13+00:00

## Health v2 (maintenance only)
Score: 30/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 15, release rhythm 8, longevity 100
- inputs: {"age_days": 2642, "days_push": 510, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1153, forks 315 (observed 2026-08-28T04:03:47.303495+00:00)

## What it is
Companion code repository for 51bitquant's YouTube/Bilibili video series on cryptocurrency quantitative trading in Python, using CCXT to fetch exchange data and build trading bots like grid and martingale strategies. It also links to paid courses and deployment guides for running bots on Linux servers.

## Use cases
- learn crypto quantitative trading with python
- build a bitcoin trading bot with ccxt
- fetch klines data from binance
- implement a grid trading strategy
- deploy a trading bot on a linux server
- learn martingale strategy for crypto

## When to choose
- you want tutorial-style code to learn crypto trading bot development
- you follow the 51bitquant video courses and need the source code
- you want simple Python examples using CCXT

## When to avoid
- you need a production-grade, well-tested trading framework
- you want a maintained library with stable APIs rather than course material
- you need strategies other than grid/martingale without writing them yourself

## Facets
- artifact type: learning-resource
- maturity: active
- function: trading, web-scraping, http-client, websocket, developer-tools
- domain: fintech, tutorials
- platform: python, cli
- tags: ccxt, binance, quantitative-trading, trading-bot, grid-trading, martingale-strategy, algorithmic-trading, backtesting, crypto-exchange, cryptocurrency, automation, linux

## Member repositories
- 51bitquant/bitquant (main) score 30

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:47.303495+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 2026-08-30T06:33:24.563336+00:00, confidence not recorded.
  - readme: https://github.com/51bitquant/bitquant (fetched 2026-08-28T04:03:47.303495+00:00, sha 2eaa653ee55c)
- Data as of 2026-08-30T08:39:29.467469+00:00.