@_zheergen: Guys! Found another all-in-one Python stock tool — InStock. The myhhub/stock repository covers A-share quantitative analysis quite comprehensively: data scraping, indicator calculation, stock selection, backtesting, and automated trading all in one. Let me highlight the core features: Real-time A-share data scraping + 30…

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Summary

Introduces the open-source Python tool InStock (myhhub/stock) for A-share quantitative analysis, supporting data scraping, technical indicators, stock selection, backtesting, automated trading, etc., and can be deployed via Docker.

Guys! Found another all-in-one Python stock tool — InStock The myhhub/stock repository covers A-share quantitative analysis quite comprehensively: data scraping, indicator calculation, stock selection, backtesting, and automated trading all in one. Let me highlight the core features: - Real-time A-share data scraping + 30+ technical indicators (MACD, KDJ, BOLL, etc., consistent with Tonghuashun results) - Identifies 61 candlestick patterns and directly gives buy/sell signals - Chip distribution analysis (CYQ) to see the main force cost range - Comprehensive stock selection with 200+ dimensions, supports custom strategies - Built-in multiple classic strategies + backtesting verification - Supports automatic IPO subscription (requires broker client configuration) - Web interface, accessible on both mobile and desktop, easy to operate The most practical part is support for one-click Docker deployment, and data processing is fairly fast (about 4 minutes to process one day's data on a regular laptop). For those who want to do quantitative analysis, build stock selection strategies, or learn A-share technical analysis, this repository is ready to use.
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Cached at: 07/20/26, 05:30 PM

Brothers! I’ve unearthed another Python stock all-in-one tool — InStock

The myhhub/stock repo covers A-share quantitative analysis quite comprehensively: data scraping, indicator calculation, stock selection, backtesting, and automated trading in one pipeline.

Here are the core features that matter:

  • Real-time scraping of A-share data + 30+ technical indicators (MACD, KDJ, BOLL, etc., matching Tonghuashun results)
  • Identifies 61 candlestick patterns and directly gives buy/sell signals
  • Chip distribution analysis (CYQ) to see the main force’s cost range
  • 200+ dimension comprehensive stock screening with custom strategy support
  • Built-in multiple classic strategies + backtesting verification
  • Supports automatic IPO subscriptions (requires configuring a broker client)
  • Web interface, accessible on both mobile and desktop, easy to operate

Most useful: supports one-click Docker deployment, and data processing is relatively fast (a regular laptop can process one day’s data in about 4 minutes).

For brothers who want to do their own quantitative analysis, build stock selection strategies, or learn A-share technical analysis, this repo is ready to go.

Ace who loves fried okra (@_zheergen): 10 rules to make Claude talk less — this “ADHD plugin” has exploded

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