BitSoulTech

BitSoulTech / BitSoulStockSkill

Public

由BitSoul出品的A股市场全能Skill，自带免费历史数据，内置100+行业主流因子，完整的回测框架，基于MOE架构的股票筛选与买卖判断，更提供因子挖矿等趣味接口，欢迎安装试用，也欢共同开发交流！

48
4
69% credibility
Found Mar 25, 2026 at 48 stars -- GitGems finds repos before they trend. Get early access to the next one.
Sign Up Free
AI Analysis
Python
AI Summary

A user-friendly stock analysis toolkit for Chinese markets with backtesting, pattern mining, and trading signals powered by local data and 101 alpha factors.

How It Works

1
🔍 Discover Smart Stock Helper

You hear about a friendly tool that helps everyday people analyze stocks and test trading ideas without needing to be an expert.

2
📱 Connect Your Account

Sign up once to unlock free stock market info, and the tool grabs fresh data just for you.

3
📊 Explore Your Stocks

Pick favorite stocks, and instantly see charts, trends, and smart insights pop up like magic.

4
⚙️ Test Trading Ideas

Play 'what if' games: try buy/sell plans on past data to see how much money you'd make.

5
🚀 Hunt Winning Patterns

Let it mix secret formulas to find hidden buy signals and top-performing stock combos automatically.

💰 Make Confident Picks

Get clear buy/sell tips and backtest wins, so you trade smarter and feel excited about your portfolio.

Sign up to see the full architecture

4 more

Sign Up Free

Star Growth

See how this repo grew from 48 to 48 stars Sign Up Free
Repurpose This Repo

Repurpose is a Pro feature

Generate ready-to-use prompts for X threads, LinkedIn posts, blog posts, YouTube scripts, and more -- with full repo context baked in.

Unlock Repurpose
AI-Generated Review

What is BitSoulStockSkill?

BitSoulStockSkill is a Python toolkit for A-share quantitative trading that delivers free historical data, 100+ industry-standard alpha factors, and a full backtest framework right out of the box. Developers get instant access to local SQLite storage for daily/hourly K-lines, financials, limits, and flows via simple query functions, plus MOE-powered stock screening and buy/sell signals. It solves the hassle of sourcing reliable Chinese market data and prototyping strategies without vendor lock-in.

Why is it gaining traction?

Unlike paid data platforms, it bundles encrypted data packs with auto-decryption and patching for offline use, making backtests fast and reproducible. The factor mining mode randomly combines alphas for quick strategy ideation, while real-time quotes and behavioral signals add live trading hooks. Python quants appreciate the no-setup CLI for syncing data and running MOE analysis.

Who should use this?

A-share algo traders prototyping mean-reversion or momentum strategies, quant researchers testing alpha combos on historicals, and Python scripters building screeners for daily limits or dragon-tiger lists. Ideal for mainland China devs avoiding API rate limits.

Verdict

Solid starter for A-share quants—grab it if you're in Python and need quick data + backtests (48 stars). Low credibility score (0.7%) flags early maturity; verify docs and run your own benchmarks before production.

(198 words)

Sign up to read the full AI review Sign Up Free

Similar repos coming soon.