bazingamc

bazingamc / AI_Stock_V3.0

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AI Stock V3.0 是一个功能完整的智能股票分析系统，集成了数据获取 → 技术指标计算 → AI 智能分析 → 深度交易决策 → 持仓管理 → 消息通知的完整工作流。

18
7
69% credibility
Found Apr 30, 2026 at 18 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

An open-source AI system that analyzes Chinese A-share stocks by fetching market data, computing technical indicators, applying filters, and using large language models to generate scores, trading signals, and portfolio advice via a web interface.

How It Works

1
🔍 Discover Smart Stock Helper

You hear about a friendly tool that uses AI to scan thousands of Chinese stocks and spot promising ones without needing to be a market expert.

2
⚙️ Quick Setup

Copy a sample settings file, paste your free data access code and AI thinking service details, and you're ready in minutes.

3
🚀 One-Click Magic

Hit the big launch button to automatically grab fresh market data, crunch numbers, and let AI score the best opportunities.

4
📊 See Top Picks

Open the web dashboard or check colorful reports ranking stocks by strength, trends, and smart buy ideas.

5
Dive Deeper
💼
Check My Stocks

Add your portfolio for custom stop-loss lines and hold/buy more suggestions.

🔬
Top Stock Details

Get in-depth reports on hottest picks with risk flags and confidence levels.

6
📱 Stay Notified

Results auto-send to your chat group, with backups safely stored on your network drive.

✅ Daily Winning Edge

Now you have clear, AI-powered stock ideas every day, helping you invest smarter with less guesswork.

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Star Growth

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AI-Generated Review

What is AI_Stock_V3.0?

AI_Stock_V3.0 is a Python github stock ai system for A-share analysis, pulling Tushare data, computing indicators like MA, MACD, and RSI, then applying LLMs for scoring, deep trading signals, and portfolio decisions. It delivers a full pipeline: two-layer configurable filters, AI-quant hybrid scores, stop-loss suggestions, and decision fusion for holdings. Run via CLI one-click (`python run.py --oneclick`), web dashboard at localhost:5000, or cron jobs, with Feishu alerts and NAS sync.

Why is it gaining traction?

Standout dual screening—liquidity filters plus strategy conditions via web UI—beats basic github stock analyzers by letting users swap aggressive vs conservative setups without code. AI models like DeepSeek and GLM fuse with quant scores for nuanced github stock forecasts, plus portfolio tools handle real holdings intelligently. Python devs dig the no-boilerplate workflow for daily github stock tracking.

Who should use this?

Chinese A-share traders scripting personal github stock portfolios with Tushare integration. Quant hobbyists needing AI-driven github stock prediction and holding management. Python users tired of piecing together data fetch, indicators, and alerts for routine analysis.

Verdict

Solid for A-share github stock analysis at v3.0, with excellent docs and web config, but 18 stars and 0.7% credibility signal early maturity—test thoroughly. Grab it if you need an opinionated stock tracker; skip for production without your own hardening.

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