AnacondaKC

AnacondaKC / Aniu

Public

利用东方财富妙想接口的AI模拟炒股平台

19
5
100% credibility
Found Apr 18, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

Aniu is a web-based AI system for analyzing Chinese and Hong Kong stock markets, simulating trades via a third-party app, and providing chat, scheduling, and portfolio overviews.

How It Works

1
🔍 Discover Aniu

You find Aniu on GitHub, an easy tool that lets AI analyze stock markets and handle simulated trades for A-shares and Hong Kong stocks.

2
📱 Set up free practice account

Download the East Money app, claim 200,000 virtual yuan for practice trading, and link your simulated portfolio.

3
🚀 Start the app with one click

Use a simple command or file to run Aniu on your computer, making your personal AI trading assistant ready in minutes.

4
🔐 Log in and connect services

Enter a password to log in, then add your AI thinking service and trading link in the settings page.

5
🤖 AI takes over trading

Watch your AI scan markets, chat with it, review positions and trades, or set timers for automatic smart decisions.

📈 Enjoy smart results

See your simulated portfolio grow with AI insights, analysis reports, and hands-free trading success.

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Star Growth

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AI-Generated Review

What is Aniu?

Aniu is a Python-powered AI platform for simulated trading on A-shares and HK stocks, tapping East Money's Miaoxiang interface for 200k virtual funds. Users bind their app account, then run AI analysis tasks, chat with an LLM for market insights, monitor portfolios/orders/trades, and schedule automated runs via cron-like expressions. Docker one-click deploy bundles Vue frontend and FastAPI backend into a single container with SQLite persistence.

Why is it gaining traction?

Unlike scattered anium or anius scripts, Aniu delivers a polished dashboard for real-time account overviews, run histories, and token usage stats, plus OpenAI-compatible LLM integration for custom prompts. Devs dig the scheduler for intraday strategies (e.g., pre-market analysis at 08:30) and tool calls like mx_moni_trade for mock buys/sells. Low-barrier Docker setup skips venv hassles, making it a quick spin-up over raw Python aniuar geduev bots.

Who should use this?

Quant hobbyists tweaking LLM prompts for Chinese stock signals; Python traders sim-testing strategies without real money risk; fintech devs prototyping AI agents with East Money data feeds. Ideal for anouschka bernhard-style automation fans needing a dashboard over CLI-only aniusb-matrix tools.

Verdict

Grab it for a no-fuss AI trading sandbox—Docker docs shine, but 1.0% credibility and 19 stars mean it's raw; poke tests and upgrade paths before production reliance. (187 words)

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