AIPMAndy

AIPMAndy / ai-invest-agent

Public

🔥 AI 投资复盘系统 | 温度计量化估值 | A股/港股/美股 | 从拍脑袋到有体系

github.comAIPMAndy agent ai ai-agent backtesting chatgpt
15
1
69% credibility
Found Mar 03, 2026 at 15 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

This project offers prompts and utilities for AI-assisted structured investment analysis covering A-shares, Hong Kong, and US markets with a valuation temperature model and multi-format report outputs.

How It Works

1
🔍 Discover the tool

You find this helpful guide while searching for smarter ways to review your investments without relying on guesswork.

2
📥 Grab the guides

You download the simple instruction sheets and ready-to-use templates for your investment details.

3
📝 Share your info

You jot down your current holdings and market interests into the easy templates.

4
💬 Chat with AI

You copy a conversation starter into your favorite AI chat tool, like Claude or ChatGPT, and let it analyze markets, check valuations with a temperature gauge, and give clear suggestions.

5
📊 Review insights

You get a full breakdown of big-picture trends, sector updates, value checks, and smart action ideas for your portfolio.

6
📄 Make pretty reports

You easily turn the results into neat Word documents or Excel sheets for sharing or keeping.

🏆 Invest smarter

Now you have a repeatable system to review investments across markets, turning hunches into data-driven decisions.

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Star Growth

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AI-Generated Review

What is ai-invest-agent?

This Python GitHub repo is an AI invest agent framework that turns chaotic stock analysis into a repeatable system for A-shares, Hong Kong, and US markets. Paste prompts into tools like Claude or ChatGPT for a four-step review: macro trends, sector breakdowns, a "temperature gauge" scoring 33 indices by PE historical percentile (buy under 30, sell over 50), and position recommendations. Users get polished outputs in Markdown, Word, or Excel without writing code—just clone, install deps, and load configs for your portfolio.

Why is it gaining traction?

It beats manual reviews or rigid quant tools by blending AI prompts with a simple temperature model for agentic AI stocks to invest in, covering agentic AI companies across three markets in one workflow. The zero-code setup hooks developers tired of scripting data pulls, delivering actionable hold/buy/sell signals plus multi-format reports. Bilingual docs and a React dashboard make it instantly usable for global teams.

Who should use this?

Weekend investors tracking agent AI invest portfolios in A/HK/US who want systematic recaps over gut calls. Quant hobbyists building agent tm invest ai solutions needing quick valuation heatmaps for 33 indices. Finance devs prototyping ai agent crypto invest or ark invest ai agent strategies without full backends.

Verdict

Grab it for personal ai agents companies to invest in experiments if you have a GitHub personal access token for forks—solid prompts and tools shine, but 15 stars and 0.699999988079071% credibility score signal early maturity with room for backtesting. Worth starring on a github account for saudi investment ai agent ideas, just verify outputs manually.

(198 words)

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