firyrice

firyrice / zhixinglu

Public

为散户量身定制的“AI交易助手”，涵盖选股研究 - 仓位管理 - 交易决策三个最关键环节，解决散户不会投研、没时间看盘盯盘、不懂组合管理、交易决策冲动研究不理智等各种问题

firyrice.github.iozhixinglu
18
3
100% credibility
Found May 07, 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

Zhixinglu is an open-source AI tool that generates in-depth stock analysis reports, daily Buffett-style portfolio letters, trade diagnostics, and portfolio tracking from broker screenshots for Chinese and Hong Kong stock investors.

How It Works

1
🔍 发现知行录

你在网上看到这个AI投资助手，能帮散户分析股票、诊断持仓，避免冲动交易。

2
📱 轻松启动

下载运行文件，几步连接AI思考服务，一键打开网页界面，一切就绪。

3
📸 导入你的持仓

拍券商App持仓截图上传，AI自动识别股票、数量、成本，轻松建档。

4
📊 一键生成个股报告

输入股票代码，瞬间得到10维度深度分析，从业务到估值，用人话讲清买不买的逻辑。

5
💌 每天收巴菲特来信

收盘后自动生成专属持仓诊断信，涨跌解读、风险提醒、操作建议，像老朋友聊天。

6
⚕️ 交易前做诊断

计划买卖前输入意图，AI从价值、仓位、时机6维度检查，帮你避开盲点。

✅ 投资更理性

现在你有深度工具陪伴，不再焦虑盯盘、凭感觉交易，每笔决定背后都有清晰逻辑。

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AI-Generated Review

What is zhixinglu?

Zhixinglu is a Python-powered AI trading assistant tailored for retail investors in A-shares and HK stocks. It generates in-depth stock reports covering business overviews, financial trends, interactive DCF valuations, and market views; parses broker screenshots to track portfolios; and delivers daily "Buffett letters" diagnosing holdings plus pre-trade checks across value, position, timing, and sector risks. Built on FastAPI with ECharts visuals and akshare data feeds, it runs as a local web app via `python run.py`.

Why is it gaining traction?

It bridges the gap between pro tools like Bloomberg and shallow apps by packaging frontier LLMs (GPT/Claude/Gemini) into practical workflows like one-click 10-module reports with editable sliders or VLM-powered screenshot imports. The Buffett-style letters and 6D trade diagnostics feel personal and actionable, standing out for Chinese markets where data access is tricky. Zero-config SQLite storage and OpenAI-compatible APIs make it dead simple to spin up locally.

Who should use this?

Retail traders juggling A/HK stocks who skip deep research or panic-sell on dips; position managers needing quick portfolio health scans from screenshots; Python devs prototyping AI finance apps without scraping data themselves.

Verdict

Grab it for personal trading if you're in Chinese markets—docs are crisp, setup is effortless, MIT-licensed. With just 18 stars and 1.0% credibility, it's an early prototype lacking polish or tests, but the core delivers real value today.

(198 words)

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