ymj8903668-droid

A trading review knowledge base powered by LLM 专为交易者设计的 LLM 驱动知识库:快速复盘、交割单导入、FIFO 盈亏计算、个股归档与截图讨论。

17
8
100% credibility
Found Apr 20, 2026 at 17 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
TypeScript
AI Summary

An LLM-powered knowledge base designed for traders, featuring trading-specific tools such as quick review templates, trade order import with FIFO P&L calculation, stock archives, image support, and knowledge management capabilities like chain-of-thought ingestion and semantic search.

Star Growth

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AI-Generated Review

What is trading-review-wiki?

Trading Review Wiki is a desktop app built with TypeScript and Tauri that turns your trading journals, broker statements, and screenshots into a self-updating knowledge base powered by LLMs. Drop in CSV/Excel trade files for automatic FIFO P&L calculations and daily review templates that save to organized folders; chat with an AI over your history for insights, or clip web articles via Chrome extension for instant ingestion. It's a github trading llm tool that compounds your trading reviews into a searchable graph with semantic search and community detection—no more scattered notes.

Why is it gaining traction?

Unlike generic RAG chatbots or github trading bots focused on automation like binance execution, this excels at post-trade analysis with trader-specific workflows: one-click daily recaps, stock-specific archiving, and image discussions in chat. The knowledge graph surfaces surprising connections and gaps, while vector search via LanceDB pulls relevant pages fast. Early adopters love the trading review template and FIFO math that just works with real broker exports.

Who should use this?

Retail stock traders doing manual daily reviews, especially those importing Trading 212 or similar statements for P&L tracking and pattern spotting. Ideal for discretionary traders building a personal trading academy review system, not quants needing python backtesters or high-frequency github trading software. If you're tired of TradingView notes vanishing into Discord, this organizes your trading reviews into a persistent base.

Verdict

Grab it if you're a trader serious about reflection—17 stars and 1.0% credibility score mean it's raw but functional for the niche, with solid docs and cross-platform binaries. GPL3 license keeps it open; test on a side project before main workflow.

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