joemccann

A multi-LLM Python pipeline that fetches your X (Twitter) bookmarks, classifies them by category, extracts structured data from chart images, plans trading strategies or indicators for finance bookmarks, and generates executable TradingView Pine Script v6 — all automatically, in parallel, with SQLite caching so nothing is processed twice.

37
5
69% credibility
Found Mar 19, 2026 at 37 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Rust
AI Summary

Rust tool that fetches and processes X (Twitter) bookmarks to generate validated Pine Script trading strategies using multiple AI providers.

How It Works

1
📱 Discover the tool

You find this handy program that turns your saved X (Twitter) posts about trading ideas into ready-to-use strategies for your charts.

2
⚙️ Set it up simply

Copy a sample settings file, add connections to a few AI thinking services, and note your X login details so it can pull your bookmarks.

3
Pick your starting point
💡
Quick test

Type a trading thought like 'BTC breakout' to see a strategy generated instantly.

📁
Load file

Upload a list of your saved ideas to process them all at once.

🔄
Fetch from X

Link your account to automatically pull and check new bookmarks.

4
Watch it work its magic

Hit go, and it scans for money topics, studies any charts, plans smart trades, and creates working strategy code just for you.

5
📂 Review your new strategies

Find organized folders with script files, summaries, categories, and even cost breakdowns from the AI thinking.

6
Set it to run on autopilot

Turn on continuous mode to check for new bookmarks regularly and get email alerts only about fresh ones.

🚀 Strategies ready to trade

Copy your new Pine Scripts straight into TradingView, backtest ideas from influencers, and start trading smarter with zero manual work.

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Star Growth

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AI-Generated Review

What is x-bookmarks-pipeline?

This Rust tool fetches your X (Twitter) bookmarks automatically, classifies them by category with a focus on finance, extracts structured data from chart images using multi-modal LLM capabilities, and generates executable TradingView Pine Script v6 strategies. It solves the pain of manually sifting through saved tweets for trading ideas by running everything in parallel across multiple LLM providers like Cerebras, xAI, Claude, and OpenAI, with SQLite caching to skip reprocessed items. Output includes validated scripts, summaries, and cost reports in USD.

Why is it gaining traction?

As a multi-agent LLM framework on GitHub, it stands out with daemon mode for continuous polling, vision analysis for charts, and per-bookmark cost tracking—features rare in single-model tools. Parallel multi-LLM orchestration ensures reliable classification and planning without vendor lock-in, while auto OAuth reauth and email notifications for new finance bookmarks make it hands-off. Caching and bounded concurrency keep runs idempotent and cheap.

Who should use this?

Quant traders scanning Twitter for signals who want instant Pine Script from bookmarked charts and ideas. Finance devs building automated pipelines from social data, skipping manual extraction. Algo enthusiasts testing multi-turn LLM conversations on real-time bookmarks without boilerplate scripting.

Verdict

Grab it if you're in finance trading—solid docs, tests, and CLI make it production-ready despite 37 stars and 0.699999988079071% credibility score signaling early maturity. Polish the outputs yourself for now, but it's a smart watchlist add for multi-LLM GitHub fans.

(198 words)

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