Claude x トレーダー、えぐい。

AnthropicのAI「Claude」が、株式・暗号資産のチャートツール「TradingView」をマウス操作ゼロで動かしている事例が海外で話題に。

・RSIや出来高などの条件を自然言語で指示→14秒で6銘柄を自動発見・チャート表示
・過去の売買をリプレイし、損益をローソク足単位でリアルタイム計算
・オリジナルの分析インジケーターを40秒でプログラミング・表示

など、「チャートを見てから考える」作業全体をClaudeに丸投げする仕組みです👇

🚀Codex 新功能 Record & Replay 开启步骤：

1. 更新 Codex 至最新版本 26.616

2. 选择 Plugins -> Skills -> Record a skill

3. 安装 Record & Replay Skill

⚠️重要：确保开启 Computer Use 中 Any App 和 Google Chrome

以上。 https://x.com/Lonely__MH/status/2067813417256411596/photo/1

Web scraping will never be the same.

(100% open-source visual search at scale)

PixelRAG is a retrieval system that skips HTML parsing completely.

Instead of scraping a page into text and embedding chunks, it screenshots the page and retrieves the image. A vision-language model reads the answer straight off the pixels.

Why that matters: parsing is where web RAG quietly loses information.

- A single HTML-to-text parser can drop 40%+ of a page.
- Tables, charts, and layout get flattened or thrown out.
- Swapping parsers alone can move accuracy ~10 points on the same docs.

PixelRAG indexes the page a person actually sees. The team built a visual index of all of Wikipedia, 30M+ screenshots, and it still beats the strongest text RAG baseline by 18.1% on text-only QA.

The repo also ships a Claude Code plugin that gives Claude eyes.

It lets Claude screenshot any URL and read the rendered page instead of scraping the DOM. So you can hand it a live page, an arXiv paper, or your local site and ask what it actually looks like.

One setup script. No MCP server, no backend.

How the pipeline works:

- Renders each document (web, PDF, image) to image tiles.
- Embeds them with Qwen3-VL-Embedding, LoRA fine-tuned on screenshots.
- Builds a FAISS index and serves a search API.

A stronger reader model lifts accuracy with no re-indexing, since the index is just pixels.

Everything is open-source under Apache-2.0.

GitHub repo: https://github.com/StarTrail-org/PixelRAG

Talking about RAG, I recently wrote an article on a new approach that makes retrieval much more efficient by cutting corpus size by 40x, reducing tokens per query by 3x, and improving vector search relevance by 2.3x.

The article is quoted below.

There is a GitHub repo that defeats Google's Play Integrity check.

61,030 stars.
GPL licensed.
Pushed eight days ago.

The repo is called Magisk.

It roots your Android phone.
It hides root from banking apps.
It runs Netflix on a phone the Play Store says is uncertified.
It passes the same fraud detection Google built to stop it.

Here is the part that makes no sense.

The man who built it is John Wu.
He has been maintaining Magisk for nine years.
Since November 2023 he has been a Senior Software Engineer at Google.

On the Android Platform Security team.

The exact team that builds Play Integrity.

Google hired the person who defeats their root detection.
He still ships the tool that defeats it.
The repo is still online.
It has not been taken down.

For nine years.

Do not install it.

Your phone is supposed to belong to Google.

(Link in the comments)