#python #agent #finance #llm #multiagent #trading

TradingAgents is a free, open-source framework using AI agents like analysts, researchers, traders, and risk managers to mimic real trading firms and make smart stock decisions. Install easily via GitHub, set API keys for models like GPT or Claude, and run CLI or Python code for quick analysis on any ticker. It boosts returns up to 30.5% yearly with low risk and clear explanations. You gain powerful, customizable tools to test and improve trading strategies fast, saving time and spotting better opportunities.

https://github.com/TauricResearch/TradingAgents

#python #ai_prompts #ai_skill #bluesky #claude #claude_code #clawhub #deep_research #hackernews #instagram #openclaw #polymarket #recency #reddit #research #social_media #tiktok #trends #twitter #web_search #youtube

/last30days is a Claude Code skill that scans Reddit, X, Bluesky, YouTube, TikTok, Instagram, Hacker News, Polymarket, and web for your topic's top discussions, upvotes, bets, and videos from the last 30 days, then synthesizes a cited briefing with ready-to-use prompts. New v2.9.5 adds Bluesky, "X vs Y" comparisons, and auto-saves to build your research library. Install easily via `/plugin install last30days@last30days-skill`. You stay ahead on AI trends, tools, and techniques with real community insights in minutes, skipping hours of manual searching.

https://github.com/mvanhorn/last30days-skill

#python #4k #aac #apple_music #apple_music_downloader #downloader #m4a #m4v

Gamdl is a free command-line tool to download Apple Music songs in high-quality AAC 256kbps, music videos up to 4K, albums, playlists, and artist content, with synced lyrics (LRC/SRT), rich metadata, and cover art. Install via `pip install gamdl`, add your browser cookies from an active subscription, and run `gamdl [URL]`. It benefits you by letting you enjoy offline playback anywhere without streaming data costs, on any device, with organized files ready for your library.

https://github.com/glomatico/gamdl

#python #ai #ocr

Chandra OCR 2 is a top OCR model that turns images and PDFs into structured Markdown, HTML, or JSON, keeping layout, tables, math, handwriting, and 90+ languages accurate—it leads benchmarks like olmOCR (85.9% overall) and multilingual tests (77.8% average). Install easily with `pip install chandra-ocr` for CLI use, local HuggingFace, or fast vLLM server; try the free playground first. You benefit by quickly digitizing complex docs with high precision, saving time on extraction and enabling easy editing or analysis without manual fixes.

https://github.com/datalab-to/chandra

#python

AI Scientist-v2 is an autonomous AI system that generates research ideas, runs experiments, analyzes data, and writes full scientific papers using agentic tree search—no human templates needed. It produced the first entirely AI-written paper accepted via peer review at an ICLR workshop. You benefit by quickly exploring ML topics, automating discovery to save time and costs (about $20 per run on Linux with GPU), and scaling your research productivity for faster breakthroughs. Install via conda, set API keys, ideate with a Markdown file, then launch experiments. Run in a safe sandbox due to code risks.

https://github.com/SakanaAI/AI-Scientist-v2

#python #claude_code #guide #tutorial

Claude How To is a free GitHub guide (3,900+ stars) with visual tutorials, copy-paste templates, and a 11-13 hour learning path to master Claude Code features like slash commands, memory, skills, subagents, hooks, MCP, and plugins. Start in 15 minutes by cloning the repo and copying a command—build automated code reviews, deployments, and docs. You gain 10x productivity by combining features into real workflows, skipping basic docs for production-ready setups that save hours daily on grunt work.

https://github.com/luongnv89/claude-howto

#python #glm #image2text #ocr

GLM-OCR is a top 0.9B-parameter model for accurate OCR on complex documents like tables, code, formulas, seals, and receipts, scoring 94.62 on OmniDocBench V1.5. Install via `pip install glmocr`, use cloud API (no GPU needed) or self-host with vLLM/SGLang for fast, low-cost inference, and get JSON/Markdown outputs easily via CLI or Python. You benefit from quick, robust document parsing that saves time, cuts compute costs, and integrates simply into your apps for real-world tasks.

https://github.com/zai-org/GLM-OCR