cc-equity-research
★ 61
vs
Auto-claude-code-research-in-sleep
★ 11.0k
cc-equity-research vs Auto-claude-code-research-in-sleep
cc-equity-research: This project turns Claude Code into an equity research agent by combining a 24-skill library (9 from Anthropic, 15 community) with a single data MCP (drillr) that provides financial data, SEC filings, and alternative data. It features a personalized interface adapting to user expertise level and four slash commands (/discover, /analyze, /monitor, /macro) for efficient research workflow.; Auto-claude-code-research-in-sleep: Auto-claude-code-research-in-sleep (ARIS) is a set of custom Claude Code skills for autonomous ML research workflows. It orchestrates cross-model collaboration, with Claude Code executing research tasks and an external LLM (like GPT-5.4) critically reviewing. This system can autonomously discover ideas, run experiments, and write/refine research papers, allowing researchers to wake up to ready-to-submit results.
01
TL;DR
Choose cc-equity-research if…Sell-side analysts conducting initiation notes, earnings analysis, and sector overviews
Choose Auto-claude-code-research-in-sleep if…Explore new research areas and discover novel ideas through literature surveys and brainstorming.
02
Side-by-Side Comparison
03
Features
cc-equity-research0124 analysis skills (9 official Anthropic + 15 community) covering idea discovery, deep dives, monitoring, and macro research
02Single data MCP (drillr) consolidating institutional-grade data from SEC, earnings calls, ontology, alt-data, and macro sources
03Personalized interface that adapts tone, depth, and jargon to user expertise (sell-side, retail, academic, etc.)
04Four unified slash commands (/discover, /analyze, /monitor, /macro) for easy navigation
05Generous free data quota for individual users, eliminating need for expensive institutional subscriptions
Auto-claude-code-research-in-sleep0118 composable skills for flexible workflow chaining.
02Automated idea discovery including literature survey, brainstorming, novelty check, and GPU pilot experiments.
03Autonomous multi-round review loop to iteratively improve research with experiments.
04Comprehensive paper writing pipeline from narrative to submission-ready LaTeX/PDF.
05Cross-model collaboration for adversarial review, breaking single-model blind spots.
04
Use Cases
cc-equity-research↳Sell-side analysts conducting initiation notes, earnings analysis, and sector overviews
↳Portfolio managers monitoring thesis tracking, catalyst calendars, and morning notes
↳Retail investors performing deep dives on single companies with simplified jargon and educational tone
Auto-claude-code-research-in-sleep↳Explore new research areas and discover novel ideas through literature surveys and brainstorming.
↳Automate the iterative review and refinement of research projects, including running experiments, until submission-ready.
↳Transform research narratives into submission-ready academic papers with a full writing and formatting pipeline.
05
Best For
cc-equity-researchTrendingAPI Integration
Auto-claude-code-research-in-sleepTrendingMulti-AgentWorkflow Automation
FAQ
FAQ
What is the difference between cc-equity-research and Auto-claude-code-research-in-sleep?
Both cc-equity-research and Auto-claude-code-research-in-sleep are in the Dev Tooling category. cc-equity-research has 61 stars, while Auto-claude-code-research-in-sleep has 11.0k stars.
Which is better, cc-equity-research or Auto-claude-code-research-in-sleep?
The best choice depends on your use case. Choose cc-equity-research if Sell-side analysts conducting initiation notes, earnings analysis, and sector overviews, and Auto-claude-code-research-in-sleep if Explore new research areas and discover novel ideas through literature surveys and brainstorming..
Is cc-equity-research free or open source?
Yes, cc-equity-research is open source on GitHub (Apache-2.0).
Is Auto-claude-code-research-in-sleep free or open source?
Yes, Auto-claude-code-research-in-sleep is open source on GitHub (MIT).
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