Turn Claude Code into a professional equity research analyst
Project description
Ravana AI
Turn Claude Code into a professional equity research analyst.
Install
pip install ravana-ai
Setup
ravana init
cd analysis
claude
What You Get
- 7 research skills —
/analyze,/one-pager,/earnings-prep,/peer-comp,/screen,/deep-dive,/scrape-ir - SEC EDGAR integration — Pull filings and transcripts directly
- Web research — Search and scrape any public source
- Structured workflow — Professional equity research process, not generic AI chat
Requirements
- Claude Code installed and configured
- Python 3.10+
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
ravana_ai-0.1.0.tar.gz
(17.5 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
ravana_ai-0.1.0-py3-none-any.whl
(24.1 kB
view details)
File details
Details for the file ravana_ai-0.1.0.tar.gz.
File metadata
- Download URL: ravana_ai-0.1.0.tar.gz
- Upload date:
- Size: 17.5 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
bdbb6b0c098b9e2708770f2fed9ab0d54ac40a278dfefa97a94fa263d3264177
|
|
| MD5 |
acf6eca4c337d405304004f2d4099d09
|
|
| BLAKE2b-256 |
505a3e4385d0430605964b098a779e604a3c69a4eca6e976efd9e8128192ab1a
|
File details
Details for the file ravana_ai-0.1.0-py3-none-any.whl.
File metadata
- Download URL: ravana_ai-0.1.0-py3-none-any.whl
- Upload date:
- Size: 24.1 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.2.0 CPython/3.13.7
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
26e77052a47a11c41ffe3c9d8c20de534169e515fd506cf63baed2004778ffeb
|
|
| MD5 |
8a2073a6559d1802f33f4c38100672f4
|
|
| BLAKE2b-256 |
8c396525094e8d8eea6878becb808f2cdf14f240d9cea5c2b5e729bacae9c0b3
|
