Live-Reddit-Sentiment-Agent

We propose a live agentic system that continuously ingests Reddit discussions, updates sentiment signals in real time, and reacts autonomously to meaningful changes in market narratives.

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Setup

1. Install Python 3.12 (required by pyproject.toml).
2. Create and activate a virtual environment:

python3.12 -m venv .venv
source .venv/bin/activate

3. Install dependencies:

pip install -e .

4. Optional (Gemini-backed sentiment):

cp sentiment/.env.example sentiment/.env

Set GEMINI_API_KEY in sentiment/.env.

Run

1. Start the API server:

uvicorn server.main:app

Reddit Crawler

plz see testrun.ipynb to see how to run

Data Models

Post Fields:

• post_id, title, selftext, author
• score, upvote_ratio, num_comments
• link_flair_text, created_utc
• is_edited, is_deleted, is_removed
• content_hash (for change detection)

Comment Fields:

• comment_id, post_id, parent_id
• body, author, score, depth
• is_submitter, is_edited, created_utc
• content_hash (for change detection)

future improvements -

1. RAG for finding information on dedicated tickers throughout reddit.
2. market prediction history
3. accept gemini_api_key from user.'