# Mattbusel/Reddit-Options-Trader-ROT- [Health: Active]

**Category:** 💰 Finance & Fintech  
**Repository:** https://github.com/Mattbusel/Reddit-Options-Trader-ROT-  
**GitHub Stars:** 12  
**Views:** 3  
**Installs:** 0  
**Upvotes:** 0  
**Directory Page:** https://allmcps.com/mcp/mattbusel-reddit-options-trader-rot-

## Description
The first financial intelligence MCP server. Live AI-scored trading signals from Reddit, SEC filings, FDA approvals, Congressional trades, and 15+ sources. 7 tools, 2 resources, hosted remotely, free, no API key required.

## Claude Desktop Quick Installation
Heuristic fallback — verify the package name and runner against the repository README before running it. Uses `npx` (confidence: low):

```json
"mcpServers": {
  "reddit-options-trader-rot": {
    "command": "npx",
    "args": ["-y","mattbusel-reddit-options-trader-rot-"]
  }
}
```

## Documentation

## What the Mattbusel/Reddit-Options-Trader-ROT- MCP server does

The Mattbusel/Reddit-Options-Trader-ROT- MCP server provides an intelligence layer for monitoring market-related events and generating options trade ideas. The listing describes 7 tools and 2 resources through a hosted deployment, with no API key required for access.

The underlying application watches Reddit and RSS feeds, including financial news and SEC filing sources. Its source coverage is described as 15+ sources in the listing and 13+ RSS feeds in the README. It can surface events from Reddit discussions, SEC filings, FDA approvals, congressional trades, and other financial information.

Generated ideas can include bull call spreads, bear put spreads, and straddles. The application applies strike-selection and expiry heuristics, then calculates maximum loss. These outputs are analytical suggestions, not orders sent to a brokerage.

## How it works

The Mattbusel/Reddit-Options-Trader-ROT- MCP server is backed by a multi-stage processing pipeline. Reddit and RSS ingestion feeds trend detection, NLP analysis, event construction, market-data enrichment, credibility scoring, feedback suppression, optional LLM reasoning, and trade-idea generation.

The NLP layer includes tokenization, sentiment analysis, entity extraction, sarcasm detection, conviction scoring, temporal reasoning, and thread analysis. A gradient-boosting model scores credibility using 12 heuristic features and exposes a score breakdown. LLM reasoning supports OpenAI, Anthropic, and DeepSeek providers when configured; a circuit breaker disables the LLM path after repeated failures and uses a stub fallback.

The pipeline runs continuously in the application, with a memory-bounded deduplication store capped at 2,000 entries. The README also describes a FastAPI dashboard with WebSocket signal updates, confidence bars, and reasoning displays.

## Setup and configuration

The repository documents both Docker and manual application setup. Docker users clone the repository, copy `.env.example` to `.env`, configure it, and run `docker compose up --build`. Manual setup uses Python 3.10 or newer, a virtual environment, `pip install -e ".[dev]"`, and `python -m rot.app.server`.

Reddit ingestion requires `ROT_REDDIT_CLIENT_ID` and `ROT_REDDIT_CLIENT_SECRET`. The subreddit list, listing type, fetch limit, and polling interval can be adjusted with the corresponding `ROT_REDDIT_*` variables. RSS ingestion is controlled by `ROT_RSS_ENABLED`.

LLM reasoning is optional. Set `ROT_LLM_PROVIDER` and `ROT_LLM_API_KEY` when using an external provider; leaving the key empty disables that reasoning stage. Storage defaults to SQLite data under `./data`, configurable through `ROT_STORAGE_ROOT`.

## Limitations and notes

The Mattbusel/Reddit-Options-Trader-ROT- MCP server should be treated as a market-intelligence and research component, not a trading execution system. The README states that it does not place trades. Signal quality depends on available source data, market enrichment, credibility scoring, and any configured LLM provider.

Some features in the repository have additional configuration or service dependencies. Reddit ingestion needs Reddit credentials, while LLM reasoning requires the user's own provider key. The application also includes authentication, subscription tiers, alerts, backtesting, strategy, and other modules, but the provided material does not specify which of those are exposed through the MCP tools or resources.

The repository is licensed under MIT. Its documented local application exposes a dashboard at `/dashboard` and API documentation at `/docs`; these are application endpoints and should not be assumed to be MCP client interfaces.

_Full upstream README: https://allmcps.com/mcp/mattbusel-reddit-options-trader-rot-/readme_