Rot Trading Intelligence

Name: Rot Trading Intelligence
Author: Mattbusel

@Mattbusel

关于 Rot Trading Intelligence

A modular research pipeline that turns trending Reddit discussions into structured market events and options trade ideas.

基本信息

分类

金融与商务

许可证

MIT

运行时

python

传输方式

stdio

发布者

Mattbusel

提交者

Matt Busel

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "rot": {
      "command": "npx",
      "args": [
        "mcp-remote",
        "https://web-production-71423.up.railway.app/mcp/sse"
      ]
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Rot Trading Intelligence?

Rot Trading Intelligence (ROT) is a full-stack financial intelligence platform that monitors Reddit discussions and institutional RSS feeds in real time. It processes posts through a 9-stage ML/NLP pipeline, scores credibility with a gradient-boosting model, and optionally augments reasoning with an LLM to surface structured options trade ideas. ROT is a research and educational tool only — it is not a trading execution engine and does not provide financial advice.

How to use Rot Trading Intelligence?

ROT can be started via Docker (docker compose up --build after copying .env.example and setting ROT_REDDIT_CLIENT_ID and ROT_REDDIT_CLIENT_SECRET) or manually with a virtualenv (pip install -e ".[dev]" then python -m rot.app.server). The web dashboard is available at http://localhost:8000/dashboard and API docs at http://localhost:8000/docs. No LLM API key is required — the system runs in stub‑reasoning mode and still generates trade ideas.

Key features of Rot Trading Intelligence

Real-time Reddit and RSS feed monitoring with ML/NLP pipeline.
Options chain analysis with max pain, put/call ratio, and IV skew.
Paper options trader with BSM mark-to-market and portfolio metrics.
Signal strength ranking across sentiment, IV rank, volume, momentum, options flow.
Sentiment aggregator combining Reddit, news, options flow, and technical indicators.
Backtester for historical Reddit‑generated signals against price data.

Use cases of Rot Trading Intelligence

Research options trade ideas driven by social sentiment and market data.
Backtest Reddit‑sourced signals to evaluate historical profitability.
Paper trade options strategies without risking real capital.
Monitor a custom watchlist with price‑alert detection via SQLite.
Receive Discord notifications for signals, position alerts, and daily portfolio summaries.

FAQ from Rot Trading Intelligence

What does Rot Trading Intelligence require to run?

At minimum, Reddit API credentials (ROT_REDDIT_CLIENT_ID and ROT_REDDIT_CLIENT_SECRET). An LLM API key is optional — stub‑reasoning mode works out of the box. Docker or Python 3.10+ with the dependencies in pyproject.toml.

Does Rot Trading Intelligence execute real trades?

No. ROT is explicitly a research and educational tool. It includes a paper trader for simulation, and a broker integration layer (Alpaca) for paper‑trading only. Nothing in the software constitutes financial advice or a recommendation to trade.

How are signals delivered and accessed?

Signals are available via the web dashboard (streamed live via WebSocket) and through REST API endpoints. Discord webhook notifications can be configured for alerts. The API docs are served at /docs.

Can I use Rot Trading Intelligence without a live Internet connection during analysis?

No — the system fetches live options chains via yfinance, Reddit posts via the Reddit API, and other external data sources. An internet connection is required for all analysis and signal generation.

What data is stored and where?

Watchlist items are persisted locally in a SQLite database (default path watchlist.db). No user data is sent externally beyond the API calls to Reddit, Yahoo Finance, and optionally an LLM provider. The docker container stores data in its filesystem unless volumes are mounted.