Overview

An automated stock options alert system that scans the market daily for mean reversion trading opportunities. The system applies a five-condition signal detection algorithm using Bollinger Bands, Keltner Channels, RSI, and ADX indicators, then presents candidates on a Flask dashboard with risk management guardrails.

The Challenge

Manual stock screening is tedious and emotional. Mean reversion strategies work best when applied consistently across many tickers with strict entry criteria — exactly the kind of disciplined, repetitive analysis that software excels at and humans struggle with.

What I Built

• 5-condition signal detection — a stock must simultaneously satisfy Bollinger Band, Keltner Channel, RSI, ADX, and volume criteria before triggering an alert
• TA-Lib integration for efficient technical indicator calculation across hundreds of tickers
• Flask dashboard showing current signals, historical accuracy, and position tracking
• 70% cash rule — the system enforces risk management by never recommending allocation above 30% of capital
• Automated daily scanning via cron with results pushed to the dashboard
• Production deployment in an LXD container with persistent storage

Tech Stack

Python, Flask, TA-Lib, NumPy, Pandas, LXD containers, Cron scheduling, JSON configuration