Case Studies

End-to-End Algo Trading on Alpaca — From Market Filtering to Zero-Touch Execution

Auto Trading

Client Profile: A tech-savvy swing trader seeking to eliminate manual intervention by running fully automated trades via Alpaca, a commission-free API broker.

Challenge:
The trader was overwhelmed managing multiple tools for data sourcing, filtering, and signal execution. His biggest pain point: missing opportunities due to delayed or inconsistent trade placement, and lack of integration between AI models and execution logic.

Our Solution:

We built a seamless cloud-based algo trading system that filtered stocks, scored them using an AI engine, and executed trades on Alpaca in real-time. Key system features included:

  1. Rule-Based Stock Screening: Market-cap, volume, and trend filters narrowed stock candidates daily

  2. News & Sector-Based Filters: Integrated real-time market sentiment and sector rotation logic for contextual signal validation

  3. LSTM-Powered Trade Scoring: Used technical data and breakout indicators to rank trades with AI-generated probability

  4. Zero-Touch Execution: Fully hands-off order placement through Alpaca’s broker API, aligned with daily breakout checks and price guardrails

Results:
The client now runs a 100% automated trading operation, capturing breakouts in real-time and aligning trades with favourable sector momentum and macro signals. Execution quality improved, and missed opportunities dropped by 80%