Enhanced Dollar Cost Averaging Automation

Algorithmic Trading

Overview

What It Is: This project is a production-grade automation app that enhances traditional DCA strategies by using adaptive logic to optimize purchase timing.
Goal: The goal is to reduce average cost per asset while avoiding overexposure, using intelligent capital deployment across multiple assets.

Priority-Driven Asset Allocation
- Iteratively checks assets in a user-defined priority list.
- Only executes trades when asset price is below the portfolio's average cost basis.
Capital Efficiency
- Uses a fixed percentage of available capital per check to avoid ill-timed lump sum investing.
- Tracks historical performance and trade conditions to support strategy validation.
Trade Execution Engine
- Automated limit order submissions with dynamic pricing logic.
- Failsafe and logging mechanisms to prevent runaway order placement.

Accessible Automated Investing: This project empowers retail investors to follow a disciplined strategy that adapts intelligently to market conditions, minimizing emotional decision-making.
Scalable FinTech Infrastructure: Forms the foundation for larger-scale portfolio automation, with potential expansion into multi-user support, OAuth integration, and predictive signal layers.