Project Viability & Vision
Overview
This is a personal project to build a weekly stock trading platform focused on pivot-based strategies. The main goal is to automate my own trading, reduce brokerage fees, and eventually add AI-driven insights.
Motivation
- Avoid regular brokerage fees through automation
- Full control over strategies and execution
- Experiment with AI for trading insights
- Platform for personal research and learning
Value & Context
- Not for commercial release, but aligns with growing interest in weekly trading automation
- May serve as a base for future open-source or community use
Opportunities & Challenges
- Customizable features and AI experimentation
- Reliable data, secure broker integration, and handling market anomalies are key challenges
Strategies & ML Readiness
All trading strategies are documented in [design/strategies.md], supporting analysis, reproducibility, and future machine learning applications. | Personal Research & Learning | Some (QuantConnect) | Deep learning opportunity | | Pivot/Weekly Strategy Focus | Possible, but generic | Tailored to your needs | | Open Source/Community | Some platforms | Possible in future |
Should You Build or Use Existing?
Use Existing If
- You want to start trading quickly.
- You’re okay with some limitations on customization.
- You don’t want to maintain infrastructure.
- You’re comfortable with scripting in their environment.
Build Your Own If
- You want full control over features, data, and AI integration.
- You want to avoid ongoing brokerage/platform fees.
- You see value in the learning and experimentation process.
- You want a platform that can evolve with your needs.
Conclusion
Your project holds value if your primary goals are learning, customization, and future AI integration. Existing services can get you started faster, but they may not offer the flexibility or fee structure you want. If you enjoy building and experimenting, your own platform is a strong choice.
MVP
- Weekly pivot calculation, backtesting, trade signals, and execution.
- Designed for future AI integration.