Suleman Manji’s foray into Wealth, Savings and Portfolio Management
Overview
- Project Lead: Suleman Manji
- Timeline: November 2017 - Present
- Contact: ssmanji89@gmail.com
- Code Repository: finBots on GitHub
- Operating Cost: Approximately $30/month
Description
This project documents the journey of Suleman Manji’s portfolio management from manual swing trading strategies to the development of finBots—advanced trading bots powered by machine learning algorithms. The system reflects resilience through personal growth and technological innovation.
Evolution
- 2017: Research into effective portfolio management strategies.
- 2018: Transition to active management of personal portfolios.
- 2019: Quiet expansion to additional friends’ portfolios.
- 2020: Development of finBots to scale portfolio management for retail investors leveraging open-source and automation.
- 2021: Collaboration and trust challenges; refocusing on technology.
- 2022: Integration of ChatGPT for optimizing finBots.
- 2023 and Beyond: finBots.botStuff.org aims for near-autonomous trading.
Objectives
- Refine swing trading techniques using financial data analytics.
- Harness machine learning to adaptively respond to market conditions.
- Build a reliable system that learns from market fluctuations and personal experiences.
Technology Stack
- Programming Language: Python
- Cloud Services: DigitalOcean (for hosting and computation)
- Machine Learning Frameworks: TensorFlow, scikit-learn
Personal Growth and Resilience
The project is also a testament to navigating personal challenges within financial circles, emphasizing the importance of trust and integrity in collaborative ventures.
Future Directions
The potential for integrating LLMs like ChatGPT to further enhance the capabilities of finBots signifies a new horizon in retail trading.
Additional Resources
For inquiries or to join the discussion, please reach out to Suleman Manji via the provided contact methods.
© 2023 Suleman Manji, All Rights Reserved.