📅 2024-08-28 — Session: Developed Data-Driven Investment Strategies
🕒 19:55–20:05
🏷️ Labels: Value Investing, Data Processing, Investment Strategies, Algorithmic Trading, Data Scraping
📂 Project: Business
⭐ Priority: MEDIUM
Session Goal
The session aimed to explore and develop value investing opportunities through advanced data processing pipelines, focusing on leveraging algorithmic trading and real-time data integration to identify undervalued assets.
Key Activities
- Discussed the potential of value investing as a business feature or career path.
- Outlined strategies for data-driven investment, including algorithmic screening and real-time data integration.
- Explored optimization of retail investment strategies through personal finance management and portfolio optimization.
- Initiated the setup of a data scraping system for price tracking, focusing on time-series data management.
- Reviewed best practices for managing time-series price data, including data storage, retrieval, and analysis.
Achievements
- Developed a conceptual framework for leveraging data processing pipelines in investment strategies.
- Established a phased approach for optimizing retail investment strategies.
- Initiated the development of a data scraping system to enhance price tracking capabilities.
Pending Tasks
- Further development and implementation of the data scraping system for comprehensive price tracking.
- Detailed exploration of algorithmic trading strategies and their integration into the investment framework.