📅 2024-01-12 — Session: Developed Comprehensive Investment and Trading Strategies
🕒 20:40–21:25
🏷️ Labels: Investment, Algorithmic Trading, Financial Data, Portfolio Management
📂 Project: Business
⭐ Priority: MEDIUM
Session Goal
The session focused on developing comprehensive strategies for investment and algorithmic trading.
Key Activities
- Investment Strategy Assessment: Emphasized dollar-cost averaging, diversification, and risk management.
- Portfolio Creation: Guided on constructing a diversified portfolio with $5,000.
- Stocks and ETFs Strategy: Focused on investing in technology and healthcare sectors using algorithmic trading.
- Algorithmic Trading Development: Outlined software selection, algorithm development, and backtesting.
- Market Data Sources: Explored free and paid sources for market data essential for trading.
- Financial Tools Comparison: Compared Yahoo Finance and Google Finance for investment analysis.
- Financial Management Suite Setup: Detailed integration of Google Finance with Google Sheets and Python.
- Data Fetching System: Created a system to fetch financial data using Python and Google Sheets.
- Stock Data Downloading: Provided Python scripts using
yfinancefor downloading stock data.
Achievements
- Developed a structured approach to investment and trading strategies.
- Established a framework for algorithmic trading and financial management.
Pending Tasks
- Further exploration of algorithmic trading software options and backtesting results.
- Continuous monitoring and adjustment of the investment portfolio based on market trends.