🔗 Links
Github: https://github.com/curiositydataanaly...
In this video, I walk you through a simple yet powerful Streamlit app that I built to analyze and visualize different investment strategies using real-world data from Yahoo Finance. We'll explore dollar cost averaging and lump sum investments, diving into how different strategies perform over time using ETFs and equities. You’ll see how I used Streamlit to create a dynamic portfolio builder, extract historical financial data, and calculate key metrics to visualize the performance of investments.
📝 Topics covered in this video:
Building a portfolio builder in Streamlit
Integrating Yahoo Finance data with yfinance
Creating interactive dataframes using Streamlit’s data_editor
Transforming investment strategy data for analysis
Calculating metrics like cumulative price change and portfolio growth
Plotting time series and portfolio distribution with Plotly
Comparing investment strategies: Dollar cost averaging vs Lump sum
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