Algorithmic Stock Trading with Statistical Models (BB0001QFA001M) demos

Rock Yan's Algorithmic Stock Trading with Statistical Models (BB0001QFA001M) project demos using Python, Pandas, NumPy. Week 4 of my project: Algorithmic Stock Trading with Statis…

Skills demonstrated

  • Python
  • Pandas
  • NumPy
  • scikit-learn
  • TensorFlow
  • SQL

  • Algorithmic Stock Trading with Statistical Models — Milestone 4

    Week 4 of my project: Algorithmic Stock Trading with Statistical Models! This week, I worked on State Management with st.session_state, building the UI for Multi-Stock Comparison, fetching and Processing data for Multiple Stocks, normalizing data and Visualizing Comparative Performance, and implementing a Correlation Heatmap.

  • Algorithmic Stock Trading with Statistical Models — Milestone 3

    Week 3 of my project: Algorithmic Stock Trading with Statistical Models! This week, I worked on calculating Bollinger Bands, visualizing Bollinger Bands on the Chart, integrating Bollinger Bands into the UI, creating a Volume Subplot, and calculating and Visualizing the Relative Strength Index (RSI).

  • Algorithmic Stock Trading with Statistical Models — Milestone 2

    Week 2 of my project: Algorithmic Stock Trading with Statistical Models! This week, I worked on calculating Simple Moving Averages (SMA), calculating Exponential Moving Averages (EMA), Interactive Charting with Plotly, refining the Chart and user experience, and identifying Trading Signals with Crossovers.

  • Algorithmic Stock Trading with Statistical Models — Milestone 1

    Week 1 of my project: Algorithmic Stock Trading with Statistical Models! This week, I worked on onboarding, my First Web App with Streamlit, designing the Financial analysis Input UI, connecting to a Financial data API (yfinance), and integrating and Displaying Raw data.