Second workshop in our series on financial data automation and analysis. Outline covers Data Acquisition & Preprocessing (Yahoo Finance API, SQLite storage, generating additional variables); Exploratory Analysis & Time-Series Features; Forecasting Techniques (Prophet, ARIMA, Deep Learning); Visualization & Deployment (Plotly, Streamlit Cloud, GitHub Actions).
talk-data.com
Speaker
Ivan Brigida
3
talks
Ivan is a business intelligence analyst with 10+ years of experience in digital marketing, statistical modeling, forecasting and visualization, database programming, data analysis, econometrics, machine learning, and finance.
Bio from: Predicting Financial Time-Series
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We talked about:
Ivan’s background How Ivan became interested in investing Getting financial data to run simulations Open, High, Low, Close, Volume Risk management strategy Testing your trading strategies Sticking to your strategy Important metrics and remembering about trading fees Important features Deployment How DataTalks.Club courses helped Ivan Ivan’s site and course sign-up
Links:
Exploring Finance APIs: https://pythoninvest.com/long-read/exploring-finance-apis Python Invest Blog Articles: https://pythoninvest.com/blog
Free ML Engineering course: http://mlzoomcamp.com Join DataTalks.Club: https://datatalks.club/slack.html Our events: https://datatalks.club/events.html
Outline: Stock trading; Starting with trading; Machine learning for stock predictions.