Live: Stock Market Analysis in Python: Improving Model & Choosing Inputs | 1/19/2026
Автор: Pat LaChapelle
Загружено: 2026-01-20
Просмотров: 17
Join me for a live, deep-dive session into the stock market. We're moving past simple indicators and building a robust, custom analysis framework using Python.
What we’ll cover in this stream:
Data Acquisition: Connecting to real-time APIs to gather clean market data.
Technical Modeling: Implementing complex technical analysis models for trend identification.
Backtesting Scenarios: Stress-testing the latest strategies to evaluate performance and risk.
Q&A: Bring your questions on Python, quantitative finance, or today's market movements!
Whether you’re optimizing an existing trading strategy or building your first quantitative tool, this stream offers actionable code and insights.
🔗 Resources & Links
repo for this project: https://github.com/physicslifter/Stoc...
fundamental data: https://www.dolthub.com/users/post-no...
price data (NASDAQ): https://www.nasdaq.com/market-activit...
#stockmarketanalysis
#pythonprogramming
Доступные форматы для скачивания:
Скачать видео mp4
-
Информация по загрузке:
