Investing for Programmers, Video Edition

[book24h]

Free Download Investing for Programmers, Video Edition
.MP4, AVC, 1920x1080, 15 fps | English, AAC, 2 Ch | 11h 35m | 1.64 GB
Author: Stefan Papp

In Video Editions the narrator reads the book while the content, figures, code listings, diagrams, and text appear on the screen. Like an audiobook that you can also watch as a video.
Maximize your portfolio, analyze markets, and make data-driven investment decisions using Python and generative AI.
Investing for Programmers shows you how you can turn your existing skills as a programmer into a knack for making sharper investment choices. You'll learn how to use the Python ecosystem, modern analytic methods, and cutting-edge AI tools to make better decisions and improve the odds of long-term financial success.
In Investing for Programmers you'll learn how to:
Build stock analysis tools and predictive modelsIdentify market-beating investment opportunitiesDesign and evaluate algorithmic trading strategiesUse AI to automate investment researchAnalyze market sentiments with media data mining
In Investing for Programmers you'll learn the basics of financial investment as you conduct real market analysis, connect with trading APIs to automate buy-sell, and develop a systematic approach to risk management. Don't worry-there's no dodgy financial advice or flimsy get-rich-quick schemes. Real-life examples help you build your own intuition about financial markets, and make better decisions for retirement, financial independence, and getting more from your hard-earned money.
About the Technology
A programmer has a unique edge when it comes to investing. Using open-source Python libraries and AI tools, you can perform sophisticated analysis normally reserved for expensive financial professionals. This book guides you step-by-step through building your own stock analysis tools, forecasting models, and more so you can make smart, data-driven investment decisions.
About the Book
Investing for Programmers shows you how to analyze investment opportunities using Python and machine learning. In this easy-to-read handbook, experienced algorithmic investor Stefan Papp shows you how to use Pandas, NumPy, and MatDescriptionlib to dissect stock market data, uncover patterns, and build your own trading models. You'll also discover how to use AI agents and LLMs to enhance your financial research and decision-making process.
What's Inside
Build stock analysis tools and predictive modelsDesign algorithmic trading strategiesUse AI to automate investment researchAnalyze market sentiment with media data mining
About the Reader
For professional and hobbyist Python programmers with basic personal finance experience.

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