Steven papp (15 risultati)

Hardcover. Condizione: Good.

Hardcover. Condizione: Good.

Condizione: good. Book is in good condition and may include underlining highlighting and minimal wear. The book can also include "From the library of" labels. May not contain miscellaneous items toys, dvds, etc. . We offer 100% money back guarantee and 24 7 customer service.

Condizione: very_good. Fast Free Shipping â" Very Good condition book with a firm cover and clean pages. Shows normal use and some light wear or limited notes markings. A solid, nice copy to enjoy.

Condizione: good. Fast Free Shipping â" Good condition. It may show normal signs of use, such as light writing, highlighting, or library markings, but all pages are intact and the book is fully readable. A solid, complete copy that's ready to enjoy.

hardcover. Condizione: Good. Bumps on corners*.

Hardcover. Condizione: Very Good. With dust jacket. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Hardcover. Condizione: Acceptable. This is a used book. It may contain highlighting/underlining and/or the book may show heavier signs of wear . It may also be ex-library or without dustjacket. This is a used book. It may contain highlighting/underlining and/or the book may show heavier signs of wear . It may also be ex-library or without dustjacket.…

Condizione: Very Good. Very Good condition. Very Good dust jacket. A copy that may have a few cosmetic defects. May also contain light spine creasing or a few markings such as an owner's name, short gifter's inscription or light stamp.

Hardcover. Condizione: Good. Mylar cover on DJ, library markings on covers.

HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.

Hardcover. Condizione: new. Hardcover. 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 miningIn 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 bookInvesting 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 Matplotlib 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 insideBuild stock analysis tools and predictive modelsDesign algorithmic trading strategiesUse AI to automate investment researchAnalyze market sentiment with media data miningAbout the reader For professional and hobbyist Python programmers with basic personal finance experience. About the author Stefan Papp combines 20 years of investment experience in stocks, cryptocurrency, and bonds with decades of work as a data engineer, architect, and software consultant. Table of Contents 1 The analytical investor2 Investment essentials3 Collecting data4 Growth portfolios5 Income portfolios6 Building an asset monitor7 Risk management8 AI for financial research9 AI agents10 Charts and technical analysis11 Algorithmic trading12 Private equity: Investing in start-ups13 The road goes ever on and onA Setting up the environment Programmers have a unique superpower when it comes to managing financial stock analysis, price forecasting, and strategic investing. Using popular open-source Python libraries and cutting-edge AI tools, you can do the kind of sophisticated analysis thats normally limited to expensive software and financial professionals. This book shows you how! Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

hardcover. Condizione: New. In shrink wrap. Looks like an interesting title.

Buch. Condizione: Neu. Neuware - Programmers have a unique superpower when it comes to managing financial stock analysis, price forecasting, and strategic investing. Using popular open-source Python libraries and cutting-edge AI tools, you can do the kind of sophisticated analysis that's normally limited to expensive software and financial professionals. This book shows you how.…

Condizione: NEW.