Investing for Programmers
Investing for Programmers
Maximize your portfolio, analyze markets, and make data-driven investment decisions using Python and generative AI. 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! In Investing for Programmers you'll learn how to: - Build stock analysis tools and predictive models
- Identify market-beating investment opportunities
- Design and evaluate algorithmic trading strategies
- Use AI to automate investment research
- Analyze market sentiments with media data mining Investing for Programmers shows you how to use your existing programming skills to take on common investment practices, helping you develop skills that can lead to financial independence. 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. About the book In Investing for Programmers, you'll work with a familiar stack of Python tools--including Pandas, NumPy, and Matplotlib--to dissect stock market data, uncover patterns, and build predictive models. Real-life examples help you build your own intuition about financial markets. To practice as you go, you'll create an in-depth investment strategy for the automotive market and explore how generative AI can enhance your research and decision-making process. You'll soon be on track for retirement, financial independence, and getting more from your hard-earned money. About the reader For Python programmers with data analysis experience. Only the most basic investing knowledge is needed. If you've traded stocks in an online platform or made retirement plan decisions, you're ready to begin. About the author Stefan Papp combines 20+ years of investment experience across stocks, cryptocurrency, and bonds with decades of work as a data engineer, architect, and consultant for major enterprises. Get a free eBook (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book.
- Identify market-beating investment opportunities
- Design and evaluate algorithmic trading strategies
- Use AI to automate investment research
- Analyze market sentiments with media data mining Investing for Programmers shows you how to use your existing programming skills to take on common investment practices, helping you develop skills that can lead to financial independence. 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. About the book In Investing for Programmers, you'll work with a familiar stack of Python tools--including Pandas, NumPy, and Matplotlib--to dissect stock market data, uncover patterns, and build predictive models. Real-life examples help you build your own intuition about financial markets. To practice as you go, you'll create an in-depth investment strategy for the automotive market and explore how generative AI can enhance your research and decision-making process. You'll soon be on track for retirement, financial independence, and getting more from your hard-earned money. About the reader For Python programmers with data analysis experience. Only the most basic investing knowledge is needed. If you've traded stocks in an online platform or made retirement plan decisions, you're ready to begin. About the author Stefan Papp combines 20+ years of investment experience across stocks, cryptocurrency, and bonds with decades of work as a data engineer, architect, and consultant for major enterprises. Get a free eBook (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book.
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Descrierea produsului
Maximize your portfolio, analyze markets, and make data-driven investment decisions using Python and generative AI. 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! In Investing for Programmers you'll learn how to: - Build stock analysis tools and predictive models
- Identify market-beating investment opportunities
- Design and evaluate algorithmic trading strategies
- Use AI to automate investment research
- Analyze market sentiments with media data mining Investing for Programmers shows you how to use your existing programming skills to take on common investment practices, helping you develop skills that can lead to financial independence. 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. About the book In Investing for Programmers, you'll work with a familiar stack of Python tools--including Pandas, NumPy, and Matplotlib--to dissect stock market data, uncover patterns, and build predictive models. Real-life examples help you build your own intuition about financial markets. To practice as you go, you'll create an in-depth investment strategy for the automotive market and explore how generative AI can enhance your research and decision-making process. You'll soon be on track for retirement, financial independence, and getting more from your hard-earned money. About the reader For Python programmers with data analysis experience. Only the most basic investing knowledge is needed. If you've traded stocks in an online platform or made retirement plan decisions, you're ready to begin. About the author Stefan Papp combines 20+ years of investment experience across stocks, cryptocurrency, and bonds with decades of work as a data engineer, architect, and consultant for major enterprises. Get a free eBook (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book.
- Identify market-beating investment opportunities
- Design and evaluate algorithmic trading strategies
- Use AI to automate investment research
- Analyze market sentiments with media data mining Investing for Programmers shows you how to use your existing programming skills to take on common investment practices, helping you develop skills that can lead to financial independence. 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. About the book In Investing for Programmers, you'll work with a familiar stack of Python tools--including Pandas, NumPy, and Matplotlib--to dissect stock market data, uncover patterns, and build predictive models. Real-life examples help you build your own intuition about financial markets. To practice as you go, you'll create an in-depth investment strategy for the automotive market and explore how generative AI can enhance your research and decision-making process. You'll soon be on track for retirement, financial independence, and getting more from your hard-earned money. About the reader For Python programmers with data analysis experience. Only the most basic investing knowledge is needed. If you've traded stocks in an online platform or made retirement plan decisions, you're ready to begin. About the author Stefan Papp combines 20+ years of investment experience across stocks, cryptocurrency, and bonds with decades of work as a data engineer, architect, and consultant for major enterprises. Get a free eBook (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book.
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