商品描述
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.
商品描述(中文翻譯)
最大化您的投資組合，分析市場，並使用 Python 和生成式 AI 做出數據驅動的投資決策。
程式設計師在管理金融股票分析、價格預測和策略投資方面擁有獨特的超能力。利用流行的開源 Python 函式庫和尖端的 AI 工具，您可以進行通常僅限於昂貴軟體和金融專業人士的複雜分析。本書將告訴您如何做到這一點！ 在 程式設計師的投資指南 中，您將學習如何： - 建立股票分析工具和預測模型- 識別超越市場的投資機會
- 設計和評估算法交易策略
- 使用 AI 自動化投資研究
- 通過媒體數據挖掘分析市場情緒 程式設計師的投資指南 教您如何利用現有的程式設計技能來應對常見的投資實踐，幫助您發展能夠實現財務獨立的技能。在進行真實市場分析的過程中，您將學習金融投資的基本知識，連接交易 API 以自動化買賣，並發展系統化的風險管理方法。 關於本書 在 程式設計師的投資指南 中，您將使用熟悉的 Python 工具堆疊——包括 Pandas、NumPy 和 Matplotlib——來剖析股市數據、發現模式並建立預測模型。真實案例幫助您建立對金融市場的直覺。為了在學習過程中進行實踐，您將為汽車市場創建一個深入的投資策略，並探索生成式 AI 如何增強您的研究和決策過程。您將很快走上退休、財務獨立的道路，並從辛苦賺來的錢中獲得更多收益。 關於讀者 適合具有數據分析經驗的 Python 程式設計師。只需最基本的投資知識。如果您曾在在線平台上交易股票或做出退休計劃決策，那麼您已經準備好開始了。 關於作者 Stefan Papp 擁有超過 20 年的股票、加密貨幣和債券投資經驗，並在大型企業擔任數據工程師、架構師和顧問的工作經驗達數十年。 購買印刷版書籍時，您將獲得 Manning 提供的免費電子書（PDF 或 ePub），以及訪問在線 liveBook 格式（及其 AI 助手，將以任何語言回答您的問題）的權限。
作者簡介
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.
作者簡介(中文翻譯)
Stefan Papp 結合了超過 20 年的股票、加密貨幣和債券投資經驗，以及在大型企業擔任數據工程師、架構師和顧問的數十年工作經歷。
