Stock Fundamentals and Portfolio Optimization App

所在平台: Udemy

课程主页: https://www.udemy.com/course/stock-fundamentals-and-portfolio-optimization-app/

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课程名称:股票基础与投资组合优化应用 概述:您是否希望掌握股票基础知识并构建数据驱动的投资组合优化应用?本课程《股票基础与投资组合优化应用》旨在帮助您分析财务比率、筛选股票,以及运用机器学习模型进行股票选择和预测。首先,您将学习关键财务比率,例如债务与股本比率(Debt to Equity)、股本回报率(ROE)、市盈率(PE Ratio)和利息保障倍数,掌握如何评估公司的财务健康状况。接着,您将学习开发股票筛选器,从公司财务报表中提取数据,进行数据清理,并整合关键财务指标。 在总结项目中,您将通过构建端到端的投资组合优化应用来巩固所学知识。您将使用每日市场数据,进行探索性数据分析(EDA),并利用Python筛选相关股票。进阶主题包括市场市值分析、风险评级分布以及股票选择技巧。为增强决策分析能力,课程还涵盖了数据可视化技术以理解金融趋势。此外,您将实施特征工程和独热编码(one-hot encoding),以优化股票数据,然后应用机器学习模型。 您将使用分类模型、基于SHAP的特征重要性评估和受试者工作特征曲线(ROC Curve)来选择最佳的预测模型。最后,您将探索基于深度学习的股票预测技术,利用LSTM网络帮助您预测市场趋势和股票动向。通过本课程的学习,您将具备分析股票、优化投资组合以及使用Python做出数据驱动投资决策的能力。无论您是初学者还是经验丰富的交易员,这门课程都将为您提供利用数据科学实现金融成功所需的工具。

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Are you looking to Master Stock Fundamentals and build a data-driven portfolio optimization app? This course, Stock Fundamentals and Portfolio Optimization App, is designed to help you analyze financial ratios, screen stocks, and apply machine learning models for stock selection and forecasting.Starting with key financial ratios such as Debt to Equity, ROE, PE Ratio, and Interest Coverage, you'll learn how to evaluate a company's financial health. You'll then progress to developing a stock screener, where you'll extract company financials, perform data cleaning, and integrate key financial metrics.The capstone project will guide you through building an end-to-end portfolio optimization application. You'll work with daily market data, perform exploratory data analysis (EDA), and filter relevant stocks using Python. Advanced topics include market cap analysis, risk rating distributions, and stock selection techniques.To enhance decision-making, the course covers data visualization techniques for understanding financial trends. You will also implement feature engineering and one-hot encoding to refine stock data before applying machine learning models. Classifier models, SHAP-based feature importance, and ROC curve evaluations will be used to select the best predictive models.Finally, you'll explore deep learning-based stock forecasting with LSTMs, helping you predict market trends and stock movements. By the end of this course, you'll have the skills to analyze stocks, optimize portfolios, and make data-driven investment decisions using Python. Whether you're a beginner or an experienced trader, this course will equip you with the tools needed to leverage data science for financial success.

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