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所在平台: Udemy |
课程主页: https://www.udemy.com/course/ai-powered-algorithmic-trading-build-using-lstm-model/
课程评论：没有评论
课程名称：基于AI的算法交易：使用LSTM模型构建 课程概述： 本课程旨在让您掌握人工智能在交易领域的应用。通过动手实践，您将学习如何使用Python、机器学习和深度学习工具构建、训练及回测以AI驱动的算法交易策略。无论您来自金融领域还是技术领域，这门课程都将帮助您将市场数据转化为可操作的交易信号，使用LSTM模型、情感分析以及先进的评估指标。课程从算法交易的基础知识入手，探讨人工智能的角色，并深入研究随机森林、梯度提升、卷积神经网络（CNN）、长短期记忆（LSTM）、强化学习、遗传算法及集成方法等工具。 在课程中，您将进行实际操作：加载历史股票数据、创建预测特征、标记结果、使用焦点损失处理类不平衡，并通过回测和风险指标（如夏普比率和最大回撤）评估您的交易策略。课程内容包括：使用真实的苹果公司股票数据进行实践、利用技术指标进行特征工程、使用自定义损失函数（如焦点损失）、从零开始构建LSTM模型、可视化交易信号和性能、以及通过资本增长模拟进行回测。 通过本课程，您将获得一个功能齐全的AI驱动交易策略，并掌握将这些技术应用于任何股票、ETF或加密资产的知识。 您将学习到的内容包括： - 理解AI如何改变算法交易 - 从股票数据创建预测交易特征 - 训练LSTM模型以预测买入、卖出或持有信号 - 使用过采样和焦点损失处理金融数据不平衡 - 使用准确率、精确率、召回率和混淆矩阵评估交易表现 - 在实际股票图表上可视化预测的交易信号 - 通过投资组合模拟回测交易策略 - 计算夏普比率、最大回撤和收益进行风险分析 通过本课程的学习，您将全面掌握AI驱动的算法交易策略的构建与评估技能。
Unlock the power of Artificial Intelligence in the world of trading.In this hands-on course, you'll learn how to build, train, and backtest AI-driven algorithmic trading strategies using Python, machine learning, and deep learning tools. Whether you're from finance or tech, this course will help you turn market data into actionable trading signals using LSTM models, sentiment analysis, and advanced evaluation metrics.You'll begin with the basics of algorithmic trading, explore the role of AI, and dive deep into tools like Random Forest, Gradient Boosting, CNNs, LSTM, Reinforcement Learning, Genetic Algorithms, and Ensemble Methods. From there, you'll move into real-world implementation - loading historical stock data, creating predictive features, labeling outcomes, handling class imbalance with focal loss, and evaluating your trading strategy through backtesting and risk metrics like Sharpe Ratio and Drawdown.This course includes:Real Apple stock data for hands-on practiceFeature engineering using technical indicatorsCustom loss functions like Focal LossBuilding an LSTM model from scratchVisualizing trading signals and performanceBacktesting with capital growth simulationsBy the end, you'll walk away with a fully functional trading strategy powered by AI - plus the knowledge to apply these techniques across any stock, ETF, or crypto asset.What You'll LearnUnderstand how AI is transforming algorithmic tradingCreate predictive trading features from stock dataTrain LSTM models to predict buy, sell, or hold signalsHandle imbalanced financial data using oversampling and focal lossEvaluate trading performance using accuracy, precision, recall, and confusion matrixVisualize predicted trading signals on real stock chartsBacktest trading strategies using portfolio simulationCalculate Sharpe Ratio, Drawdown, and Returns for risk analysis
