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Dive into a comprehensive course on algorithmic trading that explores three advanced trading strategies using Python. Master the Unsupervised Learning Trading Strategy by analyzing S&P 500 stocks data, focusing on features, indicators, and portfolio optimization. Discover how to leverage social media with the Twitter Sentiment Investing Strategy, ranking NASDAQ stocks based on engagement and comparing performance against the QQQ return. Explore the Intraday Strategy, combining the GARCH model with technical indicators to capture daily and intraday signals for potential profitable positions. Gain hands-on experience with provided code and resources, enhancing your financial toolkit and quantitative trading skills.
