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OMSCS Notes
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  • OMSCS Lecture Notes
  • information-security
  • machine-learning-trading
    • The Fundamental Law of Active Portfolio Management
    • So You Want to be a Hedge Fund Manager
    • Dealing With Data
    • Technical Analysis
    • Sharpe Ratio and Other Portfolio Statistics
    • Incomplete Data
    • Dyna
    • Portfolio Optimization and the Efficient Frontier
    • Histograms and Scatter Plots
    • How Hedge Funds Use the CAPM
    • The Power of NumPy
    • Regression
    • Market Mechanics
    • Optimizers: How to Optimize a Portfolio
    • Efficient Markets Hypothesis
    • The Capital Assets Pricing Model (CAPM)
    • Optimizers: Building a Parameterized Model
    • Reinforcement Learning
    • Q-Learning
    • Statistical Analysis of Time Series
    • What Is a Company Worth
    • Udacity Quizzes - ML4T
    • Textbook Information
    • Welcome
    • How Machine Learning is Used at a Hedge Fund
    • Ensemble Learners, Bagging, and Boosting
    • Reading and Plotting Stock Data
    • Assessing a Learning Algorithm
    • Working with Multiple Stocks
  • computer-networks
  • operating-systems
  • simulation
  • secure-computer-systems
  • .github
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machine-learning-trading

The Fundamental Law of Active Portfolio ManagementSo You Want to be a Hedge Fund ManagerDealing With DataTechnical AnalysisSharpe Ratio and Other Portfolio StatisticsIncomplete DataDynaPortfolio Optimization and the Efficient FrontierHistograms and Scatter PlotsHow Hedge Funds Use the CAPMThe Power of NumPyRegressionMarket MechanicsOptimizers: How to Optimize a PortfolioEfficient Markets HypothesisThe Capital Assets Pricing Model (CAPM)Optimizers: Building a Parameterized ModelReinforcement LearningQ-LearningStatistical Analysis of Time SeriesWhat Is a Company WorthUdacity Quizzes - ML4TTextbook InformationWelcomeHow Machine Learning is Used at a Hedge FundEnsemble Learners, Bagging, and BoostingReading and Plotting Stock DataAssessing a Learning AlgorithmWorking with Multiple Stocks
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Last updated 4 years ago

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