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Python for Finance and Algorithmic Trading with QuantConnect

Python for Finance and Algorithmic Trading with QuantConnect

What you’ll learn

  • Learn to use powerful Python libraries such as NumPy, Pandas, and Matplotlib
  • Understand Modern Portfolio Theory
  • Use Monte Carlo simulation techniques to optimize portfolio allocation
  • Understand SciPy minimization algorithms to create optimized portfolio holdings
  • Use and understand stock fundamentals data, such as CFC, Revenue, and EPS
  • Calculate the Sharpe Ratio for any stock
  • Understand cumulative returns and daily average returns in stocks
  • Learn to use QuantConnect’s LEAN engine for automated trading
  • Learn about Bollinger Bands and other classic technical analysis
  • Use algorithmic trading to trade derivative futures contracts
  • Dive into understanding CAPM – Capital Asset Pricing Model
  • Use fundamental stock company data to create rules based trading algorithms
  • Learn about alternatives to the Sharpe Ratio, such as the Sortino Ratio
  • Learn to read and understand a Backtest, including Probabilistic Sharpe Ratios
  • Conduct Research on QuantConnect, including full universe stock selection screening

How to Enroll Python for Finance and Algorithmic Trading with QuantConnect course?

  • To Access "Python for Finance and Algorithmic Trading with QuantConnect" Click on Enroll Now button at end of the post. It will redirect you to Udemy Course Page and then you can start the enrollment process.
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  • How many members can access this course with a coupon?

    Python for Finance and Algorithmic Trading with QuantConnect Course coupon is limited to the first 1,000 enrollments. Click 'Enroll Now' to secure your spot and dive into this course on Udemy before it reaches its enrollment limits!

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