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Overview
Learn to use Python, Pandas, Matplotlib, and the QuantConnect Lean Engine to perform financial analysis and trading What you'll learn: Learn to use powerful Python libraries such as NumPy, Pandas, and MatplotlibUnderstand Modern Portfolio TheoryUse Monte Carlo simulation techniques to optimize portfolio allocationUnderstand SciPy minimization algorithms to create optimized portfolio holdingsUse and understand stock fundamentals data, such as CFC, Revenue, and EPSCalculate the Sharpe Ratio for any stockUnderstand cumulative returns and daily average returns in stocksLearn to use QuantConnect's...
Syllabus
- Course Welcome and Overview
- Python Crash Course
- NumPy
- Core Pandas
- Matplotlib
- Pandas and Finance
- Financial Concepts with Python
- Stock Market Analysis Capstone Project
- Algorithmic Trading Basics with QuantConnect
- QuantConnect Research, Plotting, Universe Selection
Instructor
Jose Portilla
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