Python for Finance and Algorithmic Trading with QuantConnect

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 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

Welcome to the ultimate online course to go from zero to hero in Python for Finance, including Algorithmic Trading with LEANEngine!

This course will guide you through everything you need to know to use Python for Finance and conducting Algorithmic Trading on the QuantConnect platform with the powerfulLEANengine!

This course is specifically design to connect core financial concepts to clear Python code. You will learn about in-demand real world skills that are highly sought after in the fintech ecosystem.

We'll cover the following topics used by financial professionals:

• Python CrashCourse Fundamentals

• NumPy for High Speed Numerical Processing

• Pandas for Efficient Data Analysis

• Matplotlib for Data Visualization

• Stock Returns Analysis

• Cumulative Daily Returns

• Volatility and Securities Risk

• EWMA (Exponentially Weighted Moving Average)

• Sharpe Ratio

• Portfolio Allocation Optimization

• Efficient Frontier and Markowitz Optimization

• Types of Funds

• Order Books

• Short Selling

• Capital Asset Pricing Model

• Stock Splits and Dividends

• Efficient Market Hypothesis

• Algorithmic Trading with QuantConnect

• Futures Trading

• Options Trading

• and much more!

Why choose this specific course to learn Python, Finance, and Algorithmic Trading?

• This course starts by teaching you some of the most important and popular libraries in Python for Data Analysis and Visualization, includign NumPy, Pandas, and Matplotlib.

• Each lecture includes a high quality HD video with clear instructions and relevant theory slides as well as a full Jupyter Notebook with explanatory code and text.

• This course has complete coverage allowing you to actually implement your ideas as algorithms, other courses online never actually show you how to trade with your new knowledge!

• Powerful online community with our QA Forums with thousands of students and dedicated Teaching Assistants, as well as student interaction on our Discord Server.

All of this comes with a 30-day money back guarantee, so you can try out the course absolutely risk free!