Скачать или смотреть Algorithmic Stock Trading and Equity Investing with Python (Part 5/5)

Dive into algorithmic stock trading with Python, mastering the art of equity investing for strategic financial success. Dive into the world of algorithmic trading and harness the power of Python to automate your investment decisions.


This course covers

Automated Stock Trading for Income Generation (Algo Trading, Day Trading & more)

Automated ETF & Equity Portfolio Investing for long-term Wealth Accumulation (passive, semi-active, and active Investing)

with Python and Interactive Brokers (IBKR).


At the end of the course, you´ll have mastered all four aspects required for long-term success:

Theory (Finance & Investing 101): What you really need to know before you trade/invest in stocks.

Data: Successful Investment and Trading Strategies are data-driven.

API Trading with Interactive Brokers: Automated Paper Trading and Live Trading with low Spreads and Commissions (no inactivity fees)

Python: The right tool that integrates Theory, Data, and API Trading. This course explains the code and covers everything you need to know in a Python Crash Course (for beginners).


Some Highlights:

Load and analyze Stock Market Data (historical prices, financial statements, ratios, valuation multiples) for thousands of stocks

Trade stocks on various exchanges and from various world regions (North America, Europe, India, Australia, etc.)

Fundamental Analysis, Equity Valuation Methods, Technical Indicators, and Optimization Techniques explained.

Trading Strategies with multiple Tickers/Instruments at once

Test and improve your skills in various Keystone Projects (new concept)


What you'll learn

Algorithmic Stock Trading with Python and the Interactive Brokers (IBKR) API
Automated ETF & Equity Portfolio Investing
Passive (ETF), Semi-Active and Active Investing
Stock Trading Strategies with multiple Tickers
Equity Portfolio Optimization, Management & Rebalancing
Backtesting and Implementation of Trading & Investment Strategies
Technical Analysis and Indicators
Equity Valuation Methods (DDM and Multiples)
Fundamental Analysis
Stock Indices and Index Tracking/Replication
How to measure, benchmark & improve the Performance of your Equity Portfolio
Loading and analysing Stock Data from (free) Web Sources
API Trading with Interactive Brokers
Python Basics & Numpy, Pandas, Matplotlib
Truly Data-driven Trading and Investing
Asset-Pricing Models (CAPM)
Black-Litterman Model

#Python #Algorithmic #Morioh

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