MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 16 lectures (1h 28m) | Size: 1.12 GB
Generate Income and make a living with Day Trading / Algorithmic Trading. A quantitative & data-driven Python course


What you’ll learn:
How to make a living with Trading (and what it requires)
How to measure the Performance and Risk of Trading Strategies and Financial Instruments
How to manage & control the Risk of Trading Strategies
Advanced Python Coding (OOP, Pandas, Numpy, Scipy, MatDescriptionlib, Seaborn)
How to optimize Trading Performance with Smoothing
How to calculate Downside Risk and the Sortino Ratio
How to calculate CAGR, Investment Multiple, compound Returns and more.
Requirements
A desktop computer (Windows, Mac, or Linux)
An internet connection capable of streaming HD videos.
Description
(How) Can I generate sustainable Income and make a living with Trading? – That is one of the most frequently asked questions in Day Trading / Algorithmic Trading.
This unique course provides the skills, knowledge, and techniques required to (realistically!) answer that question. The course uses rigorous quantitative methods and is 100% data-driven (Python coding required!).
You will learn how to make use of the most powerful trading features and techniques:
Path-dependent Simulation techniques to find a sustainable level of Trading Income
Taking into account Taxation, Inflation and Shortfall Risk
Strategy Backtesting and Forward Testing
Strategy Optimization techniques (One/Many Parameter Optimization, Multi-Period Optimization, Smoothing, and more…)
Finding the optimal Degree of Leverage in Margin Trading (Kelly Criterion and more advanced techniques)
Improving Trading Performance and mange Risk with Stop Loss and Take Profits Orders
and more…
Important: these techniques and skills are highly relevant and must-knows for any Trader and any Trading activity:
for Assets like Forex (Currencies), Cryptocurrencies, Stocks, Indexes, Commodities, and more…
for Strategies based on Technical/Fundamental Analysis, Artificial Intelligence (Machine Learning & Deep Learning), Statistical Arbitrage, and more…
for Trading with Brokers like Interactive Brokers (IBKR), Binance, TD Ameritrade, Oanda, FXCM, and more…
Performance Optimization and Risk Management require… rigorous Performance and Risk Measurement. The course covers the following Metrics and Methods:
Mean-Variance Analysis
Risk-adjusted Return Metrics (e.g. Sharpe Ratio)
Downside Deviation and Sortino Ratio
Tail Risk Metrics
Who this course is for
Those who want to generate sustainable Income with Trading
Traders who are dissatisfied with their Trading Performance
Traders who want to improve their work/analysis with powerful Python Coding
Homepage

https://www.udemy.com/course/performance-optimization-and-risk-management-for-trading-b/

 

 

 

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