Performance Optimization and Risk Management for Trading by Tyler Aaron

[LeeAndro]

MP4 | Video: h264, 1280x720 | 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

How to make a living with Trading (and what it requires)

How to measure the Performance and Risk of Trading Strats and Financial Instruments

How to manage & control the Risk of Trading Strats

Advanced Python Coding (OOP, Pandas, Numpy, Scipy, Matplotlib, 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.

A desktop computer (Windows, Mac, or Linux)

An internet connection capable of streaming HD videos.

(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 Ma 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 Strats 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

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






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