Ementorhub

What you'll learn

Understand the fundamentals of trading, including the concepts of trend, returns, stop-loss, and volatility.

Define quantitative trading and the main types of quantitative trading strategies.

Understand the basic steps in exchange arbitrage, statistical arbitrage, and index arbitrage.

Understand the application of machine learning to financial use cases.

Skills you'll gain

Applied Machine Learning

Statistical Machine Learning

Quantitative Research

Deep Learning

Artificial Neural Networks

Technical Analysis

Time Series Analysis and Forecasting

Machine Learning

Financial Modeling

Financial Forecasting

Google Cloud Platform

Financial Trading

Supervised Learning

Regression Analysis

Artificial Intelligence and Machine Learning (AI/ML)

Forecasting

Securities Trading

There are 4 modules in this course

To be successful in this course, you should have advanced competency in Python programming and familiarity with pertinent libraries for machine learning, such as Scikit-Learn, StatsModels, and Pandas. Experience with SQL is recommended. You should have a background in statistics (expected values and standard deviation, Gaussian distributions, higher moments, probability, linear regressions) and foundational knowledge of financial markets (equities, bonds, derivatives, market structure, hedging).

Supervised Learning with BigQuery ML

Time Series and ARIMA Modeling

Introduction to Neural Networks and Deep Learning