QuantFactory – Master Algorithmic Trading with Python

About Courses:

With this pack, you will receive two courses as follows:

• Python Fundamentals For Quant Trading Course Curriculum
• Quant Trading Strategies With Python Course Curriculum
  

Python Fundamentals For Quant Trading Course Curriculum

First Section

• Introduction to the course

Installations

• Installing Anaconda
• Jupyter Walkthrough

Python Basics

• Variables
• Data Types
• Arithmetic Operations
• Loops
• Comparison Operators
• Logical Operators
• Conditional Statements
• Functions
• Classes

Pandas Library

• Introduction to Pandas
• Loading Data
• Working with DateTime Index
• Data Manipulation
• Rolling Functions

Technical Indicators and Trading Strategy Backtest

• Intro and Downloading Data
• Calculating First Technical Indicator
• Calculating Second Technical Indicator
• Strategy Building and Backtesting
• Calculating Strategy Metrics
• Wrapping Up the Course

Quant Trading Strategies With Python Course Curriculum

Meet Your Instructor & Course Overview

• Meet Your Instructor
• Course Overview
• What We Are Building Together

Why Backtesting Worths the Effort

• High Quality Backtest, Advantages and Disadvantages
• Rules When Backtesting and Metrics

Downloads & Installations

• Download & Install Anaconda
• Jupyter Notebook
• Install Python Packages

Pandas Refresher

• Read Data into a Dataframe
• Select and Slice Dataframe
• Summary Functions
• Working with Datetime Index

Backtrader Fundamentals

• Backtrader Basics
• Using the Platform
• Add Data Feeds
• Create Simple Strategy
• Add Log Function
• Add Notify Order Function
• Add Notify Trade Function
• Order Type & Size
• Exit Conditions
• Take Profit & Stop Loss
• Set Commission & Add Analyzers

Strategy Ideas & Development

• Intro
• A Strategy Needs to Make Sense
• How To Generate Ideas?
• Indicators & Additional Data
• Potential Machine Learning in Strategy
• Strategy Part 1
• Strategy Part 2
• Strategy Part 3

Data Extraction & Features Preparation

• Information On What We Are Going to Do
• Weekly Regime Feature Modeling – Part 1
• Weekly Regime Feature Modeling – Part 2
• Weekly Regime Feature Modeling – Part 3
• Weekly Regime Feature Modeling – Part 4
• Daily Options Feature Modeling – Part 1
• Daily Options Feature Modeling – Part 2
• Daily Options Feature Modeling – Part 3
• Final DataFrame – Part 1
• Final DataFrame – Part 2
• Final DataFrame – Part 3
• Final DataFrame – Part 4
• Calculate All Technical Indicators

Backtesting The Strategy

• Pandas Data Feed
• Building The Backtester
• Visualizing The Results

Strategy Optimization

• Intro On Optimization
• Dynamic Stop Loss
• Optimization – Part 1
• Optimization – Part 2
• Optimization – Part 3
• First Intraday Price Action Pattern
• Second Intraday Price Action Pattern – Part 1
• Second Intraday Price Action Pattern – Part 2
• Third Intraday Price Action Pattern – Part 1
• Third Intraday Price Action Pattern – Part 2
• Choosing Final Strategy and Parameters

Out Of Sample Testing

• Out Of Sample Testing