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
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