QuantFactory – Master Algorithmic Trading with Python
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  • QuantFactory – Master Algorithmic Trading with Python

QuantFactory – Master Algorithmic Trading with Python

Original price was: $299.00.Current price is: $23.00.

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  • Description

Description

QuantFactory – Master Algorithmic Trading with Python

QuantFactory – Master Algorithmic Trading with Python

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