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QuantFactory – Become A Quant Trader Bundle

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QuantFactory – Become A Quant Trader Bundle

Become A Quant Trader Bundle By QuantFactory

Become A Quant Trader Bundle

QuantFactory – Become A Quant Trader Bundle
QuantFactory – Become A Quant Trader Bundle
QuantFactory – Become A Quant Trader Bundle
QuantFactory – Become A Quant Trader Bundle
QuantFactory – Become A Quant Trader Bundle
QuantFactory – Become A Quant Trader Bundle

QuantFactory – Become A Quant Trader Bundle Course

QuantFactory – Become A Quant Trader Bundle is a complete, professional training system designed to help you master algorithmic trading using Python and build your own data-driven trading strategies. This bundle combines programming fundamentals with advanced quantitative trading techniques, giving you a full roadmap from beginner to strategy deployment.

Whether you’re new to coding or already trading manually, this program teaches you how to automate your strategies, backtest ideas, and build trading systems used by professional quant traders.

What’s Included

Inside this bundle, you’ll get a complete quant trading ecosystem:

  • Two full courses (Beginner + Advanced)
  • Python programming for financial markets
  • Strategy development and backtesting systems
  • Real-world trading projects and examples
  • Data analysis, feature engineering, and optimization tools
  • Code files, scripts, and practical resources

QuantFactory – Become A Quant Trader Bundle Full Structure

1. Python Fundamentals for Quant Trading

Build a strong foundation in Python tailored specifically for trading:

  • Python basics (variables, loops, functions, classes)
  • Data manipulation using Pandas
  • Working with financial datasets
  • Technical indicators and first strategy backtest
  • Building your first trading model

This section ensures you go from zero coding knowledge to practical trading applications.

2. Quant Trading Strategies with Python

Move into advanced strategy development and real-world implementation:

Core Learning Areas

  • Backtesting principles and performance metrics
  • Strategy design and idea generation
  • Data extraction and feature engineering
  • Strategy optimization techniques
  • Out-of-sample testing and validation

Advanced Modules Include

  • Backtrader fundamentals and execution
  • Building and testing trading strategies
  • Machine learning concepts for trading
  • Intraday price action patterns
  • Dynamic stop-loss and risk optimization
  • Strategy refinement and final deployment

Course Content

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

What You Will Learn

  • How to code trading strategies using Python
  • How to backtest and validate strategies properly
  • How to extract and analyze financial data
  • How to optimize and refine trading systems
  • How to build automated trading bots from scratch

Why This Bundle Is Different

  • Combines coding + trading in one complete system
  • Covers the full lifecycle: idea → code → test → optimize → deploy
  • Based on real quant trading workflows
  • Includes hands-on projects and real data applications
  • Designed for serious traders, not beginners only

Who This Course Is For

  • Aspiring quantitative traders
  • Traders who want to automate strategies
  • Python beginners interested in finance
  • Analysts moving into algorithmic trading
  • Anyone wanting data-driven trading systems

About the Instructor

Lachezar “Luke” is a professional quant trader and co-founder of QuantFactory. With experience in top-tier hedge funds and over 35 profitable strategies developed, he brings real-world expertise into a practical, hands-on learning system.

Conclusion

QuantFactory – Become A Quant Trader Bundle is more than a course — it’s a complete blueprint for building professional-level trading systems. By combining Python, data analysis, and strategy development, it equips you with the tools needed to trade with precision and automation.

If you want to move from manual trading to systematic, data-driven strategies, this program provides the exact path.

Enroll QuantFactory – Become A Quant Trader Bundle.

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