QuantFactory – Become A Quant Trader Bundle
Become A Quant Trader Bundle Course By QuantFactory
QuantFactory – Become A Quant Trader Bundle Course Free Download
QuantFactory – Become A Quant Trader Bundle Download
QuantFactory – Become A Quant Trader Bundle is a complete, all-in-one roadmap designed for anyone who wants to master algorithmic trading and build profitable trading systems from scratch. This step-by-step training walks you through everything from Python fundamentals to advanced strategy development, backtesting, optimisation, and deploying automated trading bots.
This program provides you with the full workflow used by professional quantitative traders — including how to validate ideas, extract datasets, build indicators, create alpha-generating models, and verify robustness through real-world testing. Whether you’re new to coding or already familiar with markets, this bundle equips you with the exact tools to become a confident, independent quant trader.
Every module in the Become A Quant Trader Bundle is structured for real implementation, allowing you to learn the theory and immediately transform it into working systems. By the end of the training, you’ll know how to develop strategies, backtest them correctly, optimise parameters, test out-of-sample performance, and build your own automated bots.
Python Fundamentals For Quant Trading Course Curriculum
This course teaches the essential Python skills required for quantitative research and trading. Even if you’ve never coded before, you’ll learn Python step-by-step and quickly become comfortable with the core libraries used in quant finance. You’ll discover how to work with financial datasets, manage dataframes, calculate indicators, and run your first backtests.
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
This advanced program takes you deep into algorithmic strategy development, data analysis, feature engineering, and complete backtesting systems. You will build real trading strategies, validate them with historical data, and optimize to achieve reliable performance.
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
Who Is This Bundle For?
- Beginners who want to learn Python & quantitative trading the right way
- Traders who want to transition into algorithmic and systematic trading
- Developers interested in finance & strategy automation
- Anyone who wants to build, test, and deploy profitable strategies
Why This Bundle Is Powerful
Unlike courses that teach isolated concepts, this bundle gives you a complete, end-to-end system used by real quantitative traders. You learn how to go from idea → data → code → backtest → optimization → deployment. The entire workflow is designed for profitability, robustness, and long-term consistency.
Conclusion
The Become A Quant Trader Bundle gives you everything you need to develop, test, and automate profitable trading strategies. With both beginner and advanced training, this is one of the most complete quantitative trading programs available. If you’re ready to build real algorithmic systems and achieve financial independence through data-driven trading, this bundle is the perfect place to start.
Download QuantFactory – Become A Quant Trader Bundle.
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