Trading Transformation Program (Foundation) Jan 2026

Master Python for trading, analyze market data, and build successful trading strategies in this comprehensive course.

Instructor: Vivek Jain CFTe EPAT, Sovit Manjani CMT CFTe

Language: English

Validity Period: Lifetime

Description
Course Content
How to Use

Description:

Get ready to embark on a transformative journey in the world of trading with this foundational program. Whether you are a beginner or an intermediate trader, this course will equip you with essential knowledge and skills to excel in the trading industry.

Key Highlights:

Comprehensive overview of trading concepts
In-depth analysis of market trends and strategies
Hands-on experience with trading tools and platforms

What you will learn:

Introduction to Trading Fundamentals
Master the basics of trading, including terminology, market analysis, and risk management.
Advanced Trading Strategies
Explore advanced trading techniques such as technical analysis, fundamental analysis, and algorithmic trading.
Risk Management and Portfolio Diversification
Learn how to effectively manage risks and optimize your investment portfolio for long-term success.

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	Live Lectures
		1. Session -1 (03/01/2026) Python Installation and Introduction
		2. Session - 2 (04/01/2025) Variables, Data Types, Python Introduction
		3. Session - 3 (10/01/2025) Data Structure, List, Tuples, Sets, Dictionaries
		4. Session - 4 (11/01/2025) Control Flow & Conditional Statements
		5. Session - 5 (17/01/2025) User-defined & Lambda Functions in Python
		6. Session - 6 (18/01/2025) Numpy Basics, Indexing, Slicing & Vectorization
		7. Session - 7 (24/01/2026) NumPy Statistical Functions & Matplotlib Plotting
		8. Session 8 (25/01/2026) Pandas Series, DataFrame, Market Data download
		9. Session - 9 (31/01/2026) Pandas Statistical Functions
		10.Session - 10 (01/02/2026) Pandas Indexing, Slicing and GroupBy
		11. Session - 11 (07/02/2026) Basic Statistics for Technical Analysts
		12. Session - 12 (08/02/2026) Evaluating Performance Metrics for Trading Strategies
		13. Session - 13 (17/02/2026) Quantitative Trading Strategy Workflow \| MA, EMA \| Pyfolio \| Quantstats
		14. Session - 14 (18/02/2026) Evaluating Performance Metrics for Trading Strategies
		15. Session - 15 (19/02/2026) Evaluating Performance Metrics for Trading Strategies
		16. Session - 16 (21/02/2026) Quantitative Trading Strategy \| Mean Reversion, Buy & Hold
		17. Session - 17 (22/02/2026) Portfolio & Risk Management
		18. Session - 18 (23/02/2025) Evaluating Performance Metrics for Trading Strategies
		19. Session - 19 (28/02/2025) Portfolio Construction Using Correlation
	Environment Files
		ttp_env
		ttp_env1_mac
	Class Python Files
		TTP_Foundation1
		TTP_Foundation2
		TTP_Foundation3
		TTP_Foundation4
		TTP_Foundation5
		TTP_Foundation6
		TTP_Foundation7
		TTP_Foundation8
		TTP_Foundation9
		TTP_Foundation10
		TTP_Foundation11
		TTP_Foundation12
		TTP_Foundation13
		TTP_Foundation14
		TTP_Foundation15
	Notes
		command_prompts
	Assignments
		TTP_Assignment1
		TTP_Assignment2
		TTP_Assignment3
		TTP_Assignment4
		TTP_Assignment5
		TTP_Assignment6
		TTP_Assignment7
		TTP_Assignment8
		TTP_Assignment9
		TTP_Assignment10
		TTP_Assignment11
		TTP_Assignment12
		TTP_Assignment13
		TTP_Assignment14
	Data Files
		stock_detailed
		stock_nan
		NSE_TCS
	Presentations
		TTP_Statistics
		TTP_Performance metrics
		Python_Installation_Intro
	November 2025 Recordings
		1. Session - 1 (08/11/2025) Introduction to Trading Transformation Program and Python Installation Part 1
		1. Session - 1 (08/11/2025) Introduction to Trading Transformation Program and Python Installation Part 2
		1. Session - 1 (08/11/2025) Introduction to Trading Transformation Program and Python Installation Part 3
		2. Session - 2 (09/11/2025) Variables, Primitive data types, The Print() method, Use of Expressions, Libraries & Packages in Python
		3. Session - 3 (11/11/2025) Variables, Data Types, print() method
		4. Session - 4 (13/11/2025) Data Structure, List, Tuples, Sets, Dictionaries
		5. Session - 5 (22/112025) Control Flow & Conditional Statements
		6. Session - 6 (23/11/2025) Loops, in-built functions, Lambda functions
		7. Session - 7 (28/11/2025) NumPy Arrays, Indexing, Slicing, Broadcasting
		8. Session - 8 (29/11/2025) NumPy Functions, Matplotlib Plotting
		9. Session 9 (7/12/2025) Pandas series, DataFrame, Market Data download
		10. Session - 10 (8/12/2025) Pandas Statistical Functions
		11.Session - 11 (16/12/2025) Pandas Indexing, Slicing and GroupBy
		12. Session - 12 (17/12/2025) Basic Statistics for Technical Analysts
		13. Session - 13 (18/12/2025) Evaluating Performance Metrics for Trading Strategies
		14. Session 14 (20/12/2025) Quantitative Trading Strategy Workflow \| MA, EMA
		16. Session -16 (24/12/2025) Evaluating Performance Metrics for Trading Strategies
		17. Session - 17 (27/12/2025) Portfolio & Risk Management
		18. Session - 18 (29/12/2025) Portfolio & Risk Management
		15. Session - 15 (21/12/2025) Quantitative Trading Strategy \| Mean Reversion, Buy & Hold

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Trading Transformation Program (Foundation) Jan 2026