Knowledge partner · Trading Heads

Courses

Our programs are delivered in partnership with Trading Heads - structured, practical, and built to take you from fundamentals to live, systematic execution.

Trading Transformation Program (Foundation)
Upcoming · July 2026

Trading Transformation Program (Foundation)

Python for Quantitative Analysis & Systematic Trading

Learn Python for trading from scratch - no coding background required. With complete hand-holding from installation to live coding, you will analyze market data, build and backtest trading strategies, and code live alongside the instructor to build real confidence.

Duration
9 weeks
Live classes
54+ hours
Start date
4 July 2026 (Sat)
Schedule
Sat 6-9 PM | Sun 10:30-1:30
Price
₹47,500
Certification
On completion
Prerequisite
No coding background

Course structure

Eight modules plus a special class

A guided path from Python basics to backtesting, portfolio construction, and automated trading.

01

Introduction to Python

Environment setup, variables and primitive data types, the print() method and expressions, libraries and packages.

02

Data Structures & Basics

Lists, tuples, dictionaries, sets; importing and visualizing time-series data; control flow, loops, comprehensions and functions.

03

Market Data & Visualization

Reading CSV/Excel, fetching historical data, data cleaning, and Matplotlib charts - line, bar, scatter, histogram, multi-panel.

04

NumPy for Trading

Arrays, indexing and slicing for market data, vectorized operations and broadcasting, statistical functions, and generating trading signals.

05

Pandas for Trading

Series and DataFrames, indexing and filtering, time-series operations (returns, lags, rolling stats), cleaning, and signal generation.

06

Statistics & TA Principles

Statistics for technical analysts, principles of technical analysis, strategy-testing concepts, and evaluating performance metrics.

07

Strategies & Backtesting

SMA, EMA, crossover, trend-following + momentum and Bollinger strategies; performance metrics, equity curves, Pyfolio and QuantStats.

08

Portfolio & Risk Management

Risk management and case studies, risk/return terminology, portfolio building, Modern Portfolio Theory, and performance metrics.

Special class

Automated Trading for HFT & MFT

System architecture and infrastructure, order and execution management systems, market-data feed and exchange connectivity, latency, co-location and hardware core.

What you get

Everything you need to learn by doing

Python notebooks with hands-on coding every session
Concise reference notes and a course handbook
Home exercises to reinforce learning
Final exam - MCQ plus a capstone Python project
One-to-one screen-sharing support whenever needed
Certification of completion

Your instructors

Learn from practising market professionals

Vivek Jain

Vivek Jain

CFTe · EPAT · CMT (All Levels)

Founder of Decode Charts. A Certified Financial Technician (CFTe) who has completed all levels of the CMT program and earned the EPAT from QuantInsti. With a decade+ of investment experience and 6+ years of profitable trading, he applies technical and quantitative methods to design and refine trading systems.

Sovit Manjani

Sovit Manjani

CMT · CFTe · M.Com (FRA)

CEO of Trading Heads. A Chartered Market Technician with 16+ years in markets, he designs profitable algorithmic trading systems across stocks, futures and indices. A dedicated mentor, he has coached CMT aspirants across all three levels and taught at the BSE Institute and NISM (Summer School and PGP).

Technical Analysis Course - Launching Soon
Launching soon

Technical Analysis Course

A structured program on reading charts, market structure, and building a disciplined technical edge - from beginner foundations to confident execution.

What you'll cover
Market structure Chart & candlestick patterns Support & resistance Trend & momentum Indicators & oscillators Risk & trade management

Previous batches

Trading Transformation Program - past cohorts

TTP November 2025 batch
November 2025Completed
TTP January 2026 batch
January 2026Completed

Ready to transform your trading?