Certified ALGO Trader (CAT)

Master Algorithmic Trading with Python, APIs & AI

100 Hours | Practical | Career-Focused

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Course Overview

The Certified ALGO Trader (CAT) program is a comprehensive, hands-on course designed to help you master algorithmic trading from the ground up. This program focuses on building, backtesting, optimizing, and deploying fully automated trading strategies using Python, broker APIs, third-party platforms, and AI tools.

Participants learn how professional traders and quantitative analysts use computer-driven systems to reduce transaction costs, eliminate emotional bias, and capitalize on market opportunities with precision.

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Course Objective

The objective of this course is to enable learners to:

• Understand capital markets and trading instruments in depth

• Build rule-based and data-driven trading strategies

• Backtest and optimize strategies using historical data

• Deploy live automated trading systems using broker APIs

• Apply AI and statistical methods responsibly in algo trading

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Course Duration

Total Duration: 100 Hours
Mode: Instructor-led + Practical Assignments + Projects

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Tools & Platforms Covered

Algo Trading with Python + Third-Party Software

• AlgoTest

• StockMock

• Tradetron

• FYERS

• TradingView

• Opstra

• Stoxxo

• Sensibull

Broker APIs Exposure:

• Zerodha

• Angel One Smart API

• Finvasia Shoonya

• ICICI Direct

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Course Curriculum

Module 1: Fundamentals of Capital Markets

Build a strong foundation in financial markets and trading concepts.

• Capital Markets Overview (Equity & Derivatives)

• Market Segments and Instruments

• Introduction to Trading Systems

• Technical Analysis for Algo Trading

• Indicators & Oscillators:

  • Moving Averages, VWAP, RSI, MACD

  • Candlestick Patterns & Price Action

• Trading Styles:

  • Intraday, Swing, BTST

• Option Strategies:

  • Single-leg & Multi-leg Strategies

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Module 2: Introduction to Python for Trading

Learn Python from scratch with a trader’s perspective.

• Python Basics & Program Structure

• Data Types & Variables

• Operators & Expressions

• Conditional Statements

• Loops & Iterations

• Functions & Modular Programming

• Exception Handling & File Handling

• Introduction to OOPS for Trading Systems

Project:
Build a basic rule-based trading system using Python.

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Module 3: Advanced Python for Algo Trading

Enhance your strategy development and data analysis skills.

• NumPy for Numerical Computation

• Pandas for DataFrames & Backtesting

• Matplotlib for Data Visualization

• FinTA Library for Technical Indicators

• Data Cleaning & Pre-processing

• Strategy Performance Analysis

Assignments provided after each topic for deeper understanding.

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Module 4: Backtesting & Strategy Optimization

Learn how professional traders evaluate strategies before going live.

• TA-Lib for Technical Analysis

• Backtesting using Backtrader & VectorBT

• Building a Backtesting Framework

• Trading Signal Generation

• Performance Metrics:

  • Sharpe Ratio

  • Max Drawdown

  • Win Ratio & Win Probability

  • Risk-Reward Ratio

• Strategy Optimization

• Risk Management in Algorithmic Trading

Project:
Design and evaluate multiple algo trading strategies.

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Module 5: API Integration & Live Algo Trading

Deploy real-time automated trading systems.

• Introduction to Rule-Based Trading

• Broker API Integration with Python

• Fetching Live & Historical Market Data

• Order Execution Automation

• End-to-End Algo Deployment

• Zero Human Interference Trading Systems

Third-Party Software Training:
AlgoTest, StockMock, Tradetron, TradingView, Opstra, Sensibull, Stoxxo, FYERS

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Module 6: SQL Database for Trading Systems

Manage and store trading data efficiently.

• MySQL Installation

• Database & Table Creation

• Inserting & Storing Market Data

• Fetching Data from SQL for Analysis

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Module 7: Use of AI in Algorithmic Trading

Leverage AI as a trading assistant.

• Using AI with Python Programming

• Debugging Code with AI

• AI-Based Data Analysis

• AI-Assisted Backtesting Frameworks

• AI-Driven Strategy Automation

• Tools Covered:

  • ChatGPT

  • Claude

  • Blackbox

  • DeepSeek

(AI is used as a support tool; human validation is mandatory.)

Projects & Assignments

• Assignments after every major topic

• Strategy-building projects

• Backtesting and optimization projects

• Live API-based algo deployment

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Career Opportunities After the Course

After completing the Certified ALGO Trader (CAT) program, learners can pursue roles such as:

• Algorithmic Trader

• Quantitative Analyst

• Trading Systems Developer

• Financial Data Analyst

• Independent Algo Trader

(This course focuses on skill development. Trading involves risk, and profits or placements are not guaranteed.)

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Certification

• ICFM Digital Certificate

• BFSI Certification (Optional)

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Course Schedule

Weekend Batches (Saturday & Sunday):

• 11:00 AM – 1:30 PM

• 1:30 PM – 4:00 PM

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Course Manager

Hemant Sir (Senior Algo Team Leader In a Top Indian Algo Firm )

Hemant Sir is managing 100 Cr Fund in Algo for his team .

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Who Should Join This Course?

• Aspiring traders and investors

• Working professionals seeking advanced trading skills

• Students interested in quant and algo trading careers

• Anyone looking to automate their trading strategies