Build Your Own Profitable Algo Trading System in 90 Days — Even If You’re Starting From Zero

( Algo Trading is For Aspiring traders, professionals, students, quant enthusiasts )

Master Python-Powered Trading Systems

Develop, backtest, and deploy profitable trading algorithms with expert mentorship and professional certification.

Total Course fee: ₹72,000 Premium Program
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Professional Certification
🐍Python Programming
🤖Live Algorithm Development
🎓Expert Mentorship

Why ICFM is India's Premier Algo Trading Institute

15K+

Students Trained

15+

Years Experience

4.8/5

Student Rating

94%

Satisfaction Rate

Why Choose This Certificate in Algorithmic Trading Course?

Python Programming for Trading

Master Python from basics to advanced data analysis—essential for developing and backtesting trading algorithms.

Algorithm Development & Backtesting

Learn to design, code, and backtest trading algorithms using historical data to validate performance before live trading.

Professional Risk Management

Implement automated risk controls, position sizing algorithms and portfolio optimization techniques for systematic trading.

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Discover the Power of Algorithmic Trading

Watch how our students transformed their trading approach with systematic, data-driven strategies.

Algorithmic Trading Explained

A quick breakdown of how algo trading works and why it outperforms emotional trading.

Complete Strategy Breakdown

Learn how our students build, test, and deploy profitable algorithmic strategies.

Real Student Success Stories

Hear directly from our students about their journey into algorithmic trading.

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Certified ALGO Trader (CAT)

100 Hours · Instructor-led · Practical
Python · APIs · AI 10+ platforms Broker exposure: Zerodha, Angel, Finvasia, ICICI

Career-focused

Algo Trader, Quant Analyst, Systems Developer — real world projects.

AI assisted

ChatGPT, Claude, Blackbox, DeepSeek for debugging & strategy.

End-to-end

From capital markets to live API deployment + SQL storage.

Risk managed

Sharpe, drawdown, win ratio, position sizing.

Tools & APIs:
AlgoTest StockMock Tradetron FYERS TradingView Opstra Stoxxo Sensibull Zerodha Angel One Shoonya ICICI Direct
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🎓 ICFMINDIA 2026

Flexible Fee Options | Limited Seats Per Month

💰 FULL FEE OPTION

₹60,000 /- Save 12,000

One-time payment only sixty thousand rupees.
No hidden charges, complete course access.

Best Value

📆 DURATION PAYMENT

₹72,000 /- Nothing To Save

Pay full fee within course duration. Easy installments without any extra fee if completed before term ends.

Zero interest

📢 Important Enrollment Rules

  • Only 100 students are admitted per month across all batches.
  • If you opt for "Pay Full Fee Within Course Duration" , You Will Not Save Money
  • Only sixty thousand (₹60,000) full one-time fee grants early completion benefits & certification priority.
  • 📅 Monthly intake: strictly 100 seats only. Registrations are first-come-first-serve.
  • 🎯 Admission closes once monthly cap is reached. Secure your spot now!

🎯 Choose any plan: Pay only ₹60,000 full fee upfront OR pay total fee within course duration.
⚠️ Monthly limit: 100 students only. Act fast!
📞 For any assistance, contact admission desk. Terms apply.

Comprehensive curriculum

Module 1: Fundamentals of Capital Markets
  • Capital Markets Overview (Equity & Derivatives)
  • Market Segments and Instruments
  • Introduction to Trading Systems
  • Technical Analysis for Algo Trading
  • Indicators: Moving Averages, VWAP, RSI, MACD
  • Candlestick Patterns & Price Action
  • Trading Styles: Intraday, Swing, BTST
  • Option Strategies: Single-leg & Multi-leg
Module 2: Introduction to Python for Trading
  • Python Basics & Program Structure
  • Data Types & Variables, Operators
  • Conditional Statements & Loops
  • Functions & Modular Programming
  • Exception Handling & File I/O
  • Introduction to OOPS for Trading Systems
Project: Build a rule-based trading system using Python.
Module 3: Advanced Python for Algo Trading
  • 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 after each topic.

Module 4: Backtesting & Strategy Optimization
  • TA-Lib for Technical Analysis
  • Backtesting using Backtrader & VectorBT
  • Building a Backtesting Framework
  • Trading Signal Generation
  • Performance Metrics: Sharpe, Max Drawdown, Win Ratio, Risk-Reward
  • Strategy Optimization & Walk-forward
  • Risk Management in Algo Trading
Project: Design and evaluate multiple algo trading strategies.
Module 5: API Integration & Live Algo Trading
  • Introduction to Rule-Based Trading
  • Broker API Integration with Python (Zerodha, Angel, Finvasia, ICICI)
  • Fetching Live & Historical Market Data
  • Order Execution Automation
  • End-to-End Algo Deployment (zero human interference)
AlgoTest StockMock Tradetron TradingView Opstra Sensibull Stoxxo FYERS
Module 6: SQL Database for Trading Systems
  • MySQL Installation
  • Database & Table Creation
  • Inserting & Storing Market Data
  • Fetching Data from SQL for Analysis
Module 7: Use of AI in Algorithmic Trading
  • Using AI with Python (debugging, data analysis)
  • AI-Based Data Analysis & Backtesting Frameworks
  • AI-Driven Strategy Automation (human validation)

Tools: ChatGPT, Claude, Blackbox, DeepSeek (assist only).

Projects & practical work

Assignments after every major topic
Strategy-building projects
Backtesting & optimization projects
Live API-based algo deployment
S

siddharth Sir (Senior Algo Team Leader)

Leading algo desk at a top Indian firm • 10+ years experience in quantitative strategies.

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Career opportunities

Algorithmic Trader · Quantitative Analyst · Trading Systems Developer · Financial Data Analyst · Independent Algo Trader

*Skill development focus; trading involves risk.

Certification

ICFM Digital Certificate + optional BFSI certification

Weekend batches: Sat & Sun · 11:00–13:30 / 13:30–16:00
Who should join: Aspiring traders, professionals, students, quant enthusiasts
Third‑party platforms covered: AlgoTest, StockMock, Tradetron, FYERS, TradingView, Opstra, Stoxxo, Sensibull — plus broker APIs (Zerodha, Angel One Smart API, Finvasia Shoonya, ICICI Direct).
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Your ICFM Certificate of Completion

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Success Stories: From Our Students

RK

Ramesh Kumar

Former Software Engineer

"After completing this course, I transitioned from software engineering to quantitative trading. The Python and algorithm development modules were exceptional. I now run my own algorithmic trading strategies profitably."

★★★★★
PS

Priya Sharma

Data Analyst

"As a data analyst with no trading experience, this course was perfect for me. It helped me leverage my analytical skills in financial markets. I've developed multiple profitable algorithms and even got a promotion at work!"

★★★★★
AM

Aditya Mehta

College Student

"The live algorithm development sessions were incredibly valuable. I could apply concepts immediately and ask questions in real-time. Best educational investment I've made. I'm now interning at a quantitative trading firm."

★★★★★

Professional Program Investment

Program Includes
  • Full curriculum access with lifetime updates
  • Downloadable Python code & trading algorithms
  • Live‑style algorithm development sessions
  • ICFM Certificate on completion
  • Alumni community access
Professional Resources
  • Advanced algorithmic trading toolkit
  • Professional backtesting framework
  • Algorithm checklist PDFs
  • Priority mentorship for 3 months
  • Career guidance sessions

Frequently Asked Questions

Do I need programming experience for this course?

No prior programming experience is required. We start with Python basics and build up to developing trading algorithms step by step.

Do I get a certificate upon completion?

Yes—an ICFM Certificate is awarded upon successful completion, which is recognized in the financial industry.

How long will I have access to the course materials?

Lifetime access is provided for sufficient time to complete the course plus downloadable resources.

Is there live algorithm development included?

We provide guided, live‑style sessions so you practice developing and testing algorithms with expert feedback.

What if I'm not satisfied with the course?

We offer a 7-day money-back guarantee if you're not satisfied with the course content and delivery.

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