Professional Trader

Quantitative Trading Strategies using Python

Overview

Master systematic, data-driven trading with Python by exploring predictive models, machine learning, and statistical strategies for profitable decision-making.

  • 4 Hours 45 Hours of Learning
  • Learners 0.3K+ Learners
  • GST Derivatives 30,000+ GST

What You Will Learn

Statistical arbitrage methods Mean reversion strategies Factor investing techniques Smart beta portfolio design Volatility trading models Backtesting workflows Performance evaluation metrics

Skills You Will Learn

Skills
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    Data analysis in Python

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    Trading algorithm design

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    Risk management planning

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    Machine learning application

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    Predictive model building

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    Portfolio optimization

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    Quantitative strategy coding

Course Key Highlights

  • Learn systematic, rule-based trading approaches
  • Explore statistical arbitrage opportunities in markets
  • Apply factor investing and smart beta strategies
  • Build predictive models using AI and machine learning
  • Implement volatility trading strategies with precision
  • Backtest strategies using Python for performance insights
  • Evaluate risk-adjusted returns effectively
  • Gain industry-relevant quantitative trading expertise

Course Time

Includes:
  • Time

    Self-paced
    Modules

  • Time

    Practical assignments

  • Time

    Quizzes and assessments

  • Time

    45 Hours of Learning

Explore more Investment Banking Plans

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Essential Technical Analysis

Build a strong foundation in market trends, price action, and indicators to make informed trading decisions.

Key Highlights:

  • Candlestick patterns & trend analysis
  • Demand and supply zones and strategies
  • Moving averages & momentum indicators
  • Momentum and mean reversion strategies
  • Risk management using technical indicators
  • Developing a comprehensive trading plan
Duration

Duration: 2 Weeks

Tools

Tools: Excel, Solver, Power Query

From:

INR 20,000 + GST
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Advanced Technical Analysis

Master complex indicators, patterns, and trading psychology to refine precision trading strategies for dynamic markets.

Key Highlights:

  • Elliott Wave Theory & market cycles
  • Harmonic patterns & Fibonacci extensions
  • Advanced candlestick, OI & volume analysis
  • Algorithmic indicators & quantitative models
  • Technical analysis for options trading
  • Live market trading & strategy optimization
Duration

Duration: 2 Weeks

Tools

Tools: Excel, Solver, Power Query

From:

INR 35,000 + GST
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Quantitative Trading Strategies using Python

Learn to design systematic, data-driven trading strategies using statistical models, ML, and backtesting in Python.

Key Highlights:

  • Statistical arbitrage & mean reversion strategies
  • Factor investing & smart beta approaches
  • ML & AI for predictive modeling in trading
  • Volatility trading strategies using quantitative methods
  • Backtesting and performance evaluation in Python
Duration

Duration: 2 Weeks

Tools

Tools: Excel, Solver, Power Query

From:

INR 30,000 + GST
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Algorithmic Trading & Strategies using Python

Develop and execute automated trading strategies using Python, with advanced modeling and risk management.

Key Highlights:

  • Build automated trading systems for equities, FX & crypto
  • Implement execution algorithms to minimize market impact
  • Design technical analysis-based algorithmic strategies
  • Create price action-driven trading algorithms
  • Apply statistical arbitrage & mean reversion techniques
  • Backtest and optimize strategies in Python
Duration

Duration: 2 Weeks

Tools

Tools: Excel, Solver, Power Query

From:

INR 45,000 + GST
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NLP for Text Processing

Leverage NLP and deep learning to extract insights from text data and build AI-driven trading tools.

Key Highlights:

  • Fundamentals of NLP, text preprocessing, tokenization
  • NER, POS tagging & language parsing
  • Sentiment analysis & classification models
  • Word embeddings: Word2Vec, GloVe, FastText
  • Topic modeling with LDA and NMF
  • Build chatbots & fine-tune NLP models
Duration

Duration: 2 Weeks

Tools

Tools: Excel, Solver, Power Query

From:

INR 55,000 + GST
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FAQs

What is the main focus of this course?

The course focuses on systematic, data-driven trading strategies using Python, covering statistical, machine learning, and backtesting techniques.

Do I need prior programming experience?

While Python knowledge is helpful, the course includes guidance for applying code to trading models.

Will I learn about real-world trading applications?

Yes, examples include statistical arbitrage, factor investing, and volatility strategies.

How is the course delivered?

It is a self-paced module with assignments, quizzes, and 45 hours of total learning content.

Who is this course suitable for?

Professionals and learners interested in quantitative trading, portfolio optimization, and algorithmic execution.

Infra

Advance your career in quantitative trading with industry-focused Python applications.

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