Professional Trader

Algorithmic Trading & Strategies using Python

Overview

Master the art of building, testing, and executing algorithmic trading strategies using Python, covering equities, FX, and crypto markets.

  • 4 Hours 45 Hours of Learning
  • Learners 0.9K+ Learners
  • GST Derivatives 45,000+ GST

What You Will Learn

Strategy design concepts Price action strategy building Technical analysis strategy building Execution algorithm development Statistical arbitrage principles Mean reversion techniques Python backtesting workflows Risk management techniques

Skills You Will Learn

Skills
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    Python for trading

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    Data analysis

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    Backtesting in Python

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    Market impact reduction

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    Strategy optimization

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    Trading model evaluation

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    Execution algorithm coding

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    Risk assessment

Course Key Highlights

  • Build automated trading systems for equities, FX, and crypto
  • Create execution algorithms to minimize market impact
  • Develop technical analysis-based trading strategies using algorithms
  • Design price action-based algorithmic strategies
  • Apply statistical arbitrage and mean reversion techniques
  • Backtest and optimize strategies with Python for better results
  • Explore machine learning integration for algorithmic trading models
  • Learn risk management frameworks for algorithmic strategies

Course Time

Includes:
  • Time

    Self-paced
    Modules

  • Time

    Case studies and projects

  • 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
Learn More
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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 markets are covered in the course?

The course covers equities, foreign exchange (FX), and cryptocurrency markets.

Does the course include strategy backtesting?

Yes, it includes backtesting and optimization of trading strategies using Python.

Are execution algorithms part of the curriculum?

Yes, you will learn to implement execution algorithms to minimize market impact.

Will I learn about both technical and price action strategies?

Yes, the course includes building strategies based on technical analysis and price action.

Does the course cover risk management techniques?

Yes, it includes risk management frameworks for algorithmic trading models.

Infra

Start building profitable algorithmic trading strategies with Python and proven market techniques.

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