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Advanced Algorithmic Trading and Portfolio Management

Team EveryEng

Team EveryEng

Mechanical Engineering

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Advanced Algorithmic Trading and Portfolio Management

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    Team EveryEng

    Team EveryEng

    Mechanical Engineering

  • Course type

    Watch to learn anytime

  • Course duration

    1425 Min

  • Course start date & time

    Access anytime

  • Language

    English

Why enroll

Unlock profitable trading opportunities with Advanced Algorithmic Trading and Portfolio Management! Learn cutting-edge techniques to:

Design and optimize algorithmic trading strategies

Apply machine learning and AI for trading decisions

Optimize portfolio performance with risk management

Backtest and evaluate trading strategies

Master Python, Pandas, NumPy, and scikit-learn. Gain expertise from industry experts.

Enhance trading performance

Boost portfolio returns

Stay ahead of market trends

Join now and transform your trading!

Opportunities that awaits you!

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Career opportunities

Course content

The course is readily available, allowing learners to start and complete it at their own pace.

Video info icon

Advanced Algorithmic Trading and Portfolio Management

28 Lectures

1425 min

  • Lesson icon

    Introduction to R Programming and Installation

    60 min

  • Lesson icon

    Data Handling and Data Cleaning With R

    48 min

  • Lesson icon

    Visulaizing the Weekly Gasoline Price Using Barplot

    37 min

  • Lesson icon

    Basic of Return Risk Framework

    43 min

  • Lesson icon

    Investment Performance and Return Distribution

    50 min

  • Lesson icon

    Portfolio Construction With Two Securities: Expected Returns

    40 min

  • Lesson icon

    Portfolio Construction Recap I

    46 min

  • Lesson icon

    Efficient Frontier Scenarios: Multi Security Case: II

    48 min

  • Lesson icon

    Assumptions With CAPM

    30 min

  • Lesson icon

    Single Index Models and Correlation Structure

    55 min

  • Lesson icon

    Arbitrage Pricing Theory

    65 min

  • Lesson icon

    Portfolio Mangement Strategies

    37 min

  • Lesson icon

    Portfolio Performance Evaluation

    30 min

  • Lesson icon

    Portfolio Performance Evaluation: Timing

    31 min

  • Lesson icon

    Mean Variance Framework Recap

    75 min

  • Lesson icon

    Feasible Portfolio

    72 min

  • Lesson icon

    Dow Theory

    46 min

  • Lesson icon

    Introduction to Moving Averages

    40 min

  • Lesson icon

    Introduction to Momentum Oscillators

    65 min

  • Lesson icon

    Trading Indicators

    58 min

  • Lesson icon

    Bollinger Bands Analysis

    55 min

  • Lesson icon

    Introduction to Panel Methods

    46 min

  • Lesson icon

    Case Study: Prediction of Broad Marketwide Returns

    61 min

  • Lesson icon

    Short Selling in The fullest sense - Minimum Variance Frontier

    61 min

  • Lesson icon

    Fallings of CAPM

    52 min

  • Lesson icon

    Non Marketable Assets

    57 min

  • Lesson icon

    Volatility Models

    61 min

  • Lesson icon

    Value at Risk

    56 min

Course details

Master the art of automated trading and portfolio optimization with this comprehensive course. Learn cutting-edge techniques to design, implement, and execute algorithmic trading strategies, and manage risk.

Source: IIT-Kanpur NPTEL (YouTube Channel)
Prof. Abhinava Tripathi, Dept of Industrial & Management Engineering, IIT Kanpur

Course suitable for

  • Aerospace
  • Automotive
  • Electronics & Instrumentation
  • Data Science & Analysis

Key topics covered

- Develop advanced algorithmic trading strategies using Python and popular libraries (Pandas, NumPy, scikit-learn)

- Implement machine learning and AI techniques for trading decision-making

- Optimize portfolio performance using risk management and diversification methods

- Analyze market data and identify profitable trading opportunities

- Backtest and evaluate trading strategies

Why people choose EveryEng

Industry-aligned courses, expert training, hands-on learning, recognized certifications, and job opportunities—all in a flexible and supportive environment.

Team EveryEng

Team EveryEng

Mechanical Engineering

Questions and Answers