Quant Finance workshop: Implement an Algo trading strategy using Python

I’m Sayantam Datta. I'm a Data Scientist at a FinTech company.

In this live workshop, we'll build and execute a trading strategy on real market data using Python.

You can code along as I show you how to import stock market data into Python, build a trading hypothesis and analyse the results.

  • Live online workshop
  • Python code provided on Jupyter notebook
  • Insight into career opportunities in Quant Finance
  • Participation Certificate provided
4.8
(85)

Sunday, 22nd Nov, 3PM IST

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Description

  • What you'll learn

    - Career trajectories in quantitative finance
    - Trading strategy of moving average crossover
    - Pandas dataframe in python
    - Importing market data into python
    - Using rolling means and spread to take market position
    - Reading Sharpe ratio
    - Using training data to formulate strategy for test data

  • About Instructor

    I’m Sayantam Datta. I'm a Data Scientist at a FinTech company before which I did a Masters in Computational Finance in Europe and Bachelors from IIT Bombay.

    From quant research to working directly with the Ex-Director of Deutsche Bank on algo trading, I have developed a strong passion for quantitative finance. I’m passionate about using my learning experience to help others learn and build their career.

  • Who should apply

    Anyone who is interested in Finance, algorithmic trading or applications of Data Science in Finance. The workshop will give you a peek into the world of quantitative finance

  • Pre-requisites

    No prior knowledge of Python or Finance needed.

100

Seats

60 mins

Duration

Beginner

Difficulty

Free

Price