Implement an Algo trading strategy using Python (Workshop)
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
Saturday, 8th Aug, 3 PM IST
More Details
Description
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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
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Pre-requisites
No prior knowledge of Python or Finance needed.
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