Capital Markets Career Track Industry projects provide hands-on experience and real-world application in financial technology.
In the Career Track, participants work on an Industry Project to solve a problem related to the Target Role, Sector and Company.
| Company | Project Title | Project Description |
|---|---|---|
| Stock Edge | Trading Screeners For Equity | The objective of the study is to use technical indicators to screen stocks to ascertain if the stocks change their trend on an intra day or swing basis. The group used the application of Python to create the source code which ran the functions from various libraries to back test on 6 years of data of the pre-defined stock universe. |
| Masters Portfolio Services | Quantitative Portfolio Management Using ML | Created a long, short momentum portfolio of stocks in Indian markets which have futures trading. 2. Apply some fundamental filters also to sort the stocks first and then apply momentum using ML. |
| Quantinsti | Swing Trading Strategies For The Indian Equity Market | The group created, tested, and paper-traded a systematic investment/trading strategy using Python and its data science stack. The group prepared and submitted a report with details on the data set used, techniques deployed, and detailed results obtained on in-sample and out-of-sample data. |
| Quantinsti | Quantum Momentum Strategies | The group Created a long-only and a long-short momentum portfolio of stocks and created three different models that try to capture momentum in the market using the following approaches.
|
| Irage | Analysis Of Indian Futures Market | The group analysed how the futures market characteristics have changed over time i.e., pre covid & post covid with specific reference to select Nifty 50 & Bank Nifty stocks. The group used python to source the past 5-year data. |
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