Nifty 100 Index

All publicly traded companies on the National Stock Exchange of India are included in the universe

The team does in-depth research to decide the criteria to be used for constituent screening

smallcases are checked for historical outperformance to ensure that only consistently outperforming strategies are selected

The research team does individual stock picking after going through company reports and financials and decides on a host of qualitative and quantitative parameters to be considered while screening stocks for the respective strategy

Following parameters are considered while assigning weights to stocks in this smallcases<ul><li>Market capitalization</li><li>Management quality and vision</li><li>Theme exposure, revenues and earnings visibility</li></ul>

This smallcase has a monthly rebalance schedule. Once every month, the research team reviews this smallcase and realign the weights with the selected asset allocation strategy for the next month.

The final screened stocks are then weighted according to the selected asset allocation algorithm

ML/ AI smallcase

Compare with 101st-250th market cap stocks

Compare with 251st-350th market cap stocks

Compare with 101st-500th market cap stocks

ML/ AI techniques used to identify stocks "poised" for outperformance

ML/ AI smallcase

Overview

Stocks & ETFs

smallcase is played out