ML/ AI techniques used to identify stocks "poised" for outperformance
Investment Rationale
- This smallcase seeks to beat the market by identifying stocks which are "poised" to outperform the benchmark.
- Historical valuations of the underlying stock are compared to current valuations using Machine Learning/ Artificial Intelligence techniques, in the context of broad market performance
- Stocks with the highest probability of outperformance are then identified.
- The list is further culled to select the highest quality stocks.
- If enough number of stocks cannot be found by the system for a diversified portfolio, the rest of the capital is deployed into LIQUIDBEES.
- Rebalancing targeted around evey six weeks unless a stock shows material change in fundamentals / quality or in case of fraud
smallcase is played out