ArthAlpha Machine Learning Equity Quant PMS Strategy focuses on identifying companies that benefit from structural shifts in the economy, aiming for long-term wealth creation.
The ArthAlpha Machine Learning Equity Quant PMS Investment Approach is based on investing in businesses moving from unorganized to organized sectors or gaining market leadership.
It falls under the LARGE & MID CAP investment category, offering diversified exposure. As of now, the strategy has a total AUM of an UnDisclosed Amount.
Over the last 1 year, it delivered a strong return of NA, outperforming many peers. Its performance is benchmarked against the S&P BSE 500, ensuring broad market comparison.
ArthAlpha Machine Learning Equity Quant PMS Strategy or Investment Approach - PMS Details
Strategy Name
Start Date
Category
Benchmark
AUM (Rs.)
Min. Investment
Fund Manager
1 Yr. Return
3 Yr. Return
5 Yr. Return
ArthAlpha Machine Learning Equity Quant Portfolio Management Strategy - Portfolio Characteristics
No. of Stocks
Top 5 Stocks%
Top 5 Sectors%
Portfolio Age
SIP
STP
Average Market Cap
ArthAlpha Machine Learning Equity Quant PMS Strategy - Cost or Charges
Fixed Fees
Variable AMC
Variable Profit Sharing
Exit Load 1st Year
Exit Load 2nd Year
Exit Load 3rd Year
ArthAlpha Machine Learning Equity Quant PMS Investment Approach - Portfolio Composition
Large Cap
Mid Cap
Small Cap
Cash & Equivalent
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ArthAlpha Machine Learning Equity Quant Portfolio Strategy - Top 5 Sectors
Financial Services
Consumer Services
Capital Goods
Chemicals
Metal & Minerals