Quant funds use rules-based, algorithm-driven models to select and weight stocks — removing human emotion and bias from the investment process. The models scan large amounts of data to identify patterns. Performance depends entirely on the quality of the underlying model and how well it adapts to changing market conditions.
| Fund Name | AUM | 1Y Returns | TER(%) | |
|---|---|---|---|---|
| Category Average | ₹1,054 Cr | +3.8% | 1.48 | |
| SBI Quant FundVery High | ₹2,921 Cr | +3.0% | 1.63 | View → |
| Aditya Birla Sun Life Quant FundVery High | ₹2,035 Cr | +9.7% | 1.32 | View → |
| Quant Quantamental FundVery High | ₹1,660 Cr | +14.7% | 1.60 | View → |
| UTI Quant FundVery High | ₹1,489 Cr | +1.0% | 0.55 | View → |
| 360 ONE Quant FundVery High | ₹846 Cr | +0.6% | 1.25 | View → |
| Axis Quant FundVery High | ₹833 Cr | +4.1% | 2.79 | View → |
| DSP Quant FundVery High | ₹767 Cr | -1.2% | 1.08 | View → |
| Kotak Quant FundVery High | ₹496 Cr | +3.3% | 1.68 | View → |
| Motilal Oswal Quant FundVery High | ₹256 Cr | +2.1% | 1.48 | View → |
| ICICI Prudential Quant FundVery High | ₹169 Cr | +1.4% | 2.08 | View → |
| Nippon India Quant FundVery High | ₹116 Cr | +3.0% | 0.86 | View → |