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 | ₹962 Cr | -3.56% | 1.63 | |
| SBI Quant FundVery High | ₹2,600 Cr | -7.7% | 1.12 | View → |
| Aditya Birla Sun Life Quant FundVery High | ₹1,855 Cr | +1.0% | 1.29 | View → |
| Quant Quantamental FundVery High | ₹1,556 Cr | +5.2% | 1.55 | View → |
| UTI Quant FundVery High | ₹1,361 Cr | -3.8% | 2.72 | View → |
| 360 ONE Quant FundVery High | ₹774 Cr | -6.9% | 1.11 | View → |
| Axis Quant FundVery High | ₹764 Cr | -4.3% | 2.72 | View → |
| DSP Quant FundVery High | ₹711 Cr | -5.8% | 1.12 | View → |
| Kotak Quant FundVery High | ₹453 Cr | -6.4% | 1.78 | View → |
| Motilal Oswal Quant FundVery High | ₹234 Cr | -6.0% | 1.67 | View → |
| ICICI Prudential Quant FundVery High | ₹163 Cr | -1.6% | 2.06 | View → |
| Nippon India Quant FundVery High | ₹108 Cr | -2.8% | 0.84 | View → |