Comparison between Traditional and AI Quantitative Strategies
Comparison Category | Traditional Quant Strategies | Kvants AI Algorithmic Strategies |
---|---|---|
Intervention | Manual | Automated |
Expertise Level | Unknown | High & Continuously AI & ML Learning |
Accessibility | Discretionary | Retail and Institutional Investors |
Performance Under Extreme Volatility | Poor-Average | Excellent – Profit Driven |
Performance in Sideways Market Patterns | Difficult | Excellent |
Chart Trend Analysis | Manual | Automated |
Trustworthiness | No Transparency | Transparent & Reliable |
Trading Strategy | Pattern & Signal Strategy Recognition | AI & ML continuously monitoring latest trends along with Algorithmic Strategy based on $1.4 Billion Fund Size |
Joining Fees | High Platform Trading Fees | $KVNT Enabled Tier Access |
Asset Ownership | Opaque via CEX | Ownership via smart contracts |
Deposit & Earnings | FIAT | Deposit USDT & earn in BTC, ETH or other Digital Assets |
Staking & DAO Governance | Not Applicable | Stake Kvants Tokens for Staking Fees & Voting Rights |
Performance Fee Reduction (SNFT Holders) | Not Applicable | Tiers Based on Longer Lockup Period |
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