Kvants Whitepaper
  • Kvants
    • Introducing Kvants
      • Foreword from our CEO
      • Our Mission
      • Market Research
      • Market Opportunity
      • AI Driven Quantitative Trading Models
        • AI in Quantitative Trading Models
        • Advancements in Predictive Analytics
        • Sophisticated Pattern Recognition Techniques
        • Enhanced Market Trend Forecasting in AI-Driven Quantitative Trading Models
        • Real-time Adaptability and Decision Making in AI-Driven Quantitative Trading Models
      • Introducing a new way to generate Alpha.
    • Kvants - Investment Enabled Marketplace for AI-Driven Quant Trading Strategies
      • Kvants App (Kvants Plus+)
      • Selecting an AI-driven Quantitative Trading Strategy
        • Kvants Robo Advisor
        • Quant Strategy Onboarding Due-Diligence Process
      • Stake a $KVAI Tier
      • Investing via Centralized Exchanges
        • API Trading
        • Connecting your exchange
          • Binance
          • OKX
          • KuCoin
          • ByBit
          • Kraken
          • HTX
          • MEXC
      • Investing via DeFi Quant Vaults
        • Funding Smart Contract
          • Strategy Pools
          • Strategy Vaults
        • Funds Operation Smart Contract
        • Strategy Connector (Database + Smart Contract)
        • Mid-Layer Risk Management Server for External Quant Strategies
        • Advantages of DeFi Vaults for Investors
      • Democratizing the world of Quantitative Finance
      • Kvants+ Pro - Securitized Semi-Fungible Tokens
        • Regulatory Compliance
          • Legal opinion for functioning as an Investment Enabled Marketplace
          • BVI Incubator Fund Characteristics
          • UAE Regulations for Marketing Foreign Investment Funds
      • How Kvants AI Works: A Simplified Overview
    • $KVAI Token
      • Tokenomics
      • Token Economy
    • The DAO
    • Roadmap
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  1. Kvants
  2. Introducing Kvants

AI Driven Quantitative Trading Models

Integrating Artificial Intelligence (AI) with quantitative trading models signifies a major advancement in which retail and institutional firms will approach cryptocurrency trading, primarily within decentralised perpetual futures, due to the current sophistication of the traders and algorithmic involvement in the markets being much lower than with traditional finance.

The split between discretionary and algorithmic or computer-driven trading is still very asymmetric in perpetual futures markets. Enabling a large alpha generation from quantitative models that aim to utilise volumetric factor models to outperform the regular investor.

A large alpha opportunity appears by introducing quantitative finance models on top of an asset class predominantly dominated by discretionary investing and highly emotional decision-making.

Enabling quantitative models that can formulate super-rational trade decisions based on their ability to price in the available volumetric data that feeds into the mathematical model to execute trading signals.

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Last updated 1 year ago