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
  3. AI Driven Quantitative Trading Models

AI in Quantitative Trading Models

The Integration of AI in Quantitative Strategies

AI's incorporation into quantitative trading models revolves around its capacity to handle and examine extensive datasets that would be unfeasible for human traders. Machine learning and deep learning, which are components of artificial intelligence (AI), facilitate the acquisition of knowledge from data, recognising patterns, and decision-making processes with limited human involvement.

Customisation and adaptation are key characteristics of AI-driven models since they exhibit a dynamic nature and possess the ability to adjust to evolving market conditions. The capacity to adapt is of utmost importance in the bitcoin market, given its frequent volatility and quick fluctuations. The AI continually improves its tactics by incorporating fresh data, increasing its forecast precision as time progresses.

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Last updated 1 year ago