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  • Welcome to xFractal
  • Core Capabilities & Key Components
  • xFractal Technology
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    • xAS - xFractal's Agentic System
      • Autonomous Agents and Their Roles
      • Key Agent Components
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      • Intent Recognition
      • (Soon) Know Your Trader (KYT)
    • Aya
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    • dApp
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      • (Soon) Explore
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© xFractal 2025

On this page
  • Core Functionality
  • AI-Driven User Evaluation
  • On-Chain Behavioral Analysis
  1. xFractal Technology
  2. xAS - xFractal's Agentic System

(Soon) Know Your Trader (KYT)

Coming soon.

xFractal’s Know Your Trader (KYT) framework is a user-centric evaluation system designed to provide hyper-personalized trading intelligence. Unlike traditional platforms that rely on one-size-fits-all strategies, KYT leverages AI-driven evaluation agents to understand each trader’s unique methodology, preferences, and decision-making processes.

By integrating real-time user profiling, on-chain analytics, and off-chain behavioral insights, KYT enables xFractal to dynamically adapt to individual users, ensuring that every trade, recommendation, and market alert aligns with the trader’s strategy, risk appetite, and priorities.


Core Functionality

AI-Driven User Evaluation

Upon onboarding, xFractal deploys an evaluator agent that engages the user in a structured conversation. Note that this is optional and at the user’s discretion. It extracts insights on:

Asset Focus

Token types (memecoins, DeFi, NFTs, staking tokens), FDV vs. MC preference, on-chain vs. CEX trading

Early-Stage Discovery

Alpha sources (Twitter, Telegram, private groups), launchpad participation, sniping strategies

Position Sizing

% of portfolio per trade, Kelly Criterion use, scaling in/out strategies

Ultimate Trading Goals

Scalability, ecosystem contribution, community building, passive income vs. active trading

Trade Duration

Holding duration, frequency of flipping, conviction in ecosystem plays

Portfolio Allocation

% in Solana vs. Ethereum/BTC/other chains, ratio of stablecoins, hedge strategy

Evaluation Criteria

Fundamental analysis metrics (market cap, revenue, tokenomics), technical analysis reliance, social sentiment factors

Profit-Taking & Loss Cutting

Risk-reward ratio, % of profit target vs. stop loss, use of trailing stops

Trading Strategies

Day trading, swing trading, scalping, HFT, arbitrage, trend following, mean reversion

Risk Tolerance

Maximum drawdown %, volatility preference (low, medium, high), leverage usage

FOMO

Emotional discipline, response to losses, adherence to plan under stress.

Social Trading & Influence

Key influencers followed, engagement in trading communities, copy trading usage, Kaito Yaps, Smart followers.

Psychological biases & fears

Historical behavior under market stress.

These insights create a detailed trading profile that allows xFractal to optimize its AI agents to each user’s unique behavior.


On-Chain Behavioral Analysis

KYT conducts real-time analysis of the user’s wallet(s) activity to identify:

  • Trade patterns – Frequency, volume, holding duration.

  • Risk exposure – Leverage usage, drawdown trends.

  • Profitability trends – Win/loss ratio, historical returns.

  • Whale interactions – Copy-trading, engagement with influencer wallets.

By continuously evaluating on-chain activity, KYT refines user profiles dynamically, allowing xFractal’s AI agents to learn and adapt as the user’s strategy evolves.


Off-Chain Sentiment & Social Insights

KYT extends beyond trading behavior by analyzing the user’s off-chain digital footprint from Twitter.

  • Interest mapping – Topics of engagement, preferred influencers, thought leaders followed.

  • Sentiment correlation – Positive/negative reaction patterns to market news.

  • Network influence – User’s role in communities, engagement levels in DeFi discussions.

This data allows xFractal to align AI-driven insights with the user’s broader market perspective, ensuring intelligent filtering of information, alerts, and actionable signals.


Adaptive Capabilities

Once the KYT agent establishes a user profile, it actively optimizes the xFractal experience by:

  1. Tailoring Trading Execution – AI agents execute trades in alignment with the user’s defined strategies, risk parameters, and market preferences.

  2. Personalized Market Intelligence – Alerts and insights are filtered and prioritized based on individual trading styles and investment goals.

  3. Dynamic Recommendation Engine – KYT predicts user interest in specific tokens, strategies, and narratives, enhancing discovery.

  4. Real-Time Social Signal Integration – The system surfaces relevant Twitter content, influencer insights, and breaking market trends that match user interest profiles.

  5. Continuous Learning & Adaptation – As the user trades, engages, and evolves, KYT refines its models to provide increasingly accurate, personalized intelligence

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Last updated 3 months ago