📚How it Works

Uncover the mechanics behind AIQuant.fun’s AI-powered agents, token analytics, and performance-driven milestones.

A Technical Deep Dive

AIQuant.fun's underlying infrastructure is built to evaluate, classify, and trade cryptocurrency tokens with precision, leveraging a combination of AI-driven analytics and robust configuration mechanisms. Below, we summarize the core functionality and expand on its technical inner-workings.

Real-Time Evaluation and Monitoring

AIQuant.fun uses continuous data feeds to monitor crypto markets and evaluate tokens. Some of our sources include, but are not limited to, DexScreener, BirdEye, and Dune. Its multi-layered architecture ensures high reliability and adaptability:

• Token Analysis: As tokens are discovered, they are classified into categories (Active, Dormant, Pending, or Rejected) based on performance across technical, on-chain, and social metrics.

• Configuration-Driven: Token evaluation relies on configurable thresholds for multiple parameters, such as liquidity, age, volatility, and sentiment, ensuring flexibility across different market conditions.

Technical Analysis Metrics

AIQuant.fun integrates advanced technical indicators to assess market trends and opportunities:

• RSI: Measures market momentum, signaling overbought (>70) or oversold (<30) conditions.

• MACD: Detects momentum shifts through crossovers between the MACD and signal lines.

• Bollinger Bands: Identifies price volatility and potential breakouts.

• Moving Averages (SMA/EMA): Highlights long-term trends, such as bullish signals when price surpasses a 200-day EMA.

These indicators are used with configurable thresholds to trigger buy or sell conditions, ensuring adaptability to market dynamics.

Onchain and Market Metrics

AIQuant.fun evaluates tokens with a comprehensive set of configurable onchain metrics:

• Liquidity: Ensures sufficient depth in trading pairs to minimize slippage, with thresholds such as $50,000 minimum liquidity.

• Transaction Activity: Tracks the ratio of buy to sell volume and total trade count over periods ranging from 30 minutes to 24 hours.

• Holder Distribution: Assesses risks by evaluating the concentration among top holders (e.g., maximum 20% for the top 10 wallets).

Market metrics like price volatility and trading volume trends are integrated to detect potential price manipulation or unhealthy token ecosystems.

Social Sentiment and Community Dynamics

Social metrics play a key role in understanding market sentiment and token credibility:

• Sentiment Analysis: Weighted sentiment scores across platforms (e.g., Telegram, Twitter) highlight overall mood toward a token.

• Influencer Activity: Evaluates engagement metrics such as posts and interactions from the top 20 key opinion leaders (KOLs).

• Community Metrics: Tracks unique contributors, posts, and trend direction to gauge token popularity and engagement.

Token Monitoring Framework

AIQuant.fun employs a rigorous token evaluation framework, leveraging configurations for performance thresholds:

• Price Change and Volatility: Configurable thresholds ensure tokens are active and responsive without excessive risk.

• Age and Security: Tokens must meet minimum age requirements and pass security audits for mint and freeze functions.

• DEX Listings: Ensures a minimum presence on decentralized exchanges for broader accessibility.

This framework categorizes tokens dynamically based on aggregated data, ensuring only high-potential tokens remain Active.

Risk Management

AIQuant.fun incorporates risk management mechanisms, such as:

• Liquidity Checks: Ensures sufficient liquidity to execute trades without significant slippage.

• Top Holder Analysis: Limits exposure to tokens with high centralization risk.

• Volatility Control: Avoids excessive price swings by capping maximum allowable volatility levels.

AI and Predictive Modeling

AIQuant.fun leverages AI and machine learning models for enhanced decision-making:

• Predictive Algorithms: AI-driven models forecast price trends and market sentiment.

• Dynamic Thresholding: Adaptive configurations modify thresholds based on market conditions, optimizing decision-making.

AIQuant.fun's system integrates configurable technical, on-chain, and social evaluation metrics into a cohesive framework. By leveraging real-time analytics, predictive AI models, and strict governance, the platform ensures data-driven, risk-managed decision-making for cryptocurrency evaluation and trading. This advanced system positions AIQuant.fun as a reliable and adaptive solution for modern crypto trading challenges.