Piggi's AI sniffs profits out of meme chaos.

Deposit once & relax — Piggi watches 24/7.

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Token Universe

Click any token to jump to its sentiment analysis

AI Sentiment Snapshot

Piggi's AI constantly monitors the sentiment across the meme token universe. Larger bubbles = more social buzz, color indicates 24h change.

TOP GAINER

TRUMP

+45.2%

TOP DROP

PONKE

-12.3%

AI RISK INDEX

178/100

Aggregated risk metric

Trend Analysis

Data refreshed every 5 minutes. Last update: 7:15:38 PM

Inside Piggi's Brain

How does Piggi turn your meme tokens into a steady stream of profits?

Feed Piggi

1. Feed Piggi

Drop your meme tokens into Piggi's vault and let the AI feasting begin.

Piggi Processes

2. Piggi Processes

AI algorithms scan millions of social signals to identify profitable patterns.

Piggi Pays

3. Piggi Pays

Automated trading captures gains and protects against sudden dumps.

Performance & Back-Tests

Historical performance data showing how Piggi's AI strategies performed against market benchmarks.

Cumulative Return vs HODL

Cumulative Return vs HODL

Our AI strategy outperformed simple HODL by 127% in 2023 bear market.

AI Engine Deep-Dive

Peek under the hood at how Piggi's neural network thinks

sentiment-engine.js
// Pseudocode for Piggi's AI Sentiment Engine
class PiggiAI {
  constructor() {
    this.socialFeedsAnalyzer = new SocialAnalyzer();
    this.priceDataCollector = new PriceCollector();
    this.sentimentModel = loadModel('sentiment-v1.0');
    this.riskEngine = new RiskCalculator();
  }

  async analyzeMemeToken(token) {
    // 1. Collect social data from Reddit, Twitter, Discord
    const socialData = await this.socialFeedsAnalyzer
      .collectPostsAbout(token, timeframe='24h');
      
    // 2. Analyze sentiment using NLP model
    const sentiment = this.sentimentModel.predict(socialData);
    
    // 3. Combine with technical indicators
    const priceData = await this.priceDataCollector
      .getHistoricalData(token, timeframe='7d');
    
    // 4. Calculate risk score
    const riskScore = this.riskEngine.calculateRisk({
      sentiment,
      priceVolatility: priceData.calculateVolatility(),
      marketCap: token.marketCap,
      volume24h: token.volume
    });
    
    // 5. Return trading recommendation
    return {
      token,
      sentiment: sentiment.score, // 0-100
      riskScore, // 0-100
      recommendation: this.generateRecommendation(sentiment, riskScore),
      confidence: sentiment.confidence
    };
  }
}

AI Model Changelog

v1.0

May 15, 2024
  • Initial production release
  • Sentiment analysis with 87% accuracy
  • Support for 20 meme tokens

v0.9

April 28, 2024
  • Beta release with limited token support
  • Implemented multi-dimensional sentiment scoring
  • Added Discord channel monitoring

v0.8

March 12, 2024
  • Alpha model trained on historical price data
  • Twitter/X API integration
  • Basic risk scoring model
Download CSV Results

Full backtest results from Jan 2023 to Apr 2024

Neon Architecture Diagram

How Piggi's AI sentinel processes data and makes trading decisions

User

You deposit meme tokens and set strategy preferences

MemeVault

Secure vault holds your tokens and manages access permissions

AI Sentinel (Eliza)

Neural network analyzes sentiment, volatility, and market conditions

  • Social media monitoring
  • On-chain activity analysis
  • Trading pattern recognition

Dexponent Router

Exchange Routing

Finds best liquidity and lowest slippage across DEXes

Risk Management

Real-time risk scoring and position sizing

Strategy Execution

Transaction batching and gas optimization

End-to-end encrypted. All transactions executed through non-custodial smart contracts.

Community Testimonials

See what early adopters are saying about their experience with Piggi.ai

"I was tired of waking up at 3am to panic sell meme coins. Piggi's AI now handles that emotional rollercoaster for me. My portfolio is up 32% since I started!"
Sarah K.
Early Adopter
🐷

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