Piggi's AI sniffs profits out of meme chaos.
Deposit once & relax — Piggi watches 24/7.
Token Universe
Track sentiment and market movements for the hottest meme tokens
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 Score
178/200
Volatility + Social mood
Trend Analysis
Data refreshed every hour. Last update: 5:50:27 PM
Inside Piggi's Brain
How does Piggi turn your meme tokens into a steady stream of profits?
1. Feed Piggi
Drop your meme tokens into Piggi's vault and let the AI feasting begin.
2. Piggi Sniffs
AI scans 500k social posts + on-chain flows each day.
3. Piggi Pays
Auto-sell into $USDC, deposit yield
AI Engine Deep-Dive
Peek under the hood at how Piggi's neural network thinks
// Piggi.ai ─ Sentiment & Risk Engine (pseudo)
// ── 1. Normalise raw features to 0-1 scale ───────────────────
function analyzeToken
(token: string, metrics: DailyMetrics): DecisionPayload {
const z = zScoreFactory(token); // keeps 30-day stats in cache
const b = z(metrics.buzzScore); // crowd volume
const s = (metrics.sentiment + 1) / 2; // map −1…+1 → 0…1
const v = clamp(metrics.volatility / 50); // 0 = calm, 1 = wild (>50 %)
const wf = clamp(Math.abs(metrics.whaleFlow)/500_000); // whales ±$500k
const liq = clamp(metrics.dexLiquidity / 5_000_000); // up to $5 M
// ── 2. Compute composite indices ─────────────────────────────
const hypeIndex = 0.4*b + 0.4*s + 0.2*wf; // crowd + whales mood
const riskIndex = 0.5*v + 0.3*(1-liq) + 0.2*wf; // spikiness & thin books
const alphaScore = hypeIndex - riskIndex; // >0 ⇒ risk-adjusted upside
// ── 3. Rule-based guardrails ─────────────────────────────────
const rugRisk = (metrics.lockedLPpct < 70) || !metrics.renounced;
// ── 4. Decision logic ───────────────────────────────────────
let action: 'HOLD' | 'TAKE_PROFIT' | 'HALT';
if (rugRisk) action = 'HALT';
else if (alphaScore > 0.35) action = 'HOLD'; // let it run
else if (alphaScore < -0.15) action = 'TAKE_PROFIT'; // exit to stables
else action = 'HOLD';
// ── 5. Emit payload to MemeVault ─────────────────────────────
return {
token,
ts: Date.now(),
hypeIndex: round(hypeIndex, 3),
riskIndex: round(riskIndex, 3),
alphaScore: round(alphaScore, 3),
action
};
}
/* ---------- helpers ---------- */
function clamp(x:number, max=1) { return Math.min(Math.max(x,0), max); }
function round(x:number, p=2) { return Math.round(x*10**p)/10**p; }
function zScoreFactory(token){ /* cache mean/std per token */ }
AI Model Changelog
v0.1
May 2025- Initial production release
- Sentiment analysis with 87% accuracy
- Support for 20 meme tokens
v0.5
Coming Soon- Beta release with limited token support
- Implemented multi-dimensional sentiment scoring
- Added Discord channel monitoring
v0.8
Coming Soon- Alpha model trained on historical price data
- Twitter/X API integration
- Basic risk scoring model
Most recent 7 Day results for all tokens supported
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
Router: Swap & yield executor
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.
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