Documentation

Learn about PumpSeek's advanced AI features and capabilities

Overview of PumpSeek

PumpSeek represents the next evolution in cryptocurrency analytics and trading intelligence. Powered by DeepSeek's cutting-edge AI technology and a sophisticated data-driven ecosystem, PumpSeek offers a transformative approach to navigating the volatile and dynamic world of digital assets. Our platform combines advanced neural networks, including DeepSeek's proprietary models, with real-time market data to deliver unparalleled insights for investors, traders, and enthusiasts.

At its core, PumpSeek serves as an AI-powered oracle for the cryptocurrency space, leveraging DeepSeek's advanced language models and neural networks to analyze vast amounts of data from diverse sources. These include on-chain metrics, social media trends, trading activity, and blockchain analytics. This comprehensive approach ensures that PumpSeek identifies and highlights tokens and projects with the highest growth potential before they become widely recognized.

What sets PumpSeek apart is its implementation of DeepSeek's state-of-the-art machine learning models, combined with a strong focus on community engagement. The platform not only offers groundbreaking tools and insights but also fosters collaboration among its users, creating a unique feedback loop where community input enhances the AI's predictive capabilities.

Key Features

DataScan

DataScan utilizes DeepSeek's advanced neural networks to process and analyze real-time blockchain data, social media trends, and market indicators. Our system employs sophisticated natural language processing models to understand market sentiment and predict potential price movements with unprecedented accuracy.

PumpInsights

Powered by DeepSeek's proprietary AI models, PumpInsights delivers real-time market analysis and predictions. The system combines multiple neural networks to process market data, social signals, and on-chain metrics, providing users with actionable trading insights.

Technical Components

  • AI Market Scanning powered by DeepSeek's neural networks
  • Customizable time frame predictions
  • Advanced token scoring system (1-10 scale)
  • Integrated risk assessment with RugDetection

AI Models

  • DeepSeek Reinforcement Learning for continuous model improvement
  • Random Forest Regression for multi-factor analysis
  • Monte Carlo simulations for market scenario modeling

TradeRewards

TradeRewards is our gamified leaderboard system that incentivizes successful trading based on PumpSeek's AI predictions. The system uses DeepSeek's analytics to track and verify trading performance, rewarding users who achieve the highest ROI.

Key Features

  • Real-time trade tracking and verification
  • Dynamic leaderboard with performance metrics
  • Token and NFT rewards for top performers
  • AI-powered performance analytics

ProjectSubmit

ProjectSubmit enables community-driven token discovery, leveraging DeepSeek's AI to analyze and evaluate submitted projects. This feature combines human insight with machine learning to identify promising opportunities early.

System Components

  • AI-powered project evaluation system
  • Blockchain-based voting mechanism
  • Automated due diligence checks
  • Community feedback integration

CommunityAnalysis

Our CommunityAnalysis module uses DeepSeek's advanced NLP models to evaluate social signals and community engagement metrics, providing deep insights into project legitimacy and potential.

Analysis Components

  • Social media sentiment analysis
  • Community growth metrics tracking
  • Influencer network mapping
  • Engagement quality assessment

RugDetection

RugDetection represents the cutting edge of blockchain security, powered by DeepSeek's machine learning models. This system continuously monitors on-chain activity to identify and alert users to potential scams and fraudulent activities.

Security Features

  • Real-time transaction monitoring
  • Smart contract vulnerability detection
  • Wallet behavior analysis
  • Risk scoring and alerts

Vision

PumpSeek aims to revolutionize cryptocurrency trading by combining DeepSeek's cutting-edge AI technology with comprehensive market analysis. Our vision is to become the definitive AI oracle for crypto markets, transforming speculative trading into data-driven decision-making.

Core Objectives

  • Democratize access to advanced trading intelligence
  • Reduce market manipulation through transparency
  • Foster a safer trading environment
  • Drive innovation in AI-powered market analysis

High-Level Architecture

PumpSeek's architecture leverages DeepSeek's advanced AI infrastructure to deliver real-time insights and analysis:

Data Ingestion Layer

  • Multi-source data collection (blockchain, social, market)
  • Real-time WebSocket streaming
  • Distributed data processing pipeline

AI Processing Core

  • DeepSeek's NLP models for sentiment analysis
  • Advanced predictive modeling
  • Real-time anomaly detection

Analytics Engine

  • Custom visualization pipeline
  • Real-time data aggregation
  • Interactive dashboards

Technology Stack

AI and Machine Learning

  • DeepSeek's proprietary neural networks
  • TensorFlow and PyTorch for model deployment
  • Custom NLP models for market analysis
  • Reinforcement learning for strategy optimization

Backend Infrastructure

  • Distributed computing with Kubernetes
  • High-performance data processing
  • Real-time WebSocket communication
  • Blockchain node integration

Security and Compliance

  • Advanced encryption protocols
  • Automated security auditing
  • Real-time threat detection
  • Regulatory compliance framework

API Integration

PumpSeek provides a comprehensive REST API for integrating our AI-powered analytics into your applications. Here are some common integration patterns:

WebSocket Connection

const ws = new WebSocket('wss://api.pumpseek.io/v1/stream');

ws.onopen = () => {
    // Subscribe to real-time token updates
    ws.send(JSON.stringify({
        action: 'subscribe',
        channel: 'tokens',
        filters: {
            minMarketCap: 1000000,
            minVolume: 50000
        }
    }));
};

ws.onmessage = (event) => {
    const data = JSON.parse(event.data);
    if (data.type === 'token_update') {
        console.log('New token data:', data.payload);
    }
};

REST API Example

// Fetch token analysis
async function getTokenAnalysis(mintAddress) {
    const response = await fetch(`https://api.pumpseek.io/v1/tokens/${mintAddress}/analysis`, {
        headers: {
            'Authorization': 'Bearer YOUR_API_KEY',
            'Content-Type': 'application/json'
        }
    });
    
    const data = await response.json();
    return data;
}

// Get social sentiment analysis
async function getSocialSentiment(symbol) {
    const response = await fetch(`https://api.pumpseek.io/v1/social/sentiment`, {
        method: 'POST',
        headers: {
            'Authorization': 'Bearer YOUR_API_KEY',
            'Content-Type': 'application/json'
        },
        body: JSON.stringify({
            symbol: symbol,
            timeframe: '24h'
        })
    });
    
    const data = await response.json();
    return data;
}

Response Format

{
    "token": {
        "mint": "TokenMintAddress123",
        "symbol": "TOKEN",
        "name": "Token Name",
        "marketCap": 15000000,
        "volume24h": 2500000,
        "analysis": {
            "sentiment": {
                "score": 0.85,
                "trend": "positive",
                "sources": {
                    "twitter": 0.88,
                    "telegram": 0.82,
                    "news": 0.85
                }
            },
            "technical": {
                "rsi": 65.4,
                "macd": {
                    "signal": "buy",
                    "strength": 0.75
                },
                "support": 1.23,
                "resistance": 1.45
            },
            "risk": {
                "score": 0.35,
                "factors": {
                    "liquidity": 0.2,
                    "concentration": 0.4,
                    "volatility": 0.45
                }
            }
        }
    }
}

Advanced Usage

Custom Trading Signals

Create custom trading signals using our AI models:

class CustomSignalGenerator {
    constructor(apiKey) {
        this.apiKey = apiKey;
        this.baseUrl = 'https://api.pumpseek.io/v1';
    }

    async createSignal(params) {
        const indicators = await this.fetchIndicators(params.token);
        const sentiment = await this.fetchSentiment(params.token);
        
        return {
            token: params.token,
            signal: this.analyzeData(indicators, sentiment),
            confidence: this.calculateConfidence(indicators, sentiment),
            timestamp: new Date().toISOString()
        };
    }

    async fetchIndicators(token) {
        // Fetch technical indicators
        const response = await fetch(
            `${this.baseUrl}/indicators/${token}`,
            {
                headers: { 'Authorization': `Bearer ${this.apiKey}` }
            }
        );
        return await response.json();
    }

    analyzeData(indicators, sentiment) {
        // Custom signal logic
        const technicalScore = this.calculateTechnicalScore(indicators);
        const sentimentScore = sentiment.score;
        
        if (technicalScore > 0.7 && sentimentScore > 0.6) {
            return 'strong_buy';
        } else if (technicalScore < 0.3 && sentimentScore < 0.4) {
            return 'strong_sell';
        }
        return 'neutral';
    }
}

Automated Trading Integration

Example of integrating PumpSeek signals with automated trading:

class PumpSeekTrader {
    constructor(config) {
        this.pumpseek = new PumpSeekClient(config.apiKey);
        this.wallet = new SolanaWallet(config.privateKey);
        this.minConfidence = config.minConfidence || 0.8;
    }

    async startTrading() {
        // Subscribe to real-time signals
        this.pumpseek.subscribeToSignals(async (signal) => {
            if (signal.confidence >= this.minConfidence) {
                await this.executeTradeStrategy(signal);
            }
        });
    }

    async executeTradeStrategy(signal) {
        const position = await this.calculatePosition(signal);
        if (position.shouldTrade) {
            await this.placeTrade({
                token: signal.token,
                side: signal.direction,
                size: position.size,
                price: signal.price,
                stopLoss: position.stopLoss
            });
        }
    }

    async calculatePosition(signal) {
        const balance = await this.wallet.getBalance();
        const risk = 0.02; // 2% risk per trade
        
        return {
            shouldTrade: true,
            size: balance * risk,
            stopLoss: signal.price * 0.95 // 5% stop loss
        };
    }
}

DeepSeek AI Integration

PumpSeek leverages DeepSeek's advanced AI models for market analysis and prediction. Here's how our integration works:

Model Architecture

class DeepSeekPredictor {
    constructor() {
        this.model = new DeepSeekModel({
            type: 'market_prediction',
            layers: [
                { type: 'price_analysis', depth: 12 },
                { type: 'sentiment_analysis', depth: 8 },
                { type: 'pattern_recognition', depth: 16 }
            ]
        });
    }

    async predict(token) {
        const marketData = await this.fetchMarketData(token);
        const sentiment = await this.fetchSentimentData(token);
        
        const prediction = await this.model.predict({
            market: marketData,
            sentiment: sentiment,
            timeframe: '4h'
        });

        return {
            direction: prediction.direction,
            probability: prediction.probability,
            targets: prediction.priceTargets,
            confidence: prediction.confidence
        };
    }

    async trainModel(historicalData) {
        await this.model.train({
            data: historicalData,
            epochs: 1000,
            batchSize: 64,
            validationSplit: 0.2
        });
    }
}

Real-time Analysis Pipeline

class AnalysisPipeline {
    constructor() {
        this.predictor = new DeepSeekPredictor();
        this.dataCollector = new DataCollector();
        this.signalGenerator = new SignalGenerator();
    }

    async processToken(token) {
        // Collect real-time data
        const data = await this.dataCollector.collect(token);
        
        // Generate DeepSeek prediction
        const prediction = await this.predictor.predict(token);
        
        // Analyze on-chain data
        const chainAnalysis = await this.analyzeChainData(token);
        
        // Generate trading signal
        const signal = this.signalGenerator.generate({
            prediction,
            chainAnalysis,
            marketData: data
        });

        return {
            token,
            signal,
            confidence: prediction.confidence,
            analysis: {
                technical: chainAnalysis,
                sentiment: prediction.sentiment,
                risk: this.calculateRisk(chainAnalysis)
            }
        };
    }
}

Security Best Practices

When integrating with PumpSeek, follow these security guidelines:

API Key Management

// DON'T: Expose API keys in client-side code
const apiKey = 'your-api-key'; // Bad practice

// DO: Use environment variables and server-side authentication
const apiKey = process.env.PUMPSEEK_API_KEY;

// DO: Implement key rotation
class KeyManager {
    constructor() {
        this.keys = new Map();
        this.rotationInterval = 24 * 60 * 60 * 1000; // 24 hours
    }

    async rotateKeys() {
        const newKey = await this.generateNewKey();
        this.keys.set(newKey.id, {
            key: newKey.value,
            expiresAt: Date.now() + this.rotationInterval
        });
    }
}

Rate Limiting

class RateLimiter {
    constructor() {
        this.requests = new Map();
        this.limit = 100; // requests per minute
        this.window = 60 * 1000; // 1 minute
    }

    async checkLimit(apiKey) {
        const now = Date.now();
        const userRequests = this.requests.get(apiKey) || [];
        
        // Clean old requests
        const validRequests = userRequests.filter(
            time => now - time < this.window
        );
        
        if (validRequests.length >= this.limit) {
            throw new Error('Rate limit exceeded');
        }
        
        validRequests.push(now);
        this.requests.set(apiKey, validRequests);
        return true;
    }
}