TRADING & QUANT RESEARCH

OVERVIEW

PulseBit provides quantitative traders and researchers with machine-readable sentiment data that integrates seamlessly into trading algorithms. Our API delivers real-time sentiment scores with sub-2-second latency, historical datasets for backtesting, and structured data for systematic strategies.

Trusted by quant teams, proprietary trading firms, and individual algo traders for generating news-driven alpha signals and managing risk exposure.

KEY FEATURES FOR TRADING

CODE EXAMPLES

import requests

def get_crypto_sentiment():
    """Fetch Bitcoin sentiment for trading signal"""
    response = requests.get(
        "https://api.pulsebit.io/news_search",
        params={"q": "Bitcoin", "limit": 50},
        headers={"X-RapidAPI-Key": "YOUR_API_KEY"}
    )
    data = response.json()
    
    # Calculate aggregate sentiment
    sentiments = [article['sentiment'] for article in data['articles']]
    avg_sentiment = sum(sentiments) / len(sentiments)
    
    # Generate signal
    if avg_sentiment > 0.2:
        return "BUY"
    elif avg_sentiment < -0.2:
        return "SELL"
    return "HOLD"

signal = get_crypto_sentiment()
print(f"Trading Signal: {signal}")

const axios = require('axios');

async function monitorMarketSentiment(topics) {
  const results = await Promise.all(
    topics.map(async (topic) => {
      const response = await axios.get(
        'https://api.pulsebit.io/news_recent',
        {
          params: { topic, hours: 1 },
          headers: { 'X-RapidAPI-Key': process.env.API_KEY }
        }
      );
      
      const articles = response.data.articles;
      const avgSentiment = articles.reduce(
        (sum, a) => sum + a.sentiment, 0
      ) / articles.length;
      
      return { topic, sentiment: avgSentiment, count: articles.length };
    })
  );
  
  return results;
}

// Monitor finance and crypto topics
monitorMarketSentiment(['finance', 'crypto']).then(console.log);

# Download 90-day sentiment history for backtesting
curl -X GET "https://api.pulsebit.io/news_stats?days=90&topic=finance&format=json" \
  -H "X-RapidAPI-Key: YOUR_API_KEY" \
  -o backtest_data.json

# Parse with jq for time series analysis
cat backtest_data.json | jq '.daily_stats[] | {date, sentiment_avg, article_count}'

COMMON USE CASES