How to Detect Governance Sentiment Shifts with the Pulsebit API (Python)

In the fast-paced world of finance and governance, staying ahead of sentiment shifts can be a game changer. But manually scraping for sentiment data can be a tedious and error-prone task. That's where the Pulsebit API comes in, offering a streamlined solution to get governance sentiment insights with minimal effort.

The Problem (DIY scraping pain)

Collecting sentiment data manually often involves scraping multiple websites, parsing through unstructured data, and keeping up with changes in site layouts. It’s not just time-consuming; it can also lead to unreliable results due to the inconsistencies in how sentiment is expressed across platforms. You could spend hours coding a scraper only to find that your data is stale or inaccurate.

The Solution (Pulsebit API — one endpoint)

Pulsebit provides a single endpoint (/news_semantic) that allows you to access sentiment data without the hassle of scraping. This API can deliver insights on governance sentiment directly, letting you focus on analysis rather than data collection. With a simple GET request, you can pull the latest sentiment metrics, including confidence levels and momentum indicators.

The Code (Python GET /news_semantic with code blocks)

To get started, you'll need to install the requests library if you haven't already:

pip install requests

Here's how you can make a GET request to the Pulsebit API:

import requests

def get_governance_sentiment(api_key):
    url = "https://api.pulsebit.co/news_semantic"
    headers = {
        "Authorization": f"Bearer {api_key}",
        "Content-Type": "application/json"
    }

    response = requests.get(url, headers=headers)

    if response.status_code == 200:
        return response.json()
    else:
        raise Exception(f"Error: {response.status_code} - {response.text}")

api_key = "YOUR_API_KEY"
data = get_governance_sentiment(api_key)
print(data)

Make sure to replace YOUR_API_KEY with your actual API key from Pulsebit.

Reading the Response

The response from the API will look something like this:

{
    "governance_sentiment": 0.00,
    "momentum": 0.60,
    "clusters": 0,
    "confidence": 0.87
}

Breakdown of Each Field:

• governance_sentiment: This value indicates the current sentiment score, which in this case is 0.00. A positive score signifies a bullish sentiment, while a negative score indicates bearish sentiment. Zero suggests a neutral stance.

• momentum: Here, the momentum is 0.60, indicating a strong upward trend in sentiment. This can be a crucial factor for decision-making.

• clusters: The value of 0 suggests that there are no distinct sentiment clusters detected in the current data. This could mean a lack of diverse opinions or conflicting sentiments.

• confidence: With a confidence level of 0.87, you can be reasonably assured that the sentiment data reflects a reliable analysis.

Three Use Cases

1. Algo Alert: Integrate this API into your trading algorithm to trigger alerts when significant sentiment shifts occur. By monitoring the momentum value, you can programmatically decide when to enter or exit positions based on sentiment analysis.

2. Slack Bot: Create a simple Slack bot that sends daily updates on governance sentiment. Use the API to fetch the latest data and push messages to your team, keeping everyone informed without manual checks.

3. Dashboard: Build a personal dashboard that visualizes governance sentiment over time. Use libraries like Dash or Streamlit to display the sentiment score, confidence, and momentum in real-time.

Get Started

To dive deeper into the Pulsebit API, check out their official documentation at pulsebit.co/docs. You’ll find detailed information on endpoints, authentication, and more use cases.

By leveraging the Pulsebit API, you can streamline your sentiment analysis process and make more informed decisions without the headache of DIY scraping. Happy coding!