Yahoo Finance Sentiment Analysis Using yahoo_fin Library

Step 1: Install Required Libraries

First, install the yahoo_fin and TextBlob libraries using pip:

pip install yahoo_fin textblob

Step 2: Sample Python Code

This script uses yahoo_fin to fetch the latest news articles for a given stock ticker symbol, then uses TextBlob to analyze the sentiment of these news articles.

from yahoo_fin import stock_info as si
from yahoo_fin import news as nf
from textblob import TextBlob
import pandas as pd

# Define the stock ticker symbol
ticker = "AAPL"  # Example: Apple Inc.

# Fetch latest news articles for the stock
news = nf.get_yf_rss(ticker)

# Extract news titles and links
news_data = []
for article in news:
    news_data.append({
        "title": article["title"],
        "link": article["link"],
    })

# Convert news data to a DataFrame
news_df = pd.DataFrame(news_data)

# Function to analyze sentiment
def analyze_sentiment(text):
    blob = TextBlob(text)
    return blob.sentiment.polarity

# Apply sentiment analysis to news titles
news_df['sentiment'] = news_df['title'].apply(analyze_sentiment)

# Display news with sentiment scores
print(news_df)

# Calculate the average sentiment
average_sentiment = news_df['sentiment'].mean()
print(f"\nAverage Sentiment for {ticker}: {average_sentiment:.2f}")

How the Code Works:

• Fetching News Data: nf.get_yf_rss(ticker) fetches the latest news articles for the specified ticker from Yahoo Finance.
• Sentiment Analysis: The script uses TextBlob to analyze the sentiment of each news title. TextBlob(text).sentiment.polarity returns a sentiment polarity score ranging from -1 (very negative) to 1 (very positive).
• Output: The script prints each news title with its corresponding sentiment score and calculates the average sentiment score for the news articles fetched.

Notes:

• Limitations: The sentiment analysis here is basic. For more sophisticated analysis, consider using NLP tools like VADER or machine learning models.
• News Coverage: News articles fetched are from Yahoo Finance’s RSS feed and may not cover all sentiment-driving news.
• Sentiment Accuracy: Sentiment analysis using simple tools like TextBlob may not be very accurate for financial news. More advanced models trained specifically on financial text data might provide better results.

This script provides a good starting point for building a sentiment analysis tool based on news data fetched from Yahoo Finance using the unofficial yahoo_fin API.