Automate Stocks and Crypto Research with Python and Deep Learning - Full Python Project

This project-based course shows how to use Python and Hugging Face Transformers to scrape stock and cryptocurrency news, summarize articles with a pretrained PEGASUS model, calculate sentiment, and export results to CSV. It also demonstrates converting the pipeline into a script and running it for different assets.

Syllabus

- Start
- Explainer
- Install and Import Baseline Dependencies
- Setup Summarization Model
- Auto Summarize a Single Article
- Scrape a Single Article from Yahoo Finance
- Cleaning Scraped Data using Text Processing
- Summarize a Single Article using Hugging Face Transformers
- Building a News and Sentiment Pipeline for TSLA, BTC and GME
- Search for Stock News URLs using Google and Yahoo Finance
- Process and strip out unwanted URLs
- Scrape Cleaned Financial News Articles
- Summarize the News Pipeline
- Calculate Sentiment
- Export Results to CSV
- Running the Pipeline as a Script
- Running the Pipeline for Different Stocks and Cryptocurrencies