Crypto News & Sentiment

Target Audience

• Crypto Enthusiasts: Individuals interested in the latest trends and news in the cryptocurrency market.
• Traders and Investors: Those seeking timely information to make informed trading or investment decisions.
• Developers: Programmers looking to integrate automated news analysis into their applications or bots.
• Researchers: Academics or analysts studying market sentiment and news impact on cryptocurrencies.
• Telegram Users: People who prefer receiving updates and insights via Telegram for convenience and immediacy.

Problem Solved

This workflow addresses the challenge of staying updated with the rapidly changing cryptocurrency landscape. It automates the process of gathering news from various reputable sources, filtering it based on user-defined queries, and providing a concise summary along with sentiment analysis. This ensures that users receive relevant information quickly without having to manually sift through numerous articles.

Workflow Steps

1. Trigger: The workflow is initiated when a user sends a message to the Telegram bot, requesting information about a specific cryptocurrency or company.
2. Session Management: The bot captures the user's session ID to maintain context throughout the conversation.
3. Query Setup: The user’s request is processed, and a query is generated based on the input.
4. RSS Feed Reading: Multiple RSS feeds from prominent crypto news sources are read to gather the latest articles.
5. Article Merging: All articles from the different sources are merged into a single dataset for easier processing.
6. Filtering: The merged articles are filtered based on the user's query to ensure relevance.
7. Prompt Building: A structured prompt is created to summarize the filtered articles and analyze market sentiment.
8. AI Analysis: The OpenAI model (GPT-4o) processes the prompt to generate a summary and sentiment analysis.
9. Message Preparation: The final summary is formatted for delivery via Telegram.
10. Response Sending: The bot sends the summarized news and sentiment analysis back to the user in the Telegram chat.