Trading Signals Platform

Overview

Comprehensive automated trading signal scraper system that aggregates financial data from multiple sources including TradingView, SignalStart, and Tipstrr. The system also monitors NFT drops and distributes content via Webflow CMS and Telegram bots.

Objectives

• ▸ Real-time trading signal monitoring across multiple asset classes
• ▸ NFT drop calendar aggregation and whitelist tracking
• ▸ Sports betting tip aggregation from multiple platforms
• ▸ Automated content publishing to Webflow CMS
• ▸ Telegram bot notifications for signal delivery

Architecture

Python-based scraping system with modular design per signal source. Uses SQLAlchemy ORM for database operations, BeautifulSoup4 and Selenium for web scraping, and Webflow API for content publishing. SQLite for local caching, MySQL for remote production database.

Key Features

• ▸ TradingView signal scraping with performance tracking
• ▸ SignalStart aggregation for forex, gold, US30, Nasdaq
• ▸ NFT drop calendar monitoring with social media tracking
• ▸ Tipstrr sports betting tips scraping
• ▸ Webflow CMS automated content publishing
• ▸ Telegram bot integration for user notifications
• ▸ Data deduplication with history-based tracking

Challenges

• ▸ Managing multiple scraping sources with different structures
• ▸ API rate limiting and respectful scraping practices
• ▸ Data deduplication across multiple platforms

Outcomes

• ▸ Automated data aggregation saving 40-60 hours weekly
• ▸ Multi-platform signal distribution system
• ▸ Modular scraper architecture for easy expansion