Mango
CT

StockFlow

A Discord server dedicated to financial data monitoring and analysis. StockFlow scans market data in real-time to provide insights and facilitate informed financial discussions within our community. More to come soon!

StockFlow Dashboard
Market Analysis
Trading Insights
Trading Insights
Trading Insights
Trading Insights
Trading Insights
Trading Insights
Trading Insights

Tech Stack

  • • Backend: Go, Python
  • • Frontend: HTML, React, Typescript
  • • Discord packages
  • • A lot of financial APIs, monitors and scrapers

AI Integration

  • • Using AI to explain what the insights mean to a newbie.
  • • AI also pulls and generates news sentiment.

⚠️ Thinking Process

I thought that some challenges I would face was having to learn Go while building this and also working on my Python license; however, it actually helped me reverse engineer APIs and improve data handling with live streaming and time series data.

Development Process

The development focuses on creating efficient data pipelines and meaningful visualizations to help users understand market trends and movements... I created a congress member trading tracker with a dashboard for monitor health and status checks. Slash commands for stock ticker lookups, which chart candlesticks on demand. In addition to a news feed for adminstered events, tickers, political members, companies...

Core Features

  • Real-time market data scanning and monitoring
  • AI-powered market insights and trend analysis
  • Custom alerts for significant market movements
  • Community-driven discussion channels
  • More monitors and trackers to come!!
  • Future Development

    Currently working on expanding a Congress Member Tracker with trade lookups and notifications, as well as more valuable features! Also working on integrating AI capabilities and adding more sophisticated data visualization tools. The goal is to make financial data more accessible and understandable for everyone in the community.

    Disclaimer

    This is an experimental project for educational purposes. All financial data and insights should not be considered as investment advice. Always do your own research before making investment decisions.

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