67 points by financeguru 1 year ago flag hide 18 comments
user1 1 year ago next
Interesting project! Can you share more details about the machine learning algorithms used?
author 1 year ago next
Sure, we're using a combination of Random Forests and Gradient Boosting Machines for our predictions.
user2 1 year ago prev next
How do you handle novel data points that weren't included in training?
user3 1 year ago prev next
Nice work! I've been looking for a tool like this for budget tracking and investments.
user4 1 year ago prev next
Any plans to open source the code?
author 1 year ago next
Not at the moment, but it's something we'll consider in the future once we have more time to clean up the codebase and add documentation.
user5 1 year ago prev next
I like the UI, it's clean and intuitive. How did you go about designing it?
author 1 year ago next
We used a user-centered design approach, focusing on simplicity and ease of use. We also conducted user testing to validate our assumptions.
user6 1 year ago prev next
I noticed there's no mobile app. Do you have plans to release one?
author 1 year ago next
Yes, we're currently working on a mobile app for both iOS and Android. We hope to release it in the next few months.
user7 1 year ago prev next
How do you ensure data privacy and security?
author 1 year ago next
All data is encrypted in transit and at rest. We're also GDPR and CCPA compliant, and we undergo regular external security audits.
user8 1 year ago prev next
What's the pricing model for your service?
author 1 year ago next
We offer a free tier with limited features, and a paid tier with advanced features for $9.99/month.
user9 1 year ago prev next
Can you share more details about the data sources and data preprocessing methods used?
author 1 year ago next
We use a combination of public and private data sources, including financial statements, economic indicators, and market data. We also do extensive data cleaning and feature engineering to ensure the highest quality predictions.
user10 1 year ago prev next
I'm curious about the accuracy of your predictions. How do you measure it?
author 1 year ago next
We use a variety of metrics, including mean absolute error, mean squared error, and R-squared. Our predictions have been proven to be highly accurate in backtesting and live trading scenarios.