Wow, thanks for all the insights, everyone! This is exactly the kind of discussion I was hoping for.
I’ve been playing around with QuantConnect and Kaggle, and it’s been a steep learning curve, but super rewarding. The idea of using ensemble methods to avoid overfitting is something I hadn’t considered, so I’ll def look into that.
Also, shoutout to the person who mentioned sentiment analysis tools—Sentieo looks like a game-changer.
One follow-up question: how do you guys handle the ethical side of dataset quant stocks? Like, is there a risk of these models being too invasive with the data they use?
Thanks again, y’all! This has been super helpful.
I’ve been playing around with QuantConnect and Kaggle, and it’s been a steep learning curve, but super rewarding. The idea of using ensemble methods to avoid overfitting is something I hadn’t considered, so I’ll def look into that.
Also, shoutout to the person who mentioned sentiment analysis tools—Sentieo looks like a game-changer.
One follow-up question: how do you guys handle the ethical side of dataset quant stocks? Like, is there a risk of these models being too invasive with the data they use?
Thanks again, y’all! This has been super helpful.