Okay, so, I’ve been messing around with this “Lin Zhu Prediction” thing, and let me tell you, it’s been a ride. First off, I started by digging around to see what this whole thing was even about. I stumbled upon some stuff talking about stock markets and how people try to predict them, especially in places like the US and China. It seemed like a big deal, with people throwing around terms like “out-of-sample” and “post-publication return predictability”. Whatever that means, right?
I also found out that there are a bunch of ways people try to predict stuff like this. You got your expert opinions, your fancy design methods, and something called “morphological analysis” – sounds like something out of a sci-fi movie. And of course, good old machine learning and neural networks are in the mix. I mean, everyone’s using those these days, aren’t they?
So, I started trying some of these methods out. I mean, I’m no expert, but I figured I could give it a shot. I played around with some basic predictive models, like, you know, just trying to guess what’s gonna happen based on what happened before. It was like trying to predict the weather, but with numbers. Sometimes I felt like I was getting somewhere, and other times it was just a total mess.
Then I thought, maybe I should try something a bit more advanced. So, I dived into neural networks. Let me tell you, those things are complicated! I spent hours just trying to figure out how to set them up. It was like learning a whole new language. But eventually, I got something working. It wasn’t perfect, but it was something. I fed it a bunch of data about stock prices, and it started spitting out predictions. Most of the time, it was way off, but hey, I’m not sure about this stuff, and I only tried a little bit.
Here’s what I tried, in a nutshell:
- Looked at some research papers to get an idea of what this whole thing is about.
- Tried some basic prediction methods, just for kicks.
- Attempted to build a neural network, which was a whole adventure in itself.
- Fed the neural network some data and prayed for the best.
In the end, did I come up with a foolproof way to predict the stock market using “Lin Zhu Prediction”? Nope. Not even close. But did I learn a few things along the way? Definitely. I mean, I now know what a neural network is, sort of, and I have a newfound appreciation for people who actually know what they’re doing in this field. It’s tough stuff! But hey, it was a fun experiment, and who knows, maybe one day I’ll give it another shot. But for now, I think I’ll stick to simpler things. Maybe I’ll try predicting the weather instead – at least I have a better chance of getting that right!
