Stock Market Prediction Part 1

The project we're going to be building today is going to be a very very simple stock market prediction model that we'll be able to predict whether the price of the stock will go up or down the next morning based on the amount of volume exchange for a given day. Now ultimately there are a ton of different factors that go into predicting stock prices. And so this is really a difficult task to accomplish even the best models by digital marketing companies in Delhi NCR out there can only get about percent accuracy. Honestly, I find that even hard to believe sometimes as there could be any kind of global events that completely affects how the stock prices fluctuate as such would going to be building just something really simple here is only taking the volume exchanged for particular day into account.

 

And it's only really going to be used for day trading so that's going to be choosing whether or not to buy at the end of the day and then sell at the beginning of the next day. This isn't going to be a seo company in India for long term prediction as well because this is just a really basic intro. I'm not going to be building anything too complex with like a big neural network or anything like that's taking in thousands and thousands of data points in hours to train which is going to be building a basic model for users to then expand upon. And my main goal here is to show you how to go through building attends a floating project by digital marketing companies in Delhi NCR and how you'd get started approaching a task as big as this.

 

Stock Market Prediction Part 2

So I guess what I'm trying to say is don't take this and then get all of your money using this particular model of digital marketing companies in Delhi NCR because it's not going to be percent accurate and there's no guarantee that you will make a ton of money off of this. But what this will provide is a nice base for you to then expand upon and teach you the basics of building up a supply project in Python and Python. So without further ado let's go ahead and get salsa by creating a new project. If you're using a different ID I would recommend you switch to Python. Although you can work around that. Just make sure that you had the latest version downloaded as well as a licensed version of Python as well.

 

I think I'm using. at this point. OK, so we're going to go ahead and create a new project for digital marketing companies in Delhi NCR to choose a safe location for this. In my case, the desktop is actually OK but I'm just going to browse to a different location just create a new folder here. It's called The stock market's prediction. And to make sure that you're saving a project in a separate sold off its own. OK. So with that done we'll click Create and we should be good to go there. All right. So as this project loads I just want to mention we're going to be taking all of the previous stock data from one site that's going to be investing dot com.

 

I'll show you where to access that site by digital marketing companies in Delhi NCR and how to access the dates that we're going to want but I've included a bunch of CSP sheets I think eight in total that is going to be used to train and test our model for four different stocks. Those are included in your resources folder. Again I'll show you exactly where to access those. But if you don't want to go to the site directly and download the latest sheets that's absolutely fine. Like I said I've provided some resources for you anyway and I'm going to show you how to do everything step by step.

 

So we're just going to go ahead and get started here. With me providing a brief overview as to the steps we're going to take to build this project from start to finish as well as generally the how we're going to base our predictions and just how we're going to construct this model. Okay. So thanks again to digital marketing companies in Delhi NCR for showing your support by watching these tutorials we do really appreciate it. At least I certainly do. And I hope that you can learn a lot or at least a little bit from the tutorial about how to build up an of road projects and how to build a stock market prediction model in particular. All right see you in this Overview section.