Learn Stock Marketing by digital agencies Bangalore

Overview Stock Marketing

Now again this isn't with percent certainty so don't go bang all your money on this but like I said with a percent accuracy you can expect to be correct more often than you're wrong so, in the long run, you should make money anyway. But what we're really aiming for here is to measure how accurate our model is. Now what digital agencies Bangalore need to do to measure the actual accuracy is fed a bunch of expected values and then compare them to what values our model is outputting and see how many of those our models got.

In my case, I'm not too interested in getting these numbers. Exactly. All they really care about is if our model predicts that these values are nice if they actually are. Then I'll call that a win in digital agencies Bangalore book swearers if our model thinks that these are negative. Now we actually got a pulse of value or vice versa. Well, we're going to call that a loss and that will be not contributing to the actual accuracy. So in order to test these because I don't want to test the case by case, I'm just going to build a quick function up top and this is just going to be under the where is it underneath all calculate price differences function.

Stock Marketing Tips

So socmen I'm going to call this something like calculates out to late accuracy. OK. And this function is going to take in two parameters. The first is going to be the expected values and the second is going to be the actual values so we can say expected values. And then the actual values. It doesn't really matter the order in which we empathies skinning of L cells a couple of spaces and basically, we're just going to loop through digital marketing agency in India compare them and keep a tally of how many were correct. So I'm going to create this variable called income. Correct.

So number correct guest is going to set that to zero. And then we're just going to add one for each correct guess. OK. Now, this is going to be Lysle get intrusive but I found this actually gives us the correct accuracy metric doing things this way. So we don't see loops through and I'm going to say for a while accuracy in the range from the length of either the expected or the actual values they should be about the same length I'm just going to go with digital agencies Bangalore actual values arbitrarily. So for each of the items in these arrays we go and say the actual values and how the brackets are. So if the actual values are a school are less than zero.

Session 1

And we are also going to say less then our predicted values or expected values are either a school I. OK. Well, in this case, we're going to add to our number. Correct. And then we're going to do the Vice versa if the actual value is greater than zero and expects values less than zero. So we'll go with an L. If you're just going to copy this Peyster right and we'll do a greater than and greater than OK. And in this case, we're going to say I'm correct again plus equals. So when either of these cases we just added to the total counts. OK. At the very end, we want to return how many we got correct so we're just going to return correctly.

Session 2

And we're going to divide by the total number of elements that we're dealing with. So the length of either the actual values or the expected values it doesn't matter. Now we want a percentage. So we're just going to times this by and this will give us the percents of correct guesses Iowa model has made based on the values that we feed in. Now, this is going to be very easy for us to pass values into because we have some testing data sets already set up for digital agencies Bangalore so we have the test volumes.

Session 3

We have the test price differences and what we can do is to seed it in the test volumes to our model get the models outputs those will be the actual values and then the expected price differences or the expected value is Anga and speed these test price differences here. So if we've run our session now and we are not just feeding in these random values anymore to really care about these I'm going to again just call our session run this time. I'm going to run. How will why this time instead of policy in just a few values but you going to pass in all of those test values so we're going to go run why Paulson's the dictionary will only need the x inputs okay for this case? I'm going to feed in our test volumes sit-ups test volumes. All right. And I'm going to store the results in some variable.

Let's call this something like our results that's fine. So now we want to test the actual accuracy so I'm going to say accuracy is going to be equal to calculate the accuracy of the expected results of the expected ones is going to be the test price differences. OK. And the results are going to be the actual values that we get and then I want to just print out this accuracy in some kind of a print statement. So I'm going to say accuracy or model. And then we're going to add digital agencies Bangalore in the print format statement. So this is going to be through the code on point to ask this will specify floats with two decimal places. And I'm just going to add the percent there and then I want to call upon the format function and then we can just Palsson accuracy right there.

So now if I were to zoom out of this quicksaved and then we can go ahead and actually run this. We should get the final accuracy of the model being printed out. We do indeed as we can see down here we are about percent. OK. So that's kind of what we would expect. That's kind of what I got when I was testing this myself. Like when I built it first and this percent accuracy is going to differ a little bit based on which Stockdale's you are using as well as what time you are when you're actually guessing that data from. OK. So with that being said we now know how to measure the accuracy of the model we know how to print how individual values we can actually do this way just by printing out results instead of carefully calculating the accuracy.

So all that's left to do is test this on a few more stocks. Now I actually have given you access to a few of the stock sheets in your resources folder so you can use those. All you can go online to investing dot com is the Web site we used to use to get these CSP sheets anyway. So you can get the data from that. Just make sure that your training and testate sets if you're not going to use the ones I've provided are a little different. And I'll just do you know as digital agencies Bangalore quick bonus wrap up the section you know right after this and I'll show you how to input those extra Stork's species as well as how to test them out and what kind of results we can expect.