Use Artificial Intelligence (AI) to Predict the Stock Market with Python

#Programming #Python
How I used AI & XGBoost to predict the stock market

Disclaimer: The material in this video is purely for educational purposes and should not be taken as professional investment advice. Invest at your own discretion.
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[leandrogoethals]

How the flow of a forwardtest such prediction is:
Step 1: Download the csv till current date
Step 2: Delete the last 20% of the timestamps of the csv so if it's like data of 2000 till 2023 then cut till 2019 and save this as training_SP500.csv
Step 3: Do the opposite of step 2 wich u cut the first 80% off and save it as future_Sp500.csv
Step 4: train only on the data of training_SP500.csv
Step 5: u test the the prediction for the missing 20% of the current data
Step 6: on same chart plot the original data of the current s&p500 data

And Voila a chart wich u can clearly see is those prediction where in the right direction!!

Nice vid, good education

[joao_paiva]

This type of algo is usefull just to predict the next time event. You have 70% accuracy but you are predicting just the next day price based in the last day price multiple times

[Mr._Cousin]

should it be more reasonable to use the price the day before to predict the price next day in train and testing?

[pohu]

Use Your prediction and check the return %, the results is very very poor. The prediction is basically noise with baseline of open price. You can just plot open price vs close price, the are similar to your prediction.

[GoodManVlogs]

Are you sure that it is not learning from the high and low prices of the current day that has not yet closed? How to make sure?

[yourbestlifebrandi]

Where or how did you produce the input file for historical data? Where can it be obtained?

[kaushikmetha]

This works only for one stock. Is there any way to design a neural network model that can be used to predict stock price of more than one stock?

[hamzazakaria]

i keep getting an error at the "model.score" it says model is not defined

[JCCreatorStudio]

im new to ML, the final plot only show some orange line near the end, what does it mean and where are the rest?

[codeline]

actually thats almost useless prediction coz we know volume when only when close is known

[Aether_]

Hope you had tutorial for deployment of this and for real time price to predit.

[ncielkrommalzeme]

way of Telling the program is brief . how can we get the csv files for example like yours SPY.csv

[Talangenz]

How do I, predict more, like not only the test set for example 3 years forward

[rverm]

typo? train_data= data.iloc[:int(.99 * len(data)), :]
test_data= data.iloc[int(.99 * len(data)):, :] data 1%
i also get a xgboost error. probably has something to do with the shape of the train and test data not matching

[IkaroSampaioDj]

Stopped this video when he included 99% of the data in the train_data. Makes no sense

[dansimon]

Hey, nice, can you do a tutorial for optimal execution on python using almgren kriss?

[shilpabaranwal]

Nice Video but not useful for real time prediction, volume information will not be available beforehand

[vladvol]

Very interesting! But, how could it be used in algotrading?

[useradav]

I followed you step by step, but my historical chart is a downtrend for some reason.

[antonyhartley]

shame there's no code (just pitching for sign-up), I'll just type it in:)