Machine Learning Stock Prediction Using Random Forest Regressor

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#Programming #pythonprogramming #machinelearning
Machine Learning Stock Prediction Using Random Forest Regressor:
Predict the future price of a stock.

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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Комментарии

At the beginning of each trading day, only Open price is known. The features High, Low and Volume are not yet known, and hence, using them as features is not possible to predict the Close price of the day.

RasoulMojtahedzadeh

You entroduced lookahead biais in your model training using high, low and volume as it is unknown at the open time of the candle. What you could do is shift your Close column for your y variable, to try predicting the next canddle close price

DeejayGabin

No train test split. This is the equivalent of giving the model the answer sheet to the test so you don’t get an accurate picture of model performance

vloggetts

The y value should be different from the current open, low, high and volume information row. Should we use other data, rather than open, low, high and volume to predict the future stock price ?

guicraw

Bogus Exercise. Feature already are part of future data thus making prediction using them makes no sense.

thevaibhavkaushal

You are using the High and Low of the hour, but you will only know this information once the hour is finished. These two features dont make sense. Thanks anyways for the video.

thebiggerpicture__

Excellent. Could you make a video on Portfolio Optimization using Black Litterman Model?

aarondelarosa

How would you make a graph based on this? Thank you

ACSMusicSounds

Why would the model predict 263 only, if the last couple of days are already > 270, values which are included into the prediction of only 263 and not 270-280?

christopherheuser

I am working on a similar project on colab but I cannot import sklearn ensemble RandomForestEnsemble..please help me

Alberto-tvrg

Man I'm working on a trading bot. How much for your help?

heresmypersonalopinion

Argh. I get anFileNotFoundError at the line -- df = pd.read_csv('stock_data.csv')

ph

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