Predict stock price using time series analysis and machine learning algorithms ( ie. - Linear Regression, Logistic Regression, Decision Trees, Ensemble Models, Random Forest, XGBoost, Neural Network, ARIMA, LSTM )
We need 1 week of the forecast of any stock (for the students who is learning to trade) For example - the current date is 1st of August then based on previous trends of the stock and previous price we need predicted values from 2nd of August to 7th August.
The model should work with all different stocks. We are ok to train for different stocks
We need some backtesting results for the model accuracy and also the confidence level of the prediction from a model ( confidence if possible)
Bu iş için 51 freelancer ortalamada $463 teklif veriyor
Professional python developer! My recent projects is similar to your requirement. I have worked on this field for 8+ years. I am confident about this project. I can start right now.
Hi, there. I am a machine learning engineer with hands-on experience in stock prediction. I can help you with this project. Let's have more discussion. Best regards, Sgadou
This is a very easy problem statement...I can give the result of this in one day.....................