Akshat111111 / Hedging-of-Financial-Derivatives

This strategy works for every market condition irrespective of the movement
BSD 3-Clause "New" or "Revised" License
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💡[FEATURE]: Walmart stock Price Prediction Using LSTM, SGD And Random Forest #331

Closed vivekvardhan2810 closed 4 months ago

vivekvardhan2810 commented 5 months ago

Is your feature request related to a problem? Please describe.

Yes, The art of forecasting stock prices has been a difficult task for many of the researchers and analysts. Investors eagerly seek effective stock price prediction systems to guide successful investments and understand future market trends.

Describe the solution you'd like

I Aim to develop a machine learning model using historical stock price data and relevant financial indicators, preprocess the data, performing EDA, predicting the Stock Price, Analyzing the High and low stocks over a period of time.

Describe alternatives you've considered For this Solution I would like to Add the ML Models which i am gonna build like using LSTM, RNN, Random Forest, and SGD (Stochastic Gradient Derivative).

Additional context

No response

vivekvardhan2810 commented 5 months ago

@Akshat111111, Please Assign me this Issue GSSOC'24 label and the appropriate level, as i have done the projects based on stock prices.

Akshat111111 commented 4 months ago

There is a lot already done with the netflix stock, so kindly change the title and do walmart stock analysis

vivekvardhan2810 commented 4 months ago

Okay @Akshat111111, will change and do it.

Akshat111111 commented 4 months ago

And put your walmart stock analysis folder inside NYSE

vivekvardhan2810 commented 4 months ago

Okay, @Akshat111111

Sir, can i use the kaggle dataset

Akshat111111 commented 4 months ago

yes, but dont forget to add it in reference