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The technical assignment aims to forecast stock prices by sourcing data, processing it, implementing various forecasting models (including one multivariate model), and generating baseline and adverse scenarios.

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Rudhrathota/Forecasting-Stock-Price

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3_models.ipynb
3_models.ipynb
 
 
ARIAM_MODEL_testing_code.ipynb
ARIAM_MODEL_testing_code.ipynb
 
 
Code_structure.ipynb
Code_structure.ipynb
 
 
Compare_Model (2).ipynb
Compare_Model (2).ipynb
 
 
Data aggregation (1).ipynb
Data aggregation (1).ipynb
 
 
LSTM_Code.ipynb
LSTM_Code.ipynb
 
 
Prophet Model_code_extra.ipynb
Prophet Model_code_extra.ipynb
 
 
README.md
README.md
 
 
Technical_Assignment.ipynb
Technical_Assignment.ipynb
 
 
Technical_Assignment_Rudhra_Kumar.ipynb
Technical_Assignment_Rudhra_Kumar.ipynb
 
 
Technical_data_analysis.ipynb
Technical_data_analysis.ipynb
 
 
XGBoost_Codes.ipynb
XGBoost_Codes.ipynb
 
 
code_1.ipynb
code_1.ipynb
 
 
code_2.ipynb
code_2.ipynb
 
 
preprocessing_code (1).ipynb
preprocessing_code (1).ipynb
 
 
v1 (5).ipynb
v1 (5).ipynb
 
 

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Forecasting-Stock-Price

The technical assignment aims to forecast stock prices by sourcing data, processing it, implementing various forecasting models (including one multivariate model), and generating baseline and adverse scenarios.

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The technical assignment aims to forecast stock prices by sourcing data, processing it, implementing various forecasting models (including one multivariate model), and generating baseline and adverse scenarios.

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