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The aim of this project is to help stocktraders determine suitable stock to enter by helping them keep track of its daily volatility and returns. The user selects a particular stock option which is automatically gotten from an API and stored in a sqlite database. using Garch(1,1) model to forecast volatility. fastapi and dash is used for deployment

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flexx3/Stock_Analytics_Forecast_app

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assets

assets

 
 

.env

.env

 
 

1 Getting Data From APIs.ipynb

1 Getting Data From APIs.ipynb

 
 

2 Test Driven Development.ipynb

2 Test Driven Development.ipynb

 
 

3 Predicting stock volatility using Garch(1,1).ipynb

3 Predicting stock volatility using Garch(1,1).ipynb

 
 

4_Model_Deployment_using_FastAPI.py

4_Model_Deployment_using_FastAPI.py

 
 

Deployment_using_Dash.py

Deployment_using_Dash.py

 
 

data.py

data.py

 
 

main.py

main.py

 
 

model.py

model.py

 
 

requirements.txt

requirements.txt

 
 

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The aim of this project is to help stocktraders determine suitable stock to enter by helping them keep track of its daily volatility and returns. The user selects a particular stock option which is automatically gotten from an API and stored in a sqlite database. using Garch(1,1) model to forecast volatility. fastapi and dash is used for deployment

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sqlite-database pandas plotly-dash garch-models fastapi
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