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Stock Technical Analysis with Python Streamlit and AGgrid
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Complete guide to perform stock tech analysis code and develop a dashboard with Streamlit and Python.
This will help in creating custom dashboard and you can do your own technical analysis on regular basis and take a decision to trade the stock.
Explained live example with simple coding technique and it can be developed with simple few lines of code in Python, Streamlit and AGgrid.
Steps -
Import libraries - Streamlit, Pandas, NSEtools, NSEPY, AGgrid
Get the data from methods and convert to dataframe
Add streamlit slider, columns, multiple tabs
Add dataframe data to Streamlit components
Load the data into AGgrid
#pyhton
#streamlit
#grid
#stockmarket
#candlestickpattern
#candlestick
#pythonprogramming
#jscode
#stockmarket
#nse
#nseindia
#nseindex
#dashboard
This will help in creating custom dashboard and you can do your own technical analysis on regular basis and take a decision to trade the stock.
Explained live example with simple coding technique and it can be developed with simple few lines of code in Python, Streamlit and AGgrid.
Steps -
Import libraries - Streamlit, Pandas, NSEtools, NSEPY, AGgrid
Get the data from methods and convert to dataframe
Add streamlit slider, columns, multiple tabs
Add dataframe data to Streamlit components
Load the data into AGgrid
#pyhton
#streamlit
#grid
#stockmarket
#candlestickpattern
#candlestick
#pythonprogramming
#jscode
#stockmarket
#nse
#nseindia
#nseindex
#dashboard
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