This is the Linux app named INVESTOCK - Analyze Indian shares whose latest release can be downloaded as INVESTOCK.zip. It can be run online in the free hosting provider OnWorks for workstations.
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INVESTOCK - Analyze Indian shares
DESCRIPTION
Analyze, winning percentage, back test and estimate the maximum rate of return from the historical prices of an equity stock listed in NSE, India between any two selected dates for more than 20 years.
INVESTOCK program is used to get the historical prices of an Indian share listed in National Stock Exchange( NSE), India between any two selected dates.
All the shares listed in National Stock Exchange (NSE), India can be analyzed.
Interactive graphs will be displayed for the analyzed data and it can be downloaded in any desired formats.
Predict the winning percentage of an equity.
All the analyzed data can be saved in .CSV file format for further analysis.
Maximum Profit & Loss of an equity can be estimated between the selected dates.
Designed by Dr. M Kanagasabapathy
Coded in Python
Project Homepage: https://www.enote.page/
Twitter handle: @nifty_analyst
This is the basic version and for advanced options & analyses, please write to me.
Features
- Analyse, back test and estimate the maximum rate of return from the historical prices of an equity stock listed in NSE, India between any two selected dates.
- Predict the winning percentage of an equity.
- Get the historical prices of an Indian share listed in National Stock Exchange (NSE), India between any two selected dates.
- Interactive graphs will be displayed for the analyzed data and it can be downloaded in any desired formats.
- Free for non-commercial uses.
- Analyzed date can be saved as .csv file format for further analysis.
- 20 + years data (if available) can be fetched.
- Write to me for codes and in-depth stock data analyses.
- Please enter the NSE stock symbol.
User interface
Win32 (MS Windows)
Programming Language
Python
Database Environment
Python Database API
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/investock/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
