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...The terminal allows for users to import their own proprietary datasets to use on our econometric menu. In addition, users are allowed to export any type of data to any type of format whether that is raw data in Excel or an image in PNG. This is ideal for finance content creation. Create notebook templates (through papermill) which can be run on different tickers. This level of automation allows to speed up the development of your investment thesis and reduce human error.

...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.

Trading system written in Python including Quotes Management, Historical and live data, Import/Export data, Charting, Candlestick, Technical analysis, automated alerts, portfolio management, risk management, currency exchange, and much much more ...