Ashu13b

Ashu13b's Stars

• marketcalls/openchart

  OpenChart is a Python library for downloading intraday and EOD (End of Day) historical data from the NSE (National Stock Exchange of India) and NFO (NSE Futures and Options) exchanges

  Language:Python108

• nickdesaulniers/profitnloss

  A library to calculate and plot the profit and loss diagrams of stock options strategies.

  Language:Python4514

• AndroidIDEOfficial/AndroidIDE

  AndroidIDE is an IDE for Android to develop full featured Android apps.

  Language:Java2.3k293

• sreenivasdoosa/sdoosa-algo-trade-python

  Algo trade project in python

  Language:Python519319

• jugaad-py/jugaad-data

  Download live and historical data for Indian stock market

  Language:Python371147

• PrajwalShenoy/backtest

  Repository to perform backtest on CSV datasets of indian indexes

  Language:Python82

• maanavshah/stock-market-india

  API for Indian Stock Market's NSE and BSE.

  Language:JavaScript874379

• stefanomorni/fork-tvdatafeed

  A simple TradingView historical Data Downloader

  Language:Jupyter Notebook1121

• rongardF/tvdatafeed

  A simple TradingView historical Data Downloader

  Language:Jupyter Notebook267146

• sumitsainidev/OIAnalysis

  NSE Nifty Derivatives OI analysis using Python and Excel.

  Language:Python3626

• VarunDivakar/NSEpy-Continuous-data

  Pulls the continuous Futures and Options Data using NSEpy

  Language:Python2116

• beinghorizontal/BhavFnO

  Analyze FnO trends by using NSE Bhav copy

  Language:Python3821

• gadiyar/NSEBhavcopy

  NSE India Bhavcopy

  1411

• lebedov/nseindia_lob

  National Stock Exchange of India Limit Order Book Simulation

  Language:Python3315

• harsh-vardhhan/Option-Trading-Backend

  Option trading platform on NSE (India) for Upstox

  Language:Python5723

• pratik141/nsedt

  Library to collect NSE data in pandas dataframe

  Language:Python3416

• chinmayHundekari/NSEDatabase

  A tool to download historical quotes from NSE india, store quotes in a database and provide the data as pandas dataframe.

  Language:Jupyter Notebook1817

• atrybyme/Open-Interest-NSE-Live-Analysis

  The package contains various analysis tools for live Option Chain Data.

  Language:Python5031

• Arkoprabho/NSEToolsPy

  Retreive data from NSE

  Language:Python2212

• debaonline4u/NSE-Data

  Download NSE data from google drive. Nifty 50 and Nifty next 50 stock and index data in different time frame. Download data for your research puropses.

  8127

• RuchiTanmay/nselib

  nse data library

  Language:Python6738

• pranjal-joshi/Screeni-py

  A Python-based stock screener to find stocks with potential breakout probability from NSE India.

  Language:Python576204

• aadityatamrakar/option_chain_analysis

  NSE Nifty Option chain analysis on the web page.

  Language:HTML10181

• mehul90/NSE_TRADER

  A basic implementation to download historic prices, apply a strategy, and see the strategy performance vis-a-vis the actual stock prices.

  Language:Python4343

• hemenkapadia/getbhavcopy

  Free NSE and BSE data downloader

  11248

• NSEDownload/NSEDownload

  Python Library to get historical stocks data on NSE

  Language:Python14957

• deshwalmahesh/NSE-Stock-Scanner

  National Stock Exchange (NSE), India based Stock screener program. Supports Live Data, Swing / Momentum Trading, Intraday Trading, Connect to online brokers as Zerodha Kite, Risk Management, Emotion Control, Screening, Strategies, Backtesting, Automatic Stock Downloading after closing, live free day trading data and much more

  Language:Jupyter Notebook207142

• VarunS2002/Python-NSE-Option-Chain-Analyzer

  The NSE has a website which displays the option chain in near real-time. This program retrieves this data from the NSE site and then generates useful analysis of the Option Chain for the specified Index or Stock. It also continuously refreshes the Option Chain and visually displays the trend in various indicators useful for Technical Analysis.

  Language:Python407216

• vsjha18/nsetools

  Realtime Data From National Stock Exchange (India)

  Language:Python813422