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Automated screener for William J O'Neil's winning CAN SLIM system
Python Backtesting library for trading strategies
Backtesting and Trading Bots Made Easy for Crypto, Stocks, Options, Futures, FOREX and more
PowerShell scripts that implement various trading algorithms
Scraping tool to obtain detailed information about NSE (Nifty) indices
A .NET API wrapper for Yahoo Finance that allows users to get top trending stocks, historical stock data, stock splits, dividends, capital gains, and much much more!
Stanford Project: Artificial Intelligence is changing virtually every aspect of our lives. Today’s algorithms accomplish tasks that until recently only expert humans could perform. As it relates to…
Real time scrapping of stock data in order to get the most recent available information. Cleaning, structuring and parsing of relevant data to provide an interactive and informative dashboard. Dash…
A Python-based stock screener to find stocks with potential breakout probability from NSE India.
A Python-based stock screener for NSE, India. PKScreener is an advanced free stock screener to find potential breakout stocks from NSE and show its possible breakout values. It also helps to find t…
NIFTY Data Analysis: Stock Market Trend Analysis This project focuses on analyzing and visualizing trends in the NIFTY index from the Indian stock market. Using Python's data analysis libraries lik…
Seamless Finance: Docker-Deployed APIs for Smart Investments. [WORK IN PROGRESS]
The Unofficial Python Wrapper for NSEIndia API
Python Library to get publicly available data on NSE website ie. stock quotes, historical data, live indices
A Python library for interacting with the Schwab API
Unofficial API wrapper for the Schwab HTTP API
All Algorithms implemented in Python
Unofficial Python Api for NSE India stock exchange
A tool to download historical quotes from NSE india, store quotes in a database and provide the data as pandas dataframe.
An easy and lightweight wrapper for using the Charles Schwab API.
This repository contains a python file with is used to calculate charting indicators.
Forecasting & Recommender System for the Stock market that leverages information across various sources
Trading Technical Indicators python library
Powerful technical charting app/interface in pure Python
Technical Analysis Library using Pandas and Numpy
A fully automated script to download and update NSE EOD Historical stock, index and delivery data with added features