market-generic is a powerful and flexible Python library designed to simplify the process of working with stock market data. It provides a comprehensive set of tools and utilities to handle, analyze, and visualize stock data, enabling developers and analysts to build dynamic stock scanners, trading strategies, and other financial applications with ease.

• Data Handling: Seamless integration with popular data sources (e.g., Yahoo Finance, NSE APIs) to fetch and manage stock data.
• Technical Indicators: A wide range of technical indicators (e.g., Moving Averages, Pivot Points, RSI, MACD) for in-depth market analysis.
• Generic Strategy Abstractions: Tools to dynamically create trading strategies on the fly based on user-defined parameters.
• Extensibility: Modular design allows for easy integration with other Python libraries and frameworks.

To install the AlgoTrade package, use pip:

pip install market-generic

Here's a simple example of how to use the Trade package to fetch and analyze stock data: python

>>from trade.nse import NSEStock
>>stock = NSEStock("RELIANCE", "17-May-2024")
>>stock.symbol == "RELIANCE"
True 
>>stock.curr_ohlc 
# Will Display Reliance's latest Bhav 
{
"open": 2860.7,
"low": ...,
"high":...,
 "close": ...,
 "volume": ...
 "pct_change": ...
}

AllNSEStocks uses NSEStock module underneath to utilize stock functions.

>>from trade.nse import AllNSEStocks
>>all_stocks = AllNSEStocks("17-May-2024", ["RELIANCE", "SBIN"])
>>all_stocks.symbols[0] == "RELIANCE"
True
>>all_stocks.symbols[1] == "SBIN"
True 
>>all_stocks.symbols[0].curr_ohlc
# Will Display Reliance's latest Bhav 
{
"open": 2860.7,
"low": ...,
"high":...,
 "close": ...,
 "volume": ...
 "pct_change": ...
}

For detailed documentation, examples, and API reference, please visit the market-generic GitHub repository.