Limexhub

Python version PyPi version PyPi downloads Star this repo

limexhub is a comprehensive Python library designed to simplify interactions with the financial data and services provided by Limex DataHub. It provides an easy-to-use interface for fetching various types of financial data, including instruments, candles, fundamentals, news, events, and predictive signals.

• Ease of Use: The limexhub library has a straightforward, intuitive interface that enables quick access to Limex DataHub.
• Comprehensive Data Coverage: Access a wide range of financial data, from market instruments and historical candlestick charts to company fundamentals and latest news.
• Predictive Signals: Leverage advanced machine learning models and signals to inform your financial decisions.
• Customization: Easily customize your data queries with flexible parameters suitable for different analysis and trading strategies.
• Efficiency: The library is designed for efficiency, minimizing the amount of code needed to make requests and handle responses.

Install limexhub with pip:

pip install limexhub

The library needs to be configured with an API key from your account. Sign up for free and you will automatically receive a set of API keys to start with.

import limexhub
api_token = 'your_api_key'
client = limexhub.RestAPI(token=api_token)
instruments = client.instruments(assets='stocks')
DJI_constituents = client.constituents(index = 'DJI')
SP500_constituents = client.constituents()
candles = client.candles(symbols = ["AAPL", "NVDA"],
 start="2024年01月01日", 
 end="2025年01月01日", 
 interval = "1d",
 pivot=False)
 
fundamental = client.fundamental(symbol="AAPL", 
 from_date="2023年01月01日",
 to_date="2024年01月01日",
 fields='roa')
fundamental = client.fundamental(symbol="AAPL", 
 from_date="2010年01月01日",
 to_date="2024年01月01日",
 fields=None)
fundamental = client.fundamental(fields='roa',
 quarter='Q2-2023')
 
 
events = client.events(symbol="AAPL",
 from_date="2023年01月01日", 
 to_date="2024年01月01日",
 event_type="dividends")
news = client.news(symbol="AAPL", 
 from_date="2023年03月01日",
 to_date="2024年03月03日")
models = client.models(vendor = 'boosted')
signals = client.signals(vendor="boosted", 
 model=models.iloc[0]['id'], 
 symbol="AAPL", 
 from_date="2023年01月01日")