alpha_vantage
Finance API wrapper
A Python module providing a simple interface to financial data from the Alpha Vantage API.
A python wrapper for Alpha Vantage API for financial data.
4k stars
176 watching
741 forks
Language: Python
last commit: 4 months ago
Linked from 1 awesome list
alpha-vantagealphavantageapi-wrapperbitcoincryptocurrencyfinancefinancial-datajsonpandaspythonstock
wilsonfreitas/awesome-quantRelated projects:
| Repository | Description | Stars |
|---|---|---|
 alpha-miner/finance-python | A Python library providing financial calculation tools and technical indicators. | 747 |
 alexgolec/tda-api | An unofficial wrapper around TD Ameritrade APIs for Python | 1,267 |
 bukosabino/ta | A Python library for financial time series analysis and feature engineering using technical indicators | 4,356 |
 openbb-finance/openbb | An open-source financial platform providing access to various financial data sources and offering research and analytics tools. | 33,972 |
 cuemacro/findatapy | A unified Python API to download market data from various sources | 1,700 |
 hongtaocai/googlefinance | A Python module to fetch real-time and historical stock data from Google Finance API | 711 |
 hydrosquall/tiingo-python | A Python client for accessing financial data from the Tiingo API | 252 |
 davidastephens/pandas-finance | A Python library providing an interface to financial data and analysis tools. | 152 |
 alvarobartt/investpy | A Python package to retrieve data from Investing.com | 1,659 |
 attack68/rateslib | A Python library designed to facilitate fixed income analysis with pricing tools and risk calculations | 153 |
| cuemacro/finmarketpy | A comprehensive Python library for backtesting trading strategies and analyzing financial markets. | 3,461 |
 pmorissette/bt | A flexible Python framework for building and testing algorithmic trading strategies | 2,287 |
 quantopian/alphalens | A Python library for analyzing performance of predictive stock factors | 3,384 |
 ymyke/tessa | Provides an easy-to-use interface to financial data from various sources. | 44 |
 ram-ki/101_formulaic_alphas | This project implements 101 algorithmic trading strategies using Python to generate superior returns relative to a benchmark. | 15 |