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Michael G's repositories

highfrequency

The highfrequency package contains an extensive toolkit for the use of highfrequency financial data in R. It contains functionality to manage, clean and match highfrequency trades and quotes data. Furthermore, it enables users to: calculate easily various liquidity measures, estimate and forecast volatility, and investigate microstructure noise and intraday periodicity.

Language:R100

alphalens

Performance analysis of predictive (alpha) stock factors

Language:Jupyter NotebookApache-2.0000

backtrader

Python Backtesting library for trading strategies

Language:PythonGPL-3.0000

bde

Basic Development Environment - a set of foundational C++ libraries used at Bloomberg.

Language:C++Apache-2.0000

bde-tools

Tools for developing and building libraries modeled on BDE

Language:PerlApache-2.0000

coinbasepro-python

The unofficial Python client for the Coinbase Pro API

Language:PythonMIT000

Company-Analysis-Model

Documentation behind the model used to analyse companies in Simply Wall St

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crypto-sheets-api

Cryptocurrency price data API for Google Sheets

Language:Python000

finmarketpy

Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)

Language:PythonApache-2.0000

Finnhub-API

Finnhub API provides institutional-grade financial data to investors, fintech startups and investment firms. We support real-time stock price, global fundamentals and alternative data. https://finnhub.io/docs/api

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