1 Repo
Built-in vectorized functions for common financial calculations like highest-high and lowest-low.
Distinct from Algorithmic Trading: Distinct from general algorithmic trading by providing the specific low-level vectorized math helpers for indicators.
Explore 1 awesome GitHub repository matching part of an awesome list · Vectorized Technical Helpers. Refine with filters or upvote what's useful.
pybroker is a Python algorithmic trading framework and quantitative technical analysis library designed for developing, testing, and optimizing trading strategies using historical market data. It functions as a trading strategy backtester and a financial performance evaluator, providing a structured environment to simulate trading rules and analyze their statistical reliability. The framework distinguishes itself through a market data integration layer that handles the fetching and caching of historical price data from external providers. It incorporates an event-driven backtesting engine and
Ships built-in vectorized functions for common financial operations like highest-high, lowest-low, and crossovers.