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Awesome GitHub RepositoriesCandlestick Data Processing
Transformation of raw financial time-series into structured arrays or data frames for technical analysis.
Distinct from Financial Data Processing: Focuses on the transformation and structural processing of K-line data rather than general ingestion
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Awesome Candlestick Data Processing GitHub Repositories
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- fasiondog/hikyuu
fasiondog/hikyuu
2,999Auf GitHub ansehenHikyuu is a quantitative trading framework designed for developing, backtesting, and executing systematic trading strategies. It functions as a high-speed system that combines a financial time-series library, a multi-factor analysis tool, and a quantitative backtesting engine to support comprehensive trading research. The framework is distinguished by its high-speed computing core, which utilizes multi-threaded execution to process large volumes of market data for technical indicator generation. It supports a modular strategy composition model where signal, risk, and fund management component
Converts financial time-series records into arrays or data frames specifically for technical analysis.
C++algorithms-tradingbacktestingcpp
