Open source time series library for Python
This project is a Python wrapper for the TA-Lib C library, serving as a financial technical analysis library and quantitative trading tool. It provides a collection of mathematical functions designed to analyze market price movements, identify trading signals, and recognize candlestick patterns within financial data. The library focuses on the computation of trend, momentum, and volume metrics. It includes specialized tools for candlestick pattern recognition to detect recurring price action shapes in both historical and real-time data. The system integrates with NumPy arrays to process cont
Practical PyTorch is a collection of deep learning tutorials and guides focused on implementing recurrent neural networks. The project provides practical code for building sequence models and sequence-to-sequence architectures using the PyTorch framework. The repository covers the implementation of models for neural machine translation, character-level text generation, and text classification. It includes examples for transforming input sequences into output sequences for machine translation and synthesizing new text. The project also extends to sequence data prediction and time series analy
Die Hauptfunktionen von bashtage/arch sind: Quantitative Libraries, Time Series Analysis, Python Libraries.
Open-Source-Alternativen zu bashtage/arch sind unter anderem: rjt1990/pyflux — Open source time series library for Python. twosigma/flint — A Time Series Library for Apache Spark. mrjbq7/ta-lib — This project is a Python wrapper for the TA-Lib C library, serving as a financial technical analysis library and… spro/practical-pytorch — Practical PyTorch is a collection of deep learning tutorials and guides focused on implementing recurrent neural… alkaline-ml/pmdarima — A statistical library designed to fill the void in Python's time series analysis capabilities, including the… albertoalmuinha/garchmodels — The Tidymodels Extension for GARCH models.
