Technical Analysis Library using Pandas and Numpy
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Updated
Mar 18, 2026 - Jupyter Notebook
Technical Analysis Library using Pandas and Numpy
NeuralProphet: A simple forecasting package
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Awesome Programming Best Practices for Beginners
PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.
Bayesian Change-Point Detection and Time Series Decomposition
智能体(Agentic AI)最前沿技术的深入剖析。| Latest techniques in agentic AI area
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C# TA library for real-time financial analysis, offering ~100 indicators. Available on NuGet, Quantower compatible. Ensures early validity of calculated data, calculation accuracy tested against four TA libraries.
Anomaly detection on the UC Berkeley milling data set using a disentangled-variational-autoencoder (beta-VAE). Replication of results as described in article "Self-Supervised Learning for Tool Wear Monitoring with a Disentangled-Variational-Autoencoder"
Web components to generate simple charts representing trends
Stock market forecasting using the ARIMA model.
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