Technical Analysis Library using Pandas and Numpy
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Updated
Jul 17, 2024 - Jupyter Notebook
Technical Analysis Library using Pandas and Numpy
NeuralProphet: A simple forecasting package
🌈 Simple, elegant spark lines for Vue.js
Stay ahead of AI trends with automated Reddit insights! 🚀 This tool scans AI-related Reddit communities in English & Chinese, using Reddit Official API, DeepSeek R1 by OpenRouter to analyze posts, summarize key discussions, and track trends. Daily rankings hot topics—catch emerging trends before they go mainstream! (Updated every 6 AM CDT)
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
📈 Simple, elegant spark lines for Angular
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"
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.
Web components to generate simple charts representing trends
Stock market forecasting using the ARIMA model.
A bot that automatically fetches trending repositories and sends them to a channel
Saveto. Quick for save link, collections, notes, snipping, ...
A Python tool to forecast Google Analytics data using several popular time series models.
Python package for sequence (e.g. trend line, sentence, image) clustering
Add a description, image, and links to the trend topic page so that developers can more easily learn about it.
To associate your repository with the trend topic, visit your repo's landing page and select "manage topics."