📈 A small, fast chart for time series, lines, areas, ohlc & bars

Technical Analysis Library using Pandas and Numpy

Bayesian Change-Point Detection and Time Series Decomposition

A python package for non parametric Mann Kendall family of trend tests.

trend / momentum and other patterns in financial timeseries

This script searches messages containing specified search terms in Telegram channels the user is a member of.

Python library to Fetch & Analyze Stock Market data.

Library for automated signal segmentation, trend classification and analysis.

What's trending on nostr?

Forecasting Monthly Sales of French Champagne - Perrin Freres

📈 A Python web app that analyzes popular trends of subreddits with data pulled from Reddit and news articles.

EMD(Empirical Mode decomposition) light weight library, C/C++ language

EBIC - AI-based parallel biclustering algorithm

A research project to crawl and analyze Top 1 million domains

CryptoKon with its advanced analysis tools, provides a deep understanding of the trends and movements within specific crypto projects, empowering you to make informed investment decisions. Say hello to a streamlined, user-friendly platform that puts the power of crypto analysis

Intrinsic Time-Scale Decomposition

An open source, real time trend detection library

Detect trends and changes in vegetation using remote sensing time series data.

Forecast the Airlines Passengers. Prepare a document for each model explaining how many dummy variables you have created and RMSE value for each model. Finally which model you will use for Forecasting.

Premise of Task: Contextual Alert and Trend System (CATS) is a proof of concept (POC) for an automated system for near real-time media monitoring via GDELT to identify trends and anomalies in the volume of online reports about pre-defined indicator events, at country level. This repository reflects the methodologies used to complete this task.