There are 14 repositories under trend-analysis topic.
Technical Analysis Library using Pandas and Numpy
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.
Forecasting Monthly Sales of French Champagne - Perrin Freres
:chart_with_upwards_trend: A Python web app that analyzes popular trends of subreddits with data pulled from Reddit and news articles.
Library for automated signal segmentation, trend classification and analysis.
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
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.
Intrinsic Time-Scale Decomposition
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.
Bubble Radar simplifies keyword research on Redbubble for sellers to boost product visibility and sales. Search, format, and save popular keywords easily with this web app designed exclusively for Redbubble sellers.
Project analyzing trends in U.S. indigent burial for the 2022 Public Interest Technology Data Science Corps.
The aim of this work is to understand how frequency and sentiment of Covid-19 vaccines' nomenclatures changed over time.
Java library for financial technical analysis with multiple technical indicators
This is a study on the evolution of the PSG's financial statements since 2006.
Aims to analyze the #stopasianhate movement on Twitter and spread the awareness of anti-racism hate.
This technique uses a set amount of closed candles in the direction of the trade to determine where to move the stop loss.
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Analyze programming language usage over time in a git repository and produce a graphical or textual representation of the result.
The project is analyzing Ice Games sales throughout their lifetime in order to plan the next marketing campaign, as well as spotting and profiling potentially top-selling games.
A Tableau dashboard that monitors historical data of YouTube videos "trendiness" throughout time. The link for the online dashboard is attached below.
Is today / this week / this month hotter than usual? Next.js app visualizing weather trends for any geolocation over the past 80 years.
๐จโ๐ป๐จโ๐ป Critical insights findings and prepare presentable visualization for understanding. Trend analysis is a technique used to examine and past movements of an item based on current and historical data.