trend-analysis
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📈 A small, fast chart for time series, lines, areas, ohlc & bars
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Feb 6, 2026 - JavaScript
Technical Analysis Library using Pandas and Numpy
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Jul 17, 2024 - Jupyter Notebook
🎯 哔哩哔哩(bilibili)评论区数据可视化分析软件-- up主可用于指导自己的题材选择,明确自己的粉丝群体
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Jun 27, 2025 - Python
Bayesian Change-Point Detection and Time Series Decomposition
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Sep 11, 2024 - C
A python package for non parametric Mann Kendall family of trend tests.
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Mar 22, 2025 - Python
trend / momentum and other patterns in financial timeseries
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Jun 27, 2021 - Jupyter Notebook
Polymarket AI market suggestor that blends real-time news, social sentiment, and on-chain trends to propose new prediction markets with LLM reasoning, analytics, and CLI tooling.
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Nov 13, 2025 - Python
This script searches messages containing specified search terms in Telegram channels the user is a member of.
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Jul 11, 2023 - Python
MCP server for Naver Search API integration. Provides comprehensive search capabilities across Naver services (web, news, blog, shopping, etc) and data trend analysis tools via DataLab API.
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Jan 12, 2026 - JavaScript
Library for automated signal segmentation, trend classification and analysis.
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Feb 4, 2026 - Jupyter Notebook
Python library to Fetch & Analyze Stock Market data.
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Jul 4, 2018 - Python
📰 Python Google News scraper for headlines, summaries & sources. Media monitoring, trend analysis with proxy rotation & automated CSV export.
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May 13, 2025 - Python
📈 A Python web app that analyzes popular trends of subreddits with data pulled from Reddit and news articles.
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Jan 21, 2018 - Jupyter Notebook
Forecasting Monthly Sales of French Champagne - Perrin Freres
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Jun 23, 2019 - Jupyter Notebook
A research project to crawl and analyze Top 1 million domains
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Feb 7, 2023 - Python
EBIC - AI-based parallel biclustering algorithm
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Sep 25, 2018 - C++
Advanced trend detection and labelling for time series with Python
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Oct 21, 2025 - Python
EMD(Empirical Mode decomposition) light weight library, C/C++ language
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Oct 29, 2019 - C++
Time Series Forecasting Methods — A collection of Python implementations for essential time series forecasting techniques, including Simple, Double, Triple Exponential Smoothing, and Moving Averages.
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Mar 15, 2025 - Jupyter Notebook
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