📈 Python package for trend detection on stock time series data 📉
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Updated
Jan 29, 2024 - Python
📈 Python package for trend detection on stock time series data 📉
A minimal but powerful Trend Direction/BuySell indicator for TradingView
Trend Detection in Python. Applicable for real-world industry use cases in time series.
A package for performing Singular Spectrum Analysis (SSA) and time-series decomposition
Library for automated signal segmentation, trend classification and analysis.
Advanced trend detection and labelling for time series with Python
A mechanical approach to determine the trend of a stock along with breakout and reversal levels.
📈 Python package for trend detection on stock time series data 📉
💹 MetaTrader 5 Expert Advisor Toolkit
Intelligent candlestick pattern recognition study for MotiveWave with 33+ patterns, dual MA trend detection (50/200), and context-aware filtering. Detects bullish/bearish reversals, neutral patterns, and emits trading signals. MIT licensed.
Self-improving AI agent that writes LinkedIn posts in YOUR voice, scores virality, and gets smarter from your results.
Python package for piecewise-linear trend detection and plain-English narrative generation for time series data.
Topic Monitoring in the Pharmaceutical Industry
Trend detection in time series of remotely sensed data using PolyTrend algorithm
🧠 Multi-agent AI platform that extracts feature-level sentiment, detects emerging complaint trends, and surfaces prioritized recommendations from customer reviews. LangGraph + LLaMA 3.1 + React.
This repository contains a collection of three Data Engineering capstone projects made for the DTU Data Engineering course 02807: Computational Tools for Data Science
One search, two windows: re-scores a cached last30days report under a shorter lookback and diffs the rankings to separate breakouts from fading from sustained. Offline companion skill — no extra API calls.
Professional Windows desktop application for YouTube creators. Smart views optimization, engagement tools, trend analysis and channel growth management. Fast, stable, regularly updated with clean modern interface and real-time statistics.
What software engineers are starting to talk about, before everyone else does. Hacker News + GDELT, counted daily, explained by LLMs.
Powerful AI-driven tool that uncovers trending Reddit topics across subreddits, delivering instant insights with advanced language generation.
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