daily stock screening by using Mark Minervini's volatility contraction pattern detection, stage 2 template searching and news sentiment analysis by openAi api

This project is an AI-powered anomaly detection system that monitors social media trends, physical environmental conditions, and stock market behavior in real time. It correlates signals across multiple domains using machine learning and LLMs to detect abnormal patterns and explain why anomalies occur and what they may indicate.

Stock Price(Candlestick, Chart) Pattern Modeling(Detection)

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تشخیص الگوهای چارت با مدل YOLO8

Python based web-app for candlestick pattern recognition and stock state detection.

Model Card for YOLOv8s Stock Market Pattern Detection

A lightweight Chrome extension that captures your TradingView chart, sends it to a YOLOv8 model hosted on Hugging Face (FastAPI backend), and returns an annotated chart with detected patterns like Rising/Falling Channels, Head & Shoulders, Inverse Head & Shoulders, Double Top, and Double Bottom. Features: One-click capture of visible TradingView

stockmarket-pattern-detection-yolov8 https://huggingface.co/foduucom/stockmarket-pattern-detection-yolov8

RT web interface using Flask and Socket.IO to view dummy stock data. Also includes V-pattern detection.

An exploration to enhance financial markets regulation through trading pattern detection algorithms for the U.S. stock markets

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Pattern detection on stock and crypto candlestick data using TA-Lib, Pandas, Flask, and YFinance

Time series analysis, Sequential pattern mining of IBM stock data set and Classification, Outlier Detection of UCI Abalone data set.

A Node.js tool for fetching stock data from India's National Stock Exchange (NSE) and performing Volume Contraction Pattern (VCP) analysis. Features include automated data fetching, VCP pattern detection, multi-timeframe analysis, and command-line interface with customizable options.

AI-powered trading bot for stock market pattern detection using YOLOv12 and deep learning

The YOLOv8n Stock Pattern Detection model is designed to adapt to the fast-paced nature of live trading environments. Its ability to operate on real-time video data allows traders and investors to harness pattern-based insights without delay.

detect stock market patterns using YOLOv8

A pattern detection model for technical analysis, powered by an algorithm that automatically identifies key trend reversals and inverse patterns in stock and crypto data.

Identifies 4 key stock patterns using Perceptually Important Points and sliding window.

predicting the stock market trend using candlestick patterns

Stock Trading ML Models: Hidden Markov Model, Computer Vision Pattern Detection, Chart Image Recration

AI-based Stock Pattern Detection Tool for macOS - Real-time technical analysis with advanced pattern recognition and automated alerts

Technical analysis application for stock price visualization with candlestick charts, automated peak/valley detection, wave pattern recognition, and Fibonacci retracement analysis. Dual implementation in C# Windows Forms with CSV data import and simulation playback features.

A simple web application that checks if a message contains common spam patterns such as "free money", "please help", "stock alerts", or large dollar amounts. Built using HTML, CSS, and JavaScript with regex-based detection for realistic spam variations.

5-Minute Chart Pattern Detection with Python This repository contains a Python script that fetches stock data via yfinance, identifies pivot points (A, B, C) using custom logic, and visualizes signals with mplfinance. Perfect for learning data ingestion, transformation, and candlestick charting techniques.

This project implements a Stock Anomaly Detection System that utilizes various anomaly detection techniques and machine learning algorithms to identify unusual patterns in daily stock prices.

Smart stock pattern detection

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No description available