{"repo":"MainakVerse/When-To-Bull","free":true,"listed":false,"github":"https://github.com/MainakVerse/When-To-Bull","clone":"git clone https://github.com/MainakVerse/When-To-Bull.git","description":"When-to-bull AI is an advanced application designed for detecting patterns in stock and cryptocurrency charts using deep learning techniques. This project extends their approach by implementing the model with YOLOv8 and integrating it into a user-friendly Streamlit app.","language":"Python","stars":15,"topics":["prediction-model","stock-market","trading-algorithms","trading-strategies","bull-bear"],"license":"MIT","category":"trading","readme_excerpt":"When-to-Bull AI Overview When-to-bull AI is an advanced application designed for detecting patterns in stock and cryptocurrency charts using deep learning techniques. This project extends their approach by implementing the model with YOLOv8 and integrating it into a user-friendly Streamlit app. This application aims to automate the process of chart pattern recognition, providing traders and analysts with a powerful tool for making informed decisions. About When-to-bull AI leverages the power of YOLOv8, a state-of-the-art object detection algorithm, to identify and classify patterns in financial charts. The model provides outputs in two classes: Buy and Sell, based on candlestick patterns. This application provides a robust solution for traders and analysts to quickly recognize significant chart formations, aiding in more informed decision-making. Problem Statement In the financial market, timely and accurate identification of chart patterns is crucial for making profitable trading decisions. Manual detection is not only time-consuming but also prone to human error. There is a need for an automated system that can analyze charts in real-time, identify patterns with high accuracy, and present the results in an accessible format. Data Collection and Data Annotation The dataset for this project was meticulously curated from various financial sources, ensuring a diverse range of chart patterns. The data collection process involved: 1. Downloading Charts : Using the yfinance librar","default_branch":null,"files":null,"tree":[],"storefront":"/r/MainakVerse","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/MainakVerse/When-To-Bull/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}