A Python CLI tool to scan, detect, and plot stock chart patterns

Automate the detection of chart patterns

This repo houses all code for ZetraTrading's Youtube Channel

Real time chart pattern detection library

📈 Machine learning for cryptocurrency chart pattern detection and technical analysis using Python and deep learning models

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.

chartVantage is a Python-based project designed to identify and analyze chart patterns in financial time series data. This tool enables traders and analysts to recognize key patterns in stock price movements, aiding in market predictions and decision-making.

Advanced pattern detection using the YOLO (You Only Look Once) model, a state-of-the-art object detection framework

AI-powered market research for stocks and crypto. Charts, options, news, fundamentals, and macro, ... analysis in Siglens

MCP server exposing StockMarketScan screeners, chart patterns, options flow signals and equities research as tools for Claude Desktop, Cursor, Continue and any other MCP client.

Open-source candlestick pattern scanner and market structure analyzer for traders. Detects chart patterns, calculates historical probabilities from CSV or live crypto data, visualizes trend structures, and performs fully client-side statistical analysis with no AI hype.

📈 Chart Dojo — A gamified technical analysis trainer. Practice candlestick patterns, chart formations, and market structure through quick challenges. Earn XP, keep streaks, and level up your trading skills.

Market-data API + MCP server for AI agents — US stocks, ETFs and crypto spot. Ticker + timeframe returns a token-compact market-state brief: patterns with backtested base rate and lift vs baseline, support/resistance, regime, RSI/EMA. Not investment advice.

Check detected chart patterns against the rate the market moves that way anyway, so you can see which signals carry any information at all. Lift over a pattern-free baseline with cluster-robust intervals -- never against 50%.