Skip to content

Releases: Cipher-unhsiV/gap-pattern-detection

v2.0.0

26 Feb 16:38
@Cipher-unhsiV Cipher-unhsiV
v2.0.0
dc082a7
Compare
Choose a tag to compare
v2.0.0 Latest
Latest

Launchlog - v2

GAP Pattern Detection: Real-Time Market Intelligence

We're thrilled to announce the release of GAP Pattern Detection v2, a comprehensive overhaul that transforms our pattern recognition tool into a real-time market intelligence platform. This major upgrade delivers on our vision of seamless, automated technical analysis for active traders.

Major Architectural Advancement

Version 2 represents a fundamental shift from static analysis to dynamic market interaction:

  • Real-Time Market Data Pipeline: Engineered a robust integration with Alpha Vantage API for live intraday candlestick data
  • Automated Chart Generation Engine: Implemented Plotly-powered visualization system that dynamically renders candlestick patterns
  • Streamlined Detection Workflow: Established end-to-end processing from market data acquisition to pattern recognition
  • High-Resolution Analysis: Optimized for 1-minute candle intervals, enabling precise pattern identification at critical market moments

Technical Specifications

  • Data Source: Alpha Vantage TIME_SERIES_INTRADAY API with configurable time intervals
  • Visualization Framework: Plotly Graph Objects with custom rendering parameters
  • Pattern Recognition: YOLOv11l neural network optimized for financial chart pattern detection
  • Error Handling: Comprehensive exception management with graceful degradation
  • UI Framework: Gradio Blocks for responsive, interactive user experience

Enhanced User Experience

The new interface simplifies the analytical workflow while expanding capabilities:

  1. Symbol-Based Analysis: Enter any publicly traded stock symbol
  2. One-Click Execution: Initiate complete analytical pipeline with a single action
  3. Real-Time Results: Receive annotated charts with GAP UP/DOWN patterns clearly highlighted
  4. Pattern Quantification: Get precise counts of detected patterns for quantitative analysis

Performance Improvements

  • Execution Speed: ~15 second processing time from data request to pattern detection
  • Detection Accuracy: Maintained high precision while adapting to dynamically generated charts
  • Error Resilience: Graceful handling of API limits, connectivity issues, and malformed data

Strategic Applications

This release enables several advanced trading strategies:

  • Real-Time Gap Trading: Identify and act on GAP patterns as they form in live markets
  • Pattern Frequency Analysis: Track GAP occurrence rates across different securities
  • Technical Signal Verification: Confirm other technical indicators with GAP pattern presence

Roadmap Preview

V2 lays the foundation for our ambitious development roadmap:

  • Pattern Expansion: Additional candlestick patterns beyond GAP UP/DOWN
  • Multi-Timeframe Analysis: Simultaneous pattern detection across different intervals
  • Predictive Analytics: Statistical models to forecast pattern outcomes
  • Advanced Visualization: Interactive, navigable chart annotations

The GAP Pattern Detection v2 release represents our commitment to developing sophisticated, accessible trading tools powered by cutting-edge AI. We invite traders of all experience levels to leverage this platform to enhance their technical analysis capabilities and market insights.

Experience the future of automated pattern recognition today.

Assets 2
Loading

Launchlog

31 Jan 05:31
@Cipher-unhsiV Cipher-unhsiV
v1.0.0
83d7600
This commit was created on GitHub.com and signed with GitHub’s verified signature.
GPG key ID: B5690EEEBB952194
Verified
Learn about vigilant mode.
Compare
Choose a tag to compare
Launchlog

Launchlog - MVP

Release: GAP Pattern Detection in Candlestick Charts

We’re excited to announce the release of the GAP Pattern Detection mvp! This tool is designed to help traders and analysts quickly identify GAP UP and GAP DOWN patterns in candlestick charts, saving time and improving accuracy in technical analysis.

Key Features

  • YOLOv11l Model: A state-of-the-art object detection model trained to detect GAP patterns with high accuracy.
  • Custom Dataset: Trained on a curated dataset of annotated candlestick charts, ensuring reliable performance.
  • User-Friendly Interface: A Gradio-based web interface for easy interaction and real-time detection.
  • Annotated Outputs: Visualizes detected patterns on the chart, along with counts of GAP UP and GAP DOWN occurrences.

How It Works

  1. Input: Upload an image of a candlestick chart.
  2. Detection: The YOLOv11l model processes the image to detect GAP patterns.
  3. Output: An annotated image with detected patterns highlighted, along with counts of GAP UP and GAP DOWN patterns.

Why Use This Tool?

  • Save Time: Automates the tedious process of manually identifying GAP patterns.
  • Improve Accuracy: Leverages machine learning to detect patterns with precision.
  • User-Friendly: No technical expertise required—just upload and analyze!

What’s Next?

We’re already working on Version 2, which will include real-time market data integration and advanced analytics. Stay tuned for updates as we continue to enhance this tool!

Loading