Skip to content

Releases: Cipher-unhsiV/gap-pattern-detection

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 Latest
Latest

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!

Assets 2
Loading