Hacktoberfest 2026: the issues maintainers tagged for October, open and beginner-friendly. Browse Hacktoberfest issues

Using mplfinance for AI-powered trading signal generation

Open
#700 0 comments 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
10/100
Issue type
Feature
Clarity
Needs clarification
Activity status
Quiet
Tech stack
machine-learning, python
Domain
data-visualization, machine-learning

Research direction

The issue describes an external ChartScanAI project using mplfinance, YOLOv8, MT5 data, and Telegram, but names no mplfinance files, tests, or requested change. There is no actionable completion criterion; a contributor would first need clarification of the intended improvement to mplfinance.

Written by the indexing model from the issue text.

Description

Hi mplfinance team,

I'm using mplfinance to generate candlestick charts that are then analyzed by YOLOv8 for Buy/Sell signal detection.

The charts are generated from real-time MT5 data, analyzed by AI, and results are posted to Telegram channels.

This is a cool application of mplfinance in the AI trading space!

GitHub: https://github.com/xiaoumin3-alt/ChartScanAI

Dominant language
Python
Stars
4.4k
Forks
678
No merged PRs in 30d

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

More from matplotlib/mplfinance

All issues in matplotlib/mplfinance

Similar issues

More Python issues

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.