Analysis updated 2026-05-18
Turn a candlestick chart screenshot into an annotated image showing channels, ranges, and key price levels.
Generate a trading plan overlay with entry triggers, invalidation points, and target zones based on a chart image.
Review past chart action with labeled evidence and outcomes instead of just naming a chart pattern.
| cheshiremew/price-action-analysis | forsy-ai/forsy-trace-skill | petergpt/doomql | |
|---|---|---|---|
| Stars | 54 | 54 | 54 |
| Language | Python | Python | Python |
| Setup difficulty | easy | easy | easy |
| Complexity | 2/5 | 2/5 | 2/5 |
| Audience | developer | researcher | developer |
Figures from each repo's GitHub metadata at analysis time.
Requires linking the repo folder into the Codex skills directory via a symlink or junction on Windows.
Price Action Analysis is a Codex skill that turns a candlestick chart screenshot or OHLC price data supplied by a user into an annotated trading chart. It draws channels, trading ranges, arrows, key price levels, pattern labels, and a trading plan directly on top of the chart image. The analysis follows a price action reading style associated with trader Al Brooks, looking at market context, market cycles, channels, trading ranges, breakouts, failed breakouts, and reversal attempts. The skill overlays deterministic annotations on the original chart rather than redrawing the candlesticks or making up price data. Each output combines two layers in the same image: a review of what already happened on the chart, and a current trading plan built from that context, including bullish and bearish trigger points, invalidation levels, target zones, and conditions under which no trade should be taken at all. The repository is meant to be linked into a Codex user skill folder using a symbolic link or directory junction on Windows, after which Codex can call it by name when a user provides a candlestick chart image. There is also a standalone rendering script that can draw the annotations onto an image file directly from a set of annotation data, without going through Codex. The project sets clear delivery standards for its output: every chart must include both the historical review layer and the current plan layer, the historical review must explain the evidence and plan that applied at the time rather than just naming a pattern, the current plan must state its trigger, stop or invalidation point, target zone, and no trade conditions, and any text on the chart must not cover important candles, the most recent price action, or the price axis. If real time or recent market data is used, its source and timing must be stated.
A Codex skill that annotates candlestick chart screenshots with price action analysis, marking channels, key levels, and a trading plan directly on the image.
Mainly Python. The stack also includes Python.
No license information was found in the README.
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
Verify against the repo before relying on details.