The skill uses `pandas_ta` to calculate the A/D line and standard deviation for volatility. It serves a Lightweight Charts frontend via a Flask local server.
Install
npx skillscat add florianvsteen/lightweightchart-agent Install via the SkillsCat registry.
We need to produce a 2-3 sentence plain-text summary, objective, factual, no marketing language, no superlatives, no calls to action. Must be natural prose, no bullet points, no headings, no markdown. At most 60 words. No quotes. Just the summary text. We need to explain what skill does, what problem it solves, when to use. Skill: uses pandas_ta to calculate A/D line and standard deviation for volatility, serves Lightweight Charts frontend via Flask local server. Identifies accumulation phases: sideways price consolidation (low volatility) + rising A/D volume flow.
Accumulation Detector Skill
Description
This skill identifies "Accumulation" phases in financial markets. It looks for sideways price consolidation (low volatility) combined with rising Accumulation/Distribution (A/D) volume flow, signaling that institutional "smart money" may be entering positions.
Parameters
| Parameter | Type | Description | Example |
|---|---|---|---|
symbol |
string | The ticker symbol to analyze. | BTC-USD, AAPL, TSLA |
timeframe |
string | The data interval (default: 1d). | 1h, 1d, 1wk |
Triggers
- "Check if BTC is in an accumulation zone."
- "Show me the accumulation chart for Tesla."
- "Scan the market for stocks being accumulated."
Output
- Chart: A TradingView-style interactive chart.
- Markers: Visual "ACC" indicators on the price action.
- Summary: A text-based confirmation of volatility vs. volume flow.
Implementation Details
The skill uses pandas_ta to calculate the A/D line and standard deviation for volatility. It serves a Lightweight Charts frontend via a Flask local server.