minute-analysis

Retrieve minute-level market data and compute VWAP and TWAP indicators.

Updated Jun 30, 2026
One-click install
npx skills add https://github.com/20YN04/vibe-trading-macos --skill minute-analysis-20yn04
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: minute-analysis
Source: https://github.com/20YN04/vibe-trading-macos/tree/main/agent/src/skills/minute-analysis
Command: npx skills add https://github.com/20YN04/vibe-trading-macos --skill minute-analysis-20yn04

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, numpy, requests.

What problem does it solve?

This Skill addresses the difficulty of performing high-frequency intraday analysis by automating the retrieval and calculation of minute-level market indicators.

Core Features & Use Cases

  • Multi-Source Data Retrieval: Fetches minute-level candlestick data from OKX, Tushare, and yfinance.
  • Technical Indicator Calculation: Computes VWAP, TWAP, and volume distribution profiles to identify intraday trends.
  • Use Case: A trader can use this to analyze the last 300 minutes of BTC-USDT price action to determine if the current price is trading above or below the volume-weighted average.

Quick Start

Use the minute-analysis skill to fetch 5-minute candlestick data for BTC-USDT and calculate the current VWAP and volume distribution.

Frequently Asked Questions about minute-analysis

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I calculate VWAP using minute-level cryptocurrency market data?▼

This skill retrieves minute-level candlestick data from sources like OKX and applies pandas and numpy to calculate intraday technical indicators like VWAP, TWAP, and volume distribution profiles for short-term trend analysis.

Can I fetch intraday market data from both cryptocurrency and equity exchanges?▼

Yes, you can fetch intraday market data from both cryptocurrency and equity exchanges. The skill supports automated data ingestion from OKX for crypto, alongside Tushare and yfinance for equity time-series data.

What is the best way to evaluate short-term trading strategies with minute-level data?▼

The best way to evaluate short-term trading strategies with minute-level data is by computing intraday indicators like VWAP and TWAP. This skill automates statistical aggregation on time-series data to determine if current prices trade above or below volume averages.

Do I need pandas and numpy to process minute-level time-series data for trading analysis?▼

Yes, you need pandas and numpy to process minute-level time-series data for trading analysis. These dependencies are required to handle the statistical aggregation and data manipulation for calculating intraday technical indicators.

How do I analyze the last 300 minutes of BTC-USDT price action?▼

To analyze the last 300 minutes of BTC-USDT price action, the skill fetches 5-minute candlestick data from OKX and calculates the current VWAP and volume distribution to identify intraday trends and trading biases.