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.