minute-analysis

Name: minute-analysis
Availability: InStock
Author: hxhyyy

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

Updated Jul 8, 2026

Search Tags:#analysis #backtesting #trading #market-data #candlestick #vwap

Ready to run

npx skills add https://github.com/hxhyyy/Vibe-Trading --skill minute-analysis-hxhyyy

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: minute-analysis
Source: https://github.com/hxhyyy/Vibe-Trading/tree/main/agent/src/skills/minute-analysis
Command: npx skills add https://github.com/hxhyyy/Vibe-Trading --skill minute-analysis-hxhyyy

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pandas, numpy, requests.

What problem does it solve?

This skill addresses the difficulty of performing granular intraday market analysis by providing automated tools to retrieve and process high-frequency candlestick data.

Core Features & Use Cases

Multi-Source Data Retrieval: Fetches minute-level OHLCV data from OKX, Tushare, and yfinance.
Technical Indicator Calculation: Computes VWAP, TWAP, and volume distribution profiles to identify market liquidity and price trends.
Use Case: A trader can use this to calculate the current VWAP for BTC-USDT to determine if the asset is currently trading at a premium or discount relative to the day's volume-weighted average.

Quick Start

Use the minute-analysis skill to fetch the latest 300 five-minute candles 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 candlestick data for crypto and equities?▼

To calculate VWAP from minute-level candlestick data, the skill retrieves OHLCV time-series from sources like OKX, Tushare, and yfinance, then applies statistical processing via pandas and numpy to compute volume-weighted average pricing.

Can I fetch intraday OHLCV data from multiple sources like OKX and yfinance?▼

Yes, you can fetch intraday OHLCV data from multiple sources. The skill supports retrieving minute-level candlestick data from OKX, Tushare, and yfinance to integrate both cryptocurrency and equity market data.

What's the best way to backtest trading strategies with high-frequency market data?▼

The best way to backtest trading strategies with high-frequency market data is to process minute-level candlestick time-series to compute intraday indicators like VWAP and TWAP, generating real-time signals for statistical analysis.

Do I need pandas and numpy to process time-series data for intraday market analysis?▼

Yes, you need pandas and numpy to process time-series data for intraday market analysis. These dependencies are required to retrieve and statistically analyze minute-level financial candlestick data for technical indicator calculation.

What technical indicators can I compute from five-minute candles?▼

From five-minute candles, you can compute intraday technical indicators including VWAP, TWAP, and volume distribution profiles. These help identify market liquidity and price trends for assets like BTC-USDT.

Does minute-level market data analysis support volume distribution profiles?▼

Minute-level market data analysis supports volume distribution profiles. The skill computes these profiles alongside VWAP and TWAP from retrieved OHLCV data to determine if an asset trades at a premium or discount.