Retrieve minute-level OHLCV data and compute VWAP and TWAP indicators.
npx skills add https://github.com/hxhyyy/Vibe-Trading --skill minute-analysis-hxhyyy
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
This skill addresses the difficulty of performing granular intraday market analysis by providing automated tools to retrieve and process high-frequency candlestick data.
Use the minute-analysis skill to fetch the latest 300 five-minute candles for BTC-USDT and calculate the current VWAP and volume distribution.
High-intent search queries and answers about installing and using this skill.
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.
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.
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.
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.
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.
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.
644408071-designRetrieve minute-level candlestick data from OKX, Tushare, or yfinance.
ajithkumar31082004-bitFetch minute-level candlestick data and compute VWAP, TWAP, and volume distribution.
JonathanMitchell1234Perform data cleaning, feature engineering, and statistical modeling with pandas and scikit-learn.
hawx1993Fetch real-time quotes and technical indicators for A-share stocks.
