yf-data

Name: yf-data
Availability: InStock
Author: PhaniJ

Collect, normalize, and validate OHLCV market data from yfinance.

1|Updated Jan 14, 2026

Search Tags:#ohlcv #data-validation #data-normalization #yfinance #yf-data #multi-symbol #timezone-utc

Ready to run

npx skills add https://github.com/phanijapps/zbot --skill yf-data

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: yf-data
Source: https://github.com/phanijapps/zbot/tree/main/gateway/templates/skills/yf-data
Command: npx skills add https://github.com/phanijapps/zbot --skill yf-data

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Collects, normalizes, and validates market data directly from yfinance to ensure reliable datasets for downstream analysis.

Core Features & Use Cases

Fetch OHLCV data for stocks, ETFs, indices, forex, crypto, and futures using yfinance.
Batch multi-symbol downloads with timezone-safe alignment to UTC.
Normalize columns to a consistent schema (open/high/low/close/adj_close/volume) and flag data quality issues.
Use cases include feeding historical price data into analytics pipelines, backtesting, and risk modeling.

Quick Start

Fetch OHLCV data for your target symbols using the yf-data skill.

Frequently Asked Questions about yf-data

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

FAQPage Schema

How do I fetch OHLCV data from yfinance for multiple symbols?▼

Batch multi-symbol OHLCV downloads from yfinance normalize columns to open, high, low, close, adj_close, and volume. Timestamps are aligned to UTC, and data quality issues are flagged for downstream analytics pipelines.

What asset classes does yfinance OHLCV data collection support?▼

OHLCV data collection supports stocks, ETFs, indices, forex, crypto, and futures. The process validates symbols, uses yf.download with a history fallback, and normalizes results into a consistent schema for analytics pipelines.

How does timezone normalization work for yfinance market data?▼

Timezone normalization aligns yfinance market data timestamps to UTC to prevent misaligned datasets across multiple symbols. This timezone-safe alignment ensures consistent chronological ordering for downstream analytics, backtesting, and risk modeling.

Can I use normalized yfinance data directly for backtesting and risk modeling?▼

Normalized yfinance data is designed for backtesting and risk modeling. The skill outputs a consistent OHLCV schema with adj_close and reports data-quality issues, ensuring reliable datasets for downstream analytics pipelines.

What are the limitations of using yf.download for historical price data?▼

yf.download is the primary fetch method for historical price data with a history fallback for reliability. Limitations include potential data-quality issues, which the skill validates and reports rather than silently ignoring during multi-symbol batching.