feather-data-fetcher 0.1.0

Production-grade data ingestion engine for Quantitative Finance and AI.

🪶 Feather Data Fetcher

Production-grade financial data ingestion for Python.

feather-data-fetcher is an open-source data pipeline extracted directly from the core of the Feather AI institutional intelligence engine.

Building trading bots and AI models is hard enough without having to write broken retry-loops for terrible financial APIs. This package handles rate limits, exponential backoff, time-zone normalization, and alternative data aggregation out of the box.

Why use this?

• Zero "Dirty Data": We automatically clean and normalize OHLCV data from Yahoo Finance and CoinGecko.
• Built-in Resilience: Uses urllib3 Retry adapters to silently survive API 500s and 429 Rate Limits without crashing your script.
• Alternative Data Unlocked: Fetch Congressional trading, Insider selling, Crypto Whale tracking, and Dark Pool volume with single function calls.

Installation

pip install feather-data-fetcher

Quickstart

from feather_fetcher import fetch_stock_history_yfinance, fetch_crypto_whale_signals

# 1. Fetch clean, normalized OHLCV data
df = fetch_stock_history_yfinance("NVDA", period="3mo")
print(df.head())

# 2. Track institutional Crypto whales (Requires CCXT/Binance)
whales = fetch_crypto_whale_signals("BTC/USDT", large_usd=100000)
print(f"Net Whale Flow: ${whales['weighted_net']}")

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⚡ Want the Data Analyzed Automatically?

Raw data is just the beginning.

If you want this data automatically fed through custom HuggingFace Sentiment Transformers, Quant Volatility Matrices, and Herfindahl-Hirschman (HHI) concentration scoring to predict market crashes in under 25 seconds...

Join the Waitlist for the Feather AI Platform Terminal-native wealth management, powered by advanced ML.