Reliable, clean market data and basic analytics — pure Python, no C dependencies.
Project description
marketkit
Reliable, clean market data and basic analytics, pure Python, no C dependencies.
Install
pip install marketkit
Quick start
import marketkit as mk
Fetch clean, adjusted OHLCV data
df = mk.get("AAPL")
Analytics
print(mk.sharpe(df)) print(mk.drawdown(df))
Indicators
df["rsi"] = mk.rsi(df) df["sma50"] = mk.sma(df, window=50)
One-shot summary
mk.summary("AAPL")
Why marketkit?
- Pure Python — installs with plain
pip install, no compiler needed - Doesn't break — automatic source fallback + caching so one bad day from Yahoo doesn't crash your script
- Clean output — flat columns, predictable dtypes, adjusted prices by default
- Beginner-friendly — sensible defaults, clear errors, great docs
Disclaimer
Not affiliated with any data provider. Data is for personal/research use only. Users must comply with each source's terms of service. Not financial advice.
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