Finalytics is a high-performance Python binding for the Finalytics Rust library, designed for retrieving financial data, security analysis, and portfolio optimization. It provides a fast, modular interface for advanced analytics, and powers dashboards and applications across platforms.
pip install finalyticsFinalytics Python exposes four core modules for financial analytics:
Efficiently filter and rank securities (equities, crypto, etc.) using advanced metrics and custom filters.
Usage Example:
from finalytics import Screener
screener = Screener(
quote_type="EQUITY",
filters=[
'{"operator": "eq", "operands": ["exchange", "NMS"]}'
],
sort_field="intradaymarketcap",
sort_descending=True,
offset=0,
size=10
)
screener.display()Analyze a single security in depth: performance, financials, options, news, and more.
Usage Example:
from finalytics import Ticker
ticker = Ticker(
symbol="AAPL",
start_date="2023-01-01",
end_date="2024-12-31",
interval="1d",
benchmark_symbol="^GSPC",
confidence_level=0.95,
risk_free_rate=0.02
)
ticker.report("performance")
ticker.report("financials")
ticker.report("options")
ticker.report("news")Work with multiple securities at once—aggregate reports, batch analytics, and portfolio construction.
Usage Example:
from finalytics import Tickers
symbols = ["AAPL", "MSFT", "GOOG"]
tickers = Tickers(
symbols=symbols,
start_date="2023-01-01",
end_date="2024-12-31",
interval="1d",
benchmark_symbol="^GSPC",
confidence_level=0.95,
risk_free_rate=0.02
)
tickers.report("performance")Optimize and analyze portfolios using advanced objective functions and constraints.
Usage Example:
symbols = ["NVDA", "GOOG", "AAPL", "MSFT", "BTC-USD"]
portfolio = Portfolio(
symbols=symbols,
benchmark_symbol="^GSPC",
start_date="2023-01-01",
end_date="2024-12-31",
interval="1d",
confidence_level=0.95,
risk_free_rate=0.02,
objective_function="max_sharpe"
)
portfolio.report("performance")- See the Quarto documentation for full details.
Finalytics is also available in:
Finalytics — Modular, high-performance financial analytics for Python.