Finalytics

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This is a python binding for Finalytics Rust Library designed for retrieving financial data and performing security analysis and portfolio optimization.

Installation

pip install finalytics

Example

View the documentation for more information.

from finalytics import Screener, Tickers

# Screen for Large Cap NASDAQ Stocks
screener = Screener(
    quote_type="EQUITY",
    filters=[
        '{"operator": "eq", "operands": ["exchange", "NMS"]}'
    ],
    sort_field="intradaymarketcap",
    sort_descending=True,
    offset=0,
    size=10
)
screener.display()


# Instantiate a Multiple Ticker Object
symbols = screener.symbols()
tickers = Tickers(symbols=symbols,
                  start_date="2023-01-01",
                  end_date="2024-12-31",
                  interval="1d",
                  confidence_level=0.95,
                  risk_free_rate=0.02)

# Generate a Single Ticker Report
ticker = tickers.get_ticker(symbols[0])
ticker.report("performance")
ticker.report("financials")
ticker.report("options")
ticker.report("news")

# Generate a Multiple Ticker Report
tickers.report("performance")

# Perform a Portfolio Optimization
portfolio = tickers.optimize(objective_function="max_sharpe")

# Generate a Portfolio Report
portfolio.report("performance")

Key dates

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  • Released:
Newer release available (0.9.0)

1 maintainer

PyPI data
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Avatar for nnamdi.olisaeloka_dev-01 from gravatar.com nnamdi.olisaeloka_dev-01

Requires

Python >=3.7

Classifiers

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0.9.0

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