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Project description

Finalytics

pypi License Homepage

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

Installation

Windows and MacOS

pip install finalytics

Linux

Still in development

Documentation

Symbol Search

from finalytics import get_symbols

print(get_symbols("Apple", "Equity"))
print(get_symbols("Bitcoin", "Crypto"))
print(get_symbols("S&P 500", "Index"))
print(get_symbols("EURUSD", "Currency"))
print(get_symbols("SPY", "ETF"))

Security Analysis

from finalytics import Ticker

ticker = Ticker("AAPL")
print(ticker.get_current_price())
print(ticker.get_summary_stats())
print(ticker.get_price_history("2023-01-01", "2023-10-31", "1d"))
print(ticker.get_options_chain())
print(ticker.get_news("2023-11-01", "2023-11-10", False))
print(ticker.get_income_statement())
print(ticker.get_balance_sheet())
print(ticker.get_cashflow_statement())
print(ticker.get_financial_ratios())
print(ticker.compute_performance_stats("2023-01-01", "2023-10-31", "1d", "^GSPC", 0.95, 0.02))
ticker.display_performance_chart("2023-01-01", "2023-10-31", "1d", "^GSPC", 0.95, 0.02, "html")
ticker.display_candlestick_chart("2023-01-01", "2023-10-31", "1d", "html")
ticker.display_options_chart(0.02, "png")

Portfolio Optimization

from finalytics import Portfolio

portfolio = Portfolio(["AAPL", "GOOG", "MSFT", "BTC-USD"], "^GSPC", "2020-01-01", "2022-01-01", "1d", 0.95, 0.02, 1000, "max_sharpe")
print(portfolio.get_optimization_results())
portfolio.display_portfolio_charts("html")

Project details


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