In simple English
Okama is a Python toolkit for analyzing investment portfolios and stock performance. It downloads historical market data, inflation rates and currency exchange rates for free. You can use it to test different asset mixes, run risk calculations and forecast future returns. It is made for developers and quants who want to build custom financial models. You need some Python knowledge to set it up and run the scripts.
What it is
Okama is an open-source Python library for investment portfolio analysis, optimization and macroeconomic data querying. It provides classes for individual assets, asset lists and multi-asset portfolios to run backtests, Monte Carlo simulations and Efficient Frontier calculations.
What it is good for
This is good for solo builders creating investment dashboards, personal finance tools or quantitative trading scripts. It removes the need to write custom data parsers or math routines for modern portfolio theory.
- Access to free historical end-of-day market data, currencies and macroeconomic indicators.
- Built-in portfolio optimization with Markowitz Mean-Variance Analysis and multi-period rebalancing.
- Comprehensive risk metrics and Monte Carlo simulation tools included out of the box.
- Requires Python programming skills and familiarity with data science libraries like pandas.
- Relies on external free data sources which can occasionally change or experience downtime.
- Memory needs grow when running large Monte Carlo simulations across many assets.
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pip install okama