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Releases: mbk-dev/okama

get_monte_carlo method in EfficientFrontier

23 Dec 05:21

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  • new get_monte_carlo method in Efficient Frontier class
  • CAGR is calculated in Efficient Frontier / plot_assets instead of "CAGR by approximation"

New methods to work with distributions

16 Dec 10:17

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Kolmogorov-Smirnov test method (kstest) for Portfolio and AssetList.

New forecasting methods for Portfolio:

  • percentile_inverse
  • percentile_from_history
  • forecast_wealth_history
  • forecast_monte_carlo_cagr
  • forecast_wealth

Some of the old forecasting methods are renamed.

New Plotting methods for forecasts in Portfolio:

  • plot_forecast
  • plot_forecast_monte_carlo
  • plot_plot_hist_fit
  • plot_percentiles_fit

New notebooks with examples:
04 backtesting distribution.ipynb
05 forecasting.ipynb

distribution backtesting

08 Dec 05:52

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New methods for distribution backtesting in AssetList and Portfolio:

  • skewness
  • skewness_rolling
  • kurtosis
  • kurtsis_roling
  • jarque_bera

Index fund methods

01 Dec 04:46
b333fdd

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New methods to compare ETFs with index (benchmarks) in AssetList:
- tracking difference
- tracking difference annualized
- tracking error
- index correlation
- index rolling correlation
- index beta

technical release

21 Nov 12:13
c704d19

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v0.87

Update README.md

technical release

21 Nov 11:35
7fd8764

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v0.86

Update README.md

numpy<=1.19.3

21 Nov 11:21

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v0.85

numpy<=1.19.3

verbose mode for EfficientFrontierReb

21 Nov 10:58

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updated requirements

20 Nov 05:04

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v0.83

- v0.83

stable version

19 Nov 08:20

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v0.81

setup.py with correct classifiers