The release includes `BtEngine` and `BtStrategy` to enable backtesting capability with a pipeline being developed to automatically backtest optimized portfolios from `Markowitz` and `nCrOptimize`.
1.2.0beta
Increased the assertions and error check in all modules. Moved the caching modules to the single `Cache.py` file and refactored the classes to have a layer of abstraction by inheriting common functions from the new `CacheConstructor` class.
1.1.1beta
This release includes the `nCrResult` custom type as the return of the `nCrOptimize.optimize_space` method. `nCrResult` extends the standard python `list` type and provides added functionality around visualization and report compilation regarding the outcome of the weight optimizations.
1.1.0beta
This release incorporates the `nCrEngine`, `nCrOptimize`, `PortfolioCache`, and `nCrCache` modules to allow access to the beta release of the combitation optimization functionality.
1.0.2beta
Fixed an issue with `FinBERT` label ordering. Switched `labels={0: "negative", 1: "neutral", 2: "positive"}` with `labels={0: "neutral", 1: "positive", 2: "negative"}` to follow convention.
1.0.1beta
This is the initial release of the `NeoPortfolio` package that aims to extend the functionality of MPT and adjust the theoretical methodology from 1952 to todays standards through ML and automation.