Backtest modules release

The release includes BtEngine and BtStrategy to enable backtesting capability with a pipeline being developed to automatically backtest optimized portfolios from Markowitz and nCrOptimize.

Error Handling and Cache Refactor

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.

`nCrResult` Module release

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.

Automated Portfolio Selection

This release incorporates the nCrEngine, nCrOptimize, PortfolioCache, and nCrCache modules to allow access to the beta release of the combitation optimization functionality.

Sentiment bug fixes

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.

First Release

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.