Finance @ Electraphysics
Inside the Machine
Quantitative models, algorithms, adaptive artificial intelligence and machine learning are at the core of MNLSH.
MNLSH design is based on the discovery of innovative data-types that are replicable and investable.
Experiment with MNLSH features by using your own customized test data.
Data Downloader
If you do not have asset data. Download data for thousands of companies traded in multiple markets with one click.
This data can be used to test research presented here.
Disclosed Research Implementations (113).
Currently Ported to Web (Web-Ready): 2
EPHYSICS: Volatility & Black Swan Spectrum.
EPHYSICS: Hyper Asset-Reorganization.