Finance @ Electraphysics

Inside the Machine

Quantitative models, algorithms, adaptive artificial intelligence and machine learning are at the core of MNLSH.

Electraphysics model design is based on the discovery of innovative data-types that are replicable and investable.

Experiment with MNLSH features by using customized test data.

Explore how MNLSH implements, utilizes and ensembles concepts for superior portfolio and risk management.

MNLSH utilizes 500+, non-proprietary and proprietary research implementations, designed over 14 years.

If you do not have high-quality data to test with.  Get stored data from MNLSH by using the data-downloader.

Data Downloader

If you do not have asset data, you are welcome to use ours.  MNLSH has data for thousands of companies traded in multiple markets and exchanges, available to you here for free.  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.