Finance @ Electraphysics

At Electraphysics, algorithmic black-boxes colloquially referred to as "robots" are engineered to execute investment decisions.

Algorithms, quantitative models, adaptive artificial intelligence and machine learning are at the core of our return generating systems.

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

Experiment with research in advanced portfolio management and finance; using customized test data and MNLSH.

Finance professionals without a strong background in advanced mathematics may find implementation of research very challenging.

Electraphysics has done this for you.

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

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

If you do not have test data, you may use stored historical data from MNLSH from 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):  1  Pending: 112.

Cornish-Fisher Conditional Value At Risk

This area is under development.