MILANOURLIZASHERHEER

The Electraphysics MNLSH algorithm is our flagship technology.

 

A robotic. trading and portfolio management algorithm developed over 14 years of scientific, economic and risk research.

 

MNLSH is essentially a compound interest machine.

 

A system designed to achieve financial returns on capital.

What is the MNLSH Algorithm?

 

 

Electraphysics MNLSH is an algorithmic black-box (machine) that manages assets in global financial markets.

 

It manages a system of neural networks and adaptively evolves by learning from mistakes.

 

MNLSH is made up of 5 distinct algorithms:

 

  • MILA       - Foreign Exchange.
  • NOUR     - Crude Oil and Natural Gas.
  • LIZA        - Crypto and Digital Currency.
  • SHER       - Equities and Indices.
  • HEER        - Precious Metals.

 

Each manage a different class of assets and work together tactically for superior portfolio and risk management in one system.

 

 

Self-Optimization

 

MNLSH utilizes real-time stochastic gradient descent.

 

Efficiently calculating permutations of adaptation for self-optimization in artificial intelligence.

 

MNLSH continuously self-optimizes to operate in changing market regimes.

 

Intelligent Decision-Making

 

MNLSH's neural networks consider the "what ifs" of alternative trading decisions.

 

Analyzing the outcomes and consequences of decisions, MNLSH tests and verifies over historical data, deriving logical conclusions.

 

This analysis determines the paths in the present that are ideal for learning, most importantly - why.

 

Tactical Capital Management

 

 

 

MNLSH's tactical use of multiple strategies, algorithms, mathematics and psychology determines the best trades to make, as seen in a chess game.

 

It does not possess human fallibilities such as Fatigue, inconsistency, emotions of fear and greed.

 

During its' experience, it has created a statistical memory of positive and negative decisions both qualitatively and quantitatively defined.

 

 

Technical Strategy

 

MNLSH analyzes major technical indicators but does not rely on indicators.

 

Its' decisions are based on tactical probabilities.

 

MNLSH examines data to uncover the existence of strategies embedded in price behaviour for defensive, offensive and counter procedures.

 

Upon detection of an embedded strategy in price behaviour, MNLSH will create itself a new strategy mix into the portfolio.

 

Automatically allocating capital and conducting portfolio re-balancing.

 

A few of its' tactical strategies are direction-less:  Market-neutral, hedged and arbitrage.

 

Historical Analysis

 

 

Electraphysics MNLSH travels to past historical data, considers new decisions, acts upon them and determines the result.

 

In a concurrent state of back-test, forward-test and present live-trading.

 

MNLSH is in three states simultaneously.

 

In its' data-centric, statistical world, its' algorithms exist in multiple dataset time frames.

 

Analyzing hypotheses in the past, present and future.  It shares information between itself in these three-time frames simultaneously and instantaneously.

 

MNLSH is in a state of continuous portfolio self-optimization.

 

Acquiring important data about surrounding economic conditions in multiple markets, assessing statistical correlations and building sentiment-consensus profiles.

 

It creates and monitors a regime delta.

Linguistics, Text & Macroeconomics

 

 

MNLSH can not just read but understand the news, utilizing a mechanism of statistical word frequency clustering and implementing classical techniques of recursive parsing in grammar.

 

This filter assists its' understanding of human languages, codifying market behaviour and reactions to form a unique psychological index.

 

Considering Macroeconomics from a variety of sources, it develops a unique sentiment index.

 

Able to comprehend language for knowledge but also identifying embedded intrinsic psychology.

 

This area of comprehension of language in its' design is based on research in theories of 2nd-language acquisition in linguistics and subjective interpretation problems found in philosophy.

 

Physical Hardware & Network Connectivity

 

Electraphysics MNLSH algorithm runs on a 96 Core Server with 192 threads.

 

(The average high-performance desktop computer has 4 cores).

 

Electraphysics' hardware is in Windows Enterprise Server configuration with:

 

  • Supermicro SuperServer 8048B-TR4F Tower/4U MP Xeon E7-4800/8800 with Redundant 1400W Power Supply
  • 4x Intel Xeon E7-8890 v4 2.20GHz (3.4GHz TB) 165W 60MB L3 (96 Cores / 192 Threads)
  • 4x Dynatron R14 60mm 2 Ball Intel Sandy Bridge Romley-EP/EX Narrow ILM CPU Fan
  • Antec Nano Diamond Thermal Compound Formula 7 w/ Diamond particles
  • Supermicro X10QBL-4 Server Board Quad Xeon E7 LGA 2011 Super Motherboard
  • 2048 GB (32 x 64 GB) 288-Pin DDR4 SDRAM 2400 (PC4-19200) ECC Server Memory
  • Crucial MX300 275GB SATA III 3-D Vertical Internal Solid State Drive (SSD)
  • SAMSUNG 860 Pro Series 2.5" 4TB SATA III Solid State Drive (SSD)
  • LSI MegaRAID┬« SAS 9361-8i 12Gb/s SAS and SATA RAID controller W/ 1GB DDR3 1866MHz Cache Memory
  • Intel X520-DA2 Dual SPF+ Ports 10 Gigabit Ethernet Converged Network Adapter - Fiber Optics
  • CyberPower 1500PFCLCD Dedicated UPS system.

 

The Electraphysics MNLSH algorithm has an average up-time of 99.9% and is connected to multiple cellular and fiber-optic data-pipelines to major exchanges worldwide.

 

In the event of global crises such War, terrorist threat, cyber threat, financial/economic crises, black-swans and geopolitical uncertainty.  MNLSH is prepared to manage unpredictable challenges.

 

 

Performance

 

 

 

During the last 10 years of operation, Electraphysics has successfully turned over 100,000+ trades.

 

View Electraphysics base performance statistics.

 

 

 

 

Datafeed

 

About Us

 

Algorithm

 

Team Access

1 Dundas St

Toronto, Canada

Yonge-Dundas Square

International Tel:  1-800-729-0631

Conference Lines  Cisco WebEx

Monday to Friday 9 AM - 4:30 PM EST.

 

 

Shop Products

Datafeed | Membership