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Crystal Shore Dashboards crystal ball logo with slogan: Less risk. More return.

Smart data delivered to your desktop. Systematically.

We run 528 investment engines on 2.2 million individual data points. Each data point represents the daily closing price of a specific security, asset or market. Each engine embodies a specific strategy for evaluating the risk of a set number of securities, assets and markets. The price data that we feed into all of these engines stretches back a minimum of 750 market days. 

Runs like clockwork.

Swiss made.

QUADCORESYSTEMARCHITECTURE

We run four separate investment engines underneath every single market.

Hand-crafted.
With purpose.

We design, develop and code all of our strategies in-house. The process is human intensive: we manually cycle, step by step, through a virtually unlimited combination of financial factors across multiple markets and assets. The goal is to unlock promising paths of parameter design. All of this research and development is executed on a programmable platform that was also designed and developed in-house.

Snapshot of key numbers

multi-factor investment engines

528

years of market data for R&D

1,410

single stocks and commodities evaluated weekly

1,584

lines of code

49,560

years of system development

12

year track record

9

Multi. Factor.

The traditional measures of risk are essentially based on one single factor: the dispersion of returns. But we have discovered –the hard way– that no single factor operating in isolation is going to solve the risk equation. Our solution lies in getting multiple factors to work in combination. We call this a multi-factor, algorithmic approach to the study of risk.

Contact us to learn more about these factors.

Factor 1

Factor 2

Factor 3

Factor 4

Factor 5

Factor 6

Factor 7

Factor 8

Factor 9

Factor 10

Factor 11

Factor 12

Factor 13

Factor 14

Factor 15

Factor 16

Factor 17

Factor 18

Factor 19

Factor 20

Factor 21

Factor 22

Factor 23

Factor 24

Maximize success. Minimize failure.

There is safety in numbers. We therefore have multiple engines at work on any given market or asset. So if one specific strategy stops working, then the other three strategies will be there to ensure a successful evaluation of the asset or market.

Over the years, we have made a number of upgrades to our engine architecture. We are currently running Generation 21.

Generational system upgrades

GEN 1

September 2012

Risk-based, top-down

GEN 2

January 2014

Risk-based, bottom-up

GEN 3

June 2014

Multi-factor risk analysis

GEN 4

July 2015

Dual-core long-short

GEN 5

August 2016

Quad-core long-short

GEN 6

March 2018

Dynamic score weighting

GEN 7

April 2019

88 new investment engines

GEN 8

May 2019

Analog-to-digital scoring

GEN 9

January 2021

60 new investment engines

GEN 10

February 2021

Analog-to-digital scoring 2.0

GEN 11

March 2021

Optimization of market data

GEN 12

November 2021

Single commodity scores

GEN 13

January 2022

Single stock risk scores

GEN 14

May 2023

Quintile stock rankings

GEN 15

June 2023

Commodities paired to futures

GEN 16

July 2023

29 new commodity markets

GEN 17

January 2024

Deep Value stock selection strategy

GEN 18

January 2024

Single stock Short Selling strategy

GEN 19

April 2024

New equity engine selections

GEN 20

April 2024

New commodity engine selections

GEN 21

June 2024

New commodity score generation

GEN 22

July 2024

Fast Risk Strategy

GEN 23

August 2024

Quad-core engines on single stocks

1

Alternative data. For actionable insights.

2

Point-in-time data. Mapped to tickers.

3

Real-time data. With zero lag.

4

Reliable delivery. Via email or AWS S3 buckets.

4 key benefits for users

Simple engines.

Simple in construction.

Unified engines.

Unified parameters for maximum robustness.

I. Valuation

The following engines place a premium on the valuation (the price) at which the securities underlying a market can be purchased.

Different by design.

Smoothed engines.

Smoothing the data prior to processing.

Inflected engines.

Targeting the points of risk inflection.

II. Risk dynamics

The following engines place a premium on the risk characteristics of the securities underlying the market.

The universe with millions of stars, a fitting image for the 2.2 million data points systematically analyzed by Crystal Shore Dashboards every week.

528
INVESTMENT
ENGINES

2.2
MILLION
DATA POINTS

528InvestmentEngines

2.2MillionData Points

Location

Rue de l'Industrie 10

1950 Sion, Switzerland

Tel. +41 79 333 0310

© 2035 by Crystal Shore Dashboards.

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