Research & Development

Being at the avant–garde of investment technologies

Dimteh is uniquely positioned to deliver on quantitative research projects. Our quantitative capabilities encompass global recruitment and data collection from simple, univariate needs to highly complex, multivariate surveys. Our quick turnaround offerings allow for quantitative results in as little as one week, while our ability to custom develop complex inputs such as chart studies and conjoint exercises is extremely robust.

June 2018

Artificial Intelligence

2nd generation of model

Several ideas and technologies was developed & introduced into forecasting algorithms to giving more precision in detecting and estimating the investment opportunities.
Another idea was introduced is the notions of scientific sentiments of mature innovation of the investments opportunities.
Finally, a Cooperative notion also introduced in the investment process that’s imply the investor in the investment decisional process.

January 2018

Tau optimization

7th generation of fractal algorithms

Research team developed a mix of optimization process to overcome several problematic such as “Stop loss” & “Entry point” imprecision. Trading results during 2018 reveals the power of the new developed technologies.

July 2017

Artificial Intelligence

1st generation of model

Designing AI forecasting algorithm in order to extract long term investment opportunities.
Our process is dedicated to analyse billions of financial & non financial data to predict financial markets behaviors at long term. (Big data – Emotion Analysis – Machine learning – Quantitative analysis – Quantitative Portfolio Management)

March 2017

The art of Quantitative trading

6th generation of Fractal algorithms

Create a new technologies in order to plot the probability map of probabilities. This mapping permit us to fix the real area of the right probability distribution.

February 2016

Forecasting power, Precision

5th generation of fractal algorithms

Introduce new technologies in estimating the system delay to measure the dimensions of micro-structure (increase Pattern accuracy, Input, Stop Loss, Extensions, Objective)

Optimize the power of route to chaos via the observed waveform (Fibonacci waves) (gain precision in expected pattern changes

Improve the oscillations time in order to increase the timing accuracy

Develop the concept of the Pivot Point between both scenarios

June 2015

Robustness & Time Optimization

3rd & 4th generation of models

Update mathematics tools to increase the accuracy & efficiency.

Use new technologies to optimize the estimation

Explore extra-signals

Scenario I (principal): Patterns, Objective & timing, Input & timing, Stop Loss, Extensions, Probability.

Scenario II (alternative): Patterns, Objectives, Extensions

Pivot point, Stress Test, Explanation of each scenario pattern

August 2014

Fractal trading concept and Extraction signals

2nd generation of models

Scenario I (principal): Patterns, Objective, Input, Stop Loss, Probability
Scenario II (alternative): Patterns, Objective
Explanation of each scenario pattern

January 2012

Daily & Weekly fractal algorithms design

1st generation