Welcome
to the future of
financial forecasting

“Truth - more precisely, an accurate understanding of reality - is the essential foundation for producing good outcomes.”

- Ray Dalio
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About Us

About Us.

About Us

Believing that Artificial Intelligence (AI) will profoundly change the world of finance, we push the boundaries of AI in the field of financial market forecasting. We develop fully automated high-precision trading systems that are capable of creating systematic returns that professional traders and rule-based algorithms currently cannot match.

Based in Switzerland, we successfully apply our trading systems to global financial markets as well as the crypto-currency ecosystem and provide our partners with impressive returns along with minimal downside risk.

Groundbreaking Research
Put Into Action

Revealing Market Forces

By decomposing financial data into its underlying components, we bring to light hidden market inefficiencies and predict future price moves.

Combining the Best Asset Classes

Unique technological breakthroughs enable exceptional trading performance in both traditional securities markets and the crypto-currency ecosystem.

Achieving Outstanding Results

Our specialized AI trading algorithms analyze news, price data, and crowd sentiment to greatly outperform the market average.

Cost Efficiency & Regulatory Compliance

Full end-to-end automation eliminates human error and conflicts of interest and ensures utmost transparency.

Services
AI Based Extraction
Our market forecasting system decomposes financial data into the underlying empirical, psychological and emotional components. This enables us to find previously unknown dependencies and inefficiencies in markets.
Derivation of Optimal Trading Strategies
In addition to analyzing massive data sets with incredible speed and accuracy, our systems autonomously learn an optimal behavior based on risk and rewards. Our algorithms can anticipate crowd emotions and market actions before they occur.
Portfolio & Risk Management
Individual trading signals are coordinated to ensure all portfolio assets have maximum statistical independence, minimizing multi-asset variance and overall risk. All trading systems adhere to specific pre-defined risk/return levels and use strong diversification, hedging, and sensitive stop-loss mechanisms to secure portfolio value and mitigate the impact of heavy-tailed (“black swan”) events.
Fully-Automated Real-Time Trading
All employed modules — from data ingestion, data processing, and portfolio/risk management to trade computation and order execution management (OEM) — are fully automated and require no human interaction, thus allowing our systems to simultaneously monitor, analyze, and trade thousands of different assets in different markets and exchanges.
Visualising Complex Market & Patterns
We provide real-time interfaces for accessing the unique patterns and dependencies uncovered by our financial analytics framework. On a high level, this includes market correlations, risk assessments, ROI forecasts, and more; on a lower level, our dashboards provide detailed trading signals, exact position sizes, entry price and stop-loss values, recommended order types, and more - all of which are generated by AI systems to achieve excellent returns and minimize associated risks.
Ensuring Regulatory Compliance
Through a seamless automation of all compliance functions, human error and conflicts of interest are eliminated while ensuring detailed documentation and traceability of every decision and execution step.
Investing in Traditional and New Asset Classes
Our technical infrastructure enables our partners to participate in the overall growth of the crypto-currency ecosystem while exposing portfolios to minimal systemic market risk and preserving equity even in a sustained bear market.
Services
Our market forecasting system decomposes financial data into the underlying empirical, psychological and emotional components. This enables us to find previously unknown dependencies and inefficiencies in markets.
In addition to analyzing massive data sets with incredible speed and accuracy, our systems autonomously learn an optimal behavior based on risk and rewards. Our algorithms can anticipate crowd emotions and market actions before they occur.
Individual trading signals are coordinated to ensure all portfolio assets have maximum statistical independence, minimizing multi-asset variance and overall risk. All trading systems adhere to specific pre-defined risk/return levels and use sensitive stop-loss mechanisms to secure portfolio value and mitigate the impact of heavy-tailed (“black swan”) events.
All employed modules — from data ingestion, portfolio/risk management to trade computation and order execution management (OEM) — are fully automated and require no human interaction, thus allowing our systems to simultaneously monitor, analyze, and trade thousands of different assets in different markets and exchanges.
We provide real-time interfaces for accessing the unique patterns and dependencies uncovered by our financial analytics framework. On a high level, this includes market correlations, risk assessments, ROI forecasts, and more; on a lower level, our dashboards provide detailed trading signals, exact position sizes, entry price and stop-loss values, recommended order types.
Through a seamless automation of all compliance functions, human error and conflicts of interest are eliminated while ensuring detailed documentation and traceability of every decision and execution step.
Our technical infrastructure enables our partners to participate in the overall growth of the crypto-currency ecosystem while exposing portfolios to minimal systemic market risk and preserving equity even in a sustained bear market.
Technologies

Deep Learning

Highly specialized Deep Neural Networks are key to many of our scientific breakthroughs and enable impressive trading returns.

AI Trading 2.0

To ensure outstanding performance for our forecasting systems, we go beyond traditional statistics, optimization, and machine learning approaches and develop all algorithms from scratch, combining insights from a multitude of scientific fields.

GPU Computing

Different parts of our machine learning, analytics, and trading pipeline have been designed to run on GPU hardware for maximum performance. Custom CUDA kernels were developed to improve AI training speed and model response times.

Natural Language Processing

We use NLP to parse every relevant white paper, news article, or Twitter post available on the web to create the most comprehensive view of current and future market sentiment.

Market Decomposition

Price charts are a superposition of many independent signals. Our innovative AI system enables us to decompose market data into its underlying components (specific news, market makers, crowd behavior, etc.) to make much more precise predictions.

BACKTESTING

Large amounts of market data and news along with algorithmically enriched meta-information are collected to get a complete snapshot of the financial world at any point in time to ensure maximum reliability and a predictable live performance of all developed trading systems.

Big Data Visualisation

State-of-the-art techniques, including time-series frontends, AI indicators, and subspace projection methods (e.g., Non-Negative Matrix Factorization, PCA, t-SNE, and ISOMAP) display valuable market insights and enable fine-grained reporting of all generated AI decisions.

Secure On-Premises Infrastructure

All storage and software services are deployed on geographically redundant premises and are configured for high availability. NIST-compliant encryption is used for all communication channels. Our custom-built hardware is locked and biometrically secured inside specialized data centers.

Team

KIRILL
RUBINSTEIN

CEO, Co-Founder
       Kirill's background combines several areas of interest: Risk Modelling,  Marketing, Product Management and Blockchain Technology. He applied his expertise as a leader in Automotive, IOT and SmartHome projects. He was responsible for large R&D projects in the Insurance sector subsidized by the German government.  

Kirill holds a MSc degree in Finance Mathematics.

Matthias
Hüberli

Board Member
     After being granted MSc in Law in St. Gallen, Matthias worked as an auditor at the Cantonal Court of Zug and as lawyer for a Swiss bank. After being a partner in a renowned law firm for several years, he founded his own practice.

Matthias offers expertise in areas such as International Business Law, Financial Markets, IT and Stock Corporation Law.

MONIKA
REISIG

Business Development
  During her studies, Monika gained experience in classical and agile project management and completed an apprenticeship as an IPMA Level D Project Management Associate and a Scrum Master.

She also has a profound understanding of Human Resource Management and Business Development. Monika holds a MSc degree in Business Psychology.

THOMAS
SCHMIEDEL

CTO, Co-Founder
      Before co-founding his own company, Thomas was responsible for the Data Science business unit at a large Munich-based consulting company.  

Thomas holds a MSc degree in Computer Science and has profound knowledge in areas such as Big Data, Machine Learning, Neural Networks and Distributed Ledger Technology.

DANIEL
REBHORN

Board Member
      Daniel is a serial entrepreneur having 25+ years of experience with every aspect of the tech startup lifecycle. Diconium, his last co-founded company, was acquired by Volkswagen in 2020 and is now an important part of VW’s future digital strategy.

He is an expert in the field of Digital Transformation and publishes as an author on the subject.

STEFAN
SCHINDLER

Blockchain Advisor
       As former CTO of Genesis Mining, Stefan has dedicated more than four years building the global future of digital currencies. He is now CEO of his own company Munich Blockchain Capital, which he founded in 2018.
 
Stefan studied Medicine and worked as a surgeon before he discovered his passion for the Blockchain ecosystem.
Contact Us
phone
+41 (0)44 787 15 76
address switzerland
Rubinstein & Schmiedel AG
Sihleggstrasse 23
8832 Wollerau, Switzerland
address germany
RS AlphaSense GmbH
Weißenseestraße 114
81539 Munich, Germany
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