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Dynamic Portfolio Optimization
We develop and construct asset portfolios optimized & tailor made for different levels of investor’s risk tolerance. We propose & continuously monitor & readjust 5 different portfolios which assume 5 different risk tolerance levels, from very conservative to aggressive. Our methodology goes beyond traditional portfolio optimization techniques, taking advantage of Big Data Machine Learning prediction & clustering algorithms running on the cloud. Our suggested portfolios consist of ETFs representing Indices, Currencies, Sectors, Countries, Commodities and other assets.
Trading Signals
We analyze & model various asset markets & produce trading signals for a number of different assets based on our Machine Learning prediction algorithms. Our models analyze Big Data from more than 12 different data sources of Fundamental, Market data & news and produce exact trading signals for individual assets or clusters of assets with high probability of success. Our signals have a horizon of some days to one year the most and can be used either as stand-alone suggestions or preferably under a bigger decision making framework with certain risk management rules.
Custom Solutions
We develop & provide tools & services to institutional investors, hedge funds, corporations & family offices in order to enhance their asset allocation & performance capabilities. Our team has the right blend of Artificial Intelligence tools & investment expertise with proven track record.
Crypto Services
We combine a series of skills & expertise (Machine Learning/Artificial Intelligence, Portfolio Theory, Technical Analysis, DeFi comprehension) and have created three crypto portfolios for every risk profile (Conservative, Moderate and Aggressive), categorized by their anticipated risk tolerance.
Newsletter
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Markets
We cover the USA, Europe and Asia markets, and the financial instruments we focus on are:
- Indices
- Futures
- Stocks
- Commodities
- Options
- FX
- ETFs
Technology
We aggregate millions of data points from more than 12 different data sources and use a combination of machine learning algorithms for regime detection, sentiment analysis, clustering, cointegration and Hidden Markov Models development in order to produce high probability trading signals of certain risk/reward characteristics.
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Profile
We are a team of experts in Artificial Intelligence, Computational Finance & Finance with more than 25 years trading experience each, having worked in Hedge funds, big corporations, research institutes & academia. We operate from London, New York, Athens, Cyprus & are incorporated in Cyprus.
Contact Us
Here’s how to contact us to ask questions, give praise, request features, and more.
For general inquiries: info@a-quant.com