Harnessing AI to Deliver
Exceptional Systematic Returns
in The Financial Markets

Harnessing AI to Deliver Exceptional Systematic Returns in The Financial Markets

About us

Deep Edge Fund was set up to capitalize on unique, one-of-a-kind breakthroughs made in Machine Learning and AI. Breakthroughs that we believe allow us to produce extraordinary returns trading financial markets.

As fund’s managers, we have more than 40 years of combined experience in the fields of AI and trading:

Amit Antebi – an industry-leading Machine Learning and Algorithms expert, and a seasoned tech entrepreneur. Previously, Amit directed algorithmic development at a quant-trading company and co-founded two tech startups.

David Khotoveli – a professional trader with 15 years of experience, 10 of which were spent trading derivatives at some of Israel’s largest Investment and Prop-Trading firms.

the fund

Deep Edge Fund is an algo-trading, medium-frequency hedge fund based on Machine Learning, that aims to produce exceptional returns, uncorrelated to major indices, and regardless of market conditions.

The fund makes short-term trades in some of the most actively traded Futures on CME: Equity Indices, Commodities, Currencies and Treasuries – allowing for scalability and efficient risk management.

Dozens of unique automated strategies used by the fund run simultaneously and constantly scan the markets to exploit statistically profitable opportunities, whether it’s a bull or bear market.

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The edge

Tight Risk Management

Adaptive Strategies

3+ Years of R&D

Unaffected By Market Direction

Flat On Weekends

Uncorrelated To Major Indices

Flat On Weekends

Uncorrelated To Major Indices

Contact Us


10 Eliahu Berlin St, Tel Aviv, Israel


+972 54 4356996



The information presented herein is provided strictly for informational purposes and is not intended and does not constitute a distribution, an offer to sell or the solicitation of an offer to buy any securities or other financial instruments (hereinafter: “Financial Instruments”) in any jurisdiction. The information presented herein is not intended to provide a basis for any evaluation of Financial Instruments discussed hereon, or to constitute investment, legal, tax or accounting advice, and should be regarded as indicative, preliminary and for illustrative purposes only. Subscription for any Financial Instruments will only be made on the basis of a legally binding offering documents including a Subscription Agreement, Partnership Agreement, and various supplements, containing important information regarding risk factors, performance and other material aspects, and which should be carefully reviewed and considered independently by prospective investor. Any such offer of Financial Instruments is restricted to only a limited number of investors (35 investors or less during any given 12-month period) selected in a manner determined by the presenting entity managers, and/or those categories of investors, listed in the First Addendum to the Israeli Securities Law. The provision of information herein is not based on your individual circumstances and should not be relied upon as an assessment of suitability for you of a particular product or transaction. This presentation may contain forward looking statements including statements regarding our intent, belief, or current expectations with respect to our businesses and operations. Readers are cautioned not to place undue reliance on these forward-looking statements. We do not undertake any obligation to publicly release the result of any revisions to these forward-looking statements. Past performance is not a guarantee or indication of future results. With respect to the information presented herein, neither the presenting entity nor any of its officers, employees, or representatives, makes any warranty or representation, whether express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information so disclosed. The information contained herein are proprietary, restricted, and privileged material. Such material may not be used without prior authorization. All rights reserved.