THE INFORMATION CONTAINED ON THIS SITE IS FOR SOPHISTICATED INVESTORS, PRIMARILY THE EXISTING INVESTORS IN THE ASCEND FAMILY OF FUNDS. NO STATEMENTS MADE HEREIN OR BY OUR ASSOCIATES IN EMAIL OR OTHER COMMUNICATION SHALL NOT BE CONSTRUED AS INVESTMENT ADVICE. ASCEND CAPITAL MANAGEMENT, LLC AND ITS AFFILIATES ARE NOT LIABLE FOR DECISIONS MADE RESULTING FROM ANALYSIS HEREIN.
SHOULD YOU HAVE AN INTEREST IN INVESTING WITH ASCEND OR WISH TO LEARN MORE ABOUT OUR FUNDS, INCLUDING ASCEND CAPITAL (CAYMAN) II, L.P., YOU ARE FIRST REQUIRED BY LAW TO COMPLETE, FULLY AND ACCURATELY, ASCEND'S INVESTOR QUESTIONNAIRE. IF YOUR SUBMISSION IS APPROVED, YOU WILL BE REQUIRED TO READ AND ACKNOWLEDGE YOUR AGREEMENT WITH THE FULL SET OF DISCLOSURE DOCUMENTS ASSOCIATED WITH ASCEND CAPITAL MANAGEMENT, L.P. IF YOU ARE CONSIDERING INVESTMENT IN ANY OF OF THE ASCEND FUNDS OR AFFILIATES, YOU WILL BE HELD LIABLE FOR HAVING READ THE ASSOCIATED OFFERING MEMORANDUM AND ALL RELATED DISCLOSURE DOCUMENTS. ASCEND OR ITS SERVICE PROVIDERS MAY CONDUCT ADDITIONAL DUE DILIGENCE ON YOU PRIOR TO THE ACCEPTANCE OF ANY INVESTMENT. ADDITIONALLY, YOU SHOULD PERFORM YOUR OWN DUE DILIGENCE ON ASCEND OR ANY OF ITS FUNDS PRIOR TO MAKING INVESTMENT DECISIONS IN ANY ASCEND FUNDS.
INVESTMENT IN THE FUTURES, FORWARD AND/OR OVER-THE-COUNTER MARKETS THROUGH ASCEND OR ANY OTHER VEHICLE INVOLVES SIGNIFICANT RISK AND INVESTORS MAY LOSE ALL OF THEIR INVESTMENT WITH ASCEND OR MORE. PAST RESULTS ARE NOT NECESSARILY INDICATIVE OF FUTURE RESULTS OR PERFORMANCE. AN INVESTMENT WITH ASCEND IS SPECULATIVE, AND ANY PERSON SUBSCRIBING TO MAKE SUCH AN INVESTMENT MUST HAVE THE CAPACITY TO BEAR THE RISKS ASSOCIATED THEREWITH, AS SET FORTH IN THE ASCEND FUNDS' OFFERING MATERIALS.
THE CONTENTS INCLUDED IN THIS EMAIL ARE NOT INTENDED FOR DISTRIBUTION OR USE BY ANY INDIVIDUAL OR ENTITY IN ANY JURISDICTION IN WHICH THEIR DISTRIBUTION OR USE WOULD BE CONTRARY TO LOCAL LAW OR REGULATION OR WHICH MAY SUBJECT ASCEND TO REGISTRATION WITH THE JURISDICTION.
INFORMATION CONTAINED IN THIS MESSAGE, INCLUDING PRICING, VALUATION, AND COMMENTARY ABOUT SPECIFIC FUTURES, FORWARDS, OR OVER-THE-COUNTER DERIVATIVE INSTRUMENTS AND ANY COMMENTARY REGARDING SPECIFIC FUTURES, FORWARDS, OR OVER-THE-COUNTER INVESTMENT MARKETS, IF ANY, REFLECT'S ASCEND'S ANALYSIS AND OTHER INFORMATION AVAILABLE AT THE TIME THE MESSAGE WAS SENT, POSTED ON THE SITE, OR AS OTHERWISE INDICATED. WHILE ANY DATA, PRICING, VALUATION, COMMENTARY, OR OTHER ANALYSES CONTAINED IN THIS EMAIL ARE BELIEVED TO BE RELIABLE BY ASCEND, AND MESSAGES SHARED BY ANY INVESTMENT MANAGER OF ASCEND OR ITS AFFILIATED ENTITIES ARE ROUTINELY REVIEWED, ASCEND CANNOT AND DOES NOT GUARANTEE THE INFORMATION'S ACCURACY, TIMELINESS, OR COMPLETENESS AT THE TIME YOU REVIEW THE INFORMATION. ASCEND ENCOURAGES INDIVIDUALS AND ENTITIES TO PERFORM THERE OWN, EXTERNAL REVIEW AND DILIGENCE WITH RESPECT TO DATA OFFERED IN THIS MESSAGE. NEITHER ASCEND, NOR ANY OF ITS OFFICERS, DIRECTORS, OR EMPLOYEES, NOR ANY THIRD PARTY VENDOR WILL BE LIABLE OR RESPONSIBLE FOR ANY LOSS OR OTHER DAMAGES INCURRED BY YOU AS A RESULT OF RELIANCE ON INFORMATION CONTAINED HEREIN, WHETHER OR NOT THE CIRCUMSTANCES GIVING RISE TO SUCH CAUSE MAY HAVE BEEN IN THE CONTROL OF ASCEND, DIRECTLY OR INDIRECTLY (WITH RESPECT TO SOFTWARE AND DATA SERVICES AND SUPPORT PROVIDED BY THIRD PARTY VENDORS). IN NO EVENT WILL ASCEND OR ANY OF ITS THIRD PARTY VENDORS BE LIABLE TO YOU FOR ANY DIRECT, SPECIAL, INDIRECT, CONSEQUENTIAL, INCIDENTAL OR OTHER DAMAGES.
Existing clients? Log in here.
We utilize technological advancements in computer programming, data science, algorithms and machine learning to develop unique and differentiated investment strategies. Long before the term "big data" became ubiquitious, our founders were exploring ways in which we could capture, transform, and apply new and large datasets to enhance our understanding macroeconomic intricacies and to provide a source of informational advantage with respect to our stock selection process.
With the rise in availability of unstructured, semi-structured, and open-source structured data growing at an astounding pace, analysts and portfolio managers with the requisite coding, programming (R, Python), applied mathematics and advanced statistical skills can develop ways to answer some of the most controversial macroeconomic topics - the subject of debate for years - and more importantly, they can build simulation and predictive models with a significantly-greater ability to predict earnings performance and long-term fundamental results of potential long or short equity investments. This is referred to (loosely) as a "Quantamental" Investment Approach (utilizing botom-up, fundamentals combined with quantitative approaches to distilling masses of data into quantifiable conclusions).
"Quantamental" strategies apply the traditional skills of equity analysts and portfolio managers, those of humans that will always be needed to execute successful long-term investment strategies, while harnessing the value of big data and enhancements in data science and machine learning to dramatically enhance the predictive prowess of investment analysts.
With today's data munging, exploration, and manipulation techniques, our team of data scientists, analysts, and portfolio managers have a unique informational advantage derived from our ability to access and make sense of data that most cannot.
One of our key competitive differentiators comes from our ability to make sense of unstructured data, such as satellite imagery, geolocational data, social media, and data from sensory equipment measuring anything from the weight of containerships leaving China to the relative change in transportation and logistics activity during a given holiday season. After capturing and converting these data into usable datasets, we apply machine learning algorithms supported by rigorous statistical analyses to make and test research hypotheses that can be used to our advantage in the investment decision-making process.
We may also use advanced algorithms and neural networks to mine large datasets that may be able to identify patterns or relationships unobservable to the human eye.
"No man is better than a machine ... and no machine is better than a man with a machine."
- Paul Tudor Jones
Though our ability to harness the big data and internet of things to enhance the investment process through better data insights and analysis, the human element is critical to long-term, consistent investment results. Good portfolio managers have experience; they understand the irrational underbelly of capital markets, as well as their own (and their analysts) behavioral biases and inherent limitations. With this knowledge, we can now teach machines with self-learning algorithms how to deal with Mr.Market's irrational, emotionally-charged schizophrenia. Ultimately, those who don't keep pace with innovations in data science and combine them with traditional analysis will be left in the dust.
Seeking data scientists or experienced fundamental, long/short equity analysts with Python coding skills and a strong statistical background to join the investment team. If you feel you may be qualified, please send your resume to firstname.lastname@example.org.
UNITED STATES: +1 (415) 851-8890 GRAND CAYMAN, CAYMAN ISLANDS CARACAS, VENEZUELA
4:00am to 4:00pm PST