Daniel Rhodes Analista jefe

Areas of expertise
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Name: Daniel Rhodes
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Date of Birth: August 15, 1974
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Nationality: United States
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Current Residence: Lenox Hill, Upper East Side, Manhattan, New York City, NY 10021
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Email: daniel.rhodes@apolloalpha.org
Education
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Massachusetts Institute of Technology (MIT)
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Dual Bachelor’s Degrees in Applied Mathematics and Computer Science
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Minor in Behavioral Psychology and Cognitive Science
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Thesis: Dynamic Game Theory and Cognitive Bias Correction Mechanisms in Algorithmic Trading Systems
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2000 – 2008
Aurelius Capital Partners
He joined the core team of quantitative trading upon joining the company, led the development of multi-asset structural arbitrage models, and deeply participated in the research of global market intelligent risk control and high-frequency trading algorithms. His early theories on "group irrationality and system imbalance" have gradually been confirmed in actual market models.
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2008
Subprime mortgage crisis
Aurelius Capital collapsed due to excessive risk leverage and structural market stampede. Daniel experienced a major impact in his career and was silent for 2-3 years. During this period, he conducted in-depth research on the logic of systemic financial imbalance, human collective emotional mechanism and the origin of AI complex decision-making models.
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2011 – 2012
We return to the academic and think tank platform and unite a number of like-minded cross-border scientists, investors, and system architects to jointly incubate a new capital logic.
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2012
Officially founded Apollo Alpha Institute in Manhattan with four co-founders
Its core mission: Based on AI intelligent judgment system, integrating cognitive behavioral science, system complexity management, global impact investment and long-term capital governance, to create a new generation of intelligent investment and human future capital architecture laboratory. -
2011 – 2013
In the early days of the laboratory, they developed the first stable stock profit model based on AI sentiment analysis, behavioral finance and dynamic balance of multi-period systems. They successfully verified the stability of the model in a complex and volatile market and laid the foundation for the subsequent comprehensive iteration of the intelligent investment Rubik's Cube system.
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2016
The prototype of Apollo AI Investment Cube was born
In the complex architecture that integrates AI algorithms, human cognitive bias modeling and global asset systems, we have created a complete three-dimensional intelligent investment engine and put it into real-time internal testing.
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2016 – 2025
After six rounds of system evolution, the Intelligent Investment Cube System has become increasingly mature. It has completed global multi-market and multi-period simulation backtesting, entered the final performance data testing stage, and will soon be officially launched to the world's top capital management institutions.
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2019 – Now
Apollo Alpha Institute has become an important think tank and experimental ecological platform in the field of international intelligent capital governance, serving the construction of future ultra-long-term funds, sovereign wealth funds, family capital and impact investment ecosystems.
Core achievements
Proposed the theory of systemic financial imbalance of “cognitive bias accumulation-type market distortion”, redefining the essence of collective behavior behind market fluctuations
Founded the Apollo intelligent investment cube system, successfully integrated AI intelligent algorithms, human emotion recognition and system dynamic modeling, and formed the world’s leading intelligent investment framework
Took the lead in developing a stable stock profit model from 2011 to 2013, verified the risk adaptation and return smoothing capabilities of artificial intelligence in a highly volatile market, and laid the foundation for the core engine of the intelligent investment cube
Leading Apollo Alpha Institute to become an important position for global AI capital governance and systematic investment philosophy research, promoting the logic of intelligent capital to a wider range of application practices
Career Mission
Use artificial intelligence to illuminate the future of all investors.
Let investment no longer be a privilege for a few people, but a long-term wealth tool that every investor can rationally control. Through AI and systematic cognition, the complex financial world can be understood, controlled, and trusted, and capital can truly serve the common prosperity and sustainable happiness of mankind.
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