We Navigate Financial Markets

by believing in data driven decisions

61+
Strategies
45+
Sectors
90+
Performance

Who we are

Edgebridge, an alternative investment fund, engages in global investments across publicly traded markets, placing a primary emphasis on equities, ETFs, and selecting OTC markets such as FX. Our commitment lies in making data-driven decisions, guided by an A.I. methodology rooted in LLM's principles and Grasshopper—an inventive approach to portfolio management.

Founders

Manuel Padrón Martínez

Manuel Padrón Martínez

Founder

Manuel brings over a decade of experience in financial markets, alternative investments, and proprietary trading. As Entrepreneur he is also Founding Partner of Momento Capital and Creafyn. He holds a Bachelor's in Financial Management from Instituto Tecnológico y de Estudios Superiores de Monterrey and a specialization in Financial Markets from Instituto de Estudios Bursátiles, Spain.

Federico Domínguez

Federico Domínguez

Founder

Federico brings over three decades of experience in the financial and tech sectors to the forefront of advanced AI and machine learning-driven trading strategies. An AI fintech pioneer in Latin America, he offers bespoke, transparent AI trading solutions for retail investors, with the goal of making financial markets accessible and empowering investors with data-driven insights.

Federico Domínguez Molina

Federico Domínguez Molina

Founder

Federico is a Data Scientist and Data Engineer passionate about drawing insights from structured and unstructured data. He holds an Economics degree from ITAM and a Masters in Computational Analysis and Public Policy from the University of Chicago. His technical stack includes Python, R, AWS, SQL and Git.

Approach Background

Investment Approach

Welcome to Edgebridge, where the synergy of cutting-edge technology and strategic expertise defines our commitment to innovation. Positioned at the forefront of the financial landscape, we seamlessly integrate quantitative methods, generative artificial intelligence, and machine learning algorithms to adeptly navigate diverse industries.

Investment Thesis

At Edgebridge, we understand the power of data-driven decision-making. Our advanced algorithms not only identify opportunities but also effectively manage risks. By merging quantitative precision with the generative A.I.'s ability to uncover patterns, our fund stands out in creating strategies engineered for high-risk-adjusted returns.

Quantitative MethodsGenerative AIMachine Learning

Strategies Description

Systematic Strategies

Active Equity Investments powered by Generative AI algorithms that continuously adapt to market conditions.

Discretionary Strategies

Asset-Backed Strategies that leverage expert analysis combined with data-driven insights.

Our dynamic approach sets us apart as we meticulously craft unique strategies grounded in market tendencies and thematic insights. This enables us to stay ahead of the curve and capitalize on emerging opportunities.