About Us
Market prediction science is a growing Artificial Intelligence (AI) field. Yet, while current technology offers impressive data processing and pattern recognition power, it still lacks specific market expertise.
Macrovesta has teamed up with a leading UK University to unite acute market awareness with advanced AI for highly specialised market prediction and analysis. Using cutting-edge AI methods, we are continuously testing and improving our existing mathematical models, which have been used effectively by our expert analysts for well over a decade.
This is the future of commodity analysis.
Our Story
The global commodities market needs a scalable approach to risk management and hedging strategies. For more than a decade, our analysts have been providing these services to a small group of large players across the global cotton supply chain.
In 2021, our analysts met with leading software and Artificial Intelligence technologists to strategise how their services could be scaled to help the wider market. Together we identified the opportunity to leverage market-leading expertise and services through software backed by Artificial Intelligence rather than traditional consultancy methods. Thus overcoming the physical limitations that have previously prevented scalability, despite reliable and in-demand services.
Meet our team
Jo Earlam
Chairman & Advisor
Jo set up his commodity consultancy business in 2009, having previously worked as a stockbroker dealer in the City of London. Jo has long advocated that fundamentals, technicals, and money flow are all essential ingredients in determining future price direction. A lifetime of working with futures and options has given him a sound understanding of markets as a whole.
Oliver Jobling
Managing Director
Since completing his masters degree in Innovative Manufacturing Engineering in 2017, Oliver has worked in communications and software development, focusing on the use of scalable technology to strengthen communication channels.
Nafisah Badmos
Data Science Lead
With a master's degree in data science and a wealth of industrial experience in artificial intelligence, Nafisah joined Macrovesta with an impressive record of solving complex problems with AI.
Victor Fernandes
Product Director
Victor joined EAP 4 years ago after finishing his business masters in America. In that time he has accumulated a wealth of knowledge on all aspects of the cotton market and deepened his knowledge in software development. His extensive market knowledge is applied to the development of Macrovesta to better service the entire cotton supply chain.
Gary Ferguson
Chief Financial Officer
Gary is a fully qualified CIMA accountant with over 25 years of commodity experience with specific focus on merchant accounting, treasury/ facility management and statistical market analysis. He developed the first version of the Macrovesta Market Prediction Database over a decade ago and has been integral to the 3 iterations that have followed.
German Perez
Software Developer
Germán specializes in crafting visually appealing and user-friendly interfaces, leveraging his frontend development skills. With additional proficiency in 3D and a background in mentoring, Germán brings a diverse skill set and valuable experience to the Macrovesta team.
Joe Maliszewski
CTO
With extensive expertise in cloud computing, Joe has built and deployed scalable, robust and secure applications. It's here, amidst the infinite possibilities of the cloud, that he discovered the true potential of machine learning and data science - the capacity to handle vast amounts of data and deliver insights of unprecedented depth and accuracy.
Harry Bennett
Commodity Consultant
Harry joined EAP in 2017, having previously worked for a wealth management firm in Hong Kong. Harry is a qualified cotton broker and Civil Engineer.
Ben Williams
Commodity Consultant
Having previously worked in logistics for a food ingredients trading company, importing and exporting products all around the globe, he comes with an in depth knowledge of shipping and the administration.
Simone Massardi
Junior Data Scientist
Simone grew up with a deep passion for science and mathematics, which led him to earn a degree in mathematics and a Master's in Data Science from the University of Milan. During his time there, he developed a strong interest in creating and optimizing predictive models and finding value within data.
Nick Newns
Commodity Consultant
Nick has been involved in the cotton and textile industries for nearly 25 years, trading raw cotton for Liverpool cotton merchant and then relocating to Singapore to run a sales desk concentrating on managing customers requirements in the South East Asian and Indian Subcontinent markets.
Our mission
To educate and assist farmers, processors, merchants and retailers in understanding the agricultural commodity markets, providing guidance on navigating global price fluctuations and minimising any negative impacts on their business. To do this Macrovesta is displaying data and insights from our Commodity Price Prediction system - a lightweight and explainable AI technology. This tool enhances market understanding and facilitates informed decision-making that affects the livelihood of agricultural professionals around the world.
In 2022, The World Bank and the US Treasury expressed concerns over increasing commodity market volatility and shortened seasons, which will have profound implications for developing countries over the coming decade. A more resilient supply chain for agricultural commodities can have a momentous impact on developing countries across the globe. Providing them with actionable insights is a crucial step towards achieving this goal.
Our digital platform enables organisations of any size to gain access to real-time market insights and forecasts. The platform leverages databases compiled over decades of research and analysis as well as new information derived from predictive technology.