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Opes Borsa Technologies

Oxford, United Kingdom (UK) · Finance and Banking

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#machine learning

#quant finance

#wealth management

#asset management

#financial markets

#portfolio optimization

Opes Borsa Technologies is a Finance and Banking company based in Oxford, United Kingdom (UK), with 2-10 employees. Opes Borsa Technologies's profile is verified on Enterprise League.

Overview

Opes Borsa Technologies is a London-based financial deep tech startup revolutionizing investment strategies with AI-powered tools. We provide institutional-grade quantitative solutions to individual investors and institutions alike, transforming complex market data into actionable intelligence. Leveraging machine learning, our platform delivers predictive analytics for global equities, commodities, indices, and crypto markets, alongside dynamic portfolio optimization systems. Built on a foundation of financial inclusion and technological rationality, Opes Borsa empowers investors to navigate market volatility with clarity and confidence. We are dedicated to removing emotional bias and providing data-driven insights, fostering a more informed and strategic approach to investing.
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Contact Details

info@opesborsa.com

Oxford, United Kingdom (UK), Oxford Science Park

Company Type

Private Limited Company

Employees

2-10

Categories

Financial Services
Finance

Keywords

#machine learning

#quant finance

#wealth management

#asset management

#financial markets

#portfolio optimization

Awards

• 2026 OpenSee all

Services

Default Product Image
AI News Sentiment
Financial Services

Catch the mood of the market with machine-classified headlines using our proprietary NLP models separating signals from noise. This service provides a comprehensive overview of market sentiment across various asset classes.

N/A

Default Product Image
AI Trend Signals
Financial Services

Receive precision-engineered trend signals for stocks, commodities, or crypto assets. Each signal includes real-time market data such as the latest price, upside potential, and target price forecast, along with model-driven momentum analysis, signal direction, signal return, and historical accuracy – thereby helping investors make informed decisions with conviction, not emotion.

N/A

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