# Tesoro LTD

- **Website:** <https://itesoro.com>
- **Primary alias:** `itesoro.com`
- **Founded:** 2016
- **Employees:** 2+
- **Location:** Gibraltar, Gibraltar
- **Company kind:** PARTNERSHIP

## Description

Tesoro Management LTD is a brand that specializes in innovative research in AI and deep machine learning, with a primary focus on financial research and algorithmic trading. They employ a disciplined research process that follows a scientific method and relies on trading and systematic experience. Their research objectives are validated by unbiased judgment, and their algorithms incorporate unique and innovative features from various branches of science and engineering. At Tesoro Management, they offer a thorough investment process and constant risk management. They use a systematic algorithmic approach with fully automated execution, based on extensive knowledge and long-term quantitative research. They specialize in capturing opportunities in market volatility through systematic long/short strategies and aim to generate superior performance. Their team consists of passionate and experienced professionals, including finance experts, AI/ML specialists, investors, and ML engineers. Together, they ensure that the investment and trading process at Tesoro Management is backed by a strong scientific foundation and rigorous testing. Overall, Tesoro Management LTD is a brand that delivers a scientific approach, passionate team, and constant risk management to provide superior risk-adjusted returns in the financial industry.

## Industries

- 💰 Finance

## Logos & icons

- logo _(primary)_ — PNG, SVG — [download](https://cdn.brandfetch.io/id7WMQfQW1/w/820/h/288/theme/dark/logo.png?c=1bxid64Mup7aczewSAYMX&t=1773768344895)

## Colors

| Name | Hex | Theme |
| --- | --- | --- |
| Shark | #1d1e20 | dark |
| White | #ffffff | light |
| Sapphire | #2d54a5 | accent |

## Fonts

- Quicksand — asset _(google)_
- RedHatDisplay — asset _(google)_

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_Source: <https://brandfetch.com/itesoro.com>_
_See [/llms.txt](/llms.txt) for a full list of agent-readable pages, and [/auth.md](/auth.md) for how agents authenticate._