Byte Trading

Byte Trading

Byte is an algorithmic market maker in digital assets. We create liquid and efficient markets on centralized and decentralized exchanges. Learn more

Financials

Estimates*

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Revenues, earnings & profits over time
USD20222023
Revenues<1m<1m
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DateInvestorsAmountRound
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N/A

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€540k

Seed
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$7.0m

Seed
Total Funding€6.9m

Recent News about Byte Trading

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Byte Trading is a cutting-edge research firm that leverages alternative data and advanced technology to drive its business. The company operates in the financial markets, focusing on algorithmic trading, which means using computer algorithms to make trading decisions. Byte Trading's core strength lies in its ability to analyze vast amounts of data to detect patterns and trends before they become apparent to the broader market. This gives them a significant edge in making profitable trades.

The firm serves institutional clients, such as hedge funds, investment banks, and other financial institutions that require sophisticated trading strategies to maximize their returns. Byte Trading's market is highly competitive, with numerous players vying for the same opportunities. However, the firm's unique approach to data analysis and its historical grounding in information theory, inspired by pioneers like Claude Shannon and Edward Thorp, set it apart from the competition.

Byte Trading's business model revolves around monetizing its research through algorithmic trading. Essentially, the company uses its proprietary algorithms to trade financial instruments like stocks, bonds, and derivatives. The profits generated from these trades are the primary source of revenue for the firm. By continuously refining their algorithms and incorporating new data sources, Byte Trading aims to stay ahead of market trends and maintain its competitive advantage.

In summary, Byte Trading is a technology-driven research firm that excels in algorithmic trading by leveraging alternative data and advanced analytics. It serves institutional clients in the financial markets, making money through the profits generated by its sophisticated trading algorithms.

Keywords: algorithmic trading, alternative data, financial markets, institutional clients, proprietary algorithms, data analysis, trading strategies, technology-driven, competitive advantage, research firm.