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Trading Strategy

Powered by AI, data-driven insights, and a formidable team, Buxx mimics a seasoned trader’s decision-making process. Considering variables like market conditions and a security’s historical marketability, Buxx’s approach to executing orders evolves continuously to reflect changing market dynamics. Here’s how it works:
Order Management: Buxx optimizes user orders by splitting them into smaller transactions. This is based on factors such as a security’s marketability, transaction size, order value, and available execution time. This strategy minimizes market impact and exposure to volatile price fluctuations. When handling large volumes, Buxx employs “Iceberg” orders, tactically breaking down the order according to the size of other visible orders in the order book.
Rate Limit Updates: Buxx dynamically adjusts the rate limit in response to market fluctuations, ensuring the price remains at or better than the user-set rate limit. It considers factors like recent transactions, order progress, set aggressiveness level, time left to complete, and more, while abiding by the Orders-to-Trade (OTR) ratio set by the exchange to prevent penalties for excessive orders.
Spread Monitoring: Buxx keeps track of each security’s current and historical spread (between Bid and Ask) to identify and respond to any unusual activity. This prevents undesirable competition leading to increased purchase prices.
Quote and Take Transitions: Buxx analyzes transaction trends to identify whether deals are more likely to be made “on the Bid” or “on the Ask”. This knowledge informs whether Buxx should quote or take the opposite side. This automatic transition relies on recent market transactions and the rate of executing the requested quantity.
Bot Identification: Buxx can identify other trading bots and avoid price-impacting competitions. It can also mimics human behavior by randomizing command update times, making its activities less predictable.

Gidon Eisenberg |

Co-Founder & CEO

With over two decades of experience managing algo-trading companies, hedge funds, and developing various financial instruments, Gidon is a leading figure in the industry. He is proficient in creating and characterizing automated trading systems and a variety of financial instruments. He holds a B.Sc. in Computer Science and Economics and a Master’s in Financial Economics (with honors) from the Hebrew University of Jerusalem.

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