Bybit Expands AI Trading Hub

A broader shift toward automated and AI-assisted trading

Bybit has introduced a series of updates to its AI Trading Skills Hub, expanding the platform’s capabilities beyond basic execution into a more comprehensive trading system. The latest changes focus on automation, strategy replication, and infrastructure-level security improvements.

One of the most notable additions is the integration of copy trading within the AI interface. Users can now identify and follow experienced traders directly through AI-generated suggestions, creating a simplified way to replicate trading strategies. This lowers the barrier for less experienced participants while also giving more advanced users additional tools to scale their approaches.

The platform’s bot management capabilities have also been extended. Users are now able to create, modify, and close trading bots while adjusting key risk parameters such as stop-loss, take-profit, and trailing stop settings. These features apply across several strategies, including spot grid trading, dollar-cost averaging, and futures-based models.

In practice, this means trading bots can react more dynamically to market conditions, with AI systems adjusting strategies in real time. The goal is to improve precision while reducing the need for constant manual oversight.

Another addition is a suite of algorithmic execution tools typically associated with institutional trading environments. These include time-weighted average price (TWAP), iceberg orders, and chase limit orders. Such strategies are designed to help traders execute large positions more efficiently by minimizing price slippage and reducing visibility in the order book.

All of these features are accessible through natural language inputs, reflecting a broader trend toward simplifying complex trading actions through AI-driven interfaces.

Security becomes a central focus

Alongside expanded functionality, Bybit has introduced a new security mechanism aimed at addressing risks tied to automated trading systems. The update includes a dual-source verification framework, which requires consistency between two independent channels before executing code or instructions.

This approach is designed to mitigate potential supply chain attacks. For example, if a code repository or delivery channel were compromised, discrepancies between sources could prevent malicious instructions from being executed. The added redundancy raises the difficulty for attackers, who would need to breach multiple systems simultaneously.

“This significantly raises the barrier for malicious actors,” the company noted, emphasizing that stronger safeguards are necessary as AI-driven trading becomes more widely adopted.

The focus on security reflects a broader industry concern: as automation increases, so does the potential impact of vulnerabilities. By adding verification layers at the infrastructure level, platforms aim to balance convenience with protection.

The bottom line

Bybit’s latest update signals a continued push toward AI-assisted trading environments that combine automation, strategy replication, and institutional-grade tools. Features like copy trading and advanced bots are geared toward accessibility, while algorithmic execution tools cater to more experienced participants.

At the same time, the introduction of dual-source verification highlights the growing importance of security in automated systems. As trading platforms integrate more AI-driven functionality, ensuring the integrity of those systems is becoming just as critical as expanding their capabilities.