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19 September, 2026 / News / AI / Tags: traders, professional, arbitflow, execution, users

The platform pairs proprietary AI research tools with vetted traders under a spot-only model, allowing users to allocate capital from $25 across multiple strategies
Arbitflow has introduced a managed cryptocurrency trading service that connects users with professional traders while incorporating artificial intelligence for market analysis. Users select individual traders and decide how much capital to assign to each one, retaining control over distribution while professionals handle position management and execution. The minimum starting amount is $25, providing an accessible entry point for those seeking market exposure without daily chart monitoring or manual order placement.
Capital can be spread across several traders and strategies rather than concentrated with a single professional. This arrangement allows users to structure their allocations according to preference. Selected traders manage the day-to-day decisions on entry, adjustment, and exit of positions using the funds assigned to them.
Candidates undergo identity verification, professional-history reviews, and simulated skills testing before approval to manage capital on the platform. Once accepted, traders remain under continuous performance monitoring through activity records and results data.
Users gain visibility into available traders by reviewing historical performance information prior to allocation. A Live Trading feature displays trader performance metrics, trading history, and most completed trades, enabling ongoing observation without requiring users to assume direct execution responsibilities.
Arbitflow’s proprietary technology processes market conditions, news flows, trader behavior patterns, performance data, and potential risk indicators. Professional traders incorporate these analytical outputs into their research while retaining full responsibility for final trading decisions. The system does not autonomously generate or place orders.
Development of the AI infrastructure followed market research and strategy work that began in 2023. The technology was designed to support existing professional trading workflows rather than function as a standalone automated execution engine.
All activity on the platform occurs exclusively in spot markets. Traders operate solely with the capital allocated by users and do not employ leverage or margin. This structure eliminates the possibility of forced liquidation triggered by borrowed exposure thresholds.
Market risk associated with cryptocurrency price movements continues to apply. Declines in asset values can reduce the worth of managed allocations, as positions remain directly tied to the underlying holdings without protective leverage mechanisms.
The combined model positions professional traders as the decision-makers responsible for managing user capital, supported by analytical tools and transparent performance records. Users determine allocation amounts and trader selection while the platform handles the infrastructure for research, execution, and visibility.









