Bitget Launches AI Smart Grid for Automated Multi-Coin Trading
Bitget has launched AI Smart Grid on its GetAgent Playbook, adding an automated strategy that selects coins, configures grid parameters and rotates positions as market conditions change. The feature is designed to move grid trading from a fixed, single-asset setup toward continuous, AI-assisted portfolio management. Table of Contents How AI Smart Grid works Four-hour reassessment … Read more

Bitget has launched AI Smart Grid on its GetAgent Playbook, adding an automated strategy that selects coins, configures grid parameters and rotates positions as market conditions change. The feature is designed to move grid trading from a fixed, single-asset setup toward continuous, AI-assisted portfolio management.
How AI Smart Grid Works
Traditional grid trading requires a user to select an asset, define a price range, choose the number of grid levels and set risk controls. Bitget’s AI Smart Grid automates much of that setup.
Users select a trading type, strategy style and investment amount. The system then scans available markets using factors such as volatility, liquidity and trading range before selecting assets and generating parameters.
The strategy can operate across multiple coins instead of remaining permanently tied to a single market. When conditions change, assets can be rotated out and more suitable assets can be added.
| Stage | AI Smart Grid function | User input |
|---|---|---|
| Market scan | Evaluates volatility, liquidity and ranges | Trading type and style |
| Configuration | Sets range, grid count and risk parameters | Investment amount |
| Execution | Runs eligible grids across selected assets | Start or stop decision |
| Rebalancing | Rotates assets as conditions change | Ongoing monitoring |
Four-Hour Reassessment and Risk Checks
Once active, Smart Grid reassesses market conditions every four hours. It can adjust the portfolio, switch individual grids on or off and rotate assets when the market no longer fits the strategy.
Risk checks run every 15 minutes. Bitget says the strategy may remain flat when there are no suitable opportunities instead of forcing a trade.
This distinction matters because grid systems generally work best when prices move inside a range. A strong one-way trend can leave a grid holding an asset as prices move away from its expected band.
Frequent monitoring can improve responsiveness, but it cannot guarantee that a system will react before a sharp move, liquidity gap or exchange outage.
Spot and Futures Entry Points
Bitget’s initial Smart Grid rollout includes separate spot and futures playbooks. Spot Smart Grid is designed for range-bound coin trading without futures leverage. The futures version can apply futures-specific parameters and risk controls.
Users should confirm which playbook they are launching because leverage, liquidation, funding and margin requirements differ significantly between spot and futures trading.
Futures users can lose collateral when positions are liquidated. A system that adjusts parameters automatically does not remove the possibility of rapid losses.
How It Fits GetAgent Playbook
GetAgent Playbook is Bitget’s library of structured AI trading strategies. It was introduced to move AI trading beyond open-ended prompts into workflows that users can preview, configure, launch and monitor.
Smart Grid extends that model by continuing to evaluate markets after deployment. Instead of providing a one-time signal, the strategy combines asset selection, parameter generation, execution and monitoring.
The approach reflects a wider shift toward agent-native trading. AI systems are increasingly being used to interpret market data, construct strategies and connect them to order execution.
Users should still review the strategy description, permissions, fund isolation, API controls and cancellation process before activating an automated workflow.
Risks Users Should Understand
AI Smart Grid is not a capital-protection product. Its results depend on volatility, liquidity, spreads, fees, execution quality and the range assumptions used by the model.
Market conditions can change between scheduled reassessments. A coin may become unsuitable before the next scan, and automatic rotation can create additional transactions, fees or taxable events.
Futures playbooks add leverage, funding and liquidation risks. Users should begin with an amount they can afford to lose, check maximum exposure and understand how the system behaves during a market gap.
Automated trading also creates operational risks, including outages, data errors, connectivity failures and unexpected configuration changes.
Bottom line: Bitget’s AI Smart Grid introduces automated multi-coin grid trading through GetAgent Playbook. It can select assets, configure parameters, reassess markets every four hours and run risk checks every 15 minutes, but users remain responsible for understanding strategy, leverage, fees and loss risks.
Read the official Bitget announcement, review the Smart Grid support notice and explore GetAgent Playbook.



