Quality of order execution in automation is dictated by how reliably and promptly a bot reacts to conditions without deviation from the planned course of action. It depends greatly on the data pipeline inside the system since both price feeds, order book depth and on-chain events have to make their way into the decision layer to ensure accurate execution.
Once the condition is detected, the transition between decision making and order sending has to be fast and predictable especially when working with on-chain orders due to various parameters like contract calls, gas fee and transaction confirmation that can make the order fail or delay the transaction. In case of off-chain exchange integration, such as API-based, execution depends greatly on the structure and error handling inside of the API.
Handling errors and creating recovery mechanisms is as crucial as proper order execution because an order execution system which is unable to recover from failed transactions or incomplete order is unreliable. It is the layer of development that constitutes the core of
AI Crypto Trading Bot Development, dictates the architecture of Crypto Trading Bot Development company and affects Trading Bot Development after deployment.
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