Execution is directly linked to the proximity between detection and order placement. The longer it takes for a signal to be translated into an order, the more the developer should consider the risks involved when designing the architecture of the system.
Data collection, signal validation, and order routing must work together as a seamless pipeline, ensuring that a bot makes its move immediately after certain criteria have been detected. Smart contract implementation has the major role in this process. On-chain factors such as gas estimation, slippage tolerance, and fail-safe conditions will determine if an order gets executed properly or it just gets stuck in the middle of network congestion.
Exchange connectivity, regardless of being centralized or decentralized, should always be developed based on the response time, as small lags might change the execution results. The logic of trading strategies must remain flexible enough to adjust to the changes in the market behavior without breaking up the ongoing execution process.
These requirements define the approaches that are taken while working on AI Crypto Trading Bot Development, they form the criteria for assessing the quality of a Crypto Trading Bot Development company, as well as Trading Bot Development itself.
To Know More: https://bidbits.org/blog/ai-crypto-trading-bot-development
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