apiresilience

When an exchange API hiccups, how does your bot ensure your Stop Loss intentions remain active? 🚨

Building automated systems means preparing for failure, not just for perfect uptime.

Here is what robust, non-custodial automation demands:

1. A reliable platform must be designed with predictable fail-safes for common API issues, such as request timeouts, hitting rate limits, or receiving duplicate webhooks.
2. When connectivity is lost, the system must prioritize risk management; the platform's portfolio guards and Take Profit/Stop Loss intentions must remain active to protect your account even when the market data feed is interrupted.
3. A trustworthy system automatically handles complex state reconciliation upon reconnection, ensuring that it verifies the current state before continuing the trading cycle, rather than just blindly resubmitting old commands.
4. Crucially, a good platform must refuse to guess; it should never fabricate a fill, double-submit an order due to slow initial calls, or let a strategy forget an open position during a gap.
5. To verify your own setup, you must test specific failure modes in a simulation environment, such as sending the same webhook twice or disconnecting the host mid-action, to confirm the bot reconciles correctly without creating duplicates or phantom fills. ✅

For a deeper dive into how we manage these edge cases, review this documentation: https://community.wolfbot.io/docs/what-wolfbot-does-when-api-breaks

#TradingBot #APIResilience #CryptoAutomation #RiskManagement #NonCustodial