u/AcceptableJacket3947

A trading bot can perform well during one market regime and struggle badly when volatility, liquidity, or market structure changes. I’m curious how developers are handling this in practice. Are you adapting strategies dynamically, changing risk parameters, or keeping the same logic and accepting periods of underperformance? I’m particularly interested in what people are seeing in live markets rather than backtests.

Something I think deserves more attention in mobile crypto wallets is transaction transparency.

Users can see the token, amount, and destination, but smart contract interactions can be much harder to understand. A transaction may involve an approval, contract call, or permission that isn't obvious to someone who isn't familiar with blockchain transactions.

How much information should a wallet show before the user hits Confirm?

Would a clearer breakdown of what the transaction will actually do make users safer, or would showing too much technical information just confuse people?

Building a crypto arbitrage bot starts with defining the trading logic and selecting the exchanges it will support. Development then involves system architecture, API integration, real-time data handling, execution logic, and proper testing.

Testing under different market conditions and refining the system before deployment can help identify issues that basic backtesting may miss.

For those building one, which part of the development process has been the most challenging?