The basic execution loop
Most bots read prices and account state, evaluate a rule, submit or cancel orders, and repeat. DCA bots schedule or condition entries; Grid bots place orders across a price range; Signal bots react to external alerts.
Cloud, self-hosted and custodial models
Cloud services operate the runtime for users and typically store or decrypt API credentials when submitting orders. Self-hosted software runs on user infrastructure. Built-in exchange bots trade assets already custodied by the exchange.
These models change operational risk; they do not change the fact that automation can place losing trades.
Backtesting and paper trading
Backtests replay historical data. Paper trading simulates current markets. Both help find rule errors, but assumptions about fill price, liquidity, fees and latency can make results look better than live execution.
What to evaluate
Check strategy controls, order limits, stop conditions, permissions, credential storage, supported venues, total fees, monitoring and failure behavior. Read product-specific evidence rather than relying on the bot category name.
Related product research
These profiles illustrate different architectures and evidence limits discussed in this guide.
Sources
TradeServer Cloud overview — HaasOnline Documentation, accessed August 19, 2026.
Grid Trading Bot — Pionex Support, accessed August 19, 2026.
Live trading compared with Demo Exchange — Coinrule Help Center, accessed August 19, 2026.
Educational disclaimerThis guide is informational, not financial, investment, legal or security advice. Product and exchange controls change; verify current settings directly.