Automated Trading

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Automated crypto trading: How bots really make or lose money on execution

Automation can follow rules 24/7, but slippage, liquidity limits, and on-chain front-running often decide the realized outcome.

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Learn about Automated Trading

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Trading bots vs copy trading vs AI bots: who owns the PnL and why it matters

The real split is decision control and execution path, which determines slippage, fees, and whether published performance can be replicated.

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How to evaluate a crypto trading bot with a friction audit

Treat every backtest as guilty until it survives bad data, pessimistic execution costs, and a 30-day paper run with locked-down API permissions.

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Grid bots vs DCA bots: choosing the right profit engine

Grid bots try to harvest range volatility with many small trades, while DCA bots build inventory over time to reduce entry timing risk.

AI trading agents crypto: How agentic execution works and where it breaks

They translate natural-language intent into exchange and wallet actions via tool “skills,” which makes controls and permissions more important than backtests.

Crypto copy trading honest guide: sizing, leverage, and kill-switches that matter

Copy trading mirrors a lead trader’s orders, but your results hinge on market type, sizing mode, fees, and the loss limits you set.