AI
Forbes warns agentic AI turns crypto risk into a permissions and controls problem
Once agents can touch wallets, exchanges, and DeFi, one weak approval path can become an irreversible on-chain loss.
Automated Trading
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Start hereAutomated 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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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.
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.
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.
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Crypto
July 2026 exchange roundup lists 12 venues and spotlights 200x to 50x leverage claims
The July 3 update mixes major CEX brands with Paradex as a DEX and leans on platform-stated reserves and custody metrics.
Crypto
Jaredfromsubway.eth Sandwich Bot Drained for $7.5M After Approval-Logic Exploit
An attacker used weeks of fake tokens and liquidity pools to bait lingering approvals, then pulled WETH, USDC and USDT and routed some funds to Tornado Cash.
