Cost of execution for trading agents: a 30-day plan
Measure spread, commission and slippage in live order logs, then use a 30-day plan to estimate all-in execution cost at target size before scaling an agent.
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Notes on agentic trading: what the platforms actually expose, what an agent can do with it, and what breaks.
Broker sandboxes: a one-week checklist before live trading
Test broker sandboxes against live order behaviour. Measure fills, rejects, latency and account rules before unattended software puts capital at risk.
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Broker API metrics that matter for unattended trading
Use p95 and p99 timings, reconcile fills, and test reconnects before an unattended trading agent routes live capital through a broker API.
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Broker sandboxes expose a compliance gap in live trading
Broker sandboxes validate API calls, not live execution. Learn to test fills, permissions, audit trails and fail-safe controls before unattended orders.
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Partial fills and rejections need explicit state handling
Handle partial fills and rejections with explicit order states, deduplicated execution events, bounded retries and reconciliation that survives disconnects.
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Execution costs for trading agents: spread, fees and slippage
Model spread, commission and slippage by instrument, order type and size. Build realistic execution costs into an unattended trading agent before live…
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Backtesting vs forward testing for autonomous strategies
Compare backtesting vs forward testing for agent strategies, measure execution gaps, and set gates before an unattended system sends live orders.
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Guardrails for unattended trading agents: what to measure
Build trading agent guardrails with measurable limits for exposure, data age, orders, losses and reconciliation, plus trip conditions and repeatable tests.
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Backtesting versus forward testing for agent strategies
Compare backtesting versus forward testing by data, execution cost and signal drift. Use practical benchmarks to judge when an unattended agent is ready.
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