Paper trading needs venue-level execution realism
Paper trading can test order logic, but venue-aware fills expose queue position, partial executions, fees and rejection paths before an unattended agent…
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Notes on agentic trading: what the platforms actually expose, what an agent can do with it, and what breaks.
Turning a trading strategy description into executable rules
Translate a trading strategy description into testable signals, sizing rules and order behaviour, with examples of details an unattended system must preserve.
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Trading agent monitoring: a practical playbook for live risk
Trading agent monitoring catches stale data, stuck orders and risk drift. Set alert thresholds, reconcile broker state and rehearse recovery before…
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A trading strategy description loses detail at execution
A trading strategy description can hide timing, sizing and failure rules. Translate the prose into order states, limits and tests before unattended execution.
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Paper trading costs for realistic venue behaviour
Model fees, spreads, queue position, partial fills and latency in paper trading, then benchmark the gaps that can distort unattended order execution.
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Measuring execution costs for an unattended trading agent
Measure execution costs for agents by separating spread, commission and slippage, then benchmark fills against quotes, order size and market conditions.
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Kill switches fail when trip conditions stay vague
Trading kill switches need measurable exposure, stale-data and order-failure triggers.
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Idempotency and retries for unattended order placement
Design idempotency and retries for unattended order placement with stable client IDs, bounded backoff, exposure controls and reconciliation after timeouts.
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Broker sandboxes lie about the parts that cost money
Broker sandboxes accept orders without modelling queue position, partial fills or outages.
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