Paper trading that behaves like a live venue
Build paper trading that models queues, partial fills, fees and rejects. Compare simulated fills with venue mechanics before an agent risks live capital.
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Notes on agentic trading: what the platforms actually expose, what an agent can do with it, and what breaks.
Cost of execution: the controls an unattended agent needs
Measure spread, commission and slippage separately, then enforce cost limits, route controls and audit records before an unattended trading agent sends live…
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Idempotency and retries: where order systems go wrong
Idempotency and retries keep order systems from duplicating exposure. Learn how to assign keys, handle timeouts and reconcile broker state safely.
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What a strategy description leaves out before live orders
A strategy description can hide timing, sizing and order-state assumptions. Translate each sentence into executable rules, limits and observable failure…
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Kill switches for trading agents need measurable trip conditions
Set kill switches for trading agents with measured limits for losses, stale data, order rejects, exposure and recovery, not one vague stop rule.
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Kill switches for trading agents: conditions that should trip
Set kill switches for trading agents with measurable loss, order, data and connectivity limits, plus a recovery procedure that avoids duplicate exposure.
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Trading strategy documentation: a 30-day implementation plan
Turn trading strategy documentation into executable rules with a 30-day plan for data semantics, order handling, paper tests and live risk limits.
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Partial fills and rejections: safer handling in trading code
Handle partial fills and rejections in trading code with event-driven state, bounded retries, reconciliation and realistic execution-cost checks.
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Guardrails for an unattended trading agent: risk and compliance
Set hard order limits, fail-safe behaviour and audit controls for an unattended trading agent, with practical cost ranges and a compliance checklist.
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