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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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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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 execution costs are easy for agents to misprice
Trading execution costs include spread, commission and slippage. Learn how to model fills, compare order types and monitor live cost drift in unattended…
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Trading execution costs: a worked example for agents
Model trading execution costs with spread, commission and slippage, then test order size, fill logic and live cost drift against a clear benchmark.
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Trading agent guardrails: costs and live-operation limits
Set trading agent guardrails with hard limits, order-state checks and a realistic cost budget.
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Paper trading that exposes venue risk before live orders
Paper trading can expose reject paths, partial fills and rate limits before an unattended agent sends live orders, if its simulator models venue rules.
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What an agent actually needs from a trading API
Order endpoints, idempotency keys, rate limits and streaming fills: the capabilities an autonomous agent needs from a broker API, and what typically goes…
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