Handling partial fills and rejections in trading code
Handle partial fills and rejections with explicit order states, bounded retries and position checks so unattended trading code can recover without…
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Notes on agentic trading: what the platforms actually expose, what an agent can do with it, and what breaks.
Strategy description: what plain language leaves out
Turn a plain-language strategy description into rules an unattended trading agent can test, price and execute, with a checklist for orders, costs and…
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Handling partial fills and rejections in trading code
Handle partial fills and rejections with order-state logic, bounded retries and position reconciliation in a worked example using realistic execution figures.
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Backtesting versus forward testing: a 30-day plan
Backtesting versus forward testing needs separate controls. Use this 30-day plan to test fills, latency, state recovery and live-risk limits before…
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Strategy description metrics: measure what plain language hides
Measure a strategy description by defining signals, order rules, execution costs and exposure, then compare intended decisions with fills and realised risk.
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Broker sandboxes: measure the gap before live orders
Measure broker sandboxes against live execution using fill, reject, latency and slippage metrics before an unattended agent mistakes acceptance for a trade.
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What an agent needs from a broker API: a 30-day plan
Map broker API capabilities, order states, limits and recovery tests into a 30-day build plan, then validate safe order placement before live trading.
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Trading agent guardrails: a checklist for unattended trading
Set trading agent guardrails for limits, order states and data faults. Use this weekly checklist to test an unattended system before it can trade live.
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Designing idempotency and retries for live order placement
Use idempotency and retries safely with stable client IDs, bounded backoff and reconciliation. Learn what to retry, what to query and when to stop.
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