Trading strategy description: what plain language loses
Translate a trading strategy description into explicit signals, order rules, risk limits and failure handling before an unattended agent reaches a live venue.
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Notes on agentic trading: what the platforms actually expose, what an agent can do with it, and what breaks.
Broker API approaches for unattended trading agents
Compare direct, aggregated and FIX broker APIs, with typical latency, rate limits and order-state trade-offs for unattended trading agents in production.
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A trading strategy description hides risk in the details
A trading strategy description can hide timing, sizing and exception rules. Learn how to document these mechanics for safer unattended execution.
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Position reconciliation for trading agents: a 30-day plan
Build reliable position reconciliation in 30 days: align fills and snapshots, detect drift, and define safe actions for broker and agent state mismatches.
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Backtesting vs forward testing for trading agents
Compare backtesting vs forward testing for trading agents, with practical controls for slippage, data leakage, order limits, audit trails and compliance…
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Paper trading that behaves like a real execution venue
Test paper trading against live venue mechanics with a one-week checklist for fills, rejects, latency, market data, fees and risk controls before unattended t
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Broker sandboxes test requests, not live trading behaviour
Broker sandboxes validate API wiring but often fake fills, liquidity and risk. Compare paper feeds, simulators and small live tests before unattended deployme
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What a broker API must provide for autonomous trading
A broker API must expose order state, reject reasons, idempotency and recovery paths so autonomous trading agents can manage exposure without guessing after d
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Trading agent guardrails for unattended order execution
Trading agent guardrails limit exposure, reject unsafe orders and define when an unattended system must stop, alert or recover before a small fault becomes a
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