Prop Firm Automation — Production-Grade Builds

One rule breach voids the evaluation

Prop traders lose accounts to software that ignores consistency rules, stacks correlated pairs, or trades through news when EAs lack calendars. Generic bots do not read firm PDFs.

• ×Daily drawdown calculated wrong vs firm equity snapshot time.
• ×Max lot per step confused with max total open lots.
• ×Weekend holding or news trading violations automated unknowingly.
• ×Copying Discord EAs without firm-specific parameter locks.

Firm-aware bot development

Rule modules per prop firm with configurable buffers, pre-trade validation, and operator dashboards showing distance to breach.

• Daily and max DD tracked per firm formula with margin buffer.
• Auto-flat and disable before hard breach threshold.
• Symbol whitelist and session rules from firm sheet.
• Evaluation vs funded profiles switchable without code change.

Prop traders productizing funded workflows

Serious eval traders who want automation aligned to rule PDFs—not hype EAs marketed for props.

Real-world delivery examples

What you get

Technology stack

Development process

1. 01

   Firm rule intake

   PDF + account type + symbols; encode as test cases.

2. 02

   Strategy integration

   Your logic wrapped by rule validator on every tick.

3. 03

   Sim breach tests

   Deliberately trigger scenarios to verify stops.

4. 04

   Evaluation run support

   Demo/challenge monitoring first cycle.

5. 05

   Funded profile tune

   Adjust buffers after first payout cycle data.

Trust signals buyers can verify

Competitors often stop at “we build bots.” This page explains what is built, where it runs, how it is tested, what can fail, and how support works after delivery.

Implementation example

A production-grade prop firm automation should reject unsafe orders before they reach the venue. The exact code differs by platform, but the invariant is the same: validate risk first, execute second, log everything.

type OrderIntent = {
  symbol: string
  side: 'buy' | 'sell'
  riskPercent: number
  idempotencyKey: string
}

async function handleSignal(intent: OrderIntent) {
  await risk.assertWithinDailyLoss(intent)
  await risk.assertSymbolIsTradable(intent.symbol)
  await execution.placeOrder(intent)
  await audit.write({ event: 'order_submitted', intent })
}

Common mistakes we prevent

• ×Starting development before the entry, exit, risk, and broker rules are written down.
• ×Trusting a backtest without spread, slippage, commission, session filters, and live-forward validation.
• ×Using webhook alerts without authentication, idempotency keys, replay protection, or execution logs.
• ×Ignoring broker account mode, lot precision, symbol suffixes, rate limits, and prop-firm drawdown rules.
• ×Deploying without monitoring, a kill switch, rollback steps, and a clear owner for production incidents.

Testing, security, deployment, and maintenance

Who should use this, and who should not

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Frequently asked questions

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