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Use this checklist to translate prop-firm rules into daily operating decisions. Adapt the numbers and controls to the current terms of your account and to the tested behavior of your strategy.

Before the session

  • Confirm the firm’s current daily-loss and maximum-loss calculations.
  • Record the reset time and time zone.
  • Calculate the current distance to both breach thresholds.
  • Set a personal daily stop inside the firm’s hard limit.
  • Reserve capacity for commissions, slippage, gaps, and operational error.
  • Review scheduled news and product restrictions.
  • Confirm platform, data, VPS, and notification status.
  • Define the maximum total open risk and maximum risk per trade idea.

Before each trade

  • State the setup and invalidation point.
  • Calculate size from allowed monetary risk and stop distance.
  • Include commissions and a realistic slippage allowance.
  • Check symbol, direction, sector, currency, and strategy exposure.
  • Group related positions under one trade-idea budget.
  • Include pending orders that could activate together.
  • Verify remaining daily and overall loss capacity after entry.
  • Reject the trade if any limit would be exceeded.

While positions are open

  • Monitor equity and open risk, not only closed P&L.
  • Recalculate aggregate exposure after fills, partial closes, or stop changes.
  • Do not widen an invalidation point to avoid realizing a loss.
  • Do not increase size to recover the day.
  • Confirm that automated controls remain active.
  • Stop opening risk at the personal daily boundary.

After the session

  • Reconcile platform results with the firm’s dashboard.
  • Record sizing errors, overrides, rejected orders, and technical incidents.
  • Separate strategy performance from execution quality.
  • Review the largest correlated exposure of the day.
  • Confirm the next session’s available loss buffer.
  • Change limits only during a scheduled review, not in response to frustration.

Weekly review

Track process metrics as well as return:
  • percentage of trades sized correctly;
  • number of rule exceptions;
  • maximum concurrent open risk;
  • largest trade-idea concentration;
  • slippage versus assumptions;
  • distance between the personal stop and the hard breach threshold;
  • days on which trading continued after the planned stop.
A profitable week with repeated control failures is not evidence of a robust process.

Prop risk framework

Understand the logic behind each check.

Daily vs maximum loss

Verify which rule constrains the next trade.

Build a risk-based system

Connect limits, execution, and review.

Automate enforcement

Explore tools for monitoring limits continuously.
A checklist supports discipline but cannot remove market, liquidity, platform, configuration, or counterparty risk.