PORTFOLIO RISK · T01

Portfolio risk & stress test

Measure risk at stops position by position, concentration by risk group, and deterministic loss under one shared market shock.Calculated locally in this browser. Inputs are not saved or transmitted.

Open or planned positions

Open or planned positions

Point value is the account-currency value of a 1.0 price move per unit. Shock is a signed percentage move from entry.

PositionSideQtyEntryStopPoint valueFees / unitSlippageRisk groupShock %Actions
Side
Side

Stress scenario

Current result

Portfolio decision view

Within the selected limit
Gross risk at stops$468.800.94%
Stop-risk budget remaining$531.20$1,000.00 max
Largest risk group100%US equities
Scenario loss$3,964.807.93%

Risk by position

  • MNQ long$206.40
  • MES long$262.40

Concentration by group

  • US equities100%
Signed notional exposure: $152,000.00All calculations run in this browser tab. Scope: amounts are USD only.

01 / DECISION

What this tool decides

A single open-risk amount cannot show which group dominates the budget or how different instruments respond to the same scenario. This workspace keeps gross stop risk hard while making concentration and shock loss visible.

Scope and limitations

  • Amounts and point values are expressed in USD in this first public version.
  • Payoffs are linear; options and other non-linear instruments are outside scope.
  • Scenarios are deterministic user inputs, not forecasts or probabilities.
  • Stops can gap or fill at a different price; the result is a planning estimate, not a guaranteed maximum loss.

Method and sources

The engine applies the documented position-level formulas and keeps gross stop risk additive. These references support the surrounding risk-planning interpretation.

  1. Position and Risk ManagementCME Group

    Connects position size, risk tolerance, and predefined exit levels in futures planning.

  2. Stop Orders: Factors to Consider During Volatile MarketsFINRA

    Explains why a stop trigger and the execution price can differ in volatile markets.