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Models, disclosed

Calculator methodology

What the interactive labs calculate, what they simplify, and how to verify a scenario before relying on it.

01

Purpose and scope

The labs turn user-entered assumptions into transparent educational scenarios. They do not retrieve a guaranteed quote, predict a market move, reproduce a provider risk engine, or recommend a position.

The default examples are chosen to make relationships visible. They are not representative returns, safe leverage levels, or promises about live provider behavior.1

02

Arithmetic used

Linear P&L examples multiply signed quantity by the difference between exit and entry price. Funding examples multiply position notional by a periodic rate. Risk-based sizing divides a currency loss budget by adverse price distance per unit. Simple annualization repeats one periodic rate without forecasting how it will change.45

Each tool states its local assumptions beside the result. Currency is rounded for readability, so displayed components may differ slightly from a total calculated at full precision.

03

What the models normally exclude

Unless explicitly entered, examples exclude spread, order-book impact, latency, partial fills, changing funding, tiered margin, collateral haircuts, liquidation fees, taxes, and provider-specific rounding. These omissions make a model easier to understand but usually make a favorable scenario look cleaner than live execution.35

  • No guarantee that a stop fills at its trigger
  • No guarantee that displayed depth remains available
  • No guarantee that funding remains constant
  • No simulation of an execution provider outage
  • No tax, legal, or suitability conclusion
04

Why liquidation is approximate

A real liquidation threshold can depend on mark price, account equity, maintenance margin, size tiers, open orders, other positions, fees, and changing collateral. A simplified meter can show direction and sensitivity but cannot reproduce all provider state.56

The selected provider’s displayed liquidation estimate and current documentation are authoritative for its contract. Even that estimate can move after funding, fills, collateral changes, or parameter updates.6

05

Verification workflow

Re-enter the scenario using the current market, fee tier, funding interval, quantity precision, and collateral shown on the trading ticket. Compare the modeled break-even and loss with a stressed fill beyond the visible top-of-book price.23

After any real order, reconcile requested quantity, filled quantity, average price, fees, position, collateral, and remaining orders. A planning model ends at intent; account state confirms what actually happened.

06

Change control

Calculator logic is reviewed when a formula, provider mechanic, or supported contract changes. Material methodology changes should update the page review date and connected lesson. Examples that depend on live provider parameters must be rechecked against primary documentation.

Source desk

References

Source 1 / U.S. Commodity Futures Trading Commission / accessed 28 July 2026Crypto Asset Perpetual ContractsSource 2 / U.S. Commodity Futures Trading Commission / accessed 28 July 2026Understand your contractual obligationsSource 3 / U.S. Securities and Exchange Commission, Investor.gov / accessed 28 July 2026Types of ordersSource 4 / Novrinex Research / accessed 28 July 2026Educational methodology and contract assumptionsSource 5 / U.S. Commodity Futures Trading Commission / accessed 28 July 2026Futures market risk guidanceSource 6 / Novrinex Research / accessed 28 July 2026Educational methodology and price assumptionsSource 7 / Novrinex / accessed 28 July 2026Calculator assumptions and educational methodology
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