Accounting

The accounting subsystem tracks balances, margins, and PnL for every account the platform interacts with. This guide covers the data model, the query API that strategies use, and the conventions adapter authors must follow to stay consistent across venues.

It applies equally to backtest and live trading. For backtest-specific configuration (starting balances, margin-model selection per venue), see Backtesting.

Account types

When you attach a venue to the engine for either live trading or a backtest, you pick one of three accounting modes via account_type:

Cash accounts

Cash accounts settle trades in full; there is no leverage and therefore no concept of margin. Locked balances reflect the notional reserved for pending orders.

Margin accounts

Margin accounts support instruments that require collateral, such as futures or leveraged crypto perps. They track account balances, reserve margin for open orders and positions, and apply a configurable leverage per instrument. Margin is tracked in two scopes; see Margin scopes below.

Key terms:

• Leverage: amplifies exposure relative to account equity. Higher leverage raises both potential returns and risk.
• Initial margin: collateral reserved when an order is submitted.
• Maintenance margin: minimum collateral required to keep an open position.
• Locked balance: funds reserved as collateral, not available for new orders.

Betting accounts

Betting accounts are specialised for venues where you stake an amount to win or lose a fixed payout (prediction markets, sports books). The engine locks only the stake required by the venue; leverage and margin do not apply.

Balance model

An AccountBalance holds three values in the same currency:

• total: the venue-reported total balance figure (wallet, net liquidation, or margin balance, depending on the venue).
• locked: amount reserved against open orders and positions.
• free: amount available for new orders (total - locked).

The invariant total == locked + free must always hold at currency precision.

The Python AccountBalance(total, locked, free) constructor requires all three fields up front. Adapter code written in Rust has two additional derived constructors that enforce the invariant centrally; prefer them over AccountBalance::new whenever the venue reports only two of the three values:

The helpers clamp the derived field to [0, total] when total >= 0, so transient overshoots from venue rounding never leave the account in a broken state.

Margin scopes

A MarginBalance has four fields: initial, maintenance, currency, and an Optional[InstrumentId] that selects one of two scopes.

Per-instrument scope

MarginBalance.instrument_id is set to a concrete instrument. Use this for:

• Isolated margin (per-position collateral), such as some OKX unified or Bybit isolated modes.
• Backtest or calculated margin, where the AccountsManager derives margin locally from open orders and positions per instrument.

Account-wide scope

MarginBalance.instrument_id is None. The entry is keyed by its currency (the collateral currency). Use this for:

• Cross-margin venues reporting a single aggregate per collateral. Examples: Binance USDT-M (USDT) and COIN-M (one per base coin), OKX, BitMEX, Hyperliquid (USDC), Bybit UNIFIED (per coin), Deribit (per currency), Kraken Futures.

Both scopes coexist on the same MarginAccount in separate internal stores. An AccountState event may carry entries in either or both scopes, and MarginAccount.apply() routes each entry to the correct store based on whether instrument_id is set.

Strategy query API

Use the query that matches the venue's reporting shape. If a venue reports per-instrument margins, ask by InstrumentId. If it reports account-wide margins, ask by Currency.

Point queries return None when the entry is absent; total queries always return a Money (zero for the currency if nothing matches).

Per-instrument queries (MarginAccount)

• margin(instrument_id) -> MarginBalance | None
• margin_init(instrument_id) -> Money | None
• margin_maint(instrument_id) -> Money | None
• margins() -> dict[InstrumentId, MarginBalance] (all per-instrument entries)
• margins_init() -> dict[InstrumentId, Money]
• margins_maint() -> dict[InstrumentId, Money]

These methods only see the per-instrument store. On a cross-margin venue they return empty dicts or None — use the account-wide queries below.

Account-wide queries (MarginAccount)

• margin_for_currency(currency) -> MarginBalance | None
• margin_init_for_currency(currency) -> Money | None
• margin_maint_for_currency(currency) -> Money | None
• account_margins() -> dict[Currency, MarginBalance] (all account-wide entries)
• account_margins_init() -> dict[Currency, Money]
• account_margins_maint() -> dict[Currency, Money]

Totals (MarginAccount)

These sum across per-instrument and account-wide entries for a given currency:

• total_margin_init(currency) -> Money
• total_margin_maint(currency) -> Money

Useful when a strategy trades on a venue where both scopes may appear (for example, isolated positions alongside cross-margin collateral).

Clearing account-wide entries

• clear_account_margin(currency) removes the account-wide entry for a given collateral currency and triggers a balance recalculation. The counterpart for per-instrument entries is clear_margin(instrument_id).

These are system methods; adapter code calls them implicitly via MarginAccount.apply(). Strategies should not need them directly.

Portfolio-level queries

Margin queries:

• portfolio.margins_init(venue=..., account_id=...) -> dict[InstrumentId, Money]
• portfolio.margins_maint(venue=..., account_id=...) -> dict[InstrumentId, Money]

These mirror MarginAccount.margins_init / margins_maint and return only the per-instrument entries. For account-wide data on cross-margin venues, query the account directly via portfolio.account(venue).margin_init_for_currency(ccy).

PnL, exposure, mark-to-market, and equity queries all accept venue and an optional account_id to scope multi-account venues:

• portfolio.unrealized_pnls(venue=..., account_id=...) -> dict[Currency, Money]
• portfolio.realized_pnls(venue=..., account_id=...) -> dict[Currency, Money]
• portfolio.total_pnls(venue=..., account_id=...) -> dict[Currency, Money]
• portfolio.net_exposures(venue=..., account_id=...) -> dict[Currency, Money]
• portfolio.mark_values(venue=..., account_id=...) -> dict[Currency, Money]
• portfolio.equity(venue=..., account_id=...) -> dict[Currency, Money]
• portfolio.missing_price_instruments(venue) -> list[InstrumentId]

See the Portfolio guide for the equity formula, price fallback chain, base-currency conversion behavior, and the warn-once missing-price tracker.

Worked examples

Hyperliquid (single-collateral USDC cross margin):

usdc_margin = margin_account.margin_init_for_currency(USDC)
usdc_total  = margin_account.total_margin_init(USDC)

Bybit UNIFIED (per-coin cross margin):

for ccy, margin_balance in margin_account.account_margins().items():
    print(ccy, margin_balance.initial, margin_balance.maintenance)

dYdX v4 (USDC cross margin, aggregated per quote currency):

usdc_margin = margin_account.margin_init_for_currency(USDC)

Margin models

NautilusTrader provides flexible margin calculation models for the calculated path (backtests, and live strategies running with calculate_account_state=True for reconciliation). Reported margins from a venue flow straight into _account_margins or _margins without going through a model.

Overview

Different venues treat leverage differently:

• Traditional brokers (Interactive Brokers, TD Ameritrade): fixed margin percentages regardless of leverage.
• Crypto exchanges (Binance, others): leverage may reduce margin requirements.

Both built-in models compute margin as a percentage of notional using the instrument's margin_init and margin_maint fields. They differ only in whether leverage reduces the reservation. For venues with true per-contract fixed margin (CME / ICE), set instrument.margin_init and margin_maint so the percentage recovers the desired dollar amount, or implement a custom model.

Available models

StandardMarginModel

Uses fixed percentages without leverage division, matching traditional broker behavior.

# Fixed percentages - leverage ignored
margin = notional * instrument.margin_init

• Initial margin: notional_value * instrument.margin_init
• Maintenance margin: notional_value * instrument.margin_maint

Use cases: traditional brokers (Interactive Brokers), forex brokers with fixed margin requirements.

LeveragedMarginModel

Divides margin requirements by leverage.

# Leverage reduces margin requirements
adjusted_notional = notional / leverage
margin = adjusted_notional * instrument.margin_init

• Initial margin: (notional_value / leverage) * instrument.margin_init
• Maintenance margin: (notional_value / leverage) * instrument.margin_maint

Use cases: crypto exchanges that reduce margin with leverage, venues where leverage affects margin requirements.

Default behavior

MarginAccount uses LeveragedMarginModel by default. Override programmatically:

from nautilus_trader.backtest.models import LeveragedMarginModel
from nautilus_trader.backtest.models import StandardMarginModel
from nautilus_trader.test_kit.stubs.execution import TestExecStubs

account = TestExecStubs.margin_account()

# Traditional broker behavior
account.set_margin_model(StandardMarginModel())

# Or the leveraged model (default)
account.set_margin_model(LeveragedMarginModel())

Worked example: EUR/USD

• Instrument: EUR/USD
• Quantity: 100,000 EUR
• Price: 1.10000
• Notional: $110,000
• Leverage: 50x
• instrument.margin_init: 3%

On a $10,000 account: the standard model blocks the trade; the leveraged model allows it.

Custom models

Subclass MarginModel and receive configuration through MarginModelConfig:

from decimal import Decimal

from nautilus_trader.backtest.config import MarginModelConfig
from nautilus_trader.backtest.models import MarginModel
from nautilus_trader.model.objects import Money


class RiskAdjustedMarginModel(MarginModel):
    def __init__(self, config: MarginModelConfig) -> None:
        self.risk_multiplier = Decimal(str(config.config.get("risk_multiplier", 1.0)))
        self.use_leverage = config.config.get("use_leverage", False)

    def calculate_margin_init(self, instrument, quantity, price, leverage, use_quote_for_inverse=False):
        notional = instrument.notional_value(quantity, price, use_quote_for_inverse)

        if self.use_leverage:
            adjusted = notional.as_decimal() / leverage
        else:
            adjusted = notional.as_decimal()

        margin = adjusted * instrument.margin_init * self.risk_multiplier
        return Money(margin, instrument.quote_currency)

    def calculate_margin_maint(self, instrument, side, quantity, price, leverage, use_quote_for_inverse=False):
        return self.calculate_margin_init(instrument, quantity, price, leverage, use_quote_for_inverse)

For backtest-wide configuration of the margin model via BacktestVenueConfig and MarginModelConfig, see the margin-models section of Backtesting.

Adapter convention

Live adapters translate venue responses into AccountBalance and MarginBalance instances. The convention that adapter authors must follow:

Building AccountBalance

Prefer the derived helpers so that clamping and the total == locked + free invariant are enforced centrally. Hand-computing three fields and passing them to AccountBalance::new is only appropriate for pass-through paths where all three values are already authoritative (e.g., tests).

Building MarginBalance

Pick the scope that matches what the venue reports:

Current live-adapter convention

Migration notes

1.226.0

MarginBalance.instrument_id became Optional[InstrumentId], and MarginAccount split its internal storage into per-instrument and account-wide stores. If your strategy previously used portfolio.margins_init(account_id=...) to discover cross-margin balances via synthetic IDs, migrate to:

account = portfolio.account(venue)

# All account-wide margins for this account
account_margins = account.account_margins_init()

# Specific collateral currency
usdc_margin = account.margin_init_for_currency(USDC)

# Sum of per-instrument + account-wide for a currency
total = account.total_margin_init(USDC)

The per-instrument query API (margin_init(instrument_id), margins_init()) is unchanged and now has strict per-instrument semantics.

Related guides

• Backtesting — starting balances, MarginModelConfig, and backtest-specific account setup.
• Portfolio — portfolio-level PnL, exposures, and currency conversion.
• Positions — position lifecycle, aggregation, and PnL.
• Adapters — requirements and best practices for adapter authors.