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PublicSimulation

The lean, anonymous, allowlisted projection of a FROZEN Monte Carlo simulation. A simulation result is backtest-shaped, so this REUSES every PublicBacktest field (built field-by-field from the simulation's MEDIAN distributions and its median equity curve, de-based to index 100) and adds only a scenario label. Money is always relative (percent / index) — there is NO absolute capital/balance, no raw result/config, no ids, no owner PII, and no linked entities.

type PublicSimulation {
  projectionLevel: ShareProjectionLevel!
  strategyName: String!
  exchangeName: String
  timeframe: String
  totalReturnPct: Float
  winRatePct: Float
  totalTrades: Int!
  maxDrawdownPct: Float
  sharpe: Float
  sortino: Float
  calmar: Float
  cagrPct: Float
  profitFactor: Float
  pairCount: Int!
  startDate: Time
  endDate: Time
  backtestDays: Int
  equityCurve: [Float!]!
  scenarioLabel: String
}

Fields​

PublicSimulation.projectionLevel ● ShareProjectionLevel! non-null enum​

The publisher's chosen projection level (card = teaser, full = all safe fields).

PublicSimulation.strategyName ● String! non-null scalar​

Parent strategy human display name (never the mangled Freqtrade class name).

PublicSimulation.exchangeName ● String scalar​

Exchange NAME only (e.g. 'binance') from the seeding backtest — never keys or account data.

PublicSimulation.timeframe ● String scalar​

PublicSimulation.totalReturnPct ● Float scalar​

Median total return across all Monte Carlo runs, as a percent (never an absolute amount).

PublicSimulation.winRatePct ● Float scalar​

Median win rate across all runs, as a percent.

PublicSimulation.totalTrades ● Int! non-null scalar​

Trade sample size (from the seeding backtest); 0 when unknown.

PublicSimulation.maxDrawdownPct ● Float scalar​

Median max drawdown across all runs, as a percent.

PublicSimulation.sharpe ● Float scalar​

Median Sharpe across all runs (degenerate/near-infinite values are dropped).

PublicSimulation.sortino ● Float scalar​

Median Sortino across all runs.

PublicSimulation.calmar ● Float scalar​

PublicSimulation.cagrPct ● Float scalar​

PublicSimulation.profitFactor ● Float scalar​

Median profit factor across all runs.

PublicSimulation.pairCount ● Int! non-null scalar​

Pair count (from the seeding backtest); 0 when unknown.

PublicSimulation.startDate ● Time scalar​

PublicSimulation.endDate ● Time scalar​

PublicSimulation.backtestDays ● Int scalar​

PublicSimulation.equityCurve ● [Float!]! non-null scalar​

The MEDIAN (p50) simulated equity curve, de-based so the first point is index 100 (shape only).

PublicSimulation.scenarioLabel ● String scalar​

Human scenario label composed from the Monte Carlo method + iteration count (e.g. 'Bootstrap · 5,000 iterations'). Null when unavailable. Never the publisher's free-text simulation name/description.

Returned By​

publicSimulation query