from __future__ import annotations from pydantic import BaseModel class CryptoTraderJournalStatus(BaseModel): exists: bool fresh: bool age_seconds: int | None = None size_bytes: int = 0 class CryptoTraderStrategyStatus(BaseModel): strategy_id: str running: bool = False paper_only: bool = True env_ok: bool = False cmd_ok: bool = False pid: int | None = None runtime_dir: str | None = None trade_journal: str | None = None signal_journal: str | None = None journals: dict[str, CryptoTraderJournalStatus] = {} class HyperliquidPosition(BaseModel): coin: str strategy_id: str mode: str = "paper" side: str = "long" entry_price: str | None = None mark_price: str | None = None size: str | None = None notional_usd: str | None = None unrealized_pnl_usd: str | None = None unrealized_pnl_pct: str | None = None stop_loss: str | None = None take_profit: str | None = None mfe_pct: str | None = None mae_pct: str | None = None ticks_held: int | None = None opened_at: str | None = None status: str = "open" class HyperliquidClosedTrade(BaseModel): trade_id: str timestamp: str | None = None coin: str strategy_id: str side: str = "long" size: str | None = None entry_price: str | None = None exit_price: str | None = None net_pnl_usd: str | None = None gross_pnl_usd: str | None = None fees_usd: str | None = None funding_cost_usd: str | None = None exit_reason: str | None = None candles_held: int | None = None mode: str = "paper" class HyperliquidRiskCheck(BaseModel): key: str label: str status: str detail: str | None = None class HyperliquidPerformancePoint(BaseModel): timestamp: str paper_pnl_usd: str live_equity_usd: str | None = None class HyperliquidStrategyPerformance(BaseModel): strategy_id: str label: str closed_trades: int winrate_pct: str | None = None net_pnl_usd: str avg_pnl_usd: str | None = None status: str note: str class HyperliquidWarningExplanation(BaseModel): key: str severity: str title: str explanation: str action: str class CryptoTraderSignal(BaseModel): signal_id: str timestamp: str | None = None coin: str strategy_id: str signal: str confidence: str | None = None final_decision: str | None = None reason_summary: str horizon: str = "short_term" mode: str = "paper_only" data_quality: str = "unknown" approval_status: str = "not_requested" execution_allowed: bool = False class CryptoTraderScorecard(BaseModel): title: str status: str mode: str closed_trades: int = 0 net_pnl_usd: str | None = None winrate_pct: str | None = None profit_factor: str | None = None blockers: list[str] = [] live_allowed: bool = False class TradeIntent(BaseModel): intent_id: str created_at: str | None = None expires_at: str | None = None portfolio_id: str = "hyperliquid" source_engine: str = "CryptoTrader" strategy_id: str coin: str side: str = "long" signal: str = "BUY" confidence: str | None = None notional_usd: str | None = None entry_context: str stop_loss: str | None = None take_profit: str | None = None risk_usd: str | None = None expected_move_vs_cost: str | None = None status: str = "proposed" approval_status: str = "awaiting_approval" execution_allowed: bool = False warnings: list[str] = [] class TradeApprovalRequest(BaseModel): intent_id: str decision: str note: str = "" confirm: bool = False class TradeApprovalResponse(BaseModel): status: str approval_id: str intent_id: str decision: str message: str execution_allowed: bool = False audit_path: str | None = None class CryptoTraderStatus(BaseModel): bridge_status: str runtime_root: str source: str generated_at: str mode: str live_allowed: bool safety_summary: str processes: list[CryptoTraderStrategyStatus] open_positions_count: int signals_count: int scorecards_count: int warnings: list[str] = [] class HyperliquidPortfolioSnapshot(BaseModel): portfolio_id: str = "hyperliquid" label: str = "Hyperliquid" mode: str = "paper_only" base_currency: str = "USDC" live_allowed: bool = False kill_switch_status: str = "unknown" open_positions: list[HyperliquidPosition] = [] recent_closed_trades: list[HyperliquidClosedTrade] = [] risk_checks: list[HyperliquidRiskCheck] = [] performance_points: list[HyperliquidPerformancePoint] = [] strategy_performance: list[HyperliquidStrategyPerformance] = [] warning_explanations: list[HyperliquidWarningExplanation] = [] exposure_notional_usd: str = "0.00" unrealized_pnl_usd: str = "0.00" realized_pnl_usd: str = "0.00" closed_trades_count: int = 0 winrate_pct: str | None = None experimental_legacy_realized_pnl_usd: str | None = None experimental_legacy_closed_trades_count: int | None = None experimental_legacy_winrate_pct: str | None = None free_usdc: str | None = None equity_usdc: str | None = None margin_usage_pct: str | None = None open_orders_count: int = 0 stops_missing_count: int = 0 reconcile_status: str = "unknown" paper_trading_note: str = "Headline PnL uses recent true lifecycle paper exits; legacy synthetic paper exits are shown only as experimental context." metric_basis: str = "recent_true_lifecycle_window" approval_mode_recommendation: str = "Approval queue is for supervised live pilot only; normal paper/autonomous research should not wait for manual approval." approval_boundary: str = "Dashboard approves intents only; CryptoTrader must re-check gates before any execution." class CryptoTraderSnapshot(BaseModel): status: CryptoTraderStatus portfolio: HyperliquidPortfolioSnapshot signals: list[CryptoTraderSignal] trade_intents: list[TradeIntent] = [] scorecards: list[CryptoTraderScorecard] daily_report_excerpt: list[str] = []