feat(EXEC-001A): add named strategy templates
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@@ -6,6 +6,8 @@ from typing import Any
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from nicegui import ui
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from app.services.strategy_templates import StrategyTemplateService
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NAV_ITEMS: list[tuple[str, str, str]] = [
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("overview", "/", "Overview"),
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("hedge", "/hedge", "Hedge Analysis"),
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@@ -38,33 +40,7 @@ def portfolio_snapshot() -> dict[str, float]:
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def strategy_catalog() -> list[dict[str, Any]]:
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return [
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{
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"name": "protective_put",
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"label": "Protective Put",
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"description": "Full downside protection below the hedge strike with uncapped upside.",
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"estimated_cost": 6.25,
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"max_drawdown_floor": 210.0,
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"coverage": "High",
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},
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{
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"name": "collar",
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"label": "Collar",
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"description": "Lower premium by financing puts with covered call upside caps.",
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"estimated_cost": 2.10,
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"max_drawdown_floor": 208.0,
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"upside_cap": 228.0,
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"coverage": "Balanced",
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},
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{
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"name": "laddered_puts",
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"label": "Laddered Puts",
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"description": "Multiple maturities and strikes reduce roll concentration and smooth protection.",
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"estimated_cost": 4.45,
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"max_drawdown_floor": 205.0,
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"coverage": "Layered",
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},
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]
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return StrategyTemplateService().catalog_items()
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def quick_recommendations(portfolio: dict[str, Any] | None = None) -> list[dict[str, str]]:
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@@ -73,7 +49,7 @@ def quick_recommendations(portfolio: dict[str, Any] | None = None) -> list[dict[
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return [
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{
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"title": "Balanced hedge favored",
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"summary": "A collar keeps the current LTV comfortably below the margin threshold while limiting upfront spend.",
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"summary": "A 95% protective put balances margin-call protection with a lower upfront hedge cost.",
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"tone": "positive",
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},
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{
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