fix: correct hedge equity math at downside scenarios
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@@ -114,7 +114,11 @@ def strategy_metrics(strategy_name: str, scenario_pct: int) -> dict[str, Any]:
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(item for item in strategy_catalog() if item["name"] == strategy_name),
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strategy_catalog()[0],
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)
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spot = demo_spot_price()
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portfolio = portfolio_snapshot()
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spot = float(portfolio["spot_price"])
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underlying_units = portfolio["gold_value"] / spot
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loan_amount = float(portfolio["loan_amount"])
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base_equity = float(portfolio["net_equity"])
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floor = float(strategy.get("max_drawdown_floor", spot * 0.95))
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cap = strategy.get("upside_cap")
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cost = float(strategy["estimated_cost"])
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@@ -128,19 +132,23 @@ def strategy_metrics(strategy_name: str, scenario_pct: int) -> dict[str, Any]:
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benefits.append(round(payoff - cost, 2))
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scenario_price = round(spot * (1 + scenario_pct / 100), 2)
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unhedged_equity = scenario_price * 1_000 - 145_000.0
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scenario_payoff = max(floor - scenario_price, 0.0)
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capped_upside = 0.0
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unhedged_equity = scenario_price * underlying_units - loan_amount
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scenario_payoff_per_unit = max(floor - scenario_price, 0.0)
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capped_upside_per_unit = 0.0
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if isinstance(cap, (int, float)) and scenario_price > float(cap):
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capped_upside = -(scenario_price - float(cap))
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hedged_equity = unhedged_equity + scenario_payoff + capped_upside - cost * 1_000
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capped_upside_per_unit = -(scenario_price - float(cap))
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option_payoff_cash = scenario_payoff_per_unit * underlying_units
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capped_upside_cash = capped_upside_per_unit * underlying_units
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hedge_cost_cash = cost * underlying_units
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hedged_equity = unhedged_equity + option_payoff_cash + capped_upside_cash - hedge_cost_cash
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waterfall_steps = [
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("Base equity", round(70_000.0, 2)),
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("Spot move", round((scenario_price - spot) * 1_000, 2)),
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("Option payoff", round(scenario_payoff * 1_000, 2)),
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("Call cap", round(capped_upside * 1_000, 2)),
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("Hedge cost", round(-cost * 1_000, 2)),
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("Base equity", round(base_equity, 2)),
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("Spot move", round((scenario_price - spot) * underlying_units, 2)),
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("Option payoff", round(option_payoff_cash, 2)),
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("Call cap", round(capped_upside_cash, 2)),
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("Hedge cost", round(-hedge_cost_cash, 2)),
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("Net equity", round(hedged_equity, 2)),
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]
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@@ -35,19 +35,20 @@ def _waterfall_options(metrics: dict) -> dict:
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steps = metrics["waterfall_steps"]
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running = 0.0
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base: list[float] = []
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values: list[float] = []
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for index, (_, amount) in enumerate(steps):
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values: list[dict[str, object]] = []
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for index, (label, amount) in enumerate(steps):
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if index == 0:
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base.append(0)
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values.append(amount)
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running = amount
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elif index == len(steps) - 1:
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base.append(0)
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values.append(amount)
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else:
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base.append(running)
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values.append(amount)
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running += amount
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color = "#0ea5e9" if label == "Net equity" else ("#22c55e" if amount >= 0 else "#ef4444")
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values.append({"value": amount, "itemStyle": {"color": color}})
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return {
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"tooltip": {"trigger": "axis", "axisPointer": {"type": "shadow"}},
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"xAxis": {"type": "category", "data": [label for label, _ in steps]},
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@@ -58,14 +59,12 @@ def _waterfall_options(metrics: dict) -> dict:
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"stack": "total",
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"data": base,
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"itemStyle": {"color": "rgba(0,0,0,0)"},
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"tooltip": {"show": False},
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},
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{
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"type": "bar",
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"stack": "total",
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"data": values,
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"itemStyle": {
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"color": "#22c55e",
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},
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},
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],
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}
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