feat: split portfolio chart into stacked bar chart above candle chart

- Create separate portfolio stacked bar chart (underlying + option value)
- Place portfolio chart above candle chart with same X axis alignment
- Make candle chart double height (h-[48rem] vs h-48 for portfolio)
- Portfolio chart shows underlying (gray) + option value (blue) as stacked bars
- Charts now render above the daily results table
This commit is contained in:
Bu5hm4nn
2026-04-06 18:50:41 +02:00
parent f00b1b7755
commit b546b59b33

View File

@@ -115,8 +115,54 @@ def validate_numeric_inputs(
return None
def _chart_options(result: BacktestPageRunResult) -> dict:
"""Create ECharts options for candlestick chart with portfolio value line."""
def _portfolio_chart_options(result: BacktestPageRunResult) -> dict:
"""Create ECharts options for stacked bar chart of portfolio value."""
template_result = result.run_result.template_results[0]
dates = [point.date.isoformat() for point in template_result.daily_path]
# Underlying value and option value for stacked bars
underlying_values = [round(point.underlying_value, 2) for point in template_result.daily_path]
option_values = [round(point.option_market_value, 2) for point in template_result.daily_path]
return {
"tooltip": {
"trigger": "axis",
"axisPointer": {"type": "shadow"},
},
"legend": {"data": ["Underlying", "Option Value"]},
"grid": {"left": "10%", "right": "10%", "top": "10%", "bottom": "15%"},
"xAxis": {
"type": "category",
"data": dates,
"axisLabel": {"show": False}, # Hide labels, will show on candle chart below
},
"yAxis": {
"type": "value",
"name": "Portfolio",
"position": "left",
"axisLabel": {"formatter": "${value}"},
},
"series": [
{
"name": "Underlying",
"type": "bar",
"stack": "total",
"data": underlying_values,
"itemStyle": {"color": "#64748b"}, # Slate gray
},
{
"name": "Option Value",
"type": "bar",
"stack": "total",
"data": option_values,
"itemStyle": {"color": "#0ea5e9"}, # Sky blue
},
],
}
def _candle_chart_options(result: BacktestPageRunResult) -> dict:
"""Create ECharts options for candlestick chart."""
template_result = result.run_result.template_results[0]
dates = [point.date.isoformat() for point in template_result.daily_path]
@@ -131,31 +177,24 @@ def _chart_options(result: BacktestPageRunResult) -> dict:
for point in template_result.daily_path
]
# Portfolio value data
portfolio_values = [round(point.net_portfolio_value, 2) for point in template_result.daily_path]
return {
"tooltip": {
"trigger": "axis",
"axisPointer": {"type": "cross"},
},
"legend": {"data": ["Price", "Portfolio Value"]},
"grid": {"right": "20%"},
"xAxis": {"type": "category", "data": dates, "axisLabel": {"rotate": 45}},
"yAxis": [
{
"type": "value",
"name": "Price",
"position": "left",
"scale": True,
},
{
"type": "value",
"name": "Portfolio Value",
"position": "right",
"scale": True,
},
],
"legend": {"data": ["Price"], "show": False},
"grid": {"left": "10%", "right": "10%", "top": "5%", "bottom": "20%"},
"xAxis": {
"type": "category",
"data": dates,
"axisLabel": {"rotate": 45},
},
"yAxis": {
"type": "value",
"name": "Price",
"position": "left",
"scale": True,
},
"series": [
{
"name": "Price",
@@ -168,20 +207,58 @@ def _chart_options(result: BacktestPageRunResult) -> dict:
"borderColor0": "#ef4444",
},
},
],
}
def _portfolio_chart_options_from_dict(result: dict) -> dict:
"""Create ECharts options from serialized job result dict."""
template_results = result.get("template_results", [])
first_template = template_results[0] if template_results else {}
daily_path = first_template.get("daily_path", [])
dates = [dp.get("date", "") for dp in daily_path]
underlying_values = [round(dp.get("underlying_value", 0), 2) for dp in daily_path]
option_values = [round(dp.get("option_market_value", 0), 2) for dp in daily_path]
return {
"tooltip": {
"trigger": "axis",
"axisPointer": {"type": "shadow"},
},
"legend": {"data": ["Underlying", "Option Value"]},
"grid": {"left": "10%", "right": "10%", "top": "10%", "bottom": "15%"},
"xAxis": {
"type": "category",
"data": dates,
"axisLabel": {"show": False},
},
"yAxis": {
"type": "value",
"name": "Portfolio",
"position": "left",
"axisLabel": {"formatter": "${value}"},
},
"series": [
{
"name": "Portfolio Value",
"type": "line",
"yAxisIndex": 1,
"smooth": True,
"data": portfolio_values,
"lineStyle": {"color": "#0ea5e9", "width": 2},
"symbol": "none",
"name": "Underlying",
"type": "bar",
"stack": "total",
"data": underlying_values,
"itemStyle": {"color": "#64748b"},
},
{
"name": "Option Value",
"type": "bar",
"stack": "total",
"data": option_values,
"itemStyle": {"color": "#0ea5e9"},
},
],
}
def _chart_options_from_dict(result: dict) -> dict:
def _candle_chart_options_from_dict(result: dict) -> dict:
"""Create ECharts options from serialized job result dict."""
template_results = result.get("template_results", [])
first_template = template_results[0] if template_results else {}
@@ -200,31 +277,24 @@ def _chart_options_from_dict(result: dict) -> dict:
for dp in daily_path
]
# Portfolio value data
portfolio_values = [round(dp.get("net_portfolio_value", 0), 2) for dp in daily_path]
return {
"tooltip": {
"trigger": "axis",
"axisPointer": {"type": "cross"},
},
"legend": {"data": ["Price", "Portfolio Value"]},
"grid": {"right": "20%"},
"xAxis": {"type": "category", "data": dates, "axisLabel": {"rotate": 45}},
"yAxis": [
{
"type": "value",
"name": "Price",
"position": "left",
"scale": True,
},
{
"type": "value",
"name": "Portfolio Value",
"position": "right",
"scale": True,
},
],
"legend": {"data": ["Price"], "show": False},
"grid": {"left": "10%", "right": "10%", "top": "5%", "bottom": "20%"},
"xAxis": {
"type": "category",
"data": dates,
"axisLabel": {"rotate": 45},
},
"yAxis": {
"type": "value",
"name": "Price",
"position": "left",
"scale": True,
},
"series": [
{
"name": "Price",
@@ -237,15 +307,6 @@ def _chart_options_from_dict(result: dict) -> dict:
"borderColor0": "#ef4444",
},
},
{
"name": "Portfolio Value",
"type": "line",
"yAxisIndex": 1,
"smooth": True,
"data": portfolio_values,
"lineStyle": {"color": "#0ea5e9", "width": 2},
"symbol": "none",
},
],
}
@@ -747,8 +808,13 @@ def _render_backtests_page(workspace_id: str | None = None) -> None:
ui.label(label).classes("text-sm text-slate-500 dark:text-slate-400")
ui.label(value).classes("text-2xl font-bold text-slate-900 dark:text-slate-100")
ui.echart(_chart_options(result)).classes(
"h-96 w-full rounded-2xl border border-slate-200 bg-white p-4 shadow-sm dark:border-slate-800 dark:bg-slate-900"
# Portfolio value stacked bar chart (above candle chart)
ui.echart(_portfolio_chart_options(result)).classes(
"h-48 w-full rounded-t-2xl border border-slate-200 bg-white p-4 shadow-sm dark:border-slate-800 dark:bg-slate-900"
)
# Candlestick chart (double height)
ui.echart(_candle_chart_options(result)).classes(
"h-[48rem] w-full rounded-b-2xl border border-t-0 border-slate-200 bg-white p-4 shadow-sm dark:border-slate-800 dark:bg-slate-900"
)
with ui.card().classes(
@@ -1072,6 +1138,17 @@ def _render_backtests_page(workspace_id: str | None = None) -> None:
ui.label(label).classes("text-sm text-slate-500 dark:text-slate-400")
ui.label(value).classes("text-2xl font-bold text-slate-900 dark:text-slate-100")
# Charts above table
if daily_path:
# Portfolio value stacked bar chart
ui.echart(_portfolio_chart_options_from_dict(result)).classes(
"h-48 w-full rounded-t-2xl border border-slate-200 bg-white p-4 shadow-sm dark:border-slate-800 dark:bg-slate-900"
)
# Candlestick chart (double height)
ui.echart(_candle_chart_options_from_dict(result)).classes(
"h-[48rem] w-full rounded-b-2xl border border-t-0 border-slate-200 bg-white p-4 shadow-sm dark:border-slate-800 dark:bg-slate-900"
)
# Daily path table
if daily_path:
with ui.card().classes(
@@ -1127,12 +1204,6 @@ def _render_backtests_page(workspace_id: str | None = None) -> None:
row_key="date",
).classes("w-full")
# Add candlestick chart with portfolio value
if daily_path:
ui.echart(_chart_options_from_dict(result)).classes(
"h-96 w-full rounded-2xl border border-slate-200 bg-white p-4 shadow-sm dark:border-slate-800 dark:bg-slate-900"
)
# Update cost estimate for Databento
if str(data_source_select.value) == "databento":
update_cost_estimate()