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(feat) improve returns histogram chart

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This commit is contained in:
drupman
2023-09-19 22:54:56 -03:00
parent 3af139104b
commit 75b9dc7ffb
1 changed files with 3 additions and 6 deletions
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9
pages/strategy_performance/app.py
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@@ -238,7 +238,6 @@ def intraday_performance(df: pd.DataFrame):
def returns_histogram(df: pd.DataFrame):
colors = [BULLISH_COLOR if val > 0 else BEARISH_COLOR for val in df["realized_pnl"]]
fig = go.Figure()
fig.add_trace(go.Histogram(name="Losses",
x=df.loc[df["realized_pnl"] < 0, "realized_pnl"],
@@ -246,16 +245,14 @@ def returns_histogram(df: pd.DataFrame):
fig.add_trace(go.Histogram(name="Profits",
x=df.loc[df["realized_pnl"] > 0, "realized_pnl"],
marker_color=BULLISH_COLOR))
fig.update_layout(title=dict(
text='Returns Histogram',
fig.update_layout(
title=dict(
text='Returns Distribution',
x=0.5,
# y=0.93,
xanchor="center",
# yanchor="bottom"
),
legend=dict(
orientation="h",
# entrywidth=70,
yanchor="bottom",
y=1.02,
xanchor="center",