diff --git a/example.py b/example.py
index 16a80ce..54a1e48 100644
--- a/example.py
+++ b/example.py
@@ -33,7 +33,10 @@
}
# Generate the HTML report
-reports.html(returns, output=output_file_path, parameters=example_parameters)
+html_result = reports.html(returns, output=output_file_path, parameters=example_parameters)
+
+# Print the HTML result
+print(html_result)
# Open the HTML file in a browser to visually inspect the output
os.system(f"open {output_file_path}")
diff --git a/quantstats_lumi/reports.py b/quantstats_lumi/reports.py
index d8332f4..705bef0 100644
--- a/quantstats_lumi/reports.py
+++ b/quantstats_lumi/reports.py
@@ -579,6 +579,11 @@ def html(
with open(output, "w", encoding="utf-8") as f:
f.write(tpl)
+ print(f"HTML report saved to: {output}")
+
+ # Return the metrics
+ return mtrx
+
def full(
returns,
@@ -733,7 +738,6 @@ def full(
active=active,
)
-
def basic(
returns,
benchmark=None,
@@ -1160,7 +1164,17 @@ def metrics(
)
* pct
)
- metrics["Win Days %%"] = _stats.win_rate(df, prepare_returns=False) * pct
+
+ # Get the win rate
+ win_rate = _stats.win_rate(df, prepare_returns=False)
+
+ # Number of win days in total
+ metrics["Win Days"] = win_rate * len(df)
+
+ # Number of loss days in total
+ metrics["Loss Days"] = len(df) - metrics["Win Days"]
+
+ metrics["Win Days %%"] = win_rate * pct
metrics["Win Month %%"] = (
_stats.win_rate(
df, compounded=compounded, aggregate="ME", prepare_returns=False
diff --git a/quantstats_lumi/version.py b/quantstats_lumi/version.py
index 63fe829..5189669 100644
--- a/quantstats_lumi/version.py
+++ b/quantstats_lumi/version.py
@@ -1 +1 @@
-version = "0.3.1"
+version = "0.3.2"
diff --git a/report.html b/report.html
index ce20582..c18b5be 100644
--- a/report.html
+++ b/report.html
@@ -284,7 +284,7 @@
Strategy Tearsheet 31 Jan, 2022 - 31 May, 2022
Generated by QuantStats (v.
- 0.3.0)
+ 0.3.1)