Add output of which symbols have short/long term losses.

cciechad · Mar 24, 2024 · 2e4ecc2 · 2e4ecc2
1 parent fb240a2
commit 2e4ecc2
Showing 1 changed file with 2 additions and 0 deletions.
diff --git a/AnalyzeLots.py b/AnalyzeLots.py
@@ -31,7 +31,9 @@ def main() -> None:
             print(f"Net short term gain/loss {format_dollar(data.loc[is_short, 'gain'].sum())}")
             print(f"Net long term gain/loss {format_dollar(data.loc[is_long, 'gain'].sum())}")
             print(f"Total short term losses {format_dollar(data.loc[is_short & is_loss, 'gain'].sum())}")
+            print(f"{','.join(data.loc[is_short & is_loss, 'symbol'].unique().tolist())}")
             print(f"Total long term losses {format_dollar(data.loc[is_long & is_loss, 'gain'].sum())}")
+            print(f"{','.join(data.loc[is_long & is_loss, 'symbol'].unique().tolist())}")
         if args.symbol | args.no_summary:
             symbols: list[str] = data['symbol'].explode().unique().tolist()
             symbols_name: list[str] = data['display_name'].explode().unique().tolist()