drawdown calc update

app.py

@@ -295,7 +295,7 @@ def get_sd_df(sd_df, sd, bot_selections, dca1, dca2, dca3, dca4, dca5, dca6, fee
     sd_df['Cumulative P/L (-)'] = sd_df['Net P/L Per Trade (-)'].cumsum()
     return sd_df
     
-def get_account_drawdown(trades):
+def get_account_drawdown(trades, principal):
     max_draw = 0.0
     beg = 0 
     fin = 0 
@@ -308,9 +308,11 @@ def get_account_drawdown(trades):
                 max_draw = min(max_draw, delta.min())
                 beg = candidate 
                 fin = delta.argmin()
+                max_draw_perc = max_draw/(principal+trades[beg])
     except:
         max_draw = min(max_draw, trades)
-    return max_draw, (beg, fin)
+        max_draw_perc = max_draw/(principal_balance)
+    return 100*max_draw_perc, (beg, fin)
     
 def runapp() -> None:
             bot_selections = "Pure Bread"
@@ -409,7 +411,7 @@ def runapp() -> None:
                 df['Net P/L Per Trade'] = (df['Return Per Trade']-1)*df['Balance used in Trade']
                 df['Cumulative P/L'] = df['Net P/L Per Trade'].cumsum()
 
-                max_draw, (beg, fin) = get_account_drawdown(df['Cumulative P/L'])
+                max_draw, (beg, fin) = get_account_drawdown(df['Cumulative P/L'], principal_balance)
                 cum_pl = df.loc[df.dropna().index[-1],'Cumulative P/L'] + principal_balance
 
                 effective_return = 100*((cum_pl - principal_balance)/principal_balance)
@@ -559,7 +561,7 @@ def runapp() -> None:
                                 st.metric(
                                 "Max Account Drawdown",
                                     "",#f"{np.round(100*max_draw/principal_balance,2)/100*principal_balance:.2f}",
-                                    f"{np.round(100*max_draw/principal_balance,2)}%",
+                                    f"{np.round(max_draw)}%",
                                 )
 
             if bot_selections == "Pumpernickel":