beta feedback changes pt 1

app.py

@@ -130,11 +130,17 @@ def get_hist_info(df_coin, principal_balance,plheader):
     numtrades = int(len(df_coin))
     numwin = int(sum(df_coin[plheader] > 0))
     numloss = int(sum(df_coin[plheader] < 0))
-    winrate = int(np.round(100*numwin/numtrades,2))
+    if numtrades != 0:
+        winrate = int(np.round(100*numwin/numtrades,2))
+    else: 
+        winrate = np.nan
     
     grosswin = sum(df_coin[df_coin[plheader] > 0][plheader])
     grossloss = sum(df_coin[df_coin[plheader] < 0][plheader])
-    pfactor = -1*np.round(grosswin/grossloss,2)
+    if grossloss != 0:
+        pfactor = -1*np.round(grosswin/grossloss,2)
+    else: 
+        pfactor = np.nan
     return numtrades, numwin, numloss, winrate, pfactor
 
 @st.experimental_memo
@@ -385,6 +391,8 @@ def runapp() -> None:
 
                     start = df.iloc[0][dateheader] if (not startdate) else startdate
                     stop = df.iloc[len(df)-1][dateheader] if (not enddate) else enddate
+                    
+                    df = df[(df[dateheader] >= start) & (df[dateheader] <= stop)]
 
                     results_df = pd.DataFrame([], columns = ['Coin', '# of Trades', 'Wins', 'Losses', 'Win Rate', 
                                                              'Profit Factor', 'Cum. P/L', 'Cum. P/L (%)', 'Avg. P/L', 'Avg. P/L (%)'])