Closes #35

functions.py

@@ -45,7 +45,12 @@ Market data is provided by [IEX Cloud](https://iexcloud.io)
     def __init__(self, IEX_TOKEN: str):
         self.IEX_TOKEN = IEX_TOKEN
         self.get_symbol_list()
+        self.charts = {}
         schedule.every().monday.do(self.get_symbol_list)
+        schedule.every().day.do(self.clear_charts)
+
+    def clear_charts(self):
+        self.charts = {}
 
     def get_symbol_list(self, return_df=False):
         """
@@ -240,17 +245,25 @@ Market data is provided by [IEX Cloud](https://iexcloud.io)
             return df
 
     def chart_reply(self, symbol: str):
+        schedule.run_pending()
+
         if symbol.upper() not in list(self.symbol_list["symbol"]):
             return pd.DataFrame()
 
-        IEXurl = f"https://cloud.iexapis.com/stable/stock/{symbol}/chart/1mm?token={self.IEX_TOKEN}&chartInterval=3&includeToday=true"
-        print(IEXurl)
+        try:  # https://stackoverflow.com/a/3845776/8774114
+            return self.charts[symbol.upper()]
+        except KeyError:
+            pass
+
+        IEXurl = f"https://cloud.iexapis.com/stable/stock/{symbol}/chart/1mm?token={self.IEX_TOKEN}&chartInterval=3&includeToday=false"
         response = r.get(IEXurl)
+
         if response.status_code == 200:
             df = pd.DataFrame(response.json())
             df.dropna(inplace=True, subset=["date", "minute", "high", "low", "volume"])
             df["DT"] = pd.to_datetime(df["date"] + "T" + df["minute"])
             df = df.set_index("DT")
+            self.charts[symbol.upper()] = df
             return df
 
     def stat_reply(self, symbols: list):