Update levels.py

levels.py

@@ -8,7 +8,7 @@ warnings.filterwarnings('ignore')
 
 df_logo = pd.read_csv("https://raw.githubusercontent.com/jarvisx17/nifty500/main/Nifty500.csv")
 
-async def calculate_profit(ltp, share, entry):
+def calculate_profit(ltp, share, entry):
   tgt1 = entry + (0.02 * entry)
   tgt2 = entry + (0.04 * entry)
   if ltp > tgt2:
@@ -21,17 +21,17 @@ async def calculate_profit(ltp, share, entry):
       profit = round(share * (ltp-entry), 2)
   return profit
 
-async def info(ticker):
+def info(ticker):
     data = df_logo[df_logo['Symbol'] == ticker]
     logo = data.logo.values[0]
     Industry = data.Industry.values[0]
     return logo, Industry
 
-async def calculate_percentage_loss(buying_price, ltp):
+def calculate_percentage_loss(buying_price, ltp):
     percentage_loss = ((ltp - buying_price) / buying_price) * 100
     return f"{percentage_loss:.2f}%"
 
-async def latestprice(ticker):
+def latestprice(ticker):
     ticker = ticker.split(".")[0]
     url = f"https://stock-market-lo24myw5sq-el.a.run.app/currentprice?ticker={ticker}"
     response = requests.get(url)
@@ -41,7 +41,7 @@ async def latestprice(ticker):
     else:
         return "N/A"
 
-async def process_dataframe(df):
+def process_dataframe(df):
 
     def get_rsi(close, lookback):
         ret = close.diff()
@@ -71,11 +71,11 @@ async def process_dataframe(df):
 
     return df
 
-async def fin_data(ticker, startdate):
+def fin_data(ticker, startdate):
 
-  ltp = await latestprice(ticker)
+  ltp = latestprice(ticker)
   df=yf.download(ticker, period="36mo", progress=False)
-  df = await process_dataframe(df)
+  df = process_dataframe(df)
   df.reset_index(inplace=True)
   df['Prev_RSI'] = df['RSI'].shift(1).round(2)
   df = df.dropna()
@@ -98,8 +98,8 @@ async def fin_data(ticker, startdate):
 
 def eqt(ticker, startdate, share_qty = 90):
 
-  df = await fin_data(ticker, startdate)
-  logo, Industry = await info(ticker)
+  df = fin_data(ticker, startdate)
+  logo, Industry = info(ticker)
   entry = False
   trading = False
   shares_held = 0
@@ -116,7 +116,7 @@ def eqt(ticker, startdate, share_qty = 90):
   capital_list = []
   data = {}
   totalshares = share_qty
-  ltp = await latestprice(ticker)
+  ltp = latestprice(ticker)
 
   for i in range(1, len(df)-1):
       try:
@@ -142,8 +142,8 @@ def eqt(ticker, startdate, share_qty = 90):
               ltp = entryStock_info['LTP']
               data['StockInfo']['Stock']['Values']['Share QTY'] = share_qty
               data['StockInfo']['Stock']['Values']['Invested Amount'] = (share_qty * buy_price).round(2)
-              data['StockInfo']['Stock']['Values']['Percentage'] = await calculate_percentage_loss(buying_price, ltp)
-              data['StockInfo']['Stock']['Values']['Total P/L'] = await calculate_profit(ltp, totalshares, buy_price)
+              data['StockInfo']['Stock']['Values']['Percentage'] = calculate_percentage_loss(buying_price, ltp)
+              data['StockInfo']['Stock']['Values']['Total P/L'] = calculate_profit(ltp, totalshares, buy_price)
               data['StockInfo']['Entry'] = entry_info
               entry = True
               trading = True
@@ -159,7 +159,7 @@ def eqt(ticker, startdate, share_qty = 90):
                   data['StockInfo']['TGT1'] = target1_info
                   data['StockInfo']['Stock']['Values']['SL'] = stop_loss
                   data['StockInfo']['Stock']['Levels'] = data['StockInfo']['Stock']['Levels'] + " TGT1"
-                  data['StockInfo']['Stock']['Values']['Total P/L'] = await calculate_profit(ltp, totalshares, buy_price)
+                  data['StockInfo']['Stock']['Values']['Total P/L'] = calculate_profit(ltp, totalshares, buy_price)
                   data['StockInfo']['Entry']['Trade Status'] = "Trading is ongoing...."
 
           if trading and target1 and not target2:
@@ -169,7 +169,7 @@ def eqt(ticker, startdate, share_qty = 90):
                   total_profit += round(tgt2,2)
                   shares_held -= (share_qty / 3)
                   data['StockInfo']['Stock']['Levels'] = data['StockInfo']['Stock']['Levels'] + " TGT2"
-                  data['StockInfo']['Stock']['Values']['Total P/L'] = await calculate_profit(ltp, totalshares, buy_price)
+                  data['StockInfo']['Stock']['Values']['Total P/L'] = calculate_profit(ltp, totalshares, buy_price)
                   target2_info = {"Date" : pd.to_datetime(df.at[i+1, 'Date']).strftime('%d-%m-%Y'), "Profit" : round(tgt2,2), "Remaining Shares": shares_held,"Note" : "TGT2 Achieved Successfully", "SL" : stop_loss}
                   data['StockInfo']['TGT2'] = target2_info
                   data['StockInfo']['Entry']['Trade Status']  = "Trading is ongoing...."
@@ -187,7 +187,7 @@ def eqt(ticker, startdate, share_qty = 90):
                       data['StockInfo']['Stock']['Values']['Target3'] = tgt3
                       data['StockInfo']['TGT3'] = target3_info
                       data['StockInfo']['Stock']['Levels'] = data['StockInfo']['Stock']['Levels'] +" TGT3"
-                      data['StockInfo']['Stock']['Values']['Total P/L'] = await calculate_profit(ltp, totalshares, buy_price)
+                      data['StockInfo']['Stock']['Values']['Total P/L'] = calculate_profit(ltp, totalshares, buy_price)
                       data['StockInfo']['TotalProfit'] = {}
                       data['StockInfo']['TotalProfit']['Profit'] = total_profit
                       data['StockInfo']['Entry']['Trade Status']  = "Trade closed successfully...."