Create Order Book || Holdings || Positions || Details.py

Order Book || Holdings || Positions || Details.py

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+#!/usr/bin/env python
+
+
+
+
+
+from smartapi import SmartConnect
+apikey = 'api_key' # Intentially hidden
+username = 'username'
+pwd = 'password'
+
+obj=SmartConnect(api_key=apikey)
+data = obj.generateSession(username,pwd)
+refreshToken= data['data']['refreshToken']
+feedToken=obj.getfeedToken()
+userProfile= obj.getProfile(refreshToken)
+userProfile
+
+
+
+
+
+obj.tradeBook()
+
+
+# In[ ]:Object returns Tradebook 
+
+
+obj.orderBook()
+
+
+# In[ ]:Object returns orderbook
+
+
+obj.position()
+
+
+# In[ ]:The current position is returned
+
+
+obj.holding()
+
+
+# In[ ]:Holding is displayed
+
+
+obj.ltpData('NFO','NIFTY24JUN21FUT','48508') #Nifty futures expiry on JUN21
+
+
+# In[ ]:LTP and orther details are displayed
+
+
+import json
+import pandas as pd
+from datetime import datetime
+def historicaldata ():
+        try:
+            historicParam={
+            "exchange": "NSE",
+            "symboltoken": "3045",
+            "interval": "FIFTEEN_MINUTE",
+            "fromdate": "2021-05-11 09:15", 
+            "todate": "2021-05-12 10:30"
+            }
+
+            return obj.getCandleData(historicParam)
+        except Exception as e:
+            print("Historic Api failed: {}".format(e.message))
+
+
+# In[ ]:
+
+
+res_json = historicaldata()
+columns = ['timestamp','O','H','L','C','V']
+df = pd.DataFrame(res_json['data'], columns=columns)
+df['timestamp'] = pd.to_datetime(df['timestamp'],format = '%Y-%m-%dT%H:%M:%S')
+df
+
+
+# In[ ]:
+
+
+
+