├── README.md
└── lambda_function.py


/README.md:
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1 | # algoconvention
2 | AWS Lambda code to automate algo strategy using Chartink
3 | 
4 | ## PASTE THE CODE IN AWS Lambda code editor - Python version 3.7
5 | 
6 | 
7 | 


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/lambda_function.py:
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 1 | import json
 2 | import urllib
 3 | 
 4 | import requests
 5 | import redis
 6 | from kiteconnect import KiteConnect
 7 | 
 8 | kite = KiteConnect(api_key="<YOUR-API-KEY>", debug=True)
 9 | redis_con = redis.Redis(host="<REDIS-HOST>", port=6379, db=11, charset="utf-8", decode_responses=True, password="<PASSWORD>")
10 | 
11 | # def send_message_bot(chat_id, text):
12 | # 	url = 'https://api.telegram.org/<YOUR-BOT-TOKEN>/sendMessage'
13 | # 	r = requests.post(url, {'chat_id': chat_id, 'text': text}).json()
14 | 
15 | def set_token(request_token):
16 | 
17 |     data = kite.generate_session(request_token, api_secret="<ZERODHA-API-SECRET>")
18 |     redis_con.set("my_token", data["access_token"])
19 |     return data["access_token"]
20 | 
21 | def place_order(received_data, txn_type="BUY"):
22 | 
23 |     stock_id = [urllib.parse.quote_plus(ts) for ts in received_data['stocks'].split(',')]
24 |     place_at = [float(o) for o in received_data['trigger_prices'].split(',')]
25 |     stop_at, book_at = zip(*[(round(_ - _*0.01, 1), round(_ + _*0.01, 1)) for _ in place_at])
26 |     
27 |     if txn_type == "SELL":
28 |         stop_at, book_at = book_at, stop_at
29 | 
30 |     qty_to_buy = [int(500/abs(order_price - stop_loss)) for order_price, stop_loss in zip(place_at, stop_at)]
31 |     kite.set_access_token(redis_con.get("my_token"))
32 | 
33 |     for tradingsymbol, quantity, execute_at, sl, tg in zip(stock_id, qty_to_buy, place_at, stop_at, book_at):
34 |         order_id = kite.place_order(tradingsymbol=tradingsymbol, exchange="NSE", transaction_type=txn_type, quantity=quantity,
35 |         order_type="LIMIT", price=execute_at, trigger_price=sl, product="MIS", validity="DAY", disclosed_quantity=0, 
36 |         squareoff=0, stoploss=0, trailing_stoploss=0, variety='amo')
37 |         # send_message_bot(<YOUR-CHAT-ID>, "{} Order placed for {} at {}, SL: {}, TG: {}".format(txn_type, tradingsymbol, execute_at, sl, tg))
38 | 
39 | def lambda_handler(event, context):
40 | 
41 |     query_dict = event.get('queryStringParameters', {})
42 |     if event.get('rawPath') == '/set-token':
43 |         return {'access_token': set_token(query_dict.get('request_token')), 'msg': 'Token was set successfully.'}
44 |         
45 |     if event.get('rawPath') == '/webhook':
46 |         received_data = json.loads(event['body'])
47 |         
48 |         if received_data['scan_url'] == "near-day-high-108":
49 |             place_order(received_data, txn_type="BUY")
50 | 


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