![Fetching Scrips using Symbol
and Exchange
scrip_response = sas_api.get_scrips(symbol='search_symbol_name', exchange=
['exchange_name'])
#Sample call of the function
scrip_response = sas_api.get_scrips(symbol='TCS', exchange=
[sas_api.EXCHANGE_NSE])
# SAMPLE RESPONSE
# {.....'exch': 'NSE', 'exchange': None, 'exchange_segment': 'nse_cm',
'symbol': 'TCS-EQ', 'token': '11536', 'instrument_name': 'TATA CONSULTANCY
SERV LT'....}
7](https://image.slidesharecdn.com/presentation2-221229150632-ca719328/85/Presentation-2-pptx-7-320.jpg)
![Placing and Squaring off Orders
9
# # Place Order placeorderresp = sas_api.place_order(complexty=sas_api.REGULAR_ORDER,
discqty='0', exch=sas_api.EXCHANGE_NSE, pCode='MIS', price='140.0', qty='1',
prctyp=sas_api.LIMIT_ORDER, ret='Enter_your_retention_type', trading_symbol='49234',
transtype=sas_api.BUY_ORDER, trigPrice='139.0')
# SAMPLE RESPONSE # {['stat': 'Ok', 'nestOrderNumber': '191015000018737']}
# # Square of position
squareoffresp = sas_api.squareoff_positions(exchange=sas_api.EXCHANGE_NSE,
symbol='49234', qty='0', pCode='MIS')
# SAMPLE RESPONSE
# {"stat": "Ok","nestOrderNumber:"200626000052824"}](https://image.slidesharecdn.com/presentation2-221229150632-ca719328/85/Presentation-2-pptx-9-320.jpg)
![Getting Positions and Orders
10
# Fetch Order Book orderresp = sas_api.order_data()
# ===>No Parameters are passed to get response
# SAMPLE RESPONSE # [{....... "Prc": "1454.90", "RequestID": "1", "Cancelqty": 0,
"discQtyPerc": "10", "Qty": 8, "Prctype": "SL", "Status": "rejected","Exchange":
"NSE" ,"Avgprc": "00.00", "Trgprc": "1450.90",.....}]
# This one get method and no input parameters and output will be bunch of data's are
shown on response
# Fetch Trade Book tradebookresp = sas_api.tradebook()
# ===>No Parameters are passed to get response # SAMPLE RESPONSE # This one also get
method and no input parameters and data's will be shown](https://image.slidesharecdn.com/presentation2-221229150632-ca719328/85/Presentation-2-pptx-10-320.jpg)
Presentation (2).pptx
- 2. What is Algo Trading? • Algorithmic trading combines computer programming and financial markets to execute trades at precise moments. • Algorithmic trading attempts to strip emotions out of trades, ensures the most efficient execution of a trade, places orders instantaneously and may lower trading fees. 2
- 3. • Common trading strategies include trend-following strategies, arbitrage opportunities, and index fund rebalancing. • Algorithmic trading is also executed based on trading volume (volume-weighted average price) or the passage of time (time-weighted average price). • To get started with algorithmic trading, you must have computer access, network access, financial market knowledge, and coding capabilities( Python preferred ). 3
- 4. Why Algo Trading? • Trades are executed at the best possible prices. • Trade order placement is instant and accurate (there is a high chance of execution at the desired levels). • Trades are timed correctly and instantly to avoid significant price changes. • Reduced transaction costs. • Reduced the possibility of mistakes by human traders based on emotional and psychological factors. • Reduced risk of manual errors when placing trades. • Strategies can be backtested using available historical and real-time data to see if it is a profitable trading strategy. 4
- 5. Algo Trading using ZEBU API
- 6. Logging in import requests import json import hashlib from zebullconnect.zebullapi import Zebullapi sas_api = Zebullapi(user_id='Your_user_id', api_key='Your_api_key') response = sas_api.getEncryptionKey() PRESENTATION TITLE 6 Installation of the Python API pip install --upgrade zebull
- 7. Fetching Scrips using Symbol and Exchange scrip_response = sas_api.get_scrips(symbol='search_symbol_name', exchange= ['exchange_name']) #Sample call of the function scrip_response = sas_api.get_scrips(symbol='TCS', exchange= [sas_api.EXCHANGE_NSE]) # SAMPLE RESPONSE # {.....'exch': 'NSE', 'exchange': None, 'exchange_segment': 'nse_cm', 'symbol': 'TCS-EQ', 'token': '11536', 'instrument_name': 'TATA CONSULTANCY SERV LT'....} 7
- 8. Available exchanges are as below # sas_api.EXCHANGE_NSE --- For NSE Cash # sas_api.EXCHANGE_NFO --- For NSE DERIVATIVES # sas_api.EXCHANGE_CDS --- For NSE Currency Derivatives # sas_api.EXCHANGE_BSE --- For BSE Cash # sas_api.EXCHANGE_BSE --- For BSE Derivatives # sas_api.EXCHANGE_BSE --- For BSE Currency Derivatives # sas_api.EXCHANGE_MCX --- For MCX Contracts 8
- 9. Placing and Squaring off Orders 9 # # Place Order placeorderresp = sas_api.place_order(complexty=sas_api.REGULAR_ORDER, discqty='0', exch=sas_api.EXCHANGE_NSE, pCode='MIS', price='140.0', qty='1', prctyp=sas_api.LIMIT_ORDER, ret='Enter_your_retention_type', trading_symbol='49234', transtype=sas_api.BUY_ORDER, trigPrice='139.0') # SAMPLE RESPONSE # {['stat': 'Ok', 'nestOrderNumber': '191015000018737']} # # Square of position squareoffresp = sas_api.squareoff_positions(exchange=sas_api.EXCHANGE_NSE, symbol='49234', qty='0', pCode='MIS') # SAMPLE RESPONSE # {"stat": "Ok","nestOrderNumber:"200626000052824"}
- 10. Getting Positions and Orders 10 # Fetch Order Book orderresp = sas_api.order_data() # ===>No Parameters are passed to get response # SAMPLE RESPONSE # [{....... "Prc": "1454.90", "RequestID": "1", "Cancelqty": 0, "discQtyPerc": "10", "Qty": 8, "Prctype": "SL", "Status": "rejected","Exchange": "NSE" ,"Avgprc": "00.00", "Trgprc": "1450.90",.....}] # This one get method and no input parameters and output will be bunch of data's are shown on response # Fetch Trade Book tradebookresp = sas_api.tradebook() # ===>No Parameters are passed to get response # SAMPLE RESPONSE # This one also get method and no input parameters and data's will be shown
- 11. Thank You Puneet Tewani CEO Fox Trading Solutions Cell : +919799871428 Email : info@foxtradingsolutions.com Twitter : @puneet_tewani PRESENTATION TITLE 11