The document discusses algorithmic trading, which uses computer programs to execute trades automatically according to predefined rules. It describes common algorithmic trading strategies like trend-following and arbitrage. It also explains why algorithmic trading is used, such as executing trades at optimal prices instantly without human emotion. Finally, it provides examples of how to interface with an API to perform tasks like getting stock data, placing and canceling orders, and accessing trade and order information programmatically.

1. Algorithmic
Trading

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.
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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 ).
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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.
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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()
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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'....}
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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
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9. Placing and Squaring off Orders
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# # 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
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# 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
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