Python
Last updated
Last updated
To install the OpenAlgo Python library, use pip:
pip install openalgoMake Sure that your OpenAlgo Application is running. Login to OpenAlgo Application with valid credentials and get the OpenAlgo apikey
For detailed function parameters refer to the
First, import the api class from the OpenAlgo library and initialize it with your API key:
from openalgo import api
# Replace 'your_api_key_here' with your actual API key
# Specify the host URL with your hosted domain or ngrok domain.
# If running locally in windows then use the default host value.
client = api(api_key='your_api_key_here', host='http://127.0.0.1:5000')
import openalgo
openalgo.__version__To place a new market order:
response = client.placeorder(
strategy="Python",
symbol="NHPC",
action="BUY",
exchange="NSE",
price_type="MARKET",
product="MIS",
quantity=1
)
print(response)
Place Market Order Response
{'orderid': '250408000989443', 'status': 'success'}To place a new limit order:
response = client.placeorder(
strategy="Python",
symbol="YESBANK",
action="BUY",
exchange="NSE",
price_type="LIMIT",
product="MIS",
quantity="1",
price="16",
trigger_price="0",
disclosed_quantity ="0",
)
print(response)Place Limit Order Response
{'orderid': '250408001003813', 'status': 'success'}To place a smart order considering the current position size:
response = client.placesmartorder(
strategy="Python",
symbol="TATAMOTORS",
action="SELL",
exchange="NSE",
price_type="MARKET",
product="MIS",
quantity=1,
position_size=5
)
print(response)
Place Smart Market Order Response
{'orderid': '250408000997543', 'status': 'success'}To place a new basket order:
basket_orders = [
{
"symbol": "BHEL",
"exchange": "NSE",
"action": "BUY",
"quantity": 1,
"pricetype": "MARKET",
"product": "MIS"
},
{
"symbol": "ZOMATO",
"exchange": "NSE",
"action": "SELL",
"quantity": 1,
"pricetype": "MARKET",
"product": "MIS"
}
]
response = client.basketorder(orders=basket_orders)
print(response)Basket Order Response
{
"status": "success",
"results": [
{
"symbol": "BHEL",
"status": "success",
"orderid": "250408000999544"
},
{
"symbol": "ZOMATO",
"status": "success",
"orderid": "250408000997545"
}
]
}
To place a new split order:
response = client.splitorder(
symbol="YESBANK",
exchange="NSE",
action="SELL",
quantity=105,
splitsize=20,
price_type="MARKET",
product="MIS"
)
print(response)
SplitOrder Response
{
"status": "success",
"split_size": 20,
"total_quantity": 105,
"results": [
{
"order_num": 1,
"orderid": "250408001021467",
"quantity": 20,
"status": "success"
},
{
"order_num": 2,
"orderid": "250408001021459",
"quantity": 20,
"status": "success"
},
{
"order_num": 3,
"orderid": "250408001021466",
"quantity": 20,
"status": "success"
},
{
"order_num": 4,
"orderid": "250408001021470",
"quantity": 20,
"status": "success"
},
{
"order_num": 5,
"orderid": "250408001021471",
"quantity": 20,
"status": "success"
},
{
"order_num": 6,
"orderid": "250408001021472",
"quantity": 5,
"status": "success"
}
]
}
To modify an existing order:
response = client.modifyorder(
order_id="250408001002736",
strategy="Python",
symbol="YESBANK",
action="BUY",
exchange="NSE",
price_type="LIMIT",
product="CNC",
quantity=1,
price=16.5
)
print(response)Modify Order Response
{'orderid': '250408001002736', 'status': 'success'}To cancel an existing order:
response = client.cancelorder(
order_id="250408001002736",
strategy="Python"
)
print(response)Cancelorder Response
{'orderid': '250408001002736', 'status': 'success'}To cancel all open orders and trigger pending orders
response = client.cancelallorder(
strategy="Python"
)
print(response)Cancelallorder Response
{
"status": "success",
"message": "Canceled 5 orders. Failed to cancel 0 orders.",
"canceled_orders": [
"250408001042620",
"250408001042667",
"250408001042642",
"250408001043015",
"250408001043386"
],
"failed_cancellations": []
}
To close all open positions across various exchanges
response = client.closeposition(
strategy="Python"
)
print(response)ClosePosition Response
{'message': 'All Open Positions Squared Off', 'status': 'success'}To Get the Current OrderStatus
response = client.orderstatus(
order_id="250408000989443",
strategy="Test Strategy"
)
print(response)Orderstatus Response
{
"status": "success",
"data": {
"orderid": "250408000989443",
"symbol": "RELIANCE",
"exchange": "NSE",
"action": "BUY",
"order_status": "complete",
"quantity": "1",
"price": 1186.0,
"pricetype": "MARKET",
"trigger_price": 0.0,
"product": "MIS",
"timestamp": "08-Apr-2025 13:58:03"
}
}
To Get the Current OpenPosition
response = client.openposition(
strategy="Test Strategy",
symbol="YESBANK",
exchange="NSE",
product="MIS"
)
print(response)OpenPosition Response
{'quantity': '-10', 'status': 'success'}response = client.quotes(symbol="RELIANCE", exchange="NSE")
print(response)Quotes response
{
"status": "success",
"data": {
"open": 1172.0,
"high": 1196.6,
"low": 1163.3,
"ltp": 1187.75,
"ask": 1188.0,
"bid": 1187.85,
"prev_close": 1165.7,
"volume": 14414545
}
}response = client.depth(symbol="SBIN", exchange="NSE")
print(response)Depth Response
{
"status": "success",
"data": {
"open": 760.0,
"high": 774.0,
"low": 758.15,
"ltp": 769.6,
"ltq": 205,
"prev_close": 746.9,
"volume": 9362799,
"oi": 161265750,
"totalbuyqty": 591351,
"totalsellqty": 835701,
"asks": [
{
"price": 769.6,
"quantity": 767
},
{
"price": 769.65,
"quantity": 115
},
{
"price": 769.7,
"quantity": 162
},
{
"price": 769.75,
"quantity": 1121
},
{
"price": 769.8,
"quantity": 430
}
],
"bids": [
{
"price": 769.4,
"quantity": 886
},
{
"price": 769.35,
"quantity": 212
},
{
"price": 769.3,
"quantity": 351
},
{
"price": 769.25,
"quantity": 343
},
{
"price": 769.2,
"quantity": 399
}
]
}
}
response = client.history(symbol="SBIN",
exchange="NSE",
interval="5m",
start_date="2025-04-01",
end_date="2025-04-08"
)
print(response)History Response
close high low open volume
timestamp
2025-04-01 09:15:00+05:30 772.50 774.00 763.20 766.50 318625
2025-04-01 09:20:00+05:30 773.20 774.95 772.10 772.45 197189
2025-04-01 09:25:00+05:30 775.15 775.60 772.60 773.20 227544
2025-04-01 09:30:00+05:30 777.35 777.50 774.85 775.15 134596
2025-04-01 09:35:00+05:30 778.00 778.00 776.25 777.50 145385
... ... ... ... ... ...
2025-04-08 14:00:00+05:30 768.25 770.70 767.85 768.50 142478
2025-04-08 14:05:00+05:30 769.10 769.80 766.60 768.15 128283
2025-04-08 14:10:00+05:30 769.05 769.85 768.40 769.10 119084
2025-04-08 14:15:00+05:30 770.05 770.50 769.05 769.05 158299
2025-04-08 14:20:00+05:30 769.95 770.50 769.40 770.05 125485
[437 rows x 5 columns]response = client.intervals()
print(response)Intervals response
{
"status": "success",
"data": {
"months": [],
"weeks": [],
"days": ["D"],
"hours": ["1h"],
"minutes": ["10m", "15m", "1m", "30m", "3m", "5m"],
"seconds": []
}
}response = client.symbol(
symbol="RELIANCE",
exchange="NSE"
)
print(response)Symbols Response
{
"status": "success",
"data": {
"id": 979,
"name": "RELIANCE",
"symbol": "RELIANCE",
"brsymbol": "RELIANCE-EQ",
"exchange": "NSE",
"brexchange": "NSE",
"instrumenttype": "",
"expiry": "",
"strike": -0.01,
"lotsize": 1,
"tick_size": 0.05,
"token": "2885"
}
}response = client.funds()
print(response)Funds Response
{
"status": "success",
"data": {
"availablecash": "320.66",
"collateral": "0.00",
"m2mrealized": "3.27",
"m2munrealized": "-7.88",
"utiliseddebits": "679.34"
}
}
response = client.orderbook()
print(response){
"status": "success",
"data": {
"orders": [
{
"action": "BUY",
"symbol": "RELIANCE",
"exchange": "NSE",
"orderid": "250408000989443",
"product": "MIS",
"quantity": "1",
"price": 1186.0,
"pricetype": "MARKET",
"order_status": "complete",
"trigger_price": 0.0,
"timestamp": "08-Apr-2025 13:58:03"
},
{
"action": "BUY",
"symbol": "YESBANK",
"exchange": "NSE",
"orderid": "250408001002736",
"product": "MIS",
"quantity": "1",
"price": 16.5,
"pricetype": "LIMIT",
"order_status": "cancelled",
"trigger_price": 0.0,
"timestamp": "08-Apr-2025 14:13:45"
}
],
"statistics": {
"total_buy_orders": 2.0,
"total_sell_orders": 0.0,
"total_completed_orders": 1.0,
"total_open_orders": 0.0,
"total_rejected_orders": 0.0
}
}
}
response = client.tradebook()
print(response)TradeBook Response
{
"status": "success",
"data": [
{
"action": "BUY",
"symbol": "RELIANCE",
"exchange": "NSE",
"orderid": "250408000989443",
"product": "MIS",
"quantity": 0.0,
"average_price": 1180.1,
"timestamp": "13:58:03",
"trade_value": 1180.1
},
{
"action": "SELL",
"symbol": "NHPC",
"exchange": "NSE",
"orderid": "250408001086129",
"product": "MIS",
"quantity": 0.0,
"average_price": 83.74,
"timestamp": "14:28:49",
"trade_value": 83.74
}
]
}
response = client.positionbook()
print(response)PositionBook Response
{
"status": "success",
"data": [
{
"symbol": "NHPC",
"exchange": "NSE",
"product": "MIS",
"quantity": "-1",
"average_price": "83.74",
"ltp": "83.72",
"pnl": "0.02"
},
{
"symbol": "RELIANCE",
"exchange": "NSE",
"product": "MIS",
"quantity": "0",
"average_price": "0.0",
"ltp": "1189.9",
"pnl": "5.90"
},
{
"symbol": "YESBANK",
"exchange": "NSE",
"product": "MIS",
"quantity": "-104",
"average_price": "17.2",
"ltp": "17.31",
"pnl": "-10.44"
}
]
}
response = client.holdings()
print(response)Holdings Response
{
"status": "success",
"data": {
"holdings": [
{
"symbol": "RELIANCE",
"exchange": "NSE",
"product": "CNC",
"quantity": 1,
"pnl": -149.0,
"pnlpercent": -11.1
},
{
"symbol": "TATASTEEL",
"exchange": "NSE",
"product": "CNC",
"quantity": 1,
"pnl": -15.0,
"pnlpercent": -10.41
},
{
"symbol": "CANBK",
"exchange": "NSE",
"product": "CNC",
"quantity": 5,
"pnl": -69.0,
"pnlpercent": -13.43
}
],
"statistics": {
"totalholdingvalue": 1768.0,
"totalinvvalue": 2001.0,
"totalprofitandloss": -233.15,
"totalpnlpercentage": -11.65
}
}
}
from openalgo import api
import time
# Initialize OpenAlgo client
client = api(
api_key="your_api_key", # Replace with your actual OpenAlgo API key
host="http://127.0.0.1:5000", # REST API host
ws_url="ws://127.0.0.1:8765" # WebSocket host
)
# Define instruments to subscribe for LTP
instruments = [
{"exchange": "NSE", "symbol": "RELIANCE"},
{"exchange": "NSE", "symbol": "INFY"}
]
# Callback function for LTP updates
def on_ltp(data):
print("LTP Update Received:")
print(data)
# Connect and subscribe
client.connect()
client.subscribe_ltp(instruments, on_data_received=on_ltp)
# Run for a few seconds to receive data
try:
time.sleep(10)
finally:
client.unsubscribe_ltp(instruments)
client.disconnect()
from openalgo import api
import time
# Initialize OpenAlgo client
client = api(
api_key="your_api_key", # Replace with your actual OpenAlgo API key
host="http://127.0.0.1:5000", # REST API host
ws_url="ws://127.0.0.1:8765" # WebSocket host
)
# Instruments list
instruments = [
{"exchange": "NSE", "symbol": "RELIANCE"},
{"exchange": "NSE", "symbol": "INFY"}
]
# Callback for Quote updates
def on_quote(data):
print("Quote Update Received:")
print(data)
# Connect and subscribe to quote stream
client.connect()
client.subscribe_quote(instruments, on_data_received=on_quote)
# Keep the script running to receive data
try:
time.sleep(10)
finally:
client.unsubscribe_quote(instruments)
client.disconnect()
from openalgo import api
import time
# Initialize OpenAlgo client
client = api(
api_key="your_api_key", # Replace with your actual OpenAlgo API key
host="http://127.0.0.1:5000", # REST API host
ws_url="ws://127.0.0.1:8765" # WebSocket host
)
# Instruments list for depth
instruments = [
{"exchange": "NSE", "symbol": "RELIANCE"},
{"exchange": "NSE", "symbol": "INFY"}
]
# Callback for market depth updates
def on_depth(data):
print("Market Depth Update Received:")
print(data)
# Connect and subscribe to depth stream
client.connect()
client.subscribe_depth(instruments, on_data_received=on_depth)
# Run for a few seconds to collect data
try:
time.sleep(10)
finally:
client.unsubscribe_depth(instruments)
client.disconnect()
Please refer to the documentation on , and consult the API reference for details on optional parameters