myntapi 0.0.3

This PIP package used for Algo traders

Mynt PIP package

mynt

• login
• logout

Symbols

• searchscrip
• get_security_info
• get_quotes
• get_time_price_series
• get_daily_price_series
• get_option_chain

Orders and Trades

• place_order
• modify_order
• cancel_order
• exit_order
• product_convertion
• get_orderbook
• get_tradebook
• get_singleorderhistory
• place_basket
• close_all_position

Holdings and Limits

• get_holdings
• get_positions
• get_limits

Calculators

• span_calculator
• get_option_greek

Websocket mt

• start_websocket
• subscribe
• unsubscribe

Example

• getting started
• Market Functions
• Orders and Trade

login(userid, password, twoFA, vendor_code, api_secret, imei)

connect to the broker, only once this function has returned successfully can any other operations be performed Example:

#credentials
user    = <uid>
pwd     = <password>
factor2 = <2nd factor>
vc      = <vendor code>
app_key = <secret key>
imei    = <imei>


from myntapi import app
import logging


mt=app()

logging.basicConfig(level=logging.DEBUG)
ret = mt.login(userid=uid, password=pwd, twoFA=factor2, vendor_code=vc, api_secret=app_key, imei=imei)

Request Details :

Json Fields	Possible value	Description
apkversion*		Application version.
uid*		User Id of the login user
pwd*		user entered password.
factor2*		DOB or PAN as entered by the user. (DOB should be in DD-MM-YYYY)
vc*		Vendor code provided by zebu team, along with go.mynt.in
api_secret*		you will get from go.mynt.in API key (app key)
imei*		Send mac if users logs in for desktop, imei is from mobile
addldivinf		Optional field, Value must be in below format:
ipaddr		Optional field
source	API

Response Details :

Json Fields	Possible value	Description
stat	Ok or Not_Ok	Login Success Or failure status
susertoken		It will be present only on login success. This data to be sent in subsequent requests in jKey field and web socket connection while connecting.
lastaccesstime		It will be present only on login success.
spasswordreset	Y	If Y Mandatory password reset to be enforced. Otherwise the field will be absent.
exarr		Json array of strings with enabled exchange names
uname		User name
prarr		Json array of Product Obj with enabled products, as defined below.
actid		Account id
email		Email Id
brkname		Broker id
emsg		This will be present only if Login fails.

Sample Success Response : { "request_time": "20:18:47 19-05-2020", "stat": "Ok", "susertoken": "3b97f4c67762259a9ded6dbd7bfafe2787e662b3870422ddd343a59895f423a0", "lastaccesstime": "1589899727" }

Sample Failure Response : { "request_time": "20:32:14 19-05-2020", "stat": "Not_Ok", "emsg": "Invalid Input : Wrong Password" }

logout()

Terminate the session

Example:

ret = mt.logout()

Request Details :

Json Fields	Possible value	Description
uid*		User Id of the login user

Response Details : Response data will be in json format with below fields.

Json Fields	Possible value	Description
stat	Ok or Not_Ok	Logout Success Or failure status
request_time		It will be present only on successful logout.
emsg		This will be present only if Logout fails.

Sample Success Response : { "stat":"Ok", "request_time":"10:43:41 28-05-2020" }

Sample Failure Response : { "stat":"Not_Ok", "emsg":"Server Timeout : " }

place_order(buy_or_sell, product_type,exchange, tradingsymbol, quantity, discloseqty, price_type, price=0.0, trigger_price=None, retention='DAY', amo='NO', remarks=None)

place an order to oms

Example:

ret = mt.place_order(buy_or_sell='S', product_type='C',
                        exchange='NSE', tradingsymbol='TCS-EQ', 
                        quantity=1, discloseqty=0,price_type='SL-LMT', price=2000.00, trigger_price=1990.50,
                        retention='DAY', remarks='Algo traders')

Request Details :

Json Fields	Possible value	Description
uid*		Logged in User Id
actid*		Login users account ID
exch*	NSE / NFO / BSE / MCX	Exchange (Select from ‘exarr’ Array provided in User Details response)
tsym*		Unique id of contract on which order to be placed. (use url encoding to avoid special char error for symbols like M&M)
qty*		Order Quantity
prc*		Order Price
trgprc		Only to be sent in case of SL / SL-M order.
dscqty		Disclosed quantity (Max 10% for NSE, and 50% for MCX)
prd*	C / M / H	Product name (Select from ‘prarr’ Array provided in User Details response, and if same is allowed for selected, exchange. Show product display name, for user to select, and send corresponding prd in mt call)
trantype*	B / S	B -> BUY, S -> SELL
prctyp*	LMT / MKT / SL-LMT / SL-MKT / DS / 2L / 3L
ret*	DAY / EOS / IOC	Retention type (Show options as per allowed exchanges)
remarks		Any tag by user to mark order.
ordersource	MOB / WEB / TT	Used to generate exchange info fields.
bpprc		Book Profit Price applicable only if product is selected as B (Bracket order )
blprc		Book loss Price applicable only if product is selected as H and B (High Leverage and Bracket order )
trailprc		Trailing Price applicable only if product is selected as H and B (High Leverage and Bracket order )
amo		Yes , If not sent, of Not “Yes”, will be treated as Regular order.
tsym2		Trading symbol of second leg, mandatory for price type 2L and 3L (use url encoding to avoid special char error for symbols like M&M)
trantype2		Transaction type of second leg, mandatory for price type 2L and 3L
qty2		Quantity for second leg, mandatory for price type 2L and 3L
prc2		Price for second leg, mandatory for price type 2L and 3L
tsym3		Trading symbol of third leg, mandatory for price type 3L (use url encoding to avoid special char error for symbols like M&M)
trantype3		Transaction type of third leg, mandatory for price type 3L
qty3		Quantity for third leg, mandatory for price type 3L
prc3		Price for third leg, mandatory for price type 3L

Response Details :

Response data will be in json format with below fields.

Json Fields	Possible value	Description
stat	Ok or Not_Ok	Place order success or failure indication.
request_time		Response received time.
norenordno		It will be present only on successful Order placement to OMS.
emsg		This will be present only if Order placement fails

Sample Success Response: { "request_time": "10:48:03 20-05-2020", "stat": "Ok", "norenordno": "20052000000017" }

Sample Error Response : { "stat": "Not_Ok", "request_time": "20:40:01 19-05-2020", "emsg": "Error Occurred : 2 "invalid input"" }

modify_order(orderno, exchange, tradingsymbol, newquantity,newprice_type, newprice, newtrigger_price, amo):

modify the quantity pricetype or price of an order

Example:

orderno = ret['norenordno'] #from placeorder return value
ret = mt.modify_order(exchange='NSE', tradingsymbol='CANBK-EQ', orderno=orderno,
                                   newquantity=2, newprice_type='MKT', newprice=0.00)
## sl modification
ret = mt.modify_order(exchange='NSE', tradingsymbol='CANBK-EQ', orderno=orderno,
                                   newquantity=2, newprice_type='SL-LMT', newprice=201.00, newtrigger_price=200.00)

Request Details :

Json Fields	Possible value	Description
exch*		Exchange
norenordno*		Noren order number, which needs to be modified
prctyp	LMT / MKT / SL-MKT / SL-LMT	This can be modified.
prc		Modified / New price
qty		Modified / New Quantity
tsym*		Unque id of contract on which order was placed. Can’t be modified, must be the same as that of original order. (use url encoding to avoid special char error for symbols like M&M)
ret	DAY / IOC / EOS	New Retention type of the order
trgprc		New trigger price in case of SL-MKT or SL-LMT
uid*		User id of the logged in user.
bpprc		Book Profit Price applicable only if product is selected as B (Bracket order )
blprc		Book loss Price applicable only if product is selected as H and B (High Leverage and Bracket order )
trailprc		Trailing Price applicable only if product is selected as H and B (High Leverage and Bracket order )

Response Details :

Response data will be in json format with below fields.

Json Fields	Possible value	Description
stat	Ok or Not_Ok	Modify order success or failure indication.
result		Noren Order number of the order modified.
request_time		Response received time.
emsg		This will be present only if Order modification fails

Sample Success Response : { "request_time":"14:14:08 26-05-2020", "stat":"Ok", "result":"20052600000103" }

Sample Failure Response : { "request_time":"16:03:29 28-05-2020", "stat":"Not_Ok", "emsg":"Rejected : ORA:Order not found" }

cancel_order(orderno)

cancel an order

Example:

orderno = ret['norenordno'] #from placeorder return value
ret = mt.cancel_order(orderno=orderno)

Request Details :

Json Fields	Possible value	Description
norenordno*		Noren order number, which needs to be modified
uid*		User id of the logged in user.

Response Details :

Response data will be in json format with below fields.

Json Fields	Possible value	Description
stat	Ok or Not_Ok	Cancel order success or failure indication.
result		Noren Order number of the canceled order.
request_time		Response received time.
emsg		This will be present only if Order cancelation fails

Sample Success Response : { "request_time":"14:14:10 26-05-2020", "stat":"Ok", "result":"20052600000103" }

Sample Failure Response : { "request_time":"16:01:48 28-05-2020", "stat":"Not_Ok", "emsg":"Rejected : ORA:Order not found to Cancel" }

exit_order(orderno)

exits a cover or bracket order

Request Details :

Json Fields	Possible value	Description
norenordno*		Noren order number, which needs to be modified
prd*	H / B	Allowed for only H and B products (Cover order and bracket order)
uid*		User id of the logged in user.

Response Details :

Response data will be in json format with below fields.

Json Fields	Possible value	Description
stat	Ok or Not_Ok	Cancel order success or failure indication.
dmsg		Display message, (will be present only in case of success).
request_time		Response received time.
emsg		This will be present only if Order cancelation fails

position_product_conversion(exchange, tradingsymbol, quantity, new_product_type, previous_product_type, buy_or_sell, day_or_cf)

Convert a product of a position

Example:

ret = mt.get_positions()
#converts the first position from existing product to intraday
p = ret[0]
ret = mt.position_product_conversion(p['exch'], p['tsym'], p['netqty'], 'I', p['prd'], 'S', 'DAY')

Request Details :

Json Fields	Possible value	Description
exch*		Exchange
tsym*		Unique id of contract on which order was placed. Can’t be modified, must be the same as that of original order. (use url encoding to avoid special char error for symbols like M&M)
qty*		Quantity to be converted.
uid*		User id of the logged in user.
actid*		Account id
prd*		Product to which the user wants to convert position.
prevprd*		Original product of the position.
trantype*		Transaction type
postype*	Day / CF	Converting Day or Carry forward position
ordersource	MOB	For Logging

Response Details :

Response data will be in json format with below fields.

Json Fields	Possible value	Description
stat	Ok or Not_Ok	Position conversion success or failure indication.
emsg		This will be present only if Position conversion fails.

Sample Success Response : { "request_time":"10:52:12 02-06-2020", "stat":"Ok" }

Sample Failure Response : { "stat":"Not_Ok", "emsg":"Invalid Input : Invalid Position Type" }

Order Book

List of Orders placed for the account

Example :

ret = mt.get_order_book()
print(ret)

Request Details :

Json Fields	Possible value	Description
uid*		Logged in User Id
prd	H / M / ...	Product name

Response Details :

Response data will be in json Array of objects with below fields in case of success.

Json Fields	Possible value	Description
stat	Ok or Not_Ok	Order book success or failure indication.
exch		Exchange Segment
tsym		Trading symbol / contract on which order is placed.
norenordno		Noren Order Number
prc		Order Price
qty		Order Quantity
prd		Display product alias name, using prarr returned in user details.
status
trantype	B / S	Transaction type of the order
prctyp	LMT / MKT	Price type
fillshares		Total Traded Quantity of this order
avgprc		Average trade price of total traded quantity
rejreason		If order is rejected, reason in text form
exchordid		Exchange Order Number
cancelqty		Canceled quantity for order which is in status cancelled.
remarks		Any message Entered during order entry.
dscqty		Order disclosed quantity.
trgprc		Order trigger price
ret	DAY / IOC / EOS	Order validity
uid
actid
bpprc		Book Profit Price applicable only if product is selected as B (Bracket order )
blprc		Book loss Price applicable only if product is selected as H and B (High Leverage and Bracket order )
trailprc		Trailing Price applicable only if product is selected as H and B (High Leverage and Bracket order )
amo		Yes / No
pp		Price precision
ti		Tick size
ls		Lot size
token		Contract Token
norentm
ordenttm
exch_tm
snoordt		0 for profit leg and 1 for stoploss leg
snonum		This field will be present for product H and B; and only if it is profit/sl order.

Response data will be in json format with below fields in case of failure:

Json Fields	Possible value	Description
stat	Not_Ok	Order book failure indication.
request_time		Response received time.
emsg		Error message

Sample Success Output : Success response : [ { “stat” : “Ok”, “exch” : “NSE” , “tsym” : “ACC-EQ” , “norenordno” : “20062500000001223”, “prc” : “127230”, “qty” : “100”, “prd” : “C”, “status”: “Open”, “trantype” : “B”, “prctyp” : ”LMT”, “fillshares” : “0”, “avgprc” : “0”, “exchordid” : “250620000000343421”, “uid” : “VIDYA”, “actid” : “CLIENT1”, “ret” : “DAY”, “amo” : “Yes” }, { “stat” : “Ok”, “exch” : “NSE” , “tsym” : “ABB-EQ” , “norenordno” : “20062500000002543”, “prc” : “127830”, “qty” : “50”, “prd” : “C”, “status”: “REJECT”, “trantype” : “B”, “prctyp” : ”LMT”, “fillshares” : “0”, “avgprc” : “0”, “rejreason” : “Insufficient funds” “uid” : “VIDYA”, “actid” : “CLIENT1”, “ret” : “DAY”, “amo” : “No” } ]

Sample Failure Response : { "stat":"Not_Ok", "emsg":"Session Expired : Invalid Session Key" }

Trade Book

List of Trades of the account

Example:

ret = mt.get_trade_book()
print(ret)

Request Details :

Json Fields	Possible value	Description
uid*		Logged in User Id
actid*		Account Id of logged in user

Response Details :

Response data will be in json Array of objects with below fields in case of success.

Json Fields	Possible value	Description
stat	Ok or Not_Ok	Order book success or failure indication.
exch		Exchange Segment
tsym		Trading symbol / contract on which order is placed.
norenordno		Noren Order Number
qty		Order Quantity
prd		Display product alias name, using prarr returned in user details.
trantype	B / S	Transaction type of the order
prctyp	LMT / MKT	Price type
fillshares		Total Traded Quantity of this order
avgprc		Average trade price of total traded quantity
exchordid		Exchange Order Number
remarks		Any message Entered during order entry.
ret	DAY / IOC / EOS	Order validity
uid
actid
pp		Price precision
ti		Tick size
ls		Lot size
cstFrm		Custom Firm
fltm		Fill Time
flid		Fill ID
flqty		Fill Qty
flprc		Fill Price
ordersource		Order Source
token		Token

Response data will be in json format with below fields in case of failure:

Json Fields	Possible value	Description
stat	Not_Ok	Order book failure indication.
request_time		Response received time.
emsg		Error message

Sample Success Output :

[ { "stat": "Ok", "norenordno": "20121300065715", "uid": "ZPXXXX", "actid": "ZPXXXX", "exch": "NSE", "prctyp": "LMT", "ret": "DAY", "prd": "M", "flid": "102", "fltm": "01-01-1980 00:00:00", "trantype": "S", "tsym": "ACCELYA-EQ", "qty": "180", "token": "7053", "fillshares": "180", "flqty": "180", "pp": "2", "ls": "1", "ti": "0.05", "prc": "800.00", "flprc": "800.00", "norentm": "19:59:32 13-12-2020", "exch_tm": "00:00:00 01-01-1980", "remarks": "Algo traders", "exchordid": "6857" }, { "stat": "Ok", "norenordno": "20121300065716", "uid": "ZPXXXX", "actid": "ZPXXXX", "exch": "NSE", "prctyp": "LMT", "ret": "DAY", "prd": "M", "flid": "101", "fltm": "01-01-1980 00:00:00", "trantype": "B", "tsym": "ACCELYA-EQ", "qty": "180", "token": "7053", "fillshares": "180", "flqty": "180", "pp": "2", "ls": "1", "ti": "0.05", "prc": "800.00", "flprc": "800.00", "norentm": "19:59:32 13-12-2020", "exch_tm": "00:00:00 01-01-1980", "remarks": "Algo traders", "exchordid": "6858" } ]

single order history(orderno)

history an order

orderno = ret['norenordno'] #from placeorder return value
ret = mt.single_order_history(orderno=orderno)

Request Details :

Json Fields	Possible value	Description
uid*		Logged in User Id
norenordno*		Noren Order Number

Response Details :

Response data will be in json Array of objects with below fields in case of success.

Json Fields	Possible value	Description
stat	Ok or Not_Ok	Order book success or failure indication.
exch		Exchange Segment
tsym		Trading symbol / contract on which order is placed.
norenordno		Noren Order Number
prc		Order Price
qty		Order Quantity
prd		Display product alias name, using prarr returned in user details.
status
rpt		(fill/complete etc)
trantype	B / S	Transaction type of the order
prctyp	LMT / MKT	Price type
fillshares		Total Traded Quantity of this order
avgprc		Average trade price of total traded quantity
rejreason		If order is rejected, reason in text form
exchordid		Exchange Order Number
cancelqty		Canceled quantity for order which is in status cancelled.
remarks		Any message Entered during order entry.
dscqty		Order disclosed quantity.
trgprc		Order trigger price
ret	DAY / IOC / EOS	Order validity
uid
actid
bpprc		Book Profit Price applicable only if product is selected as B (Bracket order )
blprc		Book loss Price applicable only if product is selected as H and B (High Leverage and Bracket order )
trailprc		Trailing Price applicable only if product is selected as H and B (High Leverage and Bracket order )
amo		Yes / No
pp		Price precision
ti		Tick size
ls		Lot size
token		Contract Token
norentm
ordenttm
exch_tm

Response data will be in json format with below fields in case of failure:

Json Fields	Possible value	Description
stat	Not_Ok	Order book failure indication.
request_time		Response received time.
emsg		Error message

Sample Success Output :

[ { "stat": "Ok", "norenordno": "20121300065716", "uid": "DEMO1", "actid": "DEMO1", "exch": "NSE", "tsym": "ACCELYA-EQ", "qty": "180", "trantype": "B", "prctyp": "LMT", "ret": "DAY", "token": "7053", "pp": "2", "ls": "1", "ti": "0.05", "prc": "800.00", "avgprc": "800.00", "dscqty": "0", "prd": "M", "status": "COMPLETE", "rpt": "Fill", "fillshares": "180", "norentm": "19:59:32 13-12-2020", "exch_tm": "00:00:00 01-01-1980", "remarks": "Algo traders", "exchordid": "6858" }, { "stat": "Ok", "norenordno": "20121300065716", "uid": "DEMO1", "actid": "DEMO1", "exch": "NSE", "tsym": "ACCELYA-EQ", "qty": "180", "trantype": "B", "prctyp": "LMT", "ret": "DAY", "token": "7053", "pp": "2", "ls": "1", "ti": "0.05", "prc": "800.00", "dscqty": "0", "prd": "M", "status": "OPEN", "rpt": "New", "norentm": "19:59:32 13-12-2020", "exch_tm": "00:00:00 01-01-1980", "remarks": "Algo traders", "exchordid": "6858" }, { "stat": "Ok", "norenordno": "20121300065716", "uid": "DEMO1", "actid": "DEMO1", "exch": "NSE", "tsym": "ACCELYA-EQ", "qty": "180", "trantype": "B", "prctyp": "LMT", "ret": "DAY", "token": "7053", "pp": "2", "ls": "1", "ti": "0.05", "prc": "800.00", "dscqty": "0", "prd": "M", "status": "PENDING", "rpt": "PendingNew", "norentm": "19:59:32 13-12-2020", "remarks": "Algo traders" }, { "stat": "Ok", "norenordno": "20121300065716", "uid": "DEMO1", "actid": "DEMO1", "exch": "NSE", "tsym": "ACCELYA-EQ", "qty": "180", "trantype": "B", "prctyp": "LMT", "ret": "DAY", "token": "7053", "pp": "2", "ls": "1", "ti": "0.05", "prc": "800.00", "prd": "M", "status": "PENDING", "rpt": "NewAck", "norentm": "19:59:32 13-12-2020", "remarks": "Algo traders" } ]

place_basket(order)

Order multiple scripts

order=[{'buy_or_sell': 'B', 'product_type': 'I', 'exchange': 'NSE', 'tradingsymbol': 'TCS-EQ', 'quantity': '1', 'discloseqty': '0', 'price_type': 'MKT', 'price': '0'},{'buy_or_sell': 'S', 'product_type': 'I', 'exchange': 'NSE', 'tradingsymbol': 'IDEA-EQ', 'quantity': '6', 'discloseqty': '0', 'price_type': 'MKT', 'price': '0'},{'buy_or_sell': 'B', 'product_type': 'I', 'exchange': 'NSE', 'tradingsymbol': 'SBIN-EQ', 'quantity': '5', 'discloseqty': '0', 'price_type': 'MKT', 'price': '0'}]


ret = mt.place_basket(order)


Response Details :
Response data will be in array format with below fields in case of Success:
[{'buy_or_sell': 'S', 'product_type': 'I', 'exchange': 'NSE', 'tradingsymbol': 'TCS-EQ', 'quantity': '1', 'discloseqty': '0', 'price_type': 'MKT', 'price': '0', 'request_time': '18:51:40 10-01-2024', 'stat': 'Ok', 'norenordno': '24011000052942'},{'buy_or_sell': 'S', 'product_type': 'I', 'exchange': 'NSE', 'tradingsymbol': 'IDEA-EQ', 'quantity': '1', 'discloseqty': '0', 'price_type': 'MKT', 'price': '0', 'request_time': '18:51:40 10-01-2024', 'stat': 'Ok', 'norenordno': '24011000052943'},{'buy_or_sell': 'S', 'product_type': 'I', 'exchange': 'NSE', 'tradingsymbol': 'SBIN-EQ', 'quantity': '1', 'discloseqty': '0', 'price_type': 'MKT', 'price': '0', 'request_time': '18:51:40 10-01-2024', 'stat': 'Ok', 'norenordno': '24011000052944'}]

close_all_position()

Close all positions

For close all position
ret = mt.close_all_position()

For close partially position
ore=[{
    "tradingsymbol":"TCS-EQ",
    "order_type":"MIS",
    "quantity" : "1"
    },
    {
    "tradingsymbol":"IDEA-EQ",
    "order_type":"MIS",
    "quantity" : "2"
    }]
ret = mt.close_all_position(ore)

Response data will be in array format with below fields in case of Success:
[{'buy_or_sell': 'S', 'product_type': 'I', 'exchange': 'NSE', 'tradingsymbol': 'TCS-EQ', 'quantity': '1', 'discloseqty': '0', 'price_type': 'MKT', 'price': '0', 'request_time': '18:51:40 10-01-2024', 'stat': 'Ok', 'norenordno': '24011000052942'},{'error': 'quantity is greater than position', 'tradingsymbol': 'IDEA-EQ', 'order_type': 'MIS'}]

get_holdings(product_type)

retrieves the holdings as a list

Example:

ret = mt.get_holdings()

Request Details :

Json Fields	Possible value	Description
uid*		Logged in User Id
actid*		Account id of the logged in user.
prd*		Product name

Response Details : Response data will be in json format with below fields in case of Success:

Json Fields	Possible value	Description
stat	Ok or Not_Ok	Holding request success or failure indication.
exch_tsym		Array of objects exch_tsym objects as defined below.
holdqty		Holding quantity
dpqty		DP Holding quantity
npoadqty		Non Poa display quantity
colqty		Collateral quantity
benqty		Beneficiary quantity
unplgdqty		Unpledged quantity
brkcolqty		Broker Collateral
btstqty		BTST quantity
btstcolqty		BTST Collateral quantity
usedqty		Holding used today
upldprc		Average price uploaded along with holdings
Notes:
Valuation : btstqty + holdqty + brkcolqty + unplgdqty + benqty + Max(npoadqty, dpqty) - usedqty
Salable: btstqty + holdqty + unplgdqty + benqty + dpqty - usedqty

Exch_tsym object:

Json Fields of object in values Array	Possible value	Description
exch	NSE, BSE, NFO ...	Exchange
tsym		Trading symbol of the scrip (contract)
token		Token of the scrip (contract)
pp		Price precision
ti		Tick size
ls		Lot size

Response data will be in json format with below fields in case of failure:

Json Fields	Possible value	Description
stat	Not_Ok	Position book request failure indication.
request_time		Response received time.
emsg		Error message

Sample Success Response : [
{ "stat":"Ok", "exch_tsym":[ { "exch":"NSE", "token":"13", "tsym":"ABB-EQ" } ], "holdqty":"2000000", "colqty":"200", "btstqty":"0", "btstcolqty":"0", "usedqty":"0", "upldprc" : "1800.00" }, { "stat":"Ok", "exch_tsym":[ { "exch":"NSE", "token":"22", "tsym":"ACC-EQ" } ], "holdqty":"2000000", "colqty":"200", "btstqty":"0", "btstcolqty":"0", "usedqty":"0", "upldprc" : "1400.00" } ]

Sample Failure Response : { "stat":"Not_Ok", "emsg":"Invalid Input : Missing uid or actid or prd." }

get_positions()

retrieves the overnight and day positions as a list

Example:

ret = mt.get_positions()
mtm = 0
pnl = 0
for i in ret:
    mtm += float(i['urmtom'])
    pnl += float(i['rpnl'])
    day_m2m = mtm + pnl
print(f'{day_m2m} is your Daily MTM')

Request Details :

Json Fields	Possible value	Description
uid*		Logged in User Id
actid*		Account id of the logged in user.

Response Details :

Response data will be in json format with Array of Objects with below fields in case of success.

Json Fields	Possible value	Description
stat	Ok or Not_Ok	Position book success or failure indication.
exch		Exchange segment
tsym		Trading symbol / contract.
token		Contract token
uid		User Id
actid		Account Id
prd		Product name to be shown.
netqty		Net Position quantity
netavgprc		Net position average price
daybuyqty		Day Buy Quantity
daysellqty		Day Sell Quantity
daybuyavgprc		Day Buy average price
daysellavgprc		Day buy average price
daybuyamt		Day Buy Amount
daysellamt		Day Sell Amount
cfbuyqty		Carry Forward Buy Quantity
cforgavgprc		Original Avg Price
cfsellqty		Carry Forward Sell Quantity
cfbuyavgprc		Carry Forward Buy average price
cfsellavgprc		Carry Forward Buy average price
cfbuyamt		Carry Forward Buy Amount
cfsellamt		Carry Forward Sell Amount
lp		LTP
rpnl		RealizedPNL
urmtom		UnrealizedMTOM.
bep		Break even price
openbuyqty
opensellqty
openbuyamt
opensellamt
openbuyavgprc
opensellavgprc
mult
pp
prcftr		gnpn/(gdpd).
ti		Tick size
ls		Lot size
request_time		This will be present only in a failure response.

Response data will be in json format with below fields in case of failure:

Json Fields	Possible value	Description
stat	Not_Ok	Position book request failure indication.
request_time		Response received time.
emsg		Error message

Sample Success Response : [ { "stat":"Ok", "uid":"POORNA", "actid":"POORNA", "exch":"NSE", "tsym":"ACC-EQ", "prarr":"C", "pp":"2", "ls":"1", "ti":"5.00", "mult":"1", "prcftr":"1.000000", "daybuyqty":"2", "daysellqty":"2", "daybuyamt":"2610.00", "daybuyavgprc":"1305.00", "daysellamt":"2610.00", "daysellavgprc":"1305.00", "cfbuyqty":"0", "cfsellqty":"0", "cfbuyamt":"0.00", "cfbuyavgprc":"0.00", "cfsellamt":"0.00", "cfsellavgprc":"0.00", "openbuyqty":"0", "opensellqty":"23", "openbuyamt":"0.00", "openbuyavgprc":"0.00", "opensellamt":"30015.00", "opensellavgprc":"1305.00", "netqty":"0", "netavgprc":"0.00", "lp":"0.00", "urmtom":"0.00", "rpnl":"0.00", "cforgavgprc":"0.00"

}

]

Sample Failure Response : { "stat":"Not_Ok", "request_time":"14:14:11 26-05-2020", "emsg":"Error Occurred : 5 "no data"" }

get_limits

retrieves the margin and limits set

Request Details:

Param	Type	Optional	Description
product_type	string	True	retreives the delivery holdings or for a given product
segment	string	True	CM / FO / FX
exchange	string	True	Exchange NSE/BSE/MCX

the response is as follows,

Param	Type	Optional	Description
stat	Ok or Not_Ok	False	Limits request success or failure indication.
actid	string	True	Account id
prd	string	True	Product name
seg	string	True	Segment CM / FO / FX
exch	string	True	Exchange
-------------------------Cash Primary Fields-------------------------------
cash	string	True	Cash Margin available
payin	string	True	Total Amount transferred using Payins today
payout	string	True	Total amount requested for withdrawal today
-------------------------Cash Additional Fields-------------------------------
brkcollamt	string	True	Prevalued Collateral Amount
unclearedcash	string	True	Uncleared Cash (Payin through cheques)
daycash	string	True	Additional leverage amount / Amount added to handle system errors - by broker.
-------------------------Margin Utilized----------------------------------
marginused	string	True	Total margin / fund used today
mtomcurper	string	True	Mtom current percentage
-------------------------Margin Used components---------------------
cbu	string	True	CAC Buy used
csc	string	True	CAC Sell Credits
rpnl	string	True	Current realized PNL
unmtom	string	True	Current unrealized mtom
marprt	string	True	Covered Product margins
span	string	True	Span used
expo	string	True	Exposure margin
premium	string	True	Premium used
varelm	string	True	Var Elm Margin
grexpo	string	True	Gross Exposure
greexpo_d	string	True	Gross Exposure derivative
scripbskmar	string	True	Scrip basket margin
addscripbskmrg	string	True	Additional scrip basket margin
brokerage	string	True	Brokerage amount
collateral	string	True	Collateral calculated based on uploaded holdings
grcoll	string	True	Valuation of uploaded holding pre haircut
-------------------------Additional Risk Limits---------------------------
turnoverlmt	string	True
pendordvallmt	string	True
-------------------------Additional Risk Indicators---------------------------
turnover	string	True	Turnover
pendordval	string	True	Pending Order value
-------------------------Margin used detailed breakup fields-------------------------
rzpnl_e_i	string	True	Current realized PNL (Equity Intraday)
rzpnl_e_m	string	True	Current realized PNL (Equity Margin)
rzpnl_e_c	string	True	Current realized PNL (Equity Cash n Carry)
rzpnl_d_i	string	True	Current realized PNL (Derivative Intraday)
rzpnl_d_m	string	True	Current realized PNL (Derivative Margin)
rzpnl_f_i	string	True	Current realized PNL (FX Intraday)
rzpnl_f_m	string	True	Current realized PNL (FX Margin)
rzpnl_c_i	string	True	Current realized PNL (Commodity Intraday)
rzpnl_c_m	string	True	Current realized PNL (Commodity Margin)
uzpnl_e_i	string	True	Current unrealized MTOM (Equity Intraday)
uzpnl_e_m	string	True	Current unrealized MTOM (Equity Margin)
uzpnl_e_c	string	True	Current unrealized MTOM (Equity Cash n Carry)
uzpnl_d_i	string	True	Current unrealized MTOM (Derivative Intraday)
uzpnl_d_m	string	True	Current unrealized MTOM (Derivative Margin)
uzpnl_f_i	string	True	Current unrealized MTOM (FX Intraday)
uzpnl_f_m	string	True	Current unrealized MTOM (FX Margin)
uzpnl_c_i	string	True	Current unrealized MTOM (Commodity Intraday)
uzpnl_c_m	string	True	Current unrealized MTOM (Commodity Margin)
span_d_i	string	True	Span Margin (Derivative Intraday)
span_d_m	string	True	Span Margin (Derivative Margin)
span_f_i	string	True	Span Margin (FX Intraday)
span_f_m	string	True	Span Margin (FX Margin)
span_c_i	string	True	Span Margin (Commodity Intraday)
span_c_m	string	True	Span Margin (Commodity Margin)
expo_d_i	string	True	Exposure Margin (Derivative Intraday)
expo_d_m	string	True	Exposure Margin (Derivative Margin)
expo_f_i	string	True	Exposure Margin (FX Intraday)
expo_f_m	string	True	Exposure Margin (FX Margin)
expo_c_i	string	True	Exposure Margin (Commodity Intraday)
expo_c_m	string	True	Exposure Margin (Commodity Margin)
premium_d_i	string	True	Option premium (Derivative Intraday)
premium_d_m	string	True	Option premium (Derivative Margin)
premium_f_i	string	True	Option premium (FX Intraday)
premium_f_m	string	True	Option premium (FX Margin)
premium_c_i	string	True	Option premium (Commodity Intraday)
premium_c_m	string	True	Option premium (Commodity Margin)
varelm_e_i	string	True	Var Elm (Equity Intraday)
varelm_e_m	string	True	Var Elm (Equity Margin)
varelm_e_c	string	True	Var Elm (Equity Cash n Carry)
marprt_e_h	string	True	Covered Product margins (Equity High leverage)
marprt_e_b	string	True	Covered Product margins (Equity Bracket Order)
marprt_d_h	string	True	Covered Product margins (Derivative High leverage)
marprt_d_b	string	True	Covered Product margins (Derivative Bracket Order)
marprt_f_h	string	True	Covered Product margins (FX High leverage)
marprt_f_b	string	True	Covered Product margins (FX Bracket Order)
marprt_c_h	string	True	Covered Product margins (Commodity High leverage)
marprt_c_b	string	True	Covered Product margins (Commodity Bracket Order)
scripbskmar_e_i	string	True	Scrip basket margin (Equity Intraday)
scripbskmar_e_m	string	True	Scrip basket margin (Equity Margin)
scripbskmar_e_c	string	True	Scrip basket margin (Equity Cash n Carry)
addscripbskmrg_d_i	string	True	Additional scrip basket margin (Derivative Intraday)
addscripbskmrg_d_m	string	True	Additional scrip basket margin (Derivative Margin)
addscripbskmrg_f_i	string	True	Additional scrip basket margin (FX Intraday)
addscripbskmrg_f_m	string	True	Additional scrip basket margin (FX Margin)
addscripbskmrg_c_i	string	True	Additional scrip basket margin (Commodity Intraday)
addscripbskmrg_c_m	string	True	Additional scrip basket margin (Commodity Margin)
brkage_e_i	string	True	Brokerage (Equity Intraday)
brkage_e_m	string	True	Brokerage (Equity Margin)
brkage_e_c	string	True	Brokerage (Equity CAC)
brkage_e_h	string	True	Brokerage (Equity High Leverage)
brkage_e_b	string	True	Brokerage (Equity Bracket Order)
brkage_d_i	string	True	Brokerage (Derivative Intraday)
brkage_d_m	string	True	Brokerage (Derivative Margin)
brkage_d_h	string	True	Brokerage (Derivative High Leverage)
brkage_d_b	string	True	Brokerage (Derivative Bracket Order)
brkage_f_i	string	True	Brokerage (FX Intraday)
brkage_f_m	string	True	Brokerage (FX Margin)
brkage_f_h	string	True	Brokerage (FX High Leverage)
brkage_f_b	string	True	Brokerage (FX Bracket Order)
brkage_c_i	string	True	Brokerage (Commodity Intraday)
brkage_c_m	string	True	Brokerage (Commodity Margin)
brkage_c_h	string	True	Brokerage (Commodity High Leverage)
brkage_c_b	string	True	Brokerage (Commodity Bracket Order)
peak_mar	string	True	Peak margin used by the client
request_time	string	True	This will be present only in a successful response.
emsg	string	True	This will be present only in a failure response.

Sample Success Response : { "request_time":"18:07:31 29-05-2020", "stat":"Ok", "cash":"1500000000000000.00", "payin":"0.00", "payout":"0.00", "brkcollamt":"0.00", "unclearedcash":"0.00", "daycash":"0.00", "turnoverlmt":"50000000000000.00", "pendordvallmt":"2000000000000000.00", "turnover":"3915000.00", "pendordval":"2871000.00", "marginused":"3945540.00", "mtomcurper":"0.00", "urmtom":"30540.00", "grexpo":"3915000.00", "uzpnl_e_i":"15270.00", "uzpnl_e_m":"61080.00", "uzpnl_e_c":"-45810.00" }

Sample Failure Response : { "stat":"Not_Ok", "emsg":"Server Timeout : " } Market Info

span_calculator(actid,positionlist)

This calculates the margin requirement for a list of input positions.

Example:

ret = mt.span_calculator(actid,positionlist)

Request Details :

Json Fields	Possible value	Description
actid*		Any Account id, preferably actual account id if sending from post login screen.
pos*		Array of json objects. (object fields given in below table)

Position structure as follows:

Json Fields	Possible value	Description
prd	C / M / H	Product
exch	NFO, CDS, MCX ...	Exchange
instname	FUTSTK, FUTIDX, OPTSTK, FUTCUR...	Instrument name
symname	USDINR, ACC, ABB,NIFTY..	Symbol name
exd	29-DEC-2022	DD-MMM-YYYY format
optt	CE, PE	Option Type
strprc	11900.00, 71.0025	Strike price
buyqty		Buy Open Quantity
sellqty		Sell Open Quantity
netqty		Net traded quantity

Response Details :

Json Fields	Possible value	Description
stat	Ok or Not_Ok	Market watch success or failure indication.
span		Span value
expo		IExposure margin
span_trade		Span value ignoring input fields buyqty, sellqty
expo_trade		Exposure margin ignoring input fields buyqty, sellqty

Sample Success Response : { "request_time": "11:01:59 25-11-2022", "stat": "Ok", "span": "19416.00", "expo": "4338.34", "span_trade": "19416.00", "expo_trade": "4338.34" }

get_option_greek(expiredate,StrikePrice,SpotPrice,InitRate,Volatility,OptionType)

Options greeeks computed the delta, thetha, vega , rho values.

Example:

ret = mt.option_greek(expiredate ='24-NOV-2022',StrikePrice='150',SpotPrice  = '200',InitRate  = '100',Volatility = '10',OptionType='5')

Request Details :

Json Fields	Possible value	Description
exd*		Expiry Date
strprc*		Strike Price
sptprc*		Spot Price
int_rate*		Init Rate
volatility*		Volatility
optt		Option Type

Response Details :

Json Fields	Possible value	Description
stat	Ok or Not_Ok	success or failure indication.
request_time		This will be present only in a successful response.
cal_price		Cal Price
put_price		Put Price
cal_delta		Cal Delta
put_delta		Put Delta
cal_gamma		Cal Gamma
put_gamma		Put Gamma
cal_theta		Cal Theta
put_theta		Put Theta
cal_delta		Cal Delta
cal_rho		Cal Rho
put_rho		Put Rho
cal_vego		Cal Vego
put_vego		Put Vego

Sample Success Response : { "request_time":"17:22:58 28-07-2021", "stat":"OK", "cal_price":"1441", "put_price":"0.417071", "cal_delta":"0.997304", "put_delta":"-0.002696", "cal_gamma":"0.000001", "put_gamma":"0.000001", "cal_theta":"-31.535015", "put_theta":"-31.401346", "cal_rho":"0.000119", "put_rho":"-0.016590", "cal_vego":"0.006307", put_vego":"0.006307" }

Sample Failure Response : { "stat":"Not_Ok", "emsg":"Invalid Input : jData is Missing." }

searchscrip(exchange, searchtext):

Search for scrip or contract and its properties

The call can be made to get the exchange provided token for a scrip or alternately can search for a partial string to get a list of matching scrips Trading Symbol:

SymbolName + ExpDate + 'F' for all data having InstrumentName starting with FUT

SymbolName + ExpDate + 'P' + StrikePrice for all data having InstrumentName starting with OPT and with OptionType PE

SymbolName + ExpDate + 'C' + StrikePrice for all data having InstrumentName starting with OPT and with OptionType C

For MCX, F to be ignored for FUT instruments

Example:

exch  = 'NFO'
query = 'BANKNIFTY 30DEC CE' # multiple criteria to narrow results 
ret = mt.searchscrip(exchange=exch, searchtext=query)

if ret != None:
    symbols = ret['values']
    for symbol in symbols:
        print('{0} token is {1}'.format(symbol['tsym'], symbol['token']))

Example 2:

mt.searchscrip(exchange='NSE', searchtext='REL')

This will reply as following

{
    "stat": "Ok",
    "values": [
        {
            "exch": "NSE",
            "token": "18069",
            "tsym": "REL100NAV-EQ"
        },
        {
            "exch": "NSE",
            "token": "24225",
            "tsym": "RELAXO-EQ"
        },
        {
            "exch": "NSE",
            "token": "4327",
            "tsym": "RELAXOFOOT-EQ"
        },
        {
            "exch": "NSE",
            "token": "18068",
            "tsym": "RELBANKNAV-EQ"
        },
        {
            "exch": "NSE",
            "token": "2882",
            "tsym": "RELCmtTAL-EQ"
        },
        {
            "exch": "NSE",
            "token": "18070",
            "tsym": "RELCONSNAV-EQ"
        },
        {
            "exch": "NSE",
            "token": "18071",
            "tsym": "RELDIVNAV-EQ"
        },
        {
            "exch": "NSE",
            "token": "18072",
            "tsym": "RELGOLDNAV-EQ"
        },
        {
            "exch": "NSE",
            "token": "2885",
            "tsym": "RELIANCE-EQ"
        },
        {
            "exch": "NSE",
            "token": "15068",
            "tsym": "RELIGARE-EQ"
        },
        {
            "exch": "NSE",
            "token": "553",
            "tsym": "RELINFRA-EQ"
        },
        {
            "exch": "NSE",
            "token": "18074",
            "tsym": "RELNV20NAV-EQ"
        }
    ]
}

Request Details :

Json Fields	Possible value	Description
uid*		Logged in User Id
stext*		Search Text
exch		Exchange (Select from ‘exarr’ Array provided in User Details response)

Response Details :

Response data will be in json format with below fields.

Json Fields	Possible value	Description
stat	Ok or Not_Ok	Market watch success or failure indication.
values		Array of json objects. (object fields given in below table)
emsg		This will be present only in case of errors.

Json Fields of object in values Array	Possible value	Description
exch	NSE, BSE, NFO ...	Exchange
tsym		Trading symbol of the scrip (contract)
token		Token of the scrip (contract)
pp		Price precision
ti		Tick size
ls		Lot size

Sample Success Response :

{ "stat": "Ok", "values": [ { "exch": "NSE", "token": "18069", "tsym": "REL100NAV-EQ" }, { "exch": "NSE", "token": "24225", "tsym": "RELAXO-EQ" }, { "exch": "NSE", "token": "4327", "tsym": "RELAXOFOOT-EQ" }, { "exch": "NSE", "token": "18068", "tsym": "RELBANKNAV-EQ" }, { "exch": "NSE", "token": "2882", "tsym": "RELCmtTAL-EQ" }, { "exch": "NSE", "token": "18070", "tsym": "RELCONSNAV-EQ" }, { "exch": "NSE", "token": "18071", "tsym": "RELDIVNAV-EQ" }, { "exch": "NSE", "token": "18072", "tsym": "RELGOLDNAV-EQ" }, { "exch": "NSE", "token": "2885", "tsym": "RELIANCE-EQ" }, { "exch": "NSE", "token": "15068", "tsym": "RELIGARE-EQ" }, { "exch": "NSE", "token": "553", "tsym": "RELINFRA-EQ" }, { "exch": "NSE", "token": "18074", "tsym": "RELNV20NAV-EQ" } ] }

Sample Failure Response : { "stat":"Not_Ok", "emsg":"No Data : " }

get_security_info(exchange, token):

gets the complete details and its properties

Example:

exch  = 'NSE'
token = '22'
ret = mt.get_security_info(exchange=exch, token=token)

Request Details :

Json Fields	Possible value	Description
uid*		Logged in User Id
exch		Exchange
token		Contract Token

Response Details :

Response data will have below fields.

Json Fields	Possible value	Description
request_time		It will be present only in a successful response.
stat	Ok or Not_Ok	Market watch success or failure indication.
exch	NSE, BSE, NFO ...	Exchange
tsym		Trading Symbol
cname		Company Name
symnam		Symbol Name
seg		Segment
exd		Expiry Date
instname		Intrument Name
strprc		Strike Price
optt		Option Type
isin		ISIN
ti		Tick Size
ls		Lot Size
pp		Price precision
mult		Multiplier
gp_nd		gn/gd * pn/pd
prcunt		Price Units
prcqqty		Price Quote Qty
trdunt		Trade Units
delunt		Delivery Units
frzqty		Freeze Qty
gsmind		scripupdate Gsm Ind
elmbmrg		Elm Buy Margin
elmsmrg		Elm Sell Margin
addbmrg		Additional Long Margin
addsmrg		Additional Short Margin
splbmrg		Special Long Margin
splsmrg		Special Short Margin
delmrg		Delivery Margin
tenmrg		Tender Margin
tenstrd		Tender Start Date
tenendd		Tender End Eate
exestrd		Exercise Start Date
exeendd		Exercise End Date
elmmrg		Elm Margin
varmrg		Var Margin
expmrg		Exposure Margin
token		Contract Token
prcftr_d		((GN / GD) * (PN/PD))

Sample Success Response : { "request_time": "17:43:38 31-10-2020", "stat": "Ok", "exch": "NSE", "tsym": "ACC-EQ", "cname": "ACC LIMITED", "symname": "ACC", "seg": "EQT", "instname": "EQ", "isin": "INE012A01025", "pp": "2", "ls": "1", "ti": "0.05", "mult": "1", "prcftr_d": "(1 / 1 ) * (1 / 1)", "trdunt": "", "delunt": "ACC", "token": "22", "varmrg": "40.00" }

Sample Failure Response : { "stat":"Not_Ok", "request_time":"10:50:54 10-12-2020", "emsg":"Error Occurred : 5 "no data"" }

get_quotes(exchange, token):

gets the complete details and its properties

Example:

exch  = 'NSE'
token = '22'
ret = mt.get_quotes(exchange=exch, token=token)

Request Details :

Json Fields	Possible value	Description
uid*		Logged in User Id
exch		Exchange
token		Contract Token

Response Details :

Response data will be in json format with below fields.

Json Fields	Possible value	Description
stat	Ok or Not_Ok	Watch list update success or failure indication.
request_time		It will be present only in a successful response.
exch	NSE, BSE, NFO ...	Exchange
tsym		Trading Symbol
cname		Company Name
symname		Symbol Name
seg		Segment
instname		Instrument Name
isin		ISIN
pp		Price precision
ls		Lot Size
ti		Tick Size
mult		Multiplier
uc		Upper circuit limitlc
lc		Lower circuit limit
prcftr_d		Price factor
token		Token
lp		LTP
o		Open Price
h		Day High Price
l		Day Low Price
v		Volume
ltq		Last trade quantity
ltt		Last trade time
bp1		Best Buy Price 1
sp1		Best Sell Price 1
bp2		Best Buy Price 2
sp2		Best Sell Price 2
bp3		Best Buy Price 3
sp3		Best Sell Price 3
bp4		Best Buy Price 4
sp4		Best Sell Price 4
bp5		Best Buy Price 5
sp5		Best Sell Price 5
bq1		Best Buy Quantity 1
sq1		Best Sell Quantity 1
bq2		Best Buy Quantity 2
sq2		Best Sell Quantity 2
bq3		Best Buy Quantity 3
sq3		Best Sell Quantity 3
bq4		Best Buy Quantity 4
sq4		Best Sell Quantity 4
bq5		Best Buy Quantity 5
sq5		Best Sell Quantity 5
bo1		Best Buy Orders 1
so1		Best Sell Orders 1
bo2		Best Buy Orders 2
so2		Best Sell Orders 2
bo3		Best Buy Orders 3
so3		Best Sell Orders 3
bo4		Best Buy Orders 4
so4		Best Sell Orders 4
bo5		Best Buy Orders 5
so5		Best Sell Orders 5

Sample Success Response : { "request_time":"12:05:21 18-05-2021", "stat":"Ok" ,"exch":"NSE", "tsym":"ACC-EQ", "cname":"ACC LIMITED", "symname":"ACC", "seg":"EQT", "instname":"EQ", "isin":"INE012A01025", "pp":"2", "ls":"1", "ti":"0.05", "mult":"1", "uc":"2093.95", "lc":"1713.25", "prcftr_d":"(1 / 1 ) * (1 / 1)", "token":"22", "lp":"0.00", "h":"0.00", "l":"0.00", "v":"0", "ltq":"0", "ltt":"05:30:00", "bp1":"2000.00", "sp1":"0.00", "bp2":"0.00", "sp2":"0.00", "bp3":"0.00", "sp3":"0.00", "bp4":"0.00", "sp4":"0.00", "bp5":"0.00", "sp5":"0.00", "bq1":"2", "sq1":"0", "bq2":"0", "sq2":"0", "bq3":"0", "sq3":"0", "bq4":"0", "sq4":"0", "bq5":"0", "sq5":"0", "bo1":"2", "so1":"0", "bo2":"0", "so2":"0", "bo3":"0", "so3":"0", "bo4":"0", "so4":"0", "bo5":"0", "So5":"0" }

Sample Failure Response : { "stat":"Not_Ok", "request_time":"10:50:54 10-12-2020", "emsg":"Error Occurred : 5 "no data"" }

get_time_price_series(exchange, token, starttime, endtime, interval):

gets the chart date for the symbol

Example:

lastBusDay = datetime.datetime.today()
lastBusDay = lastBusDay.replace(hour=0, minute=0, second=0, microsecond=0)
ret = mt.get_time_price_series(exchange='NSE', token='22', starttime=lastBusDay.timestamp(), interval=5)

Request Details :

Json Fields	Possible value	Description
uid*		Logged in User Id
exch*		Exchange
token*
st		Start time (seconds since 1 jan 1970)
et		End Time (seconds since 1 jan 1970)
intrv	“1”, ”3”, “5”, “10”, “15”, “30”, “60”, “120”, “240”	Candle size in minutes (optional field, if not given assume to be “1”)

Response Details :

Response data will be in json format in case for failure.

Json Fields	Possible value	Description
stat	Not_Ok	TPData failure indication.
emsg		This will be present only in case of errors.

Response data will be in json format in case for success.

Json Fields	Possible value	Description
stat	Ok	TPData success indication.
time		DD/MM/CCYY hh:mm:ss
into		Interval open
inth		Interval high
intl		Interval low
intc		Interval close
intvwap		Interval vwap
intv		Interval volume
v		volume
intoi		Interval io change
oi		oi

Sample Success Response : [ { "stat":"Ok", "time":"02-06-2020 15:46:23", "into":"0.00", "inth":"0.00", "intl":"0.00", "intc":"0.00", "intvwap":"0.00", "intv":"0", "intoi":"0", "v":"980515", "oi":"128702" }, { "stat":"Ok", "time":"02-06-2020 15:45:23", "into":"0.00", "inth":"0.00", "intl":"0.00", "intc":"0.00", "intvwap":"0.00", "intv":"0", "intoi":"0", "v":"980515", "oi":"128702" }, { "stat":"Ok", "time":"02-06-2020 15:44:23", "into":"0.00", "inth":"0.00", "intl":"0.00", "intc":"0.00", "intvwap":"0.00", "intv":"0", "intoi":"0", "v":"980515", "oi":"128702" }, { "stat":"Ok", "time":"02-06-2020 15:43:23", "into":"1287.00", "inth":"1287.00", "intl":"0.00", "intc":"1287.00", "intvwap":"128702.00", "intv":"4", "intoi":"128702", "v":"980515", "oi":"128702" }, { "stat":"Ok", "time":"02-06-2020 15:42:23", "into":"0.00", "inth":"0.00", "intl":"0.00", "intc":"0.00", "intvwap":"0.00", "intv":"0", "intoi":"0", "v":"980511", "oi":"128702" } ]

Sample Failure Response : { "stat":"Not_Ok", "emsg":"Session Expired : Invalid Session Key" }

get_daily_price_series(Symbol name, From date, To date):

gets the chart date for the symbol

Example:

ret =mt.get_daily_price_series(exchange="NSE",tradingsymbol="PAYTM-EQ",startdate="457401600",enddate="480556800")

Request Details :

Json Fields	Possible value	Description
sym*		Symbol name
from*		From date
to*		To date

Response Details :

Json Fields	Possible value	Description
stat	Ok	TPData success indication.
time		DD/MM/CCYY hh:mm:ss
into		Interval open
inth		Interval high
intl		Interval low
intc		Interval close
ssboe		Date,Seconds in 1970 format
intv		Interval volume

Sample Success Response : [ "{ "time":"21-SEP-2022", "into":"2496.75", "inth":"2533.00", "intl":"2495.00", "intc":"2509.75", "ssboe":"1663718400", "intv":"4249172.00" }", "{ "time":"15-SEP-2022", "into":"2583.00", "inth":"2603.55", "intl":"2556.75", "intc":"2562.70", "ssboe":"1663200000", "intv":"4783723.00" }", "{ "time":"28-JUN-2021", "into":"2122.00", "inth":"2126.50", "intl":"2081.00", "intc":"2086.00", "ssboe":"1624838400", "intv":"9357852.00" }" ]

get_option_chain(exchange, tradingsymbol, strikeprice, count):

gets the contracts of related strikes

Param	Type	Optional	Description
exchange	string	False	Exchange (UI need to check if exchange in NFO / CDS / MCX / or any other exchange which has options, if not don't allow)
tradingsymbol	string	False	Trading symbol of any of the option or future. Option chain for that underlying will be returned. (use url encoding to avoid special char error for symbols like M&M)
strikeprice	float	False	Mid price for option chain selection
count	int	True	Number of strike to return on one side of the mid price for PUT and CALL. (example cnt is 4, total 16 contracts will be returned, if cnt is is 5 total 20 contract will be returned)

the response is as follows,

Param	Type	Optional	Description
stat	string	True	ok or Not_ok
values	string	True	properties of the scrip
emsg	string	False	Error Message

Param	Type	Optional	Description
exch	string	False	Exchange
tsym	string	False	Trading Symbol of Contract
token	string	False	Contract token
optt	string	False	Option type
strprc	string	False	Strike Price
pp	string	False	Price Precision
ti	string	False	Tick Size
ls	string	False	Lot Size

start_websocket()

starts the websocket, WebSocket feed has 2 types of ticks( t=touchline d=depth)and 2 stages (k=acknowledgement, f=further change in tick).

Param	Type	Optional	Description
subscribe_callback	function	False	callback for market updates
order_update_callback	function	False	callback for order updates
socket_open_callback	function	False	callback when socket is open (reconnection also)
socket_close_callback	function	False	callback when socket is closed

subscribe_orders()

get order and trade update callbacks

Subscription Acknowledgement:

Json Fields	Possible value	Description
t	ok	‘ok’ represents order update subscription acknowledgement

Order Update subscription Updates :

Json Fields	Possible value	Description
t	om	‘om’ represents touchline feed
norenordno		Noren Order Number
uid		User Id
actid		Account ID
exch		Exchange
tsym		Trading symbol
qty		Order quantity
prc		Order Price
prd		Product
status		Order status (New, Replaced, Complete, Rejected etc)
reporttype		Order event for which this message is sent out. (Fill, Rejected, Canceled)
trantype		Order transaction type, buy or sell
prctyp		Order price type (LMT, MKT, SL-LMT, SL-MKT)
ret		Order retention type (DAY, EOS, IOC,...)
fillshares		Total Filled shares for this order
avgprc		Average fill price
fltm		Fill Time(present only when reporttype is Fill)
flid		Fill ID (present only when reporttype is Fill)
flqty		Fill Qty(present only when reporttype is Fill)
flprc		Fill Price(present only when reporttype is Fill)
rejreason		Order rejection reason, if rejected
exchordid		Exchange Order ID
cancelqty		Canceled quantity, in case of canceled order
remarks		User added tag, while placing order
dscqty		Disclosed quantity
trgprc		Trigger price for SL orders
snonum		This will be present for child orders in case of cover and bracket orders, if present needs to be sent during exit
snoordt		This will be present for child orders in case of cover and bracket orders, it will indicate whether the order is profit or stoploss
blprc		This will be present for cover and bracket parent order. This is the differential stop loss trigger price to be entered.
bpprc		This will be present for bracket parent order. This is the differential profit price to be entered.
trailprc		This will be present for cover and bracket parent order. This is required if trailing ticks is to be enabled.
exch_tm		This will have the exchange update time

subscribe([instruments])

send a list of instruments to watch

t='tk' is sent once on subscription for each instrument. this will have all the fields with the most recent value thereon t='tf' is sent for fields that have changed.

For example
quote event: 03-12-2021 11:54:44{'t': 'tk', 'e': 'NSE', 'tk': '11630', 'ts': 'NTPC-EQ', 'pp': '2', 'ls': '1', 'ti': '0.05', 'lp': '118.55', 'h': '118.65', 'l': '118.10', 'ap': '118.39', 'v': '162220', 'bp1': '118.45', 'sp1': '118.50', 'bq1': '26', 'sq1': '6325'}
quote event: 03-12-2021 11:54:45{'t': 'tf', 'e': 'NSE', 'tk': '11630', 'lp': '118.45', 'ap': '118.40', 'v': '166637', 'sp1': '118.55', 'bq1': '3135', 'sq1': '30'}
quote event: 03-12-2021 11:54:46{'t': 'tf', 'e': 'NSE', 'tk': '11630', 'lp': '118.60'}

in the example above we see first message t='tk' with all the values, 2nd message has lasttradeprice avg price and few other fields with value changed.. note bp1 isnt sent as its still 118.45 in the next tick ( 3rd message) only last price is changed to 118.6

This method can be used to subscribe indices as well such as Nifty-50 [NSE|26000], BankNifty[NSE|26009]

Param	Type	Optional	Description
instruments	list	False	list of instruments [NSE|22,CDS|1]

Subscription Acknowledgement:

Number of Acknowledgements for a single subscription will be the same as the number of scrips mentioned in the key (k) field.

Json Fields	Possible value	Description
t	tk	‘tk’ represents touchline acknowledgement
e	NSE, BSE, NFO ..	Exchange name
tk	22	Scrip Token
pp	2 for NSE, BSE & 4 for CDS USDINR	Price precision
ts		Trading Symbol
ti		Tick size
ls		Lot size
lp		LTP
pc		Percentage change
v		volume
o		Open price
h		High price
l		Low price
c		Close price
ap		Average trade price
oi		Open interest
poi		Previous day closing Open Interest
toi		Total open interest for underlying
bq1		Best Buy Quantity 1
bp1		Best Buy Price 1
sq1		Best Sell Quantity 1
sp1		Best Sell Price 1

TouchLine subscription Updates : Accept for t, e, and tk other fields may / may not be present.

Json Fields	Possible value	Description
t	tf	‘tf’ represents touchline acknowledgement
e	NSE, BSE, NFO ..	Exchange name
tk	22	Scrip Token
lp		LTP
pc		Percentage change
v		volume
o		Open price
h		High price
l		Low price
c		Close price
ap		Average trade price
oi		Open interest
poi		Previous day closing Open Interest
toi		Total open interest for underlying
bq1		Best Buy Quantity 1
bp1		Best Buy Price 1
sq1		Best Sell Quantity 1
sp1		Best Sell Price 1

unsubscribe()

send a list of instruments to stop watch

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Example - Getting Started

First configure the endpoints in the mt_helper constructor. Thereon provide your credentials and login as follows.

from myntapi import app

#start of our program
mt=app()

#credentials
user        = '< user id>'
u_pwd       = '< password >'
factor2     = 'second factor'
vc          = 'vendor code'
app_key     = 'secret key'
imei        = 'uniq identifier'


ret = mt.login(userid=user, password=pwd, twoFA=factor2, vendor_code=vc, api_secret=app_key, imei=imei)
print(ret)

Example Symbol/Contract : Example_market.py

This Example shows mt usage for finding scrips and its properties

Search Scrips

The call can be made to get the exchange provided token for a scrip or alternately can search for a partial string to get a list of matching scrips Trading Symbol:

SymbolName + ExpDate + 'F' for all data having InstrumentName starting with FUT

SymbolName + ExpDate + 'P' + StrikePrice for all data having InstrumentName starting with OPT and with OptionType PE

SymbolName + ExpDate + 'C' + StrikePrice for all data having InstrumentName starting with OPT and with OptionType C

For MCX, F to be ignored for FUT instruments

mt.searchscrip(exchange='NSE', searchtext='NES')

This will reply as following

{
    "stat": "Ok",
    "values": [
        {
            "exch": "NSE",
            "token": "17963",
            "tsym": "NESTLEIND-EQ",
            "cname": "NESTLE INDIA LIMITED",
            "instname": "EQ",
            "pp": "2",
            "ls": "1",
            "ti": "0.05"
        },
        {
            "exch": "NSE",
            "token": "15409",
            "tsym": "NESCO-EQ",
            "cname": "NESCO LTD.",
            "instname": "EQ",
            "pp": "2",
            "ls": "1",
            "ti": "0.05"
        },
        {
            "exch": "BSE",
            "token": "505355",
            "tsym": "NESCO",
            "cname": "NESCO LTD.",
            "instname": "A",
            "pp": "2",
            "ls": "1",
            "ti": "0.05"
        },
        {
            "exch": "BSE",
            "token": "500790",
            "tsym": "NESTLEIND",
            "cname": "NESTLE INDIA LTD.",
            "instname": "A",
            "pp": "2",
            "ls": "1",
            "ti": "0.05"
        },
        {
            "exch": "NFO",
            "token": "48280",
            "tsym": "NESTLEIND31AUG23F",
            "optt": "XX",
            "instname": "FUTSTK",
            "pp": "2",
            "ls": "40",
            "ti": "0.05"
        },
        {
            "exch": "NFO",
            "token": "52543",
            "tsym": "NESTLEIND26OCT23F",
            "optt": "XX",
            "instname": "FUTSTK",
            "pp": "2",
            "ls": "40",
            "ti": "0.05"
        },
        {
            "exch": "BFO",
            "token": "1102372",
            "tsym": "NESTLEIND23AUGFUT",
            "optt": "XX",
            "instname": "FUTSTK",
            "pp": "2",
            "ls": "40",
            "ti": "0.05"
        },
        {
            "exch": "NFO",
            "token": "55041",
            "tsym": "NESTLEIND31AUG23P12500",
            "optt": "PE",
            "instname": "OPTSTK",
            "pp": "2",
            "ls": "40",
            "ti": "0.05"
        },
        {
            "exch": "NFO",
            "token": "49200",
            "tsym": "NESTLEIND31AUG23P13000",
            "optt": "PE",
            "instname": "OPTSTK",
            "pp": "2",
            "ls": "40",
            "ti": "0.05"
        },
        {
            "exch": "NFO",
            "token": "49199",
            "tsym": "NESTLEIND31AUG23C13000",
            "optt": "CE",
            "instname": "OPTSTK",
            "pp": "2",
            "ls": "40",
            "ti": "0.05"
        }
    ]
}

Security Info

This call is done to get the properties of the scrip such as freeze qty and margins

mt.get_security_info(exchange='NSE', token='22')

The response for the same would be

{
   "request_time": "17:43:38 31-10-2020",
   "stat": "Ok",
   "exch": "NSE",
   "tsym": "ACC-EQ",
   "cname": "ACC LIMITED",
   "symname": "ACC",
   "seg": "EQT",
   "instname": "EQ",
   "isin": "INE012A01025",
   "pp": "2",
   "ls": "1",
   "ti": "0.05",
   "mult": "1",
   "prcftr_d": "(1 / 1 ) * (1 / 1)",
   "trdunt": "ACC.BO",
   "delunt": "ACC",
   "token": "22",
   "varmrg": "40.00"
}

Subscribe to a live feed

Subscribe to a single token as follows

mt.subscribe('NSE|13')

Subscribe to a list of tokens as follows

mt.subscribe(['NSE|22', 'BSE|522032'])

First we need to connect to the WebSocket and then subscribe as follows

feed_opened = False

def event_handler_feed_update(tick_data):
    print(f"feed update {tick_data}")

def open_callback():
    global feed_opened
    feed_opened = True


mt.start_websocket( order_update_callback=event_handler_order_update,
                     subscribe_callback=event_handler_feed_update, 
                     socket_open_callback=open_callback)

while(feed_opened==False):
    pass

# subscribe to a single token 
mt.subscribe('NSE|26000')

#subscribe to multiple tokens
mt.subscribe(['NSE|26000', 'BSE|522032'])

Example - Orders and Trades : example_orders.py

Place Order

Place a Limit order as follows

    mt.place_order(buy_or_sell='S', product_type='C',
                        exchange='NSE', tradingsymbol='INFY-EQ', 
                        quantity=1, discloseqty=0,price_type='LMT', price=1500, trigger_price=None,
                        retention='DAY', remarks='Algo traders')

Place a Market Order as follows

    mt.place_order(buy_or_sell='S', product_type='C',
                        exchange='NSE', tradingsymbol='INFY-EQ', 
                        quantity=1, discloseqty=0,price_type='MKT', price=0, trigger_price=None,
                        retention='DAY', remarks='Algo traders')

Place a StopLoss Order as follows

    mt.place_order(buy_or_sell='S', product_type='C',
                        exchange='NSE', tradingsymbol='INFY-EQ', 
                        quantity=1, discloseqty=0,price_type='SL-LMT', price=1500, trigger_price=1450,
                        retention='DAY', remarks='Algo traders')

Place a Cover Order as follows

    mt.place_order(buy_or_sell='S', product_type='H',
                        exchange='NSE', tradingsymbol='INFY-EQ', 
                        quantity=1, discloseqty=0,price_type='LMT', price=1500, trigger_price=None,
                        retention='DAY', remarks='Algo traders', bookloss_price = 1490)

Place a Bracket Order as follows

    mt.place_order(buy_or_sell='S', product_type='I',
                        exchange='NSE', tradingsymbol='TCS-EQ', 
                        quantity=1, discloseqty=0,price_type='LMT', price=2000, trigger_price=None,
                        retention='DAY', remarks='Algo traders', bookloss_price = None, bookprofit_price = None)

Modify Order

Modify a New Order by providing the OrderNumber

    mt.modify_order(exchange='NSE', tradingsymbol='TCS-EQ', orderno=orderno,
                                   newquantity=2, newprice_type='LMT', newprice=2005)

Cancel Order

Cancel a New Order by providing the Order Number

    mt.cancel_order(orderno=orderno)

Subscribe to Order Updates

Connecting to the Websocket will automatically subscribe and provide the order updates in the call back as follows Note: Feed and Order updates are received from the same websocket and needs to be connected once only.

feed_opened = False

def event_handler_order_update(order):
    print(f"order feed {order}")

def open_callback():
    global feed_opened
    feed_opened = True


mt.start_websocket( order_update_callback=event_handler_order_update,
                     subscribe_callback=event_handler_feed_update, 
                     socket_open_callback=open_callback)

while(feed_opened==False):
    pass

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