Hi @Mnagesh,

I am developing trade logic on multiple chart. My trade logic require to get OHCL data of 5 min live candle.
getCandleData() method gives this data but it usually gives 20-30 second old data.

Can we get same method with live feed or if we improve getCandleData() method to get live data.

Any input will be really appreciated.

PS: i know alternative solution to capture live feed data and calculate OHCL value.

Thanks in advance!

please ignore

Hi Everyone, @admin ,

I am implementing one trading technique which require price interval value(Y-Axis) of any stock / option chart. I have opted "auto" scaling option in chart.

In attached screenshot, price interval in Y-axis is 20.

Please help, how can we get this value.

Thanks in advance for any suggestion or input.

Hi @admin

getCandleData() method is returning wrong data. Ideally, Trading API should not return different data than there actual website.

If we check API output data of BANKNIFTY chart (35014 BANKNIFTY31AUG23FUT BANKNIFTY) on 28-Aug,23 at 13:05, getCandleData() method is returning 44522.00 value though actual value on Angelone website is 44516.85

Because of wrong data return from getCandleData() API, my algo has taken wrong trade and lost money.

Here is proof to justify it.

Sample code -

Output:

Algo Trading chart data:

@admin , Can you please help on this.

Hi @admin, Everyone,

I have very interesting situation which thinking how to solve.

I want to create GTT on expiry date of option chart.

As per smart api doc , producttype has to CARRYFORWARD.

So my question is - what value needs to define for timeperiod. I had tried 0(zero) but it is throwing error while GTT creation.

    gttCreateParams = {
        "tradingsymbol": 'BANKNIFTY31AUG2344400PE',
        "symboltoken": 60484,
        "exchange": 'NFO',
        "producttype": "CARRYFORWARD",
        "transactiontype": 'BUY',
        "price": 101,
        "qty": 15,
        "triggerprice": 100
        "timeperiod": 1
    }
    rule_id = obj.gttCreateRule(gttCreateParams)

Any suggestion would be really appreciated.

Thanks in advance!

Hi @admin , everyone,

I just want to share my experience and looking for your input.

Today, i have executed placeorder api at 9:15:00.000350 AM (my local system time).
But trade got rejected, when i checked order history, i found trade execution time in order history was mentioned at 9:14:59 AM.

I have before query -

1. Does any one faced same experience.
2. Is there any api method to get exchange time so that i can fill time gap / between exchange and my local time ?

@laxm ,

Yes, i was wondering why it happened. Not sure if there were some maintenance window was there.
It had worked at 9:00 AM.

Hi @admin ,
We are getting "null" return value for OpenAPIScripMaster.json file. Can you please look it as soon as possible.

https://margincalculator.angelbroking.com/OpenAPI_File/files/OpenAPIScripMaster.json

Thanks in advance

Hi @Mnagesh,

I am developing trade logic on multiple chart. My trade logic require to get OHCL data of 5 min live candle.
getCandleData() method gives this data but it usually gives 20-30 second old data.

Can we get same method with live feed or if we improve getCandleData() method to get live data.

Any input will be really appreciated.

PS: i know alternative solution to capture live feed data and calculate OHCL value.

Thanks in advance!

Hi @admin123 @admin @administrators ,

History API is stop returning data for MCX future stock's data.
Can you please resolve this issue or suggest if any changes has made recently to make it work.

Thanks in advance!

Sample code -

def fetchDataOneline(in_exchange,in_symboltoken):
obj = SmartConnect(api_key=apikey)
data = obj.generateSession(username, pud, pyotp.TOTP(token).now())
refrashToken = data['data']['refreshToken']
res = obj.getProfile(refrashToken)
print(res['data']['exchanges'])
try:
historicParam = {
"exchange": in_exchange,
"symboltoken": in_symboltoken,
"interval": "FIVE_MINUTE",
"fromdate": "2023-06-10 15:55",
"todate":"2023-06-22 15:55"
}
historic_data = obj.getCandleData(historicParam)

    # Extract the candle data from the 'data' key
    candle_data = historic_data['data']

    # Create a DataFrame from the candle data
    df = pd.DataFrame(candle_data, columns=['timestamp', 'open', 'high', 'low', 'close', 'volume'])
    print(df)

except Exception as e:
    print("Historic Api failed: {}".format(e.message))
# logout
try:
    time.sleep(1)
    logout = obj.terminateSession('N51542847')
    print("Logout Successfully")
except Exception as e:
    print("Logout failed: {}".format(e.message))

return df

in_exchange= "MCX"
in_symboltoken = "244731"

Output: