Input:
Output:
Add - CE/PE In Watchlist ✅50400 ✅50500 ✅50600 ✅50700 Expiry - Nov monthly expiryOutput:
json
{
"action": "null",
"instrument": "null",
"entry_price": "null",
"stop_loss": null,
"target": null,
"quantity": null
}
Input:
Output:
Trade plan as per BNFFUT. ✅ BNF has crossed an important hurdle. We'll plan the entry at it's retest.Output:
json
{
"action": "null",
"instrument": "BNFFUT",
"entry_price": "null",
"stop_loss": null,
"target": null,
"quantity": null
}
Input:
Output:
👉INTRA INDEX OPTIONS ✅BUY 50800 CE above 478 ❌SL 456 💰TGT Qty 50%Output:
json
{
"action": "buy",
"instrument": "BankNifty 50800 CE",
"entry_price": "479",
"stop_loss": 456,
"target": null,
"quantity": "50%"
}
Input:
Output:
TGT 518/562+Output:
json
{
"action": "buy",
"instrument": "BankNifty 50800 CE",
"entry_price": "479",
"stop_loss": 456,
"target": [
518,
562
],
"quantity": "50%"
}
Input:
Output:
Entered ✅Output:
json
{
"action": "buy",
"instrument": "BankNifty 50800 CE",
"entry_price": "479",
"stop_loss": 456,
"target": [
518,
562
],
"quantity": "50%"
}
Input:
Output:
485🚀Output:
json
{
"action": "buy",
"instrument": "BankNifty 50800 CE",
"entry_price": "479",
"stop_loss": 456,
"target": [
518,
562
],
"quantity": "50%"
}
Input:
Output:
ExitedOutput:
json
{
"action": "null",
"instrument": "BankNifty 50800 CE",
"entry_price": "479",
"stop_loss": 456,
"target": [
518,
562
],
"quantity": "50%"
}
Input:
Output:
Buy again at 461-462 SL 447 Qty 50%Output:
json
{
"action": "buy",
"instrument": "BankNifty 50800 CE",
"entry_price": "461-462",
"stop_loss": 447,
"target": null,
"quantity": "50%"
}
Input:
Output:
Ignore this trade nowOutput:
json
{
"action": "null",
"instrument": "BankNifty 50800 CE",
"entry_price": "461-462",
"stop_loss": 447,
"target": null,
"quantity": "50%"
}
Input:
Output:
👉INTRA INDEX OPTIONS ✅BUY 50800 CE @ 476 ❌SL 462 💰TGT Qty 75%Output:
json
{
"action": "buy",
"instrument": "BankNifty 50800 CE",
"entry_price": "476",
"stop_loss": 462,
"target": null,
"quantity": "75%"
}
Input:
Output:
Target sameOutput:
json
{
"action": "buy",
"instrument": "BankNifty 50800 CE",
"entry_price": "476",
"stop_loss": 462,
"target": [
518,
562
],
"quantity": "75%"
}
Input:
Output:
Entered ✅Output:
json
{
"action": "buy",
"instrument": "BankNifty 50800 CE",
"entry_price": "476",
"stop_loss": 462,
"target": [
518,
562
],
"quantity": "75%"
}
Input:
Output:
Exited at 462 But we'll reenter in sameOutput:
json
{
"action": "null",
"instrument": "BankNifty 50800 CE",
"entry_price": "476",
"stop_loss": 462,
"target": [
518,
562
],
"quantity": "75%"
}
Input:
Output:
Same trade againOutput:
json
{
"action": "buy",
"instrument": "BankNifty 50800 CE",
"entry_price": "476",
"stop_loss": 462,
"target": [
518,
562
],
"quantity": "75%"
}
Input:
Output:
"Both the times, it triggered our SL with minor pts (SL hunt). Price action and data are looking pretty cool for bounce back."Output:
json
{
"action": "null",
"instrument": "null",
"entry_price": "null",
"stop_loss": null,
"target": null,
"quantity": null
}
Input:
Output:
Entered ✅Output:
json
{
"action": "buy",
"instrument": "BankNifty 50800 CE",
"entry_price": "476",
"stop_loss": 462,
"target": [
518,
562
],
"quantity": "75%"
}
Input:
Output:
Revised SL 459Output:
json
{
"action": "buy",
"instrument": "BankNifty 50800 CE",
"entry_price": "476",
"stop_loss": 459,
"target": [
518,
562
],
"quantity": "75%"
}
Input:
Output:
I'll add more qty above 482Output:
json
{
"action": "buy",
"instrument": "BankNifty 50800 CE",
"entry_price": "476",
"stop_loss": 459,
"target": [
518,
562
],
"quantity": "75%"
}
Input:
Output:
Added ✅Output:
json
{
"action": "buy",
"instrument": "BankNifty 50800 CE",
"entry_price": "476",
"stop_loss": 459,
"target": [
518,
562
],
"quantity": "75%"
}
Input:
Output:
Avg is now at 477.5Output:
json
{
"action": "buy",
"instrument": "BankNifty 50800 CE",
"entry_price": "477.5",
"stop_loss": 459,
"target": [
518,
562
],
"quantity": "75%"
}
Input:
Output:
492🚀🚀Output:
json
{
"action": "buy",
"instrument": "BankNifty 50800 CE",
"entry_price": "477.5",
"stop_loss": 459,
"target": [
518,
562
],
"quantity": "75%"
}