XTS-LAI 1.0.5

LET'S ALGOIT Python SDK for XTS Interactive and Market Data APIs

XTS-LAI

A simple Python SDK by LET'S ALGOIT for working with XTS Interactive and Market Data APIs.

The package provides easy methods for:

• XTS login
• Historical candle data
• LTP and OHLC data
• Bid and ask prices
• ATM, ITM and OTM strike calculation
• Option Greeks and indicators
• Account information
• Order placement and management
• Expiry information
• Instrument validation
• Telegram alerts

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Version

Current version:

1.0.5

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Installation

Install the latest version:

pip install XTS-LAI

TA-Lib is optional. The SDK includes built-in pandas/numpy implementations for RSI and ATR, so Windows users do not need Microsoft C++ Build Tools. To use native TA-Lib separately:

pip install "XTS-LAI[talib]"

Install version 1.0.5:

pip install XTS-LAI==1.0.5

Upgrade the package:

pip install --upgrade XTS-LAI

---

Import and Login

from XTS_LAI import LetsAlgoIt

xts_lai = login(
    interactive_api_key="YOUR_INTERACTIVE_API_KEY",
    interactive_api_secret="YOUR_INTERACTIVE_API_SECRET",
    market_api_key="YOUR_MARKET_API_KEY",
    market_api_secret="YOUR_MARKET_API_SECRET",
    clientID="YOUR_CLIENT_ID"
)

After successful login, all SDK functions are available through:

xts_lai

---

Market Data Functions

1. Historical Data

Fetch historical candle data for a trading symbol.

Function

get_historical_data(name, timeframe, interval)

Supported Timeframes

minute
2minute
3minute
4minute
5minute
10minute
15minute
30minute
60minute
day

Example

acc_df = xts_lai.get_historical_data(
    "ACC-EQ",
    "5minute",
    xts_lai.intervals_dict["5minute"]
)

print(acc_df)

---

2. Get LTP

Fetch the last traded price of a symbol.

Function

get_ltp(name)

Example

acc_ltp = xts_lai.get_ltp("ACC-EQ")
print(f"ACC LTP: {acc_ltp}")

---

3. Get OHLC Data

Fetch open, high, low and close values.

Function

get_ohlc_data(names)

Multiple Symbols

ohlc = xts_lai.get_ohlc_data(["ACC-EQ", "DMART-EQ"])
print(ohlc)

Single Symbol

open_price, high, low, close = xts_lai.get_ohlc_data("ACC-EQ")

print(f"OPEN: {open_price}")
print(f"HIGH: {high}")
print(f"LOW: {low}")
print(f"CLOSE: {close}")

---

4. Get Stock Data

Fetch LTP, open, high, low and close for multiple symbols.

Function

get_stock_data(names)

Example

stock_data = xts_lai.get_stock_data(["ACC-EQ", "DMART-EQ"])
print(stock_data)

---

5. Get Ask Price

Fetch the ask price of one or multiple symbols.

Function

get_askprice(names)

Example

askprice = xts_lai.get_askprice(["ACC-EQ"])
acc_askprice = askprice["ACC-EQ"]
print(f"ACC ASK PRICE: {acc_askprice}")

---

6. Get Bid Price

Fetch the bid price of one or multiple symbols.

Function

get_bidprice(names)

Example

bidprice = xts_lai.get_bidprice(["ACC-EQ"])
acc_bidprice = bidprice["ACC-EQ"]
print(f"ACC BID PRICE: {acc_bidprice}")

---

7. Get Quote

Fetch complete quote information.

Function

get_quote(names)

Example

quote = xts_lai.get_quote(["ACC-EQ"])
print(quote)

---

8. Get Open Interest

Fetch open interest values.

Function

open_interest_values(names)

Example

open_interest = xts_lai.open_interest_values(["BANKNIFTY"])
print(open_interest)

---

Option Functions

9. Get ATM, ITM or OTM Strike

Calculate the strike price using LTP, option type and multiplier.

Function

get_atm_itm_otm_strike(ltp, underlying, multiplier, script_type, expiry)

Multiplier Meaning

0   = ATM
1   = First OTM
2   = Second OTM
-1  = First ITM
-2  = Second ITM

Example

acc_ltp = xts_lai.get_ltp("ACC-EQ")

itm_strike = xts_lai.get_atm_itm_otm_strike(
    acc_ltp,
    "ACC-EQ",
    -1,
    "CE",
    0
)

print(f"ITM STRIKE: {itm_strike}")

---

10. Get ATM, ITM or OTM Option Script

Return the complete option trading symbol.

Function

get_atm_itm_otm_script(ltp, underlying, multiplier, script_type, expiry)

Example

option_script = xts_lai.get_atm_itm_otm_script(
    acc_ltp,
    "ACC-EQ",
    0,
    "CE",
    0
)

print(f"OPTION SCRIPT: {option_script}")

---

11. Get Option Greeks

Calculate option price and Greek values.

Function

get_option_greek(strike, expiry_date, asset, interest_rate, flag, scrip_type)

Available Flags

price
delta
delta2
theta
rho
vega
gamma
all_val

Example

delta = xts_lai.get_option_greek(
    22100,
    "2026-07-30T15:30:00",
    "NIFTY",
    2,
    "delta",
    "CE"
)

print(f"NIFTY DELTA: {delta}")

---

12. Get Expiry Dates

Return all available expiry dates for an underlying.

Function

get_expiry(name)

Example

expiry_dates = xts_lai.get_expiry("BANKNIFTY")
print(expiry_dates)

---

13. ATM Strike Selection

Return ATM call and put option scripts.

Function

ATM_Strike_Selection(Underlying, Expiry)

Example

expiry_dates = xts_lai.get_expiry("NIFTY")

ce_script, pe_script, strike = xts_lai.ATM_Strike_Selection(
    "NIFTY",
    expiry_dates[0]
)

print(f"CE SCRIPT: {ce_script}")
print(f"PE SCRIPT: {pe_script}")
print(f"ATM STRIKE: {strike}")

---

Instrument Functions

14. Check Valid Instrument

result = xts_lai.check_valid_instrument("BANKNIFTY")
print(result)

15. Get Lot Size

lot_size = xts_lai.get_lot_size("NIFTY26JUL25000CE")
print(f"LOT SIZE: {lot_size}")

16. Get Freeze Quantity

freeze_quantity = xts_lai.get_freeze_quantity("NIFTY26JUL25000CE")
print(f"FREEZE QUANTITY: {freeze_quantity}")

17. Get Split Order Variables

quantity, freeze_quantity, split_count, remaining_quantity = (
    xts_lai.get_split_order_variables("NIFTY26JUL25000CE", 10)
)

print(f"TOTAL QUANTITY: {quantity}")
print(f"FREEZE QUANTITY: {freeze_quantity}")
print(f"SPLIT COUNT: {split_count}")
print(f"REMAINING QUANTITY: {remaining_quantity}")

---

Account Functions

18. Get Balance

balance = xts_lai.get_balance()
print(f"AVAILABLE BALANCE: {balance}")

19. Get Live PnL

live_pnl = xts_lai.get_pnl(complete_order={}, script_details={})
print(f"LIVE PNL: {live_pnl}")

---

Order Functions

Warning: The following functions may place, modify or cancel live orders. Verify all parameters before running them.

20. Place Order

Market Order

order_id = xts_lai.order_placement(
    "ACC-EQ",
    1,
    0,
    0,
    "MARKET",
    "BUY",
    "MIS"
)

print(f"ORDER ID: {order_id}")

Limit Order

order_id = xts_lai.order_placement(
    "ACC-EQ", 1, 2700, 0, "LIMIT", "BUY", "MIS"
)

Stop-Limit Order

order_id = xts_lai.order_placement(
    "ACC-EQ", 1, 2704, 2700, "STOPLIMIT", "BUY", "MIS"
)

Stop-Market Order

order_id = xts_lai.order_placement(
    "ACC-EQ", 1, 0, 2700, "STOPMARKET", "BUY", "MIS"
)

21. Get Order History

status = xts_lai.get_orderhistory(order_id)
print(f"ORDER STATUS: {status}")

22. Get Executed Price

executed_price = xts_lai.get_executed_price(order_id)
print(f"EXECUTED PRICE: {executed_price}")

23. Order Report

order_status, order_price = xts_lai.order_report()
print(order_status)
print(order_price)

24. Modify Order

modified_order_id = xts_lai.modify_order(
    order_id,
    "LIMIT",
    1,
    2705,
    0,
    "MIS"
)

print(f"MODIFIED ORDER ID: {modified_order_id}")

25. Cancel Order

xts_lai.cancel_order(order_id)

26. Cancel All Orders

order_details = xts_lai.cancel_all_orders()
print(order_details)

---

Indicator Functions

27. Calculate PCR

pcr_data = xts_lai.calculate_pcr(call_data, put_data)
print(pcr_data)

28. Calculate VWAP

historical_data = xts_lai.get_historical_data("ACC-EQ", "5minute", 5)
vwap_data = xts_lai.calculate_vwap(historical_data)
print(vwap_data)

29. Calculate ATR

atr_data = xts_lai.atr(historical_data, 14)
print(atr_data)

30. Add SuperTrend

supertrend_data = xts_lai.add_super_trend(
    historical_data,
    10,
    3,
    "SuperTrend"
)

print(supertrend_data)

31. Calculate RSI

rsi = xts_lai.calculate_rsi(historical_data["close"], 14)
print(rsi)

32. Calculate Moving Average

moving_average = xts_lai.calculate_ma(
    historical_data["close"],
    20,
    "EMA"
)

print(moving_average)

33. Calculate Linear Regression

linear_regression = xts_lai.calculate_linreg(
    historical_data["close"],
    36
)

print(linear_regression)

34. Calculate Indicators

indicator_data = xts_lai.calculate_indicators(
    historical_data,
    rsi_length=14,
    ma_length=14,
    ma_type="SMA",
    linreg_length=36
)

print(indicator_data)

35. Detect RSI Tops and Bottoms

result = xts_lai.detect_rsi_tops_bottoms(
    indicator_data,
    rsi_col="RSI",
    upper_band=70,
    lower_band=30,
    prd=10,
    min_bars=5,
    max_dis=100
)

print(result)

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Additional Functions

36. Get Spot Value

spot_value = xts_lai.get_spot_value("CRUDEOIL", "FUTCOM")
print(spot_value)

37. Check Expiry Date

expiry_dates = xts_lai.get_expiry("NIFTY")
is_available = xts_lai.check_expiry_date("NIFTY", expiry_dates[0])
print(is_available)

38. Get Bid and Ask

ask, bid = xts_lai.get_bid_ask("ACC-EQ")
print(f"ASK: {ask}")
print(f"BID: {bid}")

39. Get Combined Data

combined_data = xts_lai.get_combined_data(
    instrument_id=12345,
    start="Jul 01 2026 091500",
    end="Jul 16 2026 153000"
)

print(combined_data)

40. Get Raw Script Data

raw_data = xts_lai.get_data_for_single_script(["ACC-EQ"])
print(raw_data)

41. Send Telegram Alert

xts_lai.send_telegram_alert(
    message="XTS-LAI alert",
    receiver_chat_id="YOUR_CHAT_ID",
    bot_token="YOUR_BOT_TOKEN"
)

---

Complete Basic Usage

from XTS_LAI import LetsAlgoIt

xts_lai = login(
    interactive_api_key="YOUR_INTERACTIVE_API_KEY",
    interactive_api_secret="YOUR_INTERACTIVE_API_SECRET",
    market_api_key="YOUR_MARKET_API_KEY",
    market_api_secret="YOUR_MARKET_API_SECRET",
    clientID="YOUR_CLIENT_ID"
)

acc_df = xts_lai.get_historical_data(
    "ACC-EQ",
    "5minute",
    xts_lai.intervals_dict["5minute"]
)
print(acc_df)

acc_ltp = xts_lai.get_ltp("ACC-EQ")
print(f"ACC LTP: {acc_ltp}")

ohlc = xts_lai.get_ohlc_data(["ACC-EQ"])
print(ohlc)

askprice = xts_lai.get_askprice(["ACC-EQ"])
print(askprice)

bidprice = xts_lai.get_bidprice(["ACC-EQ"])
print(bidprice)

expiry_dates = xts_lai.get_expiry("BANKNIFTY")
print(expiry_dates)

is_valid = xts_lai.check_valid_instrument("BANKNIFTY")
print(is_valid)

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Important Notes

• Valid XTS API credentials are required.
• Your public IP may need to be added to the XTS trusted-IP list.
• Interactive API credentials are required for order functions.
• Market Data credentials are required for LTP, OHLC and historical-data functions.
• Check all order parameters before sending live orders.
• Never place API credentials directly inside publicly shared source code.

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About LET'S ALGOIT

XTS-LAI is maintained by LET'S ALGOIT to provide a simple Python interface for XTS trading and market-data operations.