Market Data & Web Scraping Intermediate

Execute Multi-Leg Hedge Basket Orders (Buy Hedge First) with Margin Check in Python

Avoid peak margin rejection errors when deploying Iron Condors or Short Straddles in Python by executing long OTM hedge legs before short ATM legs.

#pandas

Problem Statement

If an algo bot places the Short Option leg before the Long OTM Hedge leg, the broker requires ~₹1.40 Lakh naked short margin instead of the ~₹45,000 hedged span margin, causing order rejection. Sorting legs to execute BUY legs first guarantees instant margin benefit.

Formula / Core Logic

Sorts basket order list by side ('BUY' before 'SELL' on entry; 'SELL' before 'BUY' on exit so hedges are removed last).

Installation

pip install pandas
finvasia-shoonya-api-multi-leg-basket-order-python.py
def sequence_hedged_basket_orders(legs, is_entry=True):
    # legs: [{'symbol': 'NIFTY24500CE', 'side': 'SELL', 'qty': 75}, {'symbol': 'NIFTY24800CE', 'side': 'BUY', 'qty': 75}]
    if is_entry:
        # Entry: Execute BUY (protective hedges) first to unlock SPAN margin reduction
        ordered = sorted(legs, key=lambda x: 0 if x['side'].upper() == 'BUY' else 1)
    else:
        # Exit: Square off short positions (BUY to cover) before selling long hedges
        ordered = sorted(legs, key=lambda x: 0 if x['side'].upper() == 'BUY' else 1)
    return ordered

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Frequently Asked Questions

Q: What happens if you square off the Long OTM hedge before the Short ATM leg on exit?

For the 1 second that your short leg remains unhedged, your broker will trigger a Peak Margin shortfall penalty or reject the exit.