Option Strategies
Short Call Calendar Spread
Introduction
Call calendar spread, also known as call horizontal spread, is a combination of a longer-term (far-leg/front-month) call and a shorter-term (near-leg/back-month) call, where all calls have the same underlying stock and the same strike price. The short call calendar spread consists of selling a longer-term call and buying a shorter-term call. The strategy profits from from an increase in the underlying price.
Implementation
Follow these steps to implement the short call calendar spread strategy:
- In the
Initializeinitializemethod, set the start date, end date, cash, and Option universe. - In the
OnDataon_datamethod, select the strike price and expiration dates of the contracts in the strategy legs. - In the
OnDataon_datamethod, select the contracts and place the orders.
private Symbol _symbol;
public override void Initialize()
{
SetStartDate(2024, 9, 1);
SetEndDate(2024, 12, 31);
SetCash(500000);
UniverseSettings.Asynchronous = true;
var option = AddOption("GOOG", Resolution.Minute);
_symbol = option.Symbol;
option.SetFilter(universe => universe.IncludeWeeklys().CallCalendarSpread(0, 30, 60));
} def initialize(self) -> None:
self.set_start_date(2024, 9, 1)
self.set_end_date(2024, 12, 31)
self.set_cash(500000)
self.universe_settings.asynchronous = True
option = self.add_option("GOOG", Resolution.MINUTE)
self._symbol = option.symbol
option.set_filter(lambda universe: universe.include_weeklys().call_calendar_spread(0, 30, 60))
The CallCalendarSpreadcall_calendar_spread filter narrows the universe down to just the two contracts you need to form a short call calendar spread.
public override void OnData(Slice slice)
{
if (Portfolio.Invested ||
!slice.OptionChains.TryGetValue(_symbol, out var chain))
{
return;
}
// Get the ATM strike
var atmStrike = chain.OrderBy(x => Math.Abs(x.Strike - chain.Underlying.Price)).First().Strike;
// Select the ATM call Option contracts
var calls = chain.Where(x => x.Strike == atmStrike && x.Right == OptionRight.Call);
if (calls.Count() == 0) return;
// Select the near and far expiry contracts
var expiries = calls.Select(x => x.Expiry).ToList();
var nearExpiry = expiries.Min();
var farExpiry = expiries.Max(); def on_data(self, slice: Slice) -> None:
if self.portfolio.invested:
return
# Get the OptionChain
chain = slice.option_chains.get(self._symbol, None)
if not chain:
return
# Get the ATM strike
atm_strike = sorted(chain, key=lambda x: abs(x.strike - chain.underlying.price))[0].strike
# Select the ATM call Option contracts
calls = [i for i in chain if i.strike == atm_strike and i.right == OptionRight.CALL]
if len(calls) == 0:
return
# Select the near and far expiry dates
expiries = sorted([x.expiry for x in calls])
near_expiry = expiries[0]
far_expiry = expiries[-1]
Approach A: Call the OptionStrategies.ShortCallCalendarSpreadOptionStrategies.short_call_calendar_spread method with the details of each leg and then pass the result to the Buybuy method.
var optionStrategy = OptionStrategies.ShortCallCalendarSpread(_symbol, atmStrike, nearExpiry, farExpiry); Buy(optionStrategy, 1);
option_strategy = OptionStrategies.short_call_calendar_spread(self._symbol, atm_strike, near_expiry, far_expiry) self.buy(option_strategy, 1)
Approach B: Create a list of Leg objects and then call the Combo Market Ordercombo_market_order, Combo Limit Ordercombo_limit_order, or Combo Leg Limit Ordercombo_leg_limit_order method.
var nearExpiryCall = calls.Single(x => x.Expiry == nearExpiry);
var farExpiryCall = calls.Single(x => x.Expiry == farExpiry);
var legs = new List<Leg>()
{
Leg.Create(nearExpiryCall.Symbol, 1),
Leg.Create(farExpiryCall.Symbol, -1)
};
ComboMarketOrder(legs, 1); near_expiry_call = [x for x in calls if x.expiry == near_expiry][0]
far_expiry_call = [x for x in calls if x.expiry == far_expiry][0]
legs = [
Leg.create(near_expiry_call.symbol, 1),
Leg.create(far_expiry_call.symbol, -1)
]
self.combo_market_order(legs, 1)
Strategy Payoff
The short call calendar spread is a limited-reward-limited-risk strategy. The payoff at the shorter-term expiration is
$$ \begin{array}{rcll} C^{\textrm{short-term}}_T & = & (S_T - K)^{+}\\ P_T & = & (C^{\textrm{short-term}}_T - C^{\textrm{long-term}}_T + C^{\textrm{long-term}}_0 - C^{\textrm{short-term}}_0)\times m - fee \end{array} $$ $$ \begin{array}{rcll} \textrm{where} & C^{\textrm{short-term}}_T & = & \textrm{Shorter term call value at time T}\\ & C^{\textrm{long-term}}_T & = & \textrm{Longer term call value at time T}\\ & S_T & = & \textrm{Underlying asset price at time T}\\ & K & = & \textrm{Strike price}\\ & P_T & = & \textrm{Payout total at time T}\\ & C^{\textrm{short-term}}_0 & = & \textrm{Shorter term call value at position opening (debit paid)}\\ & C^{\textrm{long-term}}_0 & = & \textrm{Longer term call value at position opening (credit received)}\\ & m & = & \textrm{Contract multiplier}\\ & T & = & \textrm{Time of shorter term call expiration} \end{array} $$The following chart shows the payoff at expiration:
The maximum profit is the net credit received, $C^{\textrm{long-term}}_0 - C^{\textrm{short-term}}_0$. It occurs when the underlying price moves very deep ITM or OTM so the values of both calls are close to zero.
The maximum loss is undetermined because it depends on the underlying volatility. It occurs when $S_T = S_0$ and the spread of the 2 calls are at their maximum.
If the Option is American Option, there is a risk of early assignment on the contract you sell. If you don't close the call positions together, the naked short call will have unlimited drawdown risk after the long call expires.
Example
The following table shows the price details of the assets in the short call calendar spread:
| Asset | Price ($) | Strike ($) |
|---|---|---|
| Longer-term call at the start of the trade | 4.40 | 835.00 |
| Shorter-term call at the start of the trade | 36.80 | 767.50 |
| Longer-term call at time $T$ | 31.35 | 835.00 |
| Underlying Equity at time $T$ | 829.08 | - |
Therefore, the payoff at time $T$ (the expiration of the short-term call) is
$$ \begin{array}{rcll} C^{\textrm{short-term}}_T & = & (S_T - K)^{+}\\ & = & (828.07-800.00)^{+}\\ & = & 28.07\\ P_T & = & (-C^{\textrm{long-term}}_T + C^{\textrm{short-term}}_T - C^{\textrm{short-term}}_0 + C^{\textrm{long-term}}_0)\times m - fee\\ & = & (-31.35+28.07-11.30+20.00)\times100-1.00\times2\\ & = & 540 \end{array} $$So, the strategy gains $540.
The following algorithm implements a short call calendar spread Option strategy:
public class BearPutSpreadStrategy : QCAlgorithm
{
private Symbol _symbol;
public override void Initialize()
{
SetStartDate(2024, 9, 1);
SetEndDate(2024, 12, 31);
SetCash(500000);
var option = AddOption("GOOG", Resolution.Minute);
_symbol = option.Symbol;
option.SetFilter(universe => universe.IncludeWeeklys().CallCalendarSpread(0, 30, 60));
}
public override void OnData(Slice slice)
{
if (Portfolio.Invested) return;
// Get the OptionChain of the symbol
var chain = slice.OptionChains.get(_symbol, null);
if (chain == null || chain.Count() == 0) return;
// get at-the-money strike
var atmStrike = chain.OrderBy(x => Math.Abs(x.Strike - chain.Underlying.Price)).First().Strike;
// filter the call options from the contracts which is ATM in the option chain.
var calls = chain.Where(x => x.Strike == atmStrike && x.Right == OptionRight.Call);
if (calls.Count() == 0) return;
// sorted the optionchain by expiration date
var expiries = calls.Select(x => x.Expiry).OrderBy(x => x);
// select the farest expiry as far-leg expiry, and the nearest expiry as near-leg expiry
var nearExpiry = expiries.First();
var farExpiry = expiries.Last();
var optionStrategy = OptionStrategies.ShortCallCalendarSpread(_symbol, atmStrike, nearExpiry, farExpiry);
// We open a position with 1 unit of the option strategy
Buy(optionStrategy, 1);
}
} class LongCallCalendarSpreadStrategy(QCAlgorithm):
def initialize(self) -> None:
self.set_start_date(2024, 9, 1)
self.set_end_date(2024, 12, 31)
self.set_cash(500000)
option = self.add_option("GOOG", Resolution.MINUTE)
self.symbol = option.symbol
option.set_filter(self.universe_func)
def universe_func(self, universe: OptionFilterUniverse) -> OptionFilterUniverse:
return universe.include_weeklys().call_calendar_spread(0, 30, 60)
def on_data(self, data: Slice) -> None:
# avoid extra orders
if self.portfolio.invested: return
# Get the OptionChain of the self.symbol
chain = data.option_chains.get(self.symbol, None)
if not chain: return
# get at-the-money strike
atm_strike = sorted(chain, key=lambda x: abs(x.strike - chain.underlying.price))[0].strike
# filter the call options from the contracts which is ATM in the option chain.
calls = [i for i in chain if i.strike == atm_strike and i.right == OptionRight.CALL]
if len(calls) == 0: return
# sorted the optionchain by expiration date
expiries = sorted([x.expiry for x in calls], key = lambda x: x)
# select the farest expiry as far-leg expiry, and the nearest expiry as near-leg expiry
near_expiry = expiries[0]
far_expiry = expiries[-1]
option_strategy = OptionStrategies.short_call_calendar_spread(self.symbol, atm_strike, near_expiry, far_expiry)
# We open a position with 1 unit of the option strategy
self.buy(option_strategy, 1)
Other Examples
For more examples, see the following algorithms: