Finding tradable edges in 0 DTEs
What happens 0vernight, stays 0vernight.
0 DTE.
They have taken the world by storm and transformed the market’s landscape forever.
Some say they've broken the VIX. That's up for debate.
Others claim they'll cause the next black swan event, wiping out 30% of the markets in a single day. But you could say the same about pretty much any financial innovation.
And then there are those who believe that with the right framework, discipline, and maybe a little luck, trading 0 DTEs can make you rich overnight.
We've heard that before but have yet to see it become a reality for retail traders.
Until now, there was nothing new under the sun. Finance introduced a new product that many don't fully grasp. Everyone understands that a 0 DTE, or a daily contract, expires any day of the week, unlike weeklies, which expire once a week on Fridays.
However, few understand their utility and may dismiss them prematurely while they're still in their infancy.
Cue the raised eyebrows: Utility? What sort of utility could this product possibly have? Isn't it just another tool for transferring money from gambling retail traders straight into Ken's pocket? Yes and no.
If 0 DTEs weren't useful to the big hands on Wall Street, they wouldn't account for half of the daily options volume. For starters, they're cheap and super easy to manage. No strings attached: you buy them today, and they're gone by tomorrow.
But just how useful is that?
Well, let's dive again into the world of fund managers, traders, and anyone who manages a book.
The overnight hypothesis
Unlike degenerate retail gamblers, these professionals have risk managers constantly breathing down their necks about risk limits.
One thing I vividly remember from my time on the trading floor was the risk manager urging us to flatten our books during the last half hour of trading. That's right, no delta exposure overnight. Why? Because we never know what can happen, and if something does, who will manage your book?
Long-dated options brought all sorts of complications, though. Sure, you eliminated delta risk, but now your vega exposure wasn't exactly where you wanted it to be. And what was the point of buying when you knew full well that you'd just dump them first thing in the morning?
I wish I had 0 DTEs available at the end of the day to cover overnight exposure without thinking about it the next morning, as they would disappear from the book by the end of the day.
A side note: We're not suggesting that this overnight hedging mechanism is the primary driver of 0 DTE flow, but it might contribute a little. Your job as a retail trader isn't to be cynical and dismissive but to truly understand why 0 DTEs are used so extensively.
Now that we have a use case, we can look for an edge. Here's the thesis: We know that people managing books must get multiple risk measures in check by the end of the day, and 0 DTEs provide much more flexibility than long-dated options. Could it be possible that the end-of-day flow creates an influx of demand that distorts prices and creates inefficiencies?
Let's take a look at the data.
The curious relationship with VVIX
First, let's establish the conditions of our experiment. We'll only use tickers with daily contracts (0 DTE) since their introduction in 2022. This includes SPY, IWM, QQQ, and, more recently, TLT, GLD, SLV, USO, and UNG.
We'll assume we could sell an ATM straddle at the mid-price the day before expiration at 3:50 pm and exit at the mid-price the next morning at 9:35 am. This is essentially an overnight trade, attempting to capture any potential price imbalances caused by hedging flows.
Every position is normalized, assuming $1 of credit received per straddle sold.
At first glance, this chart might not seem very informative. However, something immediately caught our attention: the best time to sell 0 DTE options overnight was in early 2022. It's hard to forget that period—the beginning of the war in Ukraine and Jay Powell's fast and furious race against inflation. Let's just say markets were a bit unsettled.
This is quite peculiar. Normally, boring is good for business when you're on the short side, and you tend to close up shop when there's too much risk in the market.
Last week was another prime example: when VVIX moved up 10%, we were the first to scale back our positions, unwilling to take on potential overnight risk.
This is incredibly helpful in refining our hypothesis: could it be that during market turbulence, the overnight hedging flow faces a smaller supply and, consequently, distorts the prices of 0 DTE options?
Let's test this hypothesis using VVIX as a filter.
There's something quite striking here. The average return is almost perfectly linear between VVIX levels of 80 to 130. Let's look at the sum of PnL, which will consider the number of occurrences.
Finding uncomfortable yet very profitable edges.
On average, VVIX hovers around 90 and rarely spends much time above 110. When selling options, a commonly accepted risk management threshold is to start viewing things differently when VVIX surpasses 100.
As it turns out, you might want to scale down on longer-dated options and instead focus on the ultra-short-dated ones during these periods.
So, let's examine the cumulative PnL if we were to enter this trade only when VVIX was above 100.
This already looks much more promising. We've indeed captured most of our initial observations, and we can see that overall, most periods of turmoil were positive.
The issue with this approach is that it filters out many signals. The distribution of VVIX in 2022 isn't too different from its distribution since 2007, and it only spends less than 80% of the time above 100.
So, what happens if we're willing to accept a slightly higher level of risk and look to implement this trade as soon as VVIX rises above its historical average?
This becomes a trade that's hard to ignore, as every "crisis" over the past two years has shown a clear path to profitability for those willing to take on that overnight risk.
Now, a few words of caution. To our knowledge, this is the first documented study of the overnight effect in 0 DTE options. You might want to wait for academia to develop more scientific and robust testing methods. The closest thing we could think of was the Weekend Trade documented in Positional Option Trading by Dr. Sinclair.
In full disclosure, we all agree that more digging will be required. However, it's good enough for us traders, and we'll start trading it. But you shouldn't take this (or anything we publish) as financial advice.
The dataset is still relatively small (1,913 trades across eight tickers, mainly indices) since January 2022, and we may not have seen the event that could wipe out this strategy in a single day. However, we like that this trade would make many in the marketplace uncomfortable. We were in that position last week. This is a time when volatility supply decreases, leaving more room for those willing to take on the risk.
Is the result consistent over every asset class?
But does this hold for every asset class? As a reminder, we've primarily looked at eight tickers. What would the performance look like for each ticker?
There's a clear premium for IWM, SPY, QQQ, and a more moderate one for Gold and Silver. However, could it be because VVIX is a great risk measure for equities but a little less effective for other asset classes?
What if we could examine a close equivalent of VVIX for each asset class? Would we see similar performance to what we observed in equities?
Stay tuned, and join us next week for the answer.
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Disclaimer: The information provided is solely informational and should not be considered financial advice. Before selling straddles, be aware that you risk the total loss of your investment. Our services might not be appropriate for every investor. We strongly recommend consulting with an independent financial advisor if you're uncertain about an investment's suitability.
Is there a discord link somewhere ?