Part 9

Non-directional Strategies

9.1 The framework

At this point you should have a decent understanding of how the markets work and how you can make money. This chapter covers specific strategies you can trade yourself. Every one of them is a risk premium strategy: the return is payment for carrying a risk, which is why the rules can be laid out in full. They are semi-systematic: different strategies with strong systematic rules and reasoning for why they work, with maybe a little bit of discretion sprinkled on top.

This lesson gives you the frame they all hang on. Every strategy in this part can be described by answering two questions. Where does the money come from: who is on the other side of the trade, and why are they willing to pay you over time? That question is the whole subject of the previous part, and it is why every strategy here is a risk premium, so this lesson does not re-litigate it. And what shape do the returns arrive in: does the strategy win often and lose big, or lose often and win big? Traders focus on the first question and ignore the second, and this lesson is mostly about the second, because it determines whether you survive long enough for the first to matter.

9.1.1 The shape of a strategy

Take any strategy, run it for years, and plot the distribution of individual trade outcomes. Almost every real strategy produces one of two shapes.

The first shape wins a large majority of the time, and each win is small. Losses are rare, but when they come they are several times the size of a typical win. The distribution has a fat left tail: most of the mass sits in a tight cluster of small gains, with a thin dangerous stretch of large losses off to the left. Statisticians call this negative skew. This course calls strategies with this shape concave, borrowing the options language from Part 3: a short gamma position has exactly this profile, collecting theta day after day until a large move produces a loss that accelerates the further price travels. Selling volatility is the canonical concave trade, but the shape is broader than options. Carry trades are concave: collecting funding, roll yield, or credit spread each pays a steady drip until the event it insures against arrives. Fading extremes is usually concave too, since most extremes revert quietly and the occasional one keeps going and runs you over.

The second shape loses a majority of the time, and each loss is small. Wins are less frequent, but the good ones are multiples of a typical loss. The distribution has a fat right tail: lots of small negative outcomes, and a stretch of large positive ones that carry the whole strategy. That is positive skew, and these strategies are called convex, again from the options analogy: a long gamma position bleeds theta in quiet markets and gets paid nonlinearly when the market moves. Trend following is the canonical convex strategy even when no option is involved, because a trailing stop manufactures the option-like payoff synthetically: the stop caps each loss at a small fixed amount while the absence of a profit target leaves the upside open. Breakout trading, buying cheap volatility, and holding directional positions into positioning squeezes all live on this side.

The mapping to options greeks is a useful mnemonic, but it can mislead. Convexity here is a property of the strategy's return distribution, whatever instrument it trades. You can build a convex strategy out of plain futures (trend following with stops) and a concave strategy out of long stock (selling every rally in a range). What matters is the shape of outcomes the rules generate over hundreds of trades.

This distinction leads the whole part because shape is deceptive in both directions. A concave strategy photographs beautifully. Its equity curve grinds up in a nearly straight line for months, its win rate sits somewhere between 70 and 85 percent, and anyone running it looks like they have found something. The tail event isn't visible in the picture until it happens, and when it happens it takes back months of gains in days. Premium sellers who publish their track records almost always publish the staircase and blow up off camera. A convex strategy photographs terribly. Its equity curve spends most of its life underwater or flat, its win rate can sit near 30 percent, and anyone running it looks like they're guessing. Then a real trend arrives and one position pays for the whole year. Both pictures are honest and both are misleading, because a win rate describes the shape and says nothing about quality. A high win rate means a concave strategy.

9.1.2 Expectancy

To compare strategies across shapes you need a number that is indifferent to shape. That number is expectancy: the average amount you make per trade, counting the losers.

Write it in R units, where 1R is the amount you risk on a single trade. If p is the probability of a win, W is the average winner in R, and L is the average loser in R (a positive number), then:

In plain terms: how often you win, times how much you win, minus how often you lose, times how much you lose. If the result is positive, the strategy makes money on average per trade. If it's negative, no amount of discipline, patience, or psychology will save it, because you're averaging down on a losing bet forever.

Run the two shapes through it. A concave strategy that wins 85 percent of the time for +0.5R and loses 15 percent of the time for -1.5R has expectancy 0.85 * 0.5 - 0.15 * 1.5 = 0.425 - 0.225 = +0.2R. A convex strategy that wins 30 percent of the time for +3R and loses 70 percent of the time for -1R has expectancy 0.30 * 3 - 0.70 * 1 = 0.9 - 0.7 = +0.2R. Identical expectancy. Every hundred trades, both strategies expect to earn 20R. If you risk 1 percent of your account per trade, both expect roughly 20 percent per hundred trades before compounding effects.

And yet living inside these two strategies feels nothing alike. The concave trader watches wins pile up week after week and has to stay paranoid about a loss he's rarely experienced. The convex trader takes loss after loss and has to keep executing a system that looks broken. Run the streak math on the convex one: with a 30 percent win rate, the probability that any given eight consecutive trades all lose is 0.7^8, about 5.8 percent, which sounds tolerable until you realize how many overlapping eight-trade windows a year contains. Over a hundred trades, the longest losing streak will typically run into double digits. That is the strategy working as designed, and if you don't know the math in advance you'll abandon it at trade eleven of a thirteen-trade losing streak, right before the winner that pays for everything.

Expectancy also disciplines how you read track records, including your own. For a convex strategy, a bad quarter is close to meaningless: the strategy earns its money in rare bursts, so any window that happens to exclude a burst looks awful. For a concave strategy the problem is worse and inverted: a good year is close to meaningless, because the term that dominates the expectancy calculation, the average loss L, is estimated from events you may not have seen yet. A premium seller with 50 trades and no tail event has measured p and W with decent precision and has measured L barely at all. His backtest of the loss term is close to a guess. This is why the straddle backtests on the platform show you the full distribution of outcomes rather than just the mean: the shape of the worst decile tells you more about survivability than the win rate does.

Two adjustments turn expectancy from a textbook formula into a working tool. It has to be net of costs. Spread, commissions, funding payments, and borrow fees come straight out of the W and L terms, and for high-frequency-of-trade strategies they are decisive: an edge of +0.1R gross with 0.05R of round-trip costs is half an edge, and the same costs applied to a +0.05R edge are the whole edge. Back in the microstructure lessons you saw that crossing the spread is a real price; here's where it lands on the ledger. And expectancy per trade means nothing without frequency. Annual expectation is roughly expectancy times trades per year times risk per trade. A strategy earning +0.15R over 40 trades a year at 1 percent risk adds about 6 percent to the account annually. A strategy earning +0.05R over 300 trades at the same risk adds about 15 percent. The smaller edge is the better business. When you evaluate the strategies in this part, always carry all three numbers in your head: the edge, the frequency, and the size.

9.1.3 Why you want both shapes in a book

Edges come mostly in two shapes, concave premia and convex trend, and the reason to run both comes down to when each one gets paid.

Concave strategies earn in calm regimes. Ranges, contango, positive drift, compressed volatility: this is the weather in which premium selling, carry collection, and extreme-fading print their steady streams, and it is the prevailing weather, which is why these strategies have high win rates. Their losses concentrate in exactly one kind of environment: the fast, correlated, high-volatility unwind. Convex strategies are close to a mirror image. They bleed in the calm chop, and they earn in sustained directional moves, which disproportionately include the violent ones. A market crash is a tail loss for a short volatility book and a trend for a momentum book. The environments where each shape suffers are close to disjoint, and the environment where the concave book takes its worst beating is often the one where the convex book has its best quarter.

The diversification that counts here is across the shape of the payoff, so that no single kind of market can hit your whole book at once.

Treating this as a hedge will hurt you. A momentum sleeve doesn't arrive on schedule to offset a volatility spike; trends take time to form, and a one-day crash can hit the concave sleeve fully before the convex sleeve has caught anything. Worse, careless construction can make the two sleeves the same trade in disguise. If your concave sleeve is short index volatility and your convex sleeve is long a basket of high-momentum stocks, both are effectively long the equity market, and a 5 percent down day hits both simultaneously. Shape diversification only works when you also watch the shared exposures underneath, which is a large part of what the final lesson of this part is about.

When it's built honestly, part of the payoff is pure arithmetic. Compounding punishes volatility and it punishes drawdowns asymmetrically: a 20 percent drawdown needs 25 percent to recover, a 50 percent drawdown needs 100 percent. Two return streams with positive expectancy and offsetting bad environments produce a combined curve with shallower drawdowns than either alone, and the shallower curve compounds faster even when the average returns are unchanged. You'll see the full mathematics of this in the risk part of the course; for now the qualitative claim is enough, and it's not close.

Another part is informational. When one sleeve draws down, the other sleeve tells you whether the world is broken or just doing its job. If your premium-selling book is bleeding while your trend book is earning, that's the expected texture of a volatile trending market. If both bleed at once, that's the signal to look for the shared exposure you missed.

The behavioral payoff is, in practice, the most valuable. Every strategy shape has a signature failure of discipline attached to it. The concave trader, after months of wins, gradually sizes up until the tail event is fatal instead of painful, or abandons the strategy in disgust immediately after the tail event, which is statistically the best moment to keep running it. The convex trader, ground down by the losing streak, skips trades or shrinks size right before the payoff arrives, converting a positive-expectancy system into a curated collection of its losses. Running both sleeves softens both traps at once, because the book as a whole keeps producing something in most environments, and a trader whose account is roughly flat is far more capable of following rules than one staring at a 30 percent hole.

9.1.4 The map of the two strategy parts

The strategies are split by what they need you to be right about. This part covers the non-directional trades: they are built on the volatility surface and make or lose money on how much a market moves, in either direction. Part 10 covers the directional trades: each starts from a view that a market goes up or down. Here is the layout so you know where everything lives, and which shape each one is.

This part has five strategies. VRP harvesting sells 30-day premium on ETFs, the weekend strangle sells the same structure on SPY and IWM from Friday to Monday, and selling the earnings implied move does the same thing around a single event; all three are concave, collecting rich premium and warehousing the tail. Then two convex trades that buy underpriced volatility: the pre-earnings long straddle, which buys cheaply priced event volatility three weeks before the report (its lesson also covers the post-earnings drift that follows the print), and the long calendar, which buys mispriced forward volatility. The part mixes the two shapes on purpose, so you must always know whether a given position is short the tail or long it.

Part 10 opens with the Regime, the platform's single reading of trend and positioning for every market, and how it fits into choosing direction, structure and size. Then three directional strategies: option convexity, which buys out-of-the-money calls or puts on names the screener flags through momentum, skew and dark pool flow, and futures and crypto, run on the same engine: trade the linear instrument, lean with momentum rather than fade it, take the convex shape from a trailing ATR stop. All three are convex. The last lesson of Part 10 assembles the strategies from both parts into a book: how much risk each sleeve gets, how the concave and convex shapes correlate, and how to notice when positions that look diversified have quietly become the same bet.

One rule of reading applies to every lesson ahead. When a strategy's entry criteria cite the platform's numbers, the thresholds are the interpretable surface of the reading: a momentum reading beyond plus or minus 10 says the trend has a direction, a z-score beyond plus or minus 2 is an extreme, a COT index near 0 or 100 is a positioning boundary. You don't need what's inside the composite readings to use them, any more than you need a weather model's source code to bring an umbrella. What you need, and what each lesson gives you, is what the reading describes, how it looks at its extremes, and how it fits beside your own view when you decide what to trade.

The first strategy up is VRP harvesting, the flagship of the concave family and the most persistent edge in the options market: selling rich volatility on ETFs, collecting the premium the market pays for insurance, and defending the tail that comes with it. Everything you learned about the volatility risk premium in Part 3 is the groundwork for it.

9.2 VRP: selling volatility on ETFs

VRP harvesting is the flagship of the concave family: the most persistent, best documented edge in options markets, and the one that has ended more trading accounts than any signal failure ever will. Both facts are true at the same time, and holding them together is the whole skill. This lesson lays out one complete version of the strategy: what you sell, when you sell it, when you get out, how big, and what the backtest of those rules looks like. The long-form research with every dead end is on the blog in Sensible Gamblers' Guide to Shorting Volatility. The rules here match it with one change, the exit: retesting with more realistic trading costs found a better exit approach, covered below.

9.2.1 Why the premium exists

Implied volatility is the market's price for the movement over the life of an option. It carries a forecast, and on top of the forecast it carries risk compensation, hedging costs and plain supply and demand. Hedgers buy protection at almost any price, speculators buy cheap lottery tickets, and the people on the other side need margin and a strong stomach, so they demand to be paid. The gap between what options price in and what the market then delivers is the volatility risk premium, the subject of Part 3. It is a risk transfer, the same reason insurance premiums exceed expected claims. Nobody looks at a profitable insurer and concludes the insurance market is broken.

The insurance comparison carries a second lesson that the "sell options for income" crowd forgets. Insurers are picky. They don't write a policy on a house in the middle of a wildfire. Options are rich on average, which tells you nothing about whether the specific option in front of you is rich today, and the losses when you get it wrong are many times the premium. The rest of this lesson is the underwriting.

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9.2.2 What to sell it on: ETFs

The premium shows up across every asset class, and you can collect it on single stocks, ETFs or futures. This strategy uses ETFs. Futures options cover the same underlyings with contract sizes, roll mechanics and exchange quirks on top, and ETFs now cover crypto as well. Single stocks pay a similar premium with a much fatter tail: earnings, company news and gaps. A stock moves 8 percent or more in a session about 7.7 times a year on average, an ETF about 0.7 times, and the worst single window for a typical stock is far deeper than for a typical fund. Earnings are a tradeable premium of their own and get their own lesson next. For the 30-day trade, stocks bring the tail without improving the result.

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The universe is plain ETFs: no leveraged, inverse or volatility products, and only funds whose options trade at least 10,000 contracts a day on a 20-day average. A leveraged fund's realized vol is its underlying's times the leverage, so it inflates every reading without adding anything you couldn't get from the fund it tracks.

9.2.3 The structure: a 16-delta strangle, 30 days out

Short options are short gamma, short vega and long theta. Gamma is highest near expiry, so a one-day straddle on SPY needs the market inside about half a percent to make money, and you cannot leave the screen while it is on. Options with 30 to 45 days to run decay meaningfully without extreme gamma from day one, collect enough credit to be worth the work, and on standard monthly expiries they are the most liquid contracts on the chain. The trade targets 30 days to expiry on the standard monthly, entered between 21 and 45 days.

The structure is a short strangle with both strikes at 16 delta, roughly one standard deviation away. If the market prices 20 percent vol for the next 30 days, the expected move is about 5.7 percent, and a 16-delta strike sits near there on each side: you are selling the strikes at the move the market itself is pricing. The second reason is the vega profile. A variance swap, the cleanest form of this trade, pays realized against implied variance with the same volatility exposure wherever the underlying wanders. You can't trade one outside the dealer market, and a strangle with wings around 15 to 25 delta comes close, holding roughly constant vega across the range the underlying visits within a one-sigma move. A straddle concentrates all its vega at one strike, so the more the underlying drifts the less volatility exposure you have left.

Every structure has the same problem: positive average, fat left tail. Sell a straddle or a strangle every month on every fund and the mean trade is positive, and the COVID cycle alone takes back years.

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Buying wings is the obvious fix, and the chart shows why it fails. Wings close enough to the market to matter are priced at skewed, inflated implied vol, so you pay the premium you came to collect to someone else. Wings far enough out to be cheap only protect against something like a two standard deviation move. Either way the mean collapses. The survival tools that work are the entry filters and an exit, in that order.

9.2.4 The entry: three conditions

The thesis is that the market stays calm for the life of the option, so each condition is a reading that has historically told you something about how much the fund will move over the next month.

IV over RV above 1. Thirty-day implied vol divided by 20-day trailing realized vol. When implied sits well above what the fund has been doing, the move that follows tends to be smaller, and the effect is monotonic: the top decile of the ratio realized about 19 vol points over the next 30 days, the bottom decile about 26.

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IV percentile below 80. The fund's 30-day IV ranked against its own previous 252 sessions. Here the usual advice is backwards. Selling options because "IV is high" sounds right, and the data says the higher the percentile, the more volatility follows, with the acceleration starting around the seventh decile. Low percentiles are where the trade lives: the median selected trade enters around the 13th percentile. The cap of 80 skips only the part of the distribution where the market is already moving.

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30-60 forward vol percentile below 30. The 30-day and 60-day options overlap, and the variance between them is what the market prices for days 30 to 60. Variance adds over time, so:

Rank that number against the fund's own trailing year. Volatility clusters, so a market that prices a shaky second month is usually already shaky, and the front premium you'd be collecting hasn't caught up. A low forward percentile means the market expects calm after your expiry too. Of the three conditions this one does the most work: removing it took the backtest Sharpe from about 1.2 to about 0.7.

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With the three conditions, one position per fund at a time, and the liquidity floor, the blind straddle's 500 trades a year shrink to around 70. The mean trade improves and the worst trade stays in the tape, which is what the exit is for.

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9.2.5 The exit: IV percentile at 80

The only thing that saves a short vol book in a 2020 is not being in it when the crash arrives. Every day the position is open, check the fund's IV percentile on the previous close. If it has reached 80, close the strangle. Otherwise hold to expiry and let it settle.

The logic mirrors the entry. A high IV percentile is the reading that precedes more realized vol, so the moment the fund climbs into the zone the entry refuses to sell, the trade you are holding has lost its reason to exist. The rule fires on about one trade in five. The other four settle at expiry, which matters because settlement crosses no spread, and every early exit pays one.

The blog version used a different exit: leave when the 30-60 term structure inverts, 30-day IV above 60-day. On 2020-02-19 it got SPY out right before the selloff, and in the early years it kept pace with the IV exit. Then it broke down. The curve inverts on small wobbles all the time, so it fired on 82 percent of trades and cut most winners short, and from 2018 it went sideways while the IV percentile exit kept compounding. Over the ten years from February 2016, both at mid, the slope exit's Sharpe was 0.46 against 1.33 for the IV exit. Every early exit also costs a spread in real trading, so a rule that fires on four trades in five gets worse once you pay to trade, while one that fires on one in five barely notices. The IV exit still handles the crash: on the COVID cycle, holding to expiry lost 665 percent of the priced move, the IV exit about 33 percent.

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Be clear about what this exit is: insurance against a COVID-type unwind, with one observed payout. Three trades were open into that cycle, so the protection rests on very few data points. It does not stop a fast shock either. In the 2010 flash crash it lost about as much as holding, and in August 2015 it lost more, because the percentile only crosses 80 after the move has happened and the exit then sells at the worst marks. Without the 2020 cycle, holding to expiry would have the better record. You keep the exit for the cycle that would otherwise end the account.

9.2.6 Delta hedging instead

Delta hedging is the other way to manage the position, and the backtest says to pick one. A short strangle starts near delta neutral and picks up delta as the underlying moves. Hedging it back toward zero with shares removes the drift, the slow grind through a strike, and costs commissions and spread on every rebalance. In place of an arbitrary fixed band, research finds an optimal band that widens with gamma and narrows with implied vol, and the Delta Hedge calculator under Tools computes it for any position. Hedge back to zero delta at the close when the band is breached.

Hedging smooths the ride, and a gap defeats it: when a market opens 10 percent lower, an end-of-day hedge has nothing to offer. Run with the IV exit over the same ten years, hedging lowered the Sharpe from 1.33 to 1.17 at mid, so combining both buys you nothing. If you don't want the exit, hedge. If you take the exit, don't hedge. The rules in this lesson use the exit.

9.2.7 Sizing

Two numbers decide size, and the smaller one wins.

The first is the tail check. In the Position Builder, look at a two standard deviation move on the strangle and imagine the market closing there tomorrow. At that point the IV percentile would be through 80 and you'd exit on the next session, so that loss is roughly your realistic worst case on one position. Keep it at 2 to 4 percent of the account, toward the bottom of the range when you already hold correlated funds.

The second is a Kelly fraction. The short volatility block in the Position Builder takes your effective fill IV, the implied vol your actual fill represents, and a forecast realized vol, then simulates terminal prices at that forecast against your fill and reports a Kelly fraction. The forecast in these rules is:

Check it against the HAR volatility forecast on the symbol's analytics page. If the HAR forecast is lower, you can use it. Then take one tenth of the Kelly fraction, never the full number. Full Kelly on a negatively skewed trade is a plan to blow up.

9.2.8 The backtest

The backtest runs February 2016 to August 2026 on every trade's actual option chain: entry on the session nearest 30 days before the standard monthly expiry, the three entry conditions read on the prior session, one position per fund at a time, and the IV percentile exit read one session late, so nothing uses information you wouldn't have had. Trades that don't exit early settle at expiry. Each month's trades are weighted equally, and the whole series is scaled to 12.5 percent annual volatility, a sensible level for a negatively skewed strategy.

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Every number here is at mid fills, entries and exits alike, so read them as the strategy before costs. You will pay part of the spread on every entry and on every early exit, and the wider the market, the bigger the bite, which is why execution gets its own step below.

The weakness is the same one every short volatility record has. The sample has one real crash, and the exit's protection in it comes down to three trades. Size as if the next crash will be worse than the one in the backtest.

9.2.9 Finding and structuring a trade

Here is the whole workflow on one trade, IWM in September 2026.

The screener. The Vol screener under Equities, Screeners, set to Sell Vol and ETFs, opens with the entry filters already applied: IV percentile 0 to 80, 30-60 forward vol percentile at most 30, 20-day option volume at least 10,000, and leveraged, inverse and volatility products excluded. Its preset also carries a TS Slope filter (30-60 slope in contango), a leftover from the old exit rule that the backtested entry does not use. Sort by VRP and read the IV/RV column, which needs to be above 1.

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The list is a shortlist, and the discretion starts here. Funds that move together are one bet: SPY and IWM, KWEB and FXI. Books with an average correlation around 0.5 had smaller drawdowns in testing, so the rule is to hold no more than two highly correlated funds and aim for about five positions in total.

The checks. Open the fund's options page and confirm each condition on its own charts. IWM traded 1.4 million contracts a day against the 10,000 floor, IV sat at the 13th percentile, and the 30-day IV of 17.7 percent against 12.6 percent realized gave a VRP of 5.1 percent and an IV/RV of 1.40.

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The structure. Build the strangle in the Position Builder on the standard monthly closest to 30 days, here 35 days out. In practice the strikes go at the edges of the one-sigma range from the price distribution model, which the builder adjusts to the exact days to expiry, instead of at exactly 16 delta. For IWM that range ran from about 275 to 304.5, so the trade sold the 275 put and the 304 call. The put came out at 21 delta and the call at 16, so the position starts slightly long delta, leaning into the upward drift and the tendency of implied vol to fall on rallies. The width is (304 minus 275) divided by 289, about 10 percent, comfortably above the 5 percent floor. When absolute IV is under about 10 percent, often on bonds, the one-sigma strikes end up only 5 to 6 percent apart and any shock goes straight through them.

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The size. First the tail check: hover the chart at the two-sigma level and read the loss. At 261.44 the strangle loses about 1,210 dollars, and by then the IV percentile would be through 80 and the exit due on the next session.

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Then the Kelly number from the Short Volatility block under the builder. Enter the fill, which gives the effective fill IV, then enter 90 percent of that fill IV as the forecast realized vol and run the simulation.

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A tenth of 10.4 percent is about 1 percent of the account in credit collected. On 100,000 dollars that is roughly 1,040 dollars of credit, or three strangles at 354 dollars each, and three strangles at the two-sigma loss of 1,210 dollars cost about 3.6 percent of the account, inside the 2 to 4 percent band. Both checks agree, so three strangles it is. When they disagree, the smaller size wins.

The order and the daily check. Enter a quarter of the way in from the ask or better, and never fill at an implied vol worse than the market's; the vs Market reading in the block shows it. Then check the position once a day on the volatility panel: is the IV percentile at 80 or above? If yes, close it, starting at the bid and walking toward mid. If no, do nothing until expiry.

The next lesson sells the same strangle on a much shorter clock: once a week, over the weekend, on the two most liquid equity ETFs.

9.3 Weekend strangles: selling the weekend

The VRP strangle sits in the market for a month and needs three filters and an exit rule to survive. This one sits for one weekend and needs none. Every Friday near the close, sell a 16-delta strangle on SPY and IWM on the options that expire Monday, and close it on Monday. No screener, no conditions to check, no forecast. The edge comes from the calendar.

9.3.1 Why it works

An option's price is built on time to expiry, and the pricing models count that time in calendar days. Volatility arrives in trading sessions, when news is digested and orders hit the market. A Friday-to-Monday option spans three calendar days but only one trading session, Monday, plus whatever news lands over the weekend. Research finds that option prices do not fully account for this: over weekends and other non-trading periods, options lose more value than the risk actually delivered justifies, and option sellers earn noticeably more over a weekend than over a single weeknight. The effect has survived years of being publicly known, partly because the trade is small, short-dated and operationally annoying for large capital, and partly because most option buyers over a weekend are buying protection, and value comes second.

The 16-delta strikes sit about one standard deviation away by the market's own pricing, and the market overprices that standard deviation for exactly the reason above. So the typical weekend ends with both options expiring worthless and the whole credit kept. The tail is the weekend that brings real news: a geopolitical shock, a policy surprise, a Monday gap. That is the same concave shape as every short option trade in this part, compressed into three days.

9.3.2 The rules

When. Every session that is followed by at least 3 calendar days without trading: normally Friday, and the Thursday before Good Friday or a Friday holiday.

What. On SPY and IWM, sell the put nearest -16 delta and the call nearest +16 delta on the first expiry on or after the next session: Monday's expiry, or Tuesday's after a Monday holiday. Skip the weekend if either side has no strike within 6 delta points of 16, or if no expiry lands within 4 calendar days.

Closing on Monday. In the last 15 minutes of the expiry session, check each leg. A leg that is in the money or within 0.25 percent of its strike gets bought back. Every other leg is left to expire worthless. You never carry a leg that could be assigned into the close, because an assignment on an ETF you didn't want turns a weekend trade into a share position over the next night. About a third of trades need one leg bought back.

Fills. Entry at mid, and the Monday buy-back at mid, with commissions.

9.3.3 The backtest

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The median weekend keeps almost the whole credit, and the average keeps about 30 percent of it, because the losers are large. The worst single trade lost about ten times its credit, on a weekend when SPY gapped 2 percent. That ratio, a few dozen small wins paid back by one loss of ten credits, is the strategy. It works because the small wins arrive almost every week and the big losses do not. It stops working the moment you size it as if the big loss will not come.

9.3.4 Step by step

Friday, last half hour. Open the SPY and IWM chains in the Position Builder, pick Monday's expiry, and find the put and call nearest 16 delta. Check the credit and that both strikes sit well outside the current price. Sell the strangle as one order at a limit near the mid.

Size it. The backtest puts 1 percent of equity in premium on each weekend, split evenly between the two ETFs. Then check the tail on the Position Builder: a 3 percent gap on Monday morning is a realistic bad weekend, and the loss there should fit comfortably inside your risk budget. Margin matters more than usual on a short-dated short strangle, so confirm the requirement before the order goes in.

Monday, last 15 minutes. For each leg: is the ETF through the strike, or within 0.25 percent of it? Buy that leg back at a limit near the mid. Otherwise do nothing and let it expire.

Every weekend. Trade it every eligible weekend, the boring ones and the nervous ones. You cannot tell which weekend brings the gap, and skipping the quiet-looking ones gives up the small wins that pay for the loud ones.

The next lesson takes the same premium and compresses it around a single known date, selling the implied move into earnings, where the entire IV crush resolves in a day and both the edge and the failure modes get sharper.

9.4 Earnings: selling the implied move

Selling the variance risk premium over a 30-day window means managing a position through weeks of decay and condition checks. This lesson runs the same insurance business at a completely different tempo: the policy is written near the close of one session and closed near the close of the next. On stocks reporting earnings, you sell the ATM straddle on the session before the print, hold through it, and buy the straddle back on the first session after it. The whole trade, edge and risk alike, resolves in one day.

You already have the mechanics from the earnings and event volatility lesson back in the options part. The implied move is the ATM straddle price divided by spot, roughly 80 percent of a one standard deviation move. IV ramps mechanically into the event as calendar days burn off around a fixed lump of event variance, peaks at the close before the print, and collapses the next morning when the uncertainty resolves. The empirical fact is that, averaged over large samples, implied moves systematically exceed the moves stocks actually make. A name pricing 7 percent realizes something like 5, quarter after quarter, across most of the market. That gap is the volatility risk premium at the single-event level, and this strategy collects it.

What this lesson adds is the strategy layer: a complete set of rules, the backtest of those rules, a step-by-step walk from the screener to a closed position, how to size a position whose loss is open-ended, and why the number of trades matters more than the quality of any one of them. It does destroy people. Of all the strategies in this part, earnings vol selling has the widest gap between how easy the average trade feels and how bad the worst trade gets.

9.4.1 The bet you are actually making

Be precise about the thesis, because imprecision here leads directly to bad decisions at the open. Stocks move on earnings; that is the whole reason the options are expensive. The bet is that the stock will move less than the options market has priced. If the implied move is 8 percent and the stock gaps 5, you were right and you get paid, even though the stock just had one of its biggest days of the quarter. If it gaps 12, you were wrong and you pay out, even if the headlines call the reaction muted.

The numbers themselves don't matter either. Whether the company beats or misses, raises or cuts guidance, is irrelevant to the position. A short straddle has no directional view and no fundamental view. Its only view is that the market's priced uncertainty exceeds the uncertainty that will actually materialize, and that view has been right more often than wrong for as long as clean options data exists, for reasons the event volatility lesson laid out: the demand side is price-insensitive (institutions hedging positions they can't exit, retail buying lottery tickets at peak prices) and the supply side can't hedge through a gap, so market makers pad the implied move above the honest expectation. You step in as the insurer and collect the padding.

The insurance framing is the operating manual for this strategy. An insurer collects small premiums on many policies and occasionally pays out on a wreck. No single policy is a good or bad decision in isolation; the business is the portfolio. Every design choice in this strategy, the structure selection, the sizing rules, the insistence on volume over selectivity, follows from taking that framing literally.

It is the most sharply concave trade in this part. Your maximum profit on any position is the credit received, fixed at entry. Your maximum loss is wherever the stock opens. The framework lesson called this shape winning small and often while occasionally losing big, and earnings selling delivers the extreme version: individual losing trades routinely cost 3 to 5 times the premium collected, and an extreme gap can cost 10 times or more. The edge is real, but on any given night the payoff is asymmetric against you. Both facts are true at once, and the trade only makes sense if you accept both.

9.4.2 Why the other side loses

The mirror-image trade, buying the straddle into the print, is a common first instinct, and it fails for reasons worth understanding.

The long straddle into earnings needs the stock to move more than the implied move just to break even, and the implied move is already inflated above the historical average. You're paying peak premium, at the top of the mechanical IV ramp, for a position that will lose most of its extrinsic value overnight no matter what happens. The event volatility lesson worked the numbers: a stock that gaps 4 percent against a 6 percent implied move hands the straddle buyer a 20 percent overnight loss on a night the stock moved hard. The moves large enough to pay the buyer exist, but they're the tail of the distribution, they aren't predictable in advance, and over any reasonable sample the systematic overpricing means the seller has the expectancy.

There's a version of buying event volatility that does work: getting in weeks early, while the event variance is still cheap, and getting out before the print, riding the repricing rather than the resolution. That's a different strategy with different mechanics and its own lesson next. The line between the two is the close on earnings day. Before it, vol buyers can have an edge. Across it, the sellers do.

9.4.3 The rules

Every rule below is mechanical, and each one is in the backtest that follows.

Which events. Stocks only, with a known report time. Three gates, all read on the close of the session before you enter: the stock trades above 10 dollars, its options trade at least 10,000 contracts a day on a 20-day average, and its implied earnings move is at least 1.25 times its average past earnings move. That last ratio is the thesis as a number: the market prices at least 25 percent more movement than this stock has typically delivered on its prints.

When. The trade straddles exactly one print and is closed on the first session after it:

• The report comes after the close (AMC): sell on the report day near the close, buy back near the close of the next session.
• The report comes before the open (BMO): sell on the session before the report near the close, buy back near the close of the report day.
• The report time is unknown: no trade.

What. The at-the-money straddle, the call and put at the strike nearest spot, on the first expiry on or after the exit session. That expiry must land no more than 5 calendar days after the report. A stock with only monthly options a few weeks out does not qualify, because most of what you'd sell is weeks of ordinary movement you have no view on, with the event a small part of it.

Fills. Both legs at mid in the backtest, entering and exiting near the close, with commissions on all four legs.

9.4.4 The backtest

The backtest runs every qualifying event from February 2016 to August 2026 on the actual option chains, one trade per stock per report, with every trade sized at 1 percent of equity in credit collected and the monthly series scaled to 12.5 percent volatility.

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Read the shape before the headline. The median trade keeps about 18 percent of the credit, the average trade only about 3 percent, and the worst trade lost almost 4 times the credit. That is the concave profile at its sharpest: most nights pay a little, and a few nights take back months. The first three years of this backtest were a drawdown, so a trader who started in 2016 spent until 2020 underwater. The edge only shows up over hundreds of events, which is the whole point of the last section of this lesson.

9.4.5 Step by step

1. Build the list in the afternoon. The Earnings Screener under Equities, Screeners lists stocks reporting inside the window you pick, with price above 10 dollars, 20-day option volume of at least 10,000, no ETFs and no pending takeovers already applied. Set the window to the next 3 days and sort by days to earnings. The screener's own threshold is an Impl/Avg ratio above 1; the rule needs 1.25, so cross off everything below it.

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2. Check the report time and the expiry. For each name, confirm whether it reports before the open or after the close, which sets your entry session, and confirm there is an expiry within 5 calendar days after the report. No weekly that close: skip it. Unknown report time: skip it.

3. Look at the earnings tab. The backtest takes every event that passes the gates, so the tab only checks the inputs. Confirm that the average move behind the ratio is real and that the max historical move is one you can size for.

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4. Sell the straddle near the close. In the last 15 to 30 minutes of the entry session, sell the ATM straddle on the qualifying expiry with a limit order near the mid. Look at the straddle's bid-ask spread against the credit before you send it: if you are collecting 3.00 and the spread is 0.60, a fifth of the credit goes to execution, and the edge you expect to keep is a much smaller slice than that.

5. Buy it back near the close of the first session after the print. The backtest exits near the close of that session, after the market has spent the day absorbing the report and the spreads have normalized. The IV crush happens at the open regardless of the direction of the gap, and waiting for the close lets the option market settle instead of buying back into the widest quotes of the day. Close every position on that session, winners and losers alike; holding past it is a fresh directional bet with no edge.

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9.4.6 Sizing

The backtest sizes every trade at 1 percent of equity in credit collected. Treat that as the ceiling, then run the worst-case check on the name's own history. The quarterly moves panel on the earnings tab shows the largest move the stock has ever made on a print: assume it repeats tomorrow against you, and size so that loss is one you can absorb.

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On a short straddle, a move of M percent against an implied move of I percent loses roughly (M minus I) percent of the notional. A stock whose record gap is 30 percent against tonight's 9 percent implied costs about 21 percent of the position's notional if that record repeats. When the credit-based size and the worst-case size disagree, the smaller one wins. Check the margin too: short straddles are margined as naked short options, brokers raise those requirements when volatility spikes, and a basket of ten positions entered on one afternoon needs to fit with room to spare for the one that gaps.

9.4.7 Volume is the strategy

Nothing improves this strategy's performance more than taking more trades. That is what separates it from stock picking.

The edge per event is modest and the variance per event is huge. One short straddle is a coin flip with a slightly bent coin; the bend only becomes visible in aggregate. Concretely, expect the edge to show up over 50 to 100 or more events, which at a handful of qualifying names per night across a 4 to 6 week reporting season is one to two full quarters of consistent participation. Any smaller sample will look random, and the painful samples will look like proof the strategy is broken. This is a law-of-large-numbers strategy, and losing quarters are a normal part of it. A quarter where two names gapped through their implied moves can wipe out the small edge collected across the other forty, and the only thing that makes that survivable is having run all forty small and having more quarters ahead. Judge the strategy over years and dozens of events, never over one reporting season.

The practical instruction: trade every name that passes the screener and the earnings tab checks, at the sized-down amounts the rules above produce. Don't rank the candidates by which setup looks best and trade the top two. Selectivity feels like skill, but you have no reliable way to know which of tonight's six qualifying names is the one that gaps 20 percent, and concentrating into your favorites concentrates exactly the risk that diversification exists to dilute. The insurer doesn't insure only the cars it has a good feeling about. It insures everything that passes underwriting and lets the volume do the work.

Volume also buys you psychological survivability, which counts for a lot in a strategy with this loss profile. One blow-up against two positions is a catastrophe. One blow-up against forty positions that month is a line item. The trader running thin and concentrated experiences every tail event as an emergency and starts making emergency decisions; the trader running small and wide experiences the same event as the cost of goods sold and follows the rules. Same market, same edge, different outcomes, and the difference was set at sizing time.

This does mean the strategy has a season and a schedule. During the 4 to 6 peak weeks each quarter, you're at the screen for the last half hour of every session, selling tonight's names and buying back yesterday's. Outside earnings season there's nothing to do, and the correct amount of this strategy to run in the off weeks is zero. If your life can't absorb that daily window during the season, this sleeve doesn't fit your book, and that's a scheduling fact.

9.5 Before and After-Earnings

Every earnings date has two tradeable edges around it, one before the print and one after, and both are long, fixed-risk, convex trades. Before the announcement, a straddle bought weeks early on a cheaply priced event is sold back at the last close before the report. After the announcement, price tends to keep drifting in the direction of the surprise for weeks, and a long option in that direction rides the drift. Neither trade holds a short position through the gap. Both are long convexity with a defined debit as the maximum loss, which is the whole reason they belong together and away from the premium-selling lessons before them.

The platform surfaces both directly. The Pre-Earnings screener lists the upcoming reports that pass the setup described below, so the board you read is already filtered to the names where buying makes sense. The PEAD screener does the same job for the after-earnings drift.

9.5.1 Why the pre-earnings straddle works

An option that expires after an earnings date prices two separate things. One is the stock's everyday movement, which scales with the number of days the option has left. The other is the report, a single gap the market assigns a size to, and that size is the same whether the report is three weeks away or three days.

Quoted IV is that total divided by T. The time left shrinks every day and the event term stays put, so the quoted IV of the expiry climbs on its own as the report gets closer. The climb carries no new information. Someone long the straddle is paying theta on the everyday part the whole time, and on a fairly priced event the two roughly offset: the IV goes up and the straddle price goes sideways or lower. Treat a rising front-month IV into a report as the default path of the trade, with no profit built into it.

The profit comes from somewhere else: the market raising its estimate of the event itself, the m in the formula. That estimate is often set low on a quiet name weeks before anyone looks at the coming report. The weeks that follow bring the reasons to look, from analyst revisions and peers reporting first to hedgers buying protection late, and each can lift the priced move. A straddle bought before they arrived is worth more for it. The position holds no view on the numbers or the direction, and it is sold before either is known.

The event is priced too cheaply weeks out because nobody is paying attention yet. The traders who set the price of the event are the ones who hedge it and speculate on it, and they arrive late: much of the demand for earnings protection and earnings lottery tickets comes in the last week or two, which is when the priced move gets marked up. Three weeks out, the expiry that holds the report trades on the stock's everyday volatility with the event as an afterthought. The conditions below pick the reports where that afterthought is cheapest: the ordinary days are priced below what the stock is moving, the straddle is cheap against the stock's own record, and the report sits close enough to expiry that the event is a large part of what you own. Then the trade sells into the late demand on the day before the print, and lets someone else hold the actual event.

It is the mirror image of the earnings sale in the previous lesson. That trade sells the event premium at its peak, the close before the print. This one buys it before the peak forms and sells it to the people who will pay the peak. Both make money from the same crowd arriving at the same time.

9.5.2 The rules

The screener tests every upcoming report against the core conditions, and the backtest adds a few more. A name has to pass all of them on the evening you evaluate it.

Negative ex-earnings VRP. The stock's 30-day implied volatility with the earnings event stripped out sits below its 20-day realized volatility, also measured without the earnings days. For two to three weeks you pay for the ordinary days between entry and the report. When the options price those days below what the stock is actually moving, that part of the position costs less than it delivers.

A cheap straddle. The straddle on the first monthly expiry after the report costs no more than 2.33 times the stock's average earnings move. The cap sits well above 1 on purpose, because a monthly straddle carries weeks of ordinary movement on top of the event. Past 2.33, the straddle is expensive against what this stock has actually done on its past reports.

The report close to expiry. The report lands no more than 15 calendar days before that monthly expiry. With little time left in the option after the report, the event makes up a large share of what the straddle holds, so a change in how the market prices the event shows up clearly in the price you sell at.

An implied move that has not run ahead. The backtest also requires a non-negative pre-earnings score. The score compares today's implied move with the move the market priced on the last report, the move the stock actually made last time, its average realized move, and its average implied move. It turns negative when the market is already pricing more than the stock's history supports. The screener does not show the score yet; on the earnings tab, the check is that today's implied move sits at or below the last implied move and close to the average realized move.

Liquid and tradeable. Price above 10 dollars and at least 25,000 option contracts a day on a 20-day average. The screener defaults to 10,000; set its volume filter to 25K to match the backtest.

Timing. Evaluate each report once, when it is 14 to 21 days away, and skip it if the report is less than 20 days after the stock's previous one (a misdated calendar entry).

Before entering, open the earnings tab and check that the average move is not resting on one outlier quarter. A stock with a single 20 percent gap and eleven quiet reports has an average that overstates what a typical report does, and a straddle that looks cheap against that average is fairly priced against the other eleven.

9.5.3 Step by step

1. Read the screener each evening. The Pre-Earnings screener under Equities, Screeners lists the upcoming reports that pass the first three conditions: negative ex-earnings VRP, the straddle at most 2.33 times the average move, and the report no more than 15 days before the monthly expiry. Set the volume filter to 25K, and look at names whose report is 14 to 21 days away.

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2. Check the earnings tab. Confirm the report date and time, that the average move is not resting on one outlier quarter, and that today's implied move sits at or below the last implied move and close to the average realized move (the pre-earnings score in the rules).

3. Buy the straddle the next session, near the close. The at-the-money call and put on the first monthly expiry after the report, at a limit near the mid, for about 1 percent of the account in premium.

4. Sell it near the close of the last session before the print. The report day itself for an after-close report, the session before for a before-open report. If the report date moves, follow it; if it moves past the expiry, sell at once.

9.5.4 The pre-earnings long straddle

Entry. On the session after the evaluation, buy the at-the-money straddle on the first monthly expiry after the report: the call and the put at the strike nearest spot, near the close, at a limit near the mid. Monthlies quote tighter than the weeklies around a report, and since you sell before the event, the extra time in the option costs little.

Exit. Sell the straddle near the close of the last session before the print. A report after the close is sold on the report day itself, before the numbers come out; a report before the open is sold on the session before. Confirm the date while you hold, because a postponed report removes the reason for the trade. If the report moves past the expiry, sell at once; the position is never held into the expiry session.

Size. The backtest risks 1 percent of equity in premium per trade. The debit is the whole risk, so 1 percent paid is 1 percent at most lost.

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This is the convex mirror of the earnings sale. More than half the trades lose, most of them a small slice of the debit, and the strategy lives on the winners that return one to nearly three times what was paid. Plenty of individual trades lose most of their debit, so the average only shows up across many reports. The flat first six years are the honest part of the picture: an edge this selective can go years with few trades and little to show.

The exit rule is the one to protect. Selling at the last close before the report means the position never holds the event, and the IV collapse after the print never reaches you. The straddle that looks one day away from paying off is the most tempting one to carry through the number, and carrying it makes you the late buyer the previous lesson showed losing at the open. Between entry and exit there is nothing to manage: hold to the exit date unless the report date moves.

9.5.5 After the earnings: post-earnings drift

The second edge starts where the first one ends. Post-earnings-announcement drift, PEAD, is one of the most durable anomalies in equities: after a company reports, the stock tends to keep moving in the direction of the initial reaction for days and weeks, rather than snapping back. A strong beat that gaps up drifts higher; a bad miss that gaps down keeps bleeding. The market underreacts to the news at first and finishes pricing it over the following weeks, which is a slow, tradeable continuation for anyone willing to take the trade after the gap instead of before it.

The trade is directional and, kept convex, is a long option in the drift direction: after a positive-surprise reaction, a long call; after a negative one, a long put. The defined debit is the max loss, so it inherits the same fixed-risk shape as the pre-earnings straddle, and it holds for the horizon the drift plays out over.

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The read is the same logic as everywhere else in this part: the score and the drift history tell you the name has a tendency, and you want confirmation before committing. A high PEAD score with the drift direction agreeing with the name's momentum is the clean setup. Enter after the dust settles from the gap, express it as a long option so the risk is the debit, and give it the weeks the drift needs.

9.5.6 Sizing and managing both trades

Both trades are fixed-risk, and that changes the sizing conversation completely from the premium-selling lessons. Your maximum loss is the debit you paid, known and capped at entry, with no open-ended tail to stress-test and no delta to hedge. That is the good news. The catch is the same law of large numbers that ran through the earnings lesson: the edge on any single event is a small tilt, so it only shows up across many trades, and losing stretches measured in weeks or months are normal. Spread entries across names, sectors, and dates, and judge the sleeve over dozens of events.

Size each position at about 1 percent of the account in debit paid, the size the pre-earnings backtest used. Because that debit is the whole risk, the sizing is simple: the amount you put in is the amount you can lose, and there is nothing further to model.

Management needs one adjustment that the fixed-risk framing can hide. A long option decays, so a position sitting in profit still needs attention before expiration. Theta works against you every day you hold, and a winner left alone can hand back its gains while you wait for a target that never comes. The pre-earnings straddle has a fixed exit on the session before the report, so this applies to the drift trade. When a drift trade is in profit, protect it. Simple technical tools do the job: a moving average the move has respected, exited when price closes back through it, or a volatility-scaled trailing stop.

The trailing stop worth using is based on ATR, the Average True Range, which measures the stock's typical daily range, the average size of a day's move including gaps. A stop set 1.5 times the daily ATR away from the recent extreme trails the position at a distance scaled to how much the stock normally moves: wide enough that ordinary daily noise does not shake you out, tight enough that a genuine reversal takes you out with most of the gain intact. As price runs in your favor the stop ratchets along behind it and never loosens, so it locks in profit on a winning drift trade without capping the upside while the move continues. Use it, or the moving-average exit, to take winners off when the move stalls; holding to expiration donates the gain back to theta.

The next lesson takes the calendar spread, the structure that lets you own the event expiry while financing it with a nearer one, and makes it the whole strategy: trading the term structure itself when the surface misprices forward volatility between expirations. The greeks get messier, and one of the results will look like a paradox until the math resolves it.

9.6 Forward volatility: the long calendar

The previous lesson ended with the calendar spread doing a supporting job: a way to buy an event's volatility without paying full price for the time around it. This lesson makes the calendar the entire strategy. Here the trade is the term structure itself: the specific situations where the vol surface prices the volatility between two expirations too low, with no known catalyst on a known date involved.

The VRP lesson has a symmetry worth setting out before the mechanics start. Back there, a high forward vol percentile kept you out of the trade: when the market prices a rough second month, you don't sell insurance on the first. This lesson stands on the other side of the same curve. When the front of the curve gets bid hard against the back, something happens further out: the volatility implied for the window between expirations gets crushed, and you can own it cheap. The VRP harvester steps aside when the front is stressed. The forward vol trader steps in.

Put the setup in plain language, because that is what tells you when to look for it. This is the instinct that front-month vol is too expensive, expressed surgically and with a hedge. The front gets bid when the market has just had a one-off move or watched a trend end, and it is pricing more of the same in the near term. If you think that move was a one-off and price is going to stabilize, the elevated front-month vol is overpriced and will revert, and the calendar lets you sell it while owning the cheaper back month as protection. That is the mental setup to look for: a market that spiked or broke on a specific piece of news and now, on your read, has no more follow-through coming.

One warning up front, because the rest of the lesson keeps returning to it. This is arguably the most complex trade on the platform. The edge is well documented and the structure has defined risk on both sides, which sounds friendly. But you're trading three greeks at once, they interact in ways that single-greek intuition gets wrong, and the options you need to buy are the least liquid ones on the board. The strategy rewards traders who price carefully, execute patiently, and diversify widely. It punishes everyone else through a thousand small cuts, which in some ways is worse than one blowup, because the account bleeds without ever producing the loud lesson that changes behavior.

9.6.1 A quick reminder on forward volatility

Forward volatility got its full treatment in the options part, so this is only the reminder you need to trade it. A 30-day option's implied vol covers the next 30 days and a 60-day option's covers the next 60, and the two windows overlap. The volatility the surface implies for the gap between them, days 31 through 60, is the forward volatility, and it is the object this whole strategy trades.

When the front of the curve is bid up relative to the back, the backwardation this trade is built for, that embedded forward vol gets pushed down, and you can own it cheap through a calendar. That is the whole setup. Everything below is when it happens, how to price your fill so you actually get the cheap forward vol, and how to manage the greeks while you hold it.

9.6.2 Why the mispricing survives

An edge this easy to compute should be arbitraged flat, so it is worth seeing where the cheap price comes from before trusting it. Run the variance arithmetic from above on a curve that starts flat at 30 and then takes a hit: the 30-day IV jumps to 38 while the 60-day only moves to 33. The 60-day option's total variance is 33 squared times 60, about 65,300, and the front month now claims 38 squared times 30, about 43,300 of it. What is left for days 31 to 60 is about 22,000, a forward vol near 27. Every quote on the screen went up, and the second month got cheaper.

Nobody set that 27 as a forecast. It is a remainder, the number left over when one end of the curve moves faster than the other. The buyers who pushed the front to 38 wanted protection over the next few weeks; the dealers selling it to them marked the back months more cautiously, because far-dated options trade little and few customers were asking for them. The price of the window between the two was never argued over by anyone. It fell out of the subtraction, and a price that is a by-product of other people's trades can stay wrong for weeks.

The case for owning it rests on the record: across large samples of names, sorting by how rich the front sits against the forward and owning the forward where the gap was widest earned positive returns, as the next section sets out. What keeps traders from closing the gap is mostly the cost of the job. Owning the window means buying thin back-month options, holding a position driven by three greeks at once, and accepting a payoff capped at a fraction of the debit. That is unattractive work for large capital, which leaves the dislocation to whoever is willing to do it. The same thin quotes that keep the crowd away will take the edge from you too if you cross them carelessly, which is why the illiquidity and pricing sections below get as much space as the signal.

9.6.3 The forward factor

The platform compresses this whole comparison into one number, the forward factor. It measures how hot the front-month implied vol is relative to the forward vol embedded between the two expirations, shown as a percentage. At zero, the front is in line with the forward and there's nothing to trade. Positive readings mean the front is trading rich against the forward, which is the backwardation setup this strategy trades: the bigger the number, the bigger the dislocation and the cheaper the forward vol you can own. Negative readings mean the opposite, the front cheap against an expensive forward, and those belong to a different trade, so the screen is filtered to the positive side.

Across a large sample of names, calendars entered when this front-versus-forward reading was most stretched historically delivered higher returns than the rest, and the effect was strongest in liquid securities. Readings around 16 percent mark where that edge became reliable, which is where the screener's thresholds come from: 16 percent for ETFs, whose tight markets let you keep most of the theoretical edge, and 20 percent for single stocks, where the extra 4 points is a buffer for the execution slippage you'll pay in wider markets. The remaining filters are the standard hygiene ones you know from the other screeners: price above 10 dollars to avoid untradeable small caps, and no pending takeovers, because a stock pinned to a deal price has a term structure that means something entirely different.

The Forward Factor Screener shows the reading across four expiry pairs: 20-30, 30-60, 60-90, and 90-180 days. The 30-60 pair is the workhorse, for reasons the structure section covers, but scanning all four tells you where on the curve the dislocation lives. It also carries momentum, skew z-score, and dark pool columns for each name, and those are worth a glance before anything else: a name flagged by the convex lessons as a strong directional candidate is, for reasons that will become obvious in the gamma section, a poor candidate here.

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Once a name is on the shortlist, its own Forward Volatility panel is where you confirm the dislocation is real and worth trading. Three views, shown here for SCO, the name this lesson runs on.

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Read the three together. The bars say the dislocation exists and which expiry pair owns it, the tracker says whether it is genuinely stretched versus this name's past, and the scatter says whether stretched readings on this specific name have historically been worth trading. A high factor with a positive average-at-current is a clean go; a high factor with a negative average, like SCO here, is a signal to be skeptical of and often to pass.

As a real instance, on 2026-07-24 the US Oil Fund (USO) near 137 dollars showed a 30-to-60-day forward factor of about 16 percent: its 30-day implied volatility of roughly 67 percent sat well above the 58 percent the term structure implied for the 30-to-60-day forward window. A fund has no earnings, so the reading was a clean non-event dislocation. That is the setup the calendar is built for, elevated near-dated vol you expect to revert with no scheduled catalyst to justify it.

9.6.4 The evidence: a simple 30-90 backtest

Before the discretionary version, here is the plain mechanical one, because it shows the edge lives in the signal, with no judgment involved. Once a month, rank every liquid ETF by its forward factor and buy calendars on the top tenth.

Universe. Plain ETFs and ETNs: no leveraged, inverse or VIX products. Price above 10 dollars, and at least 50,000 option contracts a day on a 20-day average among the names that get ranked.

Signal. About 95 days before a standard monthly expiry, compute the forward factor between the monthly two expiries earlier (about 30 days out at entry) and that back monthly (about 90 days out), from the at-the-money straddle IVs of both expiries. Rank the ETFs by it, and take the top decile, provided the reading is above zero and the calendar's quoted spread is no more than half its debit.

Trade. Buy the at-the-money call calendar on the next session at mid: sell the front call, buy the back call at the same strike. Hold to the front expiry. The front leg settles at its intrinsic value, and the back leg is sold near the close of that day.

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Three things in that record matter for how you trade it. The edge is in the ranking: the same calendar on the lowest-ranked funds loses money, so the forward factor is doing the work. Costs are the binding constraint: the median entry spread is a sizable share of the debit, and the top decile picks the cheapest calendars, which are often the widest-quoted, so the fill you get decides how much of that 18 percent you keep. And the record is thin: a few trades a month, fewer than 200 over ten years, so any single year can disappoint. On older data, 2007 to 2015, the same rule was also positive, with a Sharpe of about 0.7 on fewer trades.

The mechanical version is a baseline. The rest of this lesson covers the discretionary version: the same signal, read off the screener and the per-name panel, with your own read on why the front is bid, the per-name base rate, and a hard limit on the price you pay.

9.6.5 Non-event backwardation, the clean signal

Some backwardation is mispriced and some is fair. The main refinement to this strategy is telling the two apart.

Earnings backwardation is the efficient kind. A stock reporting in three weeks has elevated front-month IV because the front month contains a known jump. The market has priced that event thousands of times across thousands of names; the earnings lessons were entirely about the small, specific edges that survive inside that pricing. The backwardation itself is a correct answer to a known question, and a forward factor reading generated by it tells you nothing except that earnings exist.

Structural backwardation is the other kind. No scheduled catalyst, yet the front of the curve is bid: hedging flows rolling through a sector, macro nerves, a crowded position being protected, rotation out of a theme. These are the situations from the mispricing section, where fear demands near-term protection and the back of the curve gets left behind. Nobody can point to the date when the uncertainty resolves, which means nobody has efficiently priced its resolution, which means the reversion a long calendar needs is genuinely underpriced. This is where the strategy earns.

The screener's Non-Event toggle does the separation mechanically, the same way it did in the VRP lesson: it drops every name with earnings within seven days in either direction and computes the forward factor from ex-earnings IVs, the implied vols with the earnings event stripped out of both tenors. What survives the toggle is pure structural backwardation. Signals from that filtered list are cleaner and the trades built on them are simpler to manage, because you're never holding a known bomb between your two expiries. Run the screener in Non-Event mode by default; the earnings-contaminated version of this trade exists, and the earnings section below covers when it's defensible, but it's a variant.

The discretionary version works best on single-name stocks and ETFs after a specific shock, picked one at a time instead of through a broad systematic scan. A geopolitical flare-up that spikes an energy or country ETF, a company-specific news item that jolts one stock, a headline that bid the whole front of a sector's curve. The setup to look for is a name where something identifiable pushed near-term vol up and where, on your read, the follow-through is done and price is going to settle. Earnings calendars work with this structure too, but the non-event version is the better choice on names where you have a view that the move was a one-off, because that is exactly the situation the front-month premium overpays for.

9.6.6 The trade: the long calendar

Sell the front-month at-the-money option, around 30 days out, and buy the back-month option at the same strike, 60 to 90 days out; the backtest above uses the monthly two after the front, about 90 days. One short leg, one long leg, same strike, different dates. Call side or put side makes no practical difference at the money; put-call parity from the derivatives lessons guarantees the vol exposure is the same, so use whichever side is quoted tighter. You pay a debit, because the option with more time costs more.

Why this structure is the forward vol trade: the front leg you're short covers days 0 through 30, and the back leg you're long covers days 0 through 60. The exposures over the shared first month largely offset. What you're left holding, net, is the second month, days 31 through 60, the exact window whose volatility the surface just underpriced. Selling the expensive front subsidizes buying the window you actually want. No listed instrument gives you that window directly; the calendar is the cleanest available proxy.

Price one to see the economics. Stock at 100 dollars, the backwardated surface from earlier: front IV 35 percent, back IV 30 percent. Using the at-the-money approximation from the options lessons, an ATM option is worth roughly 0.4 * S * sigma * sqrt(T). The 30-day short leg: 0.4 * 100 * 0.35 * sqrt(30/365), about 4.00 dollars. The 60-day long leg: 0.4 * 100 * 0.30 * sqrt(60/365), about 4.90. Net debit around 0.90, or 90 dollars per spread. The backwardation does real work here: at a flat 30 percent surface the front leg would fetch only about 3.45, and the same spread would cost 1.45. The inverted curve let you sell the front for 4.00 instead, cutting your cost of owning the second month by more than a third. That discount is the forward factor in dollar terms.

The risk profile is the friendliest in the concave family. Maximum loss is the debit, full stop, reached when the underlying runs far from the strike in either direction and both legs converge toward the same value. The debit is the entire risk, whatever margin does and wherever the stock gaps. Maximum profit lands when the underlying sits exactly at the strike on front expiration day: the short leg dies worthless while the long leg, now a 30-day ATM option, retains its full value. Between those extremes the P&L at front expiry traces the tent shape you saw in the structures lessons, peak at the strike, sloping to a capped loss on both wings.

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Defined risk on both sides cuts two ways. It makes sizing honest, since the worst case is a number you paid on day one. But the capped upside means no single trade can carry the book. A calendar that works well might return 30 to 80 percent of the debit; it'll never return 500 percent. The strategy compounds through consistency across many trades, which is why every practical section that follows is obsessed with not leaking small amounts of edge.

One filter applies to every calendar before you take it: the structure has to offer at least a 1.5 to 1 reward-to-risk at front expiry, max profit against the debit, or you pass. The Position Builder shows both numbers the moment you set the strikes, so the check takes seconds. The example above clears it comfortably, 164 of profit against 90 of risk. A calendar that only offers 1.1 to 1 is not worth the execution fight the next sections describe, because the fills will erode a thin payoff to nothing.

9.6.7 The greeks, all three at once

A calendar is a simultaneous position in vega, theta, and gamma. The three don't take turns. Walk through them one at a time, then deal with the fact that they refuse to stay separate.

9.6.7.1 Vega: long, and usefully lopsided

The back-month option has more vega than the front, because vega grows with time to expiry. Long the back, short the front, the position is net long vega: a parallel rise in IV across the curve marks the spread higher. That's the headline exposure, and it's already pleasant, but the asymmetry matters more. Term structure moves are rarely parallel, and the specific non-parallel move this trade is built for, backwardation normalizing, is the best case of all: front IV falls hard while back IV falls little or not at all. Your short leg collapses in value while your long leg holds. Both legs pay you at once. This is what "the forward factor reverting" feels like in P&L terms, and it's the core way the trade wins.

The specific vega risk, the one this structure has and simpler structures don't, is the same move in reverse: backwardation steepening further. Back-month IV slides while the front stays pinned high, your long leg bleeds while the short leg refuses to die, and the spread marks against you even with the stock sitting politely at the strike. The daily forward factor recheck in the management section exists mostly to catch this.

9.6.7.2 Theta: positive at the strike, and only at the strike

Near the strike, the front option decays faster than the back, because ATM time decay accelerates as expiry approaches. Short the fast-decaying leg, long the slow one, you collect the difference every day the stock stays put. This is the carry that pays you while you wait for the vol structure to normalize.

The trap is assuming the carry is unconditional. Move the stock far from the strike and the theta flips sign. Deep out-of-the-money, the front leg is nearly worthless already, so there's almost nothing left for it to decay; the back leg still holds real time value and keeps bleeding it. You are now paying theta on a position that has already taken its gamma loss. Traders who learned "calendars are positive theta" as a slogan discover this the expensive way. The correct statement is that calendars are positive theta near the strike and negative theta away from it, which means the passage of time is only your friend while the underlying cooperates.

9.6.7.3 Gamma: short at the strike

Near the strike the front option has more gamma than the back, short gamma from the front leg dominates, and the position loses on large price moves. That is what the tent shape means in greek language: the peak is where you profit, and every step away from it costs money at an accelerating rate. Nothing about this is exotic; it's the standard price of collecting theta, the same tradeoff the theta-gamma lesson called the defining tension of every options position.

What makes it bite harder here than in a condor or short straddle is the context of the signal. You're entering this trade precisely when the market is nervous enough to invert the term structure. The dislocation you're buying and the turbulence that punishes short gamma have the same cause. The next section takes that up.

9.6.7.4 The interaction problem

The three exposures produce combined outcomes that no single greek predicts. A stock that gaps 4 percent away from the strike while the whole vol curve reprices lower, three days into the trade: gamma has hurt you, the vega effect is mixed because the drop was front-loaded, and theta has barely had time to accrue anything. Is the spread up or down? You genuinely can't answer from the greeks in your head; it depends on the sizes of the moves and the new shape of the curve. The honest workflow is to stop reasoning greek by greek and reprice the position: current IVs into the calculator, current forward factor, current spread value. The greeks explain what happened. They're unreliable at predicting the net of three simultaneous effects, and traders who insist on narrating calendars through a single greek at a time consistently mismanage them.

9.6.8 The backwardation paradox

The long calendar needs the underlying to stay near the strike: negative gamma demands a quiet path. But the entry signal is backwardation, and backwardation exists because the market expects the near term to be loud. The condition that creates the trade forecasts the environment that kills it. You're buying a structure that wants calm, in names the market has specifically flagged as unlikely to stay calm.

This explains the most common experience of new forward vol traders: the screener said the edge was large, the trade got run over by a 6 percent move in week one, and the conclusion drawn was that the strategy is broken. The strategy is working, and the resolution is the same statistical answer the framework lesson gave for every premium strategy, applied with more force here than anywhere else. The documented edge is an aggregate result: portfolios of many calendars across many names, sorted by the forward factor, held through the window. The market's near-term fear is directionally right often enough that any individual calendar in a backwardated name is close to a coin flip on path. But the fear is overpriced on average, front IV falls back toward the forward more than it earns its premium, and across dozens of positions the average trade collects that overpricing. The paradox is real at the level of one trade and dissolves at the level of the book.

Two practical consequences follow. Diversification here is the mechanism by which the edge exists for you at all. One calendar is a gamble on one stock's path. Twenty calendars across unrelated names, each backwardated for its own local reason, is a portfolio whose paths largely cancel while the shared vol-overpricing accrues. And expect the live experience to feel worse than the statistics look. Individual positions will get blown through the tent regularly. The strategy's returns come from the ones that don't, minus the capped losses from the ones that do, and only the average is smooth.

9.6.9 Illiquidity

The academic version of this trade and the executable version are separated by the back-month bid-ask spread, and that gap is large. Back-month options trade thin even on liquid underlyings, and the spread absorbs most of the theoretical edge. On most candidate names it is the largest single factor in whether the strategy is profitable at all.

Put numbers on it against the worked example. The calendar cost 0.90 in debit at mid prices. A typical back-month quote might be 0.20 to 0.50 wide, and crossing even 0.20 of it pays away more than a fifth of the trade's entire cost, on one leg, before the position exists. The forward factor on the screener was computed from mids; the forward factor you actually own is computed from your fill, and 0.20 of slippage on a 0.90 spread can pull a 20 percent reading below threshold entirely. Unless you fight for the price, the trade you execute is a worse one than the screener showed you.

Thin markets bring two more problems. Stale quotes: back-month options can sit unquoted or lazily quoted for long stretches, so the screen price is an opening bid in a negotiation. Treat every screener value as indicative and reprice against live quotes before committing. Exit friction: everything hard about entering repeats when leaving, with less patience available if you are exiting because something went wrong. The trade plan below defaults to holding until front expiry partly for this reason; frequent early exits in these markets give the edge back through repeated spread crossings.

The last illiquidity effect is mark to market, and it is worth understanding in advance because it will rattle you otherwise. Your broker revalues the position continuously off current bids and asks, which is what mark to market means, and on wide, thin back-month quotes those marks are unreliable and usually too pessimistic. The surprise most traders hit is that the position shows a loss almost the moment they get filled. That loss is the mark: you paid to cross some of the spread to get in, and then each leg is marked independently against jumpy quotes, so the two marks rarely line up with what you actually paid, and the combined P&L can swing wildly minute to minute right after entry even though nothing has happened. For the same reason, a sound calendar can sit at an apparent loss of a fifth to a third of its debit for weeks, because the back-month leg is valued close to its bid. That gap mostly closes on its own in the last days of the front leg: once the short option has little time value left, it quotes narrowly, the pair gets valued closer to what it would actually fetch, and positions that looked hurt for most of their life often finish near plan. Judge the position against the calculator's value and the current forward factor, and never panic-close on the broker's mark, because that pays the spread twice to lock in a loss that was partly fictional.

9.6.10 Pricing the entry: the calculator and the debit

Because the fill decides the trade, entry runs through the Forward Factor calculator, with a specific workflow. Pull the live IVs for both expiries from your broker's chain and enter them, and the calculator prints the forward factor along with the optimal debit and the forward vol. Then work the debit slider: start it at the natural bid-side price of the spread and move it up toward the ask, watching the forward factor fall as the debit rises. Every cent of extra debit is forward vol bought at a worse level.

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The rule: keep the forward factor at your fill above 15 percent, and ideally above 20 percent. Somewhere between the bid and the ask is the maximum debit at which the reading still clears that bar, and that debit is your limit price, a hard one. If realistic fill levels drag the reading below 15 percent, the edge does not exist at any price you can actually trade, so skip it. The screener found a theoretical trade; the calculator decides whether an executable one exists.

While you are there, slide the debit up to the point where the reading hits zero. That debit is the price at which the front and forward are fairly matched, and the distance between it and your fill is a decent gauge of how much room the trade has. A fill far below the zero-reading debit means you bought the forward window at a deep discount; a fill crowding up against it means the margin for error is thin even if the threshold is technically met.

Then execute the way the back month demands. Always order the calendar as a single spread, never as two legs; legging risks a fill on one side and a runaway market on the other, and spread orders let market makers price the package. Start your limit near the bid side and improve it one or two ticks at a time, minutes apart, letting it sit. Do not trade the first or last fifteen minutes of the session, when spreads are at their widest. In thin markets you are either the patient party or the paying party. If the market will not meet the price at which the trade clears threshold, cancel and move on. The screener produces candidates every week, and overpaying for a good one stops it being good.

9.6.11 Earnings inside the window

Trading single stocks forces one more decision the ETF version never faces: where earnings fall relative to your two expiries. Three configurations, three different trades.

Front expiry before earnings: clean. The whole calendar lives and dies before the event; close on front expiration day as planned and the print never touches you. Earnings after both expiries: also clean, for the same reason. The dangerous configuration is the middle one, earnings landing between the front and back expiries. On front expiration you are left long a back-month option that still contains the earnings premium, and the plan to close that day means selling that premium at whatever the market then thinks of it. Held longer, you are running the previous lessons' event trade whether you meant to or not. Only proceed with this configuration if the name independently qualifies under the earnings lessons' criteria: a positive short-vol backtest on its earnings tab, implied moves that historically exceed realized. Otherwise you are stapling an unexamined event bet onto a forward vol trade, and the combined position follows neither playbook.

The cleaner policy, and the recommended default, is the one already stated: run the screener in Non-Event mode and let the toggle delete the whole decision. Structural backwardation in names with no imminent earnings gives you the forward factor edge in its pure form. Add the earnings variants only after the base strategy is running smoothly, if at all.

9.6.12 Sizing, management, and the basket

Sizing is the one genuinely easy part, because this is a debit strategy and the debit is the max loss. Risk per trade equals debit paid, and 1 to 2 percent of the account per position is the range. Because nothing about a losing calendar can exceed its debit, no margin spiral, no gap through a strike into unlimited territory, you can run more simultaneous positions at full allocation than any short-premium strategy allows, and the strategy needs that breadth anyway for the reasons the paradox section gave.

On a single name, start by risking about 1 percent in the debit. If the market keeps moving after you are in and the forward factor is still high, add a second calendar at the new at-the-money strike. That doubles your risk in the name to roughly 2 percent, but it also re-centers the tent on where price now is and gives the combined position much more room to pay. Never go beyond two calendars on one name, though. Past that, you are concentrating into a single underlying's path instead of running a diversified basket of small bets, which is exactly the risk the whole strategy is built to spread out.

The default exit is set by the calendar: the session before the front leg's last trading day, sent as one order for the pair, the same way you entered. One more day in the trade adds almost nothing, since the window you paid for has played out by then, and the final session brings pin risk on the short strike plus the odd quoting that comes with settlement. Leaving a day early also means trading while the short leg still has a live two-sided market, and an exit that late in its life costs far less in spread than unwinding the pair halfway through.

Two conditions justify leaving early. The forward factor reverting to around zero means the mispricing you bought has fully corrected; if the position shows a solid profit, there is nothing left to be paid for waiting, and remaining in the trade is holding path risk for free. And if the backwardation traced to a specific identifiable pressure that has now visibly resolved, the thesis is complete regardless of what the reading says today. Both are take-the-money exits. The structure needs no stop loss; the debit already is one.

A big move away from the strike that holds leaves the spread worth little more than its floor, and the loss already taken is the most it can grow to. The decision from there turns on the forward factor recomputed at the new price. Still above threshold means the dislocation you bought is intact and only the strike is wrong, so a second calendar at the new at-the-money strike puts the exposure back where price is; that is the add from the sizing section, and two calendars per name is the limit. A small stock position sized to the spread's net delta is the alternative when you want the exposure moved without adding calendar risk. A reading that has dropped toward zero means the reason for the trade is gone: leave the first spread to run off, because what remains of it is worth less than the spread you would pay to sell it.

Daily maintenance is one habit: recompute the forward factor for each open position from live IVs, once a day, in the calculator. It is the most reliable health check this trade has. The broker P&L lies for the reasons the illiquidity section gave, and the greeks mislead one at a time. The current reading answers the question that matters: does the mispricing you bought still exist? Elevated reading, thesis intact, hold. Reading at zero with profit on the screen, take it.

The book-level rules follow from everything above. This strategy is only its statistics, and the statistics need a sample: build toward a basket of qualifying calendars across genuinely different underlyings, each backwardated for its own reason, rather than expressing the idea through two or three favorites. Cap exposure per name, including re-centering adds, and cap it per sector, because backwardation driven by a sector-wide flow will hit every name in that sector with the same correlated path risk that diversification was supposed to remove. The target is the average forward factor harvested across many uncorrelated tents, which is the version of this trade the evidence actually supports.

9.6.13 Step by step

1. Shortlist. Open the Forward Factor screener in Non-Event mode, ETFs first, and sort by the forward factor. Readings above 16 percent on ETFs and 20 percent on stocks make the list; the backtest's top decile sits in the same territory.
2. Why is the front bid? For each name, find the reason: a one-off headline, a broken trend, a sector-wide hedge. Keep the ones where, in your read, the follow-through is done. Pass on names the directional screens flag as strong trends, because a trend running through the strike is what kills a calendar.
3. Check the name. On the symbol's Forward Volatility panel, confirm which expiry pair carries the dislocation, that today's reading is stretched against the name's own year, and that the FF vs Forward Return scatter shows a positive average at the current reading.
4. Price it. Enter live IVs in the Forward Factor calculator and find the highest debit at which the reading at your fill stays above 15 percent. That is your limit.
5. Enter. Order the calendar as one spread at the money, front around 30 days and back two monthlies later, starting near the bid and improving a tick at a time. No fill at your limit, no trade.
6. Size. About 1 percent of the account in debit per calendar, at most two calendars per name, and a cap per sector.
7. Manage. Recompute the forward factor once a day. Take profit when it has reverted toward zero, and otherwise close the pair as one order on the session before the front expiry.

Those five strategies (the volatility risk premium, the weekend strangle, the earnings crush, the pre-earnings straddle and forward vol) all trade the volatility surface itself, selling its overpriced fear or buying its underpriced ramps in different corners, and apart from the post-earnings drift trade none of them depends on calling direction. Part 10 turns to the trades that do: directional options, futures and crypto, each starting from what the trend and the crowd in a market are doing, and the lesson that assembles both shapes into one book.