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  1. Yesterday
  2. By Alex Liberfield What it does not produce on its own is a complete picture of the risk system those structures sit inside. A trader can know how to construct dozens of strategies and still be missing large parts of that system. The position gets entered correctly, the payoff diagram is accurate, and the trouble shows up later, when volatility shifts, the underlying gaps, liquidity thins out, margin requirements move, or several individually sensible trades start behaving like one concentrated bet. Knowing strategies means understanding how trades are built. Understanding derivatives means understanding how they behave once they are on. That distinction sits at the center of the body of knowledge behind the [Certified Futures and Options Analyst (CFOA) certification, issued by the International Council for Derivative Trading. The CFOA framework treats futures, options, volatility, leverage, margin and portfolio risk as one connected discipline rather than as separate chapters, and for an options trader the practical consequences of that view start in a few specific places. The expiration diagram is only the final frame A payoff diagram shows what a position is worth at expiration, assuming it is still open and every obligation has been met. It says close to nothing about the route taken to get there, which is where most of the actual trading happens. Take a calendar spread. At expiration the payoff is easy enough to describe. Before expiration the position is driven by the relationship between the implied volatility of two maturities, by movement in the underlying, by the passage of time and by the shape of the volatility surface. A trader who files the calendar under "long vega" has compressed away most of what matters. The near-dated and longer-dated options do not respond to volatility changes in the same way or by the same amount. The spread can benefit from a rise in longer-dated implied volatility and still lose if the front month richens relative to the back, or if the underlying travels too far from the strike. The vega itself is not a fixed quantity either, since it moves as time passes and as the underlying repositions relative to the structure. Iron condors present the same problem from a different angle. The maximum loss is defined, which is the appeal, but the path toward that loss produces genuinely difficult decisions. A volatility expansion can damage the position well before the underlying approaches either short strike. One side can turn sharply directional while the other decays into nothing. Closing or rolling a tested side reduces one exposure and enlarges another, and the decision has to be made with incomplete information about what happens next. A trader reading only the expiration graph sees a bounded trade with known edges. A trader reading the whole position sees a shifting combination of delta, gamma, vega, theta, skew exposure, liquidity and execution risk, most of which will look different in a week. The Greeks have to be read as a portfolio Most traders learn the Greeks one at a time. Delta measures directional sensitivity, gamma the rate at which delta changes, vega the sensitivity to implied volatility, theta the effect of time. The definitions are the easy part. The harder question is how those exposures combine across everything held at once. A portfolio can contain trades that look entirely unrelated and express almost the same risk. A calendar in one index, an iron condor in another and a short strangle in a liquid single name look diversified by instrument and by structure. All three can be materially short convexity, or dependent on the same reasonably calm volatility environment, in which case the diversification is cosmetic. The questions worth asking are aggregate ones. What is the portfolio's net delta, and how fast does that delta change after a large move? Is the book long or short volatility, and at which maturities? How concentrated is the exposure around particular strikes? What does the whole position look like after a five, ten or fifteen percent move in the market? That last question matters because displayed Greeks are local estimates. They describe the portfolio in the immediate neighborhood of the current price, under current assumptions, and they are not a description of what the portfolio becomes once the market has moved somewhere else. A position carrying modest delta today can be strongly directional after a large move purely through gamma. A book that looks well hedged can lose that balance in a session. A small net vega figure can sit on top of large offsetting exposures across maturities, strikes or underlyings, all of which reappear the moment those exposures stop offsetting. Which is why serious risk work runs scenarios rather than reading a current Greek summary and stopping there. Implied volatility is not a single number Traders often discuss implied volatility as though an underlying has one volatility level. It has a surface. Different strikes trade at different implied volatilities, different expirations carry different expectations and different supply and demand conditions, and the shape of the surface can change while the headline number sits still. This matters because most multi-leg trades contain relative volatility exposure rather than outright exposure. A vertical spread depends partly on the volatility relationship between two strikes. A calendar depends on the relationship between two maturities. A diagonal carries both. A ratio spread can be extremely sensitive to skew. So a trader who has concluded that volatility is going up has not finished the analysis. Which volatility? Near-dated or long-dated, at the money or downside skew, before or after a known event, across the whole surface or in one segment of it? A position can be long vega in aggregate and still lose money during a rise in a broad volatility index, if the part of the surface the structure actually depends on moves differently from the part the index is tracking. Earnings and scheduled macro events are where this gets expensive. Front-month implied volatility frequently collapses immediately after the event while longer-dated volatility barely moves. A calendar entered into that setup can be an excellent trade, and whether it works depends on relative repricing across the two maturities rather than on whether volatility broadly went up or down. Complete options analysis needs term structure, skew and relative value, not a directional opinion about implied volatility. Liquidity is part of the strategy Plenty of structures look excellent at the midpoint. Considerably fewer survive realistic transaction costs. A four-leg trade can show a favorable theoretical return that wide markets erode substantially before anything has happened, and the same friction applies again on every adjustment and once more on the exit. Liquidity is also not a constant. A spread that fills easily in normal conditions can become difficult to unwind during a sharp move. Bid-ask spreads widen, quoted size disappears, complex orders fill badly or not at all, and the precise adjustment that looked available at entry turns out to be unavailable at any sensible price. An adjustment only exists if the market will let you execute it, which is a principle most adjustment plans quietly assume away. Before entering, the useful questions are about each leg individually: how liquid is it, what does closing the whole structure realistically cost, and is there one option here that becomes very hard to trade if the underlying moves against the position? A structure should be judged on the payoff that can actually be captured after spreads, commissions, slippage and imperfect fills. Assignment is not a footnote American-style options can be exercised early. Most traders know this and still treat assignment as an anomaly rather than as an ordinary feature of the contract they have sold. It becomes live when a short option is deep in the money, carries little remaining extrinsic value, or approaches an ex-dividend date. A covered call writer may regard assignment as harmless since the shares are already there, and early exercise can still change tax timing, remove an expected dividend and close the position earlier than planned. Inside a multi-leg spread the consequences are larger. Assignment creates a stock position and materially different overnight exposure, and the long leg does not exercise in sympathy. The trader can arrive the next morning holding something whose directional profile and capital requirement bear no resemblance to the spread that was entered. Expiration adds its own operational risk, since options sitting close to the money can produce unexpected exercise outcomes, particularly when the underlying moves after the cash market closes. Understanding options includes understanding exercise procedures, assignment mechanics, settlement and what it costs operationally to hold positions into expiration. These are part of strategy selection rather than a separate administrative concern. Margin changes the decision, not just the sizing Margin tends to get treated as a calculation performed once, before the trade goes on. In practice it moves. Requirements change as the underlying moves, as volatility rises and as the broker revises its own risk assumptions. Portfolio margin produces efficient capital treatment in ordinary conditions and can increase requirements quickly under stress, which is precisely when the trader has the least flexibility. Adjustments move margin in ways that are not always intuitive. Closing a profitable leg can remove an offset that was reducing the requirement somewhere else. Rolling a short option can increase notional exposure even though the risk feels like it has been pushed further away. Several spreads combined can produce a capital profile substantially worse than the sum of the individual trades suggested. The reason this matters is that margin pressure forces action at the worst available moment. A position with an acceptable theoretical maximum loss can still be unsuitable if the interim capital requirement is more than the account can carry, because the real risk includes being closed out before the thesis has had time to resolve. Capital planning belongs in stress scenarios rather than in the broker's opening requirement. Adjustments are not free repairs Adjustments get discussed as though they reduce risk at no cost. Every adjustment is another trade, and it changes the portfolio's Greeks, transaction costs, margin requirement and probability distribution along with it. It can reduce immediate delta while adding short gamma. It can collect additional credit while increasing total risk. It can extend the position into another expiration and convert a short-term view into a longer commitment nobody consciously chose to make. Asking whether a trade can be adjusted is not a useful question, since almost any position can be changed somehow. The questions worth asking are what exposure the adjustment is meant to reduce, what new exposure it introduces, whether the original thesis still holds, whether the adjustment beats closing the position and putting the capital somewhere else, and whether the trader would enter the resulting position as a fresh trade today. That last one tends to be the most revealing. Traders defend adjusted positions on the strength of the trade's history rather than the quality of what is left, and the market has no interest in the original entry price or how much credit has been collected along the way. Whatever remains after an adjustment has to stand on its own. Futures belong in a complete options skill set An options trader does not need to become a futures specialist, though futures knowledge belongs inside a complete derivatives education, and the gap shows up quickly in traders who skipped it. Futures are used for directional exposure, for hedging and for portfolio management, and they offer an efficient way to adjust delta without disturbing the options structure itself. They also sit underneath options on futures, which bring contract specifications, settlement conventions and expiration relationships that differ from equity options in ways that catch people out. Working with them sharpens a trader's understanding of leverage and term structure generally. Index futures, energy contracts, interest rate futures and agricultural contracts do not behave alike. Multipliers, tick values, delivery terms, trading hours and margin all differ, and a futures price may reflect financing, storage, dividends, convenience yield or straightforward supply and demand expectations depending on what is being traded. Options on futures add a further layer, since the option may expire into a futures position rather than into shares or cash, and the option's expiration can sit apart from the expiration of the underlying contract. The trader needs to know exactly what is being controlled, when it expires and what arrives if it is exercised. From strategy knowledge to derivatives competence Strategy education is not the problem. Structures are how most traders first learn to express a view, define risk and read an option payoff, and there is no obvious substitute for that as a starting point. The difficulty is when the structure becomes the destination. A complete derivatives skill set runs across instrument mechanics, pricing and volatility, individual and portfolio Greeks, leverage and margin, liquidity and execution, exercise and assignment and settlement, adjustment analysis, futures and options on futures, and portfolio construction and stress testing. The CFOA body of knowledge brings those together on the premise that derivatives competence should be assessed as one integrated discipline, since none of them can be managed well in isolation. The premise is worth something even to traders with no intention of sitting the exam. Markets do not separate volatility from liquidity, margin from leverage, or strategy construction from portfolio exposure. Those risks turn up together, usually in the same week, and they are best learned the same way. Alex Liberfield is Managing Partner of Liberfield Capital and works across investment strategy, derivatives and portfolio risk management.
  3. Last week
  4. Hey @equus. Sorry for the delayed response. I'm using thinkorswim, and I didn't notice any changes in my fills. Maybe the professional designation affects the brokers more than the traders. I know that some brokers, tastytrade for example, will close accounts of clients that meet the professional designation.
  5. @Romuald looks like we have a similar issue in CSCO ... let's see if it goes "on sale" next week
  6. Update — at the open Markets opened, and here's AMD live: the strangle re-priced from $38.69 to $37.79, AMD gapped up to $512, and entry IV eased from ~87% to 84.6%. Marginally cheaper — but the verdict didn't budge: still "Rich entry," still richer than 100% of past cycles, still flagged for crush risk. On the charts, the live-value diamonds sit at the very top of every panel — value, relative value, and IV. Translation: the setup got a little bit cheaper, not cheap. It never dropped into its normal P25–P75 band, so the disciplined read is unchanged. Personnally I would pass, and let the backtest stay a backtest for this cycle. That's the tool doing its job: a 95% historical win rate is only worth having if you don't overpay to get in, from my POV. Romuald - OptionBench
  7. @Romuald these revisions are a great step forward keep them coming
  8. From a Green Tile to a Trade Decision: Inside OptionBench's Pre-Earnings Workflow Most screeners hand you a list. OptionBench hands you a decision — and then argues with you about it. Here's how that works, walking through a real setup on AMD. Start on the map The Today page opens on an Opportunity Map: where you can see one tile per backtested pre-earnings setup for the current week (or week ahead it it is the week-e,d). Each tile carries the ticker, the entry day, and two numbers: historical win rate and average return. The colour encodes the win rate: the darker the green, the more often the setup has worked across past earnings cycles. A "Trades of the week" toggle narrows the grid to the days just ahead, and the caption never lets you forget the key caveat: backtested, not realized. The darkest tile in this view is AMD — Mon, Jul 20 — Win 95% · +22.7%. Tempting. So we click it. One click into the analysis Clicking a tile doesn't dump you at the top of a table, it drops you straight onto that exact row in the scanner, ticker already in focus. For AMD, the setup is a long strangle entered eleven business days before the Aug 4 report and exited the latest about a week after, with a +10% take-profit. The top strip is the historical, backtested edge: a 95% win rate (19 of 20 cycles), a +22.7% average return, a +18.3% median, and a typical earnings move of ±7.2% versus ±4.4% implied today. On the backtest alone, this looks like one of the strongest setups on the board. The part that keeps you honest Here's where OptionBench stops cheerleading. The right-hand verdict reads "Rich entry — RV richer than 100% of past cycles here," and the cheapness panel flags elevated IV/RV at entry — crush risk, edge reduced. In plain terms: the strangle is currently more expensive than at any comparable point in its own history, so buying it now would mean overpaying for volatility, exactly how a great backtest quietly turns into a mediocre fill. One more detail to notice: the badge says "Last close · EOD." Markets are closed right now — it's Monday morning (in France), and the NYSE opens in about six hours — so every live number on the page is the last end-of-day snapshot, not a tradeable quote. The rich-entry read is real, but it's a photograph from Friday's close. The right move isn't to trade it. It's to wait for the open and see whether the morning re-prices the strangle cheaper, or confirms it's still rich. Reading the cycle charts To judge that, we drop into the cycle charts (next Figure). Three stacked panels track the trade from T-11 to T-1 (business days before earnings): the strangle's dollar value, its relative value (RV% — "is this trade expensive?"), and its implied volatility. Every faint line is one past earnings cycle; the bold black line is the average; green dots mark the cycles that hit the +10% target, red dots the ones that didn't. It's a lot to take in at once — so a single click ("unselect all," keep Average) strips it down to the essentials: the average path, the outcome dots, and a shaded band. What the shaded band means That band is the P25–P75 range — the middle 50% of past cycles at each point in the run-up. At every T-x day, we take all the historical cycles and shade from the 25th percentile up to the 75th; the dotted line running through it is the median (P50). Think of it as the setup's normal range. When today's live reading sits inside the band, the trade is priced about as usual; below it, cheaper than history; above it, richer than history. To be continued — at the open So AMD is a beautiful backtest with a currently rich entry, frozen at Friday's close. The interesting moment is only a few hours away: when the market opens, we'll watch whether the strangle cheapens back down into its normal band — and only then decide whether it's worth putting on. That's the whole idea. The map surfaces the opportunity; the analysis tells you whether today is a good day to take it. The discipline is in the gap between the two. See you at the open. Romuald - OptionBench Backtested results are historical and are not realized returns. Nothing here is investment advice. Figures: (1) Today — Opportunity Map · (2) AMD analysis header · (3) Full cycle charts · (4) Simplified view with the P25–P75 band.
  9. Earlier
  10. Unlocking EarningsStudy's Daily Screener The Daily Screener — one of EarningsStudy's most-used tools, and until now reserved for SO Contributors — is being opened up to all Subscribers, free of charge. If you've been curious what the Contributors have been working from each morning, this is it, and now it's yours too. What the Daily Screener does Every trading day, the Daily Screener surfaces the names with earnings on the immediate horizon and lays out how the market is pricing them across EarningsStudy's strategy models — straddles, calendars, strangles, iron flies, double diagonals, long options, and call debit spreads,... — in a single, sortable view. Instead of hunting name by name, you get the day's opportunity set on one screen, ready before the bell. A couple of things worth knowing It's a daily tool — check it daily. The screen is built around what's reporting now. It refreshes each trading day, so its value is in the habit: a quick morning look to see which setups are live before the window closes. Yesterday's screen isn't today's. It's built for comparison, not just a list. Each candidate is shown with strategy-level context and historical win-rate framing, so you're weighing setups against one another on their merits rather than reacting to a single number. If a name trades weekly options, you can fold those into the view as well. It's a research tool, not a signal service. The Daily Screener is there to sharpen your own judgment and point you toward setups worth a closer look — not to tell you what to trade. As always, do your own diligence before putting on any position. How to access it Already using EarningsStudy? The Daily Screener is now in your sidebar — just sign in and open it. Not signed up yet? Register at https://earningsstudy.com/ with the same email you use on SteadyOptions, and you'll have it alongside the rest of the core platform. This is exactly the kind of thing we set out to do with this partnership: take the tools that were once behind an extra tier and put them in the hands of the whole community. More to come. — The SteadyOptions Team
  11. @Romuald no rush I'm sure there are other more pressing issues that need your attention ... good luck with the maintenance over the weekend
  12. Quick heads-up for anyone using or checking out OptionBench this weekend: app.optionbench.com will be in scheduled maintenance from this Friday 10th of July afternoon (France Time) through the weekend, back to normal Monday. We're doing a planned infrastructure migration on the backend — consolidating the data layer so the scanners run faster and cleaner as we grow. Nothing's broken; we'd just rather take it offline than serve half-migrated data. If you hit a maintenance page over the weekend, that's why — everything will be back Monday. If you were mid-analysis on something and want a hand once we're back up, just ping me and I'll help you pick it back up. Thanks for your patience — doing the plumbing properly now so the tool holds up as more of you come on board. — Romuald, OptionBench.com
  13. @Romuald thanks for sharing those thoughts .... I did consider both of them before jumping in .... the richness factor did concern me somewhat and I realize there may be a reduced edge due to that .... I also looked at the other cycles and well not as good as 8 cycles they were all still acceptable in my books as an aside is there anyway to pick more than one strategy in the scanner .. . it would be nice to be able to choose straddles and strangles together as they are closely related ... thanks for the words of thanks it has been a great ride thus far in being able to play a small role in the development of OB
  14. Hey Dave, first of all, thanks a lot for putting OptionBench through its paces and sharing your trades on Discord, it genuinely helps during the beta. On this VZ one, a couple of things I'd flag for how I read these cards — not a verdict on your trade, just the lens I use, but it is very personal. The 100% win rate is on 8 cycles. VZ only reports earnings four times a year, so 8 cycles is about two years of history — a small sample. A 100% rate on 8 is statistically fragile: the true rate underneath could be anywhere from ~65% to ~95%, you just can't tell from 8 observations. So I treat the headline number as "promising, low confidence" rather than a strong edge, and I lean harder on cycle counts of 20+ where the win rate actually stabilises. But, again, this is my POV. The other thing I personally always check before entering is the live banner — the "richer/cheaper than X% of past cycles" read. The historical win rate tells you the setup worked before; the live cheapness tells you whether you're entering at a good price right now. A great historical setup entered when the premium is rich can lose the edge to a vol crush even when the direction's right. So I wait to see that read before pulling the trigger. None of this means it won't work out — just how I'd weigh it. Really appreciate you testing and posting; keep them coming, this back-and-forth is exactly what makes the tool better :).
  15. I've been exploring how AI can predict market changes. The potential of combining it with options trading looks promising for improving strategies by identifying trends early. What do others think?
  16. For an active trader, those differences can add up to thousands of dollars a year. This article breaks down what actually separates the two, using concrete dollar examples, and gives you a simple framework for choosing the right instrument for your account and your strategy. Underlying Asset Differences: Index vs. ETF Options SPX is the S&P 500 index itself. It is a statistical construct, not a security — there are no shares to buy or sell. You can only trade options (and futures) on it, and those options settle in cash. SPY is the SPDR S&P 500 ETF. It holds the actual 500 stocks, trades like any share, and its options settle by delivering shares. That single distinction — cash settlement versus physical share delivery — cascades into almost every practical difference that follows: exercise style, assignment risk, contract size, and even how the two are taxed. SPX vs SPY Option Contract Sizes and Capital Requirements SPY trades at about one-tenth the level of the SPX index. With SPX near 7,500 and SPY near $750, the notional exposure of each contract looks like this: SPX SPY Approx. level 7,500 $750 Multiplier $100 100 shares Notional per contract ~$750,000 ~$75,000 One SPX contract carries roughly the same market exposure as ten SPY contracts. For a trader putting on size, that means fewer contracts, fewer commissions, and less execution complexity. For a smaller account, it means SPX can be too coarse — you may only be able to hold one or two contracts where ten SPY contracts would let you scale in and out with precision. Settlement and exercise: European vs American SPX options are European-style. They can only be exercised at expiration, and they settle in cash. If you hold a long 5,900 call and SPX settles at 5,910, you simply receive $1,000 (10 points × the $100 multiplier). No shares ever change hands. SPY options are American-style. They can be exercised at any point before expiration, and in-the-money contracts result in shares being delivered or called away. For anyone trading multi-leg positions, this is bigger than it sounds. If you are short the body of an SPX iron condor or butterfly and the index blows through your strike intraday, nobody can exercise against you early — the position stays intact until expiration. With SPY, a short leg that goes deep in the money (especially around an ex-dividend date) can be assigned early, leaving you with an unwanted 100-share-per-contract stock position and a hedge that no longer lines up. Cash settlement removes that failure mode entirely. Section 1256 Tax Advantages of SPX Options This is where SPX earns its keep for active traders. SPX options are taxed more favorably than SPY options because they qualify as Section 1256 contracts. This subjects them to a 60% long-term and 40% short-term capital gains tax split, whereas SPY options are taxed at 100% short-term capital gains if held under a year. Even a 0DTE trade opened and closed in the same afternoon gets 60/40 treatment. Section 1256 positions are also marked to market at year-end, and wash-sale rules do not apply. SPY options are taxed like ordinary equity options. A trade held under a year is taxed 100% at your short-term (ordinary income) rate, and wash-sale rules do apply. Consider a trader with $20,000 of net options profit in a year, in a 32% marginal bracket with a 15% long-term rate: SPY (all short-term): $20,000 × 32% = $6,400 in tax. SPX (60/40): ($12,000 × 15%) + ($8,000 × 32%) = $1,800 + $2,560 = $4,360 in tax. Same trades, same market, roughly $2,000 saved — purely from the instrument you chose. For a high-volume premium seller, that gap compounds year after year. Tax treatment of options is complex and depends on your situation. Section 1256 generally applies to broad-based index options, but confirms applicability with a tax professional. Dividends: a wrinkle SPY carries and SPX doesn't SPY pays a quarterly dividend. Its price drops on the ex-dividend date, and market makers price that expected drop into the options — call premium tends to sag and put premium firms up ahead of the event. Deep in-the-money SPY calls also face elevated early-assignment risk right before the ex-dividend date, as holders exercise to capture the payout. SPX, being an index, pays no dividend and has no ex-dividend date. One less variable to track. Liquidity and spreads: it depends how you measure SPY options are the most actively traded options in the world. In absolute dollar terms they carry the tightest bid-ask spreads and offer the most granular strike selection, which suits smaller accounts and precise position sizing. SPX spreads look wider in dollar terms, but remember one SPX contract equals about ten SPY contracts — so on an apples-to-apples exposure basis the relative cost is competitive, and you are crossing the spread on one contract instead of ten. At-the-money SPX and SPXW strikes trade with deep liquidity and penny-wide markets during active sessions. A quick word on the ticker: SPX vs SPXW In your option chain you will see both SPX and SPXW. SPX (the classic monthly) is AM-settled — it stops trading Thursday and settles off Friday's opening prices, which introduces some overnight gap risk on the final day. SPXW covers the weekly and daily expirations and is PM-settled off the 4:00 PM close, so you can trade it right up to the bell. If you are trading 0DTE, you are in the SPXW chain. Both get identical Section 1256 tax treatment. XSP Options: The Mini-SPX Alternative to SPY XSP is the Mini-SPX option — it trades at one-tenth of the SPX level (comparable in size to SPY) but keeps SPX's cash settlement, European exercise, and Section 1256 tax treatment. In theory it is the best of both worlds for a smaller account that still wants the tax and assignment advantages. The catch is liquidity: XSP volume is far thinner than either SPX or SPY, so spreads are wider and fills are harder. Worth knowing about, worth checking the chain before you commit. How SPX and SPY Options Behave During a Flash Crash Everything above is theory until you watch it play out in a live position. On Friday, June 26, 2026 — during a jittery week in which JPMorgan (read more on that) had publicly warned of flash-crash risk in crowded AI names — the S&P 500 delivered a textbook demonstration of why the SPX-vs-SPY distinction matters. Right at the 4:00 PM close, a wave of sell orders hit thin liquidity. On a standard 1-minute line chart, nothing looked wrong: the line simply connects close-to-close, and the close held around 731 on SPY. But pull up the 1-minute candlestick chart for that final bar and the story changes completely — a tiny body around 731 with an enormous lower wick stabbing all the way down to 716.58, then recovering, all within a single closing minute. The volume bar on that candle dwarfed everything around it. That's the signature of a flash crash: a momentary liquidity air-pocket where a flood of orders blows through a thin book before buyers step back in and the close resolves. This is a closing-bell liquidity cascade — arguably the single most dangerous moment for this kind of event. At 4:00 PM, market-on-close imbalance orders execute, index rebalancing flows hit, and options-expiration settlement pressure peaks all at once. A large sell imbalance in that window can momentarily overwhelm the order book before the closing auction resolves. Here's where it gets instructive. That 716.58 print was SPY's worst individual tick. But the SPX cash index — pulled from live data — only printed down to about 7,336 in the same minute. At the roughly 10:1 ratio, SPY's 716.58 implies an SPX near 7,232, yet the actual index bottomed 100 points higher. Why the gap? During a flash crash, the ETF and the index decouple. SPY is a single instrument, so a market-sell order blows straight through its book and prints an extreme low. The SPX index, by contrast, is an average of all 500 constituents — and not every stock crashes to the same degree in the same instant. The index is "cushioned" by its own construction. The true dislocation sat somewhere between the two readings, with SPY overshooting to the downside. Now apply this to two hypothetical traders, each holding the same S&P 500 put spread going into that close: The SPY trader watched the ETF physically trade at 716.58 — potentially deep inside a danger zone — and, because SPY is American-style and physically settled, faced real assignment mechanics around any in-the-money strikes, plus the gut-punch of seeing the market trade through their level. The SPX trader settled off the official closing print near 7,354–7,357, determined by the closing auction — not the wick. Even the intraday SPX low of ~7,336 stayed above where an equivalent short strike would have sat. The terrifying wick, however real, never touched a cash-settled position that keys off the close. The lesson isn't that SPX is risk-free — that wick proves the market physically traded at a stressed level, and a stop-loss order resting in that zone would have been triggered, auction or not. The lesson is that cash settlement and European exercise changed the outcome. The same market event that could have been painful in SPY or in stock was, on a cash-settled SPX position, a non-event that expired off the official close. That is the structural edge described in the tax and settlement sections above, made concrete in a single closing minute. The decision framework Lean SPX if you: Trade meaningful size (one SPX replaces ten SPY, cutting commissions and complexity) Have enough capital and margin to handle the larger contract comfortably Run an active income strategy where the 60/40 tax treatment materially lowers your bill Want zero early-assignment risk on multi-leg structures Prefer the simplicity of cash settlement and no dividend exposure Lean SPY if you: Trade a smaller account and need granular position sizing Want the tightest absolute spreads and the widest strike selection Are building a strategy around actually holding shares (covered calls, cash-secured puts as accumulation) Are trading inside an IRA, where the Section 1256 tax edge is irrelevant Are newer to S&P 500 options and want to learn on a smaller, more familiar contract Consider XSP if you want SPX's tax and settlement benefits at a SPY-sized contract — and can live with thinner liquidity. The bottom line SPX and SPY track the same market, but they are not interchangeable. For a serious, active options trader — especially one selling premium or trading 0DTE at size — SPX's Section 1256 tax treatment, cash settlement, and freedom from early assignment give it a structural edge that compounds over time, in your fills and in your tax bill. SPY remains the better tool for smaller accounts, share-based strategies, and IRAs. Many experienced traders end up using both: SPX for tax-efficient premium selling at size, SPY for tactical trades and anything involving shares. The right answer isn't universal — it comes down to your account size, your tax situation, and the specific strategy in front of you. Choose the instrument that fits the trade, not the other way around. The examples above exclude commissions and fees and are for educational purposes only. Options trading involves substantial risk and is not suitable for every investor. Review the Characteristics and Risks of Standardized Options before trading.
  17. That's great to hear — congrats on the BAC fill! And thank you, that really means a lot!
  18. Thanks Sarang, really appreciate it! More to come with other analyses. Encouragement like yours on my work helps me move forward!
  19. @Romuald first test run was a success as BAC hit 10% target just after open .... that write up is awesome very worthy of a second or even third read ... thanks
  20. Why new developments call for a fresh look at pinning Here are, however, specific reasons to revisit pinning as a retail option investor strategy and the first and foremost of this was the announcement on April 16 by the SEC as reported (in this case) by Schwab: "...Under the new rules, traders will no longer be required to maintain a minimum account balance of $25,000 to engage in frequent margin day trading. Instead, eligible margin accounts of more than $2,000 will gain access to intraday margin buying power set by individual brokerages based on current positions and maintenance margin requirements. Currently, under the old rules, four or more day trades in five business days triggers a "pattern day trader" designation and the $25,000 requirement. Under the new framework, the pattern day trader designation will be eliminated, and day trades will no longer be counted...." (or see this video) 1) The biggest limitation to use pinning or expiry strike price effects was the pattern day trader issue. Inevitably strike price effects whilst usable from the Thursday before expiry to the Friday concentrated on the last trading day. Relatively complex positions are required with three or more legs and therefore pattern day trading was unavoidable. This in turn meant that $25,000 had to be in your account and yada yada. Well this is no longer the case and we can trade freely with most brokers; 2) The advent of 0DTE options has contributed massively to an increase in strike price effects. Older research attributed strike price effects to market makers unwinding massive static open positions built up over month at the crunch time of the 3rd Friday expiry. The effects being strongest at the so called ‘triple witching hour’ when stock index futures, stock index options and stock options would expire (3rd Friday of March, June, September and December respectively). With the multiplication of expiries this has decreased dramatically but the advent of shorter options drives market maker gamma hedging. Positive gamma (net long options) forces market makers to buy shares when a stock drops and the reverse if it rises. This creates a mean-reversion mechanism that drives stocks towards strike price levels. 3) A great deal more study was expended looking at the 0DTE options and they have validated something noted in the 2019 article: mid-strike pinning. At the time it was an empirical observation that stocks prone to pinning sometimes gravitated to the exact mid-point between strikes and pinned there instead. This phenomenon is now known as the gamma wall. Competing hedging behaviour finds an exact equilibrium which causes a pin at the mid-level as every hedge needs to be either over or under the current stock price. As the market is a random phenomenon market, makers cannot choose altogether to go for the one or the other. The stock then becomes stuck in a liquidity pocket halfway between strikes. In other words pinning and strike price effects are alive and well and in fact exploitable more than ever. Strike price effects: pinning, crosses, wild trading Steady Options is a unique service in that it proposes strategies that are typically appropriate for the retail investor. Most of us are unable to harness quant strategies or massive positions exploiting minute arbitrage pricing differences. Many people feel that the game is therefore rigged in favour of big money. Sure, if you go head to head with Goldman Sachs you will be crushed. What else would you expect? It’s like going head to head boxing with Mike Tyson in his prime. The retail investor benefits from his ability to trade small, which means better prices than those opening very large positions. Furthermore, there are certain phenomena like rising volatility towards earnings or the effect of additions to the S&P index that cause predictable effects on elements involved in option pricing. A retail investor can count on those and exploit them where a larger investor would find the market as a whole moving if he attempted the same. Pinning is a phenomenon that certain stocks gravitate towards the strike price of an option on the expiry of that option (generally Friday). Pinning is deemed to occur if the stock price remains (and ends) within 15% of strike spacing. This is an adaptation of Jeff Augen’s approach which used static values to determine whether pinning occurs or not. Nominal Stock Price Strike Spacing Old Static Threshold Dynamic Threshold (15% of Spacing) $40.00 $1.00 $0.40 (Too loose) $0.15 $150.00 $2.50 $0.40 (Perfect) $0.37 $350.00 $5.00 $0.40 (Too tight) $0.75 $600.00 $10.00 $0.40 (Impossible) $1.50 This simple visual from my previous article with a live example by AAPL speaks plainly enough as regards to the phenomenon of pinning itself: Figure 1: APPLE 17 March 2017 Expiry The Y-axis is in dollars representing the amount that the stock was trading away from a strike price. The X-axis represents the number of minutes since trading started (a total of 390 minutes). As noted, a stock can also pin in between strikes – a so called mid-way pin. One needs to analyze specific stocks to make a choice but the phenomenon sometimes takes the shape of the above with a sudden plunge or rise towards a strike. At other times a stock will cross a strike price over and over during the final trading day. Another known strike price effect is the sudden inflation of IV (Implied Volatility) towards the day prior to expiry (usually Thursday) around 4 p.m. and the deflation of that IV in the first half hour of trade on the Friday morning. Same as with our earnings or SPY addition trades, no effect is repeated 100% of the time, in fact even in ideal conditions the effect occurs only 50% of the time. Any strategies must therefore be combined with clear risk limitation tactics taking into account we also know that IV will rise exponentially as we near the bell for ATM strikes. Which stocks are suitable? Broad research shows all stocks are affected – oddly even ones without options – however most option strategies that can be used to exploit them require liquidity and narrow spreads. Here is a list of requirements that need to be fulfilled, ideally in all cases but in any case not massively off target: Liquid large cap optionable stocks with small spreads and a stock price over 100$ or more. The general environment must be one of low VIX – if VIX is high you will get ripped because of underlying market effects. Absence of macro catalysts, so no morning CPO, FOMC, significant earnings by market moving stocks and above all shield us from Trump tweets. Check open interest on the day – it should be heavily stacked on a single psychological strike generally a round number or at least a multiple of 5. This should be quite asymmetric to the remainder of stock open interest at other strikes. The expiry day strike price effects occur over a slightly broader range than my original article averred. You can start looking for effects around 11 a.m. right up to even 1 p.m.. Closing always before the end of day and a minimum of 15 minutes as closing minutes get crazy. If we speak of volatility effects of the end of day before expiry the opening should be around 4 p.m. and closing maximum 30 minutes after the opening. With the proliferation of expiry dates, Friday is not necessarily the only day but liquidity remains the biggest issue. AAPL remains a pinning stalwart and before its company split FDX was the loose electron that would gravitate over and under a strike. GS, MA, NVDA and similar stocks are all worth examining for potential strike price effect opportunities. What option strategies are suitable? In options trading nothing beats being right on direction whatever that direction is, so this includes the stock being stationary. How to exploit that knowledge really has no limit due to the flexibility of options as a trading instrument. Here are just some scenarios with stocks that you believe will pin. The ideas can be tweaked based on the situation. Exploiting the day before expiry This builds on the brief collapse in volatility after 4 p.m. on Thursday, its reinflation on Friday morning and the fall again after 10 p.m. that day. A simple way is the ratio trade for example if the stock is between strikes S and S+1 (the +1 in this case being the next optionable strike not 1$ necessarily). The position is to be opened on Thursday around 4 p.m. if the other criteria for strike price effects (see above) have been met. Buy 10 calls of next day expiry at S Sell 30 calls of next day expiry at S+1 The position should be closed at 10a.m. on Friday and will generate substantial profits even if the stock rises to the S+1 strike price. This is due to volatility decreasing and theta decay. A heavy drop in the stock will be buffered and losses should be manageable. Likewise an unexpected strong rise of the stock is temporarily buffered by the volatility loss and the long underlying position. The position is not proof to all circumstances but simply sufficiently flexible to bail if it goes sideways. If the stock is really pinning at S+1 you should hold till the end as that will maximize profits. On the hand a massive, runaway gap up past represents a maximum risk zone, which is why a disciplined hard exit at Friday's 10 a.m. open is non-negotiable. The classic pin This strategy presumes that you see pin occurring at a particular strike S. As stated, that should become apparent between 11 a.m. to 1p.m. on the expiry day. The lull in trading caused by lunch is helpful to get good prices. Buy 10 calls at S-1 Sell 30 calls at S Buy 20 calls at S+1 or Buy 20 calls S=2 to limit margin and have an open balanced wing butterfly. This position should be closed at the latest 10-15 minutes before the bell when ideally the value of the ATM calls has been bled dry by theta. It relies fully on a real pin at a strike occurring and will lose money in free trading or mid-pin outcomes. A less trade intensive variant is to sell a call or put at S (the pinning strike) and buy the same one week out. You then wait for the short option to bleed its premium whilst the smaller amount of theta bleeding from your long still protects you in case things go sideways. The mid-way pin If you foresee the stock sticking between two strikes one can open an Iron Condor ‘Plateau’ spread (again between 11 a.m. to 1 p.m. on the expiry day). Buy 1 Put at (OR S-1) Sell 1 Put at -1 (OR S) Sell 1 Call at (OR S) Buy 1 Call at (Or S+1) Like all these strategies, you can’t afford to walk away whilst this is playing out but the set-up works in case of a mid-strike pin and if held to (near) the end even if S-1 or S+1 are reached. The biggest issue used to be that not many stocks provide sufficient premium to make it worth one’s while to open this but it is possible with some high volatility high priced stocks. With the current run of high value tech stocks, however, the story is different and IC premiums can be attractive. Utilizing crosses-gamma scalping As mentioned some stocks are known– FDX was notorious for this at least until their stock divestment – for not pinning in a fixed manner but continually crossing a pinning strike either to the upside or the downside. The idea in this case is to utilize the lull in trade as of 11am to 1pm to open a straddle at S if the stock happens to be there. If the stock moves up or down, one or the other side of the spread will make a gain. Occasionally this in itself will be enough to take a profit but usually it is not. The trick is then to delta hedge by either going long or shorting shares to neutralize your delta. Option software to know how many shares to sell is helpful here but one can eyeball it to a degree. Once the stock moves back to S one can close the stock position (or the whole position) and make small gains. Beware of attempting to sell short straddles when the stock is away from S, pinning happens tops 50% of the time so you can find yourself with a huge loss if the stock goes to S+1 or S-2 whilst the profits from all the above strategies are modest. Finding candidates As mentioned above, we need high liquidity stocks with massive option volumes and a clear indicator in the open interest that a pinning situation or crossing is on the books. With the advent of AI, things have become considerably simpler compared to 2019 when the previous article was published. At the time there was nothing for it but to laboriously download data and run analyses through excel on it (at least as a retail investor). With the help of AI we have created a number of little python scripts which can help you. They can be run from python directly if you have that installed but you can also run it in Google Colab. When you run this simple script (see file below entitled simple script), you will be asked to input a ticker, a date for which you want to run the analysis – limited in this case to the previous 4 weeks as the source is Yahoo which is free for that period – and then an entry time. You will get – for example for MSFT – an output like this: So in this example MSFT did a min pin level for most of the trading and a strategy utilizing that and closed in time would have yielded a good result. Historical outcomes do not guarantee a repeated pattern but the idea is to visualize for you how you can identify what the potential pinning level might be and see where trades might have been successful. This can then help you to open positions. The second script (see file below called complex script) is a little more involved, it requires you to have a polygon.io account (free) so that the minute by minute stock data can be downloaded. If you register, your dashboard will give you an API Key that you need to paste in to run it. The script requires 10 minutes+ to run because there is a limit on the amount of data you may download. It gives the following output for, again, MSFT in this case: Note that the values for the option spreads are based on Black & Scholes and not downloaded data. They are not going to be identical to what’s in the market but not a million miles away either. In this case we asked the script to determine the best entry price rather than asking it to pick one as that wouldn’t make sense during a whole year. The outcome is that actually the midday lull – after major morning institutional activity is over – remains the best time to take the jump to open a position. Waiting until at least 12 noon reduces the number of Free Trading outcomes – that is where no perceptible pinning occurred – to 25% or less. What is also clear is that when VIX is higher – i.e. over 16 – more free trading failures occur, whereas below this the number of successful trades is almost double. The cross count column is a powerful indicator of market maker positioning. The distributions across your 39 weeks reveal a stark reality: Intraday Gravity Days: Feature a massive average of 20.2 strike crosses. Classic Pin Days: Feature a clean average of 7.3 strike crosses. Mid-Pin Trap Days: Feature a low average of just 4.4 strike crosses. If you enter a trade during the midday lull and the stock begins to continuously slice back and forth across your target strike, market-maker gamma walls are actively trapping the asset. The heavy volume is forcing a tight mean-reversion around that strike pivot. However, if you establish a position and the stock drifts away without crossing your strike at least twice within the first 30 minutes, the gravity is absent. Given the low cross average on trap days, the asset is likely locked into a clean, low-friction trajectory straight toward a mid-pin hit. For MSFT – based on the last year – a good guide seems to be to open after 12 noon, to avoid ratio strategies if VIX is under 16 but to use an Iron Condor instead. Note that this requires a stock that has a high price – around $300+ although a high beta-stock will also work. Finally, if within 30minutes of opening the trade there are few crosses you should consider that the position might migrate to a mid pin. Change your position in function of that. Finding what works Without boring everyone with the various back-tests that were carried out, analysing stocks with rather different characteristics in the manner described above yielded an interesting playbook of strategies to play. Check the VIX. If it is printing above 20.0, walk away. Institutional fear is too high for pinning to work. If trading a High-Priced Mega-Cap (e.g., MSFT): Check the morning session's realized volatility proxy. If it passes your 17% VIX floor, deploy an OTM Iron Condor (Short Put / Short Call). It provides an airtight, 100% historical safety net. If trading a Mid-Priced, Low-Beta Tech Asset (e.g., AAPL): Completely avoid the OTM layout—the market won't pay you enough to justify the margin. Instead, deploy the ATM Iron Fly to harvest a premium cushion that neutralizes the mid-pin traps. If trading a High-Beta Volatility Outlier (e.g., FDX): Again deploy the OTM Iron Condor. The asset's native whipping action guarantees a good premium payout to sit safely behind a wide strike wide protective boundary. Remember also that the cross-count is a key indicator whether things are going as you expected or not. This is not a fire and forget kind of strategy but one where you sit behind your computer and watch the skies err... the market. Conclusions Pinning is alive and well and there are opportunities for retail traders for the very good reason that institutionals cannot profitably trade such tiny volumes easily. Whether it is a good strategy does depend on the environment and low VIX at the minimum is required or it becomes too risky. Oddly, another factor that is important is the high prices of current high liquidity stocks – this facilitates the use of Iron Condors or Iron Flies which can show excellent outcomes based on holding a position for just a few hours or less. As usual, you do have your eggs in one basket so you’d better watch that basket. In 2019 we estimated a 6% per month return was possible taking into account inevitable losses. With the refinement and encompassing of mid-pin outcomes which enables us to be >60% in having a pin, mid-pin or mid-day gravity outcome, we should have better results than before.
  21. Good morning Romauld, Great Analysis and discussion! Thank you. Sarang
  22. An 80% Win Rate on One of the Most Expensive Entries in the Ticker's History. Would You Take It? Here's a trade the OptionBench pre-earnings scanner flagged, and a question worth sitting with before you read the answer. [CAPTURE 1 — Win Rate 80% / Average Return +21% (median +22% · consistency 0.63) / Earnings Move avg ±3.0% implied ±3.1% / Next Earnings 2026-07-16] TSM reports earnings on July 16. The scanner flags a Long Strangle entered fourteen trading days out — on Thursday, June 25 — with Δ ≈ 0.25 on each side, expiring one week after earnings, taking profit at +10%. The headline numbers look strong: an 80% win rate over 20 past cycles, a +21% average return, a +22% median. Then you look closer, and two things should make you hesitate. First, the strangle is expensive. Its cost as a share of the underlying — the entry's relative value — sits at 4.5%, against a historical average of about 3.1% at this point in the cycle. Second, implied volatility is elevated: around 52% at entry, climbing toward 59%, well above the ~37% this name usually carries here. Every instinct trained on "buy low, sell high" says the same thing: it's expensive, IV is high, wait for it to come back down. And here's the part that should really give you pause — this entry isn't just above average. It ranks among the most expensive entries the scanner has on record for TSM at this point in the cycle, with implied volatility near the very top of its historical range. So: one of the most expensive entries on record, IV at its highs, and every reflex telling you to pass. Would you take the trade? The instinct that costs you the trade Most traders pass here, and their reasoning feels airtight: if it's the priciest it's ever been, mean reversion says it gets cheaper, so I'm overpaying. That reasoning conflates two different things — the price of the option and its expected value. They are not the same axis, and treating them as one is the single most common way traders talk themselves out of good pre-earnings trades. Let me show you why, with this exact trade, using numbers you can pull from the scanner yourself. "Expensive" is not the same as "overpriced" The first question a rigorous trader should ask isn't "is this expensive?" It's "is the market pricing the move correctly?" [CAPTURE 2 — Relative Value « is this trade expensive? », tooltip T-14 : 2026-06-25, Value 4.50%] The scanner answers this directly. Two figures sit side by side in the banner: Implied move at entry: ±3.1% — the move the strangle prices in, averaged across the 20 past cycles at this entry point. Realized earnings move: ±3.0% — the actual average move TSM has made on earnings, same 20 cycles. These are essentially equal. The market is not systematically underpricing TSM's earnings move, and it isn't wildly overpricing it either. The strangle is priced fairly relative to what the stock actually does. So if the option is fairly priced on the move, where does an 80% win rate come from? If the market gets the move right, the edge can't be coming from a mispriced move. It isn't. And that's the whole point. Where the edge actually lives The edge in this trade is not a bet that TSM moves more than the options imply. It's the capture of IV expansion into the event. [CAPTURE 3 — IV % : IV rising from ~52% (T-14) to ~59% (T-9), above historical band ~37%] You enter at T-14. The plan is a good-till-cancelled order to take profit at +10%, exiting before earnings and the volatility crush. And if the +10% never triggers? You still exit before the print — the position is closed at T-2 (for a before-market report) or T-1 (for an after-market one), no exceptions. You never carry the trade through earnings. That's the key risk control: this strategy has no exposure to the earnings gap itself, win or lose. In the window you hold the position, the option premium tends to inflate as the market crowds into the event. You're not holding through the print and hoping for a big move. You're buying anticipation and selling it a few days later, richer. [CAPTURE 4 — Value $, tooltip T-11 (2026-06-30) : Value $26.91, Return +37.5%, Rank 1/20] On the current cycle, that's exactly what played out. Entered at T-14 near $19.57, the strangle was marked at +37.5% by the close of T-11 (June 30) — and earnings hadn't even happened yet. Now, you wouldn't have pocketed +37.5%: your +10% GTC would have filled well before that, somewhere in the intraday tape as the position ran up. The realized gain is +10%, the take-profit. But that +37.5% end-of-day mark is the evidence that the target was hit comfortably, and early. The move you'd have been "waiting to see" is irrelevant to this trade, because you're out before it happens. This reframes "expensive" and "high IV" completely. They aren't warning signs to avoid. They're the fuel. A cheap, low-IV strangle would have far less premium to expand. You want the anticipation. You're selling it, not buying into it. (One honest note for the careful reader, because it matters: the "realized move" measures the one-day earnings gap, while the "implied move" is priced by an option that lives a full week past the event. They're not a perfect apples-to-apples comparison — the option captures the gap plus residual post-earnings vol. If anything, that makes the "fairly priced" read conservative. I'd rather flag it than have someone catch it and assume I was hiding it.) What should have driven the decision Not the price. Not the IV level. The conditional statistics — the numbers the scanner exists to surface: Win rate: 80%, conditional on entering at T-14, over 20 cycles — meaning 80% of those cycles hit the +10% take-profit before the event. (It's a TP-hit rate, not a vaguer "was it green" rate; worth being precise, since it's the number the setup is actually built around.) Average return +21%, and — this is the one that kills the "it's an outlier" objection — median return +22%. The median sitting at or above the mean tells you the average isn't propped up by one lucky cycle. The typical outcome is a strong winner. This is a regular edge, not a lottery ticket. That distinction is everything. An 80% win rate with a median of +22% is a fundamentally different animal from an 80% win rate where the average is dragged up by a single monster cycle while everything else limps. The scanner shows you which one you're looking at, and here it's the good kind. The honesty that makes this defensible I'm not going to pretend this is a free lunch, because it isn't, and the scanner won't let me pretend. There's a consistency ratio of 0.63 on this trade — mean return divided by the standard deviation of per-cycle returns. It measures how regular the edge is, and 0.63 is moderate. The edge is real and it repeats, but there's genuine dispersion: the 20% of cycles that lose, lose meaningfully. This is a trade to size with control, not to back up the truck on. That's not a caveat buried at the bottom. It's the point. A tool that only ever tells you a trade is great is a marketing tool. A tool that hands you an 80% win rate and a 0.63 consistency ratio in the same breath is giving you what you need to size the position honestly. And one more line I won't blur: the current cycle is a single live data point, and a single data point proves nothing. That the take-profit was hit early this time is encouraging, not evidence. The case for entering doesn't rest on it. It rests on the 20-cycle conditional distribution: 80% of cycles hitting the +10% target, a +22% median across all of them. The live cycle is an illustration of that statistic playing out, not the proof of it. If you take one thing from this piece, take that sentence. The takeaway Don't confuse the price of an option with its expected value. They live on different axes. An option can be among the most expensive it has ever been — near the top of its own historical range, IV at its highs — and still be the right trade, because the price of the option and the odds of the trade are two separate questions. "Expensive" answers the first. The 80% win rate, the +22% median, and the 0.63 consistency ratio answer the second. That second set is what should drive the decision. The whole reason a tool like this earns its place is that it puts both answers on the same screen — so you're not passing on a good trade because an instinct trained on the wrong axis told you it looked expensive. Numbers in this piece are pulled directly from the OptionBench pre-earnings scanner (TSM, Long Strangle, T-14 entry on June 25, 2026, 20-cycle sample). Every figure — implied vs. realized move, median return, consistency ratio, entry relative value — is visible in the tool. Verify them yourself; that's the point. Beta-testing is ending by the end of July but you can still give your feedback and ask for signing in on the OptionBench Beta Web Site.
  23. Building OptionBench with you, not just for you What three weeks of beta feedback changed When we opened the OptionBench beta a few weeks ago, the plan was simple: put the tool in front of real options traders and listen. Sixteen of you took us up on it. A handful have been relentless — sending detailed questions, catching things we missed, pushing back when something didn't add up. This post is a thank you to those of you who've been active, and a look at what your feedback actually changed. Because it changed quite a lot. The thread running through all of it is one idea: put yourself in the trader's seat. Not "here is some data" — but "here is what you need to see, at the moment you're deciding whether to take this trade." You questioned the live values — so we built entry context One of you noticed that the live value of a position on the chart didn't line up cleanly with the historical cycles plotted next to it. A small thing on the surface. But it pointed at a bigger gap: the chart showed you where past cycles went, but not where you stand right now relative to them. So we added it. When the market is open and you're inside the entry window, the live banner now tells you exactly how today's entry ranks against every past cycle at the same point in time: 💰 Cheaper than 50% of past cycles at this point — RV 2.1% 📊 IV lower than 88% of past cycles — 24.9% Hover the live marker on any sub-plot and you'll see its rank there too — Rank 2/8, 5/8, whatever it is — so you can tell at a glance whether you're getting in cheap, average, or rich versus the stock's own history. This is the part we're most happy with, because it's exactly what experienced traders already do by eye when they read a relative-value chart. We just made it explicit, and put a number on it. You asked how much the stock actually moves — so we measured it A recurring question: how much does this name typically move on earnings? It's the first thing you want to know before buying a straddle or a strangle into a report. We now compute the realized earnings move directly from each stock's history — the average and maximum one-day move of the underlying on its past earnings reactions, properly aligned to whether the company reports before the open or after the close. We cross-checked the numbers against two other websites on several names and they line up. It's shown as a plain historical fact — this is how the stock has moved — not a prediction. What you do with it is your call. You read the RV chart by eye — so we drew the distribution If you trade calendars or volatility setups on SteadyOptions, you already live in relative-value charts. The usual approach is to eyeball the average line and ask "am I above or below it?" That works, but it hides something: a single average line tells you nothing about how spread out the past cycles were. Being "below average" means very different things depending on whether the cycles were tightly clustered or all over the place. So each RV and IV sub-plot now shows the dispersion band — the middle 50% of past cycles (25th to 75th percentile) plus the median — at every point before the event: Now "cheap" isn't a guess. You can see the full range the stock has traded in at this point in its cycle, and exactly where today sits inside it. The common thread None of these are flashy. They won't promise you an edge or a win rate. What they do is the same quiet thing: make visible, at the moment you decide, what you used to have to estimate in your head. Where does today's entry rank against history? How much does this stock really move? How wide is the range I'm trading inside? Those are the questions a careful trader asks anyway. We're just trying to answer them on the same screen, while it still matters. That's what "putting ourselves in the trader's seat" means to us — and honestly, we've only been able to get close to it because you've been telling us, in detail, where we were getting it wrong. Keep it coming The beta is free until 31st of July, and the feedback loop is the whole point. If something looks off, if a number doesn't match what you expect, if there's a question the tool should answer but doesn't — tell us. The most useful changes so far have all started as a message from one of you. Thank you for building this with us. Romuald & The OptionBench team
  24. We've Partnered with EarningsStudy — Free Core Access for SteadyOptions Members (with all services bundle subscription) Every so often we come across a tool that fits what this community is actually about — doing the work, understanding the trade, and not paying a fortune for the privilege. We've found one, and we've arranged something for you. We're pleased to announce a partnership with EarningsStudy, an earnings-focused options analytics platform. As a SteadyOptions member with Subscription to all service bundle, you get access to EarningsStudy's full core platform at no cost — the same membership their private members pay for, opened up to our community. Why we partnered with EarningsStudy We don't put the SteadyOptions name behind tools lightly, and we don't recommend anything we wouldn't use ourselves. What won us over is that EarningsStudy isn't a product spun up overnight to ride a trend. @krisbee along with me @Kim has been building and refining the platform for more than four years — through every kind of earnings season and every kind of market. That's the same patient, do-the-work mindset our members will recognize. Just as important is the intention behind the offer. Our goal is simple: give back to the trading community by putting the core features in as many serious traders' hands as possible — free, for as long as possible. That's not a limited-time gimmick to harvest sign-ups. It's the reason this partnership exists, and it's why it sits so naturally alongside what we do here. What you get as part of core features Everything below is part of the access you're being given: Earnings calendar — Every upcoming report across 1,000+ tracked symbols, so you spot high-conviction setups early instead of scrambling the morning of. 12 options strategy models — Straddles, strangles, iron flies, calendars and double diagonals, call debit spreads, and long options — each modeled and ranked by expected edge so you compare apples to apples. Expected move & volatility — See exactly what move the market is pricing into the print, before and after it happens, instead of guessing. Side-by-side strategy comparison — Stack candidate strategies against one another for the same name and event, and let the numbers pick the winner. Post-earnings outcome analysis — Learn how comparable setups actually resolved after the report, so your decisions are grounded in history, not hope. Peer earnings view — Read a company against its peer group to catch the read-through plays others miss. Personal watchlists & favorites — Track only the names and setups you care about, and surface them instantly. Track your strategy setups — Follow a setup from the moment it catches your eye all the way through the print. Pin the strategies you're watching, see how their pricing and expected move shift as the event approaches, revisit the history behind each one, and review exactly how it played out afterward — so every setup you track becomes a lesson that sharpens the next one. Fresh data, daily — The whole platform is refreshed every day, so you're acting on what's true now. …and a lot more — These are the headlines, not the full list. The platform rewards the curious, and you'll keep finding tools the deeper you go. And this is just the core. EarningsStudy also has an additional layer of advanced features still in the wings — capabilities that aren't part of the free core offer yet. As they're released, our members will be among the first to see them. How to get in EarningsStudy has set this up in two paths, depending on your SteadyOptions plan. All services bundle SteadyOptions members — you're already pre-approved If you hold the all services bundle SteadyOptions membership, your EarningsStudy application is pre-approved. There's nothing to wait for. Go to https://earningsstudy.com/ Sign in with the same email address you use here on SteadyOptions Complete the short onboarding questionnaire That's it — every core feature unlocks immediately Because you already hold the full membership, EarningsStudy has cleared the approval step in advance. Just bring your existing email, answer a few quick questions, and you're in. On another SteadyOptions plan — register and you're on the list Not on the all services bundle membership? You're still welcome. Register at https://earningsstudy.com/ using the same email you use on SteadyOptions You'll join EarningsStudy's early-access waiting list Access is opening in waves as EarningsStudy scales up its servers to handle the volume — so registering now secures your spot in line. The sooner you sign up, the sooner you're in. In the spirit of SteadyOptions This is exactly the kind of thing we like to do. SteadyOptions has always stood for educating traders and handing them the real tools to stand on their own — not gatekeeping, not hype, just giving our community what it needs to trade independently and well. Most of the time that means writing: breaking down strategies, sharing trades, explaining the why behind every decision. This goes a step further. Rather than only writing about how to read an earnings setup, we're putting the actual platform that does it into your hands. Articles teach; tools empower — and today you get both. Consider it a thank-you to a community that has always given generously, alongside a partner who clearly wants to do the same. Earnings move fast. Now you'll see them coming. — The SteadyOptions Team NOTE: Any questions/issues, send DM to @krisbee @Kim
  25. Reading a low-IV name with the OptionBench IV Scanner: TLT today Every morning OptionBench flags the highest and lowest average IV Rank among the tickers we scan — not the whole market, just our watchlist. This morning (Monday, June 22), TLT came up as the lowest: an average IV Rank of 0, with 30-day IV at 8.8%. At the other end, TSM topped the list around 50.8% — the scan surfaces both extremes, so on any given day you can see which names are sitting at the cheap end of their own vol range and which are at the rich end. Here I'll walk through the low end. A low IV Rank on its own isn't a signal — it just says "this name's implied vol is near the bottom of its own recent range." It's easy to glance at a low rank and reach for a reflexive conclusion ("vol is cheap, buy premium" or "nothing to do here"), but the rank alone doesn't tell you whether that low IV is actually cheap relative to how the stock tends to move. That's the gap the scanner is built to close: it tells you what that low IV has historically meant for TLT's actual movement. That's the piece I want to show. What the IV is actually pricing Here's the line that I think earns its keep. Pulling three years of TLT history, the scanner compares what IV priced (the 1-sigma implied move) against what the stock actually did: Over 45 trading days, IV priced 68% more move than realized (median ±6.4% implied vs ±3.82% realized, 756 observations). Right now, IV is pricing a ±4.34% move — in the cheapest 2% of the last three years, 14% above what this name typically realizes. When IV priced a move like today, TLT historically realized ~±2.05% (median, n=128 comparable days). So instead of "IV is low," you get "IV is in the cheapest 2% of its three-year range, and historically when it was priced this way, TLT moved about ±2% — meaning even this cheap IV has tended to overstate the realized move." That's a far more actionable read, and it's grounded in this ticker's own history rather than a generic rule of thumb. The supporting context The scanner rounds it out with a few descriptive reads, each measured against TLT's own 12-month history rather than absolute thresholds: Mean reversion: IV is currently below its 12-month median — historically the lower-premium regime for this name. Volatility premium: IV 30D 8.8% vs HV20 7.3% is a 1.2× ratio, sitting at the 35th percentile of its own range. IV carries its usual premium to realized vol here — nothing unusual, no strong edge from IV/HV alone. I want to be clear about what this is and isn't. None of it is a forecast. IV can stay compressed for weeks, and "cheapest 2% of three years" is a description of where we are, not a prediction of where we're going. What the scanner gives you is context: a precise, ticker-specific picture of how today's implied vol compares to this name's own behavior, so you can decide whether a setup makes sense for your thesis. In practice, that's how I'd use a read like this — not as a trigger, but as a starting filter. A name showing cheap IV that has also tended to underdeliver on realized move is a different proposition from one that's cheap but has a history of surprising to the upside. The scanner won't make the call for you, but it puts the relevant history in front of you in a few seconds instead of an afternoon of spreadsheet work. Try it From the daily "Today" view, the lowest-IV-Rank badge links straight to the TLT scanner page — one click and you're looking at everything above. If you're in the beta and want to poke at it, this is one of the tools I'd love feedback on. EXAMPLE-IV-TLT.mp4
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