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  1. Past hour
  2. Good question, and it's two separate things: one is a deliberate decision, one is a gap. The deliberate part. On earnings I show a third line in the entry block: the ATM straddle against the stock's average past earnings move. I measured it on events yesterday and it doesn't transfer. Across the nine live event combos, that ratio runs 3× to 7×, against a 1.72 median on earnings. The reason isn't calendar randomness, it's that a one-week straddle prices a full week of ordinary sessions, and on earnings the gap dominates that price while an ISM PMI moves GLD about 1.1%. So the same number means something completely different, and published with the earnings thresholds it would read "expensive" on every line, permanently. It's absent rather than wrong. The honest version would be a self-referential one — "event premium richer than X% of past cycles here", same grammar as the two lines above it. That needs the ATM straddle history per cycle, which I don't store yet. It's on the list. The gap. You're right that the implied move is missing from the tile itself. On pre-earnings the move tile shows "Current implied move ±X%" alongside the historical average; on pre-events it only shows the historical. That's an oversight rather than a choice, and it's the cheaper of the two to fix. Thanks for spotting it, the tile and the block are different questions and I'd conflated them.
  3. @Romuald curious why historical and implied moves are not included on GLD pre-event card ,,, they seem pretty important to decision making for pre-earnings ... is it because pre-events are a bit more random than earnings dates cycle to cycle
  4. Today
  5. @Romuald nice will add GLD to my to do list DOCU is already there
  6. Today's entry windows Three names open an entry window today on the scanner. My filters: win rate ≥ 70%, positive average return, at least 20 earnings cycles of history, at least 2 years on events, and liquidity B or better. The 20-cycle floor matters more than the win rate itself. A 100% win rate on four cycles tells you nothing, and my own scanner flags those rather than showing them off. But everything above is backtested history : win rate and average return across past cycles. It says nothing about whether today's entry is priced well or not. That part only exists once the options data comes in, roughly half an hour after the open, and it's the part that decides the trade. What I'd look at on each card once quotes are live: — Entry cost against its own history. Am I buying early or late in the volatility ramp? — Entry IV against its own history. How much ramp is left to build? — Earnings premium. The ATM straddle against what the stock has actually delivered across past reports. This is the only one whose denominator is something real. Those three can disagree, and the disagreement is usually the interesting bit. A setup can read cheap against its own history while still pricing more move than the name typically produces. Yesterday's example: three earnings names cleared the same filters and all three came back rich on cost, IV and premium at once. Good history, wrong price. I didn't take any of them. The reasoning behind those three readings is here if it's useful: https://optionbench.com/blog/expensive-compared-to-what Happy to answer methodology questions — those are the ones I enjoy. Romuald - optionbench.com
  7. Yesterday
  8. A blog, and what's in it I've added a blog to my site optionbench.com — mostly write-ups of things I had to measure while building the scanners, rather than marketing pieces. The latest one came directly out of a conversation here. Yowster noticed that on the scatter charts, most cycles reaching the P&L target do so within the first week. I ran it across all 46,717 completed backtest cycles: he's right, median day 3, 87.5% within seven sessions. But the raw count would look like that even if nothing real were happening — a cycle that hits on day 3 leaves the pool. The proper test is the hazard rate among positions still alive, and that one does decay, from 10.2% on day one to about 6% from day eight. The part I didn't expect: there's no time stop worth using. Cutting a position that hasn't worked by day seven saves 0.4 points versus holding it. The loss is already there by the time you can see it isn't working. https://optionbench.com/blog/winners-arrive-early Two earlier ones on what "expensive" means for a pre-earnings entry, and why comparing a straddle to its own history isn't the same as comparing it to what the stock actually delivers. For anyone who wants to look at the tool itself, the first seven days are free at optionbench.com. Happy to answer methodology questions here: in fact, those are the ones I enjoy Happy trading, Romuald
  9. Thanks @krisbee for adding the macro events to the charts. One thing to note, and it's an obvious thing but deserves to be noted - the macro events are for this cycle only, the prior cycles have no such ties to those event on a given T-x day.
  10. Yes, we released it last night. Check out "What's new" menu.
  11. is there a feature where you can save your scans or filters
  12. Macro events are now drawn on the charts themselves — CPI, PPI, FOMC, JOBS, GDP, PCE Quick feature note, because this one changes how the charts read. You've had the macro events calendar next to the earnings calendar in the app for a while — FOMC, CPI, PPI, JOBS, GDP, PCE, laid out against the reporting slate. As of this week, those same events are also marked directly on the strategy charts: straddle, strangle, calendar, and long options pages all now show a marker on the exact trading day each macro event lands, both on the days already traded this cycle and on the days still ahead of the print. Why I wanted this on the chart and not just on a separate calendar page: 1. It explains the bumps you're already looking at. When the RV line kinks up mid-cycle, the first question should always be "was that earnings drift, or did CPI print that morning?" Before, answering that meant flipping between the chart and the calendar and counting days. Now the answer is sitting on the chart at the exact T-day it happened. 2. IV builds into known events — and your entry day might be one of them. Options premium tends to firm up going into a scheduled macro release and deflate after it passes. That means a position entered at T-5 the day before CPI is not the same instrument as one entered at T-5 the day after — even at the same distance from earnings. Part of what you're paying (or collecting) is macro vol, not earnings vol. Seeing the marker next to your intended entry day makes that visible before you commit, not after. 3. Event-on-event risk stops being a surprise. The screenshot below is [NVDA] — note [PCE] landing [right against T-0]. An earnings print with a major macro release stacked next to it is a different bet than a clean print: two catalysts, one position. That's exactly the kind of thing that's obvious on a chart and easy to miss on a list. 4. The days ahead are marked too, not just history. The chart shows the remaining trading days into the print with upcoming events already flagged — so if you're planning an entry at [T-x] and there's a [FOMC] marker two days before it, you can decide on purpose whether you want to be positioned through that release or enter after the dust settles. Usual caveat, because I'd rather over-say it: these markers are context, not signals. Nothing about a CPI flag tells you which way vol resolves. What it does is make sure that when you're reading a median path across [N] historical cycles, you know which of those days were carrying a second event — and whether your planned path is carrying one now. This came out of my own annoyance flipping between pages during CPI week — if there's an event type you'd want added, or you'd rather be able to toggle the markers off, say so here. That's how most of these features get built.
  13. Last week
  14. Whether that is a lot depends entirely on what you compare it to — and there are three defensible comparisons, each answering something different. This is what the entry block on every OptionBench card is built around. Three reference points, three questions Position cost, against its own history. The same setup on the same ticker at the same point in the cycle has been priced many times before. Twenty past cycles, twenty entry costs, each divided by the spot at the time. Today's cost sits somewhere in that distribution. This answers: am I buying early or late in the ramp? The value of a pre-earnings long-volatility position comes largely from implied volatility rising as the announcement approaches. If today's cost already sits in the upper half of past cycles at the same T-x, much of that rise has happened. If it sits low, there is more room ahead. Implied volatility, against its own history. Closely related to the first, but not the same. The cost of a position depends on volatility, but also on time remaining and — for a long strangle — on how far apart the strikes sit. The two readings can diverge, and when they do it tells you something: a position that is expensive while its IV is ordinary is expensive for structural reasons, not because the market is bidding up volatility. This answers: how much ramp is left to build? Earnings premium, against what the stock delivers. The first two compare the ticker to itself. This one compares a price to a real counterpart: the ATM straddle divided by spot is what the market charges for the move, and the average past earnings move is what the stock has historically produced. This answers: what is the market valuing today? Why the third one is different The first two are self-referential. They will tell you a $30 straddle on a violent biotech is "cheap" if that stock usually prices even higher. That is useful — it means you are getting a better-than-usual price for that particular name — but it says nothing about whether the price is reasonable in absolute terms. The third comparison is the only one where the denominator is something real. On the BABA card above — captured on August 11, ten business days before the August 20 report — the market is asking for a ±8.8% move, and the stock has averaged ±5.6% across its last sixteen earnings. The ratio is 1.6. Measured across thirteen tickers inside their entry window on a single day, that ratio had a median of 1.72. Not 1.0. The market consistently charges more than the historical move — which is exactly what you would expect if the seller of volatility is being paid a risk premium. One caveat that matters: the straddle used sits on the chain that expires about a week after earnings, so it prices the announcement gap plus a handful of ordinary sessions. Part of the ratio is mechanical, which is why the reading is not centred on 1. Cheap against yourself is not cheap against reality Here is a real case from the scanner. BABA, twelve business days before the report. The entry cost sat below 56% of past cycles at that same point, and entry implied volatility was lower than 69% of them. Both gauges green. Nothing about this entry is expensive by the ticker's own standards. And yet: the market was pricing a ±8.9% move against a ±5.6% average earnings move over sixteen cycles. A ratio of 1.6. Both readings are true. The first says this entry is cheap for BABA. The second says you are still paying more than this stock typically delivers. Neither one is the answer. Holding both at once is the answer. What the Color does and does not mean On the card, the first two readings turn green when the entry is favorable to a volatility buyer and amber when it is not. The bar fills with distance from the median, so a full green bar is not good news by itself — it means this entry is cheaper than every cycle on record, which is worth knowing, not worth acting on alone. The third reading carries a number rather than a percentile, because the number is intuitive on its own: 1.6× the typical move means the market has priced in 160% of what the stock usually does. The color flags the extremes; the figure does the talking. None of this is a signal. It is context — the difference between a number on a screen and a decision. The reading that should actually stop you If you take one thing from this: the gauge that ought to give a volatility buyer pause is not the premium being high. High implied volatility on a long-volatility position is the price of admission to a wide distribution, not evidence of a bad trade. What should stop you is paying for a move the underlying does not historically deliver. That is the third reading, and it is the one most screeners never show — because it requires comparing what the market charges with what the stock has actually done, cycle after cycle. Next: why the position exits before the announcement, and what that changes about all of this. OptionBench is a research and analysis tool, not an investment advisor. Nothing here is a recommendation to buy or sell any financial instrument. Backtested results are hypothetical and do not guarantee future performance. The original article was first published here.
  15. No, I wasn't aware of their new structure.
  16. @Kim and my other fellow Canadian traders I am curious if any one has picked up on Questrade's $0 commissions? It looks legitimate even the fine print. Monthly subscriptions of 9.95 and 11.95 look like they will cover CAD and US stocks and US options. Set up 2 margin accounts but have not funded them yet as I have been checking on the power of its API to feed data to some apps I have been developing. IB restricts this to one account per user (or at least that is the case based on my research) whereas Questrade will work for at least 2 which meets my needs. If any one else has set up an account with Questrade I would be interested on their thoughts to open and start trading with them. Thanks
  17. There is a new coupon on the first post of this thread.
  18. Looking to subscribe, can the coupon code be extended? THanks, Eric
  19. Thanks for adding the spread filter. I find that helpful to weed out unrealistic trades.
  20. New on the Daily Screener: a liquidity check on every setup @FrankTheTank recently asked me a question that's harder to answer than it sounds: "How many of these setups could I actually get filled on?" It's the right question. A screener can show you a beautiful historical edge — high win rate, strong median return — on a name whose options trade so wide that the edge exists only on paper. The backtest gets a clean theoretical price; you get the spread. Wide bid-ask markets are how a good-looking backtest quietly becomes a bad live trade, and most tools simply don't warn you. So now the screener does. Every symbol on the Daily Screener carries an NBAS value — a normalized measure of how wide its options markets are, derived from the same market data the historical numbers are built on. Lower = tighter markets = the numbers on your screen are closer to something you can actually have. You don't need to know anything about how it's computed to use it: it's color-coded right in the table — green is tight, amber and orange are questionable, red is wide, and a "—" means the name had no measurable liquid options at all, which is its own answer. How to use it Next to the Return and Win % filters there's a new Spread (NBAS) dropdown. Select the tightest bucket and the board shrinks to names where the market is liquid enough that the historical numbers deserve your attention. When a spread filter is active, unknown-liquidity names are excluded too — if liquidity can't be measured, that's a caution flag, not a free pass. The honest part Building this taught me something I wasn't fully expecting, and I'd rather tell you than have you discover it the hard way: once you screen for liquidity honestly, a lot of the board falls away. Far more names than you'd guess carry markets too wide to trade well — including some with genuinely impressive historical stats. That's not a flaw in the backtests; it's the difference between an edge that existed in the data and an edge you can collect. This column exists to keep those two things from being confused. Two caveats so nobody over-reads the number: It's a relative ranking, not a fill forecast. The measurement comes from end-of-day data, and closing markets run wider than what you'll typically see intraday on liquid names. Use it to compare names against each other and against the backtest's own pricing basis — not as a prediction of your fill cost tomorrow morning. A tight spread is a prerequisite, not a signal. Green doesn't make a setup good — it just means the market will let you have it near a fair price. It filters out false edges; it doesn't create real ones. Before shipping, the values were cross-checked against independent live quotes on several names and lined up well. The number measures what it claims to measure. That screenshot is the whole reason this feature exists: a setup with strong historical stats that you should almost certainly never touch, because the market for it barely exists. Before this column, that row looked identical to a real opportunity. My updated morning routine Open the Daily Screener → set the Spread filter to the tightest bucket → then start reading win rates and medians. Liquidity first, edge second. An edge you can't collect isn't an edge, so there's no point evaluating it. This feature shipped because someone here asked for it — which is how most of the platform gets built. Curious about the methodology details? They're documented inside the app for members. And if there's a number you wish the screener showed, or a question you keep answering by hand, say so here or DM me. The fastest way to get a feature is to complain about its absence. Thanks to @FrankTheTank @Bhavan1986 for sparking the idea & and to my teammates @Kim @Yowster @TrustyJules for helping shape the app! 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 SO members on the ALL bundle: full core access to EarningsStudy is free through the partnership. Everything above is historical/educational analysis, not a trade recommendation or financial advice. Options trading involves substantial risk. Liquidity measurements are from end-of-day data and will differ from intraday markets.
  21. Anchor Trades First half of 2026 Summary: Anchor model portfolio was up 12.5% in first half of 2026 vs. 9.6% return of S&P 500. Since inception in 2019 Anchor model portfolio is up 345.3% vs. 199.2% return of S&P 500. Since the end of 2022 when both Anchor and S&P 500 were down, Anchor is up 150.3% vs. 95.2% return of S&P 500. Members who canceled in 2022 based on one negative year, all I can say is: Anchor continues crashing the S&P 500 year after year. Thank you again @cwelsh for an amazing management of the strategy! And congrats to our members!
  22. Earlier
  23. First execution report from a subscriber Canuck Dave traded a pre-earnings strangle off the scanner this week and filled at +18% on the open. That's the first live execution report I've had since launch, and it's worth more to me than any backtest figure I could post — so thanks to him for sharing it, and for letting me quote it. It also taught me something. The setup carries a +10% take-profit, but the position gapped through it overnight, so a limit order filled well above the target. That's a real execution path the backtest doesn't distinguish from an intraday touch, and I'm looking at how to model both properly. The part I want to be careful about. He mentioned going again because the next setup reads "cheap". I'd rather say that the cheapness gauge is not necessarily a green light. It tells you where today's entry sits against past entries at the same point in the cycle. That shifts the odds across many cycles — it does not pick the next one. For example, a cheap entry on a setup with four cycles of history isn't a bargain. An expensive entry on one with twenty well-behaved cycles can still be worth taking. Read it next to cycle count and the earnings-move tile, not on its own. The same applies to the win rate. 88% over 24 cycles means three of them lost, and nothing on the card tells you which three you're about to take. None of that makes the tool less useful. It just means it does something narrower than "find winners" — it tells you what a trade is worth under stated assumptions, and where the numbers disagree with your intuition. That's the whole product. Romuald https://www.optionbench.com/ The blog is now live on optionbench.com. First piece is Expensive Isn't a Veto — about a setup my own entry gauges told me to skip, which then returned 42%, and what I think that actually means. It's the long version of the point above. https://optionbench.com/blog/expensive-isnt-a-veto
  24. @Hany That's reassuring to hear, as I flirt once again with the 390/month limit. Interesting to learn how other brokers are handling it too, thanks.
  25. Thanks Sarang, I'll reply to you in a private message.
  26. Thanks @Romuald for all your work pulling this together. I appreciated the opportunity to be a beta tester and in a small way a contributor to the shipped product. Looking forward to my first annual subscription and many more after that. Dave is
  27. Romuald, Sorry to keep sending messages to you. In the "Today's Briefing" page, it would be better (from my perspective), if you move the: "Lower win rate .........Higher win rate" to the top of the "Opportunity Map" Sarang
  28. Romuald, This is Sarang again. When I entered my details for the subscription, the site said the email already exists. Then, I saw that those who have an account can log in - I tried and got in. Let me know how and where to provide credit card details for a subscription. Thanks, Sarang
  29. Romuald, This is Sarang, one of your beta-testers. I tried to subscribe using the "Optionbench.com" site. One suggestion: The password line does not have a facility to see the typed password. Please include that.' Thanks, Sarang
  30. OptionBench is live! The beta is over. Two months, seventeen testers, a lot of pointed feedback and several improvements. Thank you for that. What you get Nine tools, one subscription: • Today — daily opportunity map, ranked by historical edge • Weeks — every entry date from every scanner in one calendar • IV Scanner — where options are unusually rich or cheap versus their own history • Pre-Earnings and Pre-Events ETF — backtested win rates, average returns, and per-cycle dispersion on FOMC, CPI, NFP, ISM, PCE and earnings • Best OS ETF — option structures across 26 liquid ETFs, with the payoff and key figures laid out • Ticker-Options Ideas — pick a ticker, get what currently makes sense on it • Trade Doctor — any multi-leg position, fully diagnosed: POP, expected P&L at implied and realised vol, loss profile, liquidity • Forecast by Options — the probability distribution the market is pricing right now, straight from the chain Pricing $49/month, or $529/year — $44/month if you pay annually. 7-day free trial, cancel any time during it. Discord Every subscription includes the private server. Methodology questions, scanner discussion, bug reports, and a direct line to me. It's also where I post what I'm working on before it ships. And this is the part I mean Tell me what's missing. Every meaningful change over the last two months came from someone here saying "this is confusing" or "why isn't there a…". The intraday timing tool, the expiration fix, the calendar filters — none of that was on my roadmap. Your roadmap is better than mine. https://www.optionbench.com/ Welcome!
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