BEFORE
Don't guess the strike. The chain already priced it.
Don't guess where the price will go. Our AI instantly draws the Expected Move range from Options Chain on top of the technical charts to let you pick strike price to sell cash secure put or short call easily for Wheel Strategy
Scope: wheel legs plus, newly, put and call credit spreads. Credit-spread mode is new; do not imply it has always been there. The linked copy is SAMPLE DATA, not live moomoo quotes.
Repeatable promptStrike selection workflow - run before every new Wheel entry
1. For each symbol on my watchlist, pull the option chain for the expiry closest to 30-45 days out and compute the Expected Move from the at-the-money straddle. 2. Draw that range on the daily chart alongside support, resistance and the 20/50-day moving averages. 3. Tell me which strikes sit outside the Expected Move AND below technical support, because that is where a cash-secured put has two reasons to expire worthless instead of one. 4. Show the credit, the annualised return on the cash I have to set aside, and the assignment price for each candidate. For a credit spread, also show net credit, max loss, ROI on max risk, and liquidity on both legs. 5. Flag any candidate whose expiry spans an earnings date.
Re-run this tomorrow and it refreshes. That is what makes it a workflow rather than a report.
What the AI does with it
Reads the option chainTakes the at-the-money straddle for the expiry you care about and turns it into the Expected Move: the range the market itself is pricing between now and that expiry.
Draws it on the technical chartThe Expected Move band goes on the same daily chart as support, resistance and the moving averages, so the two ways of choosing a strike are visible at once instead of in two tabs.
Ranks the strikesCredit, annualised return, assignment price. A new second mode sizes a put or call credit spread the same way: net credit, max loss, ROI on that max loss, liquidity on both legs.
Flags the calendarAny candidate whose expiry spans an earnings date is marked, because that is a different trade with a different distribution - which is exactly what the next act is about.
So what, for the investor
Open the strike selector strike-selection/index.htmlThe investor stops arguing with themselves about the strike. They get a shortlist where the strike is outside what the market is pricing and below where the chart says buyers showed up - two independent reasons for the option to expire worthless.
Real tool, simulated data6 / 16
DURING
Fifteen positions, one timeline
Forget manual spreadsheets. AI tracks your Wheel strategy and cash secure put positions, alerts you on expiration cycles and flags assignment risk with email/telegram notifications
Repeatable promptEarnings and expiration workflow - run weekly, and again the day before any print
1. Read my open options positions and flag every one whose expiry falls on or after the underlying's next earnings date. 2. For each of those underlyings, measure three realised distributions from the last 5 years of prints: the run-up 10 sessions before, the gap on the print, and the drift 5 sessions after. Histogram each one. 3. Divide the median gap by the symbol's ordinary session size, so I can see how concentrated the risk is, and tell me the strike distance that would have survived 90% and 95% of those prints. 4. Where IV history exists, measure the ramp into the print and the crush after it, and recommend a strategy per phase that follows from those numbers. Say when the answer is that there is no trade. 5. Chart every open position from entry to expiry so I can see the whole book on one timeline, and alert me by Telegram and email the moment one crosses into assignment risk or goes inside 3 days to expiry.
Re-run this tomorrow and it refreshes. That is what makes it a workflow rather than a report.
What the AI does with it
Every position from entry to expiryOne horizontal bar per position on a shared calendar, with a line for today. Elapsed time is solid, remaining time is faded, and the colour is the days left. You see the whole book's expiry structure without reading a single date.
Buckets by urgencyThe same positions again as columns - 0-3 days, 4-7, 8-14, 15-30, 31 and over - so 'what needs a decision today' is a place on the screen rather than a sort you have to remember to do.
Progress toward the profit targetEach position carries a bar showing how much of the maximum profit it has already captured against the 80% target, which is the number that says close it rather than hold it.
Names the actionHold, roll, close, or take the assignment - per position, with the reason stated in the numbers rather than as advice.
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I can't manage them all. Now, with the Gantt chart method, I can quickly see that this option was opened on May 3rd and it will expire on May 31st. Is it almost expired now?
a trainee, on managing a full bookSo what, for the investor
Open the expiration board dashboard/index.html#boardThe position that hurts an options seller is the one they forgot about. This makes forgetting structurally difficult, which is a different and better thing from reminding them to be careful.
Simulated data8 / 16
DURING
Earnings is the one risk with a date on it
Forget manual spreadsheets. AI tracks your Wheel strategy and cash secure put positions, alerts you on expiration cycles and flags assignment risk with email/telegram notifications
What the AI does with it
Three distributions, not oneThe run-up over the ten sessions into the print, the gap on the print itself, and the drift over the five sessions after. They are different shapes and they call for different trades, which is invisible if you only ever look at 'the earnings move'.
A strike, read off the histogramHow far out a short strike had to sit to have survived 90% and 95% of that symbol's last twenty prints. That is a strike derived from what happened, not from a delta convention.
How concentrated the risk isThe median gap divided by the symbol's own ordinary session. When a name moves 1% on a normal day and 5% on a print, its risk is bunched into four dates a year and has to be sized for that.
The volatility round tripHow much implied volatility was bid up going in and how much of it collapsed within two sessions. That collapse is what a short premium position through the print is actually paid for.
So what, for the investor
Open the earnings analysis earnings/index.htmlEvery phase gets a recommendation that follows from the numbers next to it. Change the symbol and the recommendation changes - including to 'there is no trade here', which is the answer a tool with an opinion baked in can never give.
Simulated data9 / 16
AFTER
You cannot improve what you have not measured
Keep your winners and cut your losers reviewing your options strategy with a trade journal. AI journals your trades, evaluates your performance expectancy, and shows you risk and insights to improve your options trading
Repeatable promptPerformance journal workflow - run weekly, or after every close
1. Read every options fill in my account, group the legs back into the structures I actually traded, and pair the opens with the closes. 2. Compute expectancy, win rate, profit factor and average hold for the book and then again per structure, per underlying, per sector, per DTE band and per IV regime. 3. Chart the equity curve and the drawdown, and put every closed trade in a journal table I can filter. 4. Tell me the single habit costing me the most money, with the evidence, and what to change. Then tell me what is working so I do not cut it. 5. Give each open position a specific action: hold, roll, close, or take the assignment - and say why in terms of the numbers above.
Re-run this tomorrow and it refreshes. That is what makes it a workflow rather than a report.
What the AI does with it
Rebuilds the trades from the fillsOptions fills arrive as individual legs. This groups them back into the structures you actually traded and pairs the opens with the closes, including the assignments.
Expectancy, not profit and lossWhat one average trade is worth to you once wins and losses are weighed together. A 70% win rate can still lose money, and expectancy is the number that shows it.
Where the edge actually isThe same metrics again by structure, underlying, sector, DTE band and volatility regime - so 'which of these should I do more of' has an answer.
Names the habit costing moneyThe insights engine states a finding, shows the evidence behind it, and says what to change. Then it says what is working, so you do not cut the thing that pays.
So what, for the investor
Open the performance journal dashboard/index.htmlThe investor stops rewriting their strategy after every bad month, because they can finally tell an unlucky month apart from a broken edge. That is the difference between a trader who compounds and one who churns.
Simulated data12 / 16