Stats

A study was done on Conagra stock controls and breakout using a diagnostic tool called CLI. The study used 11 events from 2023, with $1000 initial investment and $30 stock exposure per event. The study was divided into training from 2024 to 2025 and holdout in 2026. The results showed that the long position had a return of -0.348071% during training, with a drawdown of 0.499122% and 33.33% win rate. In the holdout period, the return was -0.074364% with a drawdown of 0.074364% and 0% win rate. The short position, which is only for diagnostic purposes, had a return of 0.133033% during training and 0.026566% in the holdout period. The study also used a CLI tool with parameters such as 20-day lookback, 730 days, 5% stop percentage, and 15% target percentage, and found a return of -7.29374% with a drawdown of 8.05669% and 29.4118% win rate. The study concludes that neither the breakout strategy nor the 2-event stock control validates purchasing the Conagra stock option. The study notes that the real option bid/ask history and 15-minute exit backtest are still missing.

A technical screen of four stocks, including CAG, ABVX, IONS, and SFIX, was completed on September 18, using daily observations from a dataset found at https://runway.adityaperswal.workers.dev/data/stock-bars. The screen found that CAG's price of 15.13 was below its 50-day moving average of 15.1632 and its 200-day moving average of 15.3402, with an average true range over 20 days of 0.38701, a realized volatility over 20 days of 22.486%, and a 20-session momentum of -7.0068%. The stock's volume was 2.253 times its prior 20-day average, with a 252-day high of 19.59. ABVX's price of 105.04 was below its 200-day moving average of 118.9799, with a high of 148.83 and volume of 0.784 times its prior average. IONS' price of 44.44 was below its 200-day moving average of 72.1822, with a high of 86.74 and volume of 2.100 times its prior average. SFIX's price of 2.84 was below its 200-day moving average of 3.9037, with a high of 5.94 and volume of 2.016 times its prior average. The conclusion is that none of these stocks qualified for a buy signal based on a 52-week high breakout, and high volume alone does not necessarily indicate buying pressure. The 20-day downside trend in CAG is context for a potential put, but it is not independent proof of the direction of the event. It is possible for a near-term rebound to occur even with weak averages, and correlated trend indicators should not be stacked as independent votes. This screen is limited to these four stocks and is not an exhaustive review of the entire market. The trading sample and event chronology remain separate, and there is no substitute for equity or spot under the long-options-only mandate.

A review of Conagra's earnings events from January 2024 to July 2026, which had 29674 to 84 recorded events, primarily released at 7:30, along with PDF announcements in October, and a duplicate count on January 4, has been conducted. The review measured the reaction to these events from close to close, similar to the inherited median, without mixing it with the gap. The median absolute reaction was 2.0644096%, with the 80th percentile reaction being 5.4213318%, and the maximum reaction being 8.041958%. The signed mean reaction was -0.881869%. A separate overnight median reaction was 2.811245%, with the 80th percentile reaction being 5.124056%. A bootstrap analysis with 50,000 iterations and a seed of 91908 found the 95% confidence interval for the median reaction to be 1.5216% to 5.4213%, and the 80th percentile reaction to be 2.0644% to 8.0420%. The analysis did not model small sample or regime dependence. The current ask price is $15.13 and the bid price is $0.08 for the October 16 contract, which requires an 8.988764% reaction to reach the breakeven point, with no affordable expiry eligible legs passing. A news scan found the headline that Conagra Brands will release fiscal 2027 first-quarter earnings on September 30, 2026. The conclusion is to reject the current chain under both mandate gates. Even excluding the October 2025 event, the median reaction of 1.98285% and 80th percentile reaction of 4.58254% still fails. A counterexample of an unprecedented guidance collapse could pay, but there is no measured probability to justify overriding the rule. The sampling excludes older regimes before 2024 and does not measure the remaining 16 calendar-day option time value, with no option expected value claim. The sources of the data are event observations and https://runway.adityaperswal.workers.dev/data/stock-bars, which is an indicative chain.

The following premises are considered: ConAgra Foods has a fiscal year 2027 sales guide of -3% to -1% and a net debt of 7.05 billion with a free cash flow of 979 billion for the ticker symbol 3511. Abivax has a financial update scheduled for September 2021, which can be found at https://ir.abivax.com/events/event-details/h1-2026-financial-results/. Ionis already received approval on September 3, as stated at https://ir.ionis.com/news-releases/news-release-details/zanvastrotm-zilganersen-approved-fda-first-and-only-disease. A bear chain for ConAgra Foods is as follows: 1, worse volume and margin lead to 2, less cash available for investment and debt service, which leads to 3, leverage and equity valuation pressure. A bull counter chain is volume recovery leading to cash restoration and then deleveraging and equity rerating. Generic peers may face the same consumer pressure, but the brand and channel mix prevent an automatic trade based on this information. For Abivax, the chain is: 1, reported cash and trial spend lead to 2, financing runway and dilution needs, which lead to 3, equity valuation. Routine financials do not justify borrowing based on the distribution of clinical readout tails. For Ionis, the chain is: 1, approval removes a binary event, leading to 2, paid access and launch costs, which lead to 3, recurring cash and capital allocation. Approval itself does not guarantee cash. These are conditional inferences, not measured probabilities. Creditors benefit from cash retention, issuers benefit from funding optionality, and patients benefit from access. None of these prove a long option edge. The conclusion retains separate event types and updates only from actual primary news.

A news scan found the report from Conagra Brands on July 15, which stated that the company's free cash flow was $978.7 million, a decrease of 24.9% from $1,302.6 million. The report also mentioned that the company's net debt was $7,050.4 million and its leverage was 3.83 times. For the fiscal year 2027, the company's adjusted earnings per share is expected to be between $1.40 and $1.50, and its organic sales are expected to decrease by 3% to 1%. On September 18, the stock price was $15.13, which gives a price-to-earnings ratio of 10.09 to 10.81 times the guided adjusted earnings per share. However, accounting adjustments and leverage prevent the conclusion that the price is cheap and provides a margin of safety. The guidance provided by the company is its own forecast, not a surprise compared to the consensus. Despite weakening conditions, the company's cash generation is still materially positive. To support a bear case, there would need to be a deterioration in volume and margin beyond what is currently expected. On the other hand, a bull case could be made if there is stabilization and deleveraging. The management benefits from adjusted metrics and a turnaround narrative, while creditors benefit from cash retention. The ratio of free cash flow to net debt is 13.88% on an annual historical basis, but this is not a forecast of debt payoff or owner-equity yield. Previously, the direction was neutral, but sustained cash improvement weakens the put thesis. A sharp deterioration in cash and guidance would support the downside, but still requires a qualifying contract. The valuation multiples do not override the failed tailgate.

The R91908 next-two-session calendar and obsolete FDA catalyst are based on the following premises: the issuer Abivax lists its H1 2026 financial results on September 21, with the hour unknown. MillerKnoll confirms a conference call on September 22 before the market opens at 8:30 ET. The New York Fed lists household spending at 11 ET on September 21 and Philly non-manufacturing at 8:30 ET and Richmond manufacturing at 10 ET on September 22. The Bureau of Labor Statistics does not list these events, but its calendar is not exhaustive. Ionis confirms the FDA approval of Zanvastor on September 3, making the previous September 22 PDUFA date obsolete. In conclusion, there is no pending IONS FDA trade and no need to exit current positions. Abivax is considered cheap at $0.28 compared to $5.04, but would need a 32.6733% drop. The financial update is not the same as a clinical binary event. MillerKnoll's prior minimum of 52 is greater than 30, but neither provides a live entry. On Monday, fresh quotes from SFIX and BB remain actionable, and on Tuesday, the actual MLKN and survey outcomes will be recorded. Stronger or weaker survey data changes the context but does not create an option edge. Early issuer news or a date change can realign the event and cancel the pending premise. The FDA whole market decision census remains incomplete, and the explicit no-known-live FDA candidate is not proof that none exist. Dates are chosen to review inputs, with no invented announcement hours.

The automated trading fund manager made a final decision to hold 100% cash, explicitly rejecting SFIX, which refers to Stitch Fix, a company that provides online personal shopping services. The decision was based on several premises, including the reverified issuer of SFIX on September 23, with an unchanged ask price of $2.5 on October 16. A news scan found the press release at https://investors.stitchfix.com/news-events/press-releases/news-details/2026/Stitch-Fix-Announces-Date-for-Fourth-Quarter-and-Full-Fiscal-Year-2026-Financial-Results-and-Conference-Call/default.aspx. The manager considered a 21.83% increase in price versus a median of 16.57% and a potential payoff of 1.97 times the investment, but rejected the ticket SFIX261016P00002500 with a $28 premium. The manager also considered other events, including a study on BB, which refers to a stock ticker, with a hurdle rate of 14.89% versus a median of 9.11%, and a potential payoff of 0.17 times the investment. The manager also looked at MLKN, which refers to Miller Knoll, and CAG, which refers to Conagra Brands, but found that the options were too expensive. The conclusion is to retain 100% cash and not place any orders while research is ongoing. The manager will re-evaluate the options on Monday at 9:50 and 12:30 and consider repricing, recomputing net odds, and adjusting the premium and target prices. The manager is watching SFIX and BB, but notes that neither is a quote, and will only hold the position if the price move is less than or equal to the realized median. The research coverage includes four US-listed and Canadian stocks, but is not exhaustive, and the manager notes that there is no edge in the whole market. Existing positions in SFIX and new positions in BB have been preserved, and no new fund proposal has been made.

A simulation was run to analyze a Thursday gap in stock prices. The simulation used 13 observed overnight gaps from August 29 to September 4, with a stock price of $7.99. The simulation took into account 10 trading steps from Monday, September 21, to October 2, and an event on Thursday, September 24, related to the company BlackBerry, which can be found at https://investors.blackberry.com/. The simulation used a corrected step 4, which replaced the initial step 3 outputs of 29595-97. The simulation used 50,000 paths and a scenario seed of 91906, with a stock price that had no expected drift, and an annual volatility of 40%, 60%, and 80%. A gap was injected on day 4, with an interest rate assumption of 4%. The simulation used a put option model with a floored intrinsic value, and pre-event and post-event volatility assumptions. The simulation did not use American exercise boundary calibration. The exit strategy was to model the daily mark, which was less than or equal to 0.5 paid or greater than or equal to the maximum of 3 paid and the 80th percentile of the intrinsic value. The actual execution used a 15-minute quote and liquidity, and a gap stop, but this was not validated. The simulation assumed a roundtrip cost of $1 and an exit slippage of $0.01 per share. The target price for the K7 put option was $0.20, with a target of $0.60, and the means were -$13.6358, -$10.8047, and -$6.7817. The stop percentages were 95.850%, 92.566%, and 87.452%, and the target percentages were 3.234%, 6.130%, and 11.384%. For the K7.5 put option, the hypothetical target price was $0.20, with a target of $0.60, and the means were -$7.1241, $1.7658, and $10.9070. The stop percentages were 83%, 71.85%, and 60.444%, and the target percentages were 13.416%, 25.566%, and 37.804%. The current ask price for the K7.5 option is $0.46, which costs more than the $0.30 cap. The means were -$30.4092, -$23.0016, and -$15.1475. The $0.20 price is not quoted and is not attainable. The model often shows a full premium plus fee, despite a half-premium stop. A separate analysis used a signed close intrinsic payoff log utility grid, with a half Kelly criterion of 0, for the K7 put option with a price of $0.20, and the K7.5 put option with prices of $0.20, $0.23, and $0.46, after a friction of $0.02. The intrinsic value excludes the remaining time value, so it is not proof of a true option expected value being negative. The current live allocation is 0, with a hard one premium less than or equal to $30, and a total less than or equal to $100, with a maximum of 4. A quarter probe cannot rescue an invalid quote or a failed mandate. The risk is the full premium, not the model stop. The data source is https://runway.adityaperswal.workers.dev/data/option-chain/BB?feed=indicative and stock bars.

The premises of a test were set using a command line interface to run a backtest on the stock symbol BB. This test used a breakout strategy, looking back 20 days over a period of 730 days, with a stop loss of 10% and a target profit of 30%. The results showed a return of 169.4115%, a drawdown of 11.1785%, a win rate of 35.4839%, and 31 trades over 501 bars. The buy and hold return was 230.3719%. This test did not include an independent holdout or cost calibration, so it is not trusted for trading. A separate test was run using vectorbt from January 2023 to December 2025 for training and 2026 for holdout. This test looked for close breaks prior to 20, 50, and 100 session highs, with volume greater than 1, 1.5, and 2 times the prior 20 mean, and close greater than the simple moving average of 200. The test entered trades following the open and exited following the open after the close was less than the simple moving average of 20. One share was bought per $1000 book, with 10 basis point fees and 10 basis point slippage on each side, and no option prices. The baseline test had a return of 0.268038%, a drawdown of 0.132377%, a win rate of 100%, and 3 trades. The holdout test had a return of 0.428765%, a drawdown of 0.151146%, a win rate of 100%, and 1 trade. A full 9 parameter grid holdout test had returns ranging from 0.18921% to 0.428765%, with 1 to 2 trades. The baseline was fixed before the results, and there was no best selection in the holdout. The last 252 high was 13.59 versus 7.99, and the current 52 week breakout is absent. A stock proxy cannot establish a call theta, crush, or net option edge, and one held out winner is not replication. The source of the data is https://runway.adityaperswal.workers.dev/data/stock-bars. The figures are percent of $1000 with one share exposure, not percent return on premium.

A test of a trading strategy for BlackBerry put options was conducted. The test was based on 13 events where the company issued important updates, and historical option prices were retrieved for 9 event windows. The test used the nearest out-of-the-money put option with a strike price within $0.30 of the stock's closing price, and the option was bought two sessions before the event and sold on the day after the event. The test was run on 7 pairs of data before 2026 and 2 pairs in 2026. The test used a $1 fee at entry and exit, and a $1 roundtrip cost. The results showed a -6.50% return and an 8.20% drawdown for the training data, and a -3.80% return and a 3.80% drawdown for the holdout data. The test also showed that increasing the friction cost to $0.05 and $0.10 decreased the returns. A control test using call options showed a -0.60% return and a 2.45% drawdown for the training data, and a -0.40% return for the holdout data. The test used data from https://runway.adityaperswal.workers.dev/data/option-bars and issuer observations 29472-84. The test found that a generic rule for buying cheap options did not work, and the historical test did not provide enough evidence to justify buying the options.

A news scan found the text: Premises are based on observations from 29472 to 84 and 11 training events from June 2023 to December 2025, with 2 held out events in April and June 2026. Five separate ordinary least squares, or OLS, calculations with an intercept predict the signed reaction from the pre-event distance from the 50-day simple moving average, or SMA50, momentum over 20 days, or mom20, relative strength index over 14 days, or RSI14, realized volatility over 20 days, or RV20, and the volume divided by the prior 20-day mean volume. No feature selection was done on the test. The training correlations were 0.37356, 0.33381, 0.28807, 0.30070, and -0.25249. The test mean absolute errors, or MAE, were 7.9646, 11.6317, 10.2009, 11.6046, and 8.9444 percentage points, compared to the constant training mean of 11.4514 percentage points. The distance from the 50-day moving average predicts 3.1548 and 9.0849 percent, versus the actual 8.2153 and 19.9536 percent, and misses the strong tail. There is strong collinearity, which is a measure of how much two variables are related, of 0.838 to 0.897 among trend features, and the small number of observations, or tiny N, and mixed business and time-of-day regimes make stacking, or combining multiple models, unjustified. The null benchmark is the training mean, not the hindsight zero, or the perfect prediction. The conditional fit arithmetic is valid, but the generalization, or the ability to make predictions on new data, is unsound with only two observations. The prior neutral, or the initial prediction, remains unchanged, and no directional odds, or the probability of a price moving up or down, were extracted. The source of the data is https://runway.adityaperswal.workers.dev/data/stock-bars and 13 issuer PDF observations, and the Python script regime.py preserves the coefficients, or the weights of the models. The known historical holdout, or the data used to test the models, is chronological, not pristine unseen fund data.

A news scan found the headline 'R91906 BlackBerry regime: above long trend, below intermediate trend, no high breakout'. The analysis of BlackBerry's stock trend is based on 931 daily bars from January 2023 to September 18, 2026, with a delayed cutoff of 403. The data comes from https://runway.adityaperswal.workers.dev/data/stock-bars. On September 18, the close was 7.99, the 20-day Simple Moving Average (SMA) was 7.851, the 50-day SMA was 8.5168, and the 200-day SMA was 6.1538. The Average True Range (ATR) for 20 days was 0.35762, and the Relative Volatility (RV) for 20 days was 56.0907%. The volume ratio was 1.49556, which is below the 1.5 threshold. The Wilder Relative Strength Index (RSI) for 14 days was 48.42092, and the 252-day high was 13.59. Since the stock is above the 200-day SMA but below the 50-day SMA and far below the high, the trend is mixed. The ratio of 1.4956 is below the 1.5 threshold, so it does not meet the criteria. The only event eligible for consideration is the issuer event on September 24, according to https://investors.blackberry.com/. In the 13 pre-event states, the correlations were: momentum (mom) 20 and distance 50, 0.838; RSI and distance 50, 0.876; and RSI and mom 20, 0.897. These redundant tape transforms are not independent votes. The trend can change at the same earnings, and the stop is on option 50% paid, with full premium at risk, not underlying ATR. There is no present breakout trade.

The issuer's first quarter revenue was $152.9 million, with $72.3 million from QNX, and a annual recurring revenue of $220 million, with a 92% dollar-based net retention rate, according to the source https://www.sec.gov/Archives/edgar/data/1070235/000107023526000071/q1fy27ex-991.htm. The first order effect is that stronger royalties, licensing, and collections will increase reported revenue and cash, while weaker renewals or customer production delays can hurt cash despite design wins. The second order effect is that sustained cash will fund research and development and customer qualification, and avoid using cash from the balance sheet for buybacks, but a cash shortfall will turn buybacks into asset depletion. The third order effect is that credible future cash will support a rerating and more platform investment, while weak conversion will compress the multiple and capacity to invest. These are conditional mechanisms, not measured causal prices. The collaborations with NVIDIA and Leapmotor mentioned in the issuer's release do not establish material counterpart earnings sensitivity, and there is no adjacent stock thesis. A strong counterargument is that one quarterly cash figure mixes working capital and seasonality, so a $10 million buyback minus $4.6 million operating cash flow is not proof of structural burn. An 80% absolute move cannot identify which branch occurs. There is no fund proposal.

A news scan found the headline 'R91906 BlackBerry cash conversion limits the growth narrative'. According to a June 25 SEC exhibit, in the first quarter of fiscal year 2027, BlackBerry's revenue was $152.9 million, which is a 26% increase. The revenue from QNX was $72.3 million, a 26% increase, and from Secure Communications was $73.6 million, a 24% increase. The company's EBITDA was $36.3 million and GAAP operating income was $15.3 million. The operating cash flow was $4.6 million, which is 12.67% of the adjusted EBITDA. The company repurchased $10 million in shares, exceeding the operating cash flow by $5.4 million, even before capital expenditures. The annual recurring revenue was $220 million, which is stable, and the dollar-based net retention rate was 92%, meaning that quarterly revenue growth cannot be seen as a sign of universal recurring customer expansion. The company has $422.9 million in cash and investments, which provides flexibility but does not set a floor for the stock price. The debt, leases, and dilution are not fully valued. For the second quarter, the company expects revenue of $137-148 million, EBITDA of $20-30 million, and operating cash flow of $0-10 million, compared to $100 million for the full year. Annualizing the first quarter results would be misleading. The company's prior direction was neutral, and to improve the upside thesis, it needs to show credible recurring cash and stronger retention. A licensing-driven beat without cash would weaken the thesis. The beneficiaries of this situation are license customers who use embedded software, management who benefits from adjusted growth optics, and shareholders who benefit from actual residual cash. A strong counterargument to a put is that the company's transformed positive cash business can lead to a re-rating. The strongest call objection is that a 26% historical growth rate is already disclosed and does not measure surprise. There is no valuation-derived target or directional probability that is justified. A catalyst is expected on September 24 at 8:00 EDT, according to the issuer's website.

A study of BlackBerry's earnings releases from June 2023 to June 2026 found that the median absolute close reaction was 9.1152815% and the 80th percentile was 12.832986%. The study used adjusted SIP bars to measure reactions to morning and evening release calls. The median reaction for the training period from 2011 to 2025 was 9.1153% and the 80th percentile was 12.6829%. The chronological holdout for 2026 had two reactions of +8.2153% and +19.9536%. A bootstrap analysis with 20,000 iterations and a seed of 91906 found that the 95% intervals for the median were 6.9860% to 12.6829% and for the 80th percentile were 10.0756% to 22.2767%. On September 18, the stock price was $7.99 and the put option bid was $0.06 and ask was $0.20, with a full premium of $20 and an expiry of 8 days after the September 24 issuer event. The hurdle rate was 14.893617% and the hypothetical put option downside intrinsic value was $0.03535558, which was 0.1767779 times the premium. Both gates failed, meaning that the absolute upward move could not pay for the put option. No affordable contract was found in the 230 retrieved snapshots from October 1 to November 6. The source of the data was https://runway.adityaperswal.workers.dev/data/option-chain/BB?feed=indicative. The price ceilings for the same stock price were negative for the $7 put option, $0.238311 for the $7.5 put option, and $0.133839 for the $8 put option, indicating that a potential nearer strike was only possible if the fresh price fell below the ceiling. Statistical eligibility is not the same as actual option expectancy, and there was no cash-pressure override.

The automated trading fund manager made a final decision to retain 100% cash. The decision was based on several premises. Firstly, the issuer confirmed the September 23 AMC results on September 2, which is valid. Secondly, the current ask price for the October 16 put option is $2.84, with a premium of $0.28, which is 2.8% of the equity. However, the break-even point is a 21.83% fall, which is higher than the median of 16.58% and the 80th percentile down payoff of 5.52%. The manager rejected both mandate branches. Thirdly, a put option at $0.13 would pass the gross test, but it is not available at the ask price. The best rejected ticket remains SFIX261016P00002500. Fourthly, a call option at $2.5 would cost $53, which is higher than the $30 cap. An out-of-the-money call option at $0.03 would require a 77.11% rise, with an 80th percentile payoff of zero. The manager also considered the cost of a 7-option diagnostic training gain and model volatility sensitivity, but it cannot be claimed as a validated net expectancy. Therefore, the manager chose to retain 100% cash. The market was also closed, which prohibits orders. The manager will monitor the market and may create an affordable probe if the conditions change. The manager will use the entire premium as risk and stop at 50% paid, with a target of 3x paid or defended 80th percentile payoff. The manager will hold through only if the price move is less than or equal to the realized median. If only the tail branch passes but the median fails, the manager will reconcile the pre-event exit rather than secretly changing the hold rule. The manager will not invent false fills or let stubs substitute for meaningful tails. The manager noted that the Friday indicative spread is $0.25, and there are execution gaps due to stale contract metadata. The manager will monitor the outcome on Monday at 09:50 and will collect prices every 240 minutes, with 36 runs passed. The manager will also review the issuer status via the web.

A news scan found the headline 'R91904 SFIX gap-bootstrap option paths: cheap limit odds remain regime-sensitive'. This refers to a type of financial analysis. The analysis is based on certain premises, including historical overnight gaps from observations 29367 to 76, and a specific stock price on September 18 and a put option price on October 16. The analysis uses 30,000 paths, or possible scenarios, and a volatility scenario seed of 91904. It also assumes a risk-free interest rate of 4 percent and zero stock drift, meaning the stock's price does not change over time. The analysis uses a type of option pricing model called BSM, which stands for Black-Scholes-Merton, a mathematical model used to estimate the value of a stock option. The model approximates the value of an American option, which can be exercised at any time, and uses a type of statistical analysis called NumPy. The results show that at a premium of 0.13, the mean dollar profit and loss is -5.2523, -2.5318, and 1.1347, and the stop percentage is 80.4167, 77.89, and 73.8533 percent. The analysis also shows that at a premium of 0.28, all results are negative, and at a premium of 0.11, the mean results are -3.2232, -0.5282, and 3.1574. The analysis includes fees of 1 USD round trip and 0.01 USD per share exit slippage, which refers to the difference between the expected price of a stock and the actual price. The data sources for the analysis are https://runway.adityaperswal.workers.dev/data/stock-bars and https://runway.adityaperswal.workers.dev/data/option-chain/SFIX?feed=indicative.

A news scan found the text describing the historical performance of a trading strategy for SFIX put options. The strategy was tested on 10 events from 2019 to 2026, using option bars from a specific data source. The rule for selecting options was to choose the nearest out-of-the-money put with a strike price in a $0.50 grid, with an exact-day trade and a monthly expiry at least 7 days past the event. The strategy was tested using a vectorbt portfolio with $1000, one contract, and cash sharing, with no concurrent events. The baseline spread and slippage were set at $0.02 per share and $0.50 per side, with a floor of $0.0001 per share for distressed sales. The results showed a gain of 5.05% for the first 5 events before 2026, with a maximum drawdown of 4.195166% and a win rate of 40%. The held-out events in 2026 showed a loss of 1.85%, with a drawdown of 1.85% and a win rate of 0%. The pooled results showed a gain of 3.20%, with a drawdown of 5.882353% and a win rate of 28.5714%. A sweep of $0.05 per side showed a gain of 2.90% for the training events and a loss of 2.20% for the held-out events. A sweep of $0.10 per side showed a gain of 5.45% for the training events and a loss of 3.20% for the held-out events. The results are based on actual historical trade marks and are not executable bid-ask history or actual validation. The conclusion is that the broad buy-cheap-puts earnings rule is not established, and the results should not be used to claim net option expectancy.

A news scan found the Q3 earnings report for Stitch Fix, which is available at https://investors.stitchfix.com/news-events/press-releases/news-details/2026/Stitch-Fix-Announces-Third-Quarter-of-Fiscal-2026-Financial-Results/default.aspx and the SEC 10Q filing at https://www.sec.gov/Archives/edgar/data/1576942/000162828026042504/sfix-20260502.htm. Based on these reports, the company has 2.309 million clients, revenue per active client of $578, and $229.4 million in cash. In the third quarter, the company bought back $15.1 million in shares, which is more than its free cash flow of $6.52 million. There are three key points to consider: first, when clients keep more items from their orders, it can increase sales, but high transportation and product costs can prevent the company from turning those sales into profits. Second, if the company is successful in offering products that clients want, it can strengthen its relationships with vendors and make better use of its warehouses, but if demand is weak, it can lead to inventory write-offs and increased shipping and return costs. No major supplier has reported significant exposure to Stitch Fix, so there is no impact on other stocks. Third, as long as the company continues to generate cash, it can sustain its share repurchases and potentially lead to a turnaround in the stock price, but if client retention is weak and the company continues to pay out cash, it can reduce its financial flexibility and increase the risk of downside losses. The fact that the company has a significant amount of cash provides protection for shareholders against the risk of bankruptcy. On the upside, an increase in earnings is not necessarily evidence of a short squeeze without data on short positions, which is not available. The beneficiaries of the company's success are clients, who get better value, vendors, who receive payment for their products, and shareholders, who receive cash after accounting for stock compensation and dilution. Management-adjusted metrics do not provide a complete picture of the company's performance. In conclusion, while there are both positive and negative scenarios for the company, there is no clear probability of either outcome. New sources confirm these mechanisms, but do not provide additional independent information.

The stock SFIX has completed a move on September 18 with a price of $2.84, which is below its 20-day moving average of $3.04725, 50-day moving average of $3.504, and 200-day moving average of $3.9037. The lowest price in the last 252 sessions was $2.81, while the highest was $5.94. Recently, the stock's volume was 2.015883 times its 20-session mean, with a 20-session return of -14.97006%. The Average True Range (ATR) over 20 sessions is $0.1217, which is 4.2852% of the stock's price, and the Relative Strength Index (RSI) over 14 sessions is 34.58576. The Realized Volatility (RV) over 20 sessions is 41.42043%. This data comes from a stock market analysis tool. Overall, the trend is weak with increased trading activity near the lows, but it does not meet the criteria for a high-volume 52-week high. The price, moving averages, and RSI are related and do not provide independent signals. The eligibility for an event is based solely on the issuer's announcement on September 23. It is worth noting that a low RSI can sometimes precede a significant earnings recovery, but this does not imply any specific direction. For this option, stops should not be used based on the stock's ATR, and the entire premium remains at risk. No technical strategy is being used, and no breakout result is being substituted for an earnings-option backtest.

The premises for Stitch Fix, or SFIX, are as follows: first, the company's baseline revenue for the third quarter, which ended on June 10, was $340.277 million, a 4.7% increase, with 2.309 million active users, a 0.9% increase from the previous quarter but a 1.9% decrease from the same quarter last year, and revenue per active user, or RPAC, was $578, a 6.6% increase. The company forecasts revenue of $322-327 million and EBITDA, which is earnings before interest, taxes, depreciation, and amortization, a measure of a company's overall financial performance, of $7-10 million for the fourth quarter. Second, the company's free cash flow, or FCF, which is the cash available after expenses, was $6.520 million, while repurchases, or the act of buying back the company's own shares, were $15.1 million, resulting in a payout of 2.316 times the free cash flow, with an excess of $8.58 million funded from the balance sheet. Third, the company's cash and investments of $229.4 million, with no debt, provide a cushion for a weak quarter but do not serve as a contractual floor for the stock price. Fourth, as of June 5, the company's shares were 133.425856 million, which, when combined with the September 2018 stock price of $2.84, implies an illustrative equity value of $378.929 million and an enterprise value, which is the total value of the company, of $149.529 million, excluding lease obligations, with a cash value of $1.719 per share, and a guided EBITDA midpoint of $50.5 million, resulting in an EV/EBITDA ratio, which is a measure of a company's value, of 2.961x. This information is based on data from June and September and is not a live valuation or liquidating value. Evidence for this information can be found at https://investors.stitchfix.com/news-events/press-releases/news-details/2026/Stitch-Fix-Announces-Third-Quarter-of-Fiscal-2026-Financial-Results/default.aspx and https://www.sec.gov/Archives/edgar/data/1576942/000162828026042504/sfix-20260502.htm. There are two counterarguments: one is that the company's profitable cash generation and retained liquidity support a renewed recovery, and the other is that the repurchases exceed cash creation and gross-margin pressure offsets ticket growth. The client metric measures accounts active over 52 weeks, which may include multiple accounts per person and is not the same as quarterly acquisition. Management benefits from highlighting adjusted EBITDA, but shareholders need to consider dilution and capital expenditures, or capex, cash bridge. No target can be inferred from the EBITDA multiple alone. The prior directional-neutral remains, meaning that the data allow for both positive and negative outcomes, and this is not an estimate of event surprise. A new guide, client, or free cash flow change may shift the downside probability materially, but this is only an honest prior and not calibrated. Valuation and information cannot rescue a contract that fails its price test.

A news scan found the headline 'R91904 SFIX ten-event distribution: affordable put fails ask, passes only near.13'. This refers to a study of the stock SFIX. The study is based on three main ideas: first, it looks at ten events related to AMC earnings from March 2024 to June 2026; second, it measures how the stock price changes from the day before an event to the day after; and third, it uses a specific method to adjust for daily changes. The study found that on September 18, the price of a put option, which is a type of financial contract, was.28. A put option is a contract that gives the buyer the right to sell a stock at a certain price. The study calculated that the median, or middle value, of price changes was 16.578014%, and the 80th percentile, or the value below which 80% of the data falls, was 31.413933%. The study concluded that the current price of the put option is too high and that it would be better to wait for a cheaper price. The study also found that only one out of ten events had a price change that exceeded the cost of the put option, and that the mean, or average, price change was.116659. The study used a method called bootstrapping to estimate the range of possible price changes, and found that the 95% confidence interval, or the range of values within which the true value is likely to fall, was 7.990075% to 30.251626% for the median, and 16.524823% to 44.347826% for the 80th percentile. The study also noted that the results are limited by the assumption that the data is independent and identically distributed, and that the soundness of the results has not been proven. The data used in the study can be found at https://runway.adityaperswal.workers.dev/data/option-chain/SFIX?feed=indicative and https://runway.adityaperswal.workers.dev/data/stock-bars.