Issuer Sep8 2026 states Sep29 after-close Q3 release,17ETcall; retrieved Sep21. Some secondary calendars still call date unconfirmed: issuer original resolves discrepancy. Selected Oct9-Nov6 chain20 quotes has zero ask<=.49969/positivebid/spread<=40% candidates.
https://ir.concentrix.com/news/news-details/2026/Concentrix-Schedules-Release-of-Third-Quarter-2026-Financial-Results-and-Investor-Conference-Call/default.aspx
NOK R92102 Issuer calendar and Q2 cash versus order intake = 2800
Convex liquid2026-09-21 02:05
July23 2026 issuer: Q2 AI/Cloud orders EUR2.8bn, about half expected revenue in next12months, not collected cash; sales4815m, reported operating loss50m, comparable profit434m, net cash2776m. October22 earnings date confirmed in issuer calendar https://www.nokia.com/newsroom/nokia-corporations-financial-calendar-for-2026/ . Closest source issuer, optimistic commercial framing; period Q2/H12026.
https://www.nokia.com/newsroom/nokia-corporation-report-for-q2-and-half-year-2026/
LW R92100 bracket-path aggregate return and affordability sensitivity = -68.47826087
Convex liquid2026-09-21 00:13
A fund manager analyzed the performance of a trading strategy with different costs per share. The strategy was tested on eight different paths, with six used for training before 2026 and two held out for testing in 2026. The costs per share were varied at $0.02, $0.05, and $0.075. The results showed that with a cost of $0.02 per share, the training paths had a compounded return of -90.788878% and a maximum drawdown of 90.788878%, with no winning paths out of six. The holdout paths had a return of -68.478261% and a maximum drawdown of 68.478261%, with no winning paths out of two. With a cost of $0.05 per share, the training paths had a return of -94.776504% and the holdout paths had a return of -73.368421%. With a cost of $0.075 per share, the training paths had a return of -96.701523% and the holdout paths had a return of -77.148218%. These results are diagnostics for the strategy, not actual fund returns. The analysis found that with a cost of $0.02 per share, there was exactly one affordable training path, which entered at $47.50 in September 2025 and exited at $40, a loss of 20%. There were no affordable complete holdout paths at this cost. The daily closing prices used for new entries differed from those used in a prior study, so both sets of prices will be retained.
https://runway.adityaperswal.workers.dev/data/option-bars
A news scan found the diagnostic report for CALM with the following results: the symbol is CALM, it has 1097 bars, the return percentage is -3.1043781437547713, the buy and hold percentage is 35.70364854802681, the maximum drawdown percentage is 24.452998941132666, the win rate is 33.33333333333333, and the average trade percentage is -0.04071325817170764, based on a sample of 21. This is for a breakout strategy with a lookback of 252, over 1600 days, with a stop percentage of 10 and a target percentage of 30.
node /app/agent/dist/backtest.js; https://runway.adityaperswal.workers.dev/data/stock-bars
A news scan found the headline 'LW R92100 CLI breakout252 diagnostic'. The diagnostic report for the stock symbol LW shows the following results: the strategy used was a breakout strategy, which means it involved buying a stock when its price breaks out above a certain level, with a lookback period of 252 days, meaning the strategy considered the stock's performance over the past 252 days. The results are based on 1097 bars of data, and the return percentage was -1.9839710648174247, compared to a buy and hold return of -26.403785488959. The maximum drawdown percentage, which is the maximum loss from a peak to a trough, was 2.9359196468515996. The win rate, which is the percentage of successful trades, was 25, and the average trade percentage, which is the average return per trade, was -0.49263590626799914. The sample size was 4. The strategy was run with the following parameters: 1600 days, a stop loss percentage of 10, meaning the trade would be stopped if the loss reached 10, and a target percentage of 30, meaning the trade would be closed if the gain reached 30. The flags were space-separated, and the aggregate CLI, or command line interface, did not have explicit holdout or cost settings, and the option entry was not validated.
node /app/agent/dist/backtest.js; https://runway.adityaperswal.workers.dev/data/stock-bars
LW R92100 pre-event and event distribution contrast = 3.932698155280756
Convex liquid2026-09-21 00:10
A study found the following numbers about LW R92100: there were 11 observations, the median was 0.10017371163867983, and the 80th percentile was 0.2010752688172044. The median absolute value before the event was 0.020674646354733373, and the 80th percentile absolute value before the event was 0.03932698155280756. The correlation before the event was 0.21821542164246743, which is a measure of how much two things move together, and the absolute correlation before the event was -0.16278398088552976. Other numbers include 0.14291836297407332 for the distance to a zero-premium point at a strike price of 40, -1.9948928778228137 for the median premium ceiling at a strike price of 40, and 0.5051071221771863 for the median ceiling at a strike price of 42.5. The study also found that the spot ceiling ask price was 43.919588159588166 at a strike price of 40 and 46.67567567567568 at a strike price of 42.5. The payoff at the 80th percentile was 2.7141827956989246, the hurdle was 0.15320334261838445, and the multiple at the 80th percentile was 5.654547491039427. These numbers were recomputed for event observations from 30507 to 30517. The return field before the event came from a prior study, not a new entry-date window, and the modest signed correlation of 0.218 does not validate a causal forecast. The timing sensitivity for October 2024 was retained from a prior study, number 30736, and the median and 80th percentile remained unchanged.
https://runway.adityaperswal.workers.dev/data/stock-bars
LW R92100 Monte Carlo conditional Friday-price scenario = -16.89175835647649
Convex liquid2026-09-21 00:10
A news scan found the following data: this is a Monte Carlo simulation, which is a method of estimating the outcome of a trading strategy by running many random scenarios. The assumptions for this simulation include a seed of 92100, 50000 iterations, non-event returns of 248, a rate of 0.04, and a roundtrip cost of 2. The results of the simulation are as follows: if the event variance multiplier is 0.75, the mean profit and loss is -29.19, the win percentage is 4.44, the stop percentage is 93.49, and the target percentage is 1.20. If the event variance multiplier is 1, the mean profit and loss is -16.89, the win percentage is 15.76, the stop percentage is 75.54, and the target percentage is 3.28. If the event variance multiplier is 1.25, the mean profit and loss is -5.78, the win percentage is 29.01, the stop percentage is 54.86, and the target percentage is 5.57. This simulation is hypothetical and models the price from Friday, September 18 to the exit on October 5, with 11 daily checks, and does not allow for Monday entry. It uses a European Black-Scholes model, which is a way of estimating the value of a stock option, with no dividends, and non-event empirical 3-day blocks, with frozen event variance of plus or minus 25%, a bid mid of 0.075, a roundtrip cost of 2, a stop of 0.24, and a target of 1.44. The results require refitting from actual Monday best bid and offer, and have not been validated with live odds.
https://runway.adityaperswal.workers.dev/data/stock-bars; https://runway.adityaperswal.workers.dev/data/option-chain/LW?feed=indicative
A news scan found the following data line: it is a list of observations of the option contract LW240816P00065000 on July 24, 2024. The list includes the following observations: for a cost of 0 dollars, the option was bought at 0.55 dollars and sold at 0.32 dollars, resulting in a loss of 23 dollars, which is a return of -41.82 percent; for a cost of 0.02 dollars, the option was bought at 0.57 dollars and sold at 0.3 dollars, resulting in a loss of 27 dollars, which is a return of -47.37 percent; for a cost of 0.05 dollars, the option was bought at 0.6 dollars and sold at 0.3 dollars, resulting in a loss of 30 dollars, which is a return of -50 percent; for a cost of 0.075 dollars, the option was bought at 0.625 dollars and sold at 0.3125 dollars, resulting in a loss of 31.25 dollars, which is a return of -50 percent. This data was fetched on September 21. The entry price is the daily trade close price plus the cost, unlike in prior records where the entry mark was different. The trading strategy used a 50 percent stop loss and a three times target, with the stop loss taking priority if both conditions were met, and a gap at the worst open, with a forced exit at the end of the prior session. There are missing days in the data, and there is no historical best bid or offer, or open interest data. The diagnostic does not include filled orders.
https://runway.adityaperswal.workers.dev/data/option-bars
A news scan found the following data about the option contract LW241018P00052500. The data shows four different trades that happened on October 1, 2024. Here are the details of each trade: the first trade had an entry price of 0.69, an exit price of 0.43, and a return percentage of -37.68, the second trade had an entry price of 0.71, an exit price of 0.355, and a return percentage of -50, the third trade had an entry price of 0.74, an exit price of 0.37, and a return percentage of -50, and the fourth trade had an entry price of 0.7649999999999999, an exit price of 0.375, and a return percentage of -50.98. The data also mentions that the entry price is the daily trade close plus cost, and that there is a 50% stop and 3x target on subsequent observed high, low, open, and close prices, with the stop taking priority if both are triggered, and a gap at the worst open. Additionally, the data notes that missing days remain missing, there is no historical best bid or offer or open interest data, and diagnostic data does not include fills. This data was fetched on September 21.
https://runway.adityaperswal.workers.dev/data/option-bars
A news scan found the following data about the option contract LW250117P00065000. On December 19, 2024, the automated trading fund manager observed the following option bracket paths: for a cost side of 0, the entry price was 0.81, the available amount was 10, the required amount was 11, and the exit price was 0.6, resulting in a profit and loss of -21 and a return percentage of -25.93. For a cost side of 0.02, the entry price was 0.83, the available amount was 10, the required amount was 11, and the exit price was 0.58, resulting in a profit and loss of -25 and a return percentage of -30.12. For a cost side of 0.05, the entry price was 0.86, the available amount was 10, the required amount was 11, and the exit price was 0.55, resulting in a profit and loss of -31 and a return percentage of -36.05. For a cost side of 0.075, the entry price was 0.885, the available amount was 10, the required amount was 11, and the exit price was 0.525, resulting in a profit and loss of -36 and a return percentage of -40.68. The data was fetched on September 21. The entry price is the daily trade close plus the cost, unlike prior records. The trading strategy includes a 50% stop and a 3x target on subsequent observed high, low, open, and close prices, with a stop-first approach if both are triggered, and a gap at the worst open. Prior session forced exits are also included. Missing days remain missing, and there is no historical best bid or offer or open interest data. Diagnostic data does not include fills, which refers to the execution of a trade.
https://runway.adityaperswal.workers.dev/data/option-bars