This is an audit report for R92104 DSX managed payoff. The premises of the audit are as follows: the model preserves nine normalized 20-session paths and price, with a stop at $0.065 and a target at $0.39. The European Black-Scholes model is calibrated to an indicative mid price of $1.05, which gives an implied volatility of 49.352556% and an assumed rate of 4% with no dividend. The model also assumes a fixed 25-calendar-day decay over 20 daily checks. The bid price is calculated as the maximum of the Black-Scholes price minus half of the spread, or $0, with a $2 roundtrip friction. The exact equal weight baseline mean is -$7.09092, with 1 out of 9 targets and 8 out of 9 stops. The previous mean was -$7.05185, which was based on a finite 50,000 resampling and was not discrepant data. The model uses an IID bootstrap with 50,000 nine-path means, which gives a 95% interval of [-12.27064, +1.48562]. The baseline zero-half spread mean is -$0.30007. The model shows execution and sensitivity to the implied volatility and spread. A positive corner cannot be selected as reality. Under a conservative 3x exit versus full premium loss, with a $2 cost, a $13 premium yields a +24/-15 outcome, with a breakeven target probability of 38.4615%. On a $100 fund, the half Kelly must allocate $15, including cost, to fit one contract, with a binary target probability of 56.9231% required. This is an assumption threshold, not a forecast. At a $10 ticket, the threshold is 54.4%, and at a $15 ticket, the threshold is 58.9333%. The actual 50% stop can reduce loss, but gaps and spread can restore full loss. There are no own trades, and the prior 3,800 complete actual option paths remain unfilled evidence gap. The base model half Kelly is 0, and the endpoint 55.6% net wins estimate probability of hitting the target before the stop. The conclusion is that a positive managed size cannot be defended from this model, and a prompt live adjudication is preferred rather than a permanent model veto. A change in attainable quote or spread, or an explicitly defended exit-aware odds, is needed. The current account is $999.26, with a $49.963 premium maximum, total $100, and max 2. There is no research order. The synthetic threshold of $0.065 may differ from the broker stop. Sources include https://runway.adityaperswal.workers.dev/data/stock-bars, https://runway.adityaperswal.workers.dev/data/option-chain/DSX?feed=indicative, and https://alpaca.markets/support/options-pricing-increments-and-options-order-handling.
A news scan found the report of an automated trading fund manager. The manager's model, called R92102, looks at the stock DSX and decides whether to buy or sell. The model uses a European option pricing formula, called BSIV, which is 49.3526% at 25 calendar days with an interest rate of 4% and no dividends. The model also uses a different way of measuring volatility, called IV, which is 54.14%. The manager tested the model 50,000 times using historical data from 9 breakouts, starting with a seed number of 92102. The model looks at the price of the stock every day for 20 days and decides whether to buy or sell based on a daily bid model. The model's goal is to make a profit of $2 with a round trip friction of $2. The results show that the model's average profit is -$7.05185, with a win rate of 11.178% and a stop rate of 88.822%. The model also tested different volatility levels and found that the results are sensitive to changes in volatility. The manager notes that the model's results are hypothetical and do not reflect real-world execution. The model does not provide a positive expected value for the trade today. The manager will review the model's results on Monday and consider factors such as live bid and ask prices, actual stop triggers, and current financing costs. The model's results are based on 50,000 draws, but these are not independent events. The manager used data from https://runway.adityaperswal.workers.dev/data/stock-bars and https://runway.adityaperswal.workers.dev/data/option-chain/DSX?feed=indicative.
A news scan found the following information: Premises are based on a hypothetical scenario where the stock price of LW was $46.67 on Friday, September 18, with an ask price of $0.48 and a bid price of $0.33 for the October 16 option. The plan is to exit the position on October 5 before earnings, with a stop loss at $0.24 and a target price of $1.44. This scenario assumes a 4% interest rate, no dividends, and no early exercise, with a bid price equal to the midpoint minus $0.075 and a $2 roundtrip cost. The total variance is fitted to 0.405, split into normal variance and event variance. A 3-day block bootstrap is used to simulate non-event returns, with 50,000 paths and a seed of 92100, and 11 daily checks through October 5. The baseline mean is -$16.89, with a 15.76% chance of winning, a 75.54% chance of hitting the stop loss, and a 3.28% chance of hitting the target, and a 5% percentile of -$37.41 and a 95% percentile of $58.03. The event variance is 75% and 125%, with means of -$29.19 and -$5.78, respectively, and a half-Kelly sizing of 0 in all cases. This is an assumptions-based sensitivity analysis, not calibrated live odds or an attainable Monday entry. Monday quotes and remaining time require a refit. A quarter probe of $12 is impossible at a whole contract price of $48. A full premium of $48 represents 4.8% of equity and 48% of the fund, and two such tickets represent 9.6% of equity. A 50% stop does not cap gap loss. An event-jump counterfactual cannot justify a policy that exits first, and the model alone is not a permanent veto. The source of this information is https://runway.adityaperswal.workers.dev/data/stock-bars and /data/option-chain/LW?feed=indicative, with inputs and results from 31127.
A news scan found the following text: Premises: BB stock had a price of $8.99 and a call option price of $0.43 on October 2, with a strike price of $8.5. The event hurdle was 11.7647%, which is higher than the median of 9.1153%, so the pre-event exit was set for September 23. A European-call scenario was used, with a midpoint price of $0.405, an interest rate of 4%, and other parameters. A bootstrap simulation was run with 50,000 paths, using a seed of 92008, and the results were: a base mean of -$5.72, a win rate of 28.40%, a stop rate of 19.39%, a target rate of 0.998%, and a time exit rate of 79.61%. The estimated event variance was 75%/125% means of -$11.05 and -$0.94. The source of this data is https://runway.adityaperswal.workers.dev/data/stock-bars and /data/option-chain/BB?feed=indicative, with full observations from 30950 to 30951.
A news scan found the text: Premises for a simulation include buying on October 16 with a price of 40 and a stop loss at 50% of the option price, which is 0.24, and a target price of 1.44, which is three times the initial price, with a mandatory exit before the event on October 5. The model assumes a European put option with no dividend or early exercise, an interest rate of 4%, and a bid price that is the midpoint of the bid and ask prices minus 0.075, with a minimum of 0, and a round trip cost scenario of 2 dollars. The model was calibrated on September 18 to an indicative midpoint of 0.405, with a total variance of 0.01990934, a normal random variable of 0.261624, and a residual event variance of 0.01465860. The simulation used 50000 paths with a seed of 92006, and 247 non-event daily log returns, with 11 daily checks from September 21 to October 5, and actual calendar decay days of 3, 4, 5, 6, 7, 10, 11, 12, 13, 14, and 17. The results show a fixed remaining event variance base with a stop loss of 75.412%, a target of 3.236%, a time exit of 21.352%, a win rate of 15.878%, and a mean profit and loss of -16.7617 dollars, with a 5th percentile of -37.4095 dollars and a 95th percentile of 59.1994 dollars. The results also show that if the event variance is plus or minus 25%, the mean profit and loss would be -28.9965 dollars or -5.5714 dollars. The constant implied volatility base mean is -28.3786 dollars, and all six scenarios have a negative mean, with a numerical half Kelly of 0 and whole contracts of 0. The historical drift is estimated to be 0.000741 dollars per day, but this is not forecast, and the block resampling is not calibrated for 15-minute execution. The event-conditioned historical scaled paths all show modeled losses, with no targets, and the counterfactual hold through signed intrinsic mean is 3.2242 times the premium, with profits in 4 out of 11 cases, and losses in 7 out of 11 cases, with two cases in 2026 having losses of 50 dollars including assumed costs, which is prohibited at the current median hurdle and not traded expectancy. The full premium may be lost despite a 50% stop loss. The source of the data is https://runway.adityaperswal.workers.dev/data/stock-bars and /data/option-chain/LW?feed=indicative, and a separate live best bid and offer is needed, as well as an explicit OPRA 403.