Notes

A September 17 agreement has sections 7.1, 7.3, and 7.4 that outline the terms of contract termination. If the company terminates the contract, they must pay a fee of 27,514,109 USD. A qualifying go-shop proposal, which is a process where a company seeks out better offers, is considered superior if it is at least 50% of the original proposal, which would be 13,757,054.50 USD. In certain circumstances, a parent company fee of 49,869,322 USD would be paid. The outside date, which is the last date a deal can be made, is June 17, 2027, in New York, but this can be extended to September 15, 2027, if regulatory approval is needed. This does not mean the contract will automatically expire in October or that shareholders will automatically receive cash. https://www.sec.gov/Archives/edgar/data/1436126/000114036126037107/ef20082419_ex2-1.htm

An announcement was made on September 18, 2026, regarding an agreement dated September 17, 2026. H.I.G. affiliates have made a cash offer of $20.35 per share, which values the enterprise at $866 million, including debt, and has the support of 31% of the stakeholders. The acquisition is expected to close in late 2026 or early 2027, subject to certain conditions. A go-shop period, which allows the company to consider other bids, will end on October 27, 2026, at 23:59 ET. There is no assurance that a competing bid will be made. The issuer's website header on September 17, 2026, conflicts with the announcement dateline, and the first public minute of the agreement is unverified. https://www.sec.gov/Archives/edgar/data/1436126/000114036126037107/ef20082419_ex99-1.htm

A diagnostic report for the stock symbol DSX shows the following results over 1028 bars: a return percentage of -28.066166908777856, a buy and hold percentage of -43.69287020109689, a maximum drawdown percentage of 32.981704518599855, a win rate of 19.298245614035086, and an average trade percentage of -0.5222162834973375. This is based on a 1500-day period with a 20-day lookback, a 5% stop, and a 15% target, without isolated holdout and not including option profit and loss. https://runway.adityaperswal.workers.dev/data/stock-bars

A news scan found the following data line for MG: symbol MG, 1028 bars, return percentage 10.494775296119062, buy and hold percentage 231.2051077414206, max drawdown percentage 23.656327062347124, win rate 36.58536585365854, average trade percentage 0.19383250662725013. This is a diagnostic for a 1500 days, 20 lookback, 5 percent stop, 15 percent target, with no isolated holdout and not an option profit and loss. https://runway.adityaperswal.workers.dev/data/stock-bars

A news scan found the following data line for the stock symbol HZO: it had 1028 bars, a return percentage of -46.71403962853199, a buy and hold percentage of 28.393250183418917, a maximum drawdown percentage of 47.422179853250555, a win rate of 24.193548387096776, and an average trade percentage of -0.948066028128663. This data is for a 1500 day period with a 20 day lookback, a 5 percent stop, and a 15 percent target, without isolated holdout, and not including option profit and loss. https://runway.adityaperswal.workers.dev/data/stock-bars

A diagnostic report for TRMD shows the following results over 1028 bars: a return percentage of 65.51677329623679, a buy and hold percentage of 105.20386266094421, a maximum drawdown percentage of 18.46015381687281, a win rate of 38.666666666666664, and an average trade percentage of 0.6823193561589996. This is based on a 1500-day period with a 20-day lookback, a 5% stop, and a 15% target, without isolated holdout and not including option profit and loss. https://runway.adityaperswal.workers.dev/data/stock-bars

A news scan found the following data line for COST: symbol is COST, it has 1028 bars, return percentage is 3.047723696128668, buy and hold percentage is 64.12499770965792, maximum drawdown percentage is 9.071912587169466, win rate is 36.144578313253014, and average trade percentage is 0.05199952912495964. This data is for a 1500 day period with a 20 day lookback, 5 percent stop, and 15 percent target, without isolated holdout, and not including option profit and loss. https://runway.adityaperswal.workers.dev/data/stock-bars

A news scan found the following data line: a terminal intrinsic bootstrap for COST R92102 with 100000 paths, a mean of -20.0, a median of -20.0, a loss percentage of 100.0, a terminal 3 times percentage of 0.0, and a maximum sample move percentage of 6.070161995422074. The note also mentions a premium of 0.18, friction of 0.02, 9 signed moves, and states it is not an option price or path stop. https://runway.adityaperswal.workers.dev/data/stock-bars

A news scan found the headline about COST R92102 earnings vectorbt holdout grid. The stock notional value is 29 USD and the book value is 999.38. The fees are 10 basis points, which is a measure of the cost of buying or selling a stock, and the first 6 are used for training and the latest 3 are used for testing, with only proxy data used. The results are as follows: [{"era": "train", "lead": 3, "slippage": 0.001, "return_pct": -0.15007738028775322, "drawdown_pct": 0.21803904195506485, "win_rate_pct": 16.666666666666664, "n": 6}, {"era": "test", "lead": 3, "slippage": 0.001, "return_pct": -0.2699585671709049, "drawdown_pct": 0.2699585671709359, "win_rate_pct": 0.0, "n": 3}, {"era": "train", "lead": 3, "slippage": 0.005, "return_pct": -0.28904167896449545, "drawdown_pct": 0.32199913026118576, "win_rate_pct": 16.666666666666664, "n": 6}, {"era": "test", "lead": 3, "slippage": 0.005, "return_pct": -0.3386602565412006, "drawdown_pct": 0.33866025654120113, "win_rate_pct": 0.0, "n": 3}, {"era": "train", "lead": 5, "slippage": 0.001, "return_pct": -0.1437082247188003, "drawdown_pct": 0.22270132265853615, "win_rate_pct": 16.666666666666664, "n": 6}, {"era": "test", "lead": 5, "slippage": 0.001, "return_pct": -0.3988266546642137, "drawdown_pct": 0.3988266546642527, "win_rate_pct": 0.0, "n": 3}, {"era": "train", "lead": 5, "slippage": 0.005, "return_pct": -0.28269802551994344, "drawdown_pct": 0.3266682588568992, "win_rate_pct": 16.666666666666664, "n": 6}, {"era": "test", "lead": 5, "slippage": 0.005, "return_pct": -0.46701235569619703, "drawdown_pct": 0.4670123556961503, "win_rate_pct": 0.0, "n": 3}]. https://runway.adityaperswal.workers.dev/data/stock-bars

A news scan found the headline '100000 bootstrap seed 92102'. This refers to a type of statistical analysis, where a seed is a starting point for random number generation. The analysis used historical daily close paths, a BSM put mark, which is a type of financial model, with a 4% assumed rate, over 28 days, using a linear calendar clock, and an IV mult/spread grid, which refers to a way of measuring volatility and the difference between two prices. The analysis had a 50% stop and an 80% target, but did not use actual option profit and loss. The results were as follows: for the symbol 'MG', with an implied sigma of 0.17884537357194014, the analysis found different results for different combinations of ivmult, which is a multiplier for volatility, and spread, which is the difference between two prices. The combinations were: ivmult 1 and spread 0.025, ivmult 1 and spread 0.05, ivmult 1.25 and spread 0.01, ivmult 1.25 and spread 0.025, and ivmult 1.25 and spread 0.05. For each combination, the analysis found a mean, a loss percentage, a stop count, a target count, and a list of profits. For example, for ivmult 1 and spread 0.025, the mean was 16.89975913218041, the loss percentage was 83.22699999999999, the stop count was 5, the target count was 1, and the profits were -10.487439275592743, 156.0, -11.651387059355264, -13.040634745334318, -10.669147306789824, and -9.813925472892434. https://runway.adityaperswal.workers.dev/data/stock-bars

A news scan found the headline '100000 bootstrap seed 92102'. This refers to a test of a trading strategy using historical daily close paths, with a 4% assumed rate and 28 days on a linear calendar clock. The test used a grid of implied volatility multipliers and spreads. The strategy had a 50% stop loss and an 80% target. The results are not actual option profits and losses. The test results for the symbols DSX and MG are as follows: for DSX, the implied sigma was 0.5449134282406624, the implied volatility multiplier was 1.25, the spread was 0.05, and the mean profit was -5.866598958473888, with a loss percentage of 87.628, 7 stop losses, and 0 target hits, with profits of -13.295003587820547, -15.0, -10.418036898200327, 32.69188191881921, -9.56297680121822, -10.24394405498607, -8.958776899994886, and -11.70430121630736. For MG, with an implied sigma of 0.17884537357194014, the results were: with an implied volatility multiplier of 0.75 and a spread of 0.01, the mean profit was -11.50250971873304, with a loss percentage of 100.0, 6 stop losses, and 0 target hits, with profits of -13.051438723519313, -9.460045465526399, -13.57993538721611, -10.865012489317403, -9.413242117511986, and -12.674047996733359. With the same implied volatility multiplier and a spread of 0.025, the mean profit was -11.778695014280766, with a loss percentage of 100.0, 6 stop losses, and 0 target hits, with profits of -13.999999999999998, -10.960045465526399, -13.999999999999998, -12.365012489317403, -10.913242117511986, and -8.439856303112322. With a spread of 0.05, the mean profit was -10.828953869077344, with a loss percentage of 100.0, 6 stop losses, and 0 target hits, with profits of -13.999999999999998, -13.460045465526399, -8.894810995121155, -9.332260852088009, -8.279453062381364, and -10.939856303112322. With an implied volatility multiplier of 1 and a spread of 0.01, the mean profit was 18.148164132180412, with a loss percentage of 83.22699999999999, 5 stop losses, and 1 target hit, with profits of -8.987439275592743, 156.0, -10.151387059355264, -11.54063474533432, -9.169147306789824, and -8.313925472892434. https://runway.adityaperswal.workers.dev/data/stock-bars

A news scan found the headline about a 100000 bootstrap seed 92102. This refers to a test of 100,000 scenarios using a specific starting point, or seed, identified as 92102. The test used historical daily close paths, a BSM put mark, which is a type of financial model, with a 4% assumed rate, over 28 days, using a linear calendar clock, and an IV mult/spread grid, which refers to a table of implied volatility multiples and spreads. The test had a 50% stop and an 80% target, but did not use actual option profit and loss. The results were as follows: for the symbol DSX, with an implied sigma of 0.5449134282406624, the test was run with different parameters, including ivmult of 1, spread of 0.025, and ivmult of 1.25, spread of 0.01, and ivmult of 1.25, spread of 0.025. The results included mean values, loss percentages, stop counts, target counts, and profits for each scenario. For example, with ivmult of 1 and spread of 0.025, the mean was -10.879627951510546, the loss percentage was 100.0, the stop count was 8, the target count was 0, and the profits were [-13.857321369017644, -15.0, -9.325795991079218, -8.664272696594862, -8.662420366396379, -9.163983664169358, -9.953839759855628, -12.410010811648583]. https://runway.adityaperswal.workers.dev/data/stock-bars

A news scan found the headline '100000 bootstrap seed 92102'. This refers to a test of 100,000 bootstrap simulations with a seed of 92102. The test used historical daily close paths and a Black-Scholes model, or BSM, which is a mathematical model used to estimate the value of a call option or a put option. The test assumed a 4% interest rate and a 28-day time period, with a linear calendar clock, which is a way of measuring time. The test also used an implied volatility, or IV, multiplier and spread grid, which are tools used to estimate the volatility of a security. The test had a 50% stop loss and an 80% target, which are limits on the amount of money that can be lost or gained. The results of the test are as follows: for the symbol DSX, with an implied sigma of 0.5449134282406624, the test results were: with an IV multiplier of 0.75 and a spread of 0.01, the mean loss was -11.75671077402723, with a 100% loss percentage, 8 stop losses, and 0 target hits, and profits of -14.665339736224889, -15.0, -9.426704365062509, -10.339416060100758, -10.978928087599936, -11.266769272983122, -8.73253566173334, -13.63960793171994; with an IV multiplier of 0.75 and a spread of 0.025, the mean loss was -11.615190558958329, with a 100% loss percentage, 8 stop losses, and 0 target hits, and profits of -15.0, -15.0, -8.639189374026586, -9.58115069005205, -12.478928087599934, -12.766769272983119, -9.983484262927107, -9.443053758861938; with an IV multiplier of 0.75 and a spread of 0.05, the mean loss was -11.823314171943972, with a 100% loss percentage, 8 stop losses, and 0 target hits, and profits of -15.0, -10.899883272777961, -11.139189374026587, -10.107129826647926, -14.978928087599932, -9.462176869273915, -12.483484262927108, -10.454661372796654; with an IV multiplier of 1 and a spread of 0.01, the mean loss was -5.075137527188443, with an 87.628% loss percentage, 7 stop losses, and 1 target hit, and profits of -12.357321369017647, -14.889889774470005, -9.748698924315123, 36.0, -9.291506551614912, -9.672402987593896, -9.263364134631567, -10.910010811648583. https://runway.adityaperswal.workers.dev/data/stock-bars

A news scan found the following data: Optimize empirical log wealth over 0 to 0.99 fractions then half. The current premiums are 0.02 cost, target cap, and haircut, but the live odds are not calibrated. The data includes the following list of items: a list of 7 items about the symbol TRMD, which is a type P, with different premiums, targets, haircuts, mean net, half Kelly USD, quantity, positive, and n values. The list includes the following items: TRMD with k 32.5, premium 0.33, target 1.5170240521810037, haircut 0.25, mean net -35.0, halfKelly USD 0.0, qty 0, positive 0, n 11, and other similar items with different premiums, targets, and haircuts. https://runway.adityaperswal.workers.dev/data/stock-bars

The system optimizes empirical log wealth over fractions from 0 to 0.99, then halves them. It considers current premiums plus a 0.02 cost, target cap, and haircut, but notes that live odds are not calibrated. The system provides data on the following symbols: DSX and TRMD. For each symbol, it lists the type, which is either a call, referred to as C, or a put, referred to as P, the k value, premium, target, haircut, mean net, half Kelly USD, quantity, positive, and n. The data is as follows: for DSX, the type is C, k is 3, premium is 0.28, targets are 0.8400000000000001 and 0.7346525573356999, haircuts are 0, 0.25, and 0.5, mean nets are -15.093768926776097, -20.062512617850732, -10.125025235701463, and -15.093768926776097, half Kelly USD is 0.0, quantities are 0, positives are 2, 1, 3, and 2, and n is 8. For TRMD, the type is P, k is 32.5, premium is 0.33, targets are 0.99 and 1.5170240521810037, haircuts are 0, 0.25, and 0.5, mean nets are -35.0, half Kelly USD is 0.0, quantities are 0, positives are 0, and n is 11. https://runway.adityaperswal.workers.dev/data/stock-bars

The system optimizes empirical log wealth over fractions from 0 to 0.99, then halves them. It considers current premiums plus a 0.02 cost, target cap, and haircut, but notes that live odds are not calibrated. The system provides data on several symbols, including MG and DSX, with details on type, k value, premium, target, haircut, mean net, half Kelly USD, quantity, positive value, and number of data points. The data includes: a symbol MG with type P, k 20, premium 0.27, target 1.702272727272728, haircut 0.5, mean net -14.814393939393936, halfKelly_USD 0.0, qty 0, positive 1, and n 6; and multiple entries for symbol DSX with varying parameters. https://runway.adityaperswal.workers.dev/data/stock-bars

A news scan found the following data: Optimize empirical log wealth over 0 to 0.99 fractions then half. Current premiums are 0.02 cost, target cap and haircut, but not calibrated live odds. The data includes the following list of items: [{"symbol": "MG", "type": "C", "k": 22.5, "premium": 0.18, "target": 0.702272727272728, "haircut": 0, "mean_net": 1.3286799748223908, "halfKelly_USD": 14.890762, "qty": 0, "positive": 2, "n": 6}, {"symbol": "MG", "type": "C", "k": 22.5, "premium": 0.18, "target": 0.702272727272728, "haircut": 0.25, "mean_net": -4.003490018883206, "halfKelly_USD": 0.0, "qty": 0, "positive": 2, "n": 6}, {"symbol": "MG", "type": "C", "k": 22.5, "premium": 0.18, "target": 0.702272727272728, "haircut": 0.5, "mean_net": -9.335660012588804, "halfKelly_USD": 0.0, "qty": 0, "positive": 2, "n": 6}, {"symbol": "MG", "type": "P", "k": 20, "premium": 0.27, "target": 0.81, "haircut": 0, "mean_net": -15.500000000000004, "halfKelly_USD": 0.0, "qty": 0, "positive": 1, "n": 6}, {"symbol": "MG", "type": "P", "k": 20, "premium": 0.27, "target": 0.81, "haircut": 0.25, "mean_net": -18.875000000000007, "halfKelly_USD": 0.0, "qty": 0, "positive": 1, "n": 6}, {"symbol": "MG", "type": "P", "k": 20, "premium": 0.27, "target": 0.81, "haircut": 0.5, "mean_net": -22.250000000000004, "halfKelly_USD": 0.0, "qty": 0, "positive": 1, "n": 6}, {"symbol": "MG", "type": "P", "k": 20, "premium": 0.27, "target": 1.702272727272728, "haircut": 0, "mean_net": -0.6287878787878693, "halfKelly_USD": 0.0, "qty": 0, "positive": 1, "n": 6}, {"symbol": "MG", "type": "P", "k": 20, "premium": 0.27, "target": 1.702272727272728, "haircut": 0.25, "mean_net": -7.721590909090903, "halfKelly_USD": 0.0, "qty": 0, "positive": 1, "n": 6}]. https://runway.adityaperswal.workers.dev/data/stock-bars

The goal is to optimize the empirical log wealth over fractions from 0 to 0.99, then take half of that. The current premiums are increased by 0.02 for costs, and the target and haircut are considered, but live odds are not calibrated. A list of results for the symbol MG is provided, including the type, k value, premium, target, haircut, mean net, half Kelly USD, quantity, positive value, and number of data points. The list includes the following entries: for type P with k 20, premium 0.12, target 0.36, and haircut 0, 0.25, and 0.5, and for type P with k 20, premium 0.12, target 1.702272727272728, and haircut 0, 0.25, and 0.5, and for type C with k 22.5, premium 0.18, target 0.54, and haircut 0, 0.25, and 0.5. The results are: [{symbol: MG, type: P, k: 20, premium: 0.12, target: 0.36, haircut: 0, mean_net: -8.0, halfKelly_USD: 0.0, qty: 0, positive: 1, n: 6}, {symbol: MG, type: P, k: 20, premium: 0.12, target: 0.36, haircut: 0.25, mean_net: -9.499999999999998, halfKelly_USD: 0.0, qty: 0, positive: 1, n: 6}, {symbol: MG, type: P, k: 20, premium: 0.12, target: 0.36, haircut: 0.5, mean_net: -10.999999999999998, halfKelly_USD: 0.0, qty: 0, positive: 1, n: 6}, {symbol: MG, type: P, k: 20, premium: 0.12, target: 1.702272727272728, mean_net: 14.371212121212142, halfKelly_USD: 45.97148, qty: 2, positive: 1, n: 6}, {symbol: MG, type: P, k: 20, premium: 0.12, target: 1.702272727272728, haircut: 0.25, mean_net: 7.278409090909101, halfKelly_USD: 31.98016, qty: 2, positive: 1, n: 6}, {symbol: MG, type: P, k: 20, premium: 0.12, target: 1.702272727272728, haircut: 0.5, mean_net: 0.18560606060606666, halfKelly_USD: 1.2991940000000002, qty: 0, positive: 1, n: 6}, {symbol: MG, type: C, k: 22.5, premium: 0.18, target: 0.54, haircut: 0, mean_net: -1.9999999999999962, halfKelly_USD: 0.0, qty: 0, positive: 2, n: 6}, {symbol: MG, type: C, k: 22.5, premium: 0.18, target: 0.54, haircut: 0.25, mean_net: -6.4999999999999964, halfKelly_USD: 0.0, qty: 0, positive: 2, n: 6}, {symbol: MG, type: C, k: 22.5, premium: 0.18, target: 0.54, haircut: 0.5, mean_net: -10.999999999999996, halfKelly_USD: 0.0, qty: 0, positive: 2, n: 6}]. https://runway.adityaperswal.workers.dev/data/stock-bars

A news scan found the following data line: Full premium loss assumes all non-target outcomes are a full loss and ignores partial profits. Distributional Kelly supersedes. The data includes two entries: one with a premium of 0.33 and another with a premium of 0.29. The details are as follows: [{ https://runway.adityaperswal.workers.dev/data/stock-bars

The fund started with a notional value of 29 USD and a book value of 999.38. It had fees of 10 basis points and a stated slippage. The test period was in 2026, and the training period was before 2026. The next entry will be at the open. The performance metrics are as follows: a list of performance metrics for different scenarios, including training and test periods, with variables such as horizon, slippage, return percentage, drawdown percentage, win rate percentage, and the number of trades. The list includes eight scenarios with different combinations of these variables, with return percentages ranging from -0.279 to 1.432, and win rates ranging from 33.33 to 66.67 percent. The specific scenarios are: [{"era": "train", "horizon": 10, "slippage": 0.001, "return_pct": 0.4147120267549946, "drawdown_pct": 0.4905312867935496, "win_rate_pct": 50.0, "n": 8}, {"era": "test", "horizon": 10, "slippage": 0.001, "return_pct": -0.21039857843464668, "drawdown_pct": 0.6415799693741508, "win_rate_pct": 66.66666666666666, "n": 3}, {"era": "train", "horizon": 10, "slippage": 0.005, "return_pct": 0.22696457266159242, "drawdown_pct": 0.4905882189750521, "win_rate_pct": 50.0, "n": 8}, {"era": "test", "horizon": 10, "slippage": 0.005, "return_pct": -0.27933874623831983, "drawdown_pct": 0.6630711163751912, "win_rate_pct": 66.66666666666666, "n": 3}, {"era": "train", "horizon": 20, "slippage": 0.001, "return_pct": 1.4323842035289114, "drawdown_pct": 0.9309545045297796, "win_rate_pct": 37.5, "n": 8}, {"era": "test", "horizon": 20, "slippage": 0.001, "return_pct": 0.04021303445797942, "drawdown_pct": 0.6519125868321596, "win_rate_pct": 33.33333333333333, "n": 3}, {"era": "train", "horizon": 20, "slippage": 0.005, "return_pct": 1.2405619859649435, "drawdown_pct": 0.9768486098467255, "win_rate_pct": 37.5, "n": 8}, {"era": "test", "horizon": 20, "slippage": 0.005, "return_pct": -0.02973058324716574, "drawdown_pct": 0.6521517506618335, "win_rate_pct": 33.33333333333333, "n": 3}]. https://runway.adityaperswal.workers.dev/data/stock-bars

A news scan found the headline about a split-only event for TRMD R92102 preferred stock. The event had a fixed 20 session reaction with spacing, where the stock price was more than 20 times the mean and had a volume of more than $2 million, with no options profit or loss. The reactions were recorded on the following dates: April 18, 2022, with a move of 0.25828460038986356 and an index of 1044, May 25, 2022, with a move of -0.04748603351955305 and an index of 1071, July 26, 2022, with a move of 0.3247863247863245 and an index of 1112, September 14, 2022, with a move of -0.09247787610619462 and an index of 1147, October 17, 2022, with a move of 0.17686787674124083 and an index of 1170, February 14, 2023, with a move of -0.013055641902393611 and an index of 1252, May 14, 2024, with a move of -0.06802721088435382 and an index of 1565, July 22, 2024, with a move of -0.032022188603126445 and an index of 1611, January 28, 2026, with a move of 0.18956379942927026 and an index of 1992, February 26, 2026, with a move of -0.06819739547635362 and an index of 2012, and April 28, 2026, with a move of -0.06725054738817637 and an index of 2054. https://runway.adityaperswal.workers.dev/data/stock-bars

A news scan found the following data for TRMD: the symbol is TRMD, the number of items is 11, the median is 0.06819739547635362, and the 80th percentile is 0.18956379942927026. Technical indicators include a close price of 38.23, a 50-day Simple Moving Average, or SMA50, of 31.416700000000002, a 200-day Simple Moving Average, or SMA200, of 27.970475, an Average True Range, or ATR20, of 1.3284200000000004, and a Relative Strength Index, or RSI14, of 82.50289687137887. https://runway.adityaperswal.workers.dev/data/stock-bars

A news scan found the following data line: Full premium loss assumes all non-target outcomes are a full loss and ignores partial profits, distributional Kelly supersedes. The data includes two items: one of type P with a premium of 0.13, hurdle of 0.07717041800643083, P80pay of 0.5146525573357001, ratio of 3.958865825659232, signed positive of 5, signed target count of 2, assumed p of 0.25, target of 0.39, half Kelly full loss of 0.0, sim mean of 2.5046974919398926, sim loss percent of 50.178999999999995, and sim target percent of 24.912, and one of type C with a premium of 0.28, hurdle of 0.12540192926045013, P80pay of 0.7346525573356999, ratio of 2.623759133341785, signed positive of 3, signed target count of 0, assumed p of 0.0, target of 0.8400000000000001, half Kelly full loss of 0.0, sim mean of -10.07780924430179, sim loss percent of 62.443000000000005, and sim target percent of 0.0. https://runway.adityaperswal.workers.dev/data/stock-bars

A news scan found the following data line: 29 USD notional value per 999.38 book value, with 10 basis points fees and stated slippage, for a 2026 test and pre-2026 training period, with next open entry. The results are as follows: a list of trading performance metrics, where slippage refers to the difference between expected and actual trade prices. The list includes: [{"era": "train", "horizon": 10, "slippage": 0.001, "return_pct": -1.459752761870204, "drawdown_pct": 1.7396371180551262, "win_rate_pct": 0.0, "n": 5}, {"era": "test", "horizon": 10, "slippage": 0.001, "return_pct": -0.07420035754320282, "drawdown_pct": 0.43731304147940353, "win_rate_pct": 33.33333333333333, "n": 3}, {"era": "train", "horizon": 10, "slippage": 0.005, "return_pct": -1.570212246890424, "drawdown_pct": 1.8280837057431665, "win_rate_pct": 0.0, "n": 5}, {"era": "test", "horizon": 10, "slippage": 0.005, "return_pct": -0.14368586356866514, "drawdown_pct": 0.4707981653075177, "win_rate_pct": 33.33333333333333, "n": 3}, {"era": "train", "horizon": 20, "slippage": 0.001, "return_pct": -1.3076063988160027, "drawdown_pct": 1.616553488945116, "win_rate_pct": 40.0, "n": 5}, {"era": "test", "horizon": 20, "slippage": 0.001, "return_pct": -0.3319085615886717, "drawdown_pct": 0.792241089693213, "win_rate_pct": 33.33333333333333, "n": 3}, {"era": "train", "horizon": 20, "slippage": 0.005, "return_pct": -1.4186750784830875, "drawdown_pct": 1.705478670620586, "win_rate_pct": 40.0, "n": 5}, {"era": "test", "horizon": 20, "slippage": 0.005, "return_pct": -0.40036220293327107, "drawdown_pct": 0.8489116046917267, "win_rate_pct": 33.33333333333333, "n": 3}]. https://runway.adityaperswal.workers.dev/data/stock-bars

A news scan found a list of reactions to a split-only event for DSX R92102, which is a type of financial instrument. The reactions are based on a 20-session reaction with spacing, and only include days with high volume, more than 20 times the mean, and a value of more than $2 million, and do not include any options profit and loss, also known as PnL, which refers to the profit or loss made from buying and selling options. The reactions are as follows: on April 6, 2017, the move was -0.27083333333333337, with an index of 317, on February 9, 2021, the move was 0.06666666666666665, with an index of 1284, on May 3, 2021, the move was 0.19493670886075942, with an index of 1341, on June 11, 2021, the move was -0.20479704797047982, with an index of 1369, on September 13, 2021, the move was -0.0661016949152543, with an index of 1433, on January 15, 2026, the move was 0.1435406698564594, with an index of 2523, on February 20, 2026, the move was -0.10465116279069764, with an index of 2547, and on May 5, 2026, the move was -0.13602941176470595, with an index of 2598. https://runway.adityaperswal.workers.dev/data/stock-bars