Primary customer statement published2026-09-17, forward period through at least2028: increased Dortmund wafer access amid allocation and AI high-voltage capacity demand. No wafer volume, price or incremental supplier margin disclosed. Interested issuer; not independent proof of LFUS rent. Original2024 closing release says initial sharing through2029; new2028 increased-capacity period does not prove whole agreement shortened or extended.
https://www.elmos.com/english/about-elmos/newsroom/press-releases/news/elmos-secures-additional-wafer-capacity-in-dortmund.html
LPG R92008 hypothetical net3R and 50%gap worksheet = 70.59557452905811
Supply chain2026-09-20 08:13
The 20 basis points per side model for LPG has an entry price of 58.15 and a stop price of 54.31, with a net 3R value of 70.59 and a stop loss of 4.06, and a 50% gap loss of 29.25 per share. For BWLP, the values are 25.66, 23.96, 31.17, 1.80, and 12.91. For CSTM, the values are 25.55, 23.71, 31.49, 1.94, and 12.85. The formula used is T equals 4 times E times 1 plus c, minus 3 times S times 1 minus c, all divided by 1 minus c, where a basis point is a unit of measurement for interest rates, equal to 0.01%. The value has not been established and no actual brackets have been set.
https://runway.adityaperswal.workers.dev/data/stock-bars
BWLP R92008 CLI diagnostic metrics = 23.121317
Supply chain2026-09-20 08:13
A data scan found the following diagnostic metrics for BWLP R92008: return of 23.121317, drawdown of 11.087333, win rate of 40.909091, with 44 trades and 600 bars. The strategy used was a breakout strategy, which is a method of buying or selling when a stock's price breaks out of a certain range, with a lookback period of 20, over 1460 days, a stop loss of 10 percent, and a target profit of 30 percent. The system did not hold out any history or costs, and signal exits were at the same close, with no costed policy edge, meaning no extra costs were considered when making decisions.
https://runway.adityaperswal.workers.dev/data/stock-bars
LPG R92008 CLI diagnostic metrics = 93.997987
Supply chain2026-09-20 08:13
A data scan found the following diagnostic metrics for LPG R92008 CLI: the return was 93.997987, the drawdown was 11.303419, and the win rate was 38.554217, based on 83 events and 1002 bars. The strategy used was a breakout strategy, which is a method of buying or selling when a stock price breaks out of a certain range, with a lookback period of 20, over 1460 days, a stop loss at 10 percent, and a target profit at 30 percent. The system did not hold any positions overnight, and costs were not factored into the signal exits, which occurred at the same closing price, with no consideration for policy edge, which refers to the advantage of a particular trading strategy.
https://runway.adityaperswal.workers.dev/data/stock-bars
LPG R92008 conditional uncertainty and peer correlation = 0.7668020128685449
Supply chain2026-09-20 08:11
The LPG training set has 43 data points, with an average win percentage of 21.54673092716678 and an average loss percentage of -8.419867834733017. The mean confidence interval percentage is between -4.106115059305148 and 4.270658180526479. The LPG holdout set has 17 data points, with an average win percentage of 20.437864175382707 and an average loss percentage of -7.9172112516403494. The mean confidence interval percentage is between -4.231788853390358 and 8.847382316890666. The LPG recent set has 8 data points, with an average win percentage of 18.245050293461478 and an average loss percentage of -6.740918048210521. The mean confidence interval percentage is between -0.10525210634477061 and 17.898192349187415. The BWLP holdout set has 8 data points, with an average win percentage of 11.130437162868134 and an average loss percentage of -6.68234419289503. The mean confidence interval percentage is between -6.953869909160678 and 4.10997937579353. The BWLP recent set has 7 data points, with an average win percentage of 14.85802808789426 and an average loss percentage of -5.614056475622331. The mean confidence interval percentage is between 4.611942528703095 and 18.596903083000885. A news scan found the following gaps: SPY had a gap of -10.74205234664387 percent on 2020-03-16, BWLP had a gap of -13.298872180451138 percent on 2025-04-04, CSTM had a gap of -19.62491627595445 percent on 2024-10-23, and LPG had a gap of -22.275132275132272 percent on 2020-03-16. The correlation between LPG and BWLP in 2026 is 0.7668020128685449. This data is based on 20000 bootstrap means with a seed of 92008, but does not capture selection or serial dependence.
https://runway.adityaperswal.workers.dev/data/stock-bars
A simulation of the stock symbol BWLP was run with the following parameters: the number of paths was 10,000, the stop loss was set at $23.961, the target hurdle was $30.757, the target percentage was 39.18%, and the stop percentage was 57.61%. The mean percentage was 3.37% and the 5th percentile percentage was -9.69%. The 5th percentile dollar value for one share was -$2.49. The probability of profit was 41.86%. This simulation, called Seed92008, used 10,000 paths over 60 days, with 5-day joint open, high, low, and close blocks starting from 2024. The simulation included a gap stop open, where both the stop and target were considered first, and the target was capped, with a 20 basis point side cost. The model used was unconditional and not calibrated to current entry odds, with a gross 3R target hurdle that was not based on valuation, and no order was placed.
https://runway.adityaperswal.workers.dev/data/stock-bars
A simulation was run for the stock symbol LPG. The simulation used 10,000 paths over 60 days, with 5-day joint open, high, low, and close blocks, starting from 2024. The simulation included a gap stop open, where both the stop and target were considered first, and the target was capped. There was also a 20 basis point side cost. The simulation was unconditional, meaning it was not adjusted to fit current market conditions, and it did not consider the current odds of entering the market. The gross target hurdle was 3 times the return, but this was not based on valuation. No actual order was placed. The parameters used in the simulation included a stop price of 54.31223, a target hurdle of 69.66331, a target percentage of 30.55, a stop percentage of 65.86, a mean percentage of 1.3275, and a 5th percentile percentage of -8.4741. The 5th percentile dollar value for one share was -4.9277. The probability of profit was 33.51%.
https://runway.adityaperswal.workers.dev/data/stock-bars
CSTM R92008 daily beta volatility and conditional half Kelly = 2.0005050789047725
Supply chain2026-09-20 08:11
A news scan found the following data line: {"n":179,"beta":2.0005050789047725,"corr":0.5441456571504106,"annvol":48.73006490356926,"return2026":0.3554376657824958}. This is a set of numbers about the stock CSTM, including its daily beta volatility and conditional half Kelly. The beta, which measures how much the stock's price moves compared to the market, is 2.0005050789047725. The correlation, or how closely the stock's price moves with the market, is 0.5441456571504106. The annual volatility, which is a measure of how much the stock's price fluctuates, is 48.73006490356926. The return for 2026 is 0.3554376657824958. This data is based on 179 days of trading and uses a statistical method called ordinary least squares, or OLS, to describe the relationship between the stock's price and the market. The half Kelly risk is calculated from the historical average payoff of the stock, and it is not allocated to capital.
https://runway.adityaperswal.workers.dev/data/stock-bars
BWLP R92008 daily beta volatility and conditional half Kelly = 0.3225171475107303
Supply chain2026-09-20 08:11
A news scan found the following data: the BWLP R92008 daily beta volatility and conditional half Kelly are described by these numbers: there were 179 days, the beta, which is a measure of volatility, was 0.3225171475107303, the correlation, which shows how closely two things are related, was 0.10396425683125539, the annual volatility was 41.11887798512366, the return in 2026 was 1.18755328218244, and the holdout half Kelly risk was 0, with a holdout mean percentage of -2.2291488539542397. This data is based on 2026 aligned daily numbers, with 179 days, and uses beta OLS, which is a statistical method, to describe returns in decimal form. The half Kelly risk is calculated from the historical average payoff of binary events, and does not include allocated capital.
https://runway.adityaperswal.workers.dev/data/stock-bars
LPG R92008 daily beta volatility and conditional half Kelly = 0.47187501797666537
Supply chain2026-09-20 08:11
A news scan found the following data: the daily beta volatility and conditional half Kelly for LPG R92008 are given by the numbers in the following text. The numbers are: n equals 179, beta equals 0.47187501797666537, corr equals 0.13908382019492732, annvol equals 44.969998548475075, return2026 equals 1.5594190140845057, holdout_halfkelly_risk equals 0.0511419004096178, and holdout_mean_pct equals 2.0904624284854356. This data is based on 179 daily observations, where beta is a measure of volatility, corr is a measure of correlation, annvol is annual volatility, return2026 is the return for 2026, holdout_halfkelly_risk is the risk based on the half Kelly criterion, and holdout_mean_pct is the mean percentage return. The half Kelly risk is calculated from the historical binary average payoff, which is not allocated capital, meaning it is not tied to a specific investment. The return2026 is given as a decimal.
https://runway.adityaperswal.workers.dev/data/stock-bars
A news scan found the headline 'BWLP R92008 costed breakout L40 recent 0.005'. The symbol is BWLP, which had a lookback of 40 and a cost per side of 0.005. The return was 59.35256319903518 and the drawdown was 14.459447132957504. The win rate was 71.42857142857143, with 7 trades. There were 4 targets. This used a Vectorbt long-only strategy, which means it only made long investments, with a prior close breakout and a 50-day Simple Moving Average, or SMA, which is a measure of the average price over a certain period. The next open was used, with a 2 true Average True Range, or ATR, stop, which is a measure of price volatility, and a 6 ATR target, with a 60 session exit. Fees were 5 basis points, or 0.05%, plus 15 and 45 basis points slippage per side. Entry day exits were modeled, with a gap stop open, and both stop first, with a target capped. The results reconciled compounded net trades to less than 1e-8, which is a very small number. The historical holdout was reused, not prospective, and BWLP data before 2023 was missing.
https://runway.adityaperswal.workers.dev/data/stock-bars
A news scan found the headline 'BWLP R92008 costed breakout L40 holdout 0.005'. The symbol is BWLP, which had a lookback period of 40 days and a cost per side of 0.005 dollars in the holdout window. The return was -6.551959884016469 percent and the drawdown was 21.6765674163248 percent, with a win rate of 25 percent out of 4 trades, and 1 target. The strategy used by Vectorbt was long only, with a prior close breakout and a 50-day simple moving average, next open, 2 true average true range stop, 6 average true range target, and a 60-session exit. Fees were 5 basis points plus 15 to 45 basis points of slippage per side. Entry day exits were modeled, with a gap stop open and both stop first, and the target was capped. The results reconciled compounded net trades to less than 1e-8. The historical holdout was reused, not prospective, and BWLP data before 2023 was missing.
https://runway.adityaperswal.workers.dev/data/stock-bars
A news scan found the data line for BWLP, which includes the following information: the symbol is BWLP, the lookback period is 40, and the cost per side is 0.002. The return is 66.19%, the drawdown is 13.94%, and the win rate is 71.43%. There are 7 trades, with 4 targets. The strategy uses a vectorbt long-only approach, with a prior close breakout and SMA50, next open, 2 true ATR stop, 6 ATR target, and 60 session exit. Fees are 5 basis points plus 15/45 basis points slippage per side. Entry day exits are modeled, with gap stop open and both stop first, and target capped. The reconciliation is compounded net trades less than 1e-8. The historical holdout is reused, not prospective, and BWLP data prior to 2023 is missing.
https://runway.adityaperswal.workers.dev/data/stock-bars
A news scan found the headline 'BWLP R92008 costed breakout L40 holdout 0.002'. The results of a trading strategy for the symbol BWLP are as follows: the strategy had a return of -4.2820548850657705 percent, a drawdown of 20.731015038604706 percent, and a win rate of 25 percent, with 4 trades made. The cost per side was 0.002 and the lookback period was 40. The strategy used a holdout window and had one target. It was a long-only strategy that used a prior close breakout and a 50-period simple moving average, or SMA, which is a calculation of the average price of a stock over a certain period, in this case 50 periods. The strategy also used a true average range, or ATR, which is a measure of the volatility of a stock, with a 2 ATR stop and a 6 ATR target, and a 60-session exit. The fees were 5 basis points, or 0.05 percent, plus 15 to 45 basis points of slippage per side. The strategy modeled entry day exits, gap stop open, and both stop first, with a target cap. The results reconciled to a compounded net trade of less than 1e-8. The historical holdout was reused, not prospective, and the data for BWLP prior to 2023 was missing.
https://runway.adityaperswal.workers.dev/data/stock-bars
A news scan found the headline 'BWLP R92008 costed breakout L20 recent 0.005'. The symbol is BWLP, which had a lookback of 20 and a cost per side of 0.005 in a recent window. The return was 105.53727367274901, the drawdown was 11.735225704070828, the win rate was 85.71428571428571, and there were 7 trades, with 5 targets. This was based on a Vectorbt long-only strategy, which means it only considered buying the stock, not selling it short, a type of trade where the trader sells a stock they do not own. The strategy used a prior close breakout, which means the stock's previous closing price was used to decide when to buy, and a simple moving average of 50 days, which is a way to smooth out price changes over time. It also used a true average range stop, which is a way to set a price at which to automatically sell a stock if it falls, and a target of 6 times that range, as well as a 60-session exit, which means the trade would be closed after 60 trading sessions. The fees were 5 basis points, which is a way to measure a small percentage, plus 15 to 45 basis points of slippage, which is the difference between the expected price of a trade and the actual price, per side. The model accounted for entry day exits, gap stop open, and both stop first, and the target was capped, which means it was limited to a certain amount. The historical holdout was reused, not prospective, which means the same data was used again, not new data, and BWLP data from before 2023 was missing.
https://runway.adityaperswal.workers.dev/data/stock-bars
A news scan found the headline 'BWLP R92008 costed breakout L20 holdout 0.005'. The results of a trading strategy for the symbol BWLP are as follows: the strategy had a return of -22.585998257854783 percent and a drawdown of 35.4153711992277 percent over 8 trades, with a win rate of 25 percent. The strategy used a lookback period of 20 days and cost per side of 0.005 dollars. It was a long-only strategy that used a prior close breakout and a 50-day simple moving average, with a stop loss set at 2 times the average true range and a target set at 6 times the average true range, and an exit after 60 sessions. The strategy also accounted for fees of 5 basis points plus 15 to 45 basis points of slippage per side. The results were modeled using entry day exits and reconciled to ensure accuracy within a compounded net trades threshold of less than 1e-8. The historical holdout period was reused, but it did not include data from before 2023, which was missing for BWLP.
https://runway.adityaperswal.workers.dev/data/stock-bars
A news scan found the headline 'BWLP R92008 costed breakout L20 recent 0.002'. The symbol BWLP had a lookback of 20 and a cost per side of 0.002 in a recent window. The return was 114.35377566975049, the drawdown was 11.204039915425156, and the win rate was 85.71428571428571 out of 7 trades, with 5 targets. This was a long-only strategy using Vectorbt, which involved a breakout based on the prior close and a 50-period simple moving average, with a stop loss set at 2 times the average true range and a target at 6 times the average true range, and an exit after 60 sessions. The fees were 5 basis points plus 15 to 45 basis points of slippage per side. The strategy modeled entry and exit on the same day, with a stop loss on the opening gap and a capped target. The results were reconciled to ensure accuracy, with a compounded net trade difference of less than 1e-8. The historical holdout was reused, but not prospective, and data for BWLP prior to 2023 was missing.
https://runway.adityaperswal.workers.dev/data/stock-bars
A news scan found the headline 'BWLP R92008 costed breakout L20 holdout 0.002'. The symbol is BWLP, which is a stock ticker. The lookback period is 20, meaning the analysis considered 20 previous days. The cost per side is 0.002, which refers to the fee paid for each trade. The window is a holdout, a term that means a set of data used to test a model. The return was -18.779463049223864 percent and the drawdown, or largest loss, was 33.24910136625081 percent. The win rate was 25 percent, with 8 trades made. The strategy used is called Vectorbt longonly, which is a type of automated trading system that only makes long trades, meaning it only buys stocks. The system used a prior close breakout, which means it bought when the stock price broke out above a previous high, and a 50-day simple moving average, or SMA50. It also used a true average range, or ATR, stop and target, which are measures of stock price volatility. The fees were 5 basis points, or 0.05 percent, plus 15 to 45 basis points, or 0.15 to 0.45 percent, of slippage per side, which refers to the difference between the expected and actual price of a trade. The system modeled entry day exits, gap stops, and target caps, and reconciled compounded net trades to less than 1e-8, which is a very small number. The historical holdout was reused, not prospective, meaning the same data was used again, and BWLP data from before 2023 is missing.
https://runway.adityaperswal.workers.dev/data/stock-bars