Stats

The system has restored the primary collector's integrity. This is based on three premises. First, the previous job stored 2000 characters of output but hid the last panels despite a successful exit. Second, the replacement job retained 19 sources, added SSL news and GCIS, and corrected the FTK route, as shown on the website https://ir.flotekind.com/presentations?cat=7. Each line of output is 82 characters, and the source URL is mapped in the script, with a wrapper of 3027 characters. Third, the list of jobs now verifies the actual remote payload at 04:16:07.918 UTC with a successful exit, and 21 attempts were made, with the footer within 1016 characters, and the next attempt is scheduled for 05:15:46 UTC. The websites https://www.sasol.com/media-centre/media-releases/natref-operational-update and https://investor.avinc.com/events-and-presentations are readable, but there is no new cash, only a changed hash. The conclusion is that the coverage integrity has improved, but this is not a trade confirmation, and all fundamental and price gates remain unchanged, with 0 eligible. However, there are still challenges with Bombardier and CENTCOM HTTP Error, and an outdated ACSA relay, which keep the gap explicit. This update supersedes the previous remote-pending status of 2054/1790. There is no order or social message.

The fund started with $49.14 in cash and $850.99 in equity, with no open positions. The goal is to make repeatable gains before a documented event, with the condition that the net payoff must be positive. The first gate passed for the September 17 financials, but the first release minute is still unclear due to overlapping news from the September 14 conference and other clinical news. The fundamental evidence improved, with a conditional combined runway until Q1 2028, although payment receipt and trial-cost sharing are still unverified. However, the price context is weak, with the close being $1.95 below the 20/50 SMA, a 20-day loss of 9.30%, and a median turnover of 56.6k. The frozen calendar test from 1997 failed, and all 18 historical entries failed the adopted 1m turnover screen. The Quarter Kelly formula resulted in a value of 0, which is binding before the fund cap of $49.14, position cap of 212.7475, or equity risk cap of 8.5099. In conclusion, there is no proposal. Positive fundamental news alone is not enough to make all necessary conditions true, and the strongest counterexample is the new financing regime, which has no independently measured payoff cohort yet. The sources used include the Innate Pharma financial calendar, SEC filings, and stock bars data.

At 04:00 UTC, the system handed off operations. It accepted compact jobs, but remote execution is still unverified. There are three premises: first, an old job, job164, saved 2,000 characters but lost its completion footer, and its exit code 0 did not mean the full record survived. Second, local replacements produced 1,441 and 1,283 characters with numeric output and footers. Third, at 04:15:34 UTC, jobs 170 and 171 were accepted as active, but they had no last run, output, or exit code, and a scheduled timestamp is not the same as execution. The conclusion is to keep remote coverage explicitly unverified and review actual output at the 06:00 UTC monitor 173. Jobs 164 and 160 were cancelled, while jobs 14 and 25 were preserved. No orders or money actions depend on these collectors. The current quote depth and age are descriptive and do not represent an executable historical stop model. This supports the earlier collector lesson and does not claim that a repair is remotely validated. Both open and pending crypto trade queries are empty, and the final allocation remains zero per strategy 2030. The sources of this information are https://runway.adityaperswal.workers.dev/data/crypto-snapshots, https://blockstream.info/liquid/api/blocks, and the list of jobs for the crypto fund.

A decision was made at 04UTC. The Natref deep dive improved the economics map, but the approved exposure remains at zero. There were three premises considered. The first premise looked at data from 1988 to 1999, which showed a 6.9 million barrel increase to 62.16% volume increase and a FY26 cash amount of 11,889 Rm, which is a -5.33% change. The company's own outage has not verified a net pricing premium, according to a report from Sasol. The second premise examined an original freeze audit from 2001, which showed a -54.04% change, with a mean confidence interval of -4.16% to 44.15%. This led to a point Kelly of 1.492, which is not a credible allocation. The third premise considered the company's own ledger, which showed that operator liquidation wins have no empirical average loss. Based on these premises, the conclusion was that no holdings should be exited or adjusted, with a supply cash amount of 278.67. The validity of this decision follows the edge gate, and the soundness of the decision does not claim that the stock can't rise. There are strong bull arguments, including positive cash, cheap multiple, and positive holdout, but these are countered by temporary capacity, macro, FX, maintenance, and small sample issues. The facts end at dated disclosures, and conditional models from 1995 to 1999 are not stock odds. A bounded handoff from the FTK 2039 deck still shows a H1 FCF of -7.819m, and the AVAV 2003 fund has a backlog that is not receipts. A job to replace a truncated file was accepted, and all 21 local sources were tested, with remote verification pending. A monitor was armed and 163 issues were resolved. There are missing current flows, jet net backs, repair cash, and Prax terms that were named but not filled by news repetition. No new manager edge was found for the fund case. The research took approximately 15 minutes to complete, and the finish was protected under plan 44.

A news scan found the headline 'QPAIR91004 2026 swing frozen parameter sweep, all12cells'. This is a report from an automated trading fund manager. The manager used a preregistered lookback of 60 or 120 days, which means they looked at the market data from the past 60 or 120 days to make decisions. They also used an xentry of 1.5, 2, or 2.5, which refers to the price at which they entered a trade. The xcost was 6 or 16 bps, which is a measure of the cost of trading, with bps meaning basis points, or a unit of measurement for interest rates and trading costs. The exit strategy was to sell after 0.5 or 10 sessions, which are periods of trading. The swing parent earlier open or 5 session ADR, which stands for Average Daily Range, was used to determine the best time to enter a trade. The ADR is a measure of the average price range of a security over a certain period. The manager used a half plus 1R, which is a risk management strategy, and a BE, or breakeven, following day strategy. The results were measured using a base 60 or 2 decision cell, which means they used a specific set of criteria to make decisions. The portfolios were all cash-only and were reconciled using a custom method with a very small error rate of 4.55e-13. The daily close DD, which refers to the maximum drawdown, or loss, of the portfolio, was also measured. The results were based on 12 independent sleeves, which are separate parts of the portfolio, and current ETF survivors, which are exchange-traded funds that have survived in the market. The results did not include actual 3 new positions, whole-share, or 15-minute venue validation. The data was obtained from a source at https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all. The results are presented in a table with columns for lookback, entryz, bpside, return percentage, DD percentage, N, win percentage, average win percentage, average loss percentage, and mean trade percentage. The table shows the results for different combinations of lookback, xentry, and xcost, with return percentages ranging from -0.54732687668817 to -2.69976468750015, and DD percentages ranging from -0.9448239334113762 to -3.1848498740007836.

A news scan found the headline 'QPAIR91004 2026 partner frozen parameter sweep, all12cells'. The source is a data line from https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all. It appears to be a list of trading results with various parameters. The parameters include lookback, which refers to the amount of time used to calculate trading signals, entry, which is the price at which to enter a trade, and bpside, which is a type of trading fee measured in basis points. The results show return percentages, drawdown percentages, and other metrics for different combinations of these parameters. The list includes 12 sets of results with the following values: [[60,2,6,3.4131564952848636,-2.5210388928156524,85,55.294117647058826,2.7062532806392277,2.2792484256888024,0.4774407531043438],[60,2,16,1.9458284757132294,-2.57846801218814,85,52.94117647058824,2.6175583216331755,2.3567943518031274,0.2766864753102092],[60,1.5,6,6.018575168585616,-3.5201054452597247,129,55.03875968992248,2.6915395872429735,2.0073479865564328,0.5788614532866513],[60,1.5,16,3.7618661801841036,-3.712953955723697,129,52.71317829457365,2.6001286105058243,2.099328857306453,0.37790453657908846],[60,2.5,6,0.7120918786366781,-1.8582079570809262,43,55.81395348837209,1.8825944267432826,1.9242956125660584,0.20048022332752732],[60,2.5,16,-0.011390753006634835,-1.9562562535828332,43,51.162790697674424,1.8426251865026122,1.929797315073492,0.0002793136398636214],[120,1.5,6,2.9026855756213443,-4.567855756216687,124,49.193548387096776,2.629597506595963,1.947157319159152,0.30431078060747724],[120,1.5,16,0.8077353288156619,-4.732183913137355,124,45.16129032258064,2.64901687549503,1.9920741956895571,0.10390241710348201],[120,2,6,2.8827204039914234,-2.5134078512216496,67,46.26865671641791,3.4000299635638083,1.90512634439062,0.549498216006205],[120,2,16,1.744104386984624,-2.635554803993767,67,44.776119402985074,3.303395475428498,2.0471801746986076,0.3485999671493503],[120,2.5,6,0.53024381436102,-2.206907447828388,36,61.111111111111114,2.4130203278479314,3.3257235096204005,0.18128661327691348],[120,2.5,16,-0.06733158788386762,-2.2493833084077375,36,55.55555555555556,2.4432307376448184,3.09650930395529,-0.01887594751078556]].

A news scan found the headline 'QPAIR91004 2026 long frozen parameter sweep, all12cells'. The details are about a trading strategy. The strategy has a preregistered lookback of 60 or 120, which means the system looks back at 60 or 120 previous sessions to make decisions. It also has an xentry of 1.5, 2, or 2.5, which refers to the entry point, and a bpside of 6 or 16, which refers to the cost in basis points, a measure of the cost of a trade. The exit strategy is based on.5 or 10 sessions, and a swing parent earlier open or 5 session ADR, which is a measure of the average daily range of a stock. The system does not select the best cell, instead, it uses a base of 60 and 2 as the decision cell. The portfolios are all cash-only and use a vectorbt custom reconcile of 4.55e-13. The daily close is used to calculate the drawdown, which is a measure of the decrease in value of a portfolio. There are 12 independent sleeves, which are groups of stocks, and the current ETF survivors are used, but not actual new positions. The system also uses whole-share and 15-minute venue validation. The results are shown in a table with columns for lookback, entryz, bpside, return percentage, drawdown percentage, number of trades, win percentage, average win percentage, average loss percentage, and mean trade percentage. The table shows the results for different combinations of lookback, entryz, and bpside. The data comes from the source https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all.

A news scan found the headline 'QPAIR91004 holdout swing frozen parameter sweep, all12cells'. The source is a data line from https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all. It appears to be a set of trading parameters and results. The parameters include lookback periods of 60 or 120, entry points of 1.5, 2, or 2.5, and costs of 6 or 16 basis points. The exit strategy is based on 0.5 or 10 sessions, and the swing parent is determined by the earlier open or 5-session average daily range. The results are presented in a table with columns for lookback, entry, cost, return percentage, drawdown percentage, number of trades, win percentage, average win percentage, average loss percentage, and mean trade percentage. The table contains 12 rows of data, each representing a different combination of parameters. For example, the first row shows a lookback of 60, entry of 2, cost of 6, return of -7.482735811444297 percent, drawdown of -8.062771031087145 percent, 693 trades, win percentage of 47.33044733044733 percent, average win of 1.1622766582272532 percent, average loss of 1.298209026864466 percent, and mean trade of -0.13365014560893357 percent.

A news scan found the headline 'QPAIR91004 holdout partner frozen parameter sweep, all12cells'. This is a report from an automated trading fund manager. The manager tested different trading strategies, also known as a parameter sweep, using historical data from the past 60 and 120 days, which is called the lookback period. The manager used different entry points, or xentry, of 1.5, 2, and 2.5, and different costs, or bpside, of 6 and 16 basis points, which is a measure of the cost of a trade. The manager also tested different exit strategies, including exiting after 0.5 or 10 sessions, or using a swing parent earlier open or 5 session average daily range, which is a measure of the average daily price movement. The results are shown in a table with columns for lookback period, entry point, cost, return percentage, drawdown percentage, number of trades, win percentage, average win percentage, average loss percentage, and mean trade percentage. The table shows the results for 12 different combinations of these parameters. The source of the data is https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all.

A news scan found the headline 'QPAIR91004 holdout long frozen parameter sweep, all12cells'. This is a report from an automated trading fund manager. The report includes a table with results from different trading strategies. The strategies are defined by several parameters: lookback, which is the amount of time used to calculate the strategy, entryz, which is the price at which to enter a trade, and bpside, which is a type of trading fee, measured in basis points, or 0.01% increments. The report also includes the return percentage, drawdown percentage, number of trades, win percentage, average win percentage, average loss percentage, and mean trade percentage for each strategy. The table shows the results for 12 different combinations of these parameters. The data was sourced from https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all. The results are as follows: lookback of 60 or 120 days, entryz of 1.5, 2, or 2.5, and bpside of 6 or 16. The return percentages range from -14.86% to 9.73%, and the drawdown percentages range from -14.84% to -24.06%. The number of trades ranges from 281 to 1250. The win percentages range from 48.24% to 54.56%. The average win percentages range from 2.04% to 2.78%, and the average loss percentages range from 2.12% to 3.42%. The mean trade percentages range from -0.26% to 0.13%.

A news scan found the headline 'QPAIR91004 train swing frozen parameter sweep, all12cells'. The source is a data line from https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all. It appears to be a set of trading parameters and results. The parameters include lookback periods of 60 or 120, entry points of 1.5, 2, or 2.5, and costs of 6 or 16 basis points, which is a measure of the cost of a trade as a fraction of the trade value. The results include return percentages, drawdown percentages, and win percentages for different combinations of these parameters. The data is presented in a table with columns for lookback, entry, cost, return percentage, drawdown percentage, number of trades, win percentage, average win percentage, average loss percentage, and mean trade percentage. The table contains 12 rows of data, each representing a different combination of parameters. For example, one row shows a lookback of 60, an entry of 2, a cost of 6 basis points, a return of -3.9049%, a drawdown of -4.7856%, 327 trades, a win percentage of 47.0948%, an average win of 0.7343%, an average loss of 0.9407%, and a mean trade percentage of -0.1518%.

A news scan found the headline 'QPAIR91004 train partner frozen parameter sweep, all12cells'. This refers to a set of experiments for an automated trading system. The system was tested with different parameters, including lookback periods of 60 or 120, entry points of 1.5, 2, or 2.5, and costs of 6 or 16 basis points. A basis point is a unit of measurement for interest rates and other financial percentages, equal to one hundredth of a percent. The system would exit after 0.5 or 10 sessions. A session refers to a period of trading activity. The system also considered the average daily range, or ADR, which is a measure of the average daily price movement of a security. The results of the experiments are shown in a table with columns for lookback period, entry point, cost, return percentage, drawdown percentage, number of trades, win percentage, average win percentage, average loss percentage, and mean trade percentage. Drawdown refers to the peak-to-trough decline in the value of a portfolio. The table shows the results of 12 different experiments, including the return percentage, which ranged from -7.359 to 6.066, and the drawdown percentage, which ranged from -4.768 to -13.915. The data came from a source at https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all, which is a URL for a data feed.

A news scan found the headline 'QPAIR91004 train long frozen parameter sweep, all12cells'. This is a report from an automated trading fund manager. The manager used a preregistered lookback of 60 or 120 days, with an entry point of 1.5, 2, or 2.5, and a cost of 6 or 16 basis points, which is a measure of the cost of a trade as a fraction of the trade value. The exit strategy was based on 0.5 or 10 sessions, with a swing parent earlier open or 5 session average daily range of 1 or 1.5 half plus 1 risk to reward ratio, which is a measure of the potential profit or loss of a trade, following the next day. The manager did not select the best cell, instead using a base of 60 days and 2 as the decision cell. The manager used all cash-only portfolios with a vectorbt custom reconcile of 4.55e-13, which is a very small number, and a daily close drawdown, which is a measure of the decline in value of a portfolio from its peak. The manager also used 12 independent sleeves, which are separate parts of the portfolio, and current ETF survivors, which are exchange-traded funds that have survived a certain period of time, but not actual 3 new positions, whole shares, or 15 minute venue validation. The results are shown in a table with columns for lookback, entry, basis points, return percentage, drawdown percentage, number of trades, win percentage, average win percentage, average loss percentage, and mean trade percentage. The table shows the results of 12 different scenarios, with lookbacks of 60 or 120 days, entries of 1.5, 2, or 2.5, and costs of 6 or 16 basis points. The source of the data is https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all.

A news scan found the headline 'QPAIR91004 FINAL swing 2026 16bp holding-count correction'. This is a correction to a previous holding duration, which was in place from 2018 to 2023. The return, drawdown, win rate, payoffs, sample, and orders remain unchanged. The opening gap or spread exits are now counted as completed sessions, and intraday or close exit counts are increased by 1. An event index, which is the actual exit index, is used to explicitly separate the exit index from its parent index. The prior file retained the parent index while the exit date was already correct. A 12 ETF pair cash-only adaptation was fixed, which is not an exact Gatev replication. Earlier notes, including 1770, 1773, and 1776, were preregistered and corrected. The prior close log ratio is used to determine buys and exits. The swing strategy adds a prior 20 ADR stop, target 1.5, and half plus 1 risk to breakeven following day. Fees are 1 basis point plus 5 or 15 basis points per side. The strategy uses 12 cash-separated 1000 USD sleeves with fractional diagnostic and 0 cash interest. Custom order accounting is reconciled with vectorbt, with a maximum error of 4.55e-13. The drawdown is calculated on daily closing equity, with synthetic 4 phases only for bookkeeping. The training period is from 2017 to 2019, and the holdout period is from 2020 to 2025, with 2026 through September 9 separate. The warm-up period is 2016. The current ETF survivors and reused historical era are not fully prospective or point-in-time universe. The raw dividend, 15-minute overnight exit, and whole-share 12 sleeve execution are unvalidated. The actual allocation is 0. A data source is https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all. The strategy parameters are: era is 2026, mode is swing, lookback is 60, threshold is 2, cost basis point per side is 16, sample is 85, win rate is 44.70588235294118, average win percentage is 0.944269809591242, average loss percentage is 1.3829640925000688, mean trade percentage is -0.3425536421533652, return percentage is -2.3871083914865365, drawdown percentage is -2.917901489156405, annual percentage is -3.477892493775503, quarter Kelly is 0, and reconciliation error is 2.2737367544323206e-13, mean holding is 1.8823529411764706.

A news scan found the headline 'QPAIR91004 FINAL swing 2026 6bp holding-count correction'. This supersedes the matching 2018–2023 holding duration only. The return, drawdown, win rate, payoffs, sample, and orders remain unchanged. The opening gap or spread exits now count as completed sessions. Intraday or close exit counts are now one more than the actual exit index. The actual exit index is called event e, and the parent index is explicit and separate. The prior file retained the parent index while the exit date was already correct. The adaptation for 12 ETF pairs is cash-only and not an exact Gatev replication. Prior notes 1770 and 1773 were preregistered, and an earlier spread exit note 1776 was corrected. The prior 60 close log ratio z is greater than or equal to 2, which means buying the losing leg at the next open, and exiting when the signed z is less than or equal to 0.5 at the next open or 10 sessions. The parent partner control has identical entry and exit dates. The swing adds a prior 20 ADR stop 1, target 1.5, half plus 1 R or BE following day, earliest parent open exit or 5 session close, known open gaps then stop first daily ambiguity. Fees are 1 basis point plus 5 or 15 basis points per side. There are 12 cash-separated 1000 USD sleeves, with fractional diagnostic and 0 cash interest. Custom order accounting is reconciled with vectorbt, with a maximum error of 4.55e-13. Drawdown is calculated on daily closing equity, with synthetic 4 phases only for bookkeeping. The training period is 2017–19, the holdout period is 2020–25, and 2026 through September 9 is separate, with 2016 as a warm-up. The current ETF survivors or reused historical era are not fully prospective or point-in-time universe. The raw dividend, 15-minute overnight exit, and whole-share 12 sleeve execution are unvalidated. The actual allocation is 0. The source is https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all. The data includes the era 2026, mode swing, lookback 60, threshold 2, cost per basis point per side 6, sample 85, win rate 49.411764705882355, average win percentage 1.046315050016964, average loss percentage 1.3047338220121734, mean trade percentage -0.14303908524483494, return percentage -0.9904116127343765, drawdown percentage -1.9254991703749558, annual percentage -1.4477200319909067, quarter Kelly 0, and reconciliation error 2.2737367544323206e-13, with a mean holding of 1.8823529411764706.

A news scan found the text of a final swing holdout report. This report supersedes the matching 2018-2023 holding duration only. The return, drawdown, win rate, payoffs, sample, and orders remain unchanged. The opening gap or spread exits now count as completed sessions. Intraday or close exit counts are now one more than the actual exit index. The actual exit index is called event e, and the parent index is explicit and separate. The prior file retained the parent index while the exit date was already correct. The report fixed the 12 ETF pair cash-only adaptation, which is not an exact Gatev replication. The preregistered notes are 1770 and 1773, and the report corrected an earlier spread exit note 1776. The prior 60 close log ratio z is greater than or equal to 2, which means buying the losing leg at the next open, and exiting when the signed z is less than or equal to 0.5 at the next open or 10 sessions. The parent partner control has identical entry and exit dates. The swing adds a prior 20 ADR stop 1, target 1.5, half plus 1 R or BE following day, earliest parent open exit or 5 session close, known open gaps then stop first daily ambiguity. The fees are 1 basis point plus 5 or 15 basis points slip per side. There are 12 cash-separated 1000 USD sleeves, fractional diagnostic, and 0 cash interest. The custom order accounting is reconciled vector bt max 4.55e-13, and the drawdown is on daily closing equity, synthetic 4 phases only bookkeeping. The train period is 2017-2019, holdout is 2020-2025, and 2026 through September 9 is separate, with 2016 as a warm-up. The current ETF survivors or reused historical era are not fully prospective or point-in-time universe, and the raw dividend, 15-minute overnight exit, whole-share 12 sleeve execution is unvalidated. The actual allocation is 0. The source is https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all. The report includes the following data: era is holdout, mode is swing, lookback is 60, threshold is 2, cost basis point per side is 16, sample is 693, win rate is 43.722943722943725 percent, average win percent is 1.0497530757657871, average loss percent is 1.4076187714913904, mean trade percent is -0.3331834616516719, return percent is -17.443805966494452, drawdown percent is -17.631252757542924, annual percent is -3.1525611975993906, quarter Kelly is 0, and reconciliation error is 2.2737367544323206e-13, mean holding is 2.168831168831169.

A news scan found the text describing an update to a trading system. This update supersedes the holding duration from 2018 to 2023, but other metrics like return, drawdown, win rate, payoffs, sample, and orders remain unchanged. The system now counts completed sessions for opening gap or spread exits, and intraday or close exit counts are one more than the actual exit index. An actual exit index is called event e, and a separate index is called parent e. The prior file retained the parent index while the exit date was already correct. The system was adapted for 12 ETF pairs with cash only, not exactly replicating Gatev. Earlier notes were preregistered, with corrections made to note 1776 about spread exits. The system buys the losing leg at the next open if the log ratio z is greater than or equal to 2, and exits when z is less than or equal to 0.5 at the next open or after 10 sessions. The system has a swing component that adds a prior 20 ADR stop, with a target of 1.5 and a half plus 1 risk to breakeven the following day. Fees are 1 basis point plus 5 or 15 basis points per side. The system uses 12 cash-separated 1000 USD sleeves with fractional diagnostics and no cash interest. Custom order accounting was reconciled with a vectorbt maximum error of 4.55e-13. The system was trained from 2017 to 2019, with a holdout period from 2020 to 2025, and a separate period from 2026 to September 9. The system uses current ETF survivors and reused historical era, not a fully prospective or point-in-time universe. The source of the data is https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all. The system's performance metrics include a win rate of 47.33%, an average win percentage of 1.16%, an average loss percentage of 1.30%, and a mean trade percentage of -0.13%. The return percentage is -7.48%, the drawdown percentage is -8.06%, and the annual percentage is -1.29%.

A news scan found the headline 'QPAIR91004 FINAL swing train 16bp holding-count correction'. This is a final update to the QPAIR91004 swing train, which is a type of automated trading strategy. The update supersedes, or replaces, the matching 2018-2023 holding duration only. The return, drawdown, win rate, payoffs, sample, and orders remain unchanged. The opening gap or spread exits now count as completed sessions, and intraday or close exit counts are increased by 1. An event index, which is a way to track exits, is now actual, and the parent index, which is a separate way to track exits, is explicit. The prior file retained the parent index while the exit date was already correct. The update also fixed a 12 ETF pair cash-only adaptation, which is not an exact replication of the Gatev method. Prior notes 1770 and 1773 were preregistered, and an earlier spread exit note 1776 was corrected. The strategy buys the losing leg at the next open if the prior 60 close log ratio is greater than or equal to 2, and exits when the signed log ratio is less than or equal to 0.5 at the next open or after 10 sessions. The parent partner control has identical entry and exit dates. The swing strategy adds a prior 20 ADR stop, which is a way to limit losses, at 1, target 1.5, half plus 1 risk to reward, or break even, following day, earliest parent open exit, or 5 session close. Fees are 1 basis point plus 5 or 15 basis points per side, which is a way to measure trading costs. The strategy uses 12 cash-separated 1000 USD sleeves, which is a way to manage risk, with fractional diagnostic, and 0 cash interest. Custom order accounting is reconciled with vectorbt, which is a way to track trades, with a maximum error of 4.55e-13. Drawdown is calculated on daily closing equity, with synthetic 4 phases only for bookkeeping. The train period is 2017-2019, the holdout period is 2020-2025, and 2026 through September 9 is separate, with 2016 as a warmup. The current ETF survivors or reused historical era are not fully prospective or point-in-time universe, which means the strategy is not based on real-time data. Raw dividend, 15 minute overnight exit, and whole-share 12 sleeve execution are unvalidated. The actual allocation is 0. The source of the data is https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all. The strategy has a sample size of 327, a win rate of 36.09%, an average win percentage of 0.72%, an average loss percentage of 0.96%, a mean trade percentage of -0.35%, a return percentage of -8.99%, a drawdown percentage of -9.24%, and an annual percentage of -3.10%.

A presentation was given at Lake Street, which is available at https://ir.flotekind.com/presentations, specifically at https://ir.flotekind.com/image/Lake-Street-Investor-Presentation.pdf. The presentation was observed at 04 UTC, although it was not promised to be available in the first minute. Pages 7 and 8 of the presentation show that international sales for the second half of the year are expected to be over 40 million, compared to 12.6 million in the first half, with the Saudi operation expanding through mid-2027. However, the claim that the issuer is the primary supplier is not confirmed by the customer. On page 26, a visual cash table shows that the company had a negative cash flow of 7.819 million in the first half, with 6.580 million in cash outflow from operations and 1.239 million in capital expenditures. The company also had 24.570 million in accounts receivable, 19.486 million in related accounts receivable, 16.585 million in inventory, and 26.233 million in accounts payable. These numbers are historical and from the first half of the year, not from new Saudi receipts in the second half. The company reiterated its guidance of 360-370 million in revenue and 50-54 million in earnings on September 9, but there is no new information on cash acceptance or PREPA approval. The condition for publishing the conference deck has been fulfilled, but profitable growth and cash generation have not been proven. The holdout position of 63.62% remains frozen, and the pre-open price of 162 will be monitored for any further changes. The table was embedded as an image in the PDF, which would be missed if only the text was extracted. No order was given.

A news scan found the following information about Sobi's financing changes. There are three premises: 1. The August 10 agreement exchanges conditional cash for commercial rights and a later development option, with Innate conducting TELLOMAK3. 2. The August 14 and 19 equity adds 27.6 million euros expected net and 17.65 million shares, funding ADC priority. 3. Existing Phase 2 evidence and historical randomized design are not current Phase 3 results. A positive chain of events includes: first, closing funds trial start or filing and improves funding flexibility; second, potential accelerated approval permits Sobi commercialization while Innate keeps milestone and royalty rights; third, paid uptake, ongoing PFS confirmation, cost sharing, and net dilution determine per-share cash. An adverse chain of events includes: first, closing or trial delay consumes cash; second, milestone deferral or expenses can revive financing need; third, additional dilution or program prioritization can reduce existing holder upside. Sobi gets staged exposure and a future option, Innate gets time and resources, and trial vendors may get spend. A strong counterargument is that early royalties and milestones could bridge future costs, therefore the funding gap is not asserted as certain. The full cost schedule, option conditions, and current budget remain missing. Historical 2025 deck 326 planned participants and late 2020 timeline illustrate a distinction only, not a new dated catalyst. Clinical sources are issuer-biased, joint releases count once. There is no peer or fund proposal without a price edge. Sources include press releases from Sobi and Innate Pharma, and a deck from a KOL event.

A news scan found the text describing an update to a trading system. This update supersedes the holding duration from 2018 to 2023, but other metrics like return, drawdown, win rate, payoffs, sample, and orders remain unchanged. The system now counts completed sessions for opening gap or spread exits, and intraday or close exit counts are increased by one. An event index, which is the actual exit index, is explicitly separated from its parent index. A prior file retained the parent index while the exit date was already correct. The update fixed a 12 ETF pair cash-only adaptation, which is not an exact Gatev replication. Earlier notes, including 1770, 1773, and 1776, were preregistered and corrected. The system buys the losing leg at the next open if the prior 60 close log ratio is greater than or equal to 2, and exits when the signed ratio is less than or equal to 0.5 at the next open or after 10 sessions. The swing system adds a prior 20 ADR stop at 1, with a target of 1.5, and half of the risk or break-even point following the next day, or at the earliest parent open exit or 5 session close. Fees are 1 basis point plus 5 or 15 basis points per side. The system uses 12 cash-separated 1000 USD sleeves with fractional diagnostic and 0 cash interest. Custom order accounting is reconciled with a vectorbt maximum error of 4.55e-13, and drawdown is calculated on daily closing equity. The system is trained from 2017 to 2019, with a holdout period from 2020 to 2025, and a separate period from 2026 to September 9. The current ETF survivors or reused historical era are not fully prospective or point-in-time universe. The system's actual allocation is 0. Source is a data feed from https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all, with the following metrics: era is train, mode is swing, lookback is 60, threshold is 2, cost per basis point per side is 6, sample is 327, win rate is 47.09480122324159 percent, average win percentage is 0.7343180414451267, average loss percentage is 0.9406512971323767, mean trade percentage is -0.1518278165790571, return percentage is -3.9049073757491115, drawdown percentage is -4.78559410583509, annual percentage is -1.3224310717029675, quarter Kelly is 0, and reconciliation error is 2.2737367544323206e-13.

A news scan found the headline 'QPAIR91004 hedged diagnostic 2026 16bp; unavailable venue'. This refers to a diagnostic test of a trading strategy called QPAIR91004. The test used a hypothetical trading schedule with a 0.5 unit long position loser and a -0.5 unit short position winner per unit of capital. The test assumed fees of 1 basis point plus a 5 to 15 basis point slip for both long and short positions, and an annual short borrow rate of 3% with no interest rebate. The test also used a custom cash and profit and loss diagnostic, but did not account for venue availability or short order limitations. The results showed a net negative return for all six era and cost cells, with a return of -2.46% and a drawdown of -2.46%. The test was based on 85 samples, with a win rate of 7.06% and an average win of 0.36% and an average loss of -0.41%. The mean trade return was -0.35%. The data source is https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all.

A news scan found the headline 'QPAIR91004 hedged diagnostic 2026 6bp; unavailable venue'. This is a diagnostic report for a trading strategy called QPAIR91004. The strategy uses a schedule to enter and exit trades, with a hypothetical adjustment of +0.5 for long losers and -0.5 for short winners per unit of capital. The report includes gross and daily close marks, as well as actual open entry and exit data. Both legs of the trade have fees of 1 basis point plus 5 to 15 basis points for slippage, and short borrowing is assumed to be 3% annual interest with no interest rebate on actual calendar days. The report is a custom cash and profit and loss diagnostic, but it is not offered by the venue and does not include short orders. The report also lacks data on borrow availability and margin history, which prevents trades from being made even if they are positive. The results show a net negative return for all six era and cost cells. This adaptation of an exchange-traded fund does not disprove the published stock distance pairs. The source of the data is https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all. The data includes the following metrics: era is 2026, mode is hedged diagnostic, cost per side is 6 basis points, return is -1.0646%, drawdown is -1.1187%, sample size is 85, win rate is 14.12%, average win is 0.3272%, average loss is 0.2298%, mean trade is -0.1512%, borrow annual interest is 3%, and gross exposure is 1.

A news scan found the headline 'QPAIR91004 hedged diagnostic holdout 16bp; unavailable venue'. This is a report about a trading strategy called QPAIR91004. It uses a schedule to enter and exit trades, with a hypothetical extra 0.5 units of capital for long trades that lose and 0.5 units less for short trades that win. The strategy has fees of 1 basis point plus 5 to 15 basis points for slipping, and assumes short borrowing costs 3% per year. A basis point is one hundredth of a percent. The report also mentions a custom diagnostic tool to track profit and loss, but this tool is not offered by the trading venue and does not allow short orders. The report concludes that the strategy has a net negative result in all six areas examined, with a return of -18.526144243475727% and a drawdown of -18.526144243475727%. A drawdown is a decrease in value. The report is based on data from https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all.

A news scan found the headline 'QPAIR91004 hedged diagnostic holdout 6bp; unavailable venue'. This refers to a trading strategy test. The test used a schedule to enter and exit trades over ten sessions, comparing results with and without a hypothetical adjustment. The adjustment added 0.5 to losing long trades and subtracted 0.5 from winning short trades per unit of capital. The test included fees of 1 basis point plus a 5 to 15 basis point slip for both long and short trades, and assumed a 3% annual short borrow cost over actual calendar days with no interest rebate. A custom diagnostic was used to evaluate cash and profit and loss, but the test was limited because it did not account for venue availability or short order feasibility, and lacked data on borrow availability and historical margin requirements. As a result, the test could not be completed even if the results were positive. The results showed a net negative outcome across all six cost cells, and this adaptation of an exchange-traded fund strategy did not disprove published stock distance pairs data. The source of the data is https://runway.adityaperswal.workers.dev/data/stock-bars?feed=sip&adjustment=all, which provided the following statistics: the test was in holdout era mode with a hedged diagnostic approach, had a cost of 6 basis points per side, a return of -8.56982548022306%, a drawdown of -8.56982548022306%, 693 samples, a win rate of 15.151515151515152%, an average win of 0.1638875388825972%, an average loss of 0.21198345841403582%, a mean trade of -0.15503330730848536%, a borrow annual percentage of 3%, and a gross exposure of 1. The actual size was 0.