Stats

A primary cadence model, number 3183, was trained and the results were analyzed. The training data showed a mean of 2.112847%, with a range of -13.885557% to 30.214313% for the 5th percentile, median, and 95th percentile. The model was also tested with 20,000 independent and identically distributed, or IID, trades, which showed a mean confidence interval of -3.115923% to 7.696204%. Additionally, 10,000 circular block trades were tested, with a mean confidence interval of -2.617690% to 6.994972%. A known holdout set of 11 trades showed a mean of 1.906418%, with a range of -7.107902% to 15.266447% for the 5th percentile, median, and 95th percentile. The holdout set was also tested with IID and block trades, with mean confidence intervals of -3.505778% to 7.708049% and -1.634633% to 6.012300%, respectively. The model was trained on data up to 2025 and did not include any trades that spanned boundaries. The selection of trades was based on current surviving trades, not a random selection, and the holdout set had been examined in prior runs. The results showed 2 out of 2 live winners were liquidated by the operator, with no strategy exits, and no calibrated live Kelly or quote slippage. Despite a negative median and wide confidence interval, the positive arithmetic mean and payoff skew suggest that a small probe can still be investigated. The source of the data is https://runway.adityaperswal.workers.dev/data/stock-bars.

A news scan found the text of a trading fund manager's notes. The manager uses a system called cron_manager to make decisions. This system looks at the price of a stock, specifically the L20 prior-close breakout and the SMA50, which is a type of moving average, a way to smooth out price changes over 50 time periods. The manager also looks at the ADR20, which is the average daily range, the difference between the high and low prices, over 20 days. The manager uses this information to decide when to buy or sell a stock. The manager buys when the price breaks out, or moves above, the prior close and the SMA50. The manager sells when the price reaches a target, which is 6 times the average daily range, or when it falls to a stop, which is 2 times the average daily range. The manager only buys during certain times of the day, specifically at 13:50 UTC during the summer and 16:30 UTC during the winter. The manager also sells at specific times, 12:30, 13:50, 16:30, 19:40, and 21 UTC. The manager forces a sale on the 40th session, which is a trading period. The manager uses 15-minute and 5-minute price data to check the trades. The manager does not account for dividend cash, which is money paid to shareholders. The manager pays fees of 1 basis point, a unit of measurement, to buy and sell, and 5 basis points for slipping, or failing to execute a trade. The manager also stresses, or tests, the trades with a 15 basis point change. The manager uses a system called vectorbt to track the trades and calculate the returns. The manager trained the system from 2020 to 2024 and got a return of 36.189046%. The manager also tested the system from 2025 to September 11 and got a return of 17.407005%. The manager notes that the mark, or current price, is not the actual exit price and should be kept separate from the win rate. The manager has an open entry, or trade, on July 24, 2026, with a target price of 48.545919999999995. The manager explains that the difference between the old target and the new target is due to a change in the average daily range. The manager notes that there are missing observations, or data points, and that the daily portfolio size is 100% of the research benchmark, not the account allocation. The manager also notes that the timing changes and recent returns should not be used to choose the control solely for the best holdout. The source of the data is https://runway.adityaperswal.workers.dev/data/stock-bars.

A news scan found the body of a report from an automated trading fund manager. The report describes a test of a trading strategy called R91306 TEN. The strategy uses a combination of technical indicators, including a prior-close breakout and a 50-period Simple Moving Average, or SMA50, which is a calculation of the average price of a stock over 50 trading days. The strategy also uses an Average Daily Range, or ADR, which is a measure of the average daily price movement of a stock. The test had specific rules, including a stop-loss order at 2 times the ADR and a target price at 6 times the ADR, with a maximum of 40 trading sessions. The test started at a fixed time, 13:50 UTC during summer and 16:30 UTC during winter, which are times when the New York Stock Exchange, or XNYS, is open for trading, known as Regular Trading Hours, or RTH. The test used real-time market data, including 15-minute and 5-minute opening prices, but the data was not always synchronous, meaning it was not always available at the same time. The test also took into account certain market events, such as stock splits, but did not account for dividend payments. The test included fees of 1 basis point, or 0.01%, per trade, and a slippage of 5 basis points, or 0.05%, which is the difference between the expected price of a trade and the actual price. The results of the test showed a return of 10.796047% from 2020 to 2024, with a maximum drawdown, or loss, of 72.455395%, and a win rate of 32.2581%. A separate test, called a holdout, from 2025 to September 11, showed a return of 17.542708%, with a win rate of 45.4545%. The holdout test also showed a stress, or risk, of 38.065430%, and a maximum drawdown of 17.094922%. The report notes that the results are based on a mark, or value, of 47.93 on September 11 at 19:55 UTC, which is not the actual exit price, but rather an estimate of the value of the portfolio at that time. The report also notes that the results are subject to certain limitations, including missing data and assumptions about trading activity. The data for the test came from a source at https://runway.adityaperswal.workers.dev/data/stock-bars.

A trading fund manager tested a strategy called R91306 TEN open_manager. This strategy used a split-unit approach and costed chronological execution. It looked at the stock's prior close breakout and its 50-day simple moving average, or SMA50, which is a measure of a stock's average price over 50 days. The strategy also considered the stock's average daily range, or ADR, over 20 days. The test had a stop loss of 2 times the average daily range and a target of 6 times the average daily range, with a maximum of 40 trading sessions. The test started at 9:30 ET and had specific times to sell or adjust the trade. The test used 15-minute and 5-minute opening prices for checks and did not include dividend cash payments. The test also accounted for fees of 1 basis point per side and a 5 basis point slip, with a stress test of 15 basis points. The results of the test from 2020 to 2024 showed a return of 0.622574% and a maximum drawdown of 66.328898%. A separate test from 2025 to September 11 showed a return of 32.871082%. The current open position has a target of 48.365919999999996 as of July 24, 2026, at 13:30:00 UTC. The data for this test came from https://runway.adityaperswal.workers.dev/data/stock-bars.

This is a test of a trading strategy called R91306 TEN. The strategy uses a combination of rules to decide when to buy or sell stocks. It looks at the stock's price at the end of the previous day and its average price over the last 50 days, which is called a Simple Moving Average or SMA. The strategy also considers the stock's price range over the last 20 days, which is called the Average Daily Range or ADR. The test started with a set of rules, including a stop-loss order at 2 times the ADR and a target price at 6 times the ADR, and a limit of 40 trading sessions. The test began at 9:30 ET and the strategy was set to sell at a 2.25% profit or at a break-even point every 15 minutes, without any human intervention. The test also included a rule to exit the trade on the 40th session. The data used for the test included 15-minute and 5-minute opening prices, which were not necessarily synchronous quotes. The test excluded half-days and after-hours trading sessions and did not account for dividend payments. The test also included fees of 1 basis point per side and a 5 basis point slippage, with a stress test of 15 basis points. The results of the test from 2020 to 2024 showed a return of -5.87%, a maximum drawdown of 66.47%, and a win rate of 41.38%. The results from 2025 to September 11 showed a return of 43.97% and a win rate of 66.67%. The test also included a mark-to-market calculation, which showed a return of 71.81% and a maximum drawdown of 18.83%. The mark is not the actual exit price, but rather an estimate of the value of the position at a given time. The test used data from the XNYS calendar and excluded dividend payments. The data source is https://runway.adityaperswal.workers.dev/data/stock-bars.

A trading fund manager tested a strategy called R91306 TEN. This strategy used a method called a moving average, or SMA50, and a breakout, which is when a stock price moves past a certain level. The test also used something called an ADR, or average daily range, which is the average amount a stock price moves in a day. The test started at 9:30 ET and only automatic exits were allowed. The test used real-time data, but not all of it was synchronized. The test also took into account things like dividends and fees, which are costs associated with buying and selling stocks. The results of the test from 2020 to 2024 showed a return of -7.421094% and a maximum drawdown, or loss, of 72.280462%. A holdout test, which is a test of the strategy on new data, from 2025 to September 11 showed a return of 32.770053%. The current open position has a target price of 48.365919999999996, which was set on July 24, 2026, at 13:30:00 UTC. A news scan found the source of the data to be https://runway.adityaperswal.workers.dev/data/stock-bars.

A diagnostic test was run using the command line interface with the following settings: the symbol TEN, a breakout strategy, a lookback period of 20 days, 1825 days of data, a stop loss of 5%, and a target profit of 15%. The test resulted in 1250 bars and 95 trades, with a return of 60.321944%, a maximum drawdown of 18.279506%, and a win rate of 36.842105%. For comparison, buying and holding the stock would have resulted in a return of 493.742255%, with an average trade duration of 0.467107%. This test was a reproduction and not a held-out validation, meaning it was not an independent test. The test also differed from another strategy that used a simple moving average and other indicators. A separate study using the vectorbt library is pending. The data for the test came from https://runway.adityaperswal.workers.dev/data/stock-bars. No parameters were selected from this diagnostic test, which was only for diagnostic purposes and not for approving trades.

A news scan found the headline of a company's financial report. The report, released on September 10, 2026, and last updated on September 13, 2026, shows that the company had operating cash flow of 281.167 million and net investing of -248.312 million. The combined cash before financing is 32.855 million, which is not enough to maintain the company's free cash flow, a measure of a company's financial performance. The company's financing of 135.159 million explains most of the 168.014 million growth. The company's equity, which is the value of its shares, was 2054.657 million as of June 30, 2026, but this number does not separately show the value of non-controlling interests, which are shares owned by people outside the company, and common shares, which are shares owned by the company's owners. The company will use 3127 as a provisional, or temporary, number for its common-book value, which is the value of the company's shares on its books, with a 10% haircut, or reduction, of 46.52449. The company's prior target of 55.36145 fits with this provisional book value, but it does not have a guaranteed date for when it will be realized. The conclusion is that the company's accounting is valid, but its soundness is limited by the current value of its shares and the value of its fleet, which is a group of vehicles or other assets. A strong counterexample is that if the company's fleet value is reduced by 10%, it would erase the discount, or reduction, in the company's shares, and rising operating cash alone cannot establish a rerating, or reevaluation, of the company's shares. The company's primary source is a press release from September 10, 2026, and an annual report from the same source, which can be found at https://www.globenewswire.com/news-release/2026/09/10/3359616/0/en/ten-ltd-reports-profits-for-the-first-half-and-second-quarter-of-2026.html and https://www.sec.gov/Archives/edgar/data/1166663/000119312526144027/d49235d20f.htm, respectively. There is no claim of fresh, independently corroborated results, meaning that the numbers have not been verified by an outside source.

The automated trading fund manager made a decision about TEN. The main question was whether TEN's freight profits would reach common holders after renewal. The manager looked at primary annual results and slides, as well as a participant transcript, which showed cash capture and profit share. However, financing dominated the cash increase and shipyard and preferred claims absorbed capital. A fundamental analysis of the bridge common book showed a plausible reference value. The manager also considered a 10% fleet haircut, which removed a discount. The manager reviewed reports from the Securities and Exchange Commission and GlobeNewswire. The answer to the question changed when the manager considered source expansion, which showed that the issuer's age-driven retirement required 963 ships per year, against 66 annualized scrapping, a 14.6 times step-up. The manager also looked at independent broker records and research insights from Ifchor Galbraiths. The same issuer repeated information, but this was not considered corroboration, and the independence of the broker database was unknown. The manager performed a raw fixed fractional exit backtest, which retained 60.3773% of the known holdout. The manager also considered a conditional half Kelly gap quarter and decided to hold cash, with a deliberate payoff. The decision was to make no orders or exit moves, with $170.20 in cash. The manager noted that this was not proof that there were no opportunities elsewhere. The premises of the decision were valid, but the soundness was limited by current capital expenditure and net cash income share vintage, price sampling, and regime. No new fund was proposed, as all work fit the supply. The manager recorded lessons and resolved some issues, but 36 partial errors remained. One deep dive converged after a full question and answer session and broker challenge. About 13 minutes were used of the 43 allowed, with no allowance overrun.

On September 11, the closing price was 47.90. The previous 20-day closing average was 44.71. The 50-day simple moving average, which is a calculation to find the average price over a period, was 40.3494. The average daily range over 20 days, which is a measure of price volatility, was 1.243575. This caused the signal to remain true and the trend to be frozen at the lower 20-day level. The stop-loss, which is a price level to limit losses, was set at 45.41285, and the target price was set at 55.36145. At the closing price of 47.90, the gain was 15.5771% compared to a risk of 5.19238%, resulting in a gross return of 3 times the risk. The raw quote and manager cadence limits were also considered. A news scan found the dataset of 1682 daily and 47537 15-minute raw data points, with 43084 calendar regular trading hours, or RTH, which refers to the hours when markets are open. The data was normalized to account for a 5-to-1 reverse stock split in 2020. The manager's policy was preserved, and no rule changes were made, even though the training data showed a positive result of 41.10% for a different rule, because the current rule, L20, was frozen, and another rule, L40, showed a negative result of -36.02%. The lack of trading data, or missing bars, does not affect the tradeability of the signal. There are no current holdings, so there is no need to review or adjust the exit strategy. A data source is available at https://runway.adityaperswal.workers.dev/data/stock-bars.

A news scan found the headline 'R91304 TEN quarter probe: affordable fraction but adverse gap sensitivity'. Managedpapertraining29 shows a win percentage of 41.3793%, average win of 14.8067%, and average loss of 9.31325%. This is a rough sizing reference, not an approved probability, because of a policy cadence mismatch. A stop at 2 times the average daily range, or 47.9, equals 5.19238%, which permits a larger notional but assumes a 30% gap capped to 3% of the account, which is 850.99, resulting in a full amount of 85.099 USD, and a quarter of that is 21.27475 USD, or 0.444149 shares. The whole 47.90 would round the risk up, but only a fractional risk can express a quarter. 20,000 paths were seeded with 20 trade paths at a 2.5% account allocation using training returns. The base percentages are -2.05483%, +0.25728%, and +3.02878%, with a loss of 43.335% and a drawdown of 2.57789%. Assuming a 5% chance per trade of a 30% gap yields -3.05614%, -0.49512%, and +2.40193%, with a loss of 61.555% and a drawdown of 3.51279%. The gap assumption is not a war frequency, nor a hard limit, as the total stock loss can exceed the stop. Future paths are not calibrated to a 1-3 month calendar. The reference stop is 45.41285 and the target is 55.36145, with a gross 3R and a value bridge book of approximately 56.998, but costs reduce the net RR and must be recomputed at executable entry. The current value is zero. A cash decision does not require certainty, but the actual policy and left-tail fit remain unresolved. A data line found the link https://runway.adityaperswal.workers.dev/data/stock-bars. The fund has 170.20 cash and an account of 850.99, and one should not allocate using funding shortfall.

A managed raw paper train had a mean return of +0.66741% per trade. This was calculated using a method called bootstrapping, which is a way to estimate uncertainty, and the results showed a 95% confidence interval of -4.02761% to 5.78851%. Another method, called circular block, was also used and showed a 95% confidence interval of -3.52885% to 5.13261%. A holdout set, which is a portion of data set aside for testing, had a mean return of 6.01385%. The confidence intervals for the holdout set were -0.19308% to 11.98345% using one method and 1.15657% to 10.98076% using another method. However, the results from the holdout set with only 10 trades are not enough to outweigh the uncertainty in the model and data selection. The training data showed returns of -13.0172%, -6.7140%, and +28.1638% at different percentiles, while the holdout set showed returns of -8.0535%, +8.4027%, and +18.1984%. The historical sample used is the current TEN identity, which was selected after seeing strong recent performance, but the data is not independent and identically distributed, and some quotes are missing. The trade history for FRO and STNGN2 showed profits, but the operator was liquidated on September 4, which was not due to the strategy's exit rules. There is no measured order slippage because there is no contemporaneous quote available. The 100% observed win rate should not be used to calculate the Kelly criterion. More information can be found at https://runway.adityaperswal.workers.dev/data/stock-bars and https://runway.adityaperswal.workers.dev. What is needed is the exact implementation of the manager-time and raw quote, as well as prospective outcomes, rather than further looking back at past selections. A news scan found the headline, but in this case, the text is a raw execution uncertainty and limited live record report.

A news scan found the headline of an audit report for R91304 TEN. The report is about an automated trading fund manager's notes. The manager uses a system that looks at the average price of a stock over 20 days and 50 days, which is called a Simple Moving Average or SMA. The manager also looks at the opening price of a stock at 9:30 and uses a stop-loss and target price based on the stock's price. The manager uses a type of analysis called vectorbt, which is a way of looking at how a trading strategy performs. The strategy has a cost of 1 basis point fee plus 5 basis points for buying or selling, and a stress test of 15 basis points. The manager tested the strategy on historical data from 2020 to 2024 and found that it had a return of -7.54972% and a drawdown of 70.1081%. The manager also tested the strategy on data from 2025 to September 11 and found that it had a return of 60.37727% and a drawdown of 14.75847%. The manager notes that the strategy is not executable at every sample and that the actual manager runs less often. The manager also notes that there are missing observations in the data and that the strategy may not be validated for deployment. The manager concludes that the strategy has a positive regime in 2025, but that the raw training data is negative and has a large drawdown, and that the missing execution observations mean that the strategy should be watched but not validated for deployment. The data used for the analysis can be found at https://runway.adityaperswal.workers.dev/data/stock-bars.

The operating vessels of Tsakos Energy Navigation, or TEN, started with 62 vessels on September 8. The goal is to have common cash and a re-rating. The main constraint is to have durable and profitable charter renewal, as well as yard funding and fleet replacement. The first order of business is that dislocated cargo routes can raise rates, but fixed contracts limit immediate participation. However, profit sharing from 13 ships gives an upside. The CFO transcript shows a profit share of 71 million in the first half of the year and 30.5 million in the second quarter, which is higher than the 10 million in the prior first half. This supports realized participation but not future cash forecast. A news scan found the headline 'Tsakos Energy Navigation TEN Q2' on Yahoo Finance. The issuer's spot is only 1000 per day, which is equivalent to 0.11 annual EPS, and 10,000 per day is equivalent to 1.10 EPS at unchanged exposure. The second order of business is that higher freight values support charter owners and asset disposals, while charterers with fixed contracts retain transport protection. Lenders and preferred shareholders receive claims before common shareholders. Expensive freight may also reduce cargo and raise bunkers and insurance. Newbuild yards benefit from orders, while TEN commits funding. The third order of business is that profits induce orders and keep old ships operating, so scarcity self-corrects with a lag. Slide 13 expects 2889 older vessels to depart in 3 years, which is equivalent to 963 per year, versus 44 scrapped from January to August, which is equivalent to 66 per year, a 14.59 times acceleration. Age is not actual withdrawal. A broker report from August 10 found that there were 96.4 million DWT orders at the end of July, a record 197 VLCC, and 103 Suezmax, and only 2.16 million DWT removals. Larger crude orders mean that TEN's 19.9% ship count order book and the broker's 31% fleet order book can partly reflect the denominator and coverage. The strongest bull case is that new ships, mostly from 2027 to 2029, cannot immediately end 2026 rent, and long charters lock returns. The strongest bear case is that demand destruction and future orders weaken durable NAV premium, and flotilla age overstates retirements. The conclusion is to prefer verified charter cash over headline freight rate and not to trade a 2026 spin-off, as the chairman calls it not near-term.

The premises for the TEN common residual are as follows: 1. The operating cash flow of $281.167 million for the first half of the year is real, but the cash growth of $168.014 million includes $135.159 million in net financing, and the net investing includes disposals, so the $32.855 million in operating cash flow plus investing is not maintenance-free cash flow. A news release from September 10, 2026, provides more information: https://www.globenewswire.com/news-release/2026/09/10/3359616/0/en/ten-ltd-reports-profits-for-the-first-half-and-second-quarter-of-2026.html. 2. Annual financing obligations and preferred claims rank ahead of common claims; the 2025 operating cash flow of $297.622 million already deducts $14.784 million for drydocking. After deducting $3.5 million for improvements, $27 million for preferred claims, and $184.1 million for scheduled repayments, $83.022 million remains before newbuild equity or common dividends; this is not full economic renewal cash flow. Do not deduct drydocking twice. The 2025 remaining yard of $1968.298 million and LNG additions span different vintages, and the current committed undrawn finance bridge is unresolved, as seen in this SEC filing: https://www.sec.gov/Archives/edgar/data/1166663/000119312526144027/d49235d20f.htm. 3. The June equity of $2054.657 million, less $287.32735 million in preferred liquidation and $50.13 million in provisional non-controlling interest, gives a book proxy of $56.99755 million for common shares. At a discount of 15.9613% to the technical target of $55.36145, the target bridge is 97.1295% of the proxy book. This is a target bridge, not an independent appraised net asset value. A 10% or 20% write-down of $3155.282 million in net vessels reduces the common book by $46.52449 or $36.05143. Newbuild advance of $470.05 million is unhaircut, with no value credited to unrecognized charter premiums; remaining obligations are matched to future assets, not simply subtracted from book. 4. The first-half common income, excluding sales, is approximately $175.664 million, or $5.86092 in earnings per share; annualizing this implies a price-to-earnings ratio of 4.086 times at $47.90, but this is a cyclical half-year and not a forecast. Early redemption of $118.648675 million saves $10.975 million, or approximately $0.3643 in earnings per share annually, before lost interest; this is optional in 2027 and not a near-term cash windfall. In conclusion, the residual is profitable and the target is plausible, but there is insufficient assurance of rerating timing or funded growth. A strong counterexample to the value thesis is a 10% vessel markdown, which erases the discount. The validity of the algebra is sound, but the soundness of the premises is limited by non-controlling interest, current share, and capital expenditure vintage and asset-market estimates. The current position is zero; do not let the desire for yield turn all cash into distributable common cash.

The final decision for R91302 is to widen to include tungsten and TEN, while retaining $170.20 in cash. The process started and finished with $170.20 in cash and $850.99 in account equity, with no open, pending, or closing ledgers. A directory-wide discovery scan found 12,664 snapshots from 13,181 entries, with 131 fresh liquid supply candidates, but only TEN passed the L20 test. A news scan found the headline of ETH's positive crypto screen, but it lacked a demonstrated supply-rent link. The new tungsten work separates KMT accounting pricing gains from negative cash, ALM funded ramp from achieved production, and Sandvik integration from cash conversion. KMT had a fixed training loss of -48.96%, but TEN had genuine operating cash and a positive daily test, with a train result of +1.30% and a holdout result of +78.94%. The next tasks include raw 15-minute profit management exits and a maintenance-cash/NAV target bridge. The conclusion is that there are no orders, no exits moved, and no FUND proposal, but TEN's favorable holdout earns priority for execution work. Various other tasks and checks were completed, including monitoring and resolving issues, and recording lessons and handoffs.

A review of the R91302 due supply monitor and collector receipt audit found that the CNQ price of 50.07 is less than 51.33, which remains false, and there are no holdings or queued orders. The prior positive raw study for FRO remains unchanged, with a 3.41 distribution on September 18 and an actual cash and raw stop adjustment and value bridge that are still unresolved. A new report from Saudi Arabia on September 12 states that damage is being addressed, but flow in barrels per day has not been restored, and it is not possible to infer the ongoing total outage or resumption of flow. An existing test at 01:45 on June 6 with 0 errors established remote delivery, and the original hash watch did not discover new articles. The system was updated by replacing 243 with 251 after a local test on June 6, adding TEN and KMT while preserving 4 old shortlist items and 2 tankers, and the first remote output is awaited. The numbers 18, 36, 214, and 250 were preserved, but 36 is still partial with a 403 timeout. No trade orders were cancelled, and EEM belongs to another fund. A new watch on TEN cash and test is promising, but the share price of 21.27 to 47.9 and raw 15-minute management and value are pending. A new 4 UTC monitor will be started based on fresh receipt and primary updates, and Monday's 102 and 103 and FRO 287 will remain. There are no automatic orders.

A news scan found the following text: Directory sources https://www.nasdaqtrader.com/dynamic/SymDir/nasdaqlisted.txt and https://www.nasdaqtrader.com/dynamic/SymDir/otherlisted.txt contain 13181 non-test distinct entries, including some with missing information. Of these, 12796 have syntax-compatible requested information, while 385 are excluded due to preferred or special syntax or missing information. The IEX has 12664 snapshots, which cover 96.08% of the directory, with 12387 having positive current or prior bars, and only 8100 are dated September 11. The SIP snapshots are 403, with 25 IEX batch 429 repaired sequentially, and no false zero quotes. A screen for supply names with certain conditions, including a close price of at least 2, IEX dollar volume of at least 1 million, and a fresh date of September 11, resulted in 131 names, with 69 being positive, and a median return of +0.1403%, and a range of -4.1233% to +5.2157%. The source of this information is https://runway.adityaperswal.workers.dev/data/stock-snapshots?feed=iex. This data does not cover all US fundamental information, as it omits unknown names and IEX liquidity is not consolidated, and there is a bias towards current listings. The top 12 names, plus KMT and ALM, completed the SIP 14, with only TEN being true. The names FPS, ON, BE, BDC, MWH, SEI, POWI, AEIS, LSCC, NVT, and NVTS were false, and the strategy rejected chasing day gains. Overseas, 20 attempts resulted in 18 valid signals, with 0 L20 signals, and ALM.TO and AALI.L were invalid and not bearish. The source of this information is https://query1.finance.yahoo.com/v8/finance/chart/. For crypto, 11 were returned, with ETH being the only positive one among 10 with 50 bars, and USDG 39 was insufficient and not zero-filled SMA. The source of this information is https://runway.adityaperswal.workers.dev/data/crypto-bars. No physical rent or value capture edge was identified for ETH, and PAXG was false, and the gold token is not a producer profit. The screen is for discovery, and trading requires a recorded independent edge.

A news scan found the headline 'R91302 TEN conditional quarter probe fails affordability and stress median'. This refers to a test of a trading strategy. The test results showed a win rate of 22.5028% and a loss rate of 8.28635%. This led to a decision to use a half Kelly risk of 0.02319017. The strategy was mapped to a 2 ADR stop, which is a type of stop-loss order, of 5.19238%. This allows for a notional value above the fund cap, but with a 30% gap at 3% equity risk, the full value is limited to 85.099 USD. The quarter value is 21.27475 USD, which is below the whole share price of 47.90 USD. The reference stop is 45.41285 and the target is 55.36145, with a gross 3R, which is a measure of return. The test was not value-proof, meaning it did not provide a clear value. The test was run with 20,000 trade paths and a 2.5% account weight. The results showed a base return of -2.1080%, +0.4490%, and +3.3826% for the 5th, 50th, and 95th percentiles, with a loss of 39.365% and a maximum drawdown of 2.6586%. With a 5% trade and 30% gap stress, the results were -3.0788%, -0.3176%, and +2.7449%, with a loss of 57.055% and a maximum drawdown of 3.5617%. These probabilities are model outputs, not observed frequencies. The fractional RTH expression, which refers to a type of trading strategy, could fit the amount but cannot trade closed and needs a raw exit and value audit. The actual size is 0, meaning no trade was made, and there was no automatic Monday buy. The data source is https://runway.adityaperswal.workers.dev/data/stock-bars. A counterargument is that a positive base does not establish a costed venue exit policy, and it is better to prioritize an audit rather than raising the size.

The automated trading fund manager analyzed the performance of a trading strategy. The results showed a daily return of 1.0437% with a 95% confidence interval of -3.7876% to 6.3721% based on 20,000 simulations. A separate test showed a return of 5.4980% with a confidence interval of -0.4618% to 11.4242%. The training data had 22 stops, 8 targets, and 3 time periods, while the holdout data had 5 stops, 4 targets, and 3 time periods. The correlation between TEN and FRO returns from 2025 to September 11 was 0.835826, and the correlation between TEN and CNQ was 0.276531. A statistical analysis using SPY and XLI showed an R-squared value of 0.0682, which is descriptive but not proof of idiosyncratic alpha. The existing FRO win and TEN setup are subject to one geopolitical and freight risk, not two independent bets. A news scan found the link https://runway.adityaperswal.workers.dev/data/stock-bars. The manager noted that positive point estimates require prospective validation and should not be treated as stable probabilities based on 12 trades. The bootstrap simulation assumes independent and identically distributed data, omitting regime clustering, and the currently selected ticker biases the screen.

A daily test of the automated trading fund manager R91302 TEN was conducted. The test used the same policy as 3063, which is based on a Simple Moving Average of 50 days, and a close price greater than the prior 20 days. The test also used a next open entry with a stop loss of 2 ADR and a target of 40 sessions with a maximum stop. The test allowed for gap opens and stops on the first day. The test was run on 1682 bars of data from 2020 to September 11. The Vectorbt long only strategy was used with a fee of 1 and a slip of 5 basis points per side. The test was trained on data from 2020 to 2024 and resulted in a return of 1.30262% with a drawdown of 70.98575% and 10 wins out of 33, or 30.303%. The test was then run on holdout data from 2025 to September 11 and resulted in a return of 78.94124% with a drawdown of 16.14993% and 7 wins out of 12, or 58.3333%. A fixed path slip of 15 basis points resulted in a return of 74.69777%. The test was closed on September 11 according to the window convention, but this was not a real exit. The test preserved the sensitivities of L10 and L40 without selection in observations. As of June 28, 2024, the test matched the 1131 pre-change TEN bars exactly. On July 1, 2024, the issuer ticker change was verified, and it was confirmed that the new ticker was not assumed to be the old Tenneco. A different IEX rule was used, which resulted in 1437 bars and 103 trades with a return of 58.0091% and a drawdown of 19.158%, and 37.8641% wins. The sources of the data are https://runway.adityaperswal.workers.dev/data/stock-bars and https://www.globenewswire.com/news-release/2024/07/01/2906633/0/en/TEN-Ltd-NYSE-Ticker-Change-to-TEN-Effective-Today.html. The current price is 47.9, which is greater than 44.71. The training drawdown was large, and the mean confidence interval crossed zero, which requires a raw 15-minute audit and a cash distribution policy before live use. The adjusted bar returns do not show the actual fund cash credit. No order was placed.

A news scan found the headline 'TEN Ltd Reports Profits for the First Half and Second Quarter of 2026'. According to the September 10 issuer report, TEN Ltd had higher Total Cash Expenses, or TCE, and operating cash, but this growth was also due to financing and asset disposals. The report can be found at https://www.globenewswire.com/news-release/2026/09/10/3359616/0/en/ten-ltd-reports-profits-for-the-first-half-and-second-quarter-of-2026.html. On April 6, the 20-F report showed that the top 3 customers made up 40.65% of sales in FY2025, with most vessels time chartered, which means they are rented for a specific period, and some profit sharing. This may help keep demand steady during disruptions, but it also limits the potential for immediate increases in spot rates, and there are still risks of termination and delayed new builds. The 20-F report can be found at https://www.sec.gov/Archives/edgar/data/1166663/000119312526144027/d49235d20f.htm. In Q2, the TCE less operating expenses was $35,460 per day before overhead, depreciation, interest, and capital expenditures, which is not the same as profit. The first half operating cash flow plus net investing was $32.855 million, including vessel sales, but this cannot be annualized because it includes maintenance and free cash flow. The technical target of $55.36 to $145 still needs a bridge of common equity, net asset value, maintenance cash, preferred claims, and new build commitments. The conclusion is to watch with priority rather than making a full-size entry. A strong bull case is that profitable long-term charters will fund modernization, but a bear case is that cargo loss, counterparty concentration, and shipyard costs will reduce already scarce rates. The validity of this information is supported by cash proof, but it is not guaranteed, and its soundness is limited by period lags. No new priced date is assumed, and the next dividend announcement intention in November 2026 is not a fixed payment date.

A news scan found the headline 'R91302 KMT zero Kelly; hypothetical probe still loses in most paths'. This refers to a trading strategy, where Kelly is a method to determine the size of a bet. The training results showed an average win of 9.574% and an average loss of 6.2915%, with a payoff of 1.5217, which led to a decision to use zero times the Kelly bet size. As a result, the authorized size was set to 0. In a hypothetical scenario, 20,000 trades were simulated with a seed of 91302, starting with a price of 21.27475 USD and an account fraction of 2.5%. The results showed a 89.325% chance of loss, with a maximum drawdown of 2.5111%. When assuming a 5% drawdown as a minimum loss, the results were even worse, with a 95.445% chance of loss and a maximum drawdown of 3.6482%. This led to the decision not to deploy even a small probe. The simulation was based on 20 trades, not 19 days, and did not take into account left-tail correlation and changing regimes. The stop loss and target prices of 27.50806 and 35.23582 were not validated and were based on a 3R gross return only. A 30% gap at the counterfactual size would cost 6.382425 USD, and the venue capacity and fund size were 212.7475 and 170.20, respectively, which could not override the zero edge. The data source was https://runway.adityaperswal.workers.dev/data/stock-bars and 3063.

The automated trading fund manager analyzed the KMT edge uncertainty and market exposure. The training data from L20 showed a mean return of -2.1782%, with a 95% confidence interval of -4.8701% to 0.8161%. The holdout data from N14 showed a mean return of 1.3471%, with a 95% confidence interval of -4.2810% to 7.4645%. The training data used 20 stop/gap stops and 2 targets, with 5 time exits, while the holdout data used 9 stop/gap stops and 5 target/gap targets. A paired daily analysis from 2025 to September 11, with 424 data points, found a correlation of 0.5665 between KMT and XLI. The ordinary least squares regression showed an intercept of 0.5074 basis points per day, a beta of -0.2713 for SPY, and a beta of 1.4806 for XLI, with an R-squared value of 0.3248. The analysis found no robust alpha significance and no causal tungsten coefficient. The own ledger still had two operator liquidations, with no natural stop or target exits, and a 100% win rate for 2 trades, which cannot be used to calibrate a new strategy or slippage. A news scan found the link https://runway.adityaperswal.workers.dev/data/stock-bars, with a query for trades fund supply. The analysis was based on two premises: a small conditional edge and a train negative premise. The conclusion was to not trade from the holdout data alone. The IID resampling understated serial and event clustering, and the current listings created survivor selection bias.

A news scan found the headline 'R91302 KMT frozen L20 training rejects a scarcity breakout trade'. This refers to a trading strategy that uses a type of technical analysis called a scarcity breakout. The strategy was tested on historical stock data from January 2, 2020, to September 11, 2026, which is a total of 1682 daily bars. The strategy, called L20, looks for a specific pattern where the closing price is higher than the previous 20 closing prices and also higher than the 50-day simple moving average, which is a calculation of the average price over the last 50 days. The strategy enters a trade at the next open and sets a stop loss at 2 times the average daily range of the last 20 days and a target at 6 times the average daily range, which is a measure of the stock's volatility. The strategy also has a maximum of 40 sessions, which is a type of time limit. The strategy was backtested using a tool called Vectorbt, which is a type of backtesting software, with fees of 1 basis point and slippage of 5 basis points per side, which are types of trading costs. The results showed a return of -48.9617% and a drawdown of 54.1759% during the training period from 2020 to 2024, with 7 out of 27 winning trades, which is a 25.9259% win rate. During the holdout period from 2025 to September 11, 2026, the strategy had a return of 10.7920% and a drawdown of 39.6636%, with 5 out of 14 winning trades, which is a 35.7143% win rate. The strategy was also tested with a fixed slippage of 15 basis points, which resulted in a stress test return of 7.7328%. The results also showed that the strategy had negative sensitivities to changes in the parameters L10 and L40 during the training period, but not during the holdout period. A command-line interface diagnostic test of 1440 bars and 65 trades showed a return of -26.3901% and a drawdown of 34.7633%, with a win rate of 30.7692%, but this was not a validation test. The data used for this test came from a source at https://runway.adityaperswal.workers.dev/data/stock-bars. The trading engine was initially set up to allow short selling, but this was corrected to only allow long positions, and the portfolio return was calculated as the product of the returns of each individual trade, with a precision of 1e-8. The preliminary results from the wrong engine settings were not recorded as part of the analysis. The daily barriers used in the strategy were idealized and did not take into account the actual 15-minute venue management and dividend cash, and no live authorization was given. The training used a half-Kelly criterion, which is a type of betting strategy, with a size of 0, and the current size of 29.44 is less than the optimal size of 31.81, which implies a size of 0.