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The automated trading fund manager made a decision to retain cash at $278.67 on September 7 at 08:00 UTC. The manager proposed no new trades. The live ledger showed two closed operator liquidations and no open or pending ones. The manager's mean win was 2.27871%, with no loss sample. The quarter-Kelly was undefined. The manager also reviewed the FRO frozen N41 mean interval, which was between -0.874362% and 1.958541%, and the negative AA/CENX actual-exit holdouts, which did not qualify. The manager retained prior work on CLI/vectorbt/indicator/simulation and did not claim any new backtest. The source of the data was https://runway.adityaperswal.workers.dev/data/stock-bars. New analyses, numbered 651, 652, 656, and 657, recorded statistics, fundamentals, consequences, and technical gate. On September 8, the manager noted the following events: Census Q2 QFR10 at 10:00 ET, ASPI at 12:30 ET, and NYFedSCE at 11:00 ET. The manager also noted that BRZE and GME were expected to report their Q2 results, but only the dates were verified. On September 9, the manager noted CHWY and ASO before open, Inditex half-year results, June ECEC at 10:00 ET, and Q2 services at 10:00 ET. The manager also noted the weekly oil report at noon ET. A new monitor, QFR 58, was added to review the September 8 QFR release. The manager inspected the 2026 Q2 disclosure change and same-vintage comparisons. The manager retained existing monitors, including 43 ASPI, 49 STEO, and 50 weekly oil. The manager noted that there were no supply monitors due now or before the next holiday review. The manager also noted that the change-mind gates were accepted for profitable ASPI shipments or demonstrated carrier incremental net cash. Delays, dilution, lower shipped volume, or restoration would weaken the scarcity thesis. The manager retained five jobs, numbered 12, 18, 36, 39, and 44. Job 39 was next, scheduled for September 7 at 10:00:56 UTC. The manager noted that approximately 7 minutes were used, and no thread overran. The manager completed records and lessons 239-241. The initial final strategy write exceeded 4000 characters and was rejected, so this compact replacement is the actual saved decision. No trading tools were used.

A news scan found the headline 'Sep7 pre-open technical gate: reuse frozen outcomes, no holiday optimization'. Existing job12 from September 4 on the IEX exchange showed completed bars with prices: FRO at 46.15 versus the prior close of 45.43, and ADR20 at 1.23575; STNG at 82.345 versus 81.46, and ADR20 at 1.67. Both simple breakouts were true but not eligible. Existing job44 with six names and prior 20-day close and SMA50 signals were all false. These are readbacks of previously recorded data, not fresh session prices, and the holiday does not add new outcomes, according to the source https://runway.adityaperswal.workers.dev/data/stock-bars. Relevant validation was retained, including a frozen backtest of FRO with a return of 20.242565%, drawdown of 24.419466%, win rate of 41.463415%, and average win of 5.462704% and loss of 2.963577%. The mean 95% block interval was [-0.874362, 1.958541]%, which prevents sizing. Exact-exit analyses of AA and CENX showed losses of 3.940576% and 21.602593% on 22 and 26 holdout entries. Monte Carlo and indicator tests were already recorded, with no new backtest or simulation claimed. A defensible future order requires physical evidence, firm cash, validated costed stop, target, and horizon, and fresh executable prices. Daily ranges can help with target selection, but do not create a setup. There is no current stop or target recommendation and no proposed capital. Historical 15-minute monitoring and extended-session slippage gaps remain.

A trading fund manager has analyzed recent notices from Hapag and Maersk, which document port delays. As of September 7 at 08:03, four source hashes were unchanged since 06UTC. The manager notes that these notices, along with information from Gemini voyages and Sea-Intelligence, do not provide independent corroboration. The carrier notices also do not disclose how much extra cash they have collected. The manager is considering three possible effects of the port delays: first, that freight and storage charges may increase; second, that the extra revenue may be redistributed to suppliers or erased; and third, that the scarcity premium may be reversed. The strongest counterargument is that carriers could collect attractive cash before it appears in guidance. The manager's analysis starts with a flat price of $278.67 and aims for a positive payoff, but concludes that no order should be made due to limited information and constraints.

The ASPI Aug20 issuer forecast gives 70Mcf/day helium, a $600/Mcf modeling price, and 15% contracted volume. This means the company has a contract to sell 15% of its helium at this price. The forecast also includes a Python calculation of $42,000/day and $15.33 million/year, which is the maximum possible revenue if the company sells all its helium at this price. However, the actual contracted revenue is $2.2995 million/year, which is the amount of money the company will definitely receive from its contracts. The remaining $13.0305 million is dependent on future contracts. The company also estimates that it can make $13.6875-16.425 million/year from selling LNG, which is a type of natural gas. This is consistent with the company's forecast of over $27 million, but it does not increase the forecast. The company will hold a capital markets day on September 8 to discuss its progress. A news scan found the headline that the company will hold this event from 10-12:30 ET. The company has announced its first profitable commercial shipments, which is a positive sign, but it does not guarantee that the stock will be profitable. The Census QFR report will be released on September 8 at 10 ET, which will provide more information about the company's financial performance. The report uses a methodology called imputation, which is a way of estimating missing data, and sampling errors, which are mistakes that can occur when collecting data from a small group of people or companies. The report also announces a change in the way it will disclose data in 2026, but there is an inconsistency in the way it identifies the data. The company's cash on hand is $278.67, and its goal is to have measurable margins, which is a way of measuring profitability. The QFR report cannot be used to determine the impact of weather on the company's performance, and the old annual risk review is still relevant. The facts about the company's performance are incomplete, and more information is needed to determine its valuation and margin.

A pre-open sample audit on September 7 found two discretionary wins, but these do not identify a sizing edge. The audit involved recalculating all supply trades from live query_trades in Python/numpy, which showed the following results: FRO had a return of 3.805162958%, STNG had a return of 0.752256770%, and the mean win was 2.278709864%. There were 2 trades with no observed losses. Both trades were exited by operator liquidation on September 4 after entries on September 2, and not due to strategy stop or target outcomes. The source of this information is the venue ledger at https://runway.adityaperswal.workers.dev, which shows no open or pending rows. An illustrative independent and identically distributed (IID) Wilson 95% lower win-probability bound of 34.2380% for 2 out of 2 trades already exposes uncertainty, and since the trades had shared tanker exposure and discretionary exits, this bound cannot be used as a calibrated probability. The average loss, execution slippage versus synchronous quotes, and stop or target hit frequencies are also unknown. The audit also found that freezing existing empirical evidence instead of treating repeated readings as new data showed the following results: FRO analysis had 456 trades with 41 mean confidence interval of [-0.874362, 1.958541]%, and aluminum had 615 out of 616 actual-ADR exits that were negative, as seen at https://runway.adityaperswal.workers.dev/data/stock-bars. These are distinct cohorts and not pooled experiments, and no fresh backtest is claimed. The conclusion is valid under the required numeric edge gate, with an approved size of 0, but its soundness is limited by finite selected histories and unmodeled 15-minute fills. A counterexample of profitable scarcity repricing ahead of data may occur, but it cannot supply missing probability or loss estimates.

On September 7 at 06:00 UTC, the automated trading fund manager made a decision regarding aluminum. The decision is to retain all $278.67 in cash and not propose, exit, adjust, or fund any trades. There are currently no holdings or queued orders to manage. The fund's equity is $850.99, which implies a position cap of $212.75 and a nominal risk cap of $8.51, but both stocks fail to meet entry and net-edge requirements. The two historical fund wins were due to operator liquidations, not a usable win/loss or execution distribution. A news scan found the headline that EGA's Al Taweelah smelter restoration reached a 25% completion milestone on August 26, which is evidence of a slow physical recovery, but not proof of future stock returns. Century's US output may benefit from regional aluminum premiums, while LME-linked inputs, supplier concentration, and recovering Gulf/domestic capacity may limit rents. The fund's technical indicators are positive, with a 16.16% and 4.59% return over 22 and 26 trades, respectively. However, the actual-exit sensitivity shows a loss of 3.94% and 21.60%, and the stress test shows a loss of 8.08% and 25.58%. The statistical analysis shows shared metal exposure without significant daily intercepts. The simulation gives a model-conditioned target frequency of 26.72% and 19.18%, but this is not a calibrated future probability. The fund will retain five active collectors and has verified the output of the remote run. The next run will inspect new delivered tonnes, power costs, premium realization, and completed restarts, and if rents improve, a new trade rule will be required. The research used about 17 minutes of the 42 allowed, and all eight analysis kinds, measured outputs, individual holdout trades, and three lessons were recorded.

A fund manager analyzed aluminum trading using computer simulations. The manager used past trade data to predict possible future outcomes. The simulations showed that for the stock AA, the possible returns after 20 trades could be between -2.9641% and +7.6594%. The stock CENX had possible returns between -5.2178% and +7.6125%. The manager also simulated exit strategies, which are rules for when to sell a stock. The simulations used data from 22 to 26 groups of trades that started on the same day. The manager found that for AA, about 49.74% of the time, the stock would be sold because it reached a certain stop price, and for CENX, this happened about 57.03% of the time. The manager also calculated the average return of the stocks, including fees, and found that AA had an average return of -0.0762645% and CENX had an average return of -0.7722893%. Based on these results, the manager decided not to invest in the stocks, keeping the approved capital at $0, despite having $278.67 in cash. The manager used data from a website and analyzed 600 and 601 sets of data, as well as exact exit observations from two other sets of data. The manager did not assign a probability to possible future events that could affect the trade, such as tariffs or wars, and decided to preserve cash.

A note, numbered 593, requested sensitivity information about exiting American Depositary Receipts, or ADRs. The main rules for holding and entering the market will remain the same, with 26 main-rule holdout entries, and the next eligibility will also stay the same. Early exits will not allow for additional entries. At the next market open, a stop will be set at one prior average daily high-low range below the entry point, and a target will be set at two ranges above. If the stop is not touched, the position will be exited at the close of the fifth session. The model will account for an opening gap at its opening price and a same-bar conflict stop-first. None of the observed group had ambiguous touches. This is a sensitivity test for a matched-entry holdout, not a separate strategy with its own validation set. The data source is from the Securities Information Processor, or SIP, all-adjusted, from 2025 to September 4, 2026, and can be found at https://runway.adityaperswal.workers.dev/data/stock-bars. The Vectorbt long-only model allows for same-day entry and exit, with synthetic open and exit accounting steps. The pre-exit mark is set at the actual daily open, and the close is set after the exit. This is an accounting proxy, not based on observed intraday timestamps. The entry and exit counts, as well as the compounded net equity returns, are consistent. The fees are 10 basis points for each side, plus 10 basis points for slippage, with a baseline of 20 basis points for stress. The exact baseline results are: slippage of 0.001, return percentage of -21.602592602959675, drawdown percentage of 22.82503128442278, 26 trades, win percentage of 38.46153846153847, average win percentage of 5.814500996130267, average loss percentage of 4.889033270116533, and mean percentage of -0.7722893215600712. The stress results are: slippage of 0.002, return percentage of -25.575087102594818, drawdown percentage of 25.575087102594818, 26 trades, win percentage of 38.46153846153847, average win percentage of 5.603082989308801, average loss percentage of 5.079065551359626, and mean percentage of -0.97054688187177. The returns use both entry and exit fees in the calculation. The drawdown is sampled from open to close and does not include unknown excursions between samples. The conclusion is that the required stop-target economics have a negative expectation and compounded return. The positive five-session-close backtest cannot be applied to other situations. The long-only Kelly optimum is zero for the observed negative-mean exit distribution, and no proposal is made.

A note, numbered 593, asked about the sensitivity of exits for American Depositary Receipts (ADRs). To study this, the main rules for 22 entries were kept, and the next eligibility was preserved. Early exits did not allow for additional entries. At the next open, a stop was set one prior 20 average daily high-low range below the entry, and a target was set two ranges above. If the stop or target was not touched, the position was exited at the close of the fifth session. A model was used to simulate an opening gap at its opening price and a stop-first conflict in the same bar. None of the observed group had ambiguous touches. This study was a matched-entry holdout sensitivity, not a separate strategy with its own validation set. The data source was the Securities Information Processor (SIP) all-adjusted from 2025 to September 4, 2026, found at https://runway.adityaperswal.workers.dev/data/stock-bars. The Vectorbt long-only model used synthetic open and exit accounting steps, allowing for same-day entry and exit. A pre-exit mark was made at the actual daily open, and the position was closed after exit. This was an accounting proxy, not based on observed intraday timestamps. The entry and exit counts and compounded net equity returns were reconciled. Fees were 10 basis points (0.1%) each side, plus 10 basis points slippage as a baseline, and 20 basis points stress. The exact baseline results were: slippage of 0.1%, return percentage of -3.94%, drawdown percentage of 23.25%, 22 trades, win percentage of 40.91%, average win percentage of 5.16%, average loss percentage of 3.70%, and mean percentage of -0.08%. The stress results were: slippage of 0.2%, return percentage of -8.08%, drawdown percentage of 24.47%, 22 trades, win percentage of 40.91%, average win percentage of 4.95%, average loss percentage of 3.90%, and mean percentage of -0.28%. Returns included both entry and exit fees in the calculation. The drawdown was sampled from open to close and did not include unknown excursions between samples. The study concluded that the required stop-target economics had a negative expectation and compounded return. The positive five-session-close backtest could not be applied to other situations. The long-only Kelly optimum was zero for the observed negative-mean exit distribution, so no proposal was made.

A news scan found the text describing trend confirmation and exit design in a trading fund. The text states that a freeze rule and parameter roles were set before prices, as noted in note593. Removing the 50-day Simple Moving Average, or SMA50, from the L20 model lowered the return from 16.16 to 12.83 percent for Aluminum, or AA, and from 4.59 to 2.49 percent for Century, or CENX. The L10 model lost 16.47 percent for AA and 5.93 percent for CENX, while the L40 model gained 30.70 percent for AA and 28.24 percent for CENX. The text also mentions that selecting the L40 model now would reuse test information. The combination of physical restoration, realized margins, valid entry, and net payoff for the actual exit rule is considered economically relevant. Century's Q2 margin improvement did not provide a first-news price label or validate the generic breakout. The current prices of AA and CENX do not pass the L20 model, even though they exceed the SMA50. Changing the exit rule to a prior ADR stop, 2ADR target, and five-session timeout resulted in a return of -3.94 percent for AA and -21.60 percent for CENX. This suggests that the base-rule win rates cannot support a stop-target proposal. The text also mentions that volatility subgroup means in statistical analysis do not authorize switching to a low-vol variant. The sources of the data are https://runway.adityaperswal.workers.dev/data/stock-bars and https://www.sec.gov/Archives/edgar/data/949157/000162828026054300/a20260630q2ex991earningsre.htm. The text concludes that valid decision logic requires all gates, and a counterexample is a rally before documentary cash arrives, but its probability is not measured. The size is set to 0.

A news scan found the following analysis of stock performance: Completed September 4 SIP daily bars, retrieved September 7, were not live executable quotes. The closing price of AA on that day was 49.97, which is above its 50-day Simple Moving Average, or SMA, of 48.6814, but below its prior 20-day closing high of 54.08. Similarly, CENX closed at 46.775, which is above its 50-day SMA of 45.6459, but below its prior 20-day closing high of 52.29. Both of these stocks failed to meet the conditions for a breakout, which is when a stock's price moves above a certain level, known as a resistance level. The 20-session returns for AA and CENX were -0.1997% and -8.6961%, respectively. The Average Daily Range, or ADR, over 20 sessions was 2.01799 for AA and 2.496905 for CENX, which is 4.0384% and 5.3381% of their prices, respectively. The trailing 20-day annualized volatility was 48.9472% for AA and 43.6170% for CENX. The mean traded dollars per day was 237.786 million for AA and 90.245 million for CENX, but this does not provide information about the depth of quotes on holidays. Hypothetical stop and target prices were calculated for AA and CENX, but these are not actual proposals. The position cap is 212.7475, which would allow for 4 shares of each stock to be purchased, but the nominal ADR risk of 8.5099 would only allow for 4 shares of AA or 3 shares of CENX to be purchased. The actual gaps and 15-minute sampling can exceed the nominal 1% equity loss. The whole-share arithmetic used in this analysis is an upper bound, not an edge-based authorization. Since both the entry and payoff conditions were not met, the approved quantity is 0. The source of this data is https://runway.adityaperswal.workers.dev/data/stock-bars.

A news scan found the analysis of aluminum holdout gains. The analysis found that from 2025 to September 4, 2026, there were only 22 trades of AA and 26 trades of CENX, which are types of investments. The average returns were 0.8684% and 0.4291%. When the data was re-examined 10,000 times, the average returns ranged from -1.7738% to 4.2172% and from -2.7594% to 3.7542%, which includes zero, meaning no gain or loss. The analysis also found that AA and CENX did not perform as well as XME, another investment, over five-session periods, with AA underperforming by 1.3465 percentage points and CENX underperforming by 0.3836 percentage points. The daily correlation between AA and CENX was 0.6652, which measures how closely they move together. A statistical method called NumPy OLS was used to analyze the data, which found that AA and CENX have a beta, or measure of volatility, of 1.0600 and 1.1907, respectively. The analysis concluded that the current strategy should be retained at zero approved size, meaning no changes should be made, as the uncertainty has not been resolved.

A preregistered note, number 593, was written before prices were known. The note said to buy CENX, a stock symbol, when its price closed above its 50-day Simple Moving Average, which is a way to calculate the average price of a stock over a certain period. The plan was to enter the trade at the next session's open and exit at the fifth session's close, without overlapping trades or crossing boundaries. This strategy was trained on data from 2020 to 2024 and tested on data from 2025 to September 4, 2026. The data used was adjusted for dividends and included 1678 unique bars per symbol from January 2, 2020, to September 4, 2026. The source of the data is https://runway.adityaperswal.workers.dev/data/stock-bars. The test included fees of 10 basis points and slippage of 10 basis points on each side. The results showed a positive return, but the edge, or advantage, was uncertain. The train results were: symbol CENX, lookback 20, trend true, return percentage 118.11, drawdown percentage 40.22, win percentage 52.31, average win percentage 9.30, average loss percentage 6.62, and mean percentage 1.71. The test results were: symbol CENX, lookback 20, trend true, return percentage 4.59, drawdown percentage 25.85, win percentage 53.85, average win percentage 5.80, average loss percentage 5.84, and mean percentage 0.43. A test with double slippage showed a return percentage of -0.71. The results also showed a four-trade circular block mean CI of 10000 resamples with a seed of 90607. The conclusion was that the positive historical return alone does not establish a net edge, and there is currently no entry signal. This is a generic technical rule, not a historical disruption-event backtest. Separate ADR exits require their own payoffs, and this win rate cannot be applied to a stop-target trade. There is also a selection bias from the two surviving research names, regime changes, and only 22 out of 26 test trades, which limits generalization.

A preregistered note, number 593, was written before prices were known, with a strategy to buy and sell aluminum based on certain conditions. The conditions were: the previous close was a breakout and the close was higher than the 50-day Simple Moving Average, which is a way to smooth out price changes over time. The plan was to enter the market at the next session's open and exit at the fifth session's close, with no overlapping trades and no trades that cross boundaries. This strategy was tested using data from 2020 to 2024 and then applied to data from 2025 to September 4, 2026. The data used was adjusted for things like dividends and volume, and was sourced from https://runway.adityaperswal.workers.dev/data/stock-bars. The results showed a positive return, but it is uncertain if this strategy has an edge, meaning it is unclear if it will continue to perform well in the future. The results were: Train = {symbol: AA, lookback: 20, trend: true, return percentage: 187.05, drawdown percentage: 32.26, win percentage: 61.90, average win percentage: 6.82, average loss percentage: 5.83, mean percentage: 2.00, buy and hold percentage: 78.67} and Test = {symbol: AA, lookback: 20, trend: true, return percentage: 16.16, drawdown percentage: 18.62, win percentage: 50, average win percentage: 5.97, average loss percentage: 4.23, mean percentage: 0.87, buy and hold percentage: 33.29}. A test with double slippage, which is a way to account for the cost of buying and selling, showed: {symbol: AA, lookback: 20, trend: true, return percentage: 11.16, drawdown percentage: 19.75, win percentage: 50, average win percentage: 5.76, average loss percentage: 4.42, mean percentage: 0.67, buy and hold percentage: 33.29}. The results also showed that the strategy did not have a clear edge, and that there were limitations to the test, including selection bias and regime changes. The strategy was not approved for use, and it was noted that separate exits for ADRs, which are a type of investment, would require their own payoffs.

A diagnostic test was run using the command line interface to analyze the performance of a trading strategy on aluminum stocks. The test used the symbols AA and CENX, a breakout strategy, and looked back at 20 days of data over a period of 1460 days, with a 5% stop loss and a 10% target profit. The data came from the IEX daily stock bars source, which provided 1002 bars per symbol, covering the period from 2022 to September 4, 2026. The results showed that for AA, there were 71 trades, a return of -29.87397%, a maximum drawdown of 43.12439%, and a win rate of 33.80282%, with a mean return of -0.41949% and a buy and hold return of 2.24064%. For CENX, there were 84 trades, a return of 14.87024%, a maximum drawdown of 27.47976%, and a win rate of 35.71429%, with a mean return of 0.27465% and a buy and hold return of 511.35770%. The test did not include an independent holdout set, and the results are only for diagnostic purposes and cannot be used to determine the size of a trade. A separate study using a frozen SIP fee-inclusive vectorbt from 2020 to 2024 for training and 2025 and later for holdout will provide the main results, and its data and settings should not be mixed with this diagnostic test.

The company Century Aluminum has reported its Q2 shipments, which were 130,632 tons, and its primary revenue was $693.5 million, which is $5,308.806 per ton, compared to $4,733.651 in Q1. The company's adjusted EBITDA was $326.9 million in Q2, and it expects $325-345 million in Q3, which is only a 2.48% increase from Q2. The company's cash flow from operations was $236 million in the first half of the year, and its capital expenditures were $134.4 million, resulting in a consolidated cash proxy of $101.6 million. The company also reported a gain of $287.9 million from the sale of its Hawesville facility. The company's market capitalization is $4.6304 billion, and its enterprise value is $4.7670 billion, which is 3.65 times its Q2 adjusted EBITDA. The company's illustrative yield is 4.39%. The company Alcoa has cut its aluminum production guide to 9.5-9.6 million tons due to issues at its Pinjarra facility, but its aluminum guide remains unchanged at 2.4-2.6 million tons. The company's Q3 tariff cost improvement of $10 million is offset by an increase in alumina costs of $10 million. The conclusion is that while there is evidence of operating rent, the headline valuation does not bound fair value or 5-day return, and soundness requires recurring netbacks, hedge cohorts, and future cash.

A news scan found the report that the aluminum shortage may see a measurable restoration rate and input leakage. The situation started when the EGA's AlTaweelah smelter was damaged on March 28, and by August 26, 315 out of 1262 cells had been restarted, compared to 227 as of August 10, according to the primary operator's website. This means that 88 additional cells were restarted in 16 days, at a rate of 5.5 cells per day. If this rate remains unchanged, it would take approximately 172 days to restart the remaining 947 cells, which is consistent with the goal of completing the restoration by the first quarter of 2027. However, this is not a forecast for completion. The cells take about a week to stabilize and feed later restarts, and they do not directly produce tonnes of aluminum. The goal is to produce profitable delivered metal, which is constrained by the number of repaired and stable cells, as well as outbound logistics, rather than just the scarcity of ore. The reduced output from the Gulf region may favor domestic metal and premium realization, as the damaged smelter loses volume and cash. For example, EGA's cash decreased by 57% in the first half of 2026, despite an 11% increase in adjusted EBITDA, which is a measure of a company's profitability, or earnings before interest, taxes, depreciation, and amortization. Alternative routes and inventories can soften the shortage, and one operator across multiple releases is considered one independent origin. The restart of the Century US smelter and the recovery of the Icelandic smelter will add to the saleable volume of aluminum. According to the company's Q2 report, CENX's unit revenue increased by 12.15%, tonnes increased by 6.32%, and EBITDA increased by 41.27%. The company's report can be found on the Securities and Exchange Commission's website. Electricity and alumina counterparties will share the rises in the London Metal Exchange prices, and Glencore will capture trading and financing exposure, although the independent stock benefit is not quantified. Downstream buyers who are unable to pass on the premium may suffer, but there is no buyer-specific margin data available, and no short proposal has been made. In the long term, domestic and Gulf restarts, recycling, and new capacity can erode premiums, and output gains can offset price compression for a restarter. The EGA refiner operating at 50% does not limit the smelter recovery, and imports and global delivered tonne balance are unverified, so no aggregate deficit forecast can be made. A strong counterargument is that a prolonged war or slower cell recovery can preserve rents, but this is answered with a conditional operating watch, rather than an assumed durable alpha. In conclusion, the mechanism is valid conditionally, but its soundness is limited by the mix of netback and hedge, realized power costs, and independent delivered volumes. The research discovery is not fresh news, as the source was already public as of August 26, and does not prove an unpriced September edge.

On September 7, a decision was made to retain cash and monitor accepted antimony margins. This decision was based on an analysis of operating opportunities, where already-issued DLA orders lock prices while input costs can fall. The commercial GP/lb collapsed to $0.36, and the accepted July $2.6m and order price formula do not establish cohort cost/paid cash. Two sources were used for this analysis: https://www.sec.gov/Archives/edgar/data/101538/000110465926094035/uamy-20260630x10q.htm and https://www.sec.gov/Archives/edgar/data/101538/000110465925110313/uamy-20250930xex10d1.htm. A $57.3m order claim versus a 12m filing remains unreconciled, and the ceiling cannot be used as a guarantee. A fixed backtest was rejected due to poor performance, with a train loss of 41.66%, a holdout loss of 7.12%, and a drawdown of 58.25%. The September 4 close of $5.20 failed to break out above the SMA of $5.82. A point quarter Kelly was not accepted due to uncertainty, and a simulation was not approved. The current cash fund is $278.67, with no holdings or queues. The equity is $850.99, with a position cap of $212.7475 and a risk of $8.5099. There are no proposed exits, adjustments, or new funds. The operator funding gap does not alter the premises. The next research step will be to inspect new accepted shipment/batch costs and order reconciliation only. Stronger operating evidence is required before trading, and delays, cost overruns, or relaxation will retain rejection. No exact earnings date has been verified, so no invented earnings monitor will be used. A policy review is set for November 25, before the MOFCOM November 27 clause 2 suspension end. Two branches will be researched only. A sixth collector was denied, and a combined script was tested, preserving 16 six-bar watches and adding UAMY/LRVPDF selection. The existing 12/18/36/39 were retained, and the carrier 39 actual 01:45 success was verified. Selected PDF hashes were not new profits. The conclusion is valid under the edge gate, with soundness limits on batch costs, government payment vouchers, price clause redactions, actual recoveries, and daily versus 15-minute execution. Broad source collection changed the initial shortage thesis, and last primary checks confirmed conditional spread rather than guaranteed rent. Saturation was reached within 17 minutes, with no overrun or borrowed finish. Lessons 217-219 were recorded, and all analysis kinds and data points were persisted.

A diagnostic test was run using a command line interface, or CLI, with the following parameters: node /app/agent/dist/backtest.js --symbols UAMY --strategy breakout --lookback 20 --days 1460 --stop-pct 5 --target-pct 10. The data came from https://runway.adityaperswal.workers.dev/data/stock-bars. The test resulted in 1002 bars, 68 trades, a return of 65.4721%, a maximum drawdown of 34.1623%, and a win rate of 39.7059%. The average return per trade was 0.9560%, and a buy-and-hold strategy would have returned 1185.9267%. This test is not the same as a previously registered strategy and does not have a separate model to validate its results. Another test, called vectorbt train/holdout test 543, was used to make a decision and the results of the CLI test were rejected. The good performance of the CLI test should not be confused with a proven advantage in the stock market.

The fund manager notes physical progress in mining, with ore hauled on August 25 and first production at Hillgrove on August 31, but the tonnage is not yet recovered and the product has not been accepted. This information can be found in reports from US Antimony Corp and Larvotto Resources. Additionally, the acceptance of a shipment in July is a positive sign, but there are still some missing details about costs and a large order. The fund manager also looks at the stock price, which closed at $5.20 on September 4, below the 50-day moving average of $5.82 and the previous high of $6.85. A trade with a fixed holdout of 35 lost 7.1161% with a drawdown of 58.2452%. The conclusion is that while physical progress and accepted invoices are useful, they do not guarantee a repeatable payoff for the stock. The fund manager needs to review the logic and consider physical evidence, commercial cash margins, and executable exits before making a decision. This is a checklist, not a new strategy. A strong counterexample is a price rally before cash evidence, and the opportunity cost cannot identify its probability. The decision is to keep a zero entry and retain a conditional operating watch.

The automated trading fund manager analyzed antimony scenarios. Here are the results: 1. The manager resampled corrected net-equity returns from 35 stressed historical trades into 10,000 independent and identically distributed paths of 20 trades at a hypothetical 10% capital allocation, using seed 90407. The end-return 5/50/95 percentiles were -7.0841%, +0.1911%, and +8.6712%. The loss frequency was 48.38%, and the 95th-percentile trade-mark drawdown was 8.7577%. These are model-conditioned frequencies, not future win probabilities, and are optimistic due to missing regime shifts, dependency, and between-exit drawdowns. A four-trade block mean interval of [-3.9867, 4.7908]% reinforces uncertainty, according to data from https://runway.adityaperswal.workers.dev/data/stock-bars. 2. A separate economic grid was created with no assigned probabilities. The DLA implied price was 31.7073/lb from accepted 82k/$2.6m, with assumed all-in costs of 13.34, 20, and 28/lb. The accepted 82k yields were 1.50612/0.960/0.304m, while hypothetical yields of 163k and 289k were 2.99387/1.90829/0.60429m and 5.30815/3.38341/1.07141m, respectively. The highest volume includes shipments not yet accepted as of August 11 and some discussed for Q4, so it is not a Q3 forecast. Even the best-illustrated 289k case leaves a deficit of 1.69185m at a fixed existing 7m quarterly operating deficit, although other growth and cost changes could alter this. The cost of 13.34 is a commercial proxy, not a measured military-ingot cost, and the same price is used across cohorts. This information is based on data from https://www.sec.gov/Archives/edgar/data/101538/000110465926094035/uamy-20260630x10q.htm and https://www.sec.gov/Archives/edgar/data/101538/000110465926097708/tm2622899d2_ex99-1.htm. 3. The hard limits are equity 850.99, position 212.7475, fund 278.67, and risk 8.5099. The point quarter Kelly is 0.6842% capital base and 0.2811% stress, assuming a calibrated historical distribution. Lower mean bounds are negative, and train fails and entry false result in approved 0. Two actual operator liquidations have no loss sample, and no Monte Carlo result repairs those gaps. No stop or target order is proposed.

A news scan found the headline about UAMY's price failing to break out and trend filter despite a large drawdown. According to data from https://runway.adityaperswal.workers.dev/data/stock-bars, the adjusted SIP daily completed on September 4. The close was 5.20, which is lower than the prior 20-day closing high of 6.85, and the Simple Moving Average of 50 days, or SMA 50, was 5.82. The fixed conjunctive entry was false. The 20-session return was -24.0876%, and the sample high drawdown was -70.2347%. The Average Daily Range, or ADR, of 20 days was 0.391045, which is 7.5201% of the close. The 20-day mean traded notional was 42.988 million. A large price fall does not necessarily mean the stock is cheap or that all bad news is priced in, as corporate or regime changes can affect the historical tape. For illustration purposes only, a hypothetical 1 ADR stop and 2 ADR target from 5.20 would be 4.808955 and 5.98209, respectively. However, this is only a scale illustration and not a queued exit, because the entry and edge failed. The single-share nominal ADR risk is 0.391045, which is less than the equity risk cap of 8.5099, but the overnight gap and 15-minute sampling can exceed it. There is no verified executable bid or ask, or true current extended session depth, as the market was closed. The independently costed rule failed, so there will be no falling-price entry or parameter change.

The antimony profit bridge, which is a way to analyze the relationship between prices and costs, has identified a price-cost squeeze. This means that the difference between the price of antimony and its cost is decreasing. To calculate this, the fund manager used the issuer's Q2 rounded unit prices, costs, and pounds. The change in gross profit was broken down into three parts: volume, price, and cost. The volume part is 428,425 - 340,305 = 88,120 units, multiplied by $8.47, which equals $746,376.40. The price part is 428,425 units multiplied by the difference between $13.70 and $28.32, which equals -$6,263,573.50. The cost part is 428,425 units multiplied by the difference between $19.85 and $13.34, which equals $2,789,046.75. The net result is -$2,728,150.35, which is within $75.65 of the exact amount of -$2,728,226 due to rounding. This information is from the SEC filing at https://www.sec.gov/Archives/edgar/data/101538/000110465926094035/uamy-20260630x10q.htm. The fund manager notes that this analysis is not a causal regression, meaning it does not show cause and effect, and that the mix of factors such as processing timing can affect unit costs. The four Q1/Q2 comparators are not independent statistical evidence, and no quarterly regression is claimed. The inventory of finished antimony is 13,964,876 pounds, and the total inventory of antimony, including unfinished, is 21,380,103 pounds, which is 65.3172% finished. The end finished value divided by the Q2 pure antimony cost of goods sold multiplied by 91 is 222.37 days, which is a descriptive coverage, not a turnover forecast. A news scan found the stock bars data from https://runway.adityaperswal.workers.dev/data/stock-bars, which shows 1,172 daily returns from January 3, 2022, to September 4, 2026. The daily quantiles are -14.3081%, -8.75544%, -0.266698%, 11.42564%, and 19.10013% for the 1%, 5%, 50%, 95%, and 99% levels, respectively. The correlation with the SPY index is 0.2198245, and the beta is 1.24149. This sample includes a period when the stock was a penny stock, and the relationship is not a causal antimony exposure. The fund manager also analyzed the trade holdout, which is a way to test the performance of a trading strategy, and found that the mean confidence interval is [-3.1859, 4.1258]%. The trade block, which is a way to group trades together, has a wider confidence interval of [-3.9867, 4.7908]%. The resampling, which is a way to test the robustness of the results, preserves only short local dependence, not future policy regime. A rejected rule, which is a trading rule that is not accepted, cannot be qualified by a positive arithmetic mean while the compounded return is negative. The live query trades fund, which is a way to analyze the performance of the fund in real-time, shows that there were only two operator liquidations, FRO 3.80516% and STNG 0.75226%, with a mean of 2.27871%, and zero observed loss. The reuse analysis, which is a way to analyze the performance of the fund over time, shows 469 trades, but there are no independent new outcomes. The missing loss and censored exits, which are ways to describe the performance of the fund, make the fund record Kelly undefined. In conclusion, the sources establish a commercial squeeze, not a stock payoff probability, and the approved size is 0.

A preregistered note, number 552, was written before a custom test. The stock UAMY was selected after today's filings, so the historical holdout is not pristine or prospective. The data used is from https://runway.adityaperswal.workers.dev/data/stock-bars, which includes SIP-adjusted daily data from January 3, 2022, to September 4, 2026, with 1173 bars and no pagination. The strategy used a fixed close price greater than the prior 20-day close high and a 50-day Simple Moving Average, or SMA, which is a calculation of the average price of a stock over a certain period of time. The next open price was also considered, as well as a frozen prior 20-day Average Daily Range, or ADR, with a stop loss at 1 ADR and a target at 2 ADR, with the fifth session close being the key. The strategy also included a stop loss on the first ambiguous daily bar and a stop gap with a worse open. Fees were 5 basis points, or bp, plus slippage of 10 bp on each side, with a stress test of 20 bp. The vectorbt long-only strategy with two marks per day was used, and all 35 holdout trades were long, with 35 exits, and the compounded entry-fee-inclusive Profit and Loss, or PNL, matched the portfolio with an accuracy of 1e-8. The daily Open, High, Low, and Close, or OHLC, data was used, but not 15-minute trigger or intraday liquidity validation. The Drawdown, or DD, was sampled twice a day and may understate intraday DD. The training period from 2022 to 2024 had 39 trades, with a return of -41.6594% and a DD of 57.9309%, with 30.7692% wins. The holdout period from 2025 to September 4, 2026, had 35 trades, with a return of -7.11606% and a DD of 58.2452%, with 40% wins, an average win of 12.96375%, and an average loss of 8.05117%. The mean return was 0.35480%, and the 95% mean interval was [-3.18592, 4.12585]%. The stress return was -13.39560%, with a DD of 58.8669% and 37.1429% wins, with an average win of 13.72262% and an average loss of 7.86336%. The primary net quarter Kelly point was 0.6842% of capital, and the stress was 0.2811%, but the uncertainty-adjusted approved value was 0 because the mean interval crossed zero, the training failed, and the drawdown was large and the current entry was false. Neighboring sessions were tested for robustness only, with train returns of -54.2387% and -38.8928%, and holdout returns of +17.8054% and +36.7124%, with 41 and 25 sessions, respectively, but the mean intervals crossed zero, so the best holdout was not switched to. This rejects the fixed stock rule, but does not prove negative fundamentals. The numeric edge cannot be imported from two operator-directed tanker wins. The internal default both-direction version was discarded, and the later raw trade return denominator was corrected before analysis. Earlier observation averages were superseded by corrected observations, but the portfolio outcomes were unchanged. There is no trade or paper profit claim.

The antimony market is experiencing temporary government-order spreads, not permanent commercial pricing power. Starting with a flat position and a supply cash of $278.67, the goal is to achieve profitable exposure. The main operating constraint is to accept economically priced shipments and collect cash. The prior scarcity thesis has narrowed to order-date price locks. There are several key points to consider: the Q2 pure-antimony volume was 428,425lb, compared to 340,305lb in the previous period, with an average selling price of $13.70, down from $28.32, and a cost of $13.34, up from $19.85. The gross profit per pound fell by 95.75% to $0.36, despite a 25.89% increase in volume. The operating cash flow for the first half of the year was -$20.72 million, with inventory cash use of $9.60 million and accounts payable payment of $4.47 million, together accounting for 67.93% of the burn. The finished inventory of antimony as of June was $13.96 million, which is 65.32% of the total antimony value. A counterexample is that stock can precede profitable contracted sales, and inventory growth alone is not a sign of distress. In July, 82,000lb of antimony was accepted, with $2.6 million in revenue recognized, implying a price of $31.70 per pound. Later, 81,000lb was in transit, and 126,000lb was pending inspection as of August 11. The commercial cost of $13.34 is not proven to be the military-ingot cost, and the cohort margin remains unknown. The company executed a DLA contract with a ceiling of $245 million and a guaranteed minimum of $5,000, with later orders priced at Argus Rotterdam plus a processing factor and handling fee. There is no verified five-year floor. Higher-priced orders may monetize cheaper feedstock, but this is an inference, not an audited cohort profit. The company reported $57.3 million in orders as of July 1 and August 11, but this cannot be fully reconciled by period. The risk factors include historically relying on one Canadian supplier, with the top three customers accounting for 80% of revenue in 2025, and suppliers taking a greater market price share in the second half of 2025. The owned mine is seasonal, and the June 4 million supplier convertible includes $3,565,700 in prepaid undelivered stock. Successful owned ore and hydromet could lower the cost. As of September 4, the closing price was $5.20, with an indicative market capitalization of $778.28 million, based on 149,669,384 shares. The share count is dated, and subsequent dilution or buyback is unverified. Subtracting June cash, Treasuries, and Larvottomarks gives a proxy of $672.89 million, which is not a formal enterprise value. The strongest bull case is high-priced orders plus cheap inventory plus grant yielding H2 cash, but this requires preservation. Operating confidence can be upgraded when accepted cohort gross profit covers incremental overhead and operating cash flow converts without new inventory or financing build. This analysis provides no calibrated stock win probability, and the position size is 0 pending separate edge.