The analysis of Chewy's trend and measured ranges does not support an affordable base-hit target. The premises of this analysis are: 1. Levels must use completed bars. 2. A positive medium trend does not imply a large enough move for an affordable far-out-of-money option. 3. Earnings IV decline must be included in a post-event target. As of September 4, the stock price is $23.67, with a 10-day simple moving average of $23.7545 and a 50-day simple moving average of $22.2467, which means it is below the short average but above the medium average. The average true range over 14 days is $0.9879, and 1.5 times this range is $1.4818. The realized volatility over 21 days is 38.75%, over 63 days is 47.06%, and the exponentially weighted moving average is 41.32%. None of these technical levels are claimed to be predictive by themselves. With the initial implied volatility retained for one pre-event session, a 1.5 average true range favorable move gives a stock price of $25.1518 for a call option with a strike price of $37.5 or $22.1882 for a put option with a strike price of $17.5. The median absolute historical event log gap is 9.04%, which gives a post-event stock price of $25.9101 or $21.6236. Removing the event implied volatility component and using the background volatility of 46.93% with 7 sessions remaining, and subtracting the initial half spreads of $0.01 and $0.025, results in a floor of $0 for both modeled bid targets. These zero marks are failed diagnostics, not stop or target orders. To achieve a 1.5 reward-to-risk ratio with a full premium risk and a cost of $0.20, the bid targets need to be at least $0.13 for a call option and $0.155 for a put option. The put option would need $0.16 on a cent grid. There is no evidence to justify raising the target. Stops checked every 15 minutes cannot reduce the 1% full premium budget. The analysis does not force a Monte Carlo pathway after target feasibility fails. A news scan found the data from https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=CHWY&timeframe=1Day&adjustment=all&feed=iex and https://runway.adityaperswal.workers.dev/data/option-chain/CHWY?feed=indicative. A counterargument is that higher post-earnings implied volatility could retain value, but this requires independent calibration, not target selection to fit the required reward-to-risk ratio.
The pre-open combined evidence gate remains closed due to the following reasons: 1. Carrier restriction notices satisfy a physical-observation gate, but the current company's incremental net cash is unknown. 2. Fundamental analysis, referred to as Fundamental437, shows that a lease, financing, and tariff cost bridge can break rent transmission. 3. A technical breakout and a prior costed holdout must both qualify, with the FRO signal being true, but the CI crosses zero. 4. Economic model MC439 cannot provide a stock win probability. The review logic is conjunctive, meaning all conditions must be met, and is not a backtested new trading strategy. The conditions include physical notice, dated commercial cash, independent net payoff, and executable exit. The strategy starts flat, and if any gate is absent, the size is 0. A strong counterexample is missing an early rally, which changes the opportunity cost, not edge identification. An accepted shipment by ASPI could flip physical and commercial evidence, but it cannot by itself flip payoff validation. The current ZIM merger further confounds the price. Sources include a news article from Maersk, a SEC filing, and stock bar data from a website.
A news scan found the headline 'DirectOKXclock-calibrated6/6freshvalues collected~08:03UTC'. This is a report from an automated trading fund manager. The report states that new values were collected at 08:03 UTC, which is a time standard, with an offset of 0.2561 seconds and an uncertainty of 2.823 seconds. The forecast for the next funding settlement at 16 UTC is a positive funding rate of 0.607874 basis points for Bitcoin, 0.913535 basis points for Ethereum, and 1 basis point for Solana. The settlement fields are also positive at 0.6152, 0.917749, and 1 basis point respectively. The open interest, which is the total number of outstanding contracts, is 2.169 billion USD for Bitcoin, 1.488 billion USD for Ethereum, and 0.312 billion USD for Solana. The report notes that the premises for the forecasts are not complete, as the funding is not finished, and the open interest does not distinguish between long and short positions. Additionally, one exchange is not representative of the global market. A previously rejected test for negative funding rebound remains rejected. The report also states that no inference can be made about extreme leverage without a calibrated distribution, and that the freshness of the data collection validates the measurement, but not the strategy. The job will run for 21 cycles from 08:15 to 22:15, covering the interval until the next run at 00 UTC. All raw objects were recorded from 7071 to 7078.
The manager uses two indicators: a 50-day trend and a 14-day volatility measure compared to its 126-day average. These indicators are used to make decisions. On September 4, all 7 sampled ETFs had low volatility, but only 3 were above their 50-day trend. The other 4 were below their trend. This means that low volatility alone is not a useful condition to make decisions. In a test, adding the trend condition actually made returns worse, from 3.5450% to -16.7431%. The combination of low volatility and trend was also bad, at -10.2942%. Low volatility does reduce the distance to stop losses, but it also increases costs. The conclusion is that indicators must be proven to be useful, not just assumed to be. For example, a price trend based on new information can still work. The data comes from https://runway.adityaperswal.workers.dev/data/stock-bars and is recorded in indicators.json.
A funding collector was verified at 06:15 on September 6. The system, which uses a clock calibration process called six of six clock-calibrated fresh fields, made forecasts that the price of Bitcoin, or BTC, would increase by 0.600499 basis points, the price of Ethereum, or ETH, would increase by 0.852359, and the price of Solana, or SOL, would increase by 1.0. The settlement fields, which are used to determine the final price of a trade, remained at 0.038667, 0.172141, and 0.328782. This information came from the OKX website, specifically the time, funding rate, and open interest APIs. The system recorded observations of the full clock, open interest, and forecast objects, but did not make any inferences about buying or selling based on open interest, and did not find any new funding edge. The next funding is scheduled for 08:15 after 08:00 UTC, with 8 cycles left. Other upcoming events include a price job at 07:00 UTC with 6 cycles left, a daily quality check at 04:15 on September 7 with 27 cycles left, and a census at 02:15 on September 7 with 28 cycles left. Existing monitors, which are used to track the system's performance, remain armed, and a stale monitor from September 28 was already resolved and replaced by a new one on October 6. The order book is flat, with no queued orders. None of the rejected pullback signals from today require a new execution job, so the system will avoid duplicative collector jobs. All research jobs are eligible, but only for research purposes, and the system has read back 23 archive chunks, which exactly match the local payload, with a hash of 759554abfdc42dc2df42cc38800d49adc47c2b11abbb86e309a63746fe0bd07d. Neither the existing monitor nor the collector has automatic entry permission, meaning that they do not have the ability to automatically enter trades.
A news scan found the headline 'Trend and volatility filters do not rescue the frozen pullback rule'. This refers to a rule used in automated trading. On September 5, at UTC time, an analysis of Bitcoin, Ethereum, and Solana was done. It looked at their prices over 50 days, called SMA50, and their returns over 3 days. The analysis found that all of these cryptocurrencies had prices above their SMA50 and had positive 3-day returns, but none had a pullback of more than 2%. The latest prices used were the last completed trades, not the current prices at which someone could buy or sell. All of the risk measures, called RV20, were above the average from training data. A filter for low volatility was not triggered. There was no signal to enter a trade, and this was the case regardless of validation checks. The analysis also looked at what happened to prices 5 days after they dipped by more than 2%. It split the results based on whether the price was above or below the SMA50 and the training median RV20. The training data did not include the last 5 days, and trades that overlapped were not considered independent. For Bitcoin, the average return in low volatility conditions was +2.348% in training data and -0.157% in holdout data. For Ethereum, it was +0.311% in training data and +0.471% in holdout data. The results for high volatility were not reliable due to limited data. When considering the cost of trading, the results were -9.051% for Bitcoin, +2.244% for Ethereum, and -14.379% for Solana, in low volatility conditions. None of these results were good enough to pass the negative training and cost gates. The analysis recorded all results from June 12 to June 22 and did not find any signal to adjust the trading strategy. The source of the data is https://runway.adityaperswal.workers.dev/data/crypto-bars.
A study analyzed the relationship between volatility and overnight returns for the SPY stock. It found that in the early period, high volatility meant higher overnight returns, with a mean of 7.0960 basis points, compared to 1.7475 basis points in low volatility. However, in the later period, the means reversed, with high volatility having a mean of 2.9300 basis points and low volatility having a mean of 4.9050 basis points, based on 1,101 and 319 nights, respectively. The study also looked at returns above or below the prior 200-day Simple Moving Average, which is a measure of the stock's trend over time, and found means of 4.3619 basis points and -0.7598 basis points. Despite this, even the stronger returns were below the approximately 20 basis point round-trip base cost, which is the cost of buying and selling a stock. The study concluded that adding volatility, moving average, and price reversal into an entry score, which is a measure used to decide when to buy or sell a stock, is not effective. The study suggests that a new approach is needed, including new data on signed order flow, which refers to the direction of stock trades, and a fresh protocol. The data for this study came from https://runway.adityaperswal.workers.dev/data/stock-bars; statistics.json.
A news scan found the headline is not available, but a data analysis of HAIN stock trends and volatility shows that the indicators used to predict stock performance are based on the prior day's closing price. The trend is determined by whether the closing price is higher than the 20-day and 50-day Simple Moving Averages, which is a calculation of the average price over a certain period of time. High volatility is defined as the Average True Range, a measure of price movement, over the past 14 days divided by the closing price, being above the median of 3.0091043% from the training data. The training data, which is used to teach the model, shows that when the trend is false, meaning the closing price is not higher than the moving averages, and volatility is low, the average return is -0.23825% for 6 instances. When the trend is false and volatility is high, the average return is 5.82893% for 6 instances. When the trend is true and volatility is low, the average return is 1.85433% for 1 instance. However, in the holdout data, which is used to test the model, all 6 instances have high volatility, and the trend is false for 3 instances with an average return of -18.01258% and a win rate of 0%, and the trend is true for 3 instances with an average return of -3.94076% and a win rate of 33.3333%. The current trend of true and high volatility has no support from the training data, so it is not possible to fit interactions or infer probabilities. The correlation between the Average True Range and return is 0.718389 in the training data, but -0.034644 in the holdout data, which is a small sample size. The SPY stock, which is used as a benchmark, has a mean return of -11.04040% when it is above its 50-day moving average, and -10.65804% when it is below, for the holdout data. This suggests that the broader uptrend does not rescue the poor performance. The analysis also notes that correlated price indicators are not independent confirmations, and that a pre-announced event in 2022 with a return of 6.55701% was excluded from the clean training data, which had a return of 30.80863% for 12 instances. The current pre-announcement status is not exhaustively proven. The source of the data is https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=HAIN,SPY,XLP&timeframe=1Day&feed=iex&adjustment=all.
A trading fund manager made some observations about stock trends. They considered two main ideas: a regime, which is a period of time with certain characteristics, must be defined using information available at the time, and subgroup performance needs to be compared to a larger group. They also noted that if a test of a subgroup does not work, looking at smaller subgroups cannot fix the problem. The manager looked at the stocks XLF, XLE, GLD, and TLT, and considered two conditions: high volatility, which is when the stock's variance is above its median, and uptrend, which is when the stock's closing price is higher than its 50-day moving average. They found the following results: for XLF, high volatility and an uptrend had a QLIKE of -0.04916 and 0.04651, respectively, while low volatility had a QLIKE of 0.06847; for XLE, high volatility had a QLIKE of 0.02019, while low volatility had a QLIKE of -0.22138. The manager also noted that GLD had 33 periods of high volatility and no periods of low volatility, while TLT had no periods of high volatility and 33 periods of low volatility. The current price of XLF is $58.10, with a 50-day moving average of $56.8555 and an annual volatility of 12.30249%. The manager also noted that more forecast volatility does not necessarily mean a better forecast, and that a future downtrend might favor a different model. The data used for these observations came from the website https://runway.adityaperswal.workers.dev/data/stock-bars, and the exact regime counts and means are recorded in observations 5797-5802.
A news scan found the headline about helium evidence gates. Commercial capture is separable from investable payoff. The analysis combines more than price, including physical disruption, which has been documented historically, but the current magnitude is unverified. Rent capture is also considered, with LIN having a positive dollar contribution, APD having a year-over-year drag, and BSIN/ASPI having contracted potential. Cash conversion from new plants is unverified. The valuation is missing helium earnings per share separation. The market data shows different regimes for distributors. There is no independent costed trade holdout for execution or edge. Thus, no candidate passes all gates. LIN may capture profits before the margin percentage rises. The new plant contract price does not pass cash conversion until accepted shipments and costs are documented. The current market data for LIN at 477.43 and APD at 301.18 exceeds the whole-share 212.75 cap. Fractional trading is allowed, but overnight exits are not validated. The technical Average Daily Range gives realistic moves, but does not create thesis-invalidation stops. Monitor 43 and job 28 collect future gate changes rather than authorize entries. There is no options or crypto substitution for the missing helium cash-rent edge. The sources are detailed analysis pages 293 to 335 and 338 to 343, and observations 5415 to 5438 and 5774 to 5779. The prices can be found at https://runway.adityaperswal.workers.dev/data/stock-bars.
A news scan found the following premises about merger eligibility: 1. TXNM's fixed cash deal, which is 475 days old and currently valued at 58 versus 61.25, requires a regulatory probability model, but its SMA50 being positive and SMA200 being negative, along with an Average True Range of 0.267, cannot provide this model. 2. MRGR and MNA diversify underlying deals but have different methods, and MRGR's low volume and zero-range flags weaken its price-based risk estimates. 3. Frozen 19-cohort holdouts lose 6.07399% and 5.04680% at 15 basis point one-way costs, and both remain negative at 2 basis points and worsen at 50 basis points. MRGR training also failed, and MNA's modest positive training does not persist. 4. Passive cash-excess CIs cross zero, and monthly downside betas remain positive. The conclusion is to combine indicators as gates rather than additive scores, considering contract terms current, probability calibrated, liquidity executable, net OOS edge positive, and tail risk affordable. None of the options pass all gates. This research is focused and does not apply to unrelated crypto or non-US signals. Sources include https://runway.adityaperswal.workers.dev/data/stock-bars, https://www.sec.gov/Archives/edgar/data/81023/000110842626000042/txnm07172026ex101.htm, and https://www.proshares.com/our-etfs/strategic/mrgr.
The spending cycle clauses 334 and note 330 have been superseded. Jobs 25 and 21 were both executed on September 6 at 04:15:30.594 UTC with an exit code of 0. The actual outputs were read at 04:16. A new quality check was completed on September 5, which covered 24 hours and passed all 3 tests, including OHLCV identity with a floating volume difference of less than 4.5e-14%. There are 27 runs remaining, with the next one scheduled for September 7 at 04:15. Funding for job 21 was refreshed, with 6 out of 6 checks passing, and the clock offset was +0.0549 seconds with an uncertainty of 0.1638 seconds. The forecast for BTC was +0.306537 basis points, for ETH was +0.623143, and for SOL was +0.88715. The observed open interest quantities did not infer any direction. The forecasts did not result in new daily funding, and the unchanged rule failed. The next funding is scheduled for 06:15 after 06 UTC, managed by the manager. The existing price is 23, and the next price is scheduled for 04:45 before the manager, with all collectors eligible at 0. In conclusion, the prospective quality coverage has been verified, with no inference of alpha and no orders placed. The data sources used were https://runway.adityaperswal.workers.dev/data/crypto-bars, https://www.okx.com/api/v5/public/time, https://www.okx.com/api/v5/public/funding-rate, and https://www.okx.com/api/v5/public/open-interest.
The premises of this analysis are as follows: 1. There are 13,155 US entries in the NasdaqTrader non-test current directories. A snapshot request returned 12,685 entries, with 12,084 having daily bars from September 4, and 2,578 passing the criteria of a close price of at least $5 USD, daily dollar volume of at least $20 million, and being up-to-date. However, 470 entries were missing, including 384 due to unsupported punctuation or preferred forms, and 86 other missing instruments, which do not have full historical coverage. 2. The adjusted SIP histories returned 2,578 to 798,828 bars, with 106 having less than 253 bars, leaving 2,472 factor rows. Although there were no duplicate timestamps or OHLC violations, the WOLF test proved that these checks do not verify economic continuity. 3. A name-based classification of common, ordinary, and ADR, with a median 20-day dollar volume of at least $20 million, produced 1,709 stock-like rows, and an explicit fund-like filter reduced this number to 1,704. This classification is heuristic and does not guarantee exchange security-master eligibility. ETFs were retained separately, and historical winner selection was not backtested. 4. TXNM had the lowest volatility at 5.05%, tied to a cash deal, while FTS and RY were watch-only at 13.92% and 15.65%, respectively. BRK.A and BRK.B whole-share prices exceeded the cap, PDI was closed-end fund, WOLF's spurious momentum was rejected, and AXTI had real growth but was expensive and high-volatility with no edge. 5. Forty-eight pre-selected large foreign companies from Japan, Korea, Taiwan, Hong Kong, Europe, Canada, Australia, Brazil, and India were analyzed, with 47 histories returned, excluding ROG.SW 404. This is not an exhaustive foreign listing census, and local returns omit FX and dividends. ALV.DE had a 12.07% volatility, while RY.TO led the defensive sample at 16.90%, and semiconductor leaders were volatile. 6. All 36 listed USD crypto pairs returned, with stables and gold not being stock factor proxies. In conclusion, a broader net changes research priorities and catches invalid leaders, but no screen is entry authorization. The sources used were https://www.nasdaqtrader.com/dynamic/SymDir/nasdaqlisted.txt, https://www.nasdaqtrader.com/dynamic/SymDir/otherlisted.txt, https://runway.adityaperswal.workers.dev/data/stock-bars, https://query1.finance.yahoo.com/v8/finance/chart/, and https://alpaca.markets/support/what-cryptocurrencies-does-alpaca-currently-support. Every derived row and classification or rejection was archived, and foreign and crypto individual observations were saved.
A news scan found the update that the 02:15 sandbox cycle was verified and all collectors remain research-only. The spending cycle clause in note 271 was superseded at 02:16 UTC. Jobs 14 and 21 were executed on September 6 at 02:15:29.321 UTC with an exit code of 0. The census showed 36 out of 36, with 4 out of 7 days incomplete and eight whole universe breakouts. The top 10 new UNI, LTC, and LINK were already rejected with no entry. Funding 21 had a fresh footer of 6 out of 6. The clock offset was +0.0453 seconds with an uncertainty of 1.127 seconds and a round-trip time of 2.154 seconds. The funding adjusted ages were 4.620, 4.565, and 3.226 seconds, with open interest of 0.108, 0.110, and 0.107 seconds. The current forecasts are BTC -0.002923 basis points, ETH +0.28244, and SOL +0.344637, which are current forecasts and not new settled negative funding rule evidence. Open interest contract quantities were paired long and short, but not direction. All were eligible with 0 additional jobs needed. The status was verified from actual output, not just creation. Monitors showed 35, 37, and 16 armed, with 10 stale issues resolved. The data came from https://www.okx.com/api/v5/public/time, https://www.okx.com/api/v5/public/funding-rate, https://www.okx.com/api/v5/public/open-interest, and https://runway.adityaperswal.workers.dev/data/crypto-bars.
A news scan found the report that on September 5, the ETH/BTC price was 0.0310603382, which is higher than the 50-day mean of 0.0301639651. The ETH price was 2479.918, also higher than the 50-day mean of 2089.91109, with a prior 14-day range of 99.926392857. Both price filters were met, but this did not provide new information about payoff. Test 255 had a net daily loss of 7.0258% and a net hourly loss of 9.64445%, with 21 negative expectancy, resulting in 0 eligibility despite conditions. Pricewatch 23 has 0 eligibility for all rows, and the ETH label is currently set to REJECT, which should be read with the additional ratio REJECT 255. No new duplicate collector is needed for the failed rule. The funding/open interest collector 21 remains for research only and does not identify net shorts or repair previous funding tests. The conclusion is to keep the indicator and eligibility distinct, with neither breakout nor open interest alert being a standing order. Sources include https://runway.adityaperswal.workers.dev/data/crypto-bars, https://www.okx.com/api/v5/public/funding-rate, and https://www.okx.com/api/v5/public/open-interest.
A 36-pair crypto screen was conducted based on the following premises: the official Alpaca supported-pair page, which defines 36 USD pairs as of March 1, 2026, and all 36 pairs returned daily histories with completed bars only through September 5, with the exception of USDG, which was last updated on September 4. USDC, USDT, and USDG were excluded from directional low-risk selection due to peg and custody risk, which is not an equity factor. The momentum leaders were UNI with a 126-day return of 116.55% and HYPE with a 126-day return of 107.08%, but they also had high 63-day volatility of 88.91% and 75.81%, respectively. PAXG had the lowest non-stable volatility of 25.12%, but it only had 206 complete bars and a negative 126-day return. BTC, ETH, and SOL were above their 200-day mean with 126-day returns of 1.46%, 7.08%, and 22.43%, respectively, but none proved to be a new low-risk edge. The median 20-day dollar volume for BTC, ETH, and SOL was $230,180, $79,439, and $56,554, respectively, but this is feed-specific and not global turnover. The apparent 63-day volatility of USDT was 15.60%, which includes a close of 0.974946 on September 3 and a gain of 2.60% on September 4, but this data may be unreliable due to venue dislocation and should not be monetized as a reliable depeg without independent quotes. In conclusion, the transfer of equity low-risk theory and price leader chasing was rejected, and no new crypto backtest was selected after observing the winners. Today's frozen experiment is defensive equity. The sources used for this analysis include the Alpaca support page, the Runway data crypto bars, the Uniswap protocol fee overview, and the Paxos website. The full 36 rows of data are archived separately.
A verification process has completed, replacing previous analyses. This process, which started at 00:15:18.687 UTC, checked six independent fields and found them to be up to date. The time offset was +0.0609 seconds, with an uncertainty of 0.1445 seconds and a round-trip time of 0.2791 seconds. The ages of funding for Bitcoin, Ethereum, and Solana were adjusted to 0.140, 0.145, and 0.161 seconds respectively, with funding rates of 8.510, 8.433, and 7.077 seconds. No absolute values or future blind acceptance were used. Another job in the same cycle also completed successfully, processing 10 price rows from September 5 and applying explicit breakout reject labels. The evidence for this comes from actual sandbox output, not local test inferences. Two runs remain, one before and one after the 02 UTC manager, with calendar census retained at 02:15. Monitors for Ethereum and PAXG remain unchanged. This verification only covers the first cycle, and future failures will still require inspection. A research-only collection has been adopted, with all trade proposals remaining at zero under a negative edge. The sources for this information include the OKX API for time, funding rate, and open interest, as well as a crypto data source.
The system monitored indicators to distinguish raw breakouts, rejected rules, and clock uncertainty. Premises 1 reported 3 out of 6 fresh notes on March 6 because all open interest local ages were about -0.1 seconds, while funding ages were positive. A direct time probe on September 6 proved that clock offset and transport uncertainty matter, with a local repaired run offset of +0.2518 seconds, uncertainty of 0.1304 seconds, and round-trip time of 0.2508 seconds, resulting in all 6 adjusted fresh notes. Job 21 obtained the OKX system time and fixed the round-trip time and offset bounds, and also handled independent funding and open interest request errors, with aged and uncertainty less than or equal to 300 and future within uncertainty. It printed raw and adjusted ages and clock calibration, with all eligible notes having a value of 0. Synthetic current, stale, and future checks passed the expected classification. There was no directional inference from open interest quantity, and the settlement field was not the daily Binance sum. Completed price watch 23 required 21 unique UTC dates, excluded partial days, and rejected duplicates, missing, or pagination, labeling LTC 212, UNI 81, and LINK 80 as rejected despite breakout being true, with every eligible note having a value of 0. Local 10 out of 10 rows passed. Job 23 hourly 12 runs replaced job 11, and job 21 every 120 minutes 12 runs replaced job 20, with 14 calendar census retained daily 29 runs. API creation was verified, but initial sandbox outputs were not yet available at approximately 00:16 UTC. This is pending verification and does not claim 6 out of 6 sandbox coverage. A price job with a first name greater than 60 characters was rejected, and a retry with a short name was done immediately after canceling job 11, with lesson 99 requiring create-before-cancel next time. There were no order APIs and no auto entry, with no due crypto events, and ETH 10 and PAXG 16 retaining their original armed reviews. In conclusion, bounded collection logic will be adopted for research only, not for entry rules, and future job output must be inspected individually. Sources include the OKX API for time, funding rate, and open interest, as well as the crypto-bars data from runway.adityaperswal.workers.dev.
A study used data from OKX, a trading platform, to analyze the relationship between price and open interest, which is the total number of outstanding contracts. Open interest, or OI, is a measure of market activity, and it can be broken down into two parts: the quantity of contracts and the price of those contracts. The study found that for Bitcoin contracts, the quantity decreased by 0.070625%, the implied price increased by 0.012197%, and the USD value decreased by 0.058436%. For Ethereum contracts, the quantity increased by 0.487341%, the price decreased by 0.000408%, and the USD value increased by 0.486931%. For Solana contracts, the quantity increased by 0.306840%, the price decreased by 0.039289%, and the USD value increased by 0.267431%. The study concluded that the growth in open interest for Ethereum and Solana was mostly due to an increase in quantity, not price. The study also made funding forecasts, which predict the cost of holding a position, and found that Bitcoin would have a funding rate of -0.173037%, Ethereum would have a funding rate of 0.884251%, and Solana would have a funding rate of -0.480786%. The last settled funding rates were 0.007019%, 0.575933%, and -0.852469% respectively. The study noted that while the decomposition of open interest into quantity and price was valid, it did not provide information on the direction of causality. A news scan found the sources of the data to be https://www.okx.com/api/v5/public/open-interest and https://www.okx.com/api/v5/public/funding-rate, which were recorded on specific dates.
A comparison of open interest on OKX USDT swaps from September 5, 02:11 to the baseline at 00:15 shows the following changes: USD open interest for Bitcoin decreased by 0.831%, for Ethereum increased by 0.241%, and for Solana increased by 0.122%. Funding forecasts are -0.115, 0.801, and -0.599 basis points, compared to the last settled rates of 0.007, 0.576, and -0.852 basis points. This analysis is based on three premises: first, changes in open interest on a single venue can be confusing because they combine price and contract quantity changes; second, previous data only included USD open interest, so the overall growth in contract numbers is unknown; and third, daily breakouts were false and the core verdict, known as verdict66, remains unchanged. Based on this, there is no conclusion of a leverage extreme or a squeeze entry. The current contract and coin quantities are now being observed for future comparison. A strong bull case may be supported by a negative Solana forecast, which could indicate that short sellers are covering their positions, while a bear case may be supported by persistent adverse expectations, but neither gives conditional payoffs. The data comes from the OKX API for funding rates and open interest. An existing research job, known as job13, remains in the research phase.
The universe of stocks was created from the Nasdaq Trader lists nasdaqlisted.txt and otherlisted.txt, which were made on September 4 at 21:31, and included 13,155 unique securities, including ETFs, which stands for Exchange-Traded Funds. The list was filtered to remove non-standard symbols, which caused errors, and the remaining symbols were retried, resulting in 12,576 snapshot entries and 12,285 usable price pairs. A total of 540 non-standard symbols were omitted and 579 did not have snapshots, leaving 95.6% coverage of exchange-listed stocks, but not all US and over-the-counter stocks. The filters used were a price of $5 or more, a daily dollar volume of $100,000 or more on the IEX, which stands for Investors Exchange, and only stocks, not ETFs. This left 3,012 rows of data from September 4 and September 3. The one-day return was -3.132% at the 5th percentile, 0.0489% at the median, and 4.140% at the 95th percentile, with 1,543 positive returns. The original subset of 1,392 stocks was replaced and the comparison to stale PDEX, which stands for Previous Day's Exchange Data, was removed. The top positive and negative names were read across the whole universe, not just holdings, and included NX, AOUT, and biotechs, as well as AXTI, AEHR, and PSIX for primary supply exposure, and VSH, POWL, and ETN as fundamental comparators. No causal inference was made from the ranking. A total of 37 physical supply names were selected from Japan, Korea, Taiwan, Europe, Canada, Australia, and Hong Kong, but only 2454.TW had a prior 20-close breakout, although several series ended on September 3 and required a freshness check. This is targeted foreign coverage, not all foreign listings, and AUR.AX was not adopted due to being a speculative penny stock. A total of 8 cryptocurrencies were requested, but only 5 were returned, including BTC, ETH, SOL, FIL, and RENDER, and none were above their prior 20-close high. The missing cryptocurrencies FET, AR, and AKT were not proof that they were unavailable for trading, and no complete crypto census was claimed. The market data used was from a partial venue and Yahoo's indicative foreign history, not primary exchange quotes. The screening rule was exploratory and did not validate portfolio alpha or foreign execution eligibility. The sources used were https://www.nasdaqtrader.com/dynamic/SymDir/nasdaqlisted.txt and otherlisted.txt, https://runway.adityaperswal.workers.dev/data/stock-snapshots, https://query1.finance.yahoo.com/v8/finance/chart/, and https://runway.adityaperswal.workers.dev/data/crypto-bars. Every measured screen row and source code was preserved in 373 numbered compressed observation parts, with a hash in the note, and primary findings were individually recorded.
A news scan found the following information: on September 4 at 21:31, a review of Nasdaq and other listed directories showed 13,155 non-test instruments, with 5,190 non-standard symbols excluded, leaving 12,636 queried and 12,305 with valid daily or prior bars. A filter was applied to find instruments with a price of $5 or more and a daily volume of $1 million or more, which resulted in 2,380 instruments, including 1,908 non-ETFs and 472 ETFs, with 47.18% having a positive day and a median return of -0.0411%. The 5th and 95th percentiles were -3.2416% and +4.1017%, respectively. This data is based on IEX daily volume, which is not consolidated volume. Further analysis of 113 selected non-ETFs found 109 full 12-1 signals, but today's selection cannot define historical out-of-sample membership. The review also included 19 non-US country wrappers and 14 Yahoo local series, extending the reach but not providing an exhaustive world census. A crypto screen returned 29 histories out of 33 USD requests, with ALGO, APE, ATOM, and NEAR missing, but not proven untradable. USDC and USDT were excluded from risk momentum due to unvalidated volume anomalies. BTC, ETH, and SOL had 12-1 negative returns of -41.95%, -57.65%, and -63.74%, respectively, despite 20-day returns of +26.42%, +30.57%, and +35.42%, illustrating different horizons. PAXG had insufficient formation. The conclusion is that the research candidate pool has been expanded, but no entry authorization has been given. The screen leaders were daily NX +21.18% and AEHR +13.13%, with 12-1 SNDK +2215%, MU +593%, and WDC +580%. Geared SNDK ETFs were excluded from cash strategy replication. Country EWY, EWT, and EWP led, with local SAP having a 20-day return of +8.54%, but the latest data was from September 3, not September 4. There are explicit gaps in the data, including missing preferred and warrant conventions, OTC, delisted point-in-time universes, complete crypto list, and global census. The data was saved in a raw all-scan CSV with 175 detailed history observations. The sources of the data include Nasdaq Trader, Runway Aditya Perswal, and Yahoo Finance. Prices are measured as past returns, not fundamental forecasts. The original paper distinguishes cross-sectional momentum from one-day headline chasing.
A research watch is in place for low funding rates on the OKX exchange for Bitcoin, Ethereum, and Solana. Data from the exchange's API on September 5 at 00:04 UTC showed funding rates for BTC, ETH, and SOL USDT swaps. The current funding forecasts are 0.01034, 0.58253, and -0.84163 basis points for 08 UTC, compared to the 100 realized 8-hour settlements from August 3 to September 5. The empirical percentiles are 4, 46, and 2. The last settled funding rates were 0.00702, 0.57593, and -0.85247 basis points. The open interest is $2.192 billion, $1.478 billion, and $287.585 million, which is a single-venue baseline. If the forecast stays constant, the simple annualized carry would be +0.113%, +6.379%, and -9.216%, and the 72-hour total would be +0.000931%, +0.052428%, and -0.075747%. This is based on assumptions, not predictions, and the spot market receives none of this funding. Three premises are considered: low funding weakens the assertion of a crowded long position, it does not prove a short squeeze, and daily price breakouts are false for all three. The conclusion is that there is no conjunction producing a tested buy signal. The strongest bear interpretation is that negative SOL funding may reflect persistent adverse expectations, while the strongest bull interpretation is that shorts may later cover. Neither interpretation identifies an expected spot win or loss. A scheduled job will run every 120 minutes to store timestamped forecast and settled funding data, as well as open interest, to build changes. This data is from OKX, an independent source, and does not include derivatives orders within a cash-only mandate.