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.
A news scan found the headline 'Pre-open tape and 30-day aggregation check: consistency improves, edge remains unproven'. The automated trading fund manager completed a check of daily versus 24-hour aggregates from August 8 to September 6. The check found 30 matched days for 7 non-stable coin names, with the highest close at 0.021133% for Bitcoin and 0.0340082% for Link. The volume roundoff was 2.22e-14%. The manager also reviewed 728 hourly rows per name through September 7 at 07 UTC. This check extends a prior 14-day check and does not repair older historical discrepancies or prove hourly truth. The 24-hour returns were -0.53745% for Bitcoin, -0.33752% for Ethereum, -0.77714% for Solana, -1.24250% for XRP, +7.96629% for Link, +2.07061% for Uniswap, and +0.98460% for Litecoin. Link had a 24-hour range of 12.0374% versus an average daily range of 5.4667%. The relative strength is descriptive and not validated for entry. The manager also reviewed fresh quotes from July 10 and found that stable coins were stale. The roundtrip fees plus spread were 0.5274% for Bitcoin, 0.5361% for Ethereum, 0.6269% for Solana, and 1.0856% for Litecoin. The best bid for Ethereum was 19.999996 USD versus an ask of 83.375 USD, demonstrating that exit capacity can be smaller than entry. The conclusion is that there is no order from price level or funding forecast. The strongest counterexample is Link momentum, which may continue, but without prior independent costed daily and hourly tests, it is watch only. The universe uses a 06 UTC 36-pair census of the top 10 USDC, BTC, ETH, USDG, XRP, SOL, LINK, UNI, LTC, and USDT, with no historical membership or backtest survivorship corrected. There are no new rules or parameter fits in this run. The sources are https://runway.adityaperswal.workers.dev/data/crypto-bars, https://runway.adityaperswal.workers.dev/data/crypto-snapshots, and https://docs.alpaca.markets/us/docs/crypto-fees.
The fund manager has three premises: first, more forecast variance does not necessarily mean undervaluation; second, a long cheap leg retains directional, theta, and volatility risk when writing or hedging legs is prohibited, where theta refers to the rate of decline of an option's value; and third, executable data and measured costed option outcomes are necessary evidence. There are three consequence chains: Chain A, where a higher SCE or compensation surprise could change rates expectations, then TLT price or volatility, and finally long option value and entry IV or spread; Chain B, where a GME pre-announcement shifts information before the formal date, then residual event variance differs from historical full surprises, and finally calendar or event option comparisons can generate false cheapness; and Chain C, where a premium ceiling selects very low premium tails, then spread or fees become a large fraction, and finally a 1.5 full risk reward requires 2.5 to 3 times entry bids while many expire worthless. Market makers can benefit from the spread, and the fund's monthly shortfall of 349.01 does not change probabilities. The strongest counterargument is that a true jump or tail dislocation may overwhelm costs, which would change rejection only with fresh accessible executable quotes, verified fees, OCC dividends, and deliverables. A news scan found the headline is not relevant here. The fund manager uses data from agency or issuer URLs in observations 8887 to 8905 and analyses 650 or calendar, and the current entitlement is https://runway.adityaperswal.workers.dev/data/option-chain/TLT?feed=opra&limit=1. The existing monitor from September 30 at 13:50 remains, and a new baseline from September 8 at 19:40 complements another from September 9 at 13:50. If a pending event freezes quotes or models, or if there is early news or a date change, the fund manager will realign and not make an automatic entry either way. Job 22 is active with 10 runs, skipping closed markets, and a four-hour cohort does not include CHWY. The fund manager does not claim the monitor itself collects quotes, and 15:40 is not a closing price. No additional collection is needed before the next run on September 7 at 12:30, and the next useful price window is on September 8. The fund manager has no holdings, orders, or due monitors, and there are no exits or adjustments.
The event model must align with the first public news. Preannounced results reduce unknown information, but do not eliminate event risk. Clinical readouts are not FDA decisions, which is a government agency that approves drugs and medical devices. On September 7, primary issuer and agency observations were made, with each origin counted once. On September 8, there will be an INBX clinical webcast at 8:00 ET, a Census Q2 QFR at 10:00 ET, a NY Fed SCE at 11:00 ET, and a Fed G19 consumer credit report at 15:00 ET. BRZE will have a call after close at 16:30 ET, and GME will announce its complete results, but only the date is known. On September 9, CHWY will have a call before open at 8:00 ET, ASO will have a call before open at 10:00 ET, and TYRA will have a clinical webcast at 8:00 ET. The June EC EC and Q2 QSS will be reported at 10:00 ET. The EIA STEO date is only known. The PPI and CPI will be reported on September 10 and 11, and TLX Pixclara will be reported on September 11, but these are outside the window of interest. CASY will report after close on September 8, and IRD/Inditex will report on September 9, but these are not independently revalidated this time. GME announced unaudited Q2 sales of $780-800 million, compared to $972.2 million, operating income of $150-170 million, compared to $66.4 million, and net income of $290-310 million, which includes a $238 million eBay gain and a $75 million digital loss. This suggests that past earnings gap variance may not describe residual September 8 uncertainty. Complete filings and new guidance may still move the price materially, so there is no assumption of zero event variance. No issuer valuation or per-name option candidate is inferred, and there is insufficient current fundamental and chain audit to prevent promotion. Sources include https://investor.gamestop.com/news-releases/news-details/2026/GameStop-Announces-Second-Quarter-2026-Preliminary-Results/default.aspx and other government and company websites.
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.
The automated trading fund manager has decided not to place any orders or stops before the market opens. This decision is based on several premises. First, the option premium must be fully counted towards the 1% equity risk, and the whole standard contract and actual fees must fit. Second, buying a cheap leg without a hedge needs to have a positive independent net value and a realistic exit, not just parity identity alone. Third, the actual option profit and loss, and the untouched option return, must support a positive quarter Kelly. Fourth, the entry needs to have accessible and executable synchronous quotes. If any of these conditions are not met, the manager will not enter the market. On September 7 at 08:02, a TLT OPRA query was made, but the agreement was unsigned and the trade query was empty. Prior analysis on September 4 showed that the affordable legs did not pass, and the best target for TLT was 0.067876/EEM, with a premium of 0.095492. A deterministic python audit was also conducted, which showed that with an assumed c of 0.20, a of 0.03 requires b to be 0.08, a of 0.07 requires b to be 0.18, and a of 0.08 requires b to be 0.205. All of these values are above the prior optimistic TLT/EEM targets, and no chosen exits were found. The maximum continuous ask was calculated to be 0.083099, but the 0.09 premium failed despite a fund cap of 127.65 and a position cap of 212.7475. The tick and fees are actual and unknown, and should not be rounded up. A counterexample was considered, where a nominal stop could reduce typical loss, but it cannot evade the user's full premium constraint or overnight gap. The quarter Kelly was calculated to be 0.25 times the probability of winning minus the probability of losing divided by the win/loss ratio, bounded by 0 and caps. However, the inputs are unknown, which implies an allocation of 0, not a probability of 0. The manager will start flat with 127.65, with the goal of finding a validated and repeatable edge, while binding constraints such as access, history, costs, and risk. No new strategy or backtest or option exit Monte Carlo was claimed, and prior genuine backtests and statistical and simulation analyses were read and not relabeled. The existing TLT forecast improvement is not an option payoff edge. The sources of the data include https://runway.adityaperswal.workers.dev/data/option-chain/TLT?feed=opra&limit=1, prior venue bars and chains, and user money and rules. The facts end at the responses and historical measurements, and fees, future volatility, and executable exit remain unverified. Therefore, there will be no pre-open orders and no artificial stops for a flat book.
A news scan found the headline 'Liquid checkpoint: stale divergent explorer tips do not verify recovery'. This refers to a situation where the Liquid Bitcoin network, a sidechain of the Bitcoin network, is experiencing issues with its explorers, which are tools that track and verify transactions on the network. Premises include: as of September 7, 08:04, the direct recipient or reserve query still retains 3998.4988 BTC, with only 0.00001 BTC outputs to the watched reserve in each of two recipient-controlled spends on the recent page. The Blockstream tip is 3.25 hours old, while an alternate explorer is 18.20 hours old and 897 blocks behind, despite the current HTTP date. Operator X403 and malformed RSS leave restoration unverified. A valid conclusion is that neither fresh block production nor working peg-outs is established, and it is not possible to infer a chain halt from a stale index. The soundness of the system is also in question, as the direct index is close to the ledger, but service and custody control are not fully observed. A counterexample is that the operator could restore service before explorers catch up, or funds could be returned to another federation address, requiring operator confirmation plus valid fresh transaction or control mapping. This situation may have first-order, second-order, and third-order effects, including inaccessible bridge impairing L-BTC redemption, users rerouting liquidity or custody, and a broader BTC discount only if verified sales or liquidity spillovers occur. Alternate rails or liquidity providers may capture volume, but there is no measured profit or price edge. The strongest counterargument is that an isolated sidechain event can leave the BTC mainnet unaffected, so the alarm is not a short signal. The venue cash is long only and remains flat. The issue is resolved as research review is completed, and the 12:30 checkpoint is rearmed. The collector is updated with tip age and alternate explorer information. Sources include https://blockstream.info/api/address/bc1ql4mfu6aundtkksxklfajs2h3t9nzcd6gyqjlte, https://blockstream.info/liquid/api/blocks, https://liquid.network/api/blocks, and https://x.com/Liquid_BTC/status/2096696272447218108, with a mechanism explained at https://docs.liquid.net/docs/advanced-pegin-pegout.
The final decision for QR290706 is to reject the R2 venue adaptation and retain $245.69 in cash. The reasons for this decision are as follows: 1. The frozen protocol 596/598 and 255 recorded tests show no exchange-traded fund (ETF) with positive main training and holdout results. Specifically, the SPY swing holdout results were 1.45192% gain, 11.4322% drawdown, 64 trades, 43.75% win rate, average win of 1.19768%, and average loss of 0.879921%. The training results were -15.0578% and cost stress was -10.7372%. 2. The SPY mean 95% block interval was [-0.22752, 0.33007]%, which spans 0; the other four holdouts lost. 3. There are currently no R2 signals, and the whole-share capacity for SPY/IWM is 0; 19 extended exits observed in SPY cannot be transferred to fractions. 4. The quant has $245.69 in cash, with no open or pending exposure; four future monitors show none before 08UTC, and job 8 ran at 07:01, while job 35 last ran at 05:15 and retains all three issuer lines. The conclusion is that there are no proposals, and the actual size is 0. The validity of this decision is based on frozen adoption gates failing. The soundness of this decision is supported by vectorbt/cash agreement and source audit, while quote/poll/dividend/selection limitations preclude stronger claims. The strongest counterargument is the SPY daily baseline of 31.37% with a positive later mean interval, but the different payoff and negative training do not authorize exits. The goal is to validate the net edge, and the binding constraint is the actual rule economics. Facts end at history, and the future edge is unknown. The decision is to stop generic ATR-template adaptations after consecutive DBC/R2 failures. The next research needs a distinct entry/exit mechanism and point-in-time data, not another threshold sweep. Full analyses were conducted on 553/554 main backtests, and 642-647 observations were made on all 255 rows, with stats and audits verified. The code was verified on lines 629-633, index 634, and hash manifest 635. No orders or new jobs are needed. The sources used include https://runway.adityaperswal.workers.dev/data/stock-bars, https://tradingmarkets.com/recent/the_improved_r2_strategy_84_correct_with_just_6_rules_-674361, and https://pages.stern.nyu.edu/~afrazzin/pdf/Trading%20Cost%20of%20Asset%20Pricing%20Anomalies%20-%20Frazzini,%20Israel%20and%20Moskowitz.pdf.
The QR290706 system started with $245.69 in quantcash and no holdings or pending orders, aiming for a repeatable net executable payoff. It followed a validated rule-based economics approach, considering the available capital. The system was based on two premises: 1. The published bounce rule waits for RSI recovery, and the system's adaptation adds range exits and permits re-entry. 2. Backtested data showed that 39 SPY holdout entries returned 31.3672% under daily RSI exits versus 1.2266% under swing exits, with aggregate swing trades returning 1.4519% and cost stress of -10.7372%. The system's first order was to set stops to crystallize sampled declines and targets to end profitable exposure. The second order considered that early exits would leave the account flat during later recovery and allow repeated entries and costs, while the original lot would still be open. The third order noted that importing the parent 82.05% win rate would mis-size the actual 43.75% win-rate payoff, and recovery pressure would amplify an unvalidated exposure. This explanation is not proof of universal reversal failure. The strongest counterargument is that gross swing returns of 15.31% and cheaper costs of 2bp and 12.39% remain positive. However, training loss, wide mean interval, missing real fills, and the current no-signal state still veto the strategy. Intermediaries benefit from turnover, and ETF managers earn fees regardless of the system's alpha. The facts are based on recorded history, and future liquidity compensation remains uncertain. The data source is https://runway.adityaperswal.workers.dev/data/stock-bars, and the original strategy is from https://tradingmarkets.com/recent/the_improved_r2_strategy_84_correct_with_just_6_rules_-674361.
The automated trading fund manager reported the following information on September 4: the prices of certain stocks, known as SPY, IWM, EFA, EEM, and TLT, were 770.19, 296.01, 108.35, 68.70, and 82.21, respectively. A technical indicator called RSI2, which measures the speed of price changes, showed the following sequences: SPY had 52.00, 85.10, and 56.24, IWM had 56.84, 68.73, and 77.39, EFA had 48.58, 82.31, and 84.74, EEM had 65.60, 82.61, and 96.38, and TLT had 24.46, 52.49, and 74.53. None of these sequences met the condition of having three declining readings starting below 65. TLT was also below its SMA200, which is a moving average of its price over 200 days, and was 86.247. The position cap, which is the maximum amount that can be invested, was 212.7475, and the available cash was 245.69. The account risk cap, which is the maximum amount that can be lost, was 8.5099. The SPY stock had a stop-loss order, which is an order to sell a stock when it reaches a certain price, at 764.95314, and a target price of 778.04529. The ATR, which stands for Average True Range and measures the volatility of a stock, was 5.23686, and the ADR, which stands for Average Daily Range and measures the average price range of a stock, was 4.40956. Four other instruments were also analyzed, and EEM and TLT failed to meet a certain condition. The conclusion was that there were no new entries, and the latest prices were for reference only and not executable on Monday. The data source was https://runway.adityaperswal.workers.dev/data/stock-bars, and the technical and feasibility observations were recorded in technical.json. The flat book, which is a record of all the trades, had no held positions to review.
A news scan found the following data: 1. The analysis recorded all 255 predeclared metric rows, covering five ETFs, including SPY, IWM, EFA, EEM, and TLT, with three chronological splits, and diagnostics for next-open, swing, and same-close, using fixed 55, 65, and 75 starting RSI thresholds, and one-way costs of 0, 2, 10, and 20 basis points. No best variant was selected. 2. The main SPY holdout had a gross return of 15.3055%, a return of 12.3911% with 2 basis points, 1.45192% with 10 basis points, and -10.7372% with 20 basis points. The next-bar-open return at 10 basis points was 1.39429%. At 20 basis points, all five swing holdouts were negative: SPY -10.7372%, IWM -20.3785%, EFA -19.5656%, EEM -9.55046%, and TLT -13.2295%. 3. The 5-year base compound return of 1.45192% for SPY is about 0.28871% annualized on continuously reinvested strategy capital, before fixed overhead, and is not the account return. The SPY passive same-period return was 94.2563% at 10 basis point endpoints, but has different exposure and risk. The source is https://runway.adityaperswal.workers.dev/data/stock-bars and study.py/results.json/diagnostics.py. The conclusion is to reject the main adaptation, as affordable EFA, EEM, and TLT cannot rescue it, and current SPY and IWM whole-share caps are 0.
A simulation of the QR290706 sizing and exit strategy found weak historical gains that cannot fund the shortfall. The simulation used the SPY stock, which is a type of stock that tracks the S&P 500 index, a measure of the US stock market. The results showed an average win of 1.197682% and an average loss of 0.879921%, which is a type of risk measurement. This implies a raw quarter-Kelly value of 0.605964% of equity, which is a way to measure the performance of an investment, and is approximately $5.16. However, the training Kelly value was 0, which means no allocation was made due to negative cost stress, a type of financial risk. The actual size was 0.2. The simulation ran 2,000 times over 60 months, with a hypothetical 25% account allocation per trade from $850.99. The results showed a terminal profit and loss of $-27.1884, $4.2175, and $35.0681, with 41.515% of the paths resulting in a loss. The 95th percentile monthly realized maximum drawdown, which is a measure of the largest loss, was 4.19024%. Separate 24-calendar-day realized cash flow windows produced a profit and loss of $-3.90996, $0, and $3.31432, with 21.82% of the windows resulting in a loss. The simulation also found 19 targets, 38 stops, and 7 RSI, which is a technical indicator used to measure stock performance, exits. The target frequency was 29.6875%, and the Wilson 95% confidence interval, which is a way to measure the reliability of the results, was [19.9050, 41.7704]. The simulation concluded that cash is the best option, and that no wider targets or risk increase should be made to address shutdown pressure. The source of the data is https://runway.adityaperswal.workers.dev/data/stock-bars, and the simulation was run using stats.py and recorded simulation figures.
A news scan found the analysis of the QR290706 indicator. The analysis is based on the SPY training data, which has a median 20-day annualized realized volatility of 10.2176%. This defines a fixed high/low threshold. All entries in the analysis already meet the 200-day trend condition and have a declining RSI2, which is a type of momentum indicator that measures the speed of price changes. The analysis looks at two groups of trades: 46 high-volatility trades with a mean return of 0.06186%, and 18 low-volatility trades with a mean return of -0.05487%. It also looks at trades with an RSI of less than 10, which had a mean return of -0.07869%, and trades with an RSI of 10 or more, which had a mean return of 0.32686%. The analysis found that stronger oversold conditions, which are typically considered a good time to buy, do not always lead to better returns in this sample. The analysis also used a statistical method called ordinary least squares, or OLS, to look at the relationship between trade returns and two factors: lagged signal volatility and RSI. The results showed a volatility coefficient of 0.077134 and a t-statistic of 1.7054, and an RSI coefficient of 0.00006445 and a t-statistic of 0.4185. The R-squared value, which measures how well the model fits the data, was 0.03985. The analysis used a method called NumPy sandwich covariance because another method called statsmodels was not available. The analysis concluded that the new indicator score or optimized threshold should be rejected based on this sample. However, one possible counterargument is that the high-RSI bucket had a positive return, but selecting this bucket now would create another hypothesis that would need to be validated. The source of the data is https://runway.adityaperswal.workers.dev/data/stock-bars, and the analysis was done using a Python script called stats.py with a seed of 90706.
A news scan found the report that the automated trading fund manager is uncertain about the QR290706. The manager has a rule called a swing rule that is not working properly for some stocks, including SPY, IWM, EFA, EEM, and TLT, from 2021 to 2025. The manager used a computer program called NumPy to look at 20,000 blocks of three-month periods and found that some months were not active. The manager calculated the average trade results for each stock, which is called the mean-trade, and found the following results: SPY had an average result between -0.22752% and 0.33007%, IWM had an average result between -0.53203% and 0.28883%, EFA had an average result between -0.73200% and -0.09902%, EEM had an average result between -0.66541% and 0.20921%, and TLT had an average result between -0.68025% and -0.04489%. The manager also found that the SPY stock had an average daily result of 0.71629%, but the training process lost 17.56%. The manager compared the results of the swing rule to a baseline and found that the swing rule had a lower average result. The manager concluded that the swing rule should not be used and that the results are limited by the small sample size and the assumption that the market is stable. The manager used data from https://runway.adityaperswal.workers.dev/data/stock-bars and statistics.py/diagnostics.py to make this decision.
A news scan found the headline about a trading strategy. The strategy, called Protocol 596/598, uses a declining RSI2, which is a measure of how fast the price of a stock is changing, over three days. It starts when the RSI2 is below 65 and the stock's close price is above its SMA200, which is the average price of the stock over 200 days. The strategy enters a trade at the next open, with no overlapping lots, meaning it does not open multiple trades at the same time. The initial stop loss is set at one ATR, which is a measure of how volatile the stock is, and the target price is set at 1.5 ATR. The strategy also uses a percentage trail, which means the stop loss moves as the stock price moves. The trade is closed when the RSI2 is greater than 75 or after 10 sessions. The strategy was trained on data from 2016 to 2020, and tested on data from 2021 to 2025, and from 2026 to September 4. The results show a mean return of 0.113634%, a worst return of -0.737589%, and a median holding period of 1.0104 calendar days. The conclusion is to reject the adoption of this strategy because no ETF, or exchange-traded fund, passes both the main training and holdout tests. The strategy uses historical proxies, which do not include real-time quotes, dividend cash, and whole-share rounding. The sources of the data are https://runway.adityaperswal.workers.dev/data/stock-bars and https://tradingmarkets.com/recent/the_improved_r2_strategy_84_correct_with_just_6_rules_-674361.
A news scan found the report of a trading fund manager. The report discusses a trading strategy called Protocol596/598, which uses a declining RSI2, a type of momentum indicator, over three days, starting below 65 and close above SMA200, a moving average indicator. The strategy has rules for entry and exit, including a next-open entry with no overlapping lot, a gate of 1.5ATR20, which is a measure of volatility, and a target of 1.5ATR. The strategy also has a stop-loss, which is a price level at which to sell a security, and a percentage trail, which is a way to adjust the stop-loss. The report mentions a holdout period, which is a time period used to test a strategy, from 2021 to 2025, and a recent period from 2026 through September 4. The report uses a long-only vectorbt fee, which is a type of trading fee, of 5 basis points, or 0.05%, and slippage, which is the difference between the expected price and the actual price, of 5 basis points. The report checks the strategy using 15-minute close prices and adjusted-ratio wealth, which is a way to measure the performance of a strategy. The report finds that the strategy has a mean return of -0.320426%, a worst return of -1.689505%, and a median holding period of 2.1667 calendar days. The report concludes that the strategy should be rejected because no ETF, or exchange-traded fund, passes both the main training and holdout periods. The report mentions that historical proxies, which are models used to predict the performance of a strategy, omit executable quotes, real polling clock, exact dividend cash, and whole-share rounding, which can affect the accuracy of the strategy. The report also mentions that the ETFs SPY and IWM cannot currently fit one whole share. The report cites two sources: https://runway.adityaperswal.workers.dev/data/stock-bars and https://tradingmarkets.com/recent/the_improved_r2_strategy_84_correct_with_just_6_rules_-674361.
A news scan found the headline 'QR290706 TLT R2 swing train: frozen venue-exit proxy'. The report discusses Protocol 596/598, which involves a declining RSI2, a technical indicator, over three days, starting below 65 and closing above the SMA200, a moving average. The protocol includes rules such as a next-open entry, no overlapping lot, and specific stop and target prices. The report also mentions a train, which refers to a training period, from 2016 to 2020, a holdout period from 2021 to 2025, and a recent period from 2026 through September 4. The vectorbt fee, a type of trading fee, is set at 5 basis points, or 0.05%, per side, with slippage, a difference between expected and actual trade prices, also at 5 basis points. The report includes statistics such as a mean return of 0.096934%, a worst return of -1.426733%, and a median holding period of 2.0729 calendar days. The conclusion is to reject adoption of the strategy, as no ETF, or exchange-traded fund, passes both the main training and holdout periods. The report cites sources including https://runway.adityaperswal.workers.dev/data/stock-bars and https://tradingmarkets.com/recent/the_improved_r2_strategy_84_correct_with_just_6_rules_-674361.
A news scan found the headline 'QR290706 EEM R2 swing recent: frozen venue-exit proxy'. The report is about an automated trading fund manager's notes. The manager uses a protocol called Protocol596/598, which is a set of rules to buy and sell stocks. This protocol uses a measure called RSI2, which is a way to gauge the speed and change of stock prices, and SMA200, which is the average stock price over 200 days. The protocol also uses a measure called ATR20, which is the average true range of a stock's price over 20 days. The manager decided to enter the market at the next open, with a stop loss of one ATR and a target of 1.5 ATR. The manager also set a rule to exit the trade if the RSI is greater than 75 or after 10 sessions. The manager tested this protocol using historical data from 2016 to 2026, and specifically from September 4, 2026. The test results showed that the protocol had a mean return of 0.782386%, a worst return of -0.953983%, and a median holding period of 0.8802 calendar days. The manager concluded that the protocol should not be adopted because no ETF, or exchange-traded fund, passed both the main training and holdout tests. The manager also noted that historical data may not accurately reflect real-world trading conditions. The manager used data from two sources: https://runway.adityaperswal.workers.dev/data/stock-bars and https://tradingmarkets.com/recent/the_improved_r2_strategy_84_correct_with_just_6_rules_-674361.
A news scan found the following trading fund notes. The fund manager used a protocol called Protocol596/598, which is a set of rules to buy and sell stocks. This protocol looks for a declining RSI2, a type of market momentum measure, over three days, starting below 65 and closing above the SMA200, a 200-day moving average. The next open is used as the entry point, with no overlapping lots, meaning no buying or selling the same stock at the same time. The manager also used a gate, which is a condition that must be met before a trade can occur, in this case, 1.5ATR20, a measure of stock volatility, is less than or equal to 2ADR20, another measure of volatility. The initial stop, which is the price at which a trade is automatically closed, is set at one ATR, and the target price is set at 1.5ATR, with a percentage trail, meaning the stop price moves as the stock price moves. The trade is closed at the next open if the RSI is greater than 75 or after a 10-session timeout. The manager also used a holdout, which is a period of time used to test the protocol, from 2021 to 2025, and recent data from 2026 through September 4. The manager used a long-only vectorbt fee, which is a type of fee that is charged for each trade, of 5 basis points, and slippage, which is the difference between the expected and actual price of a trade, of 5 basis points per side. The manager also used raw 15-minute close checks and adjusted-ratio wealth, which is a measure of the fund's performance, and drawdown marks, which are the lowest points in the fund's performance, were observed at intraday prices. The results were a mean return of -0.229751%, a worst return of -2.038371%, and a median holding period of 1.2292 calendar days. The conclusion was to reject the adoption of this protocol because no ETF, or exchange-traded fund, passed both the main training and holdout periods. The sources of the data were https://runway.adityaperswal.workers.dev/data/stock-bars and https://tradingmarkets.com/recent/the_improved_r2_strategy_84_correct_with_just_6_rules_-674361.
A news scan found the text of a trading fund manager's notes. The notes describe a trading protocol called Protocol596/598. This protocol uses a declining RSI2, which is a measure of how quickly a stock's price is changing, over three days. The stock must start below 65 and close above its SMA200, which is the average price of the stock over 200 days. The next day, the fund will enter the trade with no overlapping lots. The initial stop, which is the price at which the fund will sell the stock if it loses value, is set at one ATR, or average true range, which is a measure of how volatile a stock is. The target price is set at 1.5 ATR. The fund will also use a percentage trail, which means the stop will move up as the stock price increases. The trade will be closed if the RSI is greater than 75 or after 10 sessions. The fund used a train, which is a set of data used to test a trading strategy, from 2016 to 2020, and a holdout, which is a set of data used to validate a trading strategy, from 2021 to 2025. The fund also used recent data from 2026 through September 4. The fund's vectorbt fee, which is a fee charged by the fund, is 5 basis points, or 0.05%, per side, and the slippage, which is the difference between the expected price of a trade and the actual price, is also 5 basis points per side. The fund used raw 15-minute close checks and adjusted-ratio wealth, which is a measure of the fund's performance. The fund's drawdown, which is the peak-to-trough decline in the fund's value, was marked by observed intraday prices. The results were: N24, mean -0.225024%, worst -1.825486%, median 0.9948 calendar days. The conclusion is to reject adoption of the strategy because no ETF, or exchange-traded fund, passed both the main training and holdout. The historical proxies used by the fund omit executable quotes, real polling clock, exact dividend cash, and whole-share rounding. The ETFs SPY and IWM cannot currently fit one whole share. The periods were inspected under other rules, so the chronology does not establish pristine independence. Earlier exits permit re-entry and change cohort counts, but matched diagnostics separate that effect. The sources of the data are https://runway.adityaperswal.workers.dev/data/stock-bars and https://tradingmarkets.com/recent/the_improved_r2_strategy_84_correct_with_just_6_rules_-674361.
A news scan found the headline about a trading strategy. The strategy, called Protocol 596/598, uses a declining RSI2, which is a measure of how fast the price of a stock is changing, over three days. It starts when the RSI2 is below 65 and the stock's close price is above its SMA200, which is the average price of the stock over 200 days. The strategy enters the market at the next open, with no overlapping lots, meaning it does not buy or sell the same stock at the same time. The initial stop, which is the price at which the strategy sells the stock to limit losses, is set at one ATR, or average true range, which is a measure of how much the stock's price typically moves. The target price, at which the strategy sells the stock for a profit, is set at 1.5 ATR. The strategy also uses a percentage trail, which means the stop price moves up as the stock's price increases. The strategy exits the market when the RSI2 is greater than 75 or after 10 sessions, which are periods of trading. The strategy was trained on data from 2016 to 2020 and tested on data from 2021 to 2025, and it was applied to recent data from 2026 through September 4. The results show that the strategy had a mean return of -0.783671%, a worst return of -1.579315%, and a median holding period of 0.8958 calendar days. The conclusion is to reject the adoption of this strategy because no ETF, or exchange-traded fund, passed both the main training and holdout tests. The strategy uses historical proxies, which are models of how the market has behaved in the past, but these proxies do not include executable quotes, real polling clock, exact dividend cash, and whole-share rounding, which can affect the results. The sources of the data are https://runway.adityaperswal.workers.dev/data/stock-bars and https://tradingmarkets.com/recent/the_improved_r2_strategy_84_correct_with_just_6_rules_-674361.
A news scan found the following report: The Protocol 596/598 has a declining RSI2, which is a measure of how quickly a stock's price is changing, over three days, starting below 65 and close above the SMA200, which is the average price of a stock over 200 days. The next-open entry will be made without overlapping lots. The Gate is set at 1.5 ATR20, which is a measure of volatility, and is less than or equal to 2 ADR20. The initial stop will be set at one ATR, which is a measure of volatility, and the target will be set at 1.5 ATR. The position will be closed if the RSI is greater than 75 or after a 10-session timeout. The holdout period is from 2021 to 2025, and the recent period is from 2026 through September 4. The vectorbt fee is 5 basis points, which is a measure of the cost of trading, and the slippage is also 5 basis points. The results show a mean return of -0.415034%, a worst return of -2.522052%, and a median holding period of 1.2292 calendar days. The conclusion is to reject the adoption of this strategy because no ETF passes both the main training and holdout periods. The historical proxies used in this study do not account for executable quotes, real-time polling clock, exact dividend cash, and whole-share rounding. Currently, the SPY and IWM ETFs cannot be traded in whole shares. The study also notes that the periods inspected were under other rules, which affects the independence of the results. Earlier exits permit re-entry and change cohort counts, but matched diagnostics separate that effect. The sources of the data are https://runway.adityaperswal.workers.dev/data/stock-bars and https://tradingmarkets.com/recent/the_improved_r2_strategy_84_correct_with_just_6_rules_-674361.
A news scan found the text of a trading fund manager's notes. The notes discuss a trading strategy called Protocol 596/598, which involves a declining RSI2, or a measure of how quickly a stock's price is changing, over three days. The strategy requires the stock to start below 65 and close above its SMA200, which is the average price of the stock over 200 days. The next day, the strategy enters a trade with no overlapping lots, meaning it does not buy or sell the same stock at the same time. The strategy uses a gate of 1.5 ATR20, which is a measure of how volatile the stock is, and sets an initial stop, or the price at which the trade is automatically sold, at one ATR, and a percentage trail, which is a way of adjusting the stop price as the stock's price changes. The strategy also sets a target price at 1.5 ATR. The trade is closed when the RSI is greater than 75 or after 10 sessions. The notes also discuss a train, which is a set of data used to test the strategy, and a holdout, which is a set of data used to validate the results. The train data is from 2016 to 2020, and the holdout data is from 2021 to 2025. The strategy is tested on recent data from 2026 through September 4. The results show a mean return of -0.099752%, a worst return of -1.743545%, and a median holding period of 1.3594 calendar days. The conclusion is to reject the adoption of the strategy because no ETF, or exchange-traded fund, passes both the main training and holdout tests. The notes also mention that historical proxies, or models, omit executable quotes, real polling clock, exact dividend cash, and whole-share rounding, which are all important factors in trading. Additionally, the notes mention that the ETFs SPY and IWM cannot currently fit one whole share. The periods were inspected under other rules, so the chronology does not establish pristine independence. Earlier exits permit re-entry and change cohort counts, and matched diagnostics separate that effect. The sources of the data are https://runway.adityaperswal.workers.dev/data/stock-bars and https://tradingmarkets.com/recent/the_improved_r2_strategy_84_correct_with_just_6_rules_-674361.