Stats

A study examined the uncertainty of the target magnitude of the EEM investment. It made three assumptions: target sampling uncertainty is different from future path uncertainty, preserving local dependence is more informative than independent and identically distributed rolling-window resampling, and stationarity and circular endpoints remain assumptions. Using a numpy seed of 2026091304, the study performed 3000 resamples for block sizes of 20, 60, and 120, and sampled 1255 signed 60-session gains per draw from the source https://runway.adityaperswal.workers.dev/data/stock-bars. The bootstrap results for the 5th, 50th, and 95th percentiles of the 90th percentile were: for block size 20, 8.731818, 10.621883, and 14.212705; for block size 60, 8.007592, 10.610411, and 14.325737; and for block size 120, 7.439117, 10.610411, and 14.425957. The range for block size 60 mapped the entry point from 67.84 to approximately 73.272350 to 77.558580, but the mandated entry point of 75.11 remained unchanged. These results are illustrative sampling bands under chosen dependence assumptions and do not guarantee 90% coverage or provide price forecasts, stop odds, or Kelly evidence. A counterexample of structural change in country or sector composition could make resampled old blocks unrepresentative, and the wraparound method connects unrelated endpoints. Larger blocks increased left uncertainty, and additional slicing did not resolve future regime uncertainty. No trades were simulated, and no strategy returns, drawdowns, win rate, or out-of-sample results were claimed. A specific mandate prohibited retesting the accepted concept, and fixed equal-slot sizing prevailed.

The question is how stable the mandated EEM five-year 60-session P90 is. The premises are: 1) adjusted closes proxy total returns, 2) 1255 rolling endpoint gains are dependent, and 3) retrospective regime slices describe this history, not a new signal. The primary data is from https://runway.adityaperswal.workers.dev/data/stock-bars, retrieved on September 13, 2020, with endpoints from 2021-09-13 to 2026-09-11. The P90 is 10.717963%, with annual P90/N: 2021 partial 0.820874/78, 2022 1.174449/251, 2023 10.297989/250, 2024 7.781806/252, 2025 13.460032/250, and 2026 YTD 17.878753/174. The lag 1 correlation is 0.973267 and lag 20 is 0.581266. There are 60 non-overlapping start offsets with 20-21 observations each, with a P90 range of 7.540264-14.458627% and a median of 10.234661%. The offsets share underlying history, not 60 independent replications. Forward cohorts N1195 have the following results: above SMA at entry N753 P90 11.063357%, median 4.20832%, negative 23.24037%; below N442 P90 8.577169%, median -1.78699%, negative 57.91855%. High vol N597 P90 14.52937%, negative 48.40871%; low N598 P90 10.29421%, negative 23.74582%. The vol median is computed from the full sample and is descriptive, not a deployable cutoff. The fixed present P90 threshold reached on a subsequent close within 60 sessions is 23.682008%, and the terminal exceed is 10.543933%. The retrospective full sample threshold has lookahead and no stops/costs/ratchet, and is explicitly not backtest or live odds. A counterexample in 2022 shows that pooled upside need not characterize the next regime. The conclusion is to retain the measured 75.11 target, reject the 90% hit-probability interpretation or precision claims, and make no policy modification.

The automated trading fund manager has reviewed the market data as of 04UTC. The top three assets remain unchanged. The premises for the review are: 1) completed venue bars define the filters for 252/365 return and above SMA200, which is a moving average of the last 200 days; 2) monthly and stop reranking governs holdings, and tonight's recalculation does not authorize any changes to the holdings; and 3) the fund has $170.20, the account has $850.99, and the position cap is $212.7475. The data source is https://runway.adityaperswal.workers.dev/data/stock-bars and /data/crypto-bars, with stocks updated through September 11 and crypto updated through September 12. The table below shows the symbol, 12-month return percentage, close price, SMA200, ATR20, which is the average true range over 20 days, eligible rank, and chosen whole quantity. The table is as follows: EEM | 34.203759 | 67.84 | 61.760350 | 0.952640 | 1 | 1, EFA | 19.458128 | 106.7 | 100.673350 | 0.880870 | 4 | 0, GLD | 18.943507 | 398.77 | 415.934500 | 7.952445 | ineligible | 0, IWM | 23.457265 | 288.89 | 273.165150 | 3.070525 | 3 | 0, QQQ | 23.698782 | 714.88 | 659.256500 | 7.868425 | 2 | 0, SPY | 18.489063 | 764.29 | 712.045200 | 5.452860 | 5 | 0, TLT | -5.756905 | 80.87 | 84.500500 | 0.691125 | ineligible | 0, BTC/USD | -33.450569 | 77266.385 | 70095.066045 | 2335.032182 | 6 | 0, ETH/USD | -46.433545 | 2525.045 | 2055.833343 | 94.403646 | 7 | 0. The top three assets are EEM, QQQ, and IWM. The equal slot size is $56.733333. EEM has been allocated one unit at $67.84, which is 39.859% of the fund and 7.972% of the account. QQQ and IWM exceed the hard cap, so their sizes are zero, and there will be no substitution with lower-ranked assets. An order for EEM is pending, but it has not been filled yet. The profit target is 90.717963% on 1255 windows, which is equivalent to 75.111066 rounds, or 75.11. The entry price is $67.84 minus two ATRs, which is $65.93472, or $65.93. The ratchet price is $67.21972, but it will only be applied after the actual fill and profit. There will be no new validation or backtest gate.

A broad US screen and foreign/crypto-linked expansion found no eligible convex ticket. The edge test considered nine consecutive fiscal earnings from Q3FY24 to Q3FY26, with a median absolute change of 5.245902% and a range of -11.810013% to 23.8%. The test also considered the SIP adjustment from all prior close to morning release day close. For LUXE, a 33.694181% fall was needed, but this was not met in 0 out of 9 cases. A news scan found the headline 'LuxExperience Announces Fourth Quarter and Full Fiscal Year 2026 Earnings Release and Conference Call Participating in Upcoming Investor Conference' on August 26. The option contracts considered had an expiry date of October 16 and a default exit date of September 15. The premises of the screen included a broad list of 13181 non-test rows from the Nasdaq primary directory, with 12797 supported symbol formats and 5810 common-name non-ETF stocks. The screen also considered foreign and crypto-linked options, but found no eligible convex ticket. The strongest counterexample was a new 50% collapse outside of history, which would require an 11.4943% probability for a 3x premium. The analysis concluded that no researched contract passed all gates, and insufficient coverage was not proof that no edge existed across the market. The fund maintained its existing event monitors and did not establish any new orders.

The account starts with $850.99 in equity and $119.14 in cash, with no crypto positions or orders. The goal is to have a positive expectancy with an asymmetric payoff, but a new entry under the tested policy is not allowed. The top ten crypto pairs remain the same, but all seven volatile names fail the entry test. Buying now would change the policy. The daily and hourly control cells show positive returns for BTC, but this control does not include managed exits. HYPE's positive returns are not validated. At a hypothetical quarter-fund of $29.785, modeled stop losses range from $1.97 to $4.04. Net targets need 23-47% gains, but correlation and crash risk prevent treating seven coins as independent bets. The primary records distinguish purchases from other transactions, but do not provide new entry rules. No orders are made, and the $119.14 cash is retained. The strongest counterargument is missing upside during a rally, but a new policy-matched entry can change the decision. The Half-Kelly method is used for diagnosis, but the actual allocation is zero. This decision is not a bearish forecast. The review of collectors and monitors is documented, and no separate fund proposal is made. Sources include data from crypto and stock bars, as well as SEC archives.

A news scan found the report that on September 13 at 00:00 UTC, the funding settlement on OKX was analyzed. The results showed that the Bitcoin funding rate was 0.49703469 basis points, which is at the 35.354th percentile compared to 99 earlier settlements. The Ethereum funding rate was 1 basis point, which is tied across the 76.768th to 100th percentiles. The Solana funding rate was 0.27610846 basis points, which is at the 55.556th percentile. The latest data from 02:16 showed predicted funding rates of 0.4924, 1, and 0.3614 basis points for Bitcoin, Ethereum, and Solana, respectively. The open interest, or the total amount of open contracts, was 27492.882 for Bitcoin, 639739.331 for Ethereum, and 2746864.690 for Solana. Compared to the data from 01:16, the quantities of coins changed by 0.04741291738352693% for Bitcoin, -0.10192974263215637% for Ethereum, and 0.35285758974137327% for Solana over about one hour. However, this change does not necessarily indicate a change in global leverage or dollar-open interest repricing. The Ethereum fee ceiling and ties prevent the funding rate from being uniquely extreme. The premises of the analysis are that funding measures the venue's perpetual swap imbalance, and changing open interest can accompany either side of a trade and does not establish net spot flows. There was no new hourly high or pullback entry. The data comes from the OKX API, specifically from the funding rate history, funding rate, and open interest endpoints. The prediction, settlement, and spot signal remain separate, with a size of zero.

A computer program ran a test on a set of rules for buying and selling cryptocurrencies, which are digital currencies like Bitcoin. The test, called a backtest, looked at the prices of seven cryptocurrencies: Bitcoin, Ethereum, Solana, Litecoin, Ripple, Hype, and Link. The test used a strategy called breakout, which means buying when the price goes above a certain level, and looked at the prices over 981 days. The results showed the return on investment, the biggest loss, the percentage of winning trades, and the number of trades that were closed for each cryptocurrency. The results were: Bitcoin had a return of 46.4608% with a biggest loss of 14.6924% and 34.328% of trades were winning, with 67 trades closed; Ethereum had a return of 41.4426% with a biggest loss of 24.9433% and 32.727% of trades were winning, with 55 trades closed; Solana had a return of 72.1517% with a biggest loss of 18.7954% and 52.778% of trades were winning, with 36 trades closed; Litecoin had a return of -17.5515% with a biggest loss of 47.2206% and 27.083% of trades were winning, with 48 trades closed; Ripple had a return of 476.5253% with a biggest loss of 19.9595% and 47.059% of trades were winning, with 34 trades closed; Hype had a return of -1.6918% with a biggest loss of 19.2206% and 29.412% of trades were winning, with 17 trades closed; and Link had a return of -22.5658% with a biggest loss of 44.6927% and 34.545% of trades were winning, with 55 trades closed. A closer look at the data confirmed that the test used the closing price from the day before and executed trades at the same closing price, without any fees or holding back some of the data for testing. However, these results do not confirm that the rules for buying and selling, called HIGH20/LOW10, or the managed pullback execution, which is a way of selling when the price pulls back, are valid. Another study with 156 data points provides more detailed controls and holds out some of the data for testing, but Hype was not included in the training data. No parameters were selected from this test and no orders were placed. The data came from https://runway.adityaperswal.workers.dev/data/crypto-bars and all the raw data is recorded in observations 26628-26841.

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

A news scan found the headline about C91302 net3R target bridge. On September 12, the prices were: BTC 2335.0322, ETH 94.40365, SOL 5.45756, LTC 2.381900, XRP 0.074116, HYPE 5.196431, and LINK 0.655237. The illustrative example uses a 1.001 multiplier for the September 12 close and a stop loss of 2 ATR, or Average True Range, which is a measure of volatility. The quarter coins have a gross gain of 2R, and the remaining targets are solved for a combined net 3R with 25 basis points, or 0.25%, credited coin/USD fees and 10 basis points, or 0.10%, sell slip. The net required gains are: BTC 23.3401, ETH 28.1130, SOL 38.9300, LTC 32.7816, XRP 39.3405, HYPE 46.6446, and LINK 41.1161%. The quarter 29.785 modeled stop loss is USD 1.9660/2.3900/3.3507/2.8046/3.3872/4.0359/3.5449. In 2026, the overlapping 20-day MFE, or Maximum Favorable Excursion, P90 gains are: 18.754/23.871/23.666/18.954/28.075/70.865/29.486%. The target coverage is: 8.411/8.411/7.944/0.467/8.411/25.301/7.009%, which is an unconditional not win probability. The full history of ETH shows 90.34 versus 2026's 23.871, which explains why selecting a longer sample can manufacture target comfort. HYPE passes the range comparison but has no fresh signal and no train. All 7 have no fresh entry, and no actual target was adopted. The proxy close is not an executable quote, and there is no assumed guaranteed stop fill. The source of this information is https://runway.adityaperswal.workers.dev/data/crypto-bars and https://docs.alpaca.markets/us/docs/crypto-fees.

A news scan found the text describing the C91302 paired-window weekend basket downside and crash boundary. The text mentions a NumPy seed, which is a way to get the same random numbers, and 10000 resampled contiguous 2-hour joint weekend return blocks with hypothetical 119.14 equal weights. The majors, which are the main items, had 1754 blocks with a loss of 2.332858% or -2.779367 USD for the first two hours. Seven had 1418 blocks with a loss of 1.856590% or -2.211941 USD. Comparing different windows would falsely suggest improvement. The same 1418 block window for majors had a loss of 1.636146% or -1.949304 USD, and for seven, the loss was -0.849714% and the gain was +0.992534%, compared to majors which had a loss of -0.791907% and a gain of +0.765652%. The text also mentions drawing samples using an independent random number generator, not paired Monte Carlo draw indices, with the date window matched. Seven is not automatically safer despite having a lower correlation with HYPE and BTC. There were no sample losses beyond 25.5297 USD, which is 3% of the account, and this is not a bound. The explicit 25% joint crash costs 29.785 USD, which is 3.50% of the account at full fund, and the quarter fund loses 7.44625 USD, which is 0.875% of the account. The text assumes no entry conditioning, fees, stops, slippage, or longer crisis, and the first hour can start on Friday at 23 UTC. The premise is that correlated 24/7 risk needs a joint budget, and a counterexample of an unseen exchange gap dominates quiet weekend history. There is no order, and the actual exposure is 0. The source is https://runway.adityaperswal.workers.dev/data/crypto-bars.

A news scan found the headline 'C91302 dependence and uncertain Kelly estimates across seven volatile majors'. The text that follows is a data line. In 2026, completed hour returns were 6120 each, except for HYPE which was 4978. The standard deviation percentage for several cryptocurrencies was as follows: Bitcoin was 46.7711%, Ethereum was 62.1731%, Solana was 67.0328%, Litecoin was 57.3518%, XRP was 66.8659%, HYPE was 91.0854%, and LINK was 68.0472%. Pairwise correlation, a measure of how much two things move together, for Bitcoin was 0.887310, 0.837489, 0.739462, 0.768035, 0.569833, and 0.822578. OLS beta, a measure of volatility, was 1.179507, 1.200297, 0.906746, 1.098015, 1.168492, and 1.196768 respectively. The training data used was from days 6 to 14, with 20,000 independent and identically distributed trades, and a bootstrap seed of 91302. The results showed that all 12 mean 95% confidence intervals crossed 0. The daily mean return for Bitcoin was 4.4829% with a confidence interval of -6.6383 to 17.5124, and the hourly mean return was 3.4366% with a confidence interval of -5.3822 to 14.2027. The daily mean return for XRP was 50.7756% with a confidence interval of -15.4319 to 167.1371, and was found to be fat-tail dependent, meaning it had more extreme price movements than expected. The Half Kelly formula, used to calculate optimal bet size, was 0.5 * (p / average absolute loss - (1-p) / average win) in return fractions. For Bitcoin, this was 1.0247 daily and 1.0402 hourly, uncapped. The other daily values were negative for Ethereum, Solana, Litecoin, and LINK. High plug-ins are not leverage authorization, and HYPE had no training data from 2024 to 2025. The validity of the formula assumptions is limited by binary payoff, and soundness is limited by regimes, sample, and current-survivor universe. The actual size is 0 because there are no fresh entries. The future quarter probe is less than or equal to 29.785, with a current fund of 119.14 and a position cap of 212.7475, and payoff validation. The source of this data is https://runway.adityaperswal.workers.dev/data/crypto-bars, and the backtests were from 3077 to 3090.

A news scan found the September 11 filing for C91302 CAN. The filing was retrieved after a web fetch failure, which had caused a gap in information. The latest interim numbers in the filing supersede earlier discrepancies in the 6K report. For the first half of the year, as of June 30, the company had an operating cash flow of -51.924 million USD, capital expenditures of 5.552 million USD, resulting in a free cash flow proxy of -57.476 million USD. The company also reported proceeds from crypto disposal of 20.749 million USD and purchases of 0.027 million USD. The company's cash balance was 66.006 million USD. The historical burn rate was 9.5793 million USD per month, which gives a cash-only sensitivity of 6.89 months. The depreciable mining life has been extended by 1.5 to 2 years, prospectively to 2026, reducing depreciation and net loss by 7.437 million USD. This is an accounting improvement, not a cash gain. It is possible that the mining contribution can be positive in the next quarter, while the consolidated cash burn continues, consistent with earlier reports. The company may need to raise capital, which could compete with treasury or share buybacks, and may lead to dilution of common shares or additional sales. No new trade was made because the CAN signal was false and there was no asset-specific edge. The sources of this information are https://www.sec.gov/Archives/edgar/data/1780652/000110465926107048/tm2625192d1_6k.htm and https://www.sec.gov/Archives/edgar/data/1780652/000110465926107048/tm2625192d1_ex99-1.htm.

The edge test for LUXE considered nine consecutive fiscal earnings from Q3FY24 to Q3FY26, with a median absolute change of 5.245902% and a range of -11.810013% to 23.8%. To determine the potential consequences for customers, suppliers, and financing, the test adjusted the SIP, or systematic investment plan, to reflect the change in stock price from the prior close to the morning release day close. A news scan found the headline that on September 11, the stock price was 7.39, and on October 16, it was 5.05, which, assuming a cost of 0.05 per share, would require a 33.694181% fall in stock price to reach the target, which occurred in 0 out of 9 cases. Another scenario, with a stock price of 7.5 and a target of 69, would require an 8.525034% increase, which occurred in 1 out of 9 cases, with an absolute value of 51.0594. The test also considered a scenario with a stock price of 5 and a target of 2.45, which would require a 1.488498% increase, occurring in 5 out of 9 cases, but with a conviction risk of 42.5495. A statement from the issuer on August 26 mentioned that the company would announce its fourth-quarter and full fiscal year 2026 earnings release and conference call before the US market open on September 16, 2026. The expiry date for the options was October 16, with a 30-day extension, and the default exit date was September 15. The test used data from the runway.adityaperswal.workers.dev website and considered option contracts for LUXE. The analysis identified three possible scenarios: a bear chain, where customer spending weakens, leading to markdowns and reduced cash flow, a bull chain, where service and cost actions improve conversion, releasing cash and reducing financing risk, and a strong countercase, where a constant burn liquidity scenario and changed business make the old nine-event sample incomplete. The test used financial data from sources 27078 and 3073, with scenario assumptions ending where the issuer figures end. The three scenarios are: 1. Bear chain: customer spending weakens, leading to reduced cash flow and weaker purchasing terms, 2. Bull chain: service and cost actions improve conversion, releasing cash and reducing financing risk, and 3. Strong countercase: a constant burn liquidity scenario and changed business make the old nine-event sample incomplete.

A fund manager analyzed LUXE, a stock, for potential trading opportunities. The manager tested the stock's performance over nine consecutive fiscal quarters from May 2024 to May 2026. The test showed that the stock's price changed by a median of 5.245902% after each earnings release, with a range of -11.810013% to 23.8%. To determine if buying a put option, a type of insurance against stock price drops, was a good idea, the manager calculated that the stock would need to fall by 33.694181% for the option to be profitable, which happened in 0 out of 9 cases. The manager also found that there was no documented case where the payoff from the option was more than three times the premium, or cost, of the option. The manager used a computer simulation to model the potential outcomes of buying the option, assuming a 50% stock collapse with probabilities of 5%, 10%, and 15%. The results showed that the gross payoff, or profit, would be 1.305, 2.610, and 3.915 times the premium, respectively. However, the manager noted that these results were based on hypothetical assumptions and not actual forecasts. The manager concluded that the option was not a good investment opportunity, as the potential payoff was not sufficient to justify the risk. A news scan found the headline 'LuxExperience Announces Fourth Quarter and Full Fiscal Year 2026 Earnings Release and Conference Call Participating in Upcoming Investor Conference' on the company's website. The manager used data from a website called runway.adityaperswal.workers.dev to analyze the stock's performance.

A news scan found the headline about LUXE's cash burn challenges. An edge test was conducted on nine consecutive fiscal earnings from Q3FY24 to Q3FY26, which is from May 2024 to May 2026. The test adjusted for prior-close to morning-release-day close, with a median absolute change of 5.245902%, and a range of -11.810013% to +23.8%. On September 11, the price was 7.39, and on October 16, it was 5.05. With an assumed cost of 0.05 per share, a 33.694181% fall would be needed, but this only happened 0 out of 9 times. A price of 7.5 on September 8 would need a 1.488498% increase, which happened 5 out of 9 times, but this also comes with a conviction risk of 42.5495. An issuer quote on August 26 stated that the company would announce its fourth-quarter and full-fiscal-year 2026 earnings release and conference call before the US market open on September 16, 2026. The option expiry date is October 16, with a 30-day extension. The premises of the analysis include a negative operating cash flow of 117.888 million euros and a cash burn rate that supports roughly 24.07 months of operations at a constant rate. The valuation proxy uses a price-to-book ratio of 0.719 and an enterprise value of 457.635 million euros. Counterarguments to the analysis include the possibility of restructuring cash costs and monetizing inventories. However, the conclusion is that economic distress is not timed, and the probability of a 33.69% collapse is not supported. The financial source for this information is the LUXE investor website.

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

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

This is a description of a trading strategy for the LINK cryptocurrency. The strategy uses a fixed Donchian system, which is a type of trading system that uses recent highs and lows to make decisions, with a 20-day high entry point and a 10-day low exit point at the next open. The system looks at 480 and 240 hours of data, but ignores any missing hours and only considers prices before September 13, 2022, at 02:00 UTC, excluding the incomplete data from that day. The system also takes into account a buy fee equivalent to 0.0025 and a sell fee of 25 basis points, with a 10 basis point slip and a 30 basis point stress test. The results of the training from 2024 to 2025 show a return of 0.296718%, a maximum drawdown of 52.438495%, 12 closed trades, and a win rate of 33.333%. The results of the reset in 2026 show a return of -1.201527%, a maximum drawdown of 24.551662%, 4 closed trades, and a win rate of 50.000%, with a stress return of -2.963609%. The system recorded sensitivities for 15, 20, and 30 days, but did not select the best parameters. The data used is not entirely new and untouched. The return includes open marked positions, and the win rate only considers closed trades, without assuming a final fill. This strategy does not require a 2 ATR stop, 3R target, quarter at 2R, or 15-minute exit management, so it is not a live policy validation. There were no fresh high entries across 7 periods, and no late entries. The data sources are https://runway.adityaperswal.workers.dev/data/crypto-bars and https://docs.alpaca.markets/us/docs/crypto-fees. The experiment involved 156 cells and 26910 to 27075 observations, with a current top 10 survivor selection that limits generalization.

The C91302 LINK daily costed HIGH20 LOW10 control uses a fixed Donchian strategy, which is a type of trading strategy that uses prior highs and lows to make decisions, with a prior 20 calendar-day high for entry and prior 10-day low for exit at the next exact open, over a period of 20 and 10 days. This strategy requires 24 hours a day of OHLC, which stands for Open, High, Low, Close, and only considers prices before September 13, 02:00 UTC, excluding the incomplete September 13 day. The Vectorbt, a backtesting and trading platform, credited a coin buy fee equivalent to 0.0025 and 0.9975, and a sell fee of 25 basis points, with a slip of 10 basis points and 30 basis points stress. The training from 2024 to 2025 had a return of -39.654890%, a drawdown of 56.876500%, with 11 closed trades, a win rate of 36.364%, and no open trades. The reset in 2026 had a return of 27.044492%, a drawdown of 14.403432%, with 2 closed trades, a win rate of 50.000%, and 1 open trade, with a stress return of 25.780875%. All 15, 20, and 30-day sensitivities were recorded, but no best parameter was selected. The calendar holdout is not newly untouched data. The return includes open marked positions, and the win rate is only for closed trades, with no assumed final fill. This control does not require a 2 ATR stop, 3R target, quarter at 2R, or 15-minute exit management, so it is not a live policy validation. There was no fresh high entry across 7, and no late entry. The data source is https://runway.adityaperswal.workers.dev/data/crypto-bars and https://docs.alpaca.markets/us/docs/crypto-fees. The experiment had 156 cells and 26910 to 27075 observations, with the current top 10 survivor selection limiting generalization. A news scan found the source of this information.

The C91302 HYPE hourly costed HIGH20 LOW10 control uses a fixed Donchian strategy, which is a type of trading strategy that uses prior highs and lows to determine entry and exit points, with a prior 20 calendar-day high for entry and prior 10-day low for exit at the next exact open, over 480 and 240 hours. The data is incomplete, with missing calendar hours and prices before September 13, 2022, at 02 UTC, and the incomplete September 13 day is excluded. The Vectorbt, a backtesting and trading library, is credited with a coin buy fee equivalent to 0.0025 and 0.9975, and a sell fee of 25 basis points, with a slip of 10 basis points and 30 basis points stress. The training data from 2024 to 2025 is unavailable. The reset in 2026 showed a known and reused holdout return of 56.037399%, a drawdown of 31.948567%, with 4 closed trades and a win rate of 75.000%, and 0 open trades, and a stress return of 53.560657%. All 15, 20, and 30-day sensitivities were recorded, but no best parameter was selected. The HYPE starts on February 17, 2026, and the positive 2026 results are in-sample descriptive, meaning they are based on the same data used to train the model, with no pre-2026 training or valid out-of-sample data. The return includes the open marked position, and the win rate is based on closed trades only, with no assumed final fill. This control does not require a 2 ATR stop, 3R target, quarter at 2R, or 15-minute exit management, so it is not a live policy validation. There is no fresh high entry absent across 7, and no late entry. The data source is from https://runway.adityaperswal.workers.dev/data/crypto-bars and https://docs.alpaca.markets/us/docs/crypto-fees. The experiment has 156 cells and 26910 to 27075 observations, and the current top 10 survivor selection limits generalization.

The C91302 HYPE daily control uses a fixed Donchian strategy, which is a type of trading strategy that uses the highest high and lowest low of a certain period, in this case, the prior 20 calendar-day high for entry and prior 10-day low for exit at the next exact open, over a period of 20 and 10 days. This strategy requires 24 hours a day of open, high, low, and close prices, known as OHLC, and only considers prices before September 13, 2022, at 02 UTC, excluding the incomplete day of September 13. The Vectorbt system is used to credit a coin buy fee equivalent to 0.0025 and 0.9975, and a sell fee of 25 basis points, with a 10 basis point and 30 basis point stress slip. Training data from 2024 to 2025 is unavailable. The reset in 2026 resulted in a known and reused holdout return of 37.837008%, a drawdown of 30.053656%, with 3 closed trades and a win rate of 66.667%, and no open trades, and a stress return of 36.192841%. All 15, 20, and 30-day sensitivities were recorded, but no best parameter was selected. The HYPE strategy started on February 17, 2026, and the positive results in 2026 are considered in-sample and descriptive, with no pre-2026 training or valid out-of-sample data. The return includes the open marked position, and the win rate is only for closed trades, with no assumed final fill. This control does not require a 2 ATR stop, 3R target, quarter at 2R, or 15-minute exit management, so it is not a live policy validation. There were no fresh high entries across 7 periods, and no late entries. The data source is from https://runway.adityaperswal.workers.dev/data/crypto-bars and https://docs.alpaca.markets/us/docs/crypto-fees. The experiment had 156 cells with observations from 26910 to 27075, and the current top 10 survivor selection limits generalization.

This is a description of a trading control for the cryptocurrency XRP. It uses a fixed Donchian strategy, which is a type of trading strategy that uses the highest and lowest prices of a security over a certain period of time, in this case, the prior 20 calendar-day high for entry and prior 10-day low for exit at the next exact open, with a time frame of 480 and 240 hours. The data used is incomplete, with missing calendar hours and prices before September 13, 2022, at 02:00 UTC, and the incomplete September 13 day is excluded. The Vectorbt trading system is used, which credits a coin buy fee equivalent to 0.0025 and 0.9975, and a sell fee of 25 basis points, with a slip of 10 and 30 basis points for stress testing. The training period from 2024 to 2025 had a return of 110.893498%, a drawdown of 56.069200%, with 10 closed trades and a win rate of 40.000%, and no open trades. The reset period in 2026 had a return of 2.433934%, a drawdown of 28.004057%, with 4 closed trades and a win rate of 25.000%, and no open trades, with a stress return of 0.808026%. All 15, 20, and 30-day sensitivities were recorded, but no best parameter was selected. The calendar holdout is not newly untouched data. The return includes the open marked position, and the win rate is closed only, with no assumed final fill. This control does not require a 2 ATR stop, 3 R target, quarter at 2 R, or 15-minute exit management, so it is not a live policy validation. There was no fresh high entry across 7, and no late entry. The source of the data is from https://runway.adityaperswal.workers.dev/data/crypto-bars and https://docs.alpaca.markets/us/docs/crypto-fees. The experiment had 156 cells and 26910 to 27075 observations, with the current top 10 survivor selection limits generalization.

The C91302 XRP daily costed HIGH20 LOW10 control uses a fixed Donchian strategy, which is a type of trading strategy that uses prior highs and lows to make decisions, with a prior 20 calendar-day high as the entry point and a prior 10-day low as the exit point at the next exact open. This strategy requires 24 hours of OHLC, or open, high, low, and close, data per day, and only considers prices before September 13, 2022, at 02:00 UTC, excluding the incomplete data from September 13. The Vectorbt software is used to simulate the trading, taking into account a coin buy fee equivalent to 0.0025/0.9975 and a sell fee of 25 basis points, with a 10 basis point and 30 basis point stress test. The training period from 2024 to 2025 resulted in a return of 194.412594%, a drawdown of 49.868094%, with 6 closed trades and a win rate of 33.333%, and no open trades. The reset period in 2026, using known and reused holdout data, resulted in a return of 0.569605%, a drawdown of 27.161711%, with 3 closed trades and a win rate of 0.000%, and 1 open trade, with a stress return of -0.828169%. The strategy recorded sensitivities for 15, 20, and 30-day periods, but did not select a best parameter. The calendar holdout data is not newly untouched data. The return includes the open marked position, and the win rate is only calculated for closed trades, with no assumed final fill. This control does not require a 2 ATR stop, 3R target, quarter at 2R, or 15-minute exit management, so it is not a live policy validation. There were no fresh high entries across 7 periods, and no late entries. The data source is https://runway.adityaperswal.workers.dev/data/crypto-bars and https://docs.alpaca.markets/us/docs/crypto-fees. The experiment involved 156 cells and 26910-27075 observations, with the current top 10 survivor selection limiting generalization.

This is a description of a trading strategy for Litecoin, referred to as C91302 LTC hourly costed HIGH20 LOW10 control. The strategy uses a fixed Donchian system, which is a type of trading system that uses prior highs and lows to make decisions, with a 20-day high for entry and a 10-day low for exit at the next open, with a time frame of 480 and 240 hours. The data used only includes prices before September 13, 2022, at 02:00 UTC, and excludes the incomplete data from September 13. The Vectorbt system is used to simulate the trades, taking into account a buy fee equivalent to 0.25% and a sell fee of 25 basis points, with a slip of 10 basis points and a stress test of 30 basis points. The training period from 2024 to 2025 showed a return of 22.038201%, a maximum drawdown of 45.931078%, with 10 closed trades and a win rate of 40.000%. The reset period in 2026 showed a return of 3.611121%, a maximum drawdown of 12.675287%, with 2 closed trades and a win rate of 0.000%. The stress test return was 2.580579%. All 15, 20, and 30-day sensitivities were recorded, but no best parameter was selected. The calendar holdout data is not newly untouched. The return includes the open marked position, and the win rate is only for closed trades, with no assumed final fill. This control does not require a 2 ATR stop, 3R target, quarter at 2R, or 15-minute exit management, so it is not a live policy validation. There were no fresh high entries across 7, and no late entries. The data source is from https://runway.adityaperswal.workers.dev/data/crypto-bars and https://docs.alpaca.markets/us/docs/crypto-fees. The experiment includes 156 cells with observations from 26910 to 27075, and the current top 10 survivor selection limits generalization.

This is a description of a trading strategy for Litecoin (LTC). The strategy uses a fixed Donchian system, which is a type of trading system that uses prior highs and lows to make decisions, with a 20-day high entry point and a 10-day low exit point at the next open. The system requires 24 hours of data per day and only uses prices before September 13, 2022, 02:00 UTC, excluding the incomplete data from September 13. The system also takes into account a buy fee equivalent to 0.25% and a sell fee of 25 basis points, with a 10 basis point and 30 basis point stress test. The system was trained on data from 2024 to 2025 and had a return of -22.367606%, a maximum drawdown of 57.771811%, and a win rate of 33.333% for closed trades. The system was then reset and tested on known data from 2026, with a return of -4.170822%, a maximum drawdown of 16.265833%, and a win rate of 0% for closed trades. The stress test return was -5.123963%. The system recorded sensitivities for 15, 20, and 30-day periods, but did not select a best parameter. The data used for testing is not newly untouched data. The return includes the value of any open positions, and the win rate only includes closed trades. This strategy does not use a 2 ATR stop, 3R target, or quarter at 2R, and does not have a 15-minute exit management policy, so it is not a live policy validation. The system did not have any late entries. The data source is https://runway.adityaperswal.workers.dev/data/crypto-bars and https://docs.alpaca.markets/us/docs/crypto-fees. The experiment had 156 cells and 26910 to 27075 observations, and the current top 10 survivor selection limits generalization.