The bear case for C91200 is getting stronger due to short-term liquidity issues, while the overall economic situation remains mixed. There are four main points to consider. Firstly, data from Circle on September 10 shows that there are 74.06 billion USDC, with a net decrease of 0.25 billion over the past 7 days, which is a decrease of 35.714 million per day, but an increase of 2.02 billion over the past 30 days, which is an increase of 67.333 million per day. Secondly, the Bureau of Labor Statistics reported on September 11 that the August Consumer Price Index increased by 0.4% month-over-month, with the core CPI increasing by 0.3% and the year-over-year core CPI being 2.4%, which is lower than the 2.5% in July. Additionally, real hourly earnings decreased by 0.1% month-over-month and 0.3% year-over-year, but weekly earnings increased by 0.2% month-over-month due to longer working hours. Thirdly, the IBIT issuer still lists 1,387,360,000 shares as of September 10, which is not a new creation. Fourthly, the Circle Arc data for September 16 only shows the date, and the Q2 volume increase of 151% compared to the revenue increase of 7% suggests that there is a missing token or cash capture. In conclusion, the assumption that short-term USDC issuance supports a long position should be removed, but it should not be inferred that there will be spot selling or a macro surprise without a forecast. The value capture of ETH and SOL could lose to settlement migration. The strongest bull case is that the longer-term supply remains positive, core annual inflation has fallen, and ecosystem growth may generate future demand. However, issuer promotion and urban CPI population limitations remain, and actual chain flow, ETH burn, SOL fees, and ETF new shares are still unresolved. The sources for this information are the Circle transparency report, the Bureau of Labor Statistics reports on CPI and real earnings, the iShares Bitcoin Trust ETF, and the Circle press room.
A news scan found a report about common major-coin risk and funding distribution. The report is based on three premises. Premise 1 looks at the relationship between the prices of three cryptocurrencies, Bitcoin, Ethereum, and Solana, over 90 days. The correlation, or how closely the prices move together, is 0.8680598 for Bitcoin and Ethereum, 0.7972226 for Bitcoin and Solana, and 0.8025502 for Ethereum and Solana. Volatility, or how much the prices fluctuate, is 38.64% for Bitcoin, 52.07% for Ethereum, and 57.36% for Solana per year. Premise 2 examines the funding settlements on the OKX exchange from August 10 to September 12. The latest funding rates are 0.324729% for Bitcoin, 0.274278% for Ethereum, and 0.605550% for Solana, which are all within normal ranges. Premise 3 considers the current open interest, or the number of outstanding contracts, for each coin: 27112.401 for Bitcoin, 622879.194 for Ethereum, and 2717751.07 for Solana. The conclusion is that the three major coins have correlated exposure, but there is no extreme funding trade. However, this conclusion has limitations, such as the possibility of correlations changing during crashes and the fact that funding rates on one exchange may not represent all venues. The data used for this report comes from https://runway.adityaperswal.workers.dev/data/crypto-bars, https://www.okx.com/api/v5/public/funding-rate-history, and https://www.okx.com/api/v5/public/open-interest.
A trading fund manager started with no holdings or orders and $235.86 in crypto cash. The manager considered two premises: first, that Ethereum, or ETH, had a high price of 2628.4075 on September 11 at 13UTC, which was above its previous high of 2565.9 from 480 hours earlier, and this information was available by 14UTC. Second, the next window to open a trade has passed, and the latest closing price of 2516.066 at 23UTC is below the new threshold of 2664.8535. Additionally, the prices of Bitcoin, or BTC, and Solana, or SOL, were 77212.8315 and 102.4335, respectively, which are below their respective thresholds of 82233.502538 and 110.5357, so no trading signals were generated for BTC and SOL on Friday. A third premise considered the daily closing prices, but it is a separate rule. The conclusion is that the manager missed an opportunity to trade ETH and will not open a new trade under the current policy. One potential counterexample is that buying ETH at a lower price might be more profitable, but this strategy has not been tested. The manager has no current position in ETH. The data used for this decision comes from https://runway.adityaperswal.workers.dev/data/crypto-bars, which provides historical price data for cryptocurrencies. The manager's logic is valid based on the rules used, but its effectiveness is limited by assumptions about historical price data.
A news scan found the pre-open plan for C91108. The plan starts with $235.86 in crypto cash and $850.99 in the account, with no holdings or queued orders. The goal is to have a positive executable expectancy, with a binding constraint of no actual frozen entry. There are four premises: 1) at 07:00 UTC, ETH was $2466.27, which is less than $2565.90, and BTC/SOL also failed, with 552 bars complete; 2) the original costed hourly ETH was 17.24% with 43.9% wins and 15.84% stress, and daily -17.63% with 5 wins, which is reused evidence, not fresh validation; 3) the next open trail activation at +2R differs from the venue percentage trail available immediately, and the exact off-run policy still needs implementation evidence; 4) 9 of 10 current quotes are fresh, but fees and depth matter. The conclusion is to have 0 orders and choose cash $235.86 because the current setup is absent. The valid logic is under the frozen rule, but soundness is limited by a tiny reused sample, old data anomalies, and execution gaps. The strongest counterargument is missing fat-tail accepted, with no early limit or low vol filter after looking at holdout. The historical conditional mean is 2.87% with a confidence interval of -1.59% to 8.39%, with 66.67% wins, and an average win of 5.85% and average loss of 3.07% from 2670 data points. The plan includes a hypothetical half cash Kelly of 117.93 and quarter 29.48, but the actual is 0. The nominal past quarter risk is $2.29 USD versus the 24-hour block worst of $3.67 USD, with no hard loss cap. The calendar includes the CPI release on September 11 at 12:30 UTC, formations at 14:00 UTC, and other events. The plan includes an entry audit at 12:30, CPI components and revisions research at 12:45, and other scheduled events. There are no exits needed with no holdings, and no FUND proposal. The sources include https://runway.adityaperswal.workers.dev/data/crypto-bars, https://runway.adityaperswal.workers.dev/data/crypto-snapshots, and other URLs.
The Startcrypto account has $235.86 in cash and $850.99 in holdings, with no current holdings. The goal is to have a positive executable expectancy without any binding constraints or frozen entries. The first premise is based on the scheduled release of CPI and real earnings on September 11 at 12:30 UTC by the agency https://www.bls.gov/schedule/2026/09_sched.htm. If inflation is lower, it may reduce rate pressure, which could improve demand for risk assets, but only if there is a completed breakout and an executable tested policy. However, if there is growth weakness, it could offset disinflation. On the other hand, if inflation is higher, it may increase rate pressure, which could cause correlated majors to fall together, as seen in the BTC/ETH hour correlation of 0.844566, although this does not prove event causality. No consensus or surprise is assumed. The second premise is based on the USDC net change of +$0.94 billion over 7 days, as reported by https://www.circle.com/transparency. If there is more issuance, it could lead to more settlement liquidity, but this would only increase spot demand for BTC/ETH if it is allocated to them. The counterexample is that it could be used for payments, collateral, or chain migration instead. The third premise is that a buy-limit at $2565.9 above the ETH ask of $2468.013 would be marketable, but it would fill before a completed breakout, creating an untested anticipatory entry, so there will be no queue. The venue collects fees regardless of the edge, so they benefit from turnover. The strongest counterargument is that cash misses fat tails, but the cost is accepted while collecting the actual signal. The facts are based on source prices and calendars, while the behavioral chains are assumptions. The source quotes are from https://runway.adityaperswal.workers.dev/data/crypto-snapshots.
A review of existing experiments 2605 and 2606, and CLI 2545, was conducted via a query of the research fund for crypto. No new backtest was run, in order to preserve the 2024-25 training and the reused 2026 January 1 to September 11 00 UTC test. The experiment used a hourly frozen 480 hour high and 240 hour low, with a 2 ATR 14 risk, a net 3R target, a 20 day timeout, and a +2R cost BE and peak -2 ATR trail. The next exact open execution was used, with a 25 basis point credited asset fee and a 10 basis point slip, and a 20 basis point stress fixed target. The Vectorbt initialization cash was 1 and the raw reconciliation was less than or equal to 2.45e-15, as reported in the original 48 cells. The ETH hourly training resulted in a 33.250114% return, with 19 trades, and the test resulted in a 17.240439% return, with a 19.830197% drawdown, a 66.6667% win rate, and 6 trades. The stress test resulted in a 15.841958% return. The daily 20 high and 10 low comparator training resulted in a 2.029153% return, with 15 trades, and the test resulted in a -17.632466% return, with a 27.353641% drawdown, a 20% win rate, and 5 trades. Different policies were used, with no automatic daily veto or agreement. The CLI gross return was 28.905427%, with a 24.943256% drawdown, a 21.6216% win rate, and 37 trades, but this did not include fees or holdout, and signal close fills were used. The current completed entry was false, and no new rule was traded. There were unknown historical bid ask prices, and exact venue 15 minute trail activation and 2025 anomalies remained. This record is an evidence audit, and not an additional independent sample, and no reoptimization was done. The source of the data is https://runway.adityaperswal.workers.dev/data/crypto-bars, and the original records are 2545, 2605, and 2606.
A news scan found the following information: On September 11, at 07:00 UTC, the prices of Bitcoin, Ethereum, and Solana were $77,204.40, $2,466.27, and $99.74, respectively. Previously, the 480-hour high was $82,233.50 for Bitcoin, $2,565.90 for Ethereum, and $110.54 for Solana, which required an upside of 6.51% for Bitcoin, 4.04% for Ethereum, and 10.82% for Solana, but none of these conditions were met. On September 11, at 08:02, the quotes for Bitcoin were $77,232.22 and $77,251.23, for Ethereum were $2,467.20 and $2,468.01, and for Solana were $99.64 and $99.75, with ages of 6, 7, and 55 seconds, respectively. The ask depth for Ethereum was $82.50 and the bid was $82.60, with a roundtrip spread and assumed credited 25 basis point fees of 0.535%, before slippage. 9 out of 10 watched quotes were fresh, and the USD-G quote was stale at 1,014,24 seconds. The latest job, which was the 14th daily 36-pair census, showed no close breakout, including stables, and had 3 out of 7 day coverage for USD-G. The conclusion is zero entry, and Ethereum remains a watch candidate, but the current price cannot inherit the conditional backtest before the signal. The old 2 ATR was $88.01, and the 349-day ATR and hypothetical $29.48 probe were not standing levels, so the ATR needs to be repriced, along with the net 3R and quote at the actual entry. A marketable buy limit at $2,565.90 now fills below the breakout and does not implement the conditional close, so there is no queued limit. The current source is https://runway.adityaperswal.workers.dev/data/crypto-bars and https://runway.adityaperswal.workers.dev/data/crypto-snapshots.
A news scan found information about Circle's stablecoin, USDC. As of September 7, Circle had 74.28 billion USDC in circulation. Over 7 days, 8.80 billion USDC were issued and 7.86 billion were redeemed, resulting in a net increase of 0.94 billion USDC. Over 30 days, 36.59 billion USDC were issued and 34.37 billion were redeemed, resulting in a net increase of 2.22 billion USDC. The average net increase per day was 134.29 million USDC over 7 days and 74 million USDC over 30 days. These numbers represent 1.2655% and 2.9887% of the current stock, but are not growth rates against the initial stock. OKX forecasted prices for Bitcoin, Ethereum, and Solana as of 08:02. The forecast included funding rates and open interest, but did not demonstrate extreme positive funding without historical distribution. The issuer, IBIT, reported shares of 1,387,360,000 and a net asset value of 43.67 as of September 10, with total assets of 60.5916 billion. This is one baseline, but not a creation flow. Circle reported a 151% increase in volume and a 7% increase in revenue for the second quarter, with a reserve income of 668 million and total distribution, transaction, and other costs of 412 million. Arc may migrate existing liquidity instead of creating it as of September 16. The conclusion is that there is no directional order in this context. The links between cash capture and spot allocation are missing, and gross issuance counts recycling. The next update could be based on new users, fees, and chain balances, but this would not retroactively confer a price edge. The primary sources for this information are Circle's transparency report, Circle's press room, OKX's funding rate and open interest APIs, and the iShares Bitcoin Trust ETF website.
A news scan found the following text: Premise 1 is based on 552 hourly bars per asset from August 19, 08 UTC, to September 11, 07 UTC, with 547 overlapping 5-hour return blocks. The seed 91108 draws 20,000 blocks per asset, totaling 60,000 draws, but only 547 historical blocks each, preserving within-block dependence and not introducing new independent evidence. Premise 2 freezes the current 480-hour thresholds. The required gains for BTC, ETH, and SOL are 6.5140%, 4.03979%, and 10.82051%, respectively, with hourly-close fixed-threshold touches of 0%, 3.375%, and 0% in the bootstrap. The ETH terminal 5-hour mean is 0.263294%, with the 1st and 99th percentiles being -3.221144% and +8.031913%, and the worst observed 5-hour return being -3.733345%. Premise 3 samples include one recent market regime, are not conditioned on CPI events or breakout conditions, and exclude intrahour excursions and new unseen shocks. The conclusion is to not anticipate entry, as the rolling production threshold can change while the scenario keeps it fixed. The descriptive bootstrap supports monitoring relevance only, not order size, CPI probability, or costed policy return. A prior 90k 20-day study, numbered 2670, remains the risk reference and was not rerun. The source is https://runway.adityaperswal.workers.dev/data/crypto-bars, with local study.py and study.json, and observations from 25017 onward.
A news scan found the headline 'C91108 pre-open concentration and data continuity'. The analysis is based on three premises. Premise 1 looks at hourly data from August 19, 08:00 UTC, to September 11, 07:00 UTC, which includes 552 bars of data for each cryptocurrency, with no missing hours, and 551 aligned log returns. The correlation between Bitcoin and Ethereum is 0.844566, between Bitcoin and Solana is 0.732571, and between Ethereum and Solana is 0.726796. The hourly standard deviation is 0.480154%, 0.650954%, and 0.740780% for each respective pair. Premise 2 examines the latest 15-note sample, which has a maximum gap of 30.0107 minutes between quote receipts and 29.9372 minutes between entries on a 15-minute cadence. However, this sample is not exhaustive and does not prove there were no stop outages. Premise 3 looks at one closed cryptocurrency trade, where the operator liquidated after 47 minutes and 56 seconds, entering at 81614.8 and exiting at 81548.7, but it cannot estimate the strategy's exit odds or order-type slippage. The conclusion is that Bitcoin and Ethereum positions would be one correlated risk, so they should not be sized independently. The fresh complete bar window supports current signal measurement, not historical execution. The prior fear of missing tail remains separate from the correlation fact. The source of this information is https://runway.adityaperswal.workers.dev/data/crypto-bars, with queries from query_trades and query_research for the crypto fund.
The automated trading fund manager made a decision on cash, frozen ETH, and prospective regime labels. The account started with $235.86 in cash and no holdings or queued orders, with the goal of achieving a repeatable positive executable net payoff. The manager considered three premises. Premise 1 was completed at 05:00 UTC, with BTC at $22,729.19, ETH at $2,467.15, and SOL at $99.88, which were below the 480-hour high of $22,233.50 for BTC, $2,565.9 for ETH, and $110.54 for SOL. A new receipt confirmed all false at 21:07:06. Premise 2 involved a costed vector of btcells, with daily and hourly training from 2024 to 2025, and a holdout in 2026, with a maximum cash reconciliation of 2.45e-15. ETH had an hourly return of 17.24%, with a 20bp stress of 15.84%, and a daily return of -17.63%. BTC had a positive hourly return of 7.64%, but a prior 15-minute negative return. SOL had an hourly training return of -0.48% and a stress holdout return of -0.03%. Premise 3 involved 90,000 moving block paths and regime HAC7, which did not establish a new filter. ETH trade bootstrap mean CI was between -1.59% and 8.39%, with an unconditional 24-hour path mean of -2.08%. Premise 4 involved current quotes, with 8 out of 10 being fresh, but not validation of historical quotes or off-run 15-minute trail. The conclusion was to make no orders, with $235.86 in cash chosen because the present payoff was not eligible, not because certainty was required. A conditional half Kelly hypothetical involved 117.93 ETH per quarter, with a nominal quarter risk of $2.29. The prior watch remained unchanged, with the current uptrend low vol context not moving the entry threshold. The validity of the decision was based on the absence of a condition, and the soundness was affected by a small N, reused holdout, older data anomalies, and venue execution gaps. The strongest counterargument was that cash misses fat tails accepted, and the decision aimed to capture the actual next breakout prospectively rather than buying 4% early. A news scan found the sources https://runway.adityaperswal.workers.dev/data/crypto-bars, https://docs.alpaca.markets/us/docs/crypto-fees, https://www.okx.com/api/v5/public/funding-rate, and https://x.com/Blockstream.
A news scan found the text describing an automated trading fund manager's notes. The manager starts with $235.86 in cryptocash and an account balance of $850.99, with no holdings. The goal is to have a positive executable net expectancy without any binding constraints or frozen entries. The manager considers three premises: first, trading Ethereum (ETH) every 6 hours with a 17.24% holdout, but with a mean confidence interval of -1.59% to 8.39%; second, the current Simple Moving Average (SMA) is up, but with low volatility, and is 4.00% below the breakout point; and third, the ETH 24-hour block stop model shows a worst-case scenario of -12.44% versus a nominal net risk of 7.78%. The manager then describes four consequence chains: Chain A, Chain B, Chain C, and Chain D. Chain A involves a false warm-up cast, a winning early training trade, and an allocator that learns a false filter. Chain B involves strong selected trades, a manager buying before a breakout, and conditional historical odds replaced by unconditional entry with a negative 2.08% simulated mean. Chain C involves a moving block price jump, a sampled exit below a level, and a loss larger than planned. Chain D involves an operator refusing a ransom, uncertain resolution timing, and potential redemption or spot flows depending on actual recovery. The manager notes that venue fees benefit regardless of trade quality, and post-hoc filters may benefit apparent backtests but not necessarily capital. The manager uses data from several sources, including https://runway.adityaperswal.workers.dev/data/crypto-bars, https://docs.alpaca.markets/us/docs/crypto-fees, https://x.com/Blockstream, and https://blockstream.info/liquid/api/blocks.
A news scan found the report that the C91106 favorable broad trend is not a completed breakout. On September 11, at 05:00 UTC, the prices of Bitcoin, Ethereum, and Solana were 77229.185, 2467.145, and 99.8787, respectively. The prior 480-hour high was 82233.502538071 for Bitcoin, 2565.9 for Ethereum, and 110.5357 for Solana. The distance between the current prices and the prior high is 6.479827% for Bitcoin, 4.002805% for Ethereum, and 10.669943% for Solana, and this is not a completed breakout with the full 480-hour history. On September 10, the daily close for Bitcoin, Ethereum, and Solana was 76535.875, 2436.8075, and 98.6025, respectively, which is higher than the 50-day simple moving average of 70403.34736 for Bitcoin, 2147.85729 for Ethereum, and 86.343249 for Solana, and the 5-day slope of the simple moving average is positive. This means that the broad trend is favorable, but there is no entry signal. The 14-day average true range, which is a measure of volatility, is 2283.570431 for Bitcoin, 88.013494 for Ethereum, and 4.975069 for Solana. The current risk for Ethereum is 7.134846% before costs, and the net stop is 7.783209%. The net 3R target requires a 24.216882% price increase. The current market levels of 2291.118 for Bitcoin and 3064.611 for Ethereum are not entry orders, and an actual breakout would recompute the average true range and payoff. A census of the 7-day dollar volume for 36 USD pairs, including USDC/USDG, BTC/ETH/XRP/LTC/SOL/LINK/HYPE/UNI, shows that USDG only has 3 out of 7 days of complete data. There is no 20-day close breakout among the 36 pairs, and it is not a global volume universe. At 06:03, 7 out of 10 quotes are fresh and less than or equal to 300 seconds old, with Ethereum near the cutoff at 283 and the top ask at 82.7 USD. A hypothetical probe of 29.4825 fits the observed depth, but a full need of 117.93 requires more book. The Ethereum spread plus fee hurdle is 5.30%, and additional execution costs are not included. The conclusion is that there is no order, and fresh quotes should only be checked when an actual frozen entry occurs. The sources of the data are https://runway.adityaperswal.workers.dev/data/crypto-bars and https://runway.adityaperswal.workers.dev/data/crypto-snapshots.
A news scan found the following data: The C91106 measured hourly tails and limitations of the live track record from September 11, 2025, to September 11, 2026, with 8757, 8755, and 8747 samples for Bitcoin, Ethereum, and Solana, respectively. The hourly standard deviation was 0.467913%, 0.646934%, and 0.717868% for the three cryptocurrencies. The 1st percentile was -1.39813%, -2.07364%, and -2.10302%, while the 99th percentile was 1.33560%, 1.84153%, and 2.11065%. The worst-case scenario was -4.91158%, -6.12774%, and -6.10547%. The standard deviation on weekends was 0.328454%, 0.503313%, and 0.604826%, which is lower than the 0.513047%, 0.695920%, and 0.758127% on weekdays, but this lower variance does not provide left-tail protection, meaning it does not protect against large losses. The mean log hour was -0.004500%, -0.006600%, and -0.008465%, which is dependent on the dataset and regime, and not a forecast. A sole live crypto trade for Bitcoin was made with an entry at 81614.8 and an exit at 81548.7, resulting in a win of 0/1, with the exit being neither a stop nor a target, and the trade was held for 47 minutes and 56 seconds, versus the expected 3-4 weeks. It is not possible to calibrate the setup win rate, stop odds, market versus limits, slippage, or session effects from this forced sample, and actual fee activities are unretrieved. A regression analysis using HAC7 and bootstrap CI showed that the results cross zero, but there is no claim of new independent 2026 holdout, and repeated data reuse is flagged. The conclusion is to use a useful tail distribution and source and coverage controls, and prospective outcomes are required to measure edge, not operator intervention. The validity of descriptive statistics is noted, but not causal claims, and the soundness of the provider price construction and unobserved bid-ask remains a limitation. The sources of the data are https://runway.adityaperswal.workers.dev/data/crypto-bars and query_trades fund crypto trade 10.
A news scan found the headline is not available, but a data line was found. The data line describes a trading strategy called C91106. The strategy was tested on the ETH asset with a unique 20-day hourly path. The test ran from September 11, 2025, to September 11, 2026. The strategy used a static and trailing share path with 180,000 possible outcomes. The strategy aimed for a 3R target return, which means three times the risk, with a 25 basis point fee and a 10 basis point lip, or slippage, which is the difference between expected and actual trade prices. The strategy also used a 2R cost-benefit ratio and a peak-2 ATR trail, which is a type of stop-loss order that uses the average true range, or ATR, to set the stop price. The first sampled close exit was used, with a 20-day timeout. The results showed a mean net return of -2.00844%, -2.08325%, and -2.38655% for the static 1, 24, and 72-hour targets. The trailing mean returns were -1.87692%, -1.97279%, and -2.25903%. A separate test was run on 20,000 independent and identically distributed, or IID, bootstrap samples of ETH trades. The results showed a mean return of 2.874945% with a 95% confidence interval of -1.587870 to 8.390857. The win rate was 66.667% with an average win of 5.848427 and an average loss of 3.072019. The best compound return was 1.735528%. A cash-only log growth grid maximizer was used to determine the optimal allocation. The results showed that a 50% allocation would result in a terminal loss of 13.14% with a 5th percentile of -3.12814 and a 95th percentile of 23.84138. The same test was run on the BTC asset with similar results, but the SOL asset showed negative results and was not deployed. The conclusion is to retain cash now and retain a conditional watch. The results do not disprove the conditional breakout edge, and the empirical bootstrap does not give the probability of a true edge or unseen crisis coverage. The source of the data is https://runway.adityaperswal.workers.dev/data/crypto-bars, with observations from 24796 to 24819.
A news scan found the text describing the trend and volatility of Ethereum, or ETH. The premise is based on the idea that the prior close is above the 50-day Simple Moving Average, or SMA, which is a calculation of the average price of a stock or currency over a certain period of time. The current slope of the price over 5 days and the annualized volatility, which is a measure of how much the price of a stock or currency fluctuates, are also considered. The high volatility threshold for Bitcoin, or BTC, Ethereum, or ETH, and Solana, or SOL, is 43.64%, 64.30%, and 74.97% respectively. As of September 10, all of these currencies are above their SMA50 and have rising and low volatility, with percentages of 34.00%, 39.17%, and 60.61% respectively. The second premise looks at the hourly trades of ETH in 2026, which shows that low volatility trades have a mean of 4.50%, while high volatility trades have a mean of -0.38%. The trend of ETH is also examined, with an uptrend having a mean of 3.33% and a downtrend having a mean of 1.97%. The third premise uses a diagnostic to predict the next day's log return, which is a measure of the change in price, based on the trend, high volatility, and interaction between the two. The conclusion is that there is no new filter deployment or refit, due to the limitations of the model and the data. The source of the data is https://runway.adityaperswal.workers.dev/data/crypto-bars, with observations from 24824 to 24828 and 24852 to 24875, and a warmup note of 2237.
A news scan found the text of a report on an automated trading fund manager's notes for C91106 SOL. The report discusses the fund's hourly frozen net replication and cost stress. The fund uses a premise with a frozen rolling 480 hour high and 240 hour low, and an ATR14 reconstructed from full 24 hour UTC days. The fund has a 2 ATR risk, cost-aware 3R target, 20 day timeout, and a peak 2 ATR trailing target. The report states that signals occur after a completed bar, at the next exact open, and exits are sampled at hourly opens. The fund credits a 25 basis point fee per side and 10 basis point lippage baseline, with a 20 basis point stress that freezes the baseline target. The report also discusses the fund's training and holdout returns, with a training return of -0.4796588637% and a holdout return of 1.1724554945%. The report concludes with a research rejection due to negative hourly training, stress, and prior 15 minute execution test results, resulting in no order. The report cites sources https://runway.adityaperswal.workers.dev/data/crypto-bars and https://docs.alpaca.markets/us/docs/crypto-fees, and notes observations 24627-24674 and specification 2231.
A news scan found the text of a daily report from an automated trading fund manager for SOL. The report has three premises. Premise 1 describes the trading strategy, which uses a 20-day high and low, a 14-day average true range, or ATR, which is a measure of price volatility, and a 3R target, where R is a risk unit. The strategy also includes a 20-day timeout and a 2R cost, with a peak 2ATR trailing stop. The target is retained until the next exact open. Exits are sampled at daily opens, and missing opens are skipped. The report notes that stop fills are not guaranteed. The strategy credits a 25 basis point fee per side, which is a 0.25% fee for buying or selling, and a 10 basis point lippage baseline, which is a 0.10% expected price difference. A 20 basis point stress freezes the baseline target. The report uses a cash-only vectorbt, which is a backtesting library, with an initial cash value of 1.0. Premise 2 compares the training period from 2024 to 2025 with a holdout period from 2026 January 1 to September 11. The training return was 29.23%, the maximum drawdown, or DD, was 27.02%, and there were 9 trades. The holdout return was -8.22%, the DD was 31.79%, and there were 6 trades, with a win rate of 16.67% and a mean return of -0.64%. The stress return was -9.31%, the static return was -8.22%, and the buy and hold, or BH, return was -18.41%. Premise 3 notes that all current frozen entries are false, and daily and hourly policies are distinct, with no equal return requirement. The report concludes that the research is rejected due to negative hourly training, negative stress, and negative prior 15-minute execution test results. The accounting is valid within assumptions, but there are limitations due to unknown historical bid-ask spreads, 2025 bar anomalies, small sample size, and off-run exact trail implementation. The sources of the data are https://runway.adityaperswal.workers.dev/data/crypto-bars and https://docs.alpaca.markets/us/docs/crypto-fees. The observations are from 24627 to 24674, and the specification is 2231.
A news scan found the report of an automated trading fund manager. The report discusses the performance of an Ethereum trading strategy. The strategy uses a 480-hour high and 240-hour low, with a 14-day average true range, or ATR, which is a measure of price volatility. The strategy aims to make a 3R return, which means making three times the risk amount, with a 20-day timeout and a 2R cost basis, or breakeven, and a peak 2ATR trailing stop. The strategy enters trades at the next hourly open after a signal, and exits are sampled at hourly opens, with missing opens skipped and no guaranteed stop fills. The strategy credits a 25 basis point fee per side, which is a 0.25% fee, and 10 basis points of lippage, which is a measure of the difference between the expected and actual price of a trade, as a baseline, with a 20 basis point stress test that freezes the baseline target. The strategy uses a cash-only vector and initializes with a cash amount of 1.0, with raw wealth and closed trade fee denominators reconciled to less than 1e-10 across 48 cells, with a maximum of 2.45e-15. The report compares the performance of the strategy in two time periods: from 2024 to 2025, and from January 1, 2026, to September 11, 2026. The training return was 33.25%, with a maximum drawdown of 39.72%, and 19 trades. The holdout return was 17.24%, with a maximum drawdown of 19.83%, and 6 trades, with a win rate of 66.67% and a mean return of 2.87%. The stress test return was 15.84%, with a static return of 17.24%, and a buy-and-hold return of -17.60%. The report notes that all current frozen entries are false, and that daily and hourly policies are distinct, with no equal return requirement. The report reproduces a prior return of 17.24% with six trades exactly, but notes that repeated calculation is not new independent proof. The report concludes that it is for research watch only, and no order should be placed. The report notes that the accounting is valid within assumptions, but that unknown historical bid-ask spreads, 2025 bar anomalies, small sample size, and off-run exact trail implementation limit the soundness of the results. The report cites two sources: https://runway.adityaperswal.workers.dev/data/crypto-bars and https://docs.alpaca.markets/us/docs/crypto-fees. The report is based on observations from 24627 to 24674, with a specification of 2231.
A news scan found the report of an automated trading fund manager for C91106 ETH. The report discusses the daily frozen net 3R replication and cost stress. The premise uses a native daily high and low with a 14-day average true range, or ATR, which is a measure of volatility. The cost-aware target has a 20-day timeout and a 2R cost breakeven, or BE, with a peak 2ATR trailing stop. The target is retained and the signal is given after the bar is completed, with the next exact open. Exits are sampled at daily opens, and missing opens are skipped, with no guaranteed stop fills. The credited asset has a 25 basis point fee per side, which is a measure of the cost, and a 10 basis point lippage baseline, which is a measure of the difference between the expected and actual price. A 20 basis point stress freezes the baseline target. The cash-only vector backtest, or bt, has an initial cash of 1.0, and the raw wealth and closed trade fee denominators are reconciled to be less than or equal to 1e-10 across 48 cells, with a maximum of 2.45e-15. The training period is from 2024 to 2025, with a holdout period from 2026 January 1 to September 11 00 UTC. The training return is 2.0291530569%, with a drawdown, or DD, of 34.9426662999%, and 15 trades. The holdout return is -17.6324659487%, with a DD of 27.3536412981%, a win rate of 20%, and 5 trades, with a mean return of -3.5218771014%. The stress return is -18.452038509%, the static return is -17.6324659487%, and the buy and hold, or BH, return is -16.7705527594%. All current frozen entries are false, and daily and hourly policies are distinct, with no equal return requirement. This report is for research watch only, and no order should be placed. The accounting is valid within assumptions, but there are limitations due to unknown historical bid ask, 2025 bar anomalies, small sample size, and off-run exact trail implementation. The source of the data is https://runway.adityaperswal.workers.dev/data/crypto-bars and https://docs.alpaca.markets/us/docs/crypto-fees. The observations are from 24627 to 24674, and the specification is 2231.
A news scan found the report: Premise 1 uses a frozen rolling 480 hour high and 240 hour low, with a 14-day Average True Range (ATR), which measures price volatility, reconstructed from full 24 hour UTC days. It has a 2 ATR risk, cost-aware 3R target, 20 day timeout, +2R cost breakeven (BE) and peak-2 ATR trailing, target retained. Signals occur after a completed bar, at the next exact open, and exits are sampled at hourly opens, with missing opens skipped and no guaranteed stop fills. The report credits a 25 basis point fee per side and 10 basis point lippage baseline, with a 20 basis point stress that freezes the baseline target. The vectorbt init cash is 1.0, with raw wealth and closed trade fee denominators reconciled to less than or equal to 1e-10 across 48 cells, with a maximum of 2.45e-15. Premise 2 compares the chronological 2024-25 train, with SOL available from August 26, 2024, to the reused 2026 January 1 to September 11 00 UTC holdout, with a flat reset. The training return is 20.5581742344%, with a drawdown (DD) of 28.4815768457% and 19 trades. The holdout return is 7.6357530493%, with a DD of 12.8707598205%, a win rate of 50%, 6 trades, and a mean of 1.4019896435%. The stress is 6.3518399027%, the static is 7.6357530493%, and the buy and hold (BH) is -12.2163852845%. Premise 3 states that all current frozen entries are false, with daily and hourly distinct policies and no equal return requirement. The conclusion is for research watch only, with no order. The report notes valid accounting within assumptions, but unknown historical bid ask, 2025 bar anomalies, small N, and off-run exact trail implementation limit soundness. The sources are https://runway.adityaperswal.workers.dev/data/crypto-bars and https://docs.alpaca.markets/us/docs/crypto-fees, with observations from 24627 to 24674 and specification 2231.
A news scan found the headline 'C91106 BTC daily frozen net3R replication and cost stress'. The report discusses a trading strategy for Bitcoin (BTC) with specific rules: it freezes the native daily high and low, uses a 14-day average true range (a measure of price volatility) to set a 2 times risk target, and has a 20-day timeout. The strategy also includes a cost-aware target return and a peak 2 times average true range trailing stop. The report notes that signals are generated after a completed bar, and exits are sampled at daily opens, with missing opens skipped and no guaranteed stop fills. It also mentions that a 25 basis point fee per side and 10 basis point lippage (the difference between the expected price and the actual price) are credited to the asset, with a 20 basis point stress freeze on the baseline target. The report references two premises: the first discusses training data from 2024 to 2025, with a return of 1.4238283647% and a drawdown (the maximum loss from a peak to a trough) of 32.3728386495%, and the second discusses holdout data from 2026, with a return of -3.355266979% and a drawdown of 21.0292788335%. The report concludes that all current frozen entries are false, and that daily and hourly policies are distinct, with no equal return requirement. It also notes that this research is for watching only, and no orders should be placed based on it. The report cites two sources: https://runway.adityaperswal.workers.dev/data/crypto-bars and https://docs.alpaca.markets/us/docs/crypto-fees, and references observations 24627-24674 and specification 2231.
A news scan found the headline about C91106 primary flow economics and updated Liquid operator position. On September 11 at 06:03, the OKX forecast for funding rates was BTC 0.7513, ETH 0.3480, and SOL 0.7149 basis points, which were settled at 0.876, 0.3053, and -0.0697 basis points. The coin open interest was 29622.069, 598161.432, and 2748275.94. The current funding forecast is not settled and carry and cash spot earns 0 swap funding. Levels alone cannot identify long or short positioning or extremes. On September 7, Circle had a circulation of 74.28 billion USD, with 8.8 billion issued and 7.86 billion redeemed, resulting in a net of 0.94 billion, with a total of 0.134286 billion per day. Over 30 days, 36.59 billion was issued and 34.37 billion was redeemed, resulting in 2.22 billion, or 0.074 billion per day. Over 365 days, 333.52 billion was issued and 331.64 billion was redeemed, resulting in 1.88 billion. On September 11, Llama's balance was 74.212069483 billion, and chain allocations have different cutoffs, with no demonstrated marginal ETH or SOL buying. Blockstream's official account stated that they refuse to pay ransom and seek recovery, but the publication time is unverified. Both chain explorers showed balances of 598.50048115 and 3601.47203772 BTC, which were unchanged and not authenticated payout. In conclusion, the context does not supply entry below frozen breakout. Fees accrue to the venue regardless of direction, and reserve income may accrue to the issuer, not automatically to spot holders. The strongest counterargument is that new stablecoins could later fund risk, but this needs observed flow plus validated price condition. The facts are from the direct exchange panel and issuer statement, and the future flow response is an assumption. The sources are https://www.okx.com/api/v5/public/funding-rate, https://www.okx.com/api/v5/public/open-interest, https://www.circle.com/transparency, https://stablecoins.llama.fi/stablecoin/2, https://x.com/Blockstream, and https://blockstream.info/liquid/api/blocks.
A test was run on September 11 at 06:02 UTC using a computer program called node and a file named backtest.js. The test looked at the prices of three cryptocurrency pairs, BTC/USD, ETH/USD, and SOL/USD, over 730 days using a strategy called breakout. The results were: BTC had a return of 25.66649%, a drawdown of 13.53672%, a win rate of 32.6531%, 49 trades, and a buy and hold return of 34.63505%; ETH had a return of 28.90543%, a drawdown of 24.94326%, a win rate of 21.62162%, 37 trades, and a buy and hold return of 5.45225%; SOL had a return of 80.47402%, a drawdown of 18.79539%, a win rate of 53.125%, 32 trades, and a buy and hold return of -24.66375%. This test, called Premise1, assumed perfect trading with no fees or slippage, and ideal stop levels. Another test, Premise2, used a different method with hourly high and low prices and accounted for costs. The conclusion is that these results are not suitable for making actual trades, but they do satisfy a required diagnostic test. A separate study using a tool called vectorbt is also being run. The data used for this test can be found at https://runway.adityaperswal.workers.dev/data/crypto-bars, and information on fees can be found at https://docs.alpaca.markets/us/docs/crypto-fees.
A news scan found the headline about a decision to retain crypto cash. The automated trading fund manager has decided to keep $235.86 in cash and not make any trades. The manager's goal is to have a positive expectancy, but there is currently no opportunity to enter the market. The manager checked the prices of Bitcoin, Ethereum, and Solana on March 3 at 07:00 UTC, which were $76,864.9, $2,445.725, and $99.29365 respectively, and found that they were below their 20-day highs. The manager also backtested 240 cells, including 168 matched and 72 full native cells, and found that the results were consistent with the expected outcomes. The manager's analysis of Ethereum showed a daily return of -17.632466% and a rolling hourly return of 17.240439%, which were reproduced over 252 days with no difference in opening, high, low, and closing prices. The manager concluded that there is no need to make a trade at this time and that the current cash position is the best option. The manager also noted that the current quotes and trail do not provide any historical fill validation. The decision was based on three premises, including the completion of a daily census, the results of the backtesting, and the analysis of Ethereum's rolling mean and training data. The manager also considered the potential risks and opportunities, including the potential for a 11.994781% loss in March and the potential for a 22.17185% gain in a separate study. The manager's conclusion is that there is no need to make a trade at this time and that the current cash position is the best option. The manager's sources include data from Runway, Alpaca, and Blockstream.