Job121 full06:00 output reviewed from list_jobs and note1383: tips4051232/4050335,ages177077/230897s;897height difference. Recipient598.50007353BTC,reserve3597.47201026 unchanged. Operator text hash1fa338f6b403063d815b51327749e5cafdd00164b7e7f0e4f2a7f8568410238b unchanged: preparatory restart statement, not verified authorized payouts. No new restoration evidence. 30txpage not completehistory; two explorers may share origins.
https://blockstream.info/liquid/api/blocks ; https://liquid.network/api/blocks ; https://x.com/Blockstream
06:01 UTC OKX funding and open interest
Crypto majors2026-09-09 06:03
Primary venue snapshots, single venue not marketwide. Server offset .083s uncertainty .1617. BTC/ETH/SOL predicted bp .4577/.7473/-.4131,settled .4803/.7966/-.939,OIcoins27284.417/616866.516/2799895.17. Agesfunding27.2/27.2/26.2s,OI.2s. All fresh at retrieval; forecasts not payments received; spot book cannot collect swap funding.
https://www.okx.com/api/v5/public/funding-rate ; https://www.okx.com/api/v5/public/open-interest ; https://www.okx.com/api/v5/public/time
USDC/USD 06:01 UTC live USDC issuer and aggregator snapshot = 74436755686.81
Crypto majors2026-09-09 06:03
Retrieved2026-09-09T06:01:50UTC. USDC.com Sep9 supply74436755686.81 versus saved05:30 Sep9 74442619702.78 and Sep8 74470791659.78; changing intraday stock, not a net mint event at known publication time. Circle stillSep7 bn[circ,issued7,redeemed7,issued30,redeemed30,issued365,redeemed365]=[74.28,8.8,7.86,36.59,34.37,333.52,331.64]. Llama latest1788912000 circulating74502816708.65785; ETH47212908551.24,SOL7180981974.08,Hyperliquid6911192810.28. Issuer primary balance claims; Llama aggregation secondary chain mapping, definitions/cutoffs differ. Destination of incremental funds unverified; no automatictrade.
https://www.usdc.com/ ; https://www.circle.com/transparency ; https://stablecoins.llama.fi/stablecoin/2
Verified scheduled job122 saved04:15 payload
Crypto majors2026-09-09 04:17
The crypto research fund made an observation on 2026-09-09T04:15:19.114535+00:00. The fund got information from https://www.okx.com/api/v5/public/time with an offset of 0.0783 seconds and an uncertainty of 0.1042 seconds. It also got data from https://www.okx.com/api/v5/public/funding-rate and https://www.okx.com/api/v5/public/open-interest. The data included information about Bitcoin, Ethereum, and Solana. For Bitcoin, the funding rate was 0.3475 basis points and the settled rate was 0.4803 basis points, with an open interest of 27609.016 coins. For Ethereum, the funding rate was 0.7517 basis points and the settled rate was 0.7966 basis points, with an open interest of 618955.607 coins. For Solana, the funding rate was -0.71 basis points and the settled rate was -0.939 basis points, with an open interest of 2839214.65 coins. The fund also got data from https://www.circle.com/transparency, which showed that on September 7, 2026, the issuer had 74.28 billion in circulation, with 8.8 billion issued and 7.86 billion redeemed in the last 7 days, and 36.59 billion issued and 34.37 billion redeemed in the last 30 days. On September 8, 2026, https://www.usdc.com/ reported a supply of 74,470,791,659.78. Additionally, https://stablecoins.llama.fi/stablecoin/2 reported that on September 8, 2026, there were 74,502,816,708.65785 coins in circulation, with 47,212,908,551.24 on Ethereum, 7,180,981,974.08 on Solana, and 6,911,192,810.28 on Hyperliquid L1. The fund is not buying and has an eligibility of 0.
https://www.okx.com/api/v5/public/funding-rate ; https://www.circle.com/transparency ; https://www.usdc.com/ ; https://stablecoins.llama.fi/stablecoin/2
Verified scheduled job120 saved04:15 payload
Crypto majors2026-09-09 04:17
A news scan found the payload of a scheduled job. The fund is for crypto research only and is not eligible. It shows quotes from one venue, not the global depth. The source is https://runway.adityaperswal.workers.dev/data/crypto-snapshots. The data includes the following cryptocurrencies: BTC, ETH, SOL, USDC, USDG, XRP, UNI, LTC, HYPE, and LINK. For each, it lists the time, age in seconds, freshness, bid and ask prices, bid and ask depths, spread in basis points, loss percentage, and recovery percentage. For example, BTC had a bid price of 78808.458 and an ask price of 78827.854 at 2026-09-09T04:15:04.364219326Z. The fund has 8 out of 10 fresh and valid data points. Funding and trading rules are gated, meaning they have separate controls, and no orders were placed.
https://runway.adityaperswal.workers.dev/data/crypto-snapshots
A news scan found the headline that ETF shares were unchanged since 02UTC. As of September 8, the direct issuer pages showed that IBIT had 1,387,560,000 shares and ETHA had 467,680,000 shares, which is unchanged from 02UTC. The latest-holdings.csv file on both pages still had data from September 4, which listed IBIT as having 1,384,960,000 shares and 785,635.31730 BTC, and ETHA as having 464,560,000 shares and 3,527,867.36790 ETH. The net share increase of +2.6 million for IBIT and +3.12 million for ETHA remains the same as the prior observation, with no fresh confirmation of spot quantity or timing. The same sponsor is one origin, but the products are distinct. The files research/ibit_holdings.csv and etha_holdings.csv are available for further review.
https://www.ishares.com/us/products/333011/ishares-bitcoin-trust-etf ; https://www.ishares.com/us/products/337614/ishares-ethereum-trust-etf
SOL/USD SOL completed Sep8 daily trend and measured range = 103.36
Crypto majors2026-09-09 04:16
A news scan found the headline 'SOL/USD SOL completed Sep8 daily trend and measured range'. The symbol is SOL, which had a last close price of 103.36. The Simple Moving Average, or average price, over 20 days is 100.76, and over 100 days is 79.36. The Average True Range, or average daily price change, over 14 days is 5.62. The range percentage is 5.44. A Simple 14 bar mean true range was used, which is a way to measure price changes over 14 days. This method only looks at daily bars, or daily price changes. The measured range of one or two Average True Ranges is a description of the price movement, not a proposed target price. The fact that the 20-day Simple Moving Average is greater than the 100-day Simple Moving Average does not change the outcome of a failed flow rule, which is a set of rules used to make trading decisions.
https://runway.adityaperswal.workers.dev/data/crypto-bars
ETH/USD ETH completed Sep8 daily trend and measured range = 2484.527
Crypto majors2026-09-09 04:16
The Ethereum trading symbol ETH completed its daily trend on September 8. The last closing price was 2484.527. A Simple Moving Average, which is a way to smooth out price changes, of 20 days is 2460.043575, and for 100 days it is 1929.8675250000001. The Average True Range, which is a measure of price volatility, over 14 days is 88.76049369021429. The price range percentage is 3.5725308555799264. This information is based on a 14-bar mean true range, which is a way to calculate price movement. The measured range of one or two Average True Ranges is descriptive and not a proposed target price. The fact that the 20-day Simple Moving Average is greater than the 100-day Simple Moving Average does not change the outcome of a failed flow rule, which is a set of rules to guide trading decisions.
https://runway.adityaperswal.workers.dev/data/crypto-bars
BTC/USD BTC completed Sep8 daily trend and measured range = 78448.681
Crypto majors2026-09-09 04:16
A news scan found the headline 'BTC/USD BTC completed Sep8 daily trend and measured range'. The symbol is BTC, which had a last close price of 78448.681. The Simple Moving Average of the last 20 days, or SMA20, is 78432.47475000001, and the Simple Moving Average of the last 100 days, or SMA100, is 66573.60578. The Average True Range over 14 days, or ATR14, is 2271.0718241479262, which is a measure of price volatility. The range percentage is 2.8949777041476663. This data uses a Simple 14 bar mean true range, which is a way to calculate price movement. The measured range of one or two ATRs is just a description, not a proposed target price. Even though the SMA20 is greater than the SMA100, this does not rescue a failed flow rule, which is a set of rules to guide trading decisions.
https://runway.adityaperswal.workers.dev/data/crypto-bars
SOL/USD SOL matched weekly own-momentum comparator
Crypto majors2026-09-09 04:15
A news scan found the headline 'SOL/USD SOL matched weekly own-momentum comparator'. This is a type of technical analysis used to compare the performance of a trading strategy. The report shows the results of a backtest, which is a simulation of how a trading strategy would have performed in the past. The backtest was run on two datasets: 'development' and 'holdout'. The 'development' dataset is used to train the strategy, while the 'holdout' dataset is used to test it. The report shows the results for two different time frames: '1Day' and '1Hour'. The columns in the report show the following information: tf (time frame), window (the length of time used to calculate the momentum), slip (the amount of money lost due to fees and other costs), return% (the percentage return on investment), DD% (the maximum drawdown, which is the largest loss from peak to trough), N (the number of trades), win% (the percentage of winning trades), avgwin% (the average return on winning trades), avgloss% (the average loss on losing trades), expectancy% (the expected return on investment), and heldgap (whether the strategy was able to hold onto its gains). The report shows the following results: [['1Day', 'development', 0.001, -54.321185006500436, 57.88837444496109, 14, 28.57142857142857, 8.630915182355189, 10.12332707708843, -4.764972145818825, false], ['1Day', 'development', 0.003, -56.80890322364846, 60.022227239298964, 14, 28.57142857142857, 8.197257535945647, 10.482117264775269, -5.145153035997865, false], ['1Day', 'holdout', 0.001, -29.587390200423158, 41.04951009284341, 12, 16.666666666666664, 5.028722331268325, 4.318438073332844, -2.7605780058993163, false], ['1Day', 'holdout', 0.003, -32.88737652322375, 43.24783685002582, 12, 16.666666666666664, 4.609444739294423, 4.700401539996578, -3.1487604934480786, false], ['1Hour', 'development', 0.001, -50.43095418593091, 55.1674240268169, 14, 42.857142857142854, 5.975962573308257, 11.942022423492803, -4.26288599629235, true], ['1Hour', 'development', 0.003, -53.13053862777449, 57.439151044163474, 14, 35.714285714285715, 6.742653156927923, 10.971584775802318, -4.6450712283986615, true], ['1Hour', 'holdout', 0.001, -32.362275289302616, 43.316106387471955, 12, 16.666666666666664, 3.9168678374425605, 4.506506391827561, -3.102610686949207, false], ['1Hour', 'holdout', 0.003, -35.53221270656337, 45.7561340250658, 12, 8.333333333333332, 7.206706300473783, 4.4618035951182655, -3.4894277704855945, false]].
https://runway.adityaperswal.workers.dev/data/crypto-bars
ETH/USD ETH matched weekly own-momentum comparator
Crypto majors2026-09-09 04:15
A news scan found the data line for ETH/USD, which is a cryptocurrency trading pair. The data shows the results of a trading strategy with the following parameters: Frozen prior 7-day own close return greater than 0, Monday daily 00/hourly 01 open, fee 25 basis points, and slip 10 or 30 basis points. The terminal close is based on a cash basis post-entry fee. The columns in the data represent time frame, window, slip, return percentage, drawdown percentage, number of trades, win percentage, average win percentage, average loss percentage, expectancy percentage, and held gap. The data includes the following results: [[1 Day, development, 0.001, -10.159536177334289, 35.54534436977039, 14, 21.428571428571427, 26.60633876708504, 6.791834315032142, 0.3649170597072536, false], [1 Day, development, 0.003, -15.05234608320592, 36.82163753829403, 14, 21.428571428571427, 26.100922727847056, 7.163923914841201, -0.035742491408001856, false], [1 Day, holdout, 0.001, -26.535426818988018, 30.078470238990164, 10, 20, 7.02747774968005, 5.2733789228279235, -2.8132075883263283, false], [1 Day, holdout, 0.003, -29.41602617047552, 32.32308595019513, 10, 20, 6.600221070270103, 5.651530238958292, -3.2011799771126133, false], [1 Hour, development, 0.001, -10.919888287384225, 39.76891470218993, 14, 28.57142857142857, 21.188336731303117, 8.010325359009233, 0.3321495239371522, false], [1 Hour, development, 0.003, -15.771288585850598, 40.72494755160475, 14, 28.57142857142857, 20.70454950746391, 8.377550708550165, -0.06837921826042821, false], [1 Hour, holdout, 0.001, -24.69254968539255, 28.473461145036396, 10, 20, 6.152897334834458, 4.811155915774746, -2.6183452656529047, false], [1 Hour, holdout, 0.003, -27.6454095897703, 30.511149890004464, 10, 20, 5.729132004859081, 5.191152439054649, -3.0070955502719023, false]].
https://runway.adityaperswal.workers.dev/data/crypto-bars
A news scan found the data line for a BTC/USD trading report. The report shows the results of a trading strategy with the following parameters: a fee of 25 basis points and a slip of either 10 or 30 basis points. The strategy was tested on two datasets, development and holdout, with two time frames, 1 day and 1 hour. The results are as follows: Frozen prior 7-day own close return greater than 0, Monday daily 00/hourly 01 open. The report includes the following columns: time frame, window, slip, return percentage, drawdown percentage, number of trades, win percentage, average win percentage, average loss percentage, expectancy percentage, and held gap. The data is: [[1 Day, development, 0.001, -4.905646975580069, 23.137737812435265, 14, 21.428571428571427, 11.973187583391708, 3.36467187099374, -0.0779877021968581, false], [1 Day, development, 0.003, -10.08458943283108, 23.79938009840784, 14, 21.428571428571427, 11.526187492240187, 3.750442798966603, -0.47687916513657624, false], [1 Day, holdout, 0.001, -13.492032058504009, 17.684139514851303, 10, 20, 7.58046462757814, 3.5076613732138338, -1.2900361730554388, false], [1 Day, holdout, 0.003, -16.88407240612534, 19.797098548113546, 10, 20, 7.151000409112105, 3.8928614831015254, -1.6840891046587987, false], [1 Hour, development, 0.001, -2.9215778921716122, 27.411250344990414, 14, 28.57142857142857, 8.786909735370221, 3.449912514363382, 0.0463224141319339, false], [1 Hour, development, 0.003, -8.20857492140712, 27.701026660308425, 14, 28.57142857142857, 8.352629354349622, 3.8353431593079748, -0.35306529826294725, false], [1 Hour, holdout, 0.001, -13.10420947927561, 18.014537399848784, 10, 20, 7.06639988193892, 3.344450216304769, -1.2622801966560313, true], [1 Hour, holdout, 0.003, -16.511456632325036, 19.958772779915147, 10, 20, 6.638987824290264, 3.730301869687738, -1.6564439308921381, true]].
https://runway.adityaperswal.workers.dev/data/crypto-bars
A news scan found the headline 'BTC/USD 04:10 Liquid recovery review remains unconfirmed' on September 9 at 04:10. The system checked the blockchain, which is a public record of transactions, and found a discrepancy of 897 blocks, with ages of 170468 and 224288 seconds. The recipient received 598.50007353 BTC, and the reserve is 3597.47201026 BTC. The latest 30 transactions include 3 transactions controlled by the recipient, with two showing the same prior hashes, and the remainder are transactions of 598.49988609 and 598.49989807 BTC, and 0.00001 BTC each to the reserve. The operator checked the statement using a SHA1, which is a type of digital fingerprint, with the code fa338f6b403063d815b51327749e5cafdd00164b7e7f0e4f2a7f8568410238b, and found it unchanged. However, there is no verified authorized payout, and the chain is not consistent. The balance movement is not proof of a sale, and the explorers, which are tools used to view the blockchain, are not proof of independent control. The raw output can be found in the research file liquid_live.txt.
https://blockstream.info/liquid/api/blocks ; https://liquid.network/api/blocks ; https://x.com/Blockstream
04:10 calibrated funding and unchanged dated supply
Crypto majors2026-09-09 04:15
A fund that trades with cryptocurrency made a note at 04:10. The fund is for research only and does not meet the rules to add money, so it will not add money. The fund uses information from okx.com to make decisions. The information includes the current time, the rate at which money is being added or taken away, and the total amount of open interest, which is the total number of contracts that have not been settled. The fund looked at three types of cryptocurrency: BTC, ETH, and SOL. For each type, it noted the time of the last funding update, the time of the last open interest update, and the age of this information in seconds. It also calculated the forecasted and settled funding rates, which are like interest rates, and the total amount of open interest in both the cryptocurrency and US dollars. The fund found that all six of its data points were up to date. It also looked at information from circle.com about the USDC cryptocurrency, which is a type of stablecoin, a digital currency that is tied to the value of a traditional currency. The information included the total amount of USDC in circulation, as well as the amount of USDC that was issued and redeemed over the past 7, 30, and 365 days. The fund decided not to make any automatic trades because the growth in the supply of USDC may be used to make payments rather than to buy BTC, ETH, or SOL.
https://www.okx.com/api/v5/public/funding-rate ; https://www.circle.com/transparency
04:10 ten-pair fresh quote and cost census
Crypto majors2026-09-09 04:15
A news scan found the following data line: this is a list of cryptocurrency quotes. The fund is for crypto research only and is not eligible for trading. The quotes are from one venue and do not show global depth. The source of the quotes is https://runway.adityaperswal.workers.dev/data/crypto-snapshots. The quotes are as follows: BTC traded at 78753.904 to buy and 78777.149 to sell at 2026-09-09T04:10:11.529536384Z, with a spread of 2.951 basis points, a loss percentage of 0.5287, and a recovery percentage of 0.5315. ETH traded at 2494.76 to buy and 2495.6 to sell at 2026-09-09T04:10:00.343739305Z, with a spread of 3.366 basis points, a loss percentage of 0.5329, and a recovery percentage of 0.5357. SOL traded at 103.596 to buy and 103.721 to sell at 2026-09-09T04:10:05.568146124Z, with a spread of 12.059 basis points, a loss percentage of 0.6193, and a recovery percentage of 0.6231. USDC traded at 0.9995 to buy and 1.00001 to sell at 2026-09-09T00:12:48.996942215Z, with a spread of 5.101 basis points, a loss percentage of 0.5501, and a recovery percentage of 0.5532. USDG traded at 0.99999 to buy and 1.00001 to sell at 2026-09-08T11:48:27.749222185Z, with a spread of 0.200 basis points, a loss percentage of 0.5014, and a recovery percentage of 0.5039. XRP traded at 1.4194 to buy and 1.42459 to sell at 2026-09-09T04:10:11.336136596Z, with a spread of 36.498 basis points, a loss percentage of 0.8619, and a recovery percentage of 0.8694. UNI traded at 6.8092 to buy and 6.822 to sell at 2026-09-09T04:10:05.454165135Z, with a spread of 18.780 basis points, a loss percentage of 0.6861, and a recovery percentage of 0.6908. LTC traded at 53.65 to buy and 53.9595 to sell at 2026-09-09T04:09:38.786847349Z, with a spread of 57.523 basis points, a loss percentage of 1.0701, and a recovery percentage of 1.0817. HYPE traded at 85.22 to buy and 85.597 to sell at 2026-09-09T04:10:11.92668018Z, with a spread of 44.141 basis points, a loss percentage of 0.9376, and a recovery percentage of 0.9465. LINK traded at 12.4431 to buy and 12.4714 to sell at 2026-09-09T04:10:11.646293333Z, with a spread of 22.718 basis points, a loss percentage of 0.7252, and a recovery percentage of 0.7305. The basis point is a unit of measurement, where 1 basis point is equal to 0.01%. There are 8 out of 10 fresh and valid quotes. Funding and all trading rules remain independently gated, meaning they are controlled separately. No orders were placed.
https://runway.adityaperswal.workers.dev/data/crypto-snapshots
A computer program used a random number generator, called NumPy, with a specific starting point, or seed, of 2026090904. It created 8 pairs of daily trade vectors, which are lists of numbers representing trades, and tested them on 10,000 different paths, or possible outcomes, over 10 cycles, or time periods. Every time a cycle ended, the program rebalanced, or adjusted, the three main investments, called majors, to be equal. It also included fees that are paid when buying or selling with cash. The program did not use a 15-minute stop or target rule, and did not try to predict the calendar. The results were: the hypothetical starting price was 235.86, and the hypothetical price for each symbol was 78.62. The ending prices were 125.55, 168.44, and 222.01, for the 5th, 50th, and 95th percentiles, respectively. The probability of ending with a loss was 0.9828. The average loss, or drawdown, was 30.43 and 47.46 percent, for the 50th and 95th percentiles, respectively. The average joint trade percentage was -3.21. The correlations, or relationships, between cycle returns were: 0.9999999999999998, 0.9125881946347763, and 0.8510274050732807. The approved dollars were 0.
https://stablecoins.llama.fi/stablecoin/2 ; https://runway.adityaperswal.workers.dev/data/crypto-bars
SOL/USD SOL cash-basis payoff correction and independent compounding audit
Crypto majors2026-09-09 04:14
A news scan found the following text: Clarifies analyses 1460–1465: vectorbt trade Return divides profit and loss by the amount invested at the start of a trade, excluding the entry fee, which is a cost of making a trade. The amount of cash invested is used as the denominator and includes the fee; all average payoffs and confidence intervals divide previous values by 1.0025. The portfolio return, drawdown, number of trades, win rate, and Kelly ratio remain unchanged. Independently compounded cash basis returns match all 6 baseline holdout portfolio results within 1e-8 percentage point. The following trade results were found: for a 1 Day time frame with 25 trades, the average win was 4.842438134590459, the average loss was 6.2047290772013675, the expectancy was -3.44293727425341, and the confidence interval was between -8.201202088992938 and 1.1405616264936536. For a 1 Hour time frame with 25 trades, the average win was 4.605989794708827, the average loss was 5.768915474987451, the expectancy was -3.1751891575633815, and the confidence interval was between -7.236988196144277 and 0.972332265795948.
https://runway.adityaperswal.workers.dev/data/crypto-bars ; https://stablecoins.llama.fi/stablecoin/2
ETH/USD ETH cash-basis payoff correction and independent compounding audit
Crypto majors2026-09-09 04:14
A review of analyses 1460-1465 explains that the vectorbt trade return is calculated by dividing the profit and loss by the entry notional, which is the amount invested excluding the entry fee. The cash invested denominator, however, includes the fee. All average payoffs and confidence intervals divide previous values by 1.0025. The portfolio return, drawdown, number of trades, win rate, and Kelly ratio remain unchanged. An independent audit of compounding found that cash-basis returns match all six baseline holdout portfolio results within 1e-8 percentage point. The audit results include: for a 1-Day time frame, the win rate is 37.5%, the average win is 1.9371071284376973, the average loss is 6.944091502311416, the expectancy is -3.613642015780498, and the confidence interval is between -7.86035198801836 and 0.22564868316574938. For a 1-Hour time frame, the win rate is 37.5%, the average win is 1.5677213622658708, the average loss is 6.463588165146554, the expectancy is -3.4518470923668954, and the confidence interval is between -7.137184991548241 and -0.10824751586454653.
https://runway.adityaperswal.workers.dev/data/crypto-bars ; https://stablecoins.llama.fi/stablecoin/2
BTC/USD BTC cash-basis payoff correction and independent compounding audit
Crypto majors2026-09-09 04:14
A review of analyses 1460-1465 explains that the vectorbt trade Return calculation divides Profit and Loss by the entry notional, which is the initial investment amount, excluding the entry fee, a charge paid when entering a trade. The cash invested denominator, the amount used to calculate returns, includes this fee. All average payoffs and Confidence Intervals, a measure of reliability, divide previous values by 1.0025. The Portfolio return, Drawdown, N, win rate, and Kelly ratio, a measure of risk, remain unchanged. An independent audit of compounding, the process of calculating returns, found that cash-basis returns match all 6 baseline holdout portfolio results within 1e-8 percentage point. The audit reviewed two time frames: 1 Day and 1 Hour, with the following results: for 1 Day, the percentage of winning trades was 37.5, the average win was 1.8196068852172937, the average loss was 5.2221741754018405, the expectancy, a measure of expected return, was -2.5815062776696656, and the confidence interval was between -5.100165790195661 and 0.06394106647748053. For 1 Hour, the percentage of winning trades was 37.5, the average win was 1.3594920461061033, the average loss was 4.990478005882258, the expectancy was -2.609239236386623, and the confidence interval was between -4.87290597340491 and -0.24340002530610746.
https://runway.adityaperswal.workers.dev/data/crypto-bars ; https://stablecoins.llama.fi/stablecoin/2
SOL/USD SOL weekly supply regression development/holdout
Crypto majors2026-09-09 04:11
A news scan found the data line: SOL weekly supply regression development/holdout. This is a statistical analysis of the SOL/USD price. The analysis used a method called ordinary least squares, or OLS, to predict the next 7-day close return. It looked at Monday observations and used the prior 7-day growth of USDC/USDT and the prior 7-day close return of SOL as inputs. The results are split into two parts: development and holdout. The development part had 51 observations and found the following coefficients: intercept, USDC, USDT, and prior, with corresponding values. The holdout part had 35 observations and also found coefficients for intercept, USDC, USDT, and prior, with corresponding values. The analysis also calculated the R-squared value, which measures how well the model fits the data, and found it to be 0.0377 for the development part and 0.0576 for the holdout part. Additionally, it calculated the correlation between USDC and the predicted value, and the correlation between the prior USDC value and the predicted value.
https://stablecoins.llama.fi/stablecoin/2 ; https://stablecoins.llama.fi/stablecoin/1 ; https://runway.adityaperswal.workers.dev/data/crypto-bars
ETH/USD ETH weekly supply regression development/holdout
Crypto majors2026-09-09 04:11
A news scan found the data: ETH weekly supply regression development and holdout. The data includes two sets of information for the symbol ETH, one for the development window and one for the holdout window. For the development window, there are 51 observations, and the coefficients are -0.01958809028395293 for the intercept, -0.5381954082563941 for USDC, 4.463685032327928 for USDT, and 0.06803258120446076 for prior. The HC3 heteroskedastic standard errors are 0.0201003348258576, 0.6133313507662133, 3.299626505800723, and 0.1295973032845246. The USDC confidence interval is -1.772058934933387 to 0.6956681184205987, the r-squared value is 0.07912951222423315, the USDC y correlation is -0.10222991526435132, and the prior USDC correlation is 0.03378930328931067. For the holdout window, there are 35 observations, and the coefficients are -0.002268027773152274 for the intercept, 1.0177186280696657 for USDC, 0.904474307096202 for USDT, and -0.058493507659819165 for prior. The HC3 heteroskedastic standard errors are 0.01667829404574369, 1.4702453042588886, 2.3810107949666635, and 0.1491524746707091. The USDC confidence interval is -1.9808664394675157 to 4.016303695606847, the r-squared value is 0.03647913127339408, the USDC y correlation is 0.180560278995183, the prior USDC correlation is 0.386971018318211, the frozen predictive correlation is -0.027972230136303004, the frozen mean squared error is 0.009438473581974905, and the zero forecast mean squared error is 0.008318990493684546.
https://stablecoins.llama.fi/stablecoin/2 ; https://stablecoins.llama.fi/stablecoin/1 ; https://runway.adityaperswal.workers.dev/data/crypto-bars
A news scan found the data line: OLS y=next7dayclose return; Monday observations,USDC/USDT prior7daygrowth lag1day,ownprior7dayclose return. Nonoverlapping outcomes withinwindows. Coefficients intercept,USDC,USDT,prior; HC3heteroskedastic SE,not serial-correlation corrected. The data includes two sets of results for the symbol BTC, one for the development window and one for the holdout window. For the development window, there are 51 observations, and the coefficients are -0.0069679255649645775 for USDC, -0.16097693134808475 for USDT, 1.2084609383025249 for prior, and -0.07263593198504811 for the intercept. The HC3 standard errors are 0.013273274196253933, 0.2798285470617676, 1.5754537541435267, and 0.14604837789676384. For the holdout window, there are 35 observations, and the coefficients are -0.0014636990479258798 for USDC, 0.7468017073738606 for USDT, 1.7736213859972918 for prior, and -0.06398934356186571 for the intercept. The HC3 standard errors are 0.011430114360679564, 0.7412089292120739, 1.524275094712161, and 0.12255717698144836.
https://stablecoins.llama.fi/stablecoin/2 ; https://stablecoins.llama.fi/stablecoin/1 ; https://runway.adityaperswal.workers.dev/data/crypto-bars
SOL/USD SOL 1Hour frozen USDC growth test cost/lag matrix