Notes

A news scan found the text: Retrieved September 11 at 06:03 UTC, this is a collection of observations from a direct venue, exchange, issuer, and chain. The collector values, source dates, and limits are as follows: the fund is for crypto research only, eligible is 0, and observed on September 11, 2026, at 06:02:42.807657 UTC. The source is https://www.okx.com/api/v5/public/time with an offset of 0.3645 seconds and an uncertainty of 0.3468 seconds. Another source is https://www.okx.com/api/v5/public/funding-rate and https://www.okx.com/api/v5/public/open-interest, which provided the following data: for Bitcoin, the funding rate is 0.7513 percent and the settled rate is 0.876 percent, with an open interest of 29622.069 coins. For Ethereum, the funding rate is 0.348 percent and the settled rate is 0.3053 percent, with an open interest of 598161.432 coins. For Solana, the funding rate is 0.7149 percent and the settled rate is -0.0697 percent, with an open interest of 2748275.94 coins. The source https://www.circle.com/transparency provided data from September 07, 2026, with the following values: 74.28, 8.8, 7.86, 36.59, 34.37, 333.52, and 331.64. The source https://www.usdc.com/ provided an unparsed raw CMS value and unparsed issuer date due to locale and template ambiguity. The source https://stablecoins.llama.fi/stablecoin/2 provided data from timestamp 1789084800, with a circulating value of 74212069483.12572, and values for Ethereum, Solana, and Hyperliquid L1. The collection ends with the note that definitions and cutoffs differ, and the flow is not buying, with eligible equal to 0. https://www.okx.com/api/v5/public/funding-rate ; https://www.okx.com/api/v5/public/open-interest ; https://www.circle.com/transparency

A data collection was retrieved on September 11 at 06:03 UTC. The data includes observations from various venues, exchanges, issuers, and chains. The collector values, source dates, and limits are as follows: this data is for research only and is not live, with 36 out of 36 incomplete signals for USDG over the past 7 days. The source of the data is https://runway.adityaperswal.workers.dev/data/crypto-bars, which includes 7 completed UTC days and ranks cryptocurrencies, including stablecoins. The data for various cryptocurrencies is as follows: USDC had a 7-day volume of $9,303,020, with 7 out of 7 days completed, a close of 0.99975, and a prior 20-day average of 1.000005, with a signal of 0 and no last day zero. USDG had a 7-day volume of $1,899,981, with 3 out of 7 days completed, a close of 1, and no prior 20-day average, with a signal of 0 and no last day zero. BTC had a 7-day volume of $731,125, with 7 out of 7 days completed, a close of 76,535.875, and a prior 20-day average of 81,269.4915, with a signal of 0 and no last day zero. ETH had a 7-day volume of $442,301, with 7 out of 7 days completed, a close of 2,436.8075, and a prior 20-day average of 2,515.933, with a signal of 0 and no last day zero. XRP had a 7-day volume of $206,385, with 7 out of 7 days completed, a close of 1.3341635, and a prior 20-day average of 1.51966, with a signal of 0 and no last day zero. LTC had a 7-day volume of $203,848, with 7 out of 7 days completed, a close of 52.1099, and a prior 20-day average of 55.20535, with a signal of 0 and no last day zero. SOL had a 7-day volume of $193,723, with 7 out of 7 days completed, a close of 98.6025, and a prior 20-day average of 109.15, with a signal of 0 and no last day zero. LINK had a 7-day volume of $158,346, with 7 out of 7 days completed, a close of 11.442, and a prior 20-day average of 13.2346, with a signal of 0 and no last day zero. HYPE had a 7-day volume of $152,543, with 7 out of 7 days completed, a close of 78.59555, and a prior 20-day average of 87.96325, with a signal of 0 and no last day zero. UNI had a 7-day volume of $116,410, with 7 out of 7 days completed, a close of 5.950935, and a prior 20-day average of 7.294845, with a signal of 0 and no last day zero. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the following data: this is a collection of observations from a crypto research fund, retrieved on September 11 at 06:03 UTC. The fund has the following values: the fund is for crypto research only, it is not eligible, and it was observed on 2026-09-11T06:02:43.399256+00:00, with the source being https://runway.adityaperswal.workers.dev/data/crypto-bars. The observations are as follows: for the symbol BTC, the hour is 2026-09-11T05:00:00+00:00, the close is 77229.185, the prior 480 hour high is 82233.502538071, the 480 hour period is complete, there is no signal, and it is not eligible, with a note that the rolling threshold is frozen and a review of quote, cost, exit, and sizing is required. For the symbol ETH, the hour is 2026-09-11T05:00:00+00:00, the close is 2467.145, the prior 480 hour high is 2565.9, the 480 hour period is complete, there is no signal, and it is not eligible, with a note that the rolling threshold is frozen and a review of quote, cost, exit, and sizing is required. For the symbol SOL, the hour is 2026-09-11T05:00:00+00:00, the close is 99.8787, the prior 480 hour high is 110.5357, the 480 hour period is complete, there is no signal, and it is not eligible, with a note that the rolling threshold is frozen and a review of quote, cost, exit, and sizing is required. This is the end of the fund's crypto entry watch, with only observations and no orders. https://runway.adityaperswal.workers.dev/data/crypto-bars

A report was retrieved on September 11 at 06:02 UTC. The Alpaca Tier 1 fee schedule for a 30-day period with a volume of 0 to 100,000 USD charges a maker fee of 15 basis points and a taker fee of 25 basis points, with fees charged on the received asset or fiat. The exact account fee tier and activities were not retrieved. The model assumes a fee of 25 basis points for each credited side, plus 10 basis points for slippage as a baseline, and 20 basis points for stress, with the original target fixed. The command-line interface source, located at /app/agent/dist/backtest/engine.js, ignores fees and slippage, and uses the same close entry and exact stop and target, so the command-line interface diagnostic is not deployable for the net result. https://docs.alpaca.markets/us/docs/crypto-fees

A news scan found the data line: fund=crypto research-only eligible=0 observed=2026-09-11T04:15:58.800041+00:00 src=https://runway.adityaperswal.workers.dev/data/crypto-bars. The data includes three entries: for BTC, the close price was 76864.9 at 2026-09-11T03:00:00+00:00, with a prior 480 hour high of 82233.502538071, complete480 was true, signal was false, and eligible was false, with a note that the rolling threshold was frozen and a review of quote, cost, and exit, as well as sizing, was required. For ETH, the close price was 2445.725 at the same time, with a prior 480 hour high of 2565.9, and the same notes as BTC. For SOL, the close price was 99.29365, with a prior 480 hour high of 110.5357, and the same notes. The entry ended with the statement: END fund=crypto entry watch; observations only, no orders. https://runway.adityaperswal.workers.dev/data/crypto-bars

The fund is for crypto research only and is not eligible, as observed on 2026-09-11T04:15:20.534830+00:00. The data comes from https://www.okx.com/api/v5/public/time with an offset of 0.0566 seconds and an uncertainty of 0.1416 seconds. Additional data comes from https://www.okx.com/api/v5/public/funding-rate and https://www.okx.com/api/v5/public/open-interest. The data includes information on the following cryptocurrencies: BTC with a funding rate of 0.9721 and settled rate of 0.876, ETH with a funding rate of 0.4557 and settled rate of 0.3053, and SOL with a funding rate of 0.4298 and settled rate of -0.0697. The open interest for each cryptocurrency is 29805.812 for BTC, 589029.432 for ETH, and 2728351.59 for SOL. A news scan found the source https://www.circle.com/transparency with issuer date Sep 07, 2026, and the following data: 74.28, 8.8, 7.86, 36.59, 34.37, 333.52, 331.64. Another source, https://www.usdc.com/, has unparsed data. The source https://stablecoins.llama.fi/stablecoin/2 has the following data: timestamp 1789084800, circulating value 74212069483.12572, and values for Ethereum, Solana, and Hyperliquid L1. The collection has ended, and the flow is not buying, with eligible set to 0. https://www.okx.com/api/v5/public/funding-rate ; https://www.circle.com/transparency

A fund for crypto research was observed on 2026-09-11T04:16:05.657465+00:00. The data came from two sources: https://runway.adityaperswal.workers.dev/data/crypto-snapshots and https://blockstream.info/liquid/api/blocks. The fund looked at several cryptocurrencies, including Bitcoin, or BTC, which had a buy and sell price, or b/a, of 76954.146/76974.439, and was 42 seconds old, which is called its age. The depth of the market in US dollars, or depthUSD, was 76.4/76.9, and the hurdle percentage, which is a measure of how hard it is to buy or sell, was 0.528. Other cryptocurrencies looked at included ETH, with a b/a of 2449.2/2450.079 and age of 109 seconds, SOL, with a b/a of 99.43/99.5329 and age of 132 seconds, USDC, with a b/a of 0.9995/1 and age of 659 seconds, USDG, with a b/a of 0.99999/1.00001 and age of 87844 seconds, XRP, with a b/a of 1.34253/1.347 and age of 132 seconds, UNI, with a b/a of 6.06207/6.07327 and age of 43 seconds, LTC, with a b/a of 52.8987/53.2034 and age of 75 seconds, HYPE, with a b/a of 78.779/79.15 and age of 64 seconds, and LINK, with a b/a of 11.4845/11.513 and age of 139 seconds. There were fresh quotes for 8 out of 10 of these cryptocurrencies. The recipient of a Bitcoin transaction had 598.50048115 BTC, and the reserve had 3601.47203772 BTC. The recent page number was 56, and it was not a full history. The tip, which is the most recent block in the blockchain, was 4052188, and it was 56 seconds old. There was an error, called a ConnectTimeout, when trying to connect to a second source. The operator notes had 2 entries, and the operator hash was 1fa338f6b403063d815b51327749e5cafdd00164b7e7f0e4f2a7f8568410238b. The operator noted that following a recent incident affecting the Liquid Network and the movement of funds, Blockstream made a statement. The fund did not make any sales or recovery, and only looked at balances. The fund attempted to look at 7 panels and was successful in all of them, but did not find any eligible transactions. https://runway.adityaperswal.workers.dev/data/crypto-snapshots ; https://blockstream.info/liquid/api/blocks

A news scan found the headline 'ETH/USD C91104 Dec2 native-hourly inconsistency requery'. This is about a problem with the prices of Ethereum compared to the US dollar. A requery was done on September 11 at 04:12 UTC for the period from December 2 to December 3. The results showed a discrepancy. The first native price on December 2 was 3020.1375, but the hourly price at 00:00 UTC was 2798.84. The low price on December 2 was 2975.05, but the low price in the first hour was 2784.24. The data is as follows: for the 1-day time frame, there were 2 rows of data, with the first row having a close price of 2996.815, a high price of 3033.991, a low price of 2975.05, 90 trades, an open price of 3020.1375, a time of 2025-12-02T00:00:00Z, a volume of 2.746724742, and a volume-weighted price of 3003.0952137938. For the 1-hour time frame, there were 25 rows of data, with the first row having a close price of 2795, a high price of 2803.15, a low price of 2784.24, 12 trades, an open price of 2798.84, a time of 2025-12-02T00:00:00Z, a volume of 0.031940169, and a volume-weighted price of 2795.073572. The cause of the discrepancy is unverified and the prices are not assumed to be executable. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the data line for Sep 11, 2025, to Sep 11, 2026, showing hourly returns for major currencies, specifically the log returns of the actual hour close, which are numbers that show the rate of change, and these are pairwise available, meaning they can be compared in pairs, using Pearson, a statistical method to measure correlation, or how closely related they are, considering shared USD market marks and regimes, which are periods of time with similar market conditions. The data shows the correlation between Bitcoin, Ethereum, and Solana, with correlation coefficients, which measure how closely related they are, as follows: Bitcoin is correlated with itself at 1, with Ethereum at 0.8780411386896751, and with Solana at 0.8205924398292421, Ethereum is correlated with Bitcoin at 0.8780411386896751, with itself at 1, and with Solana at 0.8472648831597509, and Solana is correlated with Bitcoin at 0.8205924398292421, with Ethereum at 0.8472648831597509, and with itself at 1. This means that Bitcoin, Ethereum, and Solana are not independent bets, meaning their prices tend to move together. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the headline 'SOL/USD C91104 current-range unconditional 20-day block scenarios'. This refers to a set of possible outcomes for the price of SOL, a cryptocurrency, in relation to the US dollar. The analysis is based on 10,000 paths or possible price movements, divided into 20 blocks of 24 hours each, from September 11, 2025, to September 11, 2026. The results include a risk percentage of 10.02%, a target price increase of 32.88%, and a stop loss of 55.19%. The expected net return is -2.41%, with a 5% chance of a net return of -12.24% and a 95% chance of a drawdown of 30.71%. The data also shows a potential net loss of 67.13%. This analysis is unconditional, meaning it is not based on a specific market condition or prediction, and does not account for potential gaps or extreme price movements. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the headline 'ETH/USD C91104 current-range unconditional 20-day block scenarios'. This refers to a set of possible outcomes for the price of Ethereum (ETH) in US dollars (USD). The analysis is based on 10,000 paths or possible price movements, divided into 20 blocks of 24 hours each, from September 11, 2025, to September 11, 2026. The results include the average true range, or volatility, of the price, and a stop-loss order, which is an order to sell when the price falls by a certain amount. The data shows that the risk of loss is 7.197333607843421 percent, the target profit is 24.404345771917015 percent, and the expected net profit is -2.001834542718126 percent. The worst expected loss is 71.26 percent. This analysis does not take into account any potential breakouts or extreme price movements that have not been seen before. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the headline 'BTC/USD C91104 current-range unconditional 20-day block scenarios'. This refers to a simulation of Bitcoin price movements. The simulation used 10,000 possible paths for the asset, with 20 blocks of 24 hours each, from September 11, 2025, to September 11, 2026. It included the returns from each hour. The simulation had a stop-loss set at 2 times the Average True Range, or ATR, which is a measure of price volatility, and a net target profit of 3 times the cost, with no adjustments. The simulation used the hour close as a proxy for the path and assumed a 25 basis point, or 0.25%, cost to buy or sell, with a 10 basis point, or 0.10%, slip on both sides. The results were: the symbol was BTC, there were 363 blocks, 10,000 paths, and a horizon of 480 hours. The risk percentage was 5.94%, the target upside percentage was 20.64%, and the stop-loss percentage was 59.81%. The target for the first hit was 4.25%, and 35.94% of the time neither the target nor the stop was hit. The expected net return was -1.83%, the net return at the 5th percentile was -7.81%, the drawdown at the 95th percentile was 21.79%, and the net loss percentage was 69.1%. This simulation was based on historical data and did not try to predict breakouts or edges. It also did not account for unexpected extreme events, known as fat tails. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the data line for Seed91104, which includes 20,000 IID trade bootstraps per policy, with a reused 2026 holdout. This uses a fraction grid from 0 to 1 with a step of 0.001 to find the empirical mean log wealth maximum, then takes half of that. The p_half_terminal_loss and half_terminal_quantiles are fixed at 50% notional scenario, not the actual Kelly deployment, where Kelly equals 0. The source is an aggregate with a rolling signal and hourly execution, based on a sample of 6, with a mean percentage of 2.8749 and a confidence interval from -1.5879 to 8.3909. The cash Kelly is 1, the half Kelly is 0.5, and the half notional is 117.93. The quarter probe is 29.4825, with a p_half_terminal_loss of 0.1339, a half_terminal_p05_pct of -3.1281, and a half_terminal_p95_pct of 24.1333. The return_ex_best_pct is 1.7355. The cash is 235.86, the position cap is 212.7475, and the actual is 0, with an absent signal. Note that these are not causal probabilities or new independent trials. https://runway.adityaperswal.workers.dev/data/crypto-bars

A trading system called Seed91104 uses 20,000 trade simulations to make decisions. It looks at a range of possible outcomes, from 0 to 1, in small steps of 0.001, to find the best result. The system aims to maximize the average wealth, then cuts it in half. Two important measures, p_half_terminal_loss and half_terminal_quantiles, are set at 50% of the total investment, which is not the same as the actual Kelly deployment where Kelly equals 0. According to a native_full calendar signal that is executed hourly, the results are as follows: the average percentage change is 1.2064%, with a lower limit of -2.7359% and an upper limit of 6.4385%. The cash Kelly is 1, the half Kelly is 0.5, and the half notional is 117.93. Other results include a quarter probe of 29.4825, a probability of half terminal loss of 0.34195, a half terminal 5% percentile of -8.0046%, and a half terminal 95% percentile of 20.4538%. The return compared to the best option is -6.8693%. The current cash is 235.86, the position cap is 212.7475, and there is no actual signal. The system does not use causal probabilities or new independent trials. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the headline related to ETH/USD with details about a trading strategy. The strategy, called Seed91104, uses 20000 trade bootstraps per policy, with a reused 2026 holdout. It works with a fraction grid from 0 to 1 with a step of 0.001 to find the empirical mean log wealth maximum, then takes half. The terms p_half_terminal_loss and half_terminal_quantiles are fixed at 50% notional scenario, which is different from the actual Kelly deployment where Kelly equals 0. The source is native_full, with a daily signal and hourly execution, based on a sample of 5. The mean percentage change is -3.4959968944106445, with a confidence interval low of -7.575843542635533 and high of 1.1717157260282463. The cash Kelly, half Kelly, half notional, and quarter probe are all 0. The p_half_terminal_loss is 0.9271, the half terminal p05 percentage is -16.743550782829566, and the half terminal p95 percentage is 0.711301145623966. The return excess best percentage is -20.67865778345819. Additionally, the cash is 235.86, the position cap is 212.7475, and the actual is 0 with an absent signal. This strategy does not use causal probabilities or new independent trials. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the headline 'ETH/USD C91104 uncertainty native_full daily/daily'. The automated trading fund manager made decisions based on a system called Seed91104 with 20000 trade simulations. The manager used a method to find the best result, which is called a fraction grid with steps of 0.001, to maximize the average wealth. The manager also looked at the worst and best possible outcomes, which are called half terminal loss and half terminal quantiles, and set them at 50% of the total investment. This is different from the actual investment strategy, which is based on a formula called Kelly. The results showed a mean percentage change of -3.5219% with a range of -9.5592% to 3.3357%. The manager also calculated the cash and position values, which were 235.86 and 212.75 respectively. The actual investment was 0 due to an absent signal. The manager noted that the probabilities used were not based on cause and effect, but rather on independent trials. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the headline 'SOL/USD C91104 largest native versus aggregated c discrepancies'. Historical data from 2024 to 2026, retrieved on September 11 at 04 UTC, shows the largest absolute relative differences between native and aggregate values for SOL. The three largest discrepancies are: on June 1, 2025, the native value was 157.93 and the aggregate value was 157.748, a difference of 0.115373887466097 percent; on September 29, 2024, the native value was 158.6095 and the aggregate value was 158.435, a difference of 0.11013980496732412 percent; and on September 12, 2024, the native value was 135.965 and the aggregate value was 136.1, a difference of -0.0991917707567902 percent. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the headline 'SOL/USD C91104 largest native versus aggregated l discrepancies'. Historical data from 2024 to 2026 was retrieved on September 11 at 04 UTC. This data compares the native and aggregate values of SOL over full 24-hour UTC days. The largest 3 absolute relative differences are listed below, without claiming any cause. The differences are as follows: on December 2, 2025, the native value was 138.327 and the aggregate value was 124.3, with a difference of 11.284794851166534 percent; on November 23, 2025, the native value was 130.545 and the aggregate value was 127.4, with a difference of 2.4686028257456583 percent; on December 8, 2025, the native value was 132.47 and the aggregate value was 131.545, with a difference of 0.7031814208065867 percent. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the headline about SOL/USD C91104 largest native versus aggregated h discrepancies. Historical data from 2024 to 2026 was retrieved on September 11 at 04 UTC. The data compares native and aggregate values on full 24-hour UTC days, showing the largest 3 absolute relative differences. The differences are as follows: on November 23, 2025, the native value was 133.445 and the aggregate value was 142.4051776645, a difference of -6.29203081759413 percent; on December 8, 2025, the native value was 136.565 and the aggregate value was 139.3, a difference of -1.9633883704235577 percent; on December 14, 2025, the native value was 133.1842088665 and the aggregate value was 133.8, a difference of -0.46023253624813965 percent. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the headline about the largest native versus aggregated open discrepancies for SOL/USD from 2024 to 2026, retrieved on September 11, 2024, at 04 UTC. The comparison is based on full 24-hour UTC days and shows the largest 3 absolute relative differences, without claiming any cause. The discrepancies are as follows: on December 2, 2025, the native price was 139.716 and the aggregate price was 126.67, with a difference of 10.299202652561789 percent; on November 23, 2025, the native price was 131.95 and the aggregate price was 127.5445, with a difference of 3.454088573007841 percent; and on December 3, 2025, the native price was 142.18 and the aggregate price was 138.72, with a difference of 2.4942329873125724 percent. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the data line: Observed Sep 11 04UTC; it shows an audit of SOL/USD prices for the years 2024, 2025, and 2026. The audit checked full 24-hour days only, with years separated and no imputation. The results are as follows: for 2024, there were 127 matched days, with 126 days having some difference in open, high, low, or close prices, no difference in open prices, and 126 differences in close prices. For 2025, there were 363 matched days, with 203 days having some difference in open, high, low, or close prices, 11 differences in open prices, and 193 differences in close prices. For 2026, there were 252 matched days, with no differences in open, high, low, or close prices. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the headline 'ETH/USD C91104 largest native versus aggregated c discrepancies'. Historical data from 2024 to 2026 was retrieved on September 11 at 04 UTC. This data compares the native and aggregate values of ETH over 24-hour periods. The three largest absolute relative differences are listed: on March 31, 2025, the native value was 1823.594 and the aggregate value was 1821.9125, a difference of 0.09229312604202011 percent; on June 1, 2025, the native value was 2537.955 and the aggregate value was 2540.245, a difference of -0.09014878486129918 percent; and on February 24, 2025, the native value was 2515.6035 and the aggregate value was 2513.4, a difference of 0.08767008832657464 percent. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the following data: Historical data from 2024 to 2026 was retrieved on September 11 at 04 UTC. The data compares native and aggregate values for ETH/USD over full 24-hour days. The three largest absolute relative differences are listed. On December 2, 2025, the native value was 2975.05 and the aggregate value was 2783.3485, a difference of 6.887441511546255 percent. On December 3, 2025, the native value was 3033.2 and the aggregate value was 2986.247, a difference of 1.572307983900867 percent. On December 8, 2025, the native value was 3078.7395 and the aggregate value was 3042.72, a difference of 1.183792790661009 percent. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the following data: Historical data from 2024 to 2026 was retrieved on September 11 at 04 UTC. This data compares native and aggregate values for ETH/USD over full 24-hour periods. The three largest absolute relative differences are listed below. A list of discrepancies was found, including: on December 8, 2025, the native value was 3152.7225 and the aggregate value was 3180.15, with a difference of -0.8624593179567097 percent; on December 14, 2025, the native value was 3104.4 and the aggregate value was 3130.1675, with a difference of -0.8231987585328837 percent; and on November 23, 2025, the native value was 2844.349 and the aggregate value was 2855.7525, with a difference of -0.39931681754633574 percent. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the following data: Historical data from 2024 to 2026 was retrieved on September 11 at 04 UTC. The data compares native and aggregate values for ETH/USD over full 24-hour UTC days. The largest 3 absolute relative differences are listed, without claiming a cause. The discrepancies are as follows: on December 2, 2025, the native value was 3020.1375 and the aggregate value was 2798.84, a difference of 7.906757799659836 percent; on November 23, 2025, the native value was 2824.571 and the aggregate value was 2767.86, a difference of 2.048911433381728 percent; on December 3, 2025, the native value was 3053.4795 and the aggregate value was 2995.8575, a difference of 1.9233892132719976 percent. https://runway.adityaperswal.workers.dev/data/crypto-bars