Notes

The ETHA share change was -1,000,000, which is a percentage change of -0.213584%. The ETHA redemption proxy was -19.18 million USD. As of September 10, the issuer ETHA had 468.2 million shares and a net asset value (NAV) of 18.59. By September 11, the shares decreased to 467.2 million and the NAV increased to 19.18, a 3.17% increase in NAV and a 3.233% increase in the secondary investment program (SIP) price. The change in end of day NAV times change was -19.18 million USD redemption proxy, which is not verified due to net cash flow and trade timing. The issuer's assets under management (AUM) rose, but this alone would misclassify the valuation as creation. On September 11, the closing NAV was 19.16, which reconciles with the SIP. After the close on October 5, there was a reverse split, and on October 6, the adjusted trading was still confirmed, but the ratio is unverified. The USDC circulation was 74.06 billion on September 10. In the last 7 days, 6.66 billion USDC was issued and 6.91 billion was redeemed, resulting in a net change of -0.25 billion, which is a daily change of -35.714 million. In the last 30 days, 38.06 billion USDC was issued and 36.04 billion was redeemed, resulting in a net change of 2.02 billion, which is a daily change of 67.333 million. The opposite signs reflect the different time windows. A different method and cutoff on September 13 reported a total of 74.418078 billion USDC, but this does not prove an error by Circle. The USDC website has unparsed data and does not claim any cash flow. The premises are that claims are dated and defined, but none establish incremental ETH buying or fresh policy entry. In conclusion, this is for context only and does not include a funded order. Sources include https://www.ishares.com/us/products/337614/ishares-ethereum-trust-etf, https://www.circle.com/transparency, https://stablecoins.llama.fi/stablecoin/2, and https://runway.adityaperswal.workers.dev/data/stock-bars. https://www.ishares.com/us/products/337614/ishares-ethereum-trust-etf ; https://www.circle.com/transparency ; https://stablecoins.llama.fi/stablecoin/2 ; https://runway.adityaperswal.workers.dev/data/stock-bars

A news scan found the headline about CAN's primary figures for analysis. The company's revenue is 31.9 million, with 17.7 million coming from mining revenue, and the mining cost is 20.4 million, including 6.3 million in depreciation, which is a decrease in value of assets over time. This results in a mining contribution of 3.6 million before depreciation, but this is not the company's consolidated free cash flow, which is the amount of cash available after expenses. The company's operating loss is 69.5 million. The company holds 1915.5 Bitcoins, including 1117 pledged Bitcoins, which are Bitcoins used as collateral for a loan, and 100 fixed-term Bitcoins, which are Bitcoins that cannot be sold for a certain period of time. The headline coin balance is not fully unencumbered spot, meaning it is not fully available for use. On September 8, the company repurchased 7.4 million USD or 16.4 million ADS, which are American Depositary Shares, representing ownership in a foreign company. On August 4, the company authorized the monetization of digital assets, but the sell quantity has not been verified. The CAN20 return is 57.29%, yet the price is 33.66, which is lower than the high of 45.55. HUT8, another company, issued a report on August 4, stating that it has contracted 949 megawatts of IT, with an expected base-term value of 26.6 billion and expected annual net operating income of more than 1.75 billion, with 7.5 billion in financing, but these are future economics, not current Bitcoin margin. The HUT8 price is 98.6, which is lower than the high of 101.83, and the HUT.TO price has a 60-day return of -19.62%. One argument against this is that cheaper power and new leases could create upside, but this requires paid net cash, debt draw, and asset-specific rules. There is no order or separate book proposal without a measured net edge. The sources for this information are https://www.sec.gov/Archives/edgar/data/1780652/000110465926105660/tm2624951d1_ex99-1.htm, https://investor.canaan-creative.com/news-releases/news-release-details/canaan-inc-repurchase-shares-using-portion-digital-asset, and https://www.hut8.com/news-insights/press-releases/hut-8-reports-second-quarter-2026-results. On September 11, a direct retrieval of 6K data from CAN failed, resulting in a current gap, but there is no absence inference. https://www.sec.gov/Archives/edgar/data/1780652/000110465926105660/tm2624951d1_ex99-1.htm ; https://investor.canaan-creative.com/news-releases/news-release-details/canaan-inc-repurchase-shares-using-portion-digital-asset ; https://www.hut8.com/news-insights/press-releases/hut-8-reports-second-quarter-2026-results

A news scan found the headline about CAN C91302 primary figures for analysis 3096. The company's financial data includes the following numbers: operating cash flow, or OCF, is -51.924 million USD, capital expenditures, or capex, is 5.552 million USD, and free cash flow, or FCF, is -57.476 million USD. The company also reported crypto disposal proceeds of 20.749 million USD and crypto purchases of 0.027 million USD. The company's cash is 66.006 million USD. The monthly free cash flow burn is 9.5793 million USD, which gives the company a cash-only sensitivity of 6.89 months. The depreciation reduction is 7.437 million USD. This data was found in the company's latest 6K filing, which was released on September 11. The filing says that the latest interim numbers supersede earlier discrepancies. The company's historical burn gives a cash-only sensitivity, not a forecast of how long the company can operate. The company's depreciable mining life has been extended to 1.5 to 2 years, which reduces depreciation and net loss. This is an accounting improvement, not a cash gain. The company's premise is that the mining contribution can be positive while the consolidated cash burns. The company does not have a new trade signal and does not have an asset-specific edge. The sources for this data are https://www.sec.gov/Archives/edgar/data/1780652/000110465926107048/tm2625192d1_6k.htm and https://www.sec.gov/Archives/edgar/data/1780652/000110465926107048/tm2625192d1_ex99-1.htm. https://www.sec.gov/Archives/edgar/data/1780652/000110465926107048/tm2625192d1_6k.htm ; https://www.sec.gov/Archives/edgar/data/1780652/000110465926107048/tm2625192d1_ex99-1.htm

A news scan found the following data: a training dataset for the symbol LINK, with a hourly time frame, showed a mean of 1.567276722129476. The 95 percent confidence interval, or CI95, was between -7.763706788191853 and 13.832025895494274. The half Kelly criterion, a measure used to determine the optimal bet size, was 0.3679488138862246. This data was based on a 20,000 iteration bootstrap simulation with a seed of 91302. The results noted that the small sample size may not fully capture tail events or different market regimes. The fractional return using the half Kelly criterion was calculated as 0.5 times the probability of a win divided by the average loss, minus 0.5 times the probability of a loss divided by the average win. The actual position size was 0, and a probe ceiling of 29.785 was noted, but this is not a recommendation. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the following data line for the LINK/USD daily training: the symbol is LINK, the time frame is daily, the number of observations is 11, the mean is -2.6347484142102, and the 95 percent confidence interval is between -12.938220161040814 and 11.361958345070285. The half Kelly value is -0.47756217770443765. This is based on a 20,000 iteration closed-trade bootstrap with seed 91302. The results note that the small sample size may not fully capture tails and regimes. The fractional return half Kelly formula is half the difference between the probability of a win divided by the average loss and the probability of a loss divided by the average win. The actual size is 0 and the probe ceiling is 29.785, which is not a recommendation. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the following data line for XRP/USD: the symbol is XRP, the time frame is hourly, and the number of observations is 10. The mean is 20.465485976561087. The 95% confidence interval, or CI95, is between -10.162541316537702 and 72.76367332374869. The half Kelly criterion, a measure used to determine the optimal bet size, is 1.3526615072424921. This data is from a 20,000 iteration bootstrap simulation with a seed of 91302. The results note that the small sample size may not fully capture tail events or different market regimes. The fractional return using the half Kelly criterion is calculated as 0.5 times the probability of a win divided by the average loss, minus 0.5 times the probability of a loss divided by the average win. The actual size is 0, and the probe ceiling is 29.785, which is not a recommendation. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the following data line for XRP/USD: the symbol is XRP, the time frame is daily, and the number of observations is 6. The mean is 50.775608409984166. A confidence interval, which is a range of values that a population parameter is likely to lie within, is between -15.431873408536694 and 167.13708540047693. The half Kelly criterion, a formula used to determine the optimal bet size, is 1.0662066340421492. This data is based on a 20,000 iteration bootstrap simulation with a seed of 91302. The results indicate that the small sample size may not fully capture the tails, or extreme values, and regimes, or periods of distinct market behavior. The fractional return half Kelly formula is 0.5 times the probability of a win divided by the average loss, minus 0.5 times the probability of a loss divided by the average win. The actual size is 0, and the probe ceiling is 29.785, which is not a recommendation. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the following data line: {"symbol": "LTC", "tf": "hourly", "n": 10, "mean": 3.3066630716596483, "CI95": [-6.482091479323172, 14.266119289933883], "halfKelly": 0.7996716935002337} which is a set of numbers about the cryptocurrency symbol LTC, with a time frame of hourly, a mean of 3.3066630716596483, and a confidence interval of -6.482091479323172 to 14.266119289933883. This data is from a 20,000 iteration bootstrap with a seed of 91302. The half Kelly value is 0.7996716935002337. The note mentions that the small sample size may not fully capture tails or regimes, and that the fractional return half Kelly is calculated as 0.5 times the probability of a win divided by the average loss, minus 0.5 times the probability of a loss divided by the average win. The actual size is 0, and the probe ceiling is 29.785, which is not a recommendation. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the following data line: {"symbol": "LTC", "tf": "daily", "n": 9, "mean": -1.2195272006525475, "CI95": [-12.194391369597025, 11.009355706136793], "halfKelly": -0.23857374767192518} which is a set of numbers about the Litecoin symbol, with a daily time frame, and a mean of -1.2195272006525475. This data is from a 20,000 iteration bootstrap with a seed of 91302. The results indicate a small sample size, which may not fully capture tail events or different market regimes. The half Kelly fraction is calculated as half of the probability of a win divided by the average loss, minus half of one minus the probability of a win, divided by the average win. The actual size is zero, and a probe ceiling of 29.785 was found, but this is not a recommendation. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the following data: the symbol is SOL, and the time frame is hourly. The mean is 1.5625196946122686, and the 95% confidence interval, or CI95, is between -4.875987958959943 and 7.987969363031539. The half Kelly, a measure used to determine the optimal bet size, is 1.2124843963360723. This data is based on a 20,000 iteration bootstrap simulation with a seed of 91302. The simulation has some limitations, including a small sample size and not fully capturing tail events and different market regimes. The fractional return half Kelly formula is 0.5 times the probability of a win divided by the average loss, minus 0.5 times the probability of a loss divided by the average win. The actual size is 0, and the probe ceiling is 29.785, which is not a recommendation. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the following data: the symbol is SOL, the time frame is daily, and the number of data points is 7. The mean is -1.0525404832101413, and the 95% confidence interval, or CI95, is between -8.357238257861756 and 5.529317420055285. The half Kelly, a measure of optimal bet size, is -0.9381204351331451. This data is based on a 20,000 iteration bootstrap simulation with a seed of 91302. The results note that the small sample size may not fully capture tail events or different market regimes. The fractional return half Kelly formula is 0.5 times the probability of a win divided by the average loss, minus 0.5 times the probability of a loss divided by the average win. The actual size is 0, and the probe ceiling is 29.785, which is not a recommendation. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the following data: a training session for ETH/USD on an hourly basis, known as a hourly timeframe, used 14 data points. The average return was 2.73742254464166. A confidence interval, which is a range of values, was calculated to be between -6.610061694044508 and 13.042991153355054, and this is called the 95% confidence interval. The half Kelly criterion, a formula to determine the optimal bet size, was 0.5265468856360258. This data is based on a bootstrap simulation, which is a method of estimating properties of a dataset, with a seed of 91302, and 20,000 independent and identically distributed, or IID, closed trades. The results note that the small sample size may not fully capture the tails, or extreme values, and regimes, or periods of distinct market behavior. The fractional return half Kelly formula is 0.5 times the probability of a win divided by the average loss, minus 0.5 times the probability of a loss divided by the average win. The actual size is 0, and a probe ceiling of 29.785 was noted, but this is not a recommendation. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the following data: the symbol is ETH, the time frame is daily, and the number of observations is 12. The mean is -1.2362863952910512, and the 95% confidence interval, or CI95, is between -9.498155958313149 and 7.42919913665043. The half Kelly, a measure used to calculate bet size, is -0.3382868966029122. This data is from a 20,000 iteration independent and identically distributed closed-trade bootstrap with a seed of 91302. The report notes that the small sample size may not fully capture tails or regimes. The fractional return half Kelly formula is half the difference between the probability of a win and the average loss, and the probability of a loss and the average win. The actual size is 0, and the probe ceiling is 29.785, which is not a recommendation. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the following data: the symbol is BTC, the time frame is hourly, and the number of observations is 13. The mean is 3.4366180942589626, and the 95% confidence interval is between -5.382221149437664 and 14.20271623460554. The half Kelly criterion is 1.0402252634722973. This is based on a 20,000 iteration independent and identically distributed closed-trade bootstrap with seed 91302. Note that the small sample size may not fully capture tail events or different market regimes. The fractional return half Kelly formula is half the difference between the probability of a win and the average loss, and the probability of a loss and the average win, which equals 0.5 times the probability of a win divided by the average loss, minus 1 minus the probability of a win, divided by the average win. The actual size is 0, and the probe ceiling is 29.785, which is not a recommendation. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the following data: the symbol is BTC, the time frame is daily, and the number of observations is 10. The mean is 4.482891455542349. The 95% confidence interval, or CI95, is between -6.63828074902951 and 17.512419442925484. The half Kelly criterion, a measure used to determine the optimal bet size, is 1.024734134520722. This data is based on a 20,000 iteration independent and identically distributed closed-trade bootstrap with a seed of 91302. The analysis notes that the small sample size may not fully capture tail events or different market regimes. The fractional return half Kelly formula is 0.5 times the probability of a win divided by the average loss, minus 0.5 times the probability of a loss divided by the average win. The actual size is 0, and the probe ceiling is 29.785, which is not a recommendation. https://runway.adityaperswal.workers.dev/data/crypto-bars

A news scan found the headline 'SOL/USD C91302 funding SOL'. The given data is about a simulation, which is a computer model used to predict how something will behave. The data includes the following information: the latest settlement was on a specific date, represented as '1789257600000', and the latest basis point, or a unit of measurement for interest rates and percentages, was 0.276108461242. The prior number, or the number of times something happened before, was 99. The strict percentile, which is a way to measure how something ranks compared to others, was 55.55555555555556, and the inclusive percentile was also 55.55555555555556. The simulation was run for 2026 completed hours or days with no missing data filled in. It used a simulation with a numpy seed of 91302, and it included 10,000 contiguous 2-hour blocks on weekends with no orders, fees, or stops. The levels were set based on the September 12 close plus 10 basis points, but this was not an executable quote. The net assumed a 3R, or a return on investment, at a gross of 2R, and the residual target was 25 basis points for fees and 10 basis points for sells. The maximum favorable excursion, or the best possible outcome, was overlapping and unconditional, and it did not win the probability. https://www.okx.com/api/v5/public/funding-rate-history

A news scan found the following data line: {"latest_settlement": "1789257600000", "latest_bp": 1.0, "prior_n": 99, "strict_percentile": 76.76767676767676, "inclusive_percentile": 100.0}. This data line appears to be related to ETH/USD funding, with a simulation using a numpy seed of 91302, and assumptions about fees and targets. https://www.okx.com/api/v5/public/funding-rate-history

A news scan found the following data: the latest settlement was on a specific date represented by the number 1789257600000, the latest basis point, or bp, was 0.4970346915, the prior number, or n, was 99, the strict percentile was 35.35353535353536, and the inclusive percentile was also 35.3535353533536. This data is related to a simulation of a trading strategy for BTC/USD, which was run for 2026 completed hours or days with no filling of missing data. The simulation used a numpy seed of 91302, and it included 10,000 contiguous 2-hour blocks on weekends with no orders, fees, or stops. The levels were set based on the September 12 close plus 10 basis points, but this was not an executable quote. The net result assumes a quarterly return at a gross rate of 2R and a residual target of 25 basis points for fees and 10 basis points for sells. The maximum favorable excursion, or MFE, was overlapping and unconditional, and it did not win with a certain probability. https://www.okx.com/api/v5/public/funding-rate-history

A trading simulation for LINK/USD has the following parameters: the entry proxy is 11.52486335, the stop proxy is 10.21438872085, the net 3R target is 16.26343440332013, the net target gain percentage is 41.11607148313936, and the net stop loss percentage is 11.90162583092077. The quarter loss in USD is 3.5448992537397515. The simulation also includes the MFE2026 N value of 214, MFE2026 P90 percentage of 29.486435025077135, and MFE2026 net target coverage percentage of 7.009345794392523. Other values are ATR20 of 0.6552373145750001, close of 11.51335, risk 2ATR percentage of 11.382218287032012, three R gross gain percentage of 34.14665486109604, MFE20 N of 881, MFE20 P90 percentage of 39.52087948434744, and MFE20 target coverage percentage of 13.734392735527809. This simulation was completed over 2026 hours or days with no filling of missing data, using a numpy seed of 91302, and 10,000 contiguous 2-hour weekend blocks with no orders, fees, or stops. The levels are based on the September 12 close proxy plus 10 basis points, which is not an executable quote. The net 3R assumes a quarter at gross 2R and residual target with 25 basis points fees and 10 basis points sells. The MFE is overlapping and unconditional, and does not account for win probability. https://runway.adityaperswal.workers.dev/data/crypto-bars

A simulation found the following levels for HYPE/USD: the entry proxy is 79.764685, the stop proxy is 69.3718221787, the net 3R target is 116.97059716716262, the net target gain percentage is 46.64459236209937, and the net stop loss percentage is 13.550249405418658. The quarter loss in USD is 4.035941785403947. The simulation used a numpy seed of 91302, and ran for 10,000 contiguous 2-hour blocks over weekends, with no order fees or stops, and no filling of missing data. The average true range over 20 periods, or ATR20, is 5.1964314106500025, and the close is 79.685. The risk as a percentage of 2 times the average true range is 13.042433106983756. The three R gross gain percentage is 39.12729932095126. The most frequently encountered price, or MFE, over 20 periods is 166, with a 90th percentile of 70.86488265397959, and a target coverage percentage of 28.915662650602407. The MFE over 2026 periods is also 166, with a 90th percentile of 70.86488265397959, and a net target coverage percentage of 25.301204819277107. A news scan found that the levels were based on the September 12 close proxy plus 10 basis points, which was not executable, and assumed a quarter at a gross 2R, with residual target fees of 25 basis points and 10 basis points for sells, and an overlapping unconditional not win probability. https://runway.adityaperswal.workers.dev/data/crypto-bars

A simulation found the following levels for XRP/USD: the entry proxy is 1.3676813149999998, the stop proxy is 1.2194496377999997, and the net 3R target is 1.9057338801754016. The net target gain percentage is 39.34049250174936 and the net stop loss percentage is 11.372142189420432. The quarter loss in USD is 3.3871925511188756. The simulation used 214 data points from 2026, with 28.075019277419 percent of them in the top 90 percent. The average true range over 20 periods, or ATR20, is 0.07411583860000001. The close price is 1.366315. The risk percentage based on two times the average true range, or risk 2ATR percentage, is 10.849011918920603. The three R gross gain percentage is 32.54703575676181. The simulation used 817 data points from the last 20 periods, with 43.869568764848886 percent of them in the top 90 percent. The simulation was run with a numpy seed of 91302, and it used 10,000 contiguous 2-hour blocks over weekends, with no orders, fees, or stops. The levels were calculated using the September 12 close price plus 10 basis points, which was not executable due to quote issues. The net 3R target assumes a quarter at a gross 2R and a residual target with 25 basis points in fees and 10 basis points in sells. The maximum forward extension, or MFE, is an overlapping unconditional not win probability. https://runway.adityaperswal.workers.dev/data/crypto-bars

A simulation found the following levels for LTC/USD: the entry proxy is 53.70385019999999, the stop proxy is 48.94005074369999, the net 3R target is 71.30881890699919, the net target gain percentage is 32.78157644458648, and the net stop loss percentage is 9.41625129713074. The quarter loss in USD is 2.804630448850391. The simulation used 214 blocks of 2 hours, with 18.95445170487157 percent of them having a profit of 90 percent or more. The average true range over 20 periods is 2.3818997281499996. The close price is 53.6502. The risk percentage based on 2 times the average true range is 8.879369426954604. The gross gain percentage for a 3R target is 26.638108280863815. A news scan found the headline is not applicable here, this is a data line. The simulation was run with a numpy seed of 91302, and it did not account for order fees or stops. The levels were calculated based on the September 12 close price plus 10 basis points, but this is not an executable quote. The net 3R target assumes a quarterly return at a gross 2R and residual target of 25 basis points fees and 10 basis points sells. The maximum favorable excursion is overlapping and unconditional, and it does not account for the probability of winning. https://runway.adityaperswal.workers.dev/data/crypto-bars

A simulation found the following levels for SOL/USD: the entry proxy is 101.86726549999999, the stop proxy is 90.95214836585, the net 3R target is 141.52423581176743, the net target gain percentage is 38.93004304878238, and the net stop loss percentage is 11.249744778048365. The quarter loss in USD is 3.3507364821417056. The simulation used 214 MFE 2026 N, with an MFE 2026 P90 percentage of 23.66637994931697 and an MFE 2026 net target coverage percentage of 7.943925233644859. The ATR20 is 5.457558567074999. The close is 101.7655, with a risk 2ATR percentage of 10.725753948194622 and a threeR gross gain percentage of 32.17726184458387. The simulation also used 684 MFE 20 N, with an MFE 20 P90 percentage of 32.41226470534469 and an MFE 20 target coverage percentage of 10.526315789473683. This simulation was completed over 2026 hours or days with no filling of missing data, using a numpy seed of 91302, and assuming 10,000 contiguous 2-hour weekend blocks with no orders, fees, or stops. The levels were set on September 12, with a close proxy plus 10 basis points, which was not executable due to quote issues. The net 3R assumes a quarter at gross 2R and residual target 25 basis points fees or 10 basis points sells. The MFE is overlapping, unconditional, and not a win probability. https://runway.adityaperswal.workers.dev/data/crypto-bars

A trading simulation for ETH/USD has the following parameters: the entry point is 2527.570045, the stop loss point is 2338.7627538337, and the target gain is 3238.144742890323. The potential gain is 28.112957711932495 percent and the potential loss is 8.02405344321876 percent. The maximum potential loss in US dollars for the quarter is 2.3899643180627077. The simulation used 214 hours of data from 2026, with 23.871490222955742 percent of the data points within a certain range. The target coverage is 8.411214953271028 percent. The average true range over 20 periods is 94.40364558315002. The closing price is 2525.045. The risk is 7.477383221538628 percent of two times the average true range. The gross gain is 22.43214966461588 percent. The simulation used 903 data points over 20 periods, with 34.25306755390461 percent of the data points within a certain range. The target coverage is 20.26578073089701 percent. This simulation was completed over 2026 hours and days with no missing data filled. It used a numpy seed of 91302, with 10,000 contiguous 2-hour blocks over weekends, and no orders, fees, or stops. The levels were set on September 12, with a close proxy plus 10 basis points, but this was not an executable quote. The net three R assumes a quarter at gross 2R and residual target 25 basis points fees and 10 basis points sells. The maximum forward excursion is overlapping and unconditional, and does not account for win probability. https://runway.adityaperswal.workers.dev/data/crypto-bars

A simulation found the following levels for BTC/USD: the entry proxy is 77343.65138499999, the stop proxy is 72673.5870200254, and the net 3R target is 95395.77491538004. The net target gain percentage is 23.340149071215265 and the net stop loss percentage is 6.600785807276733. The quarter loss in USD is 1.9660440526973748. The simulation used 214 blocks for MFE 2026, with a P90 percentage of 18.75397580680327 and a net target coverage percentage of 8.411214953271028. The ATR20 is 2335.032182487298. The close is 77266.385. The risk 2ATR percentage is 6.0441087867312495 and the three R gross gain percentage is 18.132326360193748. The simulation used 903 blocks for MFE 20, with a P90 percentage of 21.149411150280013 and a target coverage percentage of 12.73532668881506. This simulation was run with a numpy seed of 91302, using 10,000 contiguous 2-hour blocks over weekends, with no orders, fees, or stops. The levels are based on the September 12 close proxy plus 10 basis points, which is not executable. The net 3R assumes a quarter at gross 2R and residual target with 25 basis points fees and 10 basis points sells. The MFE is overlapping and unconditional, with no win probability. https://runway.adityaperswal.workers.dev/data/crypto-bars