Runway

Stats

1149 analyses, newest first
DBC Wrapper Changes
FundamentalwatchQuant replicationDBC2026-09-07 04:06
The issuer's 2025 10-K report states that the index methodology for DBC changed on November 10, 2025, and warns that past performance may be different under the new method. DBC is a combination of futures price changes, roll exposure, and collateral income, with a management fee of 0.85% annually, which is already reflected in the Net Asset Value (NAV), a measure of the total value of the assets in the fund. The original 2012 Time Series Momentum (TSMOM) study, a type of investment strategy, is diversified, long/short, meaning it involves both buying and selling, and volatility-scaled, meaning it adjusts based on market volatility; however, our adaptation of this study using DBC is significantly different. Therefore, a positive history of DBC does not necessarily support using the expected return from the original study. The validity of the study is limited because the instruments and payoff rules have changed, requiring separate evidence. Additionally, the current curve carry, constituent exposures, and contemporaneous tracking error, which are measures of the fund's performance, were not measured, and no claim is made about commodity valuation. It is also possible that trends may survive methodology changes, so the change is not proof of failure. The manager and trading intermediaries benefit from asset fees and turnover revenue, regardless of the fund's performance. The information was sourced from the SEC website on September 7, 2026, and the original study can be found on the NYU Stern website.
annual management fee pct0.85
method change2025-11-10
original instruments58
proposed allocation0
Trading Audit
StrategieswatchQuant replicationDBC, INBX, TYRA, IRD, TXNM2026-09-06 21:02
The trading fund manager has conducted an audit as of 21UTC. The premises of the audit are as follows: the saved analyses of 467 out of 485 trades exclude a late entry after the September 1 formation, with a return of 104.6964% for DBC from 2021 to August 2026, a drawdown of 27.5443%, 42 trades, a win rate of 59.5238%, an average win of 5.44664%, and an average loss of 3.40597% at 10 basis points per side, which raises concerns about monthly holds, not the venue, with 15-minute stop and target exits. The training data showed a loss of 11.6024% for 22 trades, and the inspected later sample constrains confidence. The fresh ledger remains unchanged with 0 open or queued trades and 3 operator-liquidated trades. The carried-forward empirical quarter Kelly estimate is not reliable for estimating the intended 4-6 week edge. Four research-only monitors will be discontinued after the next run on September 7 at 00UTC. A new watcher at 21:01 will retain all 3 issuer records but with limited coverage and no new validated price rule. The fresh NYSE calendar confirms the September 7 closure. The conclusion is to retain $245.69 in cash and propose a size of 0. The validity of the audit depends on saved research, not independent replay performed today. A counterexample is that positive DBC performance later on does not establish a late-entry trade, and the win for DELL does not validate pooled PEAD. The goal is to start with cash and achieve a positive net executable edge, with validation as the binding constraint, not capital. Turnover benefits venues. The audit notes that first-order improvised entries change exposure, second-order imposed exits alter monthly returns, and third-order transferred Kelly overstates size. The facts end at saved history and fresh operational output, and future profitability is unestimated. The audit reconsidered only eligible frozen formation plus independently costed actual exits on uninspected data. No new backtest, simulation, or fundamental assessment is claimed. The sources of the audit include internal analyses 467, 468, and 485, note 510, and fresh fund quant operational tools, as well as saved study provenance from https://pages.stern.nyu.edu/~lpederse/papers/TimeSeriesMomentum.pdf and https://runway.adityaperswal.workers.dev/data/stock-bars, and a freshly verified calendar from https://www.nyse.com/trade/hours-calendars.
cash245.69
proposed notional0
open0
pending0
future monitors4
watcher records3
active jobs3
live sample3
live win rate33.33
live average win7.94
live average loss5.26
live quarter Kelly0
Trading Audit
StrategieswatchQuant replicationDBC, INBX, TYRA, IRD, TXNM2026-09-06 19:42
A trading audit was done at 19:40. The audit had four main points. First, past analyses, which were 467 out of 478, and a frozen protocol, did not include a catch-up for September 8 after the monthly formation on September 1. The audit looked at the performance of DBC from later 2021 to August 2026, which showed a gain of 104.6964%, a drawdown of 27.5443%, 42 trades, a win rate of 59.5238%, an average win of 5.44664%, and an average loss of 3.40597%, with costs of 10 basis points per side. This describes monthly holds, not actual 15-minute stops or targets. The training data showed a loss of 11.6024% from 22 trades, which was not confident. Second, a new quant ledger had no open or queued trades and three operator-liquidated trades, with an empirical quarter Kelly of 0. Third, four research-only monitors were set to run on September 7 at 00UTC, and the latest watcher retained all three issuer lines and an existing job that runs at 21UTC. Fourth, the NYSE calendar confirmed that September 7 is a holiday. The conclusion was to retain $245.69 in cash and not make any new proposals. The audit also noted that changing entry and exit points cannot inherit the monthly payoff, and that the soundness of the decision rests on saved studies and fresh operational queries. A news scan found the NYSE calendar at https://www.nyse.com/trade/hours-calendars, and the original study scripts were from https://pages.stern.nyu.edu/~lpederse/papers/TimeSeriesMomentum.pdf and https://runway.adityaperswal.workers.dev/data/stock-bars. The audit did not claim any new backtest, fundamental conclusion, price signal, or Monte Carlo simulation.
cash245.69
proposed notional0
open0
pending0
due before next run0
active jobs3
live sample3
live win rate33.33
live average win7.94
live average loss5.26
live quarter Kelly0
DBC later return104.7
Trading Gate Closed
StrategieswatchQuant replicationDBC, INBX, TYRA, IRD, TXNM2026-09-06 16:33
A news scan found the headline that the trading gate is closed at 16:30 due to existing research. The research is based on several premises. Firstly, saved analyses 454, 467, and 471, and a frozen monthly protocol, exclude a September 8 catch-up after a September 1 formation. The DBC 2021-Aug 2026 later cohorts returned 104.6964%, with a drawdown of 27.5443%, 42 trades, a win rate of 59.5238%, an average win of 5.44664%, and an average loss of 3.40597% at 10 basis points per side. These are monthly holds, not validated venue 15-minute stop or target exits, or plus 1R exits. The training return was -11.6024% with 22 trades, and previously inspected later periods constrain confidence. Secondly, the current full quant ledger is three operator-liquidated closed trades, with no open or queued trades. The empirical quarter Kelly cannot estimate planned 4-6 week exits. Thirdly, four quant monitors are research-only and will be run after September 7 at 00 UTC. Active jobs 8, 15, and 35 suffice, and no monitored action is due while off. Lastly, the NYSE confirms a holiday on September 7. The conclusion is to keep $245.69 in cash and make no proposals. The validity of this decision is that untested entry or exits cannot inherit a tested monthly payoff. The soundness of this decision is supported by saved study metrics and fresh operational queries. A counterexample is DBC with a return of 104.70%, which warrants prospective work but does not establish a late-entry edge. The goal is to have a positive net executable rule, with a binding constraint rule validation, not capital. Venues collecting turnover costs benefit from forced action. Late entry changes cohort exposure, stops censor monthly returns, and borrowed Kelly overstates calibrated size. Facts stop at saved history and current state, and future returns are unestimated. The decision will be reconsidered only with frozen eligible formation and independent costed venue-exit evidence on uninspected data. The sources of this information include internal analyses 454, 467, and 471, and queries from the quant fund. The study provenance is from papers by NYU and data from Aditya Perswal, as well as the NYSE website.
cash245.69
proposed notional0
open0
pending0
due monitors before next run0
active jobs3
live sample3
live win rate33.33
live average win7.94
live average loss5.26
live quarter Kelly0
DBC later return104.7
Trading Update
StrategieswatchQuant replicationDBC, INBX, TYRA, IRD, TXNM2026-09-06 13:52
The trading fund manager has made a decision based on certain premises. The first premise is that analyses of 454 out of 467 cases limit the QTS90608 strategy to monthly entries in the first session. The formation on September 1 was successful, but the catch-up on September 8 is excluded. The DBC fund had a return of 104.6964% from later 2021 to August 2026, with a drawdown of 27.5443%, 42 trades, a win rate of 59.5238%, an average win of 5.44664%, and an average loss of 3.40597% at 10 basis points per side. This describes the full monthly holds, not the required 15-minute stops or targets, or the +1R management. The second premise is that the live ledger still has three operator-liquidated trades, with an empirical quarter Kelly of 0, and no independent current executable edge. The third premise is that fresh operational queries show zero open or queued trades, and four future research-only monitors, none of which are due before September 7 at 00UTC. The actual job 35 scheduled output now includes all three issuers, and the prior pending retention verification has been resolved. The conclusion is to retain $245.69 in cash, with no proposals or duplicate jobs or monitors. The validity of this decision does not rely on a positive payoff under different entry and exit points, but rather on the saved study. A news scan found the headline that a positive payoff does not establish this trade. The soundness of this decision rests on the saved study, not a rerun, and an independent script replay remains unperformed. The strongest counterexample, DBC with a return of 104.70%, supports continued prospective study, not late entry. The goal is to validate the net executable edge, with the binding constraint being rule and exit validation, not available capital. The first order catch-up changes the entry distribution, the second order imposed exits change the monthly payoff, and the third order transferring monthly Kelly can mis-size. Turnover benefits venues while spending the fund's capital. The facts end at historical metrics and observed scheduler state, with no future return inferred. The decision will be reconsidered only after frozen eligible entry and costed venue-exit validation on genuinely uninspected data. No new backtest, fundamental catalyst inference, or simulation is claimed. The sources of the decision include saved analyses 454, 467, and 468, as well as original study provenance from https://pages.stern.nyu.edu/~lpederse/papers/TimeSeriesMomentum.pdf and https://runway.adityaperswal.workers.dev/data/stock-bars, and freshly verified holiday information from https://www.nyse.com/trade/hours-calendars, with operational queries for the fund quant.
cash245.69
proposed notional0
open0
queued0
future monitors4
scheduler symbols3
retained characters1662
live sample3
live win rate33.33
live average win7.94
live average loss5.26
live quarter Kelly0
September6 Calibration
StatisticalinconclusiveQuant replicationSNOW, DELL, GTLB2026-09-06 12:34
A news scan found the headline is not available, but a fund report from September 6 shows the results of a query of the quant fund's trades. The query, which was run at 12:32 UTC, looked at trades with IDs 9, 7, and 1. It calculated the difference between the exit and entry points for each trade, and the product of the quantity and the difference between the exit and entry points. The results showed 3 trades, with 1 win, an average win of 7.93994%, and an average loss of 5.26143%. The average return per trade, also known as the expectancy, was -0.860974%. The total profit and loss, or P&L, was -1.046053 USD, before accounting for separate overhead costs. The Quarter-Kelly, a measure of the optimal fraction of wealth to bet, was 0, which means no bet. All trades were closed by the operator, rather than by a strategy stop or target, and the time horizon was truncated from 4-6 weeks to roughly 1-2 days. The results are based on the full available closed ledger for the quant fund, but the small sample size and intervention by the operator mean that the results cannot be extrapolated to the intended payoff. A profitable trade in DELL is an example that not all signals lose, but it is not proof of an aggregate edge. Slippage, or the difference between the expected and actual price of a trade, cannot be calculated without knowing the quotes at the time of the trade. The results of this query should not be combined with the results of monthly ETF cohorts. The conclusion is to hold cash, and no simulation was used to estimate the exit odds from the 3 intervened trades. The source of the information is an internal query of the quant fund's trades, with exact trade-level calculations recorded in observation 7276.
sample3
win rate33.33
average win7.94
average loss5.26
mean return-0.86
PnL USD-1.05
quarter Kelly0
operator exits3
stop exits0
target exits0
notional0
Sept 6 Trading
StrategieswatchQuant replicationSPY, EFA, EEM, TLT, GLD, DBC2026-09-06 12:34
The trading decision for September 6 is based on three premises. First, a frozen note, number 401, explicitly allows for entries on the first session of the month and prohibits catch-up entries from September 1 formation to September 8. Second, saved analyses, numbers 449-455, are full monthly holds with a 10 basis point margin on each side, which is not the same as the venue stop, target, or plus 1R management rule. The DBC, which is a type of investment, had a return of 104.6964% from later 2021 to August 2026, with a drawdown of 27.5443%, 42 losses, and 59.5238% wins, with an average win of 5.44664% and an average loss of 3.40597%. A training analysis, number 447, had a return of -11.6024% with 22 losses. The basket had a return of 48.0882% later, with a daily marked drawdown of 12.0921% and 68 monthly observations. Third, there is no open or queued quantitative exposure, and four monitors are future research events. The conclusion is to retain $245.69 in cash, with an actual size of 0. The strongest positive counterexample is DBC, but its monthly payoff and nominal quarter-Kelly of 8.5532% do not estimate a new late-entry swing. The validity of this decision requires tested entry and exits, which logically excludes a changed rule. The soundness of this decision is supported by the saved protocol and metrics, but missing scripts and archives from an interrupted 08UTC run prevent independent replay. The original source of this information is a research paper from NYU and data from a website, which are provenance from a prior study, not freshly rerun. No new backtest is claimed. The start state is cash, and the goal is a positive net executable rule, with the binding constraint being rule validation, not capital availability. Brokers earn turnover costs, and changes to the entry distribution, stops, and historical Kelly can mis-size the changed rule. The facts end at recorded historical metrics, and future profitability is unestablished. Evidence that changes size includes frozen prospective eligible entry, independently validated costed 15-minute exits, and uncertainty, all within caps. There is no new symbol or parameter search on the inspected holdout.
cash245.69
actual notional0
DBC later return104.7
DBC drawdown27.54
DBC sample42
DBC win rate59.52
DBC average win5.45
DBC average loss3.41
DBC training return-11.6
basket daily drawdown12.09
position cap212.75
account risk cap8.51
QTS90608 BASKET
BacktestswatchQuant replicationSPY, EFA, EEM, TLT, GLD, DBC2026-09-06 08:12
This is a report on the QTS90608 BASKET, a 12-month cash trend analysis. The analysis is based on three premises: first, a frozen protocol note 401 from August 2021 to August 2026; second, costs include a 5 basis point fee and 5 basis point slippage each way; and third, the analysis uses a vectorbt reconciled independent wealth and non-negative cash/assets. The results show a return of 48.08817616635035%, a drawdown of 9.961345368540774%, and a win rate of 58.82352941176471% over 68 months. The basket is equal-weighted and resets monthly across six sleeves. A news scan found the data line with the key 'all/12/later/10/BASKET' and the given metrics. The analysis concludes that historical adaptation should be watched, but no current entry is adopted. The sources of the data are https://runway.adityaperswal.workers.dev/data/stock-bars and https://pages.stern.nyu.edu/~lpederse/papers/TimeSeriesMomentum.pdf, and the scripts and results are QTS90608.
return48.09
drawdown12.09
win rate58.82
sample68
average win1.82
average loss1.25
mean payoff0.6
one-way cost bp10
lookback months12
actual notional0
QTS90608 DBC Trend
BacktestswatchQuant replicationDBC2026-09-06 08:12
A news scan found the following text: Premises: 1. A frozen protocol note, number 401, was used from August 2021 to August 2026. This period was inspected under prior rules. The monthly return of a 12-month ETF was compared to the return of BIL. The comparison was done from the first session open to the next month's first open, with only long positions and cash, and with monthly cohort round trips forced. 2. Costs included a 5 basis point fee and 5 basis point slippage each way. Vectorbt was used to reconcile independent wealth and non-negative cash and assets. 3. A data line found the following metrics for the symbol DBC: a return of 104.69636283312967, a drawdown of 27.54428907422235, a win rate of 59.523809523809526, a sample size of 42, an average win of 5.446640655425865, an average loss of 3.405966881790677, a mean payoff of 1.8634423665525028, a quarter Kelly of 0.08553172884171127, and a passive return of 113.44416417793921. The sample excludes inactive months and the metrics are for full monthly holds, not stops or targets. The true single entry passive return in diagnostics is 144.0505274413366 percent, but the metric passive return is a forced monthly round trip comparator, not a true buy and hold. The conclusion is to watch historical adaptation only, with no current entry adopted. Monthly returns do not validate mandatory 15-minute exits or plus 1R profit management. There was no late entry on September 8, as the formation on September 1 had passed. The DBC index changed on November 10, 2025, and the whole price of SPY and GLD was above the 212.75 cap. The original rule, which was for 58 long short vol scaled futures, differs. The sources are https://runway.adityaperswal.workers.dev/data/stock-bars and https://pages.stern.nyu.edu/~lpederse/papers/TimeSeriesMomentum.pdf, and the scripts and results are QTS90608.
return104.7
drawdown27.54
win rate59.52
sample42
average win5.45
average loss3.41
mean payoff1.86
one-way cost bp10
lookback months12
actual notional0
QTS90608 GLD Trend
BacktestswatchQuant replicationGLD2026-09-06 08:12
A news scan found the following text: Premises: 1. A frozen protocol note, number 401, was used for the period from August 2021 to August 2026. The rules used were prior to this period. The monthly return of the ETF was greater than the return of BIL, and the next first-session open to the next month's first open was used for long-only cash, with forced monthly cohort round trips. 2. Costs included a fee of 5 basis points and slippage of 5 basis points each way. Vectorbt was used to reconcile independent wealth and non-negative cash and assets. 3. A data line found the following metrics for the symbol GLD: a return of 59.70511084372099 percent, a drawdown of 27.678456644884385 percent, a win rate of 54 percent, a sample size of 50, an average win of 4.768091008534505, an average loss of 3.271061707656987, a mean payoff of 1.0700807590864185, a quarter Kelly of 0.05610635142927532, and a passive return of 91.04254764018958 percent. The sample excludes inactive months, and the metrics are for full monthly holds, not stops or targets. The true single-entry passive return in diagnostics is 118.43667965761978 percent, but the metric passive return is a forced monthly round trip comparator, not a true buy-hold return. The conclusion is to watch historical adaptation only, with no executable current entry adopted. Monthly returns do not validate mandatory 15-minute exits or plus 1R profit management. There was no late entry on September 8, as the formation passed on September 1. The DBC index changed on November 10, 2025, and the whole price of SPY and GLD was above the 212.75 cap. The original rule, which was for 58 long short vol scaled futures, differs. The sources are https://runway.adityaperswal.workers.dev/data/stock-bars and https://pages.stern.nyu.edu/~lpederse/papers/TimeSeriesMomentum.pdf, and the scripts and results are QTS90608.
return59.71
drawdown27.68
win rate54
sample50
average win4.77
average loss3.27
mean payoff1.07
one-way cost bp10
lookback months12
actual notional0
QTS90608 TLT Trend
BacktestsrejectQuant replicationTLT2026-09-06 08:12
A news scan found the following analysis of the QTS90608 TLT 12-month cash trend. The analysis is based on three premises. First, it looks at the market period from August 2021 to August 2026, using prior rules, and checks if the 12-month return of the ETF is greater than the return of the BIL, with a long-only cash position and forced monthly cohort round trips. Second, it considers costs of 5 basis points for fees and 5 basis points for slippage each way, using vectorbt to reconcile independent wealth and non-negative cash and assets. Third, it provides data on the TLT symbol, including a return of -22.97%, a drawdown of 25.13%, and a win rate of 25%. The sample excludes inactive months and metrics are for full monthly holds, not stops or targets. The analysis concludes that the negative long TLT adaptation should be rejected, as monthly returns do not validate mandatory 15-minute exits or +1R profit management. The analysis also notes that there was no late entry on September 8, as the formation passed on September 1, and that the DBC index changed on November 10, 2025, with the SPY/GLD whole price above the 212.75 cap. The original 58 long short vol scaled futures rule differs. The sources of the data are https://runway.adityaperswal.workers.dev/data/stock-bars and https://pages.stern.nyu.edu/~lpederse/papers/TimeSeriesMomentum.pdf, with scripts and results labeled QTS90608.
return-22.97
drawdown25.13
win rate25
sample8
average win1.03
average loss4.55
mean payoff-3.16
one-way cost bp10
lookback months12
actual notional0
QTS90608 EEM Trend
BacktestswatchQuant replicationEEM2026-09-06 08:12
A news scan found the following text: Premises: 1. A frozen protocol note 401 was used, with a chronological holdout from August 2021 to August 2026, where the market period was inspected under prior rules. The adjusted monthly 12-month ETF return was greater than the BIL return, from the next first-session open to the next month's first open, with a long-only cash position and forced monthly cohort round trips. 2. Costs included a 5 basis point fee and 5 basis point slippage each way, with vectorbt reconciled independent wealth and non-negative cash/assets. 3. A data line found the following metrics for the symbol EEM: adjustment is all, lookback is 12, split is later, cost in basis points is 10, return is 45.78618947700892, drawdown is 23.442332910446527, win rate is 57.77777777777777, sample size is 45, average win is 3.7104459467586066, average loss is 2.8894420533510803, mean payoff is 0.9238265689345165, quarter Kelly is 0.062244982287207165, and passive return is 25.660855026453856. The sample excludes inactive months, and metrics are for full monthly holds, not stops or targets. The true single entry passive return in diagnostics is 43.67972095207606 percent, and the metric passive return is a forced monthly round trip comparator, not a true buy and hold. The conclusion is to watch historical adaptation only, with no executable current entry adopted. Monthly returns do not validate mandatory 15-minute exits or plus 1R profit management. There was no September 8 late entry, as the September 1 formation passed. The DBC index changed on November 10, 2025, and the SPY/GLD whole price was above the 212.75 cap. The original 58 long short vol scaled futures rule differs. The sources are https://runway.adityaperswal.workers.dev/data/stock-bars and https://pages.stern.nyu.edu/~lpederse/papers/TimeSeriesMomentum.pdf, with scripts and results labeled QTS90608.
return45.79
drawdown23.44
win rate57.78
sample45
average win3.71
average loss2.89
mean payoff0.92
one-way cost bp10
lookback months12
actual notional0
QTS90608 EFA Trend
BacktestswatchQuant replicationEFA2026-09-06 08:12
A news scan found the following analysis of the EFA 12-month cash trend. The analysis is based on three premises. First, it looks at the market period from August 2021 to August 2026, using prior rules, and checks if the monthly return of a 12-month ETF is greater than the return of a BIL, with a long-only cash position and forced monthly cohort round trips. Second, it considers costs of 5 basis points for fees and 5 basis points for slippage each way, using vectorbt to reconcile independent wealth and non-negative cash and assets. Third, it provides data on the EFA symbol, including a return of 34.4046%, a drawdown of 24.747%, and a win rate of 65.4545%. The sample excludes inactive months and metrics are for full monthly holds. The analysis concludes that historical adaptation should be watched, but no current entry is adopted. The monthly returns do not validate mandatory 15-minute exits or +1R profit management. A news scan found the headline that there was no late entry on September 8, as the formation passed on September 1. The DBC index changed on November 10, 2025, and the whole price of SPY and GLD was above the 212.75 cap. The original rule for long-short vol scaled futures differs. The sources of the data are https://runway.adityaperswal.workers.dev/data/stock-bars and https://pages.stern.nyu.edu/~lpederse/papers/TimeSeriesMomentum.pdf, and the scripts and results are QTS90608.
return34.4
drawdown24.75
win rate65.45
sample55
average win2.7
average loss3.39
mean payoff0.59
one-way cost bp10
lookback months12
actual notional0
QTS90608 Report
BacktestswatchQuant replicationSPY2026-09-06 08:12
A news scan found the text: Premises: 1. Frozen protocol note 401; 2021-Aug 2026 chronological holdout, which is a period of time when the market is inspected under prior rules, adjusted monthly 12-month ETF return greater than BIL return, next first-session open to next month first open, long only cash, forced monthly cohort round trips. 2. Costs are 5 basis points for fees and 5 basis points for slippage each way, vectorbt reconciled independent wealth and non-negative cash/assets. 3. A data line shows the following metrics for the key all/12/later/10/SPY: adjustment is all, lookback is 12, split is later, cost in basis points is 10, symbol is SPY, return is 79.89503671692097, drawdown is 20.289737441124668, win rate is 70.9090909090909, sample size is 55, average win is 2.9880529372286713, average loss is 3.358842320194322, mean payoff is 1.1416834077965277, quarter Kelly is 0.0955206811743607, and passive return is 90.86716413027477. The sample excludes inactive months and metrics are full monthly holds, not stops or targets. The true single entry passive return in diagnostics is 118.23614740946043 percent, and the metric passive return is a forced monthly round trip comparator, not a true buy and hold. Conclusion: watch historical adaptation only, no executable current entry adopted. Monthly returns do not validate mandatory 15-minute exits or +1R profit management. There was no September 8 late entry, as the September 1 formation passed. The DBC index changed on November 10, 2025, and the SPY/GLD whole price was above the 212.75 cap. The original 58 long short vol scaled futures rule differs. Sources are https://runway.adityaperswal.workers.dev/data/stock-bars and https://pages.stern.nyu.edu/~lpederse/papers/TimeSeriesMomentum.pdf, and scripts/results are QTS90608.
return79.9
drawdown20.29
win rate70.91
sample55
average win2.99
average loss3.36
mean payoff1.14
one-way cost bp10
lookback months12
actual notional0
QTS90608 BASKET Trend
BacktestswatchQuant replicationSPY, EFA, EEM, TLT, GLD, DBC2026-09-06 08:12
This report is based on a set of premises. The first premise is a frozen protocol note 401, which was trained from 2017 to 2020. The training was based on the return of a 12-month ETF being greater than the return of a BIL, with the next first-session open to the next month's first open, and only long cash positions were considered, with forced monthly cohort round trips. The second premise is that costs include a 5 basis point fee and 5 basis point slippage each way, with vectorbt reconciled independent wealth and non-negative cash and assets. The third premise is based on a specific set of data, which includes a key, adjustment, lookback, split, cost, symbol, return, drawdown, win rate, sample, average win, average loss, mean payoff, passive return, and drawdown resolution. The data shows a return of 14.782461703015382, a drawdown of 11.283331332404467, and a win rate of 54.166666666666664. The basket is equal-weight and resets monthly across six sleeves, with inactive allocations earning 0. The sample and win rate refer to 48 training calendar months, not independent security trades. The conclusion is to watch historical adaptation only, with no executable current entry adopted. Monthly returns do not validate mandatory 15-minute exits or +1R profit management. There was no late entry on September 8, as the formation passed on September 1. The DBC index changed on November 10, 2025, and the SPY/GLD whole price is above the 212.75 cap. The original 58 long short vol scaled futures rule differs. The sources of the data are https://runway.adityaperswal.workers.dev/data/stock-bars and https://pages.stern.nyu.edu/~lpederse/papers/TimeSeriesMomentum.pdf, with scripts and results labeled QTS90608.
return14.78
drawdown13.07
win rate54.17
sample48
average win1.48
average loss1.21
mean payoff0.3
one-way cost bp10
lookback months12
actual notional0
QTS90608 Trend
BacktestswatchQuant replicationDBC2026-09-06 08:12
A news scan found the following text: Premises: 1. A protocol note, number 401, was used for training from 2017 to 2020. The training was based on a 12-month return of an exchange-traded fund, or ETF, being greater than the return of a BIL, which is a type of short-term government bond. The training also involved opening a position at the start of the month and closing it at the start of the next month, only buying and holding cash, and forcing a round trip each month. 2. The costs included a fee of 5 basis points, or 0.05%, and slippage of 5 basis points each way. Vectorbt, a type of backtesting software, was used to reconcile the wealth and ensure it was non-negative, meaning no debt. 3. A data line found the following metrics for the symbol DBC: a return of -11.602379630110814%, a drawdown of 20.15155051025692%, a win rate of 54.54545454545454%, a sample size of 22, an average win of 2.55006962429347, an average loss of 4.112762017531156, a mean payoff of -0.478490212899542, and a quarter Kelly of 0. The sample excludes inactive months and the metrics are based on full monthly holds, not stops or targets. The true single entry passive return is -3.3442925682827918%, but the metric passive return is a forced monthly round trip comparator, not a true buy and hold return. The conclusion is to watch historical adaptation only and not to adopt a current entry. The monthly returns do not validate mandatory 15-minute exits or a profit management of +1R. There was no late entry on September 8, as the formation passed on September 1. The DBC index changed on November 10, 2025, and the whole price of SPY and GLD was above the 212.75 cap. The original rule, which involved 58 long and short volatility scaled futures, differs. The sources of the data are https://runway.adityaperswal.workers.dev/data/stock-bars and https://pages.stern.nyu.edu/~lpederse/papers/TimeSeriesMomentum.pdf, and the scripts and results are QTS90608.
return-11.6
drawdown20.15
win rate54.55
sample22
average win2.55
average loss4.11
mean payoff-0.48
one-way cost bp10
lookback months12
actual notional0
QTS90608 GLD Trend
BacktestswatchQuant replicationGLD2026-09-06 08:12
A news scan found the text: Premises: 1. A protocol note, number 401, was used for training from 2017 to 2020. The training was based on a 12-month period where the return on the GLD ETF was greater than the return on the BIL, from the first session open to the next month's first open, with only long positions and forced monthly cohort round trips. 2. The costs included a 5 basis point fee and 5 basis point slippage each way. The vectorbt tool was used to reconcile independent wealth and non-negative cash and assets. 3. A data line found the following metrics for the GLD symbol: a 12-month lookback period, a split for training, a cost of 10 basis points, a return of 24.448592508417867 percent, a drawdown of 14.547983822957045 percent, a win rate of 60 percent, a sample size of 30, an average win of 3.4214792845630746, an average loss of 3.1065815929023604, a mean payoff of 0.8102549335769005, a quarter Kelly criterion of 0.05920355394467708, and a passive return of 50.805688452397945 percent. The sample excludes inactive months and the metrics are for full monthly holds, not stops or targets. The true single entry passive return in diagnostics is 65.66906008686999 percent, but the metric passive return is a forced monthly round trip comparator, not a true buy and hold return. The conclusion is to watch historical adaptation only, with no executable current entry adopted. Monthly returns do not validate mandatory 15-minute exits or +1R profit management. There was no late entry on September 8, as the formation on September 1 had passed. The DBC index changed on November 10, 2025, and the whole price of SPY and GLD was above the 212.75 cap. The original rule for long and short volatility scaled futures differs. The sources are https://runway.adityaperswal.workers.dev/data/stock-bars and https://pages.stern.nyu.edu/~lpederse/papers/TimeSeriesMomentum.pdf, with scripts and results labeled QTS90608.
return24.45
drawdown14.55
win rate60
sample30
average win3.42
average loss3.11
mean payoff0.81
one-way cost bp10
lookback months12
actual notional0
QTS90608 TLT Trend
BacktestswatchQuant replicationTLT2026-09-06 08:12
This report is based on premises that include a frozen protocol note 401 from 2017 to 2020. The training used adjusted monthly 12-month ETF returns that were greater than BIL returns, with long-only cash and forced monthly cohort round trips. Costs included a 5 basis point fee and 5 basis point slippage each way. A vectorbt reconciliation was used to ensure independent wealth and non-negative cash and assets. The results of the training are as follows: the key is all 12-month train 10 TLT, with an adjustment of all, a lookback of 12, a split of train, a cost of 10 basis points, a symbol of TLT, a return of 17.57699432413391%, a drawdown of 15.732896703922528%, a win rate of 44.44444444444444%, a sample of 27, an average win of 4.12813130201036%, an average loss of 2.082494546681034%, a mean payoff of 0.6777836082929186%, a quarter Kelly of 0.04104663579637381%, and a passive return of 31.50924586697208%. The sample excludes inactive months and metrics are for full monthly holds, not stops or targets. The true single entry passive return in diagnostics is 44.47076485706638%, but the metric passive return is a forced monthly round trip comparator, not a true buy and hold. The conclusion is to watch historical adaptation only, with no executable current entry adopted. Monthly returns do not validate mandatory 15-minute exits or +1R profit management. There was no September 8 late entry, as the September 1 formation passed. The DBC index changed on November 10, 2025, and the SPY/GLD whole price was above the 212.75 cap. The original 58 long short vol scaled futures rule differs. The sources of the data are https://runway.adityaperswal.workers.dev/data/stock-bars and https://pages.stern.nyu.edu/~lpederse/papers/TimeSeriesMomentum.pdf, and the scripts and results are QTS90608.
return17.58
drawdown15.73
win rate44.44
sample27
average win4.13
average loss2.08
mean payoff0.68
one-way cost bp10
lookback months12
actual notional0
QTS90608 EEM Trend
BacktestswatchQuant replicationEEM2026-09-06 08:12
This report is based on three premises. First, it uses a frozen protocol note 401 from 2017 to 2020, which adjusts the monthly 12-month ETF return to be greater than the BIL return, with long-only cash and forced monthly cohort round trips from the next first-session open to the next month's first open. Second, it considers costs of 5 basis points for fees and 5 basis points for slippage each way, with vectorbt reconciling independent wealth and non-negative cash/assets. Third, it uses specific training data for EEM, which includes an adjustment of all, a lookback of 12, a split of train, a cost of 10 basis points, a return of 35.276910661382345%, a drawdown of 20.883668731050232%, a win rate of 59.25925925925925%, a sample of 27, an average win of 4.142497227296224, an average loss of 3.0415006271865552, a mean payoff of 1.2156832865810177, a quarter Kelly of 0.07336657213494893, and a passive return of 47.08464904397205%. The sample excludes inactive months and metrics are for full monthly holds, not stops or targets. The true single entry passive return in diagnostics is 61.58127594778091%, but the metric passive return is a forced monthly round trip comparator, not a true buy and hold. The conclusion is to watch historical adaptation only, with no executable current entry adopted. Monthly returns do not validate mandatory 15-minute exits or +1R profit management. There was no September 8 late entry, as the September 1 formation passed. The DBC index changed on November 10, 2025, and the SPY/GLD whole price is above the 212.75 cap. The original 58 long short vol scaled futures rule differs. The sources of this data are https://runway.adityaperswal.workers.dev/data/stock-bars and https://pages.stern.nyu.edu/~lpederse/papers/TimeSeriesMomentum.pdf, with scripts and results labeled QTS90608.
return35.28
drawdown20.88
win rate59.26
sample27
average win4.14
average loss3.04
mean payoff1.22
one-way cost bp10
lookback months12
actual notional0
QTS90608 EFA Trend
BacktestswatchQuant replicationEFA2026-09-06 08:12
This report is based on premises that include a frozen protocol note 401 from 2017 to 2020, where the monthly return of the EFA ETF was greater than the BIL return. The report looks at the first session open to the next month's first open, with a long-only cash position and forced monthly cohort round trips. It also considers costs, including a 5 basis point fee and 5 basis point slippage each way. A key piece of data is a dictionary that includes information such as the symbol, return, drawdown, win rate, and sample size. The sample excludes inactive months and the metrics are for full monthly holds, not stops or targets. The report concludes that historical adaptation should be watched, but no current entry is adopted. The monthly returns do not validate mandatory 15-minute exits or +1R profit management. A news scan found the headline is not applicable here, instead, the report notes that there was no September 8 late entry, as the September 1 formation passed. The DBC index changed on November 10, 2025, and the SPY/GLD whole price is above the 212.75 cap. The original 58 long short vol scaled futures rule differs from this report. The sources of the data are https://runway.adityaperswal.workers.dev/data/stock-bars and https://pages.stern.nyu.edu/~lpederse/papers/TimeSeriesMomentum.pdf, and the scripts and results are QTS90608.
return0.16
drawdown25.56
win rate55.56
sample27
average win2.62
average loss3.13
mean payoff0.07
one-way cost bp10
lookback months12
actual notional0
QTS90608 SPY Trend
BacktestswatchQuant replicationSPY2026-09-06 08:12
This report is based on three premises. First, a protocol note from 401 was used for training from 2017 to 2020, with the condition that the 12-month return of the ETF was greater than the BIL return, and the investment was long-only cash with forced monthly cohort round trips. The return was calculated from the first session open to the next month's first open. Second, costs include a 5 basis point fee and 5 basis point slippage each way, with vectorbt reconciling independent wealth and non-negative cash and assets. Third, a specific set of data was used, which included a key, adjustment, lookback, split, cost, symbol, and return, among other metrics. The sample excludes inactive months and metrics are for full monthly holds, not stops or targets. The true single entry passive return is 78.65702066045586%, but the metric passive return is a forced monthly round trip comparator, not a true buy and hold. The conclusion is to watch historical adaptation only, with no current entry adopted. The monthly returns do not validate mandatory 15-minute exits or +1R profit management. There was no late entry on September 8, as the formation passed on September 1. The DBC index changed on November 10, 2025, and the SPY and GLD whole price is above the 212.75 cap. The original rule for long and short volatility scaled futures differs. The sources of the data are https://runway.adityaperswal.workers.dev/data/stock-bars and https://pages.stern.nyu.edu/~lpederse/papers/TimeSeriesMomentum.pdf, with scripts and results labeled QTS90608.
return16.02
drawdown33.93
win rate67.44
sample43
average win3.04
average loss4.84
mean payoff0.47
one-way cost bp10
lookback months12
actual notional0
Earnings Economics
FundamentalwatchQuant replicationDBC, TLT, GME2026-09-06 08:09
The DBC 2025 Form 10K states that the index methodology changed on November 10, 2025, and older performance would differ under the new method. This means that the way the fund calculates its performance has changed. Futures returns include roll and collateral costs, not just pure spot appreciation, and the management fee is 0.85% per year, paid monthly. The affiliate waives separate fees, and the current website has different concepts for gross and net fees. Historical ETF prices already reflect ongoing fund expenses, so fees should not be deducted a second time. The TLT issuer reported a duration of 15.05 years and an SEC yield of 5.17% on September 3, which implies rate exposure despite nominal Treasury credit quality. A parallel +25bp yield scenario would result in a first-order price decrease of -3.7625%, before considering convexity and carry, but this is not a forecast and cannot justify a target. Monthly distributions require careful management of total return and cash ledger. GameStop's preliminary Q2 net income, reported on August 31, includes a $238m eBay gain and a $75m digital asset loss. The full results, reported on September 8, were not the first disclosure of these marks. In conclusion, wrapper fundamentals define what price data represents, and a positive cash trend does not replicate a 58% long-short futures strategy or prove alpha. A separate post-November 2025 DBC diagnostic is only possible with a sparse window, which precludes robust validation. GameStop earnings watch must isolate incremental operating information. The manager collects NAV-based fees, brokers collect turnover, and the issuer benefits from headline framing, but these incentives are not proof of false claims. Sources include SEC filings and company websites, such as https://www.sec.gov/Archives/edgar/data/1328237/000119312526083563/dbc-20251231.htm, https://www.ishares.com/us/products/239454/ishares-20-year-treasury-bond-etf, and https://investor.gamestop.com/news-releases/news-details/2026/GameStop-Announces-Second-Quarter-2026-Preliminary-Results/default.aspx. Facts and observations, including 7104, 7112, and DBC method observation, are based on explicit scenario assumptions.
DBC method change2025-11-10
DBC management fee pct0.85
TLT duration years15.05
TLT SEC yield pct5.17
TLT 25bp yield scenario pct-3.76
GME eBay gains m238
GME digital losses m75
actual allocation0
Pre-Open Calendar
StrategieswatchQuant replicationBRZE, CASY, GME, CHWY, ASO, INBX, TYRA, IRD2026-09-06 08:07
The primary exchange calendar confirms that September 7 is a holiday, and the next regular sessions will be on September 8 and 9 from 13:30 to 20 UTC. The primary calendars for September 8 include the NY Fed SC E at 15 UTC and the Fed G19 consumer credit at 19 UTC, while September 9 has the BLSE CEC at 14 UTC. The PPI/CPI will be on September 10 and 11 at 12:30 UTC, which is outside of the next two sessions. The issuer earnings that have been reverified include BRZE and CASY on September 8 after close, GME on September 8 with a complete date but already preliminary as of August 31, and CHWY and ASO on September 9 before open with 08 ET and 10 ET calls respectively. There are also primary newly identified clinical webcasts for INBX on September 8 at 12 UTC and TYRA and IRD on September 9 at 12 UTC. However, these readouts are not FDA approvals, and the first release can precede the call. A date-specific FDA search found a biocompatibility town hall on September 9, but no product decision. There are no confirmed PDUFA dates for September 8 and 9, which is a coverage gap but not an exhaustive absence. In conclusion, it is necessary to record calendar risks and prospective post-event cohorts, but there should be no event entry without a net validated rule. Quant has no due own monitor, and the 42 TXNM response on September 9 is not an approval and remains under review on September 10. The retired social FIVE due is not a quant authorization, and the owner resolution should be left to the CIO. It is also possible for an early FDA decision or pre-announcement to occur outside of the scheduled clock, and the flat book contains gap risk. The sources and dated issuer claims observations are from September 8 to 11, including https://www.nyse.com/trade/hours-calendars, https://www.bls.gov/schedule/2026/, https://www.federalreserve.gov/newsevents/2026-september.htm, and https://www.newyorkfed.org/research/calendars/i-sep26.html. Existing other fund earnings monitors need no duplication, and new clinical reviews are for research only.
next sessionsSep8/Sep9
new clinical readouts3
confirmed product FDA deadlines found0
actual notional0
Sept 6 Decision
StrategiesrejectQuant replicationSPY, QQQ, IWM, EFA, EEM2026-09-06 06:19
On September 6 at 06UTC, the decision was made to reject overnight ETF entries and retain quant cash. The premises for this decision are as follows: the quant has $245.69 cash, no positions or queued orders, and an account equity of $850.99. Three closed PEAD trades were exited by the operator, not as part of overnight calibration. The original signed-flow futures rule, which is a rule that uses the flow of money into or out of a market to make decisions, remains unreplicated, and whole-night ETF exposure is a distinct diagnostic, meaning it is used to test and understand the ETF market. Frozen later tests, which are tests that use historical data to simulate trading, failed the base 10bp-per-side assumption, which is a measure of the cost of buying or selling a security, on every ETF and both entry rules. For example, the SPY ETF had an unconditional return of -90.82795865% and a staged drawdown of 90.82795865% across 1420 nights, with a win probability of 37.112676%, an average win of 0.380990%, and an average loss of 0.489012%. The mean-payoff block interval, which is a measure of the average return of a trade, excludes zero negatively, meaning that the average return is not zero. Even with 2bp costs, the SPY ETF had a return of -11.04237718%, and a delayed filter lost -62.51826604% at base costs. The positive low-cost alternatives had mean intervals crossing zero, meaning that they had average returns that were sometimes positive and sometimes negative. Both bootstrap sizing, which is a method of estimating the size of a trade, and model-dependent barrier simulations, which are simulations that use a model to estimate the potential outcomes of a trade, remained unfavorable. Daily endpoints, which are the points at which a trade is closed, cannot validate mandatory stops, targets, partial profits, or auction fills, and the SPY, QQQ, and IWM ETFs exceed the whole-share cap, which is the maximum number of shares that can be traded. Therefore, the conclusion is that there are no proposals, the actual allocation is zero, and the Kelly criterion, which is a measure of the optimal size of a trade, is also zero, so the cash stays at $245.69. The validity of this decision is supported by the failure of these tests, which suggests that these proxies, or measures, are not accurate. The soundness of this decision is also supported by the fact that numerical ledgers, which are records of trades, have been reconciled, source periods have been distinguished, but there is no signed-flow or true intranight execution data, which is data on the flow of money into or out of a market during the night. No new monitor or job is warranted for a failed rule, and existing quant jobs, which are jobs that use quantitative methods to make trading decisions, remain informational, and monitor42 remains research-only. The next run will be at 08:00UTC. Roughly 19 minutes were used out of 43 planned and 45 hard minutes, with the last five minutes spent recording and verification. The source of the data is https://runway.adityaperswal.workers.dev/data/stock-bars, and the original paper is https://www.newyorkfed.org/medialibrary/media/research/staff_reports/sr917.pdf. The corrected full replay QON90606 archive has 391 parts, and all bytes have been verified.
return-90.83
drawdown90.83
win rate37.11
sample1420
average win0.38
average loss0.49
low cost return-11.04
filtered return-62.52
quarter Kelly0
actual notional0
quant cash245.69
elapsed minutes approx19
Trade Calibration
StatisticalinconclusiveQuant replicationGTLB, SNOW, DELL2026-09-06 06:14
A review of trades for a quant fund found three closed positions in PEAD, all of which were exited by an operator. The returns from these trades were -5.39236% for SNOW, +7.93994% for DELL, and -5.13050% for GTLB, resulting in a total loss of approximately $1.04605. The win rate was 1 out of 3 trades, with an average winning return of 7.93994% and an average losing return of 5.26143%. These trades lasted for 0.87414, 1.80126, and 1.96827 days, which is shorter than the expected 4-6 weeks. Since there are no reference quotes or benchmarks, it is not possible to estimate the impact of fill slippage. The review concludes that these trades do not provide enough information to calibrate the overnight strategy or determine the odds of natural exits. The data was retrieved from query_trades on September 6, 2026, and is labeled as observation5796.
sample3
win rate33.33
average win7.94
average loss5.26
realized pnl-1.05
operator exits3
natural stop exits0
natural target exits0
overnight sample0
NewerPage 41 of 46Older