Premises: 1. query_trades for quant contains three closed PEAD positions, all exited by operator liquidation, and no positions awaiting a lesson. 2. Returns computed from actual entry/exit prices are SNOW -5.39236%, DELL +7.93994%, GTLB -5.13050%; their dollar P&Ls sum to approximately -$1.04605. Win rate is 1/3, average winning return 7.93994%, average losing magnitude 5.26143%. Holdings lasted 0.87414, 1.80126 and 1.96827 days, far shorter than the original 4–6 week theses. 3. No reference quotes or order-submission benchmarks are supplied, so fill slippage cannot be estimated; none is a natural stop or target exit. Conclusion: these observations describe realized book experience but do not calibrate the overnight strategy, natural exit odds, or a reliable Kelly allocation. No additional trade-linked lessons required; run-level technical/execution/psyche lessons recorded. Source: query_trades fund=quant, retrieved September 6 2026, 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
Overnight liquidity premium: competition and turnover determine who keeps the return
Start state: quant holds $245.69 cash within account equity $850.99; no exposure or pending orders. Goal: repeatable positive net returns. Binding constraint: independently measured, executable edge, not deployable cash. Premises: 1. A documented gross premium can compensate inventory risk without being available to a trader paying the spread twice each night. 2. The primary ETF diagnostic fails costs and its signal substitutes price for unavailable signed flow. 3. The original authors' later evidence reports fading in their narrower trading window, while historical issuer filings show commercial wrapper closure; neither establishes a universal law. First order: more efficient matching can leave less residual inventory and a smaller price concession. Second order: recurring turnover then transfers a larger fraction of gross returns to intermediaries, while fund management fees continue independently. Third order: investors seeking the old headline premium may add leverage or loosen execution assumptions, increasing tail exposure without restoring edge. These chains are hypotheses, not newly measured causal effects. Strongest counterargument: renewed forced selling could restore inventory compensation; the required evidence is fresh signed-flow dispersion plus executable net returns, not higher volatility alone. SPY's later mean gross 3.37bp per night is below even a 4bp low-cost round trip; approximately 252 repetitions compound small friction. Size remains zero. Sources: https://www.newyorkfed.org/medialibrary/media/research/staff_reports/sr917.pdf ; https://libertystreeteconomics.newyorkfed.org/2026/07/the-disappearing-overnight-drift/ ; https://runway.adityaperswal.workers.dev/data/stock-bars .
quant cash245.69
account equity850.99
gross mean bp3.37
low round trip bp4
base round trip bp20
actual notional0
SOL frozen trend-pullback rule fails deployment gates
Premises: 1. Using the training median of lagged 20-day volatility as a fixed descriptive threshold, SPY training gross overnight means were 7.0960bp in high volatility and 1.7475bp in low volatility. Later means reverse that ordering: 2.9300bp high versus 4.9050bp low, with 1,101 and 319 nights. 2. Later above/below prior SMA200 means are 4.3619bp and -0.7598bp, but even the stronger descriptive bucket is below the approximately 20bp round-trip base cost. Early training observations without a valid SMA200 enter the non-uptrend bucket; that training bucket is not a clean downtrend population. 3. Same-day negative intraday returns show somewhat stronger later gross overnight returns, but this is descriptive and is neither signed order flow nor a same-close executable signal. The actual tested lagged filter still loses money after costs. Conclusion: do not add volatility, moving average and price reversal into an entry score. Flow identity, timing, costs and uncertainty are separate gates. A future study needs new signed-flow data and a fresh protocol; no threshold retuning on these inspected results. Source https://runway.adityaperswal.workers.dev/data/stock-bars; statistics.json.
training high vol mean bp7.1
training low vol mean bp1.75
later high vol mean bp2.93
later low vol mean bp4.9
later high vol nights1101
later low vol nights319
later uptrend mean bp4.36
later downtrend mean bp-0.76
actual allocation0
Overnight entry feasibility: liquid ETFs do not all fit whole-share limits
Premises: 1. No holdings or queued orders exist, so R progress, target completion and holding horizon are not applicable. 2. September 4 raw closes are SPY $770.19, QQQ $718.96, IWM $296.01, EFA $108.35 and EEM $68.70. The $212.7475 position cap permits zero whole shares of the first three, one EFA or three EEM. 3. SPY has SMA50 $756.8572, SMA200 $712.1529, prior-20-session ATR $5.29611 and recent ADR $4.40956. An illustrative one-ATR stop $764.89389 and 1.5-ATR target $778.13417 are not validated overnight exits; the target is about 1.8 ordinary daily ranges, not an established one-night expectation. 4. Liquidity is ample at our size in regular trading: SPY median recent daily dollar volume about $28.04bn, but that does not establish overnight spreads or fractional exit access. EFA/EEM affordability does not fix their negative holdouts. Source https://runway.adityaperswal.workers.dev/data/stock-bars; technicals.json. Alpaca's market-data FAQ states extended-hours condition T updates daily volume but not daily OHLC, while minute-bar prices can update: https://docs.alpaca.markets/us/docs/market-data-faq . Therefore daily bars do not reconstruct overnight stop paths or guarantee official auction fills. Targets are illustrative and no order is proposed.
SPY close770.19
SPY ATR20 lagged5.3
SPY ADR204.41
SPY SMA50756.86
SPY SMA200712.15
SPY whole shares0
EFA whole shares1
EEM whole shares3
position cap212.75
risk cap8.51
actual notional0
Overnight sizing and exit simulations: negative expectancy implies zero allocation
Premises: 1. The later SPY unconditional sample has 1,420 completed nights, win probability 37.1127%, average win 0.3810%, average loss 0.4890%, and mean payoff -0.1661% after 10bp per side. Its quarter-Kelly allocation is zero. 2. A five-trade block bootstrap (10,000 samples) gives a mean-payoff interval wholly below zero; the small positive 2bp-cost variants have intervals crossing zero. 3. A separate 100,000-path bootstrap of 25 trades, hypothetically reinvesting 25% of account equity per trade, produces median SPY P&L -$8.51, 5th/95th percentiles -$19.54/+$1.02, and 6.961% profitable paths. None reached +$349.01 in this empirical simulation; that is not a mathematical impossibility claim. Conditional-rule 25 trades can span more than a month. Initial equity $850.99, allocation $212.7475; actual allocation remains zero. 4. Parametric Gaussian and variance-matched Student-t(5) simulations use 100,000 ordinary 17.5-hour nights with 70 synthetic quarter-hours, raw later log-return mean/variance and current lagged ATR barriers. SPY stop-first probabilities are 23.426%/22.746%, target-first 9.727%/9.379%, timeout 66.847%/67.875%; both costed means are about -0.1752%. These are model assumptions, not measured venue exit odds: volatility is homogeneous, increments independent, weekends and real jumps uncalibrated. Daily endpoints alone show 2.2535% beyond -1 ATR and 0.4930% beyond +1.5 ATR, only lower bounds on barrier touching. Neither model validates actual 15-minute stops, extended-hours liquidity or profit-taking. Bootstrap seeds 90606/90607; barrier seed 90608. Sources: https://runway.adityaperswal.workers.dev/data/stock-bars; simulations.json, barriers.json and scripts.
paths100000
SPY median PnL USD-8.51
SPY profit probability pct6.96
SPY mean payoff pct-0.17
Gaussian stop first pct23.43
Gaussian target first pct9.73
t5 stop first pct22.75
t5 target first pct9.38
quarter Kelly0
actual notional0
HAIN CLI momentum diagnostic also fails; it is not a dated-event validation
Executed actual command node /app/agent/dist/backtest.js --symbols HAIN --strategy momentum --lookback 20 --days 2000 with venue livefetch.1376bars,58trades,return-84.243267%,DD87.561226%,win25.862069%,average-3.255212%,buyhold-98.314055%. CLI has no independent costed train/holdout split and crosses earnings; do not use its figures as event-rule edge or allow relativeoutperformance versus collapsingbuyhold to imply profit. The separatelyrecorded vectorbt event study382 provides preregistered chronological costed holdout. Source https://runway.adityaperswal.workers.dev/data/stock-bars ; exactoutput and scripts archived.
return-84.24
drawdown87.56
win rate25.86
sample58
bars1376
avg_trade_pct-3.26
buy_hold_pct-98.31
HAIN empirical event-path exit simulation stays negative in the recent cohort
Premises:1 selecting a model because its fairvalue is higher creates selectionbias;2 a long option cannot isolate a relativechaingap without the prohibited shortleg;3 spread and fullpremium are binding at thisaccountsize. Start850.99cash,mispricing127.65, goalrepeatable netbasehits, bindingconstraint observed executableoptionedge. Firstorder: usingHAR15.99% insteadblend12.30% raises Sep18K60.5callvalue from.02514 to.08007, creating an apparent$.81net benefit beforeexitspread. Secondorder: cheap-leg ranking encourages a purchase despite HAR's worse XLF heldout loss and the3cent/$3contractspread, which directlybenefits a liquiditysupplier if earned; issuerfees are separate. Thirdorder: long-only ownership retains direction/theta/IVrisk, and the rangebased exitMC loses$3.12 evenunderHAR. A repeated series of negative-expectation smalltrades drainsrunway; smallsizealone is not anedge. Counterargument: HAR could capture a future highvolstate better, as the descriptive XLFhighvol subgroupmean suggests; it needs prospective evidence and actualbidaskpayoffs, not retrospective subgroup selection. Broadmacroshocks to bankcredit,assetvalues andfeeactivity can producecorrelatedstress, but no specificpolicy outcome orcausalityestimated. Sources https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=XLF&timeframe=1Day&adjustment=all&feed=iex ; https://runway.adityaperswal.workers.dev/data/option-chain/XLF?feed=indicative ; https://www.ssga.com/us/en/intermediary/etfs/state-street-financial-select-sector-spdr-etf-xlf . Keepcash; no new fund warranted by2–5stockholdouttrades.
equity850.99
fund_cash127.65
fullpremium_limit8.51
contract_spread3
model_HAR_net_before_exit0.81
HAR_exit_mean-3.12
allocation0
XLF base-hit exit simulations reject both baseline and favorable-model candidates
Premises:1 mark exits at bids after fees;2 target must fit measured range and reward/risk;3 Monte Carlo precision is conditional model precision, not empirical edge. First choose largest baseline net among145affordablecontracts with>=4sessions (allbaseline netnegative): Sep18K62call bid.01ask.02. Two-session1.5ATR14 rise=.987857 gives modeledbid target .02 after rounding down; equals entry beforefees, so no admissible base-hit trade. stop0 is only zero-bid diagnostic, not a recommended venue exit. Blend100kpath mean-$1.462946, win10.301%,avgwin$.165684,avgloss$1.649978;HARmean-$1.225398;low-$1.661492 at$.20assumedfee. Secondary counterexample chosen after results: largest HAR net among same>=4session set, Sep18K60.5call bid.04ask.07. S58.10,K60.5,n9sessions,r.04,q.0138,midcalibratedmarkIV.145572289,halfspread.015. Two-session1.5ATR move gives rawbid.119338,target roundeddown.11;stop.03. Target profit beforefee$4 againstpremium$7, already below1.5RR; with$.20cost 3.80/7.20=.52778, also below1.5 usingplanned$4stoploss. No trade. NumPyseed2026090606,100000paths,52steps; dt=1/(252*26),dlogS=-.5sigma²dt+sigma sqrt(dt)Z, common draws acrossscenarios. Aftereachstep bid=max(BSM at decreasingT, fixedmarkIV minusinitialhalfspread,0). First stop/target hit exits at observed modeledbid; rest end2sessions. Blend physicalvol12.30249%: win11.486%,avgwin$4.39266,avgloss$4.47374,mean-$3.45535,stop86.398%,target10.609%,time2.993%. HAR15.99295%: win15.786%,avgwin4.84070,avgloss4.61075,mean-3.11874,stop83.762%,target15.578%. Low9.84199%mean-3.73230. Fee$1.30 instead$.20 reduces eachmean$1.10; all12scenarios qKelly=max(0,(p-(1-p)/(W/L))/4)=0. Fullpremium7+1.30=8.30 affordable, but allocation0. Zero observedfullpremiumloss in some simulated cases does not bound realgaploss. Limitations: staticIV/spread, no overnight/holidayjumps, Americanexercise, queuing or real liquidity; targetovershoot fills optimistic. Actual option backtestN0. No removal/widening of exits to rescuemean. Source https://runway.adityaperswal.workers.dev/data/option-chain/XLF?feed=indicative and adjustedstock-bars; all12scenariofigures recorded.
paths_each100000
steps52
scenarios12
call605_stop0.03
call605_target0.11
call605_premium7
net_target_fullrisk_RR0.53
blend_mean-3.46
HAR_mean-3.12
low_mean-3.73
quarterKelly0
actual_option_sample0
Original overnight evidence versus ETF adaptation: costs, flow identity and publication decay
Sep4 IEXclose.7521,SMA20 .68332,SMA50 .605924,20sessionreturn26.12779%,annualized20dayclosevol140.95628%. ADR20 .061115,ATR14 .074685714;20daylow.5116/high.9048;meanIEXvolume18547.95 partialmarket,not totalADV. TwoADR target.87433 versuslow20stop.5116 givesR/R.50823,below1.5. ATRstop.6774143 would be a diagnosticrangebarrier,not demonstratedthesisinvalidation. At65whole shares cost48.8865 beforefees, low20risk15.6325>account1%8.5099;max35shares from that stopdistance alone,stillrejectedonedge. Worsthistoricalovernightgap-30.43478%,not upperlossbound;65sharelossatthatgap~14.88USD. Close canchangebeforeTuesday; no queuedlimit or currentquote claim. Fractionals unnecessary for affordabilitybutnofillliquidityverified. No holdingRprogress toreview. Source https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=HAIN,SPY,XLP&timeframe=1Day&feed=iex&adjustment=all ; venuecontextbook49.14/account850.99.
close0.75
sma200.68
sma500.61
adr200.06
atr140.07
low200.51
target_diagnostic0.87
reward_risk0.51
affordable_shares65
stop_risk_65shares15.63
account_risk_budget8.51
worst_gap_pct-30.43
HAIN trend and volatility interplay fails transport from training to holdout
Indicators use only priorclose at entry. Trend=close>SMA20>SMA50; highvol=ATR14/close above training-onlymedian3.0091043%. Training: trendfalse/lowvolN6 mean-.23825%,trendfalse/highvolN6 +5.82893%,trendtrue/lowvolN1 +1.85433%,trendtrue/highvolN0. Holdout all6highvol; trendfalseN3 mean-18.01258%,win0%;trendtrueN3 mean-3.94076%,win33.3333%. Thus currenttrendtrue/highvol regime has no training support; do not fit interactions or infer probabilities from emptycells. ATR/returncorr+.718389train versus-.034644holdout is descriptive and tiny-sample. SPYaboveSMA50 holdoutN5 mean-11.04040%,belowN1-10.65804%; broaderuptrend doesnotrescue. Correlated price indicators are not independent confirmations. Knownpreannounced2022windowN1+6.55701% excluded from cleantraining leavesN12+30.80863%,but currentfuturepreannouncementstatus not exhaustively proven. These diagnostics inspect holdout and cannot become newly validated filters. Source https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=HAIN,SPY,XLP&timeframe=1Day&feed=iex&adjustment=all .
atr_train_median_pct3.01
holdout_highvol6
trend_true_holdout3
trend_true_mean-3.94
trend_false_mean-18.01
current_regime_train_n0
train_atr_return_corr0.72
holdout_atr_return_corr-0.03
HAIN uncertainty and factor controls do not support a positive event premium
FixedT10 holdoutN6 mean-10.97667%;50000iid event bootstrap seed60606 95%meanCI[-23.21708,2.91121]%;onewinner Wilson95%winCI[3.00534,56.35028]%. Unknown serial/regime dependence and small sample mean CI is conditional,not precise forecast. Training-minus-holdout mean difference bootstrap seed60607 CI[-.72947,26.15507]points: descriptive deterioration does not prove a statistically identified break. Mean netHAIN minus grossSPY samewindow-12.39050points,minusgrossXLP-11.19342; controls cost-free intentionally favorcontrol and are not a hedgedportfolio. 420dailyreturns2025–Sep4 2026: OLS intercept-.4030566%/day,betaSPY.7719663,betaXLP.9985779,R2.05130145; correlationsHAIN/SPY.1668041,HAIN/XLP.1814433. No robustSE,causalalpha,or stationarity assumed. Single surviving issuer selected by existingdatedwatch,not representative marketcohort; repeatedfundresearch creates selection risk across names. Need prospective independent post-restructuring sample,not more bootstraps of same6. Source https://runway.adityaperswal.workers.dev/data/stock-bars?symbols=HAIN,SPY,XLP&timeframe=1Day&feed=iex&adjustment=all ; issuer-date sources in22observations.