The machinery underneath the research: execution realism, borrow and financing replay, corporate-action lifecycle, and the quality contracts that gate what gets published.
Most of what decides whether a research result survives contact with a market is not research. It is whether the borrow was available, whether the corporate action was applied, whether the financing was charged, whether the venue was open, and whether the fill price was one anybody could have got. These documents are about that layer, and it is where more published edges die than in the signal itself.
The failures at this layer share a characteristic that makes them dangerous: they are silent and they flatter. An unapplied split turns a price series into a profit. A fill modelled at the mid earns a spread nobody paid. A backtest that ignores borrow shorts names that could not be shorted. None of these produce an error message; they produce a better number, which is why they survive review by people who are checking the strategy rather than the plumbing.
So each foundation is a contract with a test behind it rather than a description. Execution realism, borrow and financing replay, corporate-action lifecycle and market-status handling are specified. Mutation tests break the guards deliberately to confirm that each check can fail.
The same discipline applies to what these documents admit they cannot do. The cost model's one fully checkable component, crypto commission, matched exactly at 5.00 basis points against a modelled 5.0. The equity components could not be checked because recorded fills carry a padded limit price rather than a decision price. A fill that appears to beat it is beating the padding. That is published as a schema defect with a one-field fix, not smoothed over as a cost estimate.
The engineering foundations documents
- A hash-bound prospective test of cross-sectional perpetual-futures carryThis paper reports the first ALPHAC crypto-carry identity whose data decision, code, environment, trial parameters, and private execution inputs were frozen…
- AlphaMax equity momentum: signal, trial lineage, and evidence boundaryAlphaMax is ALPHAC's US-equity long/short momentum program. Its canonical signal is 12-minus-1 cross-sectional momentum: rank securities by split-adjusted…
- AlphaTrend managed-futures trend: complete trial lineage and evidence boundaryAlphaTrend is ALPHAC's managed-futures trend program. It takes volatility-normalized directional positions from medium- and long-horizon price trends across…
- Annual risk-factor narrative stability: a preregistered nullALPHAC preregistered one test of annual 10-K Item 1A narrative stability before opening the 2016–2025 return window. The locked strategy bought issuers with…
- Author review for approval-gated research protocolsThe merger-announcement and Treasury-auction redesigns have passed their no-return structural tests, but software cannot decide that Arhan understands or…
- Clustered insider purchases: a corrected preregistered nullThis record examines whether clustered open-market purchases by corporate insiders predict issuer returns after a realistic filing delay. Two immutable…
- Corporate-action and delisting lifecycle replayAlphaForge now replays point-in-time splits, cash dividends, and metadata-confirmed delistings inside the event-driven backtester. This is engineering…
- Crypto defensive factors: positive summaries without admission evidenceThis record reconciles two cross-sectional defensive-factor identities in crypto perpetual futures: 720-hour low beta and 720-hour low realized volatility.
- Crypto momentum: complete trial lineage and failed sleeve-admission evidenceAlphaForge tested cross-sectional and time-series momentum in perpetual-futures prices. Diversification without standalone edge does not earn a sleeve slot.
- Crypto multi-factor engine: seven trials, capacity decay, and no-deploy verdictAlphaForge ran a historical robustness matrix over crypto perpetual futures from 2021-01-01 through 2026-06-01. Seven charged identities belong to the broad…
- Crypto perpetual carry: trial lineage, capacity failure, and live evidence boundaryAlphaForge studies cross-sectional carry in USDT-margined perpetual futures, ranking contracts by the negative trailing mean of observed funding: expensive…
- Crypto short-horizon reversal: two decisive negative trialsTwo historical identities test whether crypto perpetual-futures returns reverse after common movement is removed. One uses a 24-hour residual signal; the…
- Crypto volatility risk premium: one proxy trial and a published nullAlphaForge tested one preregistered BTC/ETH volatility-risk-premium timing rule from 2021-03-24 through 2026-06-01. It compared Deribit DVOL closes with a…
- Current-book diversification: the confidence-bound resultThe long-run portfolio objective is approximately −0.03 average correlation. The current measured point is 0.0548 above it. Calling +0.0248 “near zero” may be…
- Current-composition maximum-drawdown modelThis study estimates the two-year maximum-drawdown distribution of the current ALPHAC composition: three constituent sleeves (AlphaMax, AlphaTrend and…
- Dated-futures execution foundationAlphaForge can now represent a dated futures contract as a first-class FUTURE instrument and make deterministic lifecycle decisions without using information…
- Engineering quality boundaryThis page reports the current static-quality boundary honestly. Twelve credentialed network tests remain deliberately deselected from the offline suite.
- Equity fundamental quality: 11 identities and no validated sleeveNovy-Marx's gross-profitability evidence provides an important prior (Journal of Financial Economics). One family can contribute at most one independent sleeve.
- Equity low beta: two negative identities and no defensive sleeveTwo historical identities test a 252-session equity beta rank. The implemented portfolio seeks a long-low-beta, short-high-beta spread under rank allocation.
- Equity value, issuance, and investment: 13 identities and unstable evidenceValue ratios ask whether prices are low relative to accounting fundamentals. Cooper, Gulen, and Schill document the asset-growth effect (Journal of Finance).
- Execution realism and model boundaryThis page describes what AlphaForge actually models as of 2026-08-18. It is an engineering capability statement, not evidence of investment performance.
- FilingFacts v0: financial reasoning items verified from SEC XBRL dataFilingFacts is a set of 1,882 questions about the annual SEC filings of 402 companies. Every answer is computed from the company's XBRL facts, re-derived by…
- Identity redesign notes: three families that mis-specified their populationStatus: DRAFT. Nothing here is registered. No hypothesis identity, no threshold, no universe is fixed by this document. Registering any of it spends a trial…
- Legacy DSR restatementThis is a correction ledger, not a performance upgrade. Original artifacts remain intact. Current selection context: N=228, identity-aligned V[SR]=0.0008957471.
- Luck-equivalent trials: how many skill-less strategies it takes to reach a Sharpe by luckA backtest's Sharpe ratio means little until you know how many strategies were tried to find it. Luck-equivalent trials answers the reviewer's question in the…
- Merger arbitrage v2: point-in-time announcement identityThe original metadata protocol required one preceding Item 1.01 8-K inside 60 days for at least 80% of all target-side deal anchors. It failed at 67.02%.
- Null Zoo v0: backtest-overfitting corrections scored on ground truthEvery correction for backtest overfitting makes a promise: that a skill-less strategy will pass it no more often than its stated level. The level is 5.0%.
- Petroleum inventory scarcity: a preregistered negative resultThis study tests one preregistered implementation of petroleum-inventory scarcity using EIA first-release data and liquid exchange-traded energy proxies.
- Point-in-time cash and collateral financing replayAlphaForge can now accrue explicit cash-credit, margin-debit, and short-collateral rates inside the event-driven backtester. This is engineering evidence, not…
- Point-in-time crowding and stressed capacityAlphaForge now has a coverage-aware crowding gate in the shared pre-trade path. It keeps institutional ownership, short interest, borrow utilization, fund…
- Point-in-Time Inflation Surprise and the Equity Size SpreadThis paper reports a point-in-time inflation-surprise strategy applied to the dollar-neutral IWM-minus-SPY equity size spread. The fixed specification…
- Point-in-time macroeconomic trend: seven identities without a validated sleeveALPHAC evaluates seven immutable identities spanning an economic-trend engine, CPI-surprise sizing, and point-in-time macro-vintage variants. Persisted…
- Point-in-time market-status and outage replayAlphaForge can now replay explicit venue and instrument market-status intervals inside the event-driven backtester. This is engineering evidence, not…
- Point-in-time options execution foundationAlphaForge now has tested domain primitives for option terms, quote snapshots, displayed-size package execution, fee assessment, internal scenario margin…
- Point-in-time securities-borrow foundationAlphaForge now has tested primitives for security-level borrow availability, locates, fees, recalls, and forced-buy-in deadlines, plus optional event-driven…
- Reconstructing corporate-action basis without opening strategy returnsAn immutable operating-margin replay exposed a corporate-action data defect: dividend values from the frozen Sharadar ACTIONS archive were being treated as…
- Sharadar HDB zero-dividend quarantineThe frozen Sharadar ACTIONS archive contains 11 dividends whose values are not positive. This is a vendor-originated source defect, not a backtest result.
- Spin-off dislocation; initial Form 10 document-schema protocolNo company names, filings, or years may be removed because they are not genuine spin-offs. Form 10 is deliberately being tested as a noisy discovery source.
- Spin-off dislocation; SEC Form 10 lineage protocolCan the complete 2016–2025 exchange-registration candidate universe be reconstructed from official quarterly EDGAR full indexes without starting from a modern…
- Treasury auction concession; published-identity timing auditThe official event manifest passed its metadata gates, but the primary paper's tradable identity starts ten trading days before a 2-year note auction.
- Treasury auction concession: point-in-time schedule state machineThe original literature identity enters a relative-value position ten XNYS sessions before each fixed-rate 2-year Treasury auction, reverses after the…
- When a Forward Sharpe Ratio Becomes EvidenceA forward Sharpe ratio should not become a headline merely because a short paper-trading curve can produce one. This paper defines the precommitted evidence…
- When Crypto Carry Became Crash Exposure: The LABUSDT IncidentAlphaForge bought LABUSDT at a paper fill of 16.150421 USDT on 5 July 2026 while its point-in-time funding signal was negative. This distinction matters.
