Alphanume
Field evidence12 datasets, tested

The datasets, tested
against real prices.

Each Alphanume dataset focuses on a specific, tradable market effect. Here's every one of those claims, run against real prices, benchmarked to SPY, and put through real significance tests.

The scoreboard

Every dataset, its headline result, and an honest verdict.

How it was tested

The rigor, stated plainly — including where the proxy is rough.

  1. 01

    Tested against real prices

    Signals come from the Alphanume API; outcomes are measured against adjusted daily bars from Polygon. Samples run from a few hundred events to north of 290,000 name-days, depending on the dataset.

  2. 02

    Benchmarked and significance-tested

    Excess returns are taken versus SPY wherever a market comparison is meaningful. Every result carries a real test — a win-rate z-stat, a t-stat, monotonic bucketing, or a long-short spread — not just a median.

  3. 03

    Point-in-time by construction

    Each observation is stamped as it became available, not as it looks in hindsight. No survivorship, no silent revisions, no lookahead leaking into the study.

  4. 04

    Gross, and honest about it

    Premium-capture figures are gross of transaction costs, slippage, and path/gamma — they establish an edge's existence and stability, not a net Sharpe. The weak links (vol-of-vol, the SPY x10 SPX proxy, conditional vol-selling) are stated next to the numbers, not hidden.

01 · Proof/v1/dilutionStrong

Stock Dilution

437 dilutive S-1 filings + 328 controls · Jan 2025–present

A point-in-time record of S-1 registration statements, flagged dilutive vs. non-dilutive. The dilutive flag is a supply-shock signal — most violent in the smallest caps, where a secondary offering is enormous relative to float.

Median -14.9% at 1 month (-15.5% vs. SPY), 71% of filings lower (z = 8.9). Monotonic in size: nano-caps 74% down, large-caps 43%.

  • Stock Dilution — Dilutive vs. non-dilutive forward returns
    01.1Dilutive vs. non-dilutive forward returns
  • Stock Dilution — Short success rate by market-cap class
    01.2Short success rate by market-cap class
  • Stock Dilution — 1-month SPY-excess return distribution
    01.31-month SPY-excess return distribution
02 · Proof/v1/de-spac-eventsStrong

De-SPAC Events

371 completed de-SPACs · 2020–present

Completed SPAC-to-operating-company mergers, parsed from SEC filings. A structurally challenged cohort that tends to drift down after completion — and harder when shareholders redeem heavily.

Median -29% at 3 months, -47% at 6 months; 74% lower at 3M (z = 9.3). Heavy redemptions roughly triple the damage (-43% vs. -16%).

  • De-SPAC Events — Median forward drift, absolute and vs. SPY
    02.1Median forward drift, absolute and vs. SPY
  • De-SPAC Events — 3-month return by redemption intensity
    02.23-month return by redemption intensity
  • De-SPAC Events — 6-month return distribution
    02.36-month return distribution
03 · Proof/v1/corporate-default-eventsStrong

Corporate Default Events

472 default events · 2020–present

Public-company default events labeled from SEC filing text — missed payments, covenant breaches, accelerations, bankruptcies. A hard credit signal that keeps hurting the equity after disclosure.

Median -34% at 3 months; 61% lower a month later (z = 4.6). Severity-ordered: missed payments -37%, soft events near flat.

  • Corporate Default Events — Median forward return after default
    03.1Median forward return after default
  • Corporate Default Events — Median 1-month return by default type
    03.2Median 1-month return by default type
  • Corporate Default Events — 1-month return distribution
    03.31-month return distribution
04 · Proof/v1/earnings-move-historyStrong

Earnings Implied vs Realized

3,554 earnings events · 2024–present

A per-name track record of how each earnings move was priced (pre-earnings ATM straddle) versus how it actually moved. A direct read on the volatility risk premium. Gross of costs; the premium is market-wide, not name-specific.

Straddles overprice the realized move 64% of the time (z = 16.3), +1.1% of spot per event (t = 10.4); +4,024 points captured cumulatively.

  • Earnings Implied vs Realized — Straddle-seller edge distribution
    04.1Straddle-seller edge distribution
  • Earnings Implied vs Realized — Cumulative seller edge
    04.2Cumulative seller edge
  • Earnings Implied vs Realized — Overpricing rate by prior track record
    04.3Overpricing rate by prior track record
05 · Proof/v1/next-day-moversStrong

Next-Day Movers

3,005 selections across 157 names · Jan 2024–present

Each afternoon, the equities the model rates most likely to make a large move next session. A magnitude signal (it makes no directional claim), built for non-directional vol trades and movement screens.

Selected names realize a 4.8% median move vs. 2.4% on a normal day (2.0x); 5%+ moves hit 48% vs. 24%.

  • Next-Day Movers — Median absolute move comparison
    05.1Median absolute move comparison
  • Next-Day Movers — Distribution shift, selected vs. normal
    05.2Distribution shift, selected vs. normal
  • Next-Day Movers — Big-move hit rate
    05.3Big-move hit rate
06 · Proof/v1/iv-rankStrong

IV/HV Rank (52-Week)

141,169 settled rows · Dec 2024–present

Where a name's implied and realized vol sit inside their own trailing 52-week range. Extremes mean-revert, which makes the rank a clean timing signal for buying vs. selling premium.

Top-of-range IV falls -24.9 vol points over the next month; bottom rises +11.2. Monotonic across deciles (corr -0.36 on 141k obs).

  • IV/HV Rank (52-Week) — Forward IV change by IV-rank decile
    06.1Forward IV change by IV-rank decile
  • IV/HV Rank (52-Week) — Reversion at the two extremes
    06.2Reversion at the two extremes
  • IV/HV Rank (52-Week) — Forward realized vol by decile
    06.3Forward realized vol by decile
07 · Proof/v1/spx-0dte-strike-bandStrong

S&P 500 0-DTE Strike Band

622 trading days · Jan 2024–present

The morning strike range SPX is expected to hold through the same-day 0-DTE close. A calibrated expected-move for strike selection. (SPX is proxied here by SPY x10; tests are run basis-free.)

Predicted width contains the day 91.5% of the time; 80% close containment; band width correlates 0.80 with the realized range.

  • S&P 500 0-DTE Strike Band — Containment rates
    07.1Containment rates
  • S&P 500 0-DTE Strike Band — Predicted width vs. realized range
    07.2Predicted width vs. realized range
  • S&P 500 0-DTE Strike Band — Band width vs. realized range over time
    07.3Band width vs. realized range over time
08 · Proof/v1/quant-galore-momentum-indexStrong

Quant Galore Momentum Index

114 monthly rebalances, 208 names · Jan 2017–present

A rules-based, 10-stock, monthly-rebalanced cross-sectional momentum basket. It compounds far past the benchmark — real, significant outperformance, but high-beta momentum risk, not a smooth ride.

$1 grows to $30.4 vs. $2.9 for SPY since 2017; beats the benchmark 61% of months, +2.84% mean monthly excess (t = 2.7).

  • Quant Galore Momentum Index — Compounded equity curve vs. SPY
    08.1Compounded equity curve vs. SPY
  • Quant Galore Momentum Index — Monthly excess-return distribution
    08.2Monthly excess-return distribution
  • Quant Galore Momentum Index — Forward return by momentum rank
    08.3Forward return by momentum rank
09 · Proof/v1/iv-hv-premiumStrong

IV/HV Premium

294,503 settled rows · 2024–present

Per name and day, implied vol measured against realized — as a spread and a ratio. A conditioner: it tells you when implied is genuinely rich, which is the one regime where selling vol pays (selling blindly in this universe loses).

Seller edge sorts monotonically -9.4 to +5.1 vol points across IV/HV-ratio quintiles (14.5-pt long-short spread); win rate 27% to 53%.

  • IV/HV Premium — Seller edge by IV/HV quintile
    09.1Seller edge by IV/HV quintile
  • IV/HV Premium — Seller win rate by quintile
    09.2Seller win rate by quintile
  • IV/HV Premium — Edge distribution, richest vs. cheapest
    09.3Edge distribution, richest vs. cheapest
10 · Proof/v1/dividend-captureStrong

Dividend Capture

82,012 resolved ex-dividend events · 2024–present

Ex-dividend events with drop ratios, net capture, and recovery odds. The mechanical claims hold tightly — and that is the alpha: the dataset lets you avoid a trade that looks like free yield but is near-zero EV.

Ex-day drop averages 0.87x the dividend; net capture is +0.04% with 45% of events underwater; recovery 55% (1d) to 91% (20d).

  • Dividend Capture — Ex-day drop ratio distribution
    10.1Ex-day drop ratio distribution
  • Dividend Capture — Recovery odds by horizon
    10.2Recovery odds by horizon
  • Dividend Capture — Net capture distribution
    10.3Net capture distribution
11 · Proof/v1/sp500-risk-regimeNuanced

S&P 500 Risk Regime

3,833 trading days joined to SPY · 2011–present

A daily risk-on / risk-off flag. Read honestly: it is a strong, forward-looking volatility signal for sizing exposure and timing vol trades — not a market-direction call. Returns are the same in both regimes, and we show the flat chart deliberately.

Risk-off days realize 24.7% vol vs. 12.8% (2x); forward 10-day vol 19.0% vs. 12.3% (t = 15.0). Returns: 13.0% vs. 12.7% — not directional.

  • S&P 500 Risk Regime — Realized vol by regime, same-day and forward
    11.1Realized vol by regime, same-day and forward
  • S&P 500 Risk Regime — Returns are not directional
    11.2Returns are not directional
  • S&P 500 Risk Regime — Risk-off days shaded over realized vol
    11.3Risk-off days shaded over realized vol
12 · Proof/v1/vol-of-volNuanced

Vol-of-Vol Index

280,105 settled rows · 2024–present

How unstable a name's volatility has been over the trailing month. The weakest signal in the suite, reported as such: it is not a clean cross-sectional factor — it earns its keep only as a top-decile tail flag.

Correlation with forward vol is just 0.05 and non-monotonic. At the extreme it works: the top decile realizes 61% vol and 11% max moves vs. ~8% elsewhere.

  • Vol-of-Vol Index — Forward realized vol by vol-of-vol decile
    12.1Forward realized vol by vol-of-vol decile
  • Vol-of-Vol Index — Forward max single-day move by decile
    12.2Forward max single-day move by decile
  • Vol-of-Vol Index — Forward vol distribution, unstable vs. stable
    12.3Forward vol distribution, unstable vs. stable
Access

The evidence is on the page. The data is one query away.

Every result above is reproducible against the same point-in-time observations a live strategy would see. Browse the full index, read the methodology, or open an account to pull the data through the REST API.