# Fundamentals ranking-overlay research

Status: completed 2026-07-23. Decision: keep production scoring and qualification unchanged.

## Question

Does using point-in-time SEC fundamentals to reorder already-qualified long setups improve the production portfolio's risk-adjusted return? The experiments changed ranking only; qualification, execution, sizing, capacity, costs, ATR exits, and post-stop re-entry remained unchanged.

## Method

- The control was the production 80/20 residual-momentum / volatility rank.
- SEC facts became visible only after `accepted_at`, using the newest visible accession per fiscal period.
- Portfolio simulations used daily entry opportunities, close fills, the production gate-reset re-entry policy, and a 30-session horizon.
- Train contained entries before 2024-01-01, validation covered 2024, and test began 2025-01-01.
- Missing composite scores were neutral at 50.
- Deflated Sharpe used the complete registered arm count for each experiment.

The snapshot contained 511 tracked tickers, 507 unique CIKs, 30,494 SEC snapshot rows, and prices from 2021-06-24 through 2026-07-22.

## Initial experiment

The first registered matrix tested quality, growth, and balanced composites at 10%, 20%, 30%, and 40% weights: 13 trials including control.

No overlay passed the train and validation requirements. The most attractive full-period result, balanced at 10%, failed validation and improved test Sharpe by only 0.06.

Review also found that filing-time diluted EPS and shares are not reliably comparable across stock splits. A snapshot audit found share-count changes above 25% for 90 of 461 issuers with comparable 2021+ periods, including recognizable split ratios for AMZN, GOOG, NVDA, CMG, and GE plus some obvious unit anomalies. Consequently, EPS growth and share-count change cannot be trusted for historical ranking without point-in-time split factors.

The complete initial result is recoverable from Git commit `7f944d7`.

## Split-safe follow-up

The follow-up excluded diluted-EPS growth and share-count change completely. It tested:

- Quality: operating margin, FCF margin, and low net-debt/EBITDA, requiring at least two inputs.
- Growth: revenue growth only.
- Balanced: equal quality and growth weights.
- Overlay weights: 5%, 10%, and 15%.

This produced 10 registered trials including control. Growth coverage among qualified candidates was 88.96%; lack of data was not the limiting factor.

| Window | Control Sharpe | Revenue-growth 5% | Delta |
|---|---:|---:|---:|
| Train | 1.26 | 1.31 | +0.05 |
| Validation | 2.52 | 2.64 | +0.12 |
| Test | 1.99 | 1.99 | 0.00 |
| Full | 1.86 | 1.87 | +0.01 |

Revenue growth at 5% mechanically passed the deliberately permissive "not worse" gate, but did not demonstrate an economically meaningful edge:

- Test CAGR rose from 54.4% to 56.1%, while full-period CAGR fell from 52.1% to 51.5%.
- Full-period trade overlap was 68.53%, so roughly one-third of selections changed for essentially unchanged Sharpe.
- Revenue-growth IC was 0.0006 in train, 0.0053 in test, and 0.0116 full-period with a full-period t-stat of 0.55.
- Growth weights of 10% and 15% deteriorated; quality and balanced composites failed.
- The test window had already been inspected, so this follow-up was sensitivity evidence rather than a fresh out-of-sample result.

The complete split-safe result is recoverable from Git commit `dba7ea7`.

## Decision

- Do not add fundamental weight to production ranking or the automated qualification gate.
- Do not run another historical weight sweep on the same sample; it would add data-mining rather than new evidence.
- Keep fundamentals informational and user-facing in the UI.
- A5 source-parity and cutover work can proceed independently without changing scoring behavior.
- Treat historical EPS growth and share-count change as non-comparable across corporate actions until a split-aware solution or a conservative UI guard exists.

Revisit automated weighting only with materially better data, such as point-in-time split factors and historical constituent/delisting coverage, followed by genuinely new forward paper evidence.

## Limitations

The snapshot uses today's tracked universe rather than historical membership and delisted securities, creating survivorship bias. Absolute CAGR and Sharpe must not be interpreted as unbiased live expectations. The relative comparison is useful, but the observed test window and short number of independent factor windows limit statistical power.

## Repository cleanup

The experiment-only scorer, runner, Mac launcher, caches, tests, and expanded report bundles were removed after this decision. They remain recoverable from commits `eae4d34`, `34d6dda`, `7f944d7`, and `dba7ea7`. Production fundamentals derivation and ingestion remain unchanged.