Cognivec · Research · FX Results

FX Results Dossier

Headline results of the markets research line: geometric signals extracted from news text, tested against currency pairs. Results and conclusions are public; the constructions behind them are not — methods, features, and protocols are shared under NDA only.

Validation standard for everything below. All signals are causal (computed strictly before the market session they predict), evaluated walk-forward out-of-sample, net of transaction costs where marked "net", and checked against placebo machinery (shuffled calendars, random-anchor controls, permutation nulls). Pre-registration is used for confirmatory runs. These are research backtests, not live track records — a free 8-week daily forward-test is our standing offer to any fund that wants to judge for itself.

Signals that survived

Topological hole-direction → GBPUSD

net Sharpe +1.07 · 10-year walk-forward · p < 0.007 vs placebo

The flagship: the orientation of topological holes in the daily news embedding cloud predicts next-day GBPUSD direction. The hole's poles are nameable in plain words. The effect is specific — it does not transfer to other pairs, which is itself informative.

Curvature bridge-vector (independent second signal)

net Sharpe +0.72 / +0.53 across splits · p = 0.005 · corr 0.32 with the flagship

A geometrically distinct signal from the curvature of semantic bridges between topic clusters. Low correlation with the hole signal; the two-signal ensemble runs near +1.3.

Hard-pairs portfolio

net Sharpe +1.15 · p = 0.02 · positive in 4 of 5 out-of-sample years

Three signals with pairwise correlations between −0.16 and +0.15, combined on deliberately difficult currency pairs.

Semantic novelty ensemble

solo +0.79 · three-pair ensemble +1.97

How new today's news-meaning is relative to its own past predicts moves across three pairs; diversification across pairs triples the solo result.

Two-country six-level structure → cross rates

out-of-sample gross +2.54, net +1.00

Signals built from the joint structure of UK and US news at six timescales. Gross-to-net decay here is the honest headline: turnover eats most of the edge, and we say so.

Constant-axis signal (frozen years in advance)

honest out-of-sample net +1.47

An axis fixed on pre-2025 data only, then run forward untouched — the strictest test we know how to run against ourselves.

Hourly news geometry → intraday

net Sharpe +0.87 (hourly, K=168) · separate spread-filtered line +2.08 net over 7 years

The daily results replicate at hourly resolution with a different construction; a cost-aware execution filter is what makes the difference between paper edge and net edge.

Cross-signal entanglement

z = 4.08 · Sharpe +1.23

A dependence measure between news-geometry series and price — the only survivor of a nine-round adversarial search that killed 45 sibling hypotheses (see the graveyard).

The graveyard

We publish what died. Over a hundred hypotheses were tested and killed by the same machinery that validated the survivors — which is exactly why the survivors mean something. Highlights:

What is deliberately not on this page

Feature constructions, anchor identities, axis definitions, window and refit parameters, selection procedures, and execution rules. The results above are verifiable in a forward-test without any of that — which is the evaluation we recommend. Methods open under NDA: ext170@gmail.com.