CLAIMBOUND / SOFTWARE PERFORMANCE

ManifoldBT vs Monte-Neo — fair race D001

Narrow, pre-registered Apple Silicon comparison. ManifoldBT Community CPU only versus open-source Monte-Neo (MIT). CUDA / Pro GPU is not a peer on this host.

Result status

PASSED_UNDER_PROTOCOL under MANIFOLD_MONTE_NEO_FAIR_RACE_D001 (registry sequence 8073).

Operator: NeoZorK · Host baseline: Apple M1 Pro 16GB · Synthetic OHLCV seed 42, 50k bars.

Maintainer baseline (throughput)

Lane	ManifoldBT	Monte-Neo	Gate
Type C — sweep (combos/s)	~38	~46k	Monte-Neo > Manifold (required)
Type A — return-path MC (sims/s)	~3.2k	~1.9k	both ok (no winner)
Type B — scenario / N-run	ok	Metal or CPU fallback	informational

Type C label: specialized Numba SMA kernel (Monte-Neo) versus general-purpose run_sweep (ManifoldBT). This is the D001 throughput gate, not a matched fee-aware full-engine bake-off.

Type A/B/C answer different questions and must not be merged into one speed claim.

Charts (committed artifacts)

Relative paths into the evidence tree (also on GitHub):

Reproduce from the card alone

Open the evidence card and copy runner_command.
In a clean clone of claimbound-evidence, run that command.
Confirm overall status stays PASSED_UNDER_PROTOCOL and Type C gate still passes (absolute rates may vary by host).

Card: CLAIMBOUND-MANIFOLD_MONTE_NEO_FAIR_RACE_D001-2026-09-12.json
Protocol: MANIFOLD_MONTE_NEO_FAIR_RACE_D001 charter
Independent rerun issue: #355

Known limitations (Type C honesty)

Community fan-out / session wait can dominate Manifold wall-clock on Type C.
Monte-Neo D001 kernel: long/flat-style SMA grid, scalar PnL-style work — not Manifold’s full expression + fees/equity path.
On the Type C PNG, ~40 vs ~46k on a linear axis can look “empty”; value labels show Manifold is ~38–41 combos/s, not zero.

Claim boundary

Does not claim universal superiority of any engine. Does not compare against Manifold CUDA/Pro GPU. Does not claim Type C is an apples-to-apples full-engine comparison. Community caps apply (sweep ≤256, MC ≤1000). Synthetic data only.

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