MIZAN makes a trading strategy's honesty provable, not self-reported: cryptographic proof that performance is real — after costs, out of sample, no lookahead — without ever revealing the strategy. Not a fund. Not a scoring site. The neutral verification rail for every market. To our knowledge, the first engine to prove both canonical schools of backtest honesty — the López de Prado/Bailey program and the Harvey–Liu/Hansen program — in one zero-knowledge credential. It stands on sixty years of crowned work — a Nobel, two Turing Awards, the first Gödel Prize — twenty authors, fully cited; the bolt between them is ours: the committed trial ledger that makes the trial count provable, era law, and a sealed path for black-box models. The honesty is structural: at the 0.95 significance bar, our own flagship credential reads not significant — and we ship it that way. Engine live, in open testing; minting is free while it runs.
Every credential minted during open testing is a genuine 220KB cryptographic proof — the same artifact institutions will pay for once billing switches on. Minting is free while the test phase runs.
A credential is a permanent, replayable artifact. Anyone can re-verify it in a browser, forever. The first entries in the registry hold that position for as long as the standard exists. That seniority is not repeatable.
Every check runs on your machine, the verifier trusts us for nothing. If you find a forgery path, we publish it with your name on it. We already publish our own failures: nine public retractions and counting. That's the bar.
Bonds have Moody's. Companies have audit. Identity has KYC. But $23 trillion sits in alternative investments where the manager grades their own homework: performance numbers come from a backtest the manager built themselves. AI made fabricating one trivial, and spotting a real one impossible.
Every era of finance installs a verification standard once the market outgrows handshakes. 1909: the first credit rating. 1923: the first audit standard. 1999: GIPS. Systematic finance's standard is being installed now. MIZAN is built to be it.
Generating a compelling backtest used to take months. AI reduced it to minutes. Most published strategies already failed out-of-sample before AI, the backtest-overfitting result López de Prado formalized. Independent allocator research now quantifies the flood: 72% of LLM-finance studies leave key biases unaddressed, and nine of ten frontier LLM trading agents show negative stock-selection alpha (SPEC Research, State of AI Alpha, Q3 2026). The problem is no longer solvable by diligence — only by verification.
Independent quants with genuine edge cannot prove it without revealing it. The result: real alpha dies unreached, or gets stolen. The market has no way to move trust without moving the secret.
Numerai, Darwinex, fund auditors all verify within their own ecosystem, and they have skin in the game. A neutral third-party verification standard doesn't exist. Until MIZAN.
This market wasn't waiting on demand. It was blocked. To prove an edge was real you had to reveal the strategy, and once you revealed it, it wasn't yours. To keep it secret you had to ask for trust. Allocators have lived inside that trade-off for thirty years, and no amount of diligence dissolves it, because the constraint was mathematical rather than commercial.
Zero-knowledge proofs dissolve it. That cryptography only became practical, at this cost and this speed, in the last two years. We didn't invent it. We pointed it at systematic finance: seventeen conditions checked on a single credential, a 220KB receipt, seconds to verify.
The constraint that made this market impossible is gone. The standard is unclaimed.
Think of it like a drug test. You don't need to see the formula to trust the result. The math is the auditor. The strategy stays secret. The allocator receives a verified certificate that anyone can re-run independently.
The path most quants actually need: your edge is code — a neural net, a Python pipeline, a C++ stack, even discretion. MIZAN never sees or runs any of it. You run the model anywhere you like and submit only the decisions it made: one position per bar. The proof is computed on those decisions, on pinned prices, at real costs. The logic never leaves your machine.
This is verifiable AI for what finance actually needs verified: not the model's internals — the money. And for a model compact enough, we go further still: its own inference runs inside the proof, every decision recomputed from its committed weights, the model never revealed. We proved it on our own — a neural network that made nothing on Bitcoin and +895% on NVIDIA, and the gate refused both. Live today, re-verifiable by anyone in seconds. An AI strategy's track record, proven real and statistically honest, with the model never revealed. Verifiable inference is still a research frontier across the industry; verifiable performance is our product, live today.
Your infrastructure, your libraries, your secrets. Export the position stream: [0, +1, +1, 0, −1, …] — whole or fractional sizing, one entry per bar.
The decisions are sealed behind a cryptographic commitment and compounded in-circuit on pinned market data, net of the cost model committed inside the proof. The credential shows the verdict and the metrics. Never the logic.
Alter a single decision after the fact and the sealed track head changes: the credential fails every verifier on earth. A fabricated curve cannot pass, because the verdict is recomputed from your positions, not from numbers you declare.
One boundary, stated up front: a one-shot seal proves your model is immutable and that these exact decisions cleared the gate. It does not prove the decisions were made without hindsight — that guarantee is earned by extending the track forward, positions committed before the bars exist. The growing anchored track is the credential allocators weight most.
The full map before you submit: thirteen strategy classes provable today, and one refused on principle. Further classes are announced when they ship, not before. A verification layer is only as valuable as what it won't bless.
The full asset universe is rolling in, deliberately slowly. Canonical today: BTC (4h and daily), SPY on our US equity data feed, 639 US single names, and a 30-stock survivorship-free PIT universe (test phase). NIFTY and gold were withdrawn 2026-07-28 — their source failed our own provenance standard, and we pulled our datasets rather than keep minting on them. Your market missing? Request a dataset — a clean authoritative source is ~15–30 min to pin; and via the SDK's own-data tier (kit issued on request during the test phase), any market in the world is mintable on data you commit.
No HFT credentials. Not now, and maybe never. Below the bar, the fill is the strategy: queue position, fill probability, adverse selection. None of that exists in bar data, which is what this circuit proves over.
We could stamp a tick backtest. It would be mathematically valid and economically meaningless, so we refuse. We paid to learn this.
Every class here is the same pipeline: strategy → positions → gate → proof. New coverage is richer inputs, not a new engine. See the full coverage map →
Verification is the wedge. The standard is the destination. Every market this large eventually grows one, and it compounds into the layer capital itself flows across.
Prove a hidden strategy is real — after costs, no lookahead, out-of-sample — without revealing it. Engine built, self-audited, asset-class agnostic; the trend family verified live today. Chained tracks live: the same sealed strategy re-proven over a growing window: a backtest that becomes a proven live track, every link Merkle-bound to its parent. First real chain is public — verify it → Also proven live: ML / black-box models, the gate computed in-circuit over a hidden model's committed positions, plus zkML inference for compact models. Point-in-time equities: our US equity data feed live in test phase — a 30-stock survivorship-free PIT panel and 639 single names, delisted names retained. Further asset families are announced when they ship.
Verified strategies become discoverable. The marketplace engine — allocations, capital-routing, and fee accounting (allocator 80% · manager 15% · MIZAN 5%) — is built and tested. Allocators fund strategies through their own brokerage accounts; custody never leaves them. What's next: real capital flowing through it at scale.
Bonds got Moody's. Equities got MSCI. Systematic finance, the last $23 trillion holdout — gets MIZAN. Not a fund, not a broker: the neutral rail every allocation flows across, worldwide.
Verification and the self-serve product are live today. The marketplace engine is built in code and unit-tested; no real capital has flowed through it yet — see the full trajectory →
One screen. The engine is asset-class agnostic and verifies any market, the trend family verified live today, with more markets as managers submit them. In the built product, strategies are funded through the allocator's own brokerage account. Custody never leaves them. They see their own fills — never the manager's logic; confidentiality covers the position stream itself.
Illustrative product preview — the marketplace engine is built in code and unit-tested; no real capital has flowed through it yet. Live today: the verification engine, the self-serve product, and the first issued credential. Explore the preview →
We don't need external quants to launch: MIZAN Labs' own gate-cleared strategies are the initial supply — seeded through the same locked gates, subject to the same public retractions. Allocators see real, credentialed supply from day one. External managers are the growth lever, not the launch dependency — no two-sided bootstrap to solve.
The credential is a cryptographic receipt. Anyone can re-run it locally and confirm, without MIZAN, the quant, or the data provider in the loop. Click below to run the audit on our first issued credential.
New: you can now re-verify a credential entirely in your browser: client-side, no server, including the STARK seal itself (proof that the computation actually ran, not just the numbers), with no trusted setup. Try it at studio.mizan.market →
And we don't just defend the engine — we attack it: an adversarial red-team ledger with named findings (seed-grinding, rounding-direction, floor-slack), each one fixed and published in full. Read the attack ledger →
Newer still: chained tracks. A credential is no longer frozen at mint: the same sealed strategy is re-proven over a strictly longer window as data accrues, each link cryptographically bound to its parent (same spec commitment, Merkle-prefix window, same locked gate). A backtest that grows into a proven live track. Re-verify the first real chain yourself →
The credential also carries a Deflated Sharpe: Bailey & López de Prado's correction for the trials you ran to find a result. Held to the honest 0.95 significance bar, MIZAN's own flagship credential reads "NOT significant at 95%": and the credential says so, out loud, by design. A verifier you can't fail is theater. As of 2026-07-22, the two further López de Prado tests are live too: minted as real STARKs on GPU and re-verifiable at mizan.market/verify with the source-available verifier: PBO (probability of backtest overfitting, held to ≤0.5, the flagship sample reads 0.0759 at S=16 — all 12,870 balanced partitions, López de Prado’s own published setting, not overfit) and CPCV (purged, embargoed combinatorial cross-validation for leakage, headlined by the 5th-percentile path Sharpe, the sample reads +0.003). All three sins López de Prado named — selection bias, overfitting, leakage — are now cryptographic credentials rather than roadmap — to our knowledge the first time the full framework has been made re-verifiable this way. The honest caveats stand: the trial count N is forward-only (it counts what you ran after the ledger opened, and can't recover experiments from before it), the Deflated Sharpe is computed at an autocorrelation-corrected effective sample size (n_eff) — serial dependence makes the test harder, never easier, and no strategy has yet cleared all three bars, the flagship still fails the 95% Deflated-Sharpe test, in public.
Some strategy classes MIZAN refuses on principle — HFT, permanently. A verification layer is only as valuable as what it refuses to bless.
./verifier credential.bundle prices.csv
Hidden strategy cleared every MIZAN gate. The issuer proved performance without disclosing a single line of code. Zero trust in the issuer required.
No management fee. No AUM tax. A flat credential to get verified, and a success fee only on capital the marketplace sources, paid only when the strategy actually wins.
On marketplace-sourced capital: a 20% performance fee, split manager 15% · MIZAN 5% · allocator keeps 80%: crystallized annually, above a high-water mark. Allocators self-direct into their own accounts — MIZAN never custodies, executes, or advises. Who sees what: your account, your fills, your custody; the manager's logic — never. An allocator watching their own executions learns one account's position stream, not the strategy, and confidentiality terms cover even that. The manager keeps three-quarters of the performance fee and lands capital they couldn't raise alone. The credential is the flat on-ramp; the marketplace is the business we're building. Platform economics, not a fund's. Two rules underneath every price: the public verifier is free forever: we charge for minting proofs, never for checking them. And you pay for the examination, not the outcome. Pass or fail, the price is the same, and if MIZAN upgrades the verifier, re-anchoring existing credentials costs nothing. The marketplace and its fee are contemplated future features; they may require licensing in relevant jurisdictions and will not be offered until authorized.
A hedge fund's moat is opacity: "trust our numbers, you can't verify them." MIZAN removes it. As the verified marketplace grows, capital migrates from opaque funds to provable strategies — cheaper, transparent, cryptographically real. The marketplace competes head-on for the $4.5T that pays for opacity today, and becomes the venue where the world's capital finds verified talent. And the deepest moat is time itself: every credential and trial is Bitcoin-timestamped in a forward-only ledger, the code could be copied, the dated track record never. It ages in our favor every day.
Every market this large eventually grows a standard. GIPS verifies the process. MIZAN proves the math. Systematic finance is the last $23 trillion holdout, and the cryptography to close it just matured. MIZAN is the rail. Engine live. Product built and tested. Standards get installed once. The window is open now.