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Wickra Verify

Verify any backtest. Hand over a (strategy, data, claimed report) triple and get a deterministic verdict — confirmed or refuted — that anyone can recompute in ten languages.

Part of the Wickra ecosystem. Built on the same deterministic backtest engine and ten-language binding surface as wickra-backtest, wickra-proof and the rest.

wickra-verify takes a claim — a strategy spec, the candle data it was run over, and the BacktestReport someone says that run produced — and recomputes the report with the pinned wickra-backtest engine. It then compares the claimed report against the fresh one, field by field, within an explicit tolerance, and returns a verdict: matches: true if every metric agrees, or a stable, sorted list of the exact mismatches if not.

It is a free anti-fraud tool against doctored backtests — not a hosted service, not a SaaS, not a backend. A CLI plus ten language bindings, and an optional static in-browser WASM demo. Nothing you submit ever leaves your machine.

use wickra_verify_core::{verify, Claim, DatasetRef};

// A claim is the strategy, the candles it ran over, and the report someone
// says that run produced. `verify` recomputes the report and compares.
let claim = Claim {
    strategy: strategy_json,
    dataset_ref: DatasetRef::Inline { data: candles_by_symbol.clone() },
    claimed_report: claimed_report_json,
};
let verdict = verify(&claim, &candles_by_symbol)?;

// `matches` is the whole answer; `mismatches` names every field that differs.
// The same triple yields the same verdict in all ten languages, byte for byte.
assert!(!verdict.matches);
assert_eq!(verdict.mismatches[0].field, "fees_paid");

The same call from the command line, against the doctored claim shipped in examples/data (exit 2 = refuted, which is what a CI gate wants):

cargo run -p wickra-verify -- \
  --claim examples/data/claims/fudged.json \
  --data examples/data/candles

Determinism is the product

• Recompute, never trust — the verdict comes from re-running the backtest, not from comparing two supplied numbers. A fudged Sharpe, an inflated PnL, a quietly-changed parameter all surface as a concrete mismatch.
• Explicit tolerance — floats are compared within a fixed atol + rtol·max(|a|,|b|) tolerance (the numpy.allclose rule), never bitwise, so legitimate last-ULP noise never causes a false refutal.
• Stable, sorted mismatches — the mismatch list is ordered by field, so the verdict is byte-identical across all ten languages.
• Canonical hashes — every verdict carries the blake3 hashes of the claimed report, the recomputed report and the full inputs, under the same canonicalization wickra-proof uses; a verdict's inputs_hash equals the proof hash of the same inputs.

Status

Pre-release — functionally complete, CI-verified, not yet published. The core, the CLI, all ten language bindings, the byte-exact golden corpus, the property + fuzz suites, the benchmarks and one runnable example per language are built and green across Linux, macOS and Windows. Packages are not yet on the registries. Track progress in ROADMAP.md.

Documentation

• docs/ARCHITECTURE.md — how the pieces fit together.
• docs/CLAIM_FORMAT.md — the Claim and its embedded StrategySpec / BacktestReport.
• docs/VERDICT.md — the Verdict, mismatches and tolerance.
• docs/CANONICALIZATION.md — the hashing contract shared with wickra-proof.
• docs/DETERMINISM.md — why the verdict is identical everywhere.
• docs/Cookbook.md — recipes, including "gate a claim in CI: exit 2 = fraud".

Quickstart

--claim is a JSON/TOML Claim; --data a CSV or a directory of <SYMBOL>.csv files (omit --data when the claim carries its candles inline). Exit 0 = verified, 2 = refuted (CI-friendly), 1 = error; --explain renders the mismatches and forces exit 0.

The example claim inflates fees_paid, so the verdict is refuted and names the fees_paid mismatch — a fabricated number cannot pass a recomputation.

Claim format

A claim is the assertion to be checked — "this strategy on this data produced this report":

• strategy — the embedded wickra-backtest StrategySpec (indicators, entry/exit rules, sizing, costs, risk).
• dataset_ref — where the candles come from: inline (embedded per symbol, fully self-contained) or files (named symbols resolved out of band).
• claimed_report — the BacktestReport the claimant asserts this run produced. Untrusted: verification recomputes and compares, so a doctored claimed_report cannot pass.

Full schema in docs/CLAIM_FORMAT.md.

Verdict and tolerance

verify returns a Verdict:

• matches — true iff every compared field agrees within tolerance.
• mismatches — a field-sorted list of {field, claimed, actual, delta}.
• claimed_report_hash / actual_report_hash / inputs_hash — 64-hex blake3 digests over the canonical forms.
• engine_version — the wickra-backtest version the verdict was reached under.

Two floats count as equal when |a − b| ≤ atol + rtol·max(|a|,|b|), with tight defaults (atol = 1e-9, rtol = 1e-6) that absorb last-bit float noise and nothing more. See docs/VERDICT.md.

Canonicalization and hashing

The hashes are only as trustworthy as the serialization they run over, so canonicalization is byte-for-byte the contract wickra-proof uses (see crates/wickra-verify-core/src/canon.rs): keys sorted by code point, no structural whitespace, floats quantized to 1e-8 with trailing zeros trimmed and whole values collapsed to integers, no NaN/±inf. blake3 over that canonical string yields each 64-hex hash. A verdict's inputs_hash therefore equals the wickra-proof hash of the same inputs — the two products share one determinism moat. See docs/CANONICALIZATION.md.

Anti-fraud use in CI

Because a refuted claim exits 2, verification drops straight into a pipeline:

# Fails the job (exit 2) if the committed report does not match a fresh run.
wickra-verify --claim claim.json --data candles/

Wire this into a strategy repo's CI and a doctored claimed_report can never be merged — the recomputation is the gate. Recipes in docs/Cookbook.md.

Use in any language

The core is a JSON-over-C-ABI data API (Verifier::command) exposed natively in Rust, Python, Node.js and WASM, and over the C ABI hub in C, C++, C#, Go, Java and R. Every binding drives the same verify / explain / canonicalize / version commands and returns the core's canonical response verbatim; the cross-language golden tests assert byte-for-byte equality. One runnable example per language lives under examples/; per-binding quickstarts are in each bindings/<lang>/README.md.

Language	Binding	Package
Rust	wickra-verify-core (native)	crates.io
Python	PyO3 (native)	PyPI
Node.js	napi (native)	npm
WASM	wasm-bindgen (native)	npm
C / C++	C ABI	header + library
C#	C ABI (P/Invoke)	NuGet
Go	C ABI (cgo)	Go module
Java	C ABI (FFM/Panama)	Maven
R	C ABI (.Call)	R-universe

Project layout

crates/wickra-verify-core          the library: claim + compare + canonicalize + verify
crates/wickra-verify-cli    reference CLI (verify), binary `wickra-verify`
crates/verify-bench         Criterion benchmarks
bindings/{c,python,node,wasm,go,csharp,java,r}   ten-language surface
golden/                     fixed claims -> expected verdicts (byte-exact)
examples/                   runnable per-language demos + static web demo
fuzz/                       cargo-fuzz targets (claim parse, compare, canonicalize, verify)

Building everything from source

cargo build --workspace
cargo test --workspace --all-features

Each binding builds with its own toolchain; see bindings/<lang>/README.md. The C-ABI consumers (C/C++, C#, Go, Java, R) need the C ABI library first: cargo build --release -p wickra-verify-c.

Testing

Run the suites with the commands in Building everything from source.

• wickra-verify-core — unit tests for canonicalization (key ordering, float quantization, whitespace), the verify/round-trip path, tamper detection, and the engine-version pin. The golden fixtures in golden/ are the anchor: the same (spec, data) pair must fold to the same canonical bytes and the same blake3 hash here as in every binding.
• Every binding asserts the same golden bytes. That is the whole cross-language claim, so it is checked the same way in each one rather than approximated per language: Python with pytest, Node with node --test, WASM with wasm-bindgen-test, C and C++ through ctest, C# with dotnet test, Go with go test, Java with JUnit, and R with the shipped tests/smoke.R plus the repository-level tests/run_tests.R.
• fuzz/ — libfuzzer targets over the JSON boundary, run as a time-boxed smoke in CI. The goal is catching a regression in the harness, not discovering novel bugs; long campaigns belong on dedicated infrastructure.
• Repository checks — scripts/check_version_sync.py, check_license_copies.py and check_readme_links.py run in CI and assert what the repository ships rather than what it computes.

Requirements

Rust 1.86 (workspace) / 1.88 (Node binding). Per-binding toolchains: Python 3.9+, Node.js 22+, .NET 8, JDK 22+, Go 1.23+, R ≥ 2.10, and a C11/C++14 compiler with CMake for the C example.

Benchmarks

Criterion benchmarks for verify, compare and canonicalize live in crates/verify-bench; numbers and methodology are in BENCHMARKS.md.

Ecosystem

Part of the Wickra family — each one a data-driven core with a CLI and the same ten-language binding surface:

• wickra — main library (Rust core + Python / Node.js / WASM bindings + a C ABI for C / C++ / C# / Go / Java / R)
• wickra-playground — a polyglot strategy playground: one StrategySpec live side by side in Python, Rust, JS and Go, entirely in the browser
• wickra-exchange — unified market-data + execution across ten crypto exchanges
• wickra-backtest — event-driven backtester over the Wickra core
• wickra-terminal — the trading terminal: a TUI and a browser renderer over the stack
• wickra-screener — parallel multi-symbol screening over 514 streaming indicators
• wickra-radar — perp-universe alert radar: OI delta, funding flip, book imbalance, liquidation clusters, OI/price divergence
• wickra-copilot — local market copilot grounded in real order-book, liquidation and funding microstructure
• wickra-shazam — match an asset's current microstructure fingerprint against its entire history
• wickra-benchmark — reproducible, golden-verified benchmark suite — recompute any (strategy, dataset, report) in ten languages and confirm it byte-for-byte
• wickra-strategy-ci — Jest for trading strategies: golden-pin the report, catch regressions in CI, property-test against fuzzed data
• wickra-verify — confirm or refute a claimed backtest report against its strategy and data, in ten languages
• wickra-proof — Proof-of-Backtest: deterministic (spec, data) → report + blake3 hash, recomputable byte-for-byte in ten languages
• wickra-zk — prove a backtest zero-knowledge — on-chain-verifiable performance without revealing the data or the strategy
• wickra-impact — the backtester that knows you would have moved the market: agent-based fills on the real historical L2 order book
• wickra-darwin — evolutionary strategy search at millions of backtests per second, mutating and crossing JSON specs across the 514-indicator space
• wickra-gym — a Gymnasium-compatible, microstructure-aware backtest environment with O(1) steps for deterministic RL rollouts
• wickra-feature-store — OHLCV and microstructure streams into ML-ready feature matrices over 514 O(1) streaming indicators
• wickra-genome — a vector database of the whole market: every asset a 514-dim live vector, for similarity search, clustering and anomaly detection
• wickra-timemachine — scrub the whole market like a video — every symbol, full order book, rewound to any moment via deterministic re-fold
• wickra-synth — deterministic synthetic market microstructure: OHLCV, order book, trades and funding from a single seed
• wickra-compile — compile a strategy spec into a standalone deployable: a WASM module, a self-contained binary, or a no_std artifact
• wickra-embed — allocation-free, no_std streaming indicators for bare-metal and HFT, byte-for-byte identical to the core
• wickra-pico — the O(1) indicator core running bare-metal on a $5 Raspberry Pi Pico — the LED blinks on the EMA cross

Docs at docs.wickra.org; the marketing site and in-browser demo at wickra.org.

Contributing

See CONTRIBUTING.md and the Code of Conduct. Every change runs the full CI matrix (all ten languages × three OSes) plus CodeQL, Scorecard and zizmor.

Security

Report vulnerabilities per SECURITY.md. The threat model is in THREAT_MODEL.md.

License

Dual-licensed under either MIT or Apache-2.0, at your option.

Disclaimer

wickra-verify is research and engineering tooling, not financial advice. A verdict attests only that a claimed report is (or is not) the deterministic result of a given strategy over given data — it makes no claim about the quality, profitability or future performance of any strategy, nor about whether the data itself is genuine. Trading carries risk; you are responsible for your own decisions. wickra-verify is free software you run yourself: no hosted service, no data collection, no warranty.

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