Isard Labs
Technical documentation · Level 3 — Deep
The methods, ladders, risk machinery and governance behind the pipeline — described precisely enough to interrogate, for reviewers who push on every claim.
Most sensitive tier. Strictly confidential.
How to read this tier
Named techniques, ladder structures, signal families, isolation and risk design, and the governance that enforces them. Enough to evaluate the engineering.
Exact gate thresholds, the proprietary research that sets them, specific signal formulas, and live strategy specifications. The discipline is shown; the alpha is not.
The claim being defended here is the rigor, not any single strategy.
01 / 05 · platform
εὕρεσις — “discovery”
Search wide · prune hard
HEURESIS · deep
HEURESIS · containment & autonomy
02 / 05 · platform
ἐπιστήμη — “demonstrable knowledge”
The 13-rung ladder · the gate
EPISTEME · the ladder
1 data quality · 2 causality · 3 costs · 4 signal · 5 walk-forward · 6 statistics · 7 path risk · 8 generalization · 9 adversarial · 10 Monte Carlo · 11 deployment · 12 live-fidelity & 13 forward-stress are always-on hold-outs — their threshold-relative detail is hidden from the author.
EPISTEME · signals
185 primitives across roughly a dozen families, each implemented causality-first rather than pulled from a generic technical-analysis package.
Selection is three-stage: domain pre-filtering, then false-discovery-rate control across many tests, then a fresh-data holdout — so a feature can’t survive on multiple-testing luck.
EPISTEME · statistics & path risk
EPISTEME · adversarial & Monte Carlo
Signal-validity attacks (reverse the direction, shuffle the labels, ablate features), edge-fragility attacks (slippage sweeps, signal-freshness decay), and structural stress.
Geometric Brownian motion, Merton jump-diffusion for fat-tailed crises and a GARCH overlay for volatility clustering — run over a volatility×regime scenario grid.
Each subtest returns machine-readable diagnostics, so discovery can learn from how a candidate failed.
EPISTEME · generalization & lifecycle
EPISTEME · the agent & governance
03 / 05 · platform
καιρός — “the opportune moment”
Regime validation
optional · elective per strategyKAIROS · the optional fork
HEURESIS authors the classifier; KAIROS validates it (“Path B”). KAIROS does not classify regimes itself — it proves a model does, then lends the blessed labels to whoever wants them.
KAIROS · doctrine
KAIROS · models & extensibility
04 / 05 · platform
πρᾶξις — “putting into practice”
Risk machinery · live execution
PRAXIS · the circuit breaker
Layer 1 scales exposure down a ramp as drawdown grows (warn → kill, then cooldown). Layer 2 fits a generalized Pareto tail to recent losses to size the stop for the 6-plus-sigma moves crypto actually makes. Both checkpoint to disk and survive a restart.
PRAXIS · reconciliation & isolation
Plus six-layer per-strategy isolation — separate module namespace, exception wrapping, state directory, capital cap, risk envelope and audit trail — so one strategy’s failure halts only itself.
05 / 05 · platform
ἀγορά — “the public marketplace”
The contract, mechanised
AGORA · deep
AGORA · governance & safety
The ecosystem, in motion
Releases are coordinated across platforms through dated hand-offs and a packet broker, with rapid consumer-feedback cycles — the architecture is exercised continuously, not just at design time.
Plain-language glossary
The standard
Search like a lab; reject like a fund — enforced, end to end, in software that can prove what it did. Questions are welcome; that is rather the point.
Confidential — most sensitive tier. Do not distribute. · Figures describe engineering footprint, not investment performance.