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Quant research that stays local.

A desktop app for systematic strategies. Your data, code, backtests and broker connections run and stay on hardware you control, on a Rust core. We never host your research.

The eight stops drawn as one survey sheet, straight from above: decks joined by conduits in pipeline order, the copilot deck third, with thin guard lines to the other stops.

Stop renting your edge.

The whole pipeline, raw file to live order, runs on hardware you control. We never host your research.

Every stage, raw file to live order

  1. Top view of the Acquire and Clean stop: data venues into normalize and the store, with the session tiles.

    01 Acquire · 02 Clean

    Provenance, then quality.

    Source bytes kept as evidence, catalogs content-hashed. Each session flagged causally against a witness instrument; real regimes are labelled, never dropped.

    TARGETS silent data errors

    • tick-exact binary decode, nothing rounded
    • raw source bytes retained as evidence
    • content-hashed catalogs
    • gap test against a witness instrument
    • robust z-scores on prior sessions only
    • bad-print reversal and median-deviation tests
  2. Top view of the Data policies stop: development, validation and holdout tiers, the look ledger and the calendar.

    03 Data policies · 04 Calendars

    No look-ahead by construction.

    Development, validation and holdout pinned to exact sessions on the exchange calendar, embargoed, before the first run. Defect sessions excluded.

    TARGETS look-ahead bias

    • chronological dev / validation / holdout
    • embargo sessions between tiers
    • holdout pinned at registration, never slides
    • defect and holed sessions excluded
    • exchange-native session calendar
    • versioned roll rules for continuous contracts, where they apply
  3. Top view of the copilot platform, its guard ring and research memory, with guard links running along the gutters of the ground to the other stops.

    07 Copilot

    A research partner, bound by quantitative methodology.

    Pre-registration, selection-bias accounting and holdout discipline run on every strategy. The rigour is the default, not a setting.

    TARGETS leakage through the assistant

    • runs on your own AI subscription or a local model, your choice
    • builds, checks and backtests with NERV's own commands
    • designs pre-registered optimizations, not ad-hoc reruns
    • held-out results withheld by default; every read logged
    • can't move the frozen window or spend an OOS look
    • its runs enter the trial register, tagged as copilot
    • validated proposal cards: you Apply, Undo and launch
    • versioned notebook and plan that persist across chats
    • research groups share exact notes between strategies
  4. Top view of the Workspace and Hypothesis stop: two branch rails of commits and the registration block.

    06 Workspace · 08 Hypothesis

    Pre-registration, verified by git.

    Mechanism, kill criteria and the frozen OOS window are committed before the runs they govern. Leakage is counted from commit order.

    TARGETS HARKing and silent re-specification

    • registration committed before the runs
    • kill criteria as metric · operator · value
    • frozen OOS window in the registration
    • registered-after-k and edited-after-m counters
    • every OOS touch logged as a look
  5. Top view of the Backtest stop: commit, data and cost inputs streaming into the Rust core and the run folder.

    09 Backtest

    Event-driven and deterministic.

    Tick-level on the Rust core with explicit fill and fee models. Same selection, same fills; every stochastic statistic seeded.

    TARGETS irreproducible results

    • event-driven, tick-level
    • explicit fill model with adverse-tick slippage
    • versioned per-contract fee profiles
    • every stochastic statistic seeded
    • rerun from a sealed code and data snapshot
  6. Top view of the Statistics and Canary stop: the trial grid, the register and the field of random-entry twins.

    10 Statistics · 13 Canary

    Selection bias, priced in.

    Deflated Sharpe at raw and effective N, BH false-discovery control and PBO via CSCV, all from the actual trial register. Random-entry twins as the null.

    TARGETS selection bias and multiple testing

    • deflated Sharpe at raw, effective and single N
    • effective N by return-correlation clustering
    • Benjamini–Hochberg false-discovery control
    • PBO via CSCV
    • PSR and minimum track-record length
    • stationary block bootstrap
    • Newey–West HAC
    • random-entry null twins, permutation p-value
  7. Top view of the Optimize and Gates stop: the parameter surface with its plateau, the gates and the logs.

    11 Optimize · 12 Gates

    Plateaus over peaks.

    Neighbourhood-median ranking on in-sample results only, walk-forward with embargo. Gates report, nothing auto-rejects, overrides are logged.

    TARGETS overfit parameter peaks

    • plateau ranker: neighbourhood-median objective
    • ranking on in-sample results only
    • rolling or anchored walk-forward, embargoed
    • slippage-stress, one-bar-delay and tick-phase reruns
    • gates report; overrides logged with a reason
  8. Top view of the Deploy stop: the deployment record, the same engine, the session clock and the account pads.

    14 Deployments · 15 Copy trader · 16 Safety

    Research-to-live parity, on every account.

    The validated commit runs live on the same core, flat at every close, and copies across accounts on different broker connections.

    TARGETS research-to-live drift

    • flat at every session close, backtest and live
    • fail-closed reconciliation: missing report ≠ flat
    • the validated commit runs live on the same engine
    • runs on hardware you control
    • every check re-run at every session open
    • built-in copy trader across broker connections
    • per-account size, loss limit, stop and Flatten
    • a refused account is set aside; the rest trade on
    • broker and firm rules stay yours to follow
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