PRIVATE BETA ↗

Technology

A controlled pipeline for historical tick data integrity.

TickArk treats tick history as a repository with observable state—not as an anonymous file. Acquisition, verification, targeted recovery, normalization and export form one traceable workflow.

END-TO-END WORKFLOW

From historical source data to platform-ready output.

Each stage answers a different operational question: what is available, what is local, what is incomplete, what can be recovered and what is ready to export.

01

Dukascopy/JForex data

Historical source data enters a date-range-aware acquisition workflow.

02

TickArk acquisition engine

Selected instruments and periods are downloaded or updated into a UTC-based local repository.

03

Integrity verification

Source availability, local coverage, gaps, package state and detected problems remain visible.

04

Automated repair / retry

Unverified hours and selected recoverable problems can be retried without blindly replacing the repository.

05

Normalization

Source records are prepared in a consistent internal representation for downstream processing.

06

Platform export

Verified repository data is mapped and packaged for supported platform workflows.

Repository awareness

Know what exists locally.

Compare source availability with local coverage, data size, gap duration, problem counts and current verification status before taking action.

Integrity signals

Find incomplete periods early.

Verification is designed to surface detectable gaps and repository problems before the data is sent into a research or backtesting workflow.

Targeted recovery

Repair with context.

Retry unverified hours or selected problems against known date ranges. Keep valid history outside the chosen operation in place.

VERIFICATION IN PRACTICE

Operational controls, not a black box.

The repository exposes a full JForex check, targeted retries for unverified hours and repair actions for selected problems. Local intervals and active jobs can be inspected from the same workspace.

Integrity checks identify detectable acquisition and repository issues. They do not guarantee future performance or the economic validity of any trading model.

TickArk repository service tools for full checks, retry and repair
Repository service toolsTickArk v0.16.2

WHY THE PIPELINE MATTERS

Integrity is a process, not a file label.

Acquisition can fail partially.

Long date ranges contain many smaller retrieval units. Network interruptions, unavailable source periods or incomplete packages can leave a repository looking present while still requiring attention.

Coverage needs context.

TickArk keeps source availability and local coverage visible together. That distinction helps separate a missing local interval from a period that is not available from the source.

Export comes after inspection.

Normalization and platform mapping are downstream steps. The repository remains the controlled foundation, so the same verified history can support evolving export targets.

Guide 01Historical tick data managementAcquisition, coverage and repair ↗Guide 02Dukascopy / JForex data workflowHow TickArk works with the source ↗Guide 03MetaTrader 5 tick data exportProfiles, mapping and packages ↗

PRIVATE BETA

Start with data
you can trust.

Join the private beta interest list. Share the instruments and workflow that matter to you, and we'll contact you when a suitable opportunity becomes available.

Join the Private Beta ↗