Abstract market data pattern

GO NI O UP

Where frame-rates meet tick-rates.

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Based in Bristol, United Kingdom

Dual-Market Interface

Toggle between development and trading perspectives to unlock contextual tooling.

Neon outlines, frame-based metrics
Amber accents, tick-based flows

Gonioup Field Guide

Gonioup operates at the intersection of high-frequency rendering and market microstructure. The core concept involves aligning visual frame generation cycles with financial data tick updates. This creates a unified telemetry layer where both systems share the same temporal reference point.

By standardising the update loop, we eliminate desynchronisation artifacts that typically plague real-time visualisations. This approach is particularly effective for algorithmic trading dashboards and game engine telemetry monitors.

Decision Criteria

  • Latency Budget: Determine if your pipeline can sustain sub-16ms render cycles alongside data ingestion.
  • Data Granularity: Assess whether tick-level resolution is required, or if candlestick aggregation suffices.
  • Visual Fidelity: Balance between high-density particle systems and clean, readable data overlays.

How It Works (Step-by-step)

1

Define Goal

Identify specific metrics: latency, throughput, or visual clarity. Set hard constraints for your environment.

2

Choose Approach

Select the sync model: locked-step, async buffer, or hybrid. Validate against your data source.

3

Apply Method

Implement with a simple input stream. Example: 60 FPS render feeding from 50ms tick source.

4

Review Results

Measure actual vs. expected. Adjust buffer sizes or frame pacing. Plan next iteration.

Visual Spotlight: The Sync Layer

It captures incoming ticks, buffers them according to your configured delay, and releases them precisely at frame boundaries. This eliminates the jitter that occurs when data arrives mid-frame.

  • Deterministic timing across all visual elements
  • Sub-millisecond precision for high-speed feeds
  • Configurable buffer depths for network resilience
Explore Visual Engine
Sync layer diagram
VISUAL REPRESENTATION

Live synchronization demonstration placeholder

Signals of Trust & Quality

Benchmark Performance

Internal testing on a 2023 workstation showed consistent 0.016ms frame sync alignment over a 24-hour period with simulated high-frequency data.

  • Zero frame drops observed
  • Memory usage stable at 142MB
  • CPU load: 12% average

Scenario-Based Example

A beta user monitoring crypto pairs reported improved decision speed. "Visual confirmation of tick data arriving exactly on render frame helped filter noise," they noted.

Example scenario for illustrative purposes only.

Architecture & Privacy

Built with a privacy-first stance. Local processing where possible. No telemetry sent without explicit opt-in.

Company: Gonioup

Coventry Street 340, Bristol, United Kingdom • +44 7882540314 • info@gonioup.com

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