GKQUANT STUDIO

> From signal to fill, every step on the record.

Not another backtest story โ€” a quant infrastructure that actually runs. From market perception and strategy research to risk orchestration and real broker execution, every step is traceable. Signals are suggestions; survival is mandatory.

STRATEGY: ONLINE
LATENCY: 1.2MS
SYSTEM_STABLE_V2.0

Four Capability Pillars

From spotting an opportunity to placing the trade, every layer has boundaries โ€” and evidence.

Perceive: The Market Never Sleeps

Macro regime, live market boards, options and alternative data converge in real time, driven by a rule engine that runs 7x24 โ€” the system stays on even when you're not at the desk.

Pillar ยท perceive

Decide: A Production-Grade Research Engine

Data ingestion, factor research, multi-strategy backtesting, and screening keep evolving across 20+ modules, fed only by real market data โ€” never fabricated.

Pillar ยท decide

Act: An Order Loop That Actually Lands

Once a signal fires, account sync and risk checks run automatically, then it's routed straight into a real broker client to place the order โ€” results write back the same path. Not a diagram; a pipeline that runs every day.

Pillar ยท act

Govern: Contract-First, Fully Auditable

Assets, signals, risk, and events all move through versioned contracts โ€” every decision and every fill leaves a traceable event record.

Pillar ยท govern

The system evolves across six independent modules, but the contracts stay stable and never quietly drift.

Not an Architecture Diagram โ€” a Pipeline That Runs Every Day

From the moment a signal is born to the moment it becomes a real fill, there's no gap and no black box.

01

Perceive

A 7x24 resident rule engine scans macro and market context to surface candidate signals

02

Research

Factor and strategy engines backtest and validate, filtering down to actionable calls

03

Orchestrate

Signals and risk rules are validated against unified contracts to generate execution orders

04

Execute

Automation connects directly to a real broker client to sync accounts and place orders

05

Record

Fill results write back the same path โ€” every event stays on the record and replayable

Every step is a real service running 7x24 โ€” not a concept sketch.

Unified Contract Definition

Not a promise written in a doc โ€” a rule enforced at runtime. That's why every execution can be replayed.

signal_v1.json
{
  "version": "1.0.0",
  "system": "GKQuantForge",
  "type": "SIGNAL",
  "payload": {
    "asset": "BTC/USDT",
    "direction": "LONG",
    "strength": 0.85,
    "timestamp": "2024-03-20T10:00:00Z"
  },
  "signature": "sha256:..."
}

Backtests You Can See, Returns You Can Re-derive

Strategy performance is always framed by risk state and event records โ€” returns are never shown apart from their constraints.

Backtest Trajectory

Return Comparison

42.8%
Annual Return
8.2%
Max Drawdown
1.85
Sharpe Ratio
73.5%
Win Rate

Why Trust GKQuantStudio

One person can still hold institutional-grade engineering discipline โ€” survival first, contracts first, everything on the record.

Engineering discipline, not marketing copy

Separation of Concerns, No Overreach

Perception never touches positions, research never places orders, execution never touches strategy โ€” six modules, each in its lane. Crossing the line is a design bug, not a feature.

Survival Before Returns

Risk rules are code and runtime state โ€” queryable, and able to force-intervene. No strategy can bypass risk control to place an order directly.

Contract-First, No Verbal Agreements

Assets, signals, risk, and events all move through versioned schemas โ€” interface changes go through contract review before they ever ship.

Implementation

๐Ÿ

Python

Strategy research & backend services

โšก

Vue 3

Shared frontend framework across all six modules

๐Ÿ”Œ

FastAPI

Contracts and data services

๐Ÿš€

Astro

Structured information delivery

๐ŸŽจ

TailwindCSS

Consistent, readable UI

โš›๏ธ

React

This page's interactive charts

Long-term Evolution

We iterate without breaking contracts, favoring slow correctness over fast mistakes.

Want to see for yourself
how a signal becomes a fill?

Inspect the real, running contract definitions โ€” or request studio access to experience the full loop from perception to execution.

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