Proprietary quantitative technology

ROXIQ Trading Engines

Developed by Branik Design

AI-powered quantitative trading strategy engines.

We build proprietary AI quantitative engines designed to identify, validate and exploit specific market opportunities.

The only result that matters: measurable trading profits.

Quantitative Logic
AI Reasoning
Market Data
Fundamental Context
Live Validation

One strategy.
One focused engine.

ROXIQ develops specialized quantitative engines rather than one universal trading algorithm. Each engine is built around a distinct market behavior, with its own logic, data requirements and decision framework.

A focused engine can be tested precisely, improved systematically and judged by measurable market outcomes.
01Market Opportunity
02Strategy Data
03Proprietary Logic
04Contextual Intelligence
05ROXIQ Decision
Engine 01 / Intraday strategy

ROXIQ Intraday Dips

Detecting potential rebound opportunities after excessive intraday price declines.

Live engine / Active validation
01

The engine operates in live market conditions. It evaluates the cause, scale and context of a decline, then produces a structured trading decision when predefined conditions are satisfied. ROXIQ traders use these decisions while every signal and outcome is measured.

01Intraday Dip
02Catalyst Analysis
03Fundamental Context
04Overreaction Assessment
05Rebound Assessment
06Trading Decision
Engine 02 / Decision intelligence

ROXIQ Decision Support

A structured stock analysis engine built to strengthen the decision before the trade.

Live engine
02

ROXIQ Decision Support Engine analyzes a stock before a decision is made. It combines company fundamentals, earnings expectations, selloff catalysts, market behavior, stabilization signals and forward risks to determine whether a decline reflects real fundamental damage or a potential market overreaction.

01Company Fundamentals
02Earnings Expectations
03Selloff Catalyst
04Market Behavior
05Forward Risk Map
06Decision-Support View

Performance should be proven, not promised.

ROXIQ validates its models prospectively. Each qualifying decision is captured at the moment it is generated, connected to the market path that follows and evaluated through a consistent measurement framework.

Relevant IBKR execution records add real-market evidence that decisions existed, were actionable and could be executed.

Evidence layer 01Decision record

Timestamp, market price, engine state and structured output at the point of decision.

Evidence layer 02Forward market path

Returns, MFE, MAE, rebound behavior and time-based outcomes measured after the signal.

Evidence layer 03Execution evidence

Relevant IBKR activity connects model output with actual trading conditions.

Forward ReturnsHit RateMFEMAETime to OutcomeSample Size
From engine to asset

An engine becomes valuable when it makes money — and proves it.

ROXIQ engines are used in live market conditions while their decision history and outcomes are measured. Verified engine-level statistics will be published only when each sample reaches the required standard.

Live measurement in progressNo performance figures are estimated, invented or backfilled.

The technology is the foundation. The asset is the complete, repeatable system behind a measurable trading edge.

Quantitative StrategySource CodeAI Decision ArchitectureProprietary LogicMarket DataExecution InfrastructureKnow-HowTimestamped Decision HistoryLive Track Record

Build the edge first. Decide how to monetize it second.

ROXIQ's primary objective is to develop profitable proprietary trading technology. The economic model depends on the strength, durability and scalability of each engine's edge.

Proprietary Trading
External Capital
Strategic Partnerships
Institutional Licensing
Revenue / Profit Share
Engine Transactions
Find the edge.Engineer the edge.Prove the edge.Deploy the edge.

Technology matters. Profitable live performance matters most.