CORE INTELLIGENCE

From information to considered action.

Prices, transactions, events and sentiment form an evolving field of observation. Quantitative methods connect these inputs, grounding decisions in research and action in discipline.

  1. 01

    Data

    Define sources, timestamps and meanings to build a multidimensional view.

  2. 02

    Analysis

    Connect information through models and examine potential relationships.

  3. 03

    Signals

    Compare candidate signals and assess their conditions and evidence.

  4. 04

    Risk

    Consider exposure, liquidity and execution conditions within decision boundaries.

  5. 05

    Execution

    Submit and track orders within established constraints.

  6. 06

    Feedback

    Review decisions and execution to inform the next round of research.

A conceptual view of a quantitative process.

CORE CAPABILITIES

An integrated capability, from information to execution.

AI Quant connects data processing, strategy research, model collaboration and risk management within an ongoing process, supporting global markets through multidimensional information and layered decisions.

AI data models

Identify useful information within raw data

Models read structured prices, transactions and order books alongside unstructured news, research, policy and sentiment, helping identify relationships beyond conventional data dimensions.

DATA INTELLIGENCE

Global EA strategy library

Connect individual strategies into a coordinated framework

Strategies with different logic, horizons and market conditions form an adaptive EA framework, with allocations evaluated against market states and risk constraints.

STRATEGY LIBRARY

Global events & macro intelligence

Translate market events into structured signals

Natural language processing and language models interpret news, earnings, policy and international events, helping identify sentiment changes and potential market implications.

EVENT INTELLIGENCE

Multi-agent decision-making

Let different models validate one another

Agents for news, technical analysis, strategy allocation and risk control contribute specialized perspectives. Layered assessment, model voting and confidence evaluation support coordinated decisions.

MULTI-AGENT DECISION

STRATEGY PERSPECTIVES

Different ways to study a changing market.

These are general quantitative research concepts. Their implementation and applicability depend on the system and market.

Trend following

Observe persistence and changes in direction across time horizons.

Mean reversion

Examine changes after prices or relationships diverge from a reference state.

Statistical arbitrage

Study relative relationships between associated assets.

Event driven

Examine how news, policy and other events change market conditions.