Bem vindo ao futuro da IA × Finanças

Na era do desenvolvimento rápido da IA, o setor financeiro está a vivenciar uma profunda transformação. Estamos empenhados em criar um sistema de consultoria de investimentos inteligente, utilizando modelos quantitativos e mecanismos de controlo de risco, para fornecer aos usuários apoio em decisões de investimento de forma científica, objetiva e personalizada, tornando o complexo mercado financeiro mais transparente, eficiente e controlável

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Company Introduction

Our story began at Stanford University

Our story began at Stanford University

where co-founders Baiju and Vlad were roommates and classmates. After graduation, they packed their bags and headed to New York City, where they founded two financial firms and sold their trading software to hedge funds. There, they discovered that large Wall Street companies paid almost nothing to trade stocks, while most investors were charged commissions per trade. Determined to change this, they returned to California to build a financial product that would give everyone—not just the wealthy—access to financial markets.

We are now bringing this low-commission trading model to the world, committed to enabling every investor to enjoy near-zero commission trading. Currently, we are entering the Indonesian market...

AI in Healthcare

Core Team

The talented individuals who make our AI innovations possible.

Dr. Daniel Hidayat

Head of Market Strategy Research, APAC

Dr. Daniel Hidayat has extensive experience in financial market research and data-driven model development. He has been actively involved in the design and optimization of AI-assisted decision-making systems, with a long-term focus on market structure and cross-regional investment dynamics.
Core Expertise
Regional asset allocation across Asia-Pacific markets
(Indonesia, Malaysia, Singapore, Thailand, etc.)
Active investment strategies and portfolio construction
Risk management and market cycle analysis
AI & Quantitative Research Focus
His research in AI-driven decision systems primarily covers:
Market structure analysis and trend identification
Multi-factor strategy modeling
Design, optimization, and iteration of AI-assisted decision-making systems
Research Perspective
With a cross-market analytical approach, his work integrates traditional financial research with data-driven methodologies, aiming to enhance decision-making efficiency and improve the understanding of evolving market structures
AI in Healthcare

Market Insight AI

Market Insight AI is a multi-layered decision support system designed to: Identify market structure Optimize trading rhythm Strengthen risk control System Architecture Four-Layer Framework
Data Layer → Analysis Layer → Decision Layer → Risk Control Layer

AI Technology Innovation

Data Layer

Data Sources Market price Trading volume Volatility Macro data Market sentiment Purpose: Provide comprehensive and structured input data for downstream analysis.

Analysis Layer

Core Modules (4 Key Functions) Determine market direction Identify valid trends Detect overbought / oversold conditions Capture short-term reversal signals Analytical Dimensions Fundamentals Technical analysis Momentum News flow Social media sentiment Purpose: Transform raw data into structured market insights

Decision Layer

Core Functions Evaluate entry opportunities Assess holding validity Define exit conditions Decision Outputs Entry Hold Exit Purpose: Convert analysis into actionable trading decisions.

Risk Control Layer

Risk Management Functions Position sizing control Risk exposure limitation Prevention of consecutive losses Purpose: Ensure stability and consistency of the overall strategy

Market Insight AI integrates data processing, market analysis, decision-making, and risk control into a unified framework, aiming to improve trading discipline and enhance decision quality.