Smarter Investing, Powered by AI.

Solutions We Deliver

A high-level overview of WealthSpot’s core AI-powered investment capabilities, categorized into three solution pillars

Asset Allocation

AI-driven strategic, tactical asset allocation and risk on/off signals to balance risk and maximize returns

Fixed Income

AI-driven region, credit, and duration selection for better yield and risk management

Equity

AI-driven stock and theme selection with market timing for smarter equity investments.

Strategic and Tactical Asset Allocation Powered by AI

• AI-driven dynamic allocation across global asset classes
• Risk-on/risk-off regime detection for proactive portfolio shifts
• Optimized for long-term growth and downside protection

Model Examples

• AI Global Momentum
• AI Long Term Asset Allocation
• AI Regime Model

Related Products

• Mirae Asset AI Global Momentum
• KRX Robo Advisor Testbed
• Mirae Asset Life AI MVP

Model Example

AI Asset Allocation: Transformer based Asset Allocation

Objective : Allocate weights to given asset universe based on the transformer architecture

• An end-to-end deep learning architecture utilizing multiple transformers handles the given asset universe’s timeseries and various market data to predict target asset allocation scores or weights.
• Strategy Information leverages the token concept of LLMs to embed the context of prediction targets, enabling a single model to effectively learn multiple strategies and seamlessly expand into various universes.

Smarter Yield Optimization with AI

• Region-based, credit quality, and duration-sensitive bond selection
• AI models analyze global bond dynamics for superior risk-adjusted returns
• Integrates macroeconomic signals and credit risk models

Model Examples

• AI Global Bond Allocation
• AI US Corporate Bond Selection

Related Products

• Mirae Asset Global Dynamic Sleeves
• Mirae Asset AI Quant US Investment Grade Bond

Model Example

Fixed Income: US Corporate Selection

Objective: Forecast the future relative performance ranking of individual bonds within sub-universes

• Each of the two core security selection models provides a list of securities in the order of relative performance probability.
• Employing two independent models that differ in style can result in highly uncorrelated excess returns that reduce T.E.

Risk

Duration

Credit

Curve

Volatility

Tradability

Human Discretion (Market Expertise)

Cuant Factor - Model

Recommendation based on:

Fundamental Factor/Styles that are evidenced to have explicability over future performance at security level

Securities with the highest average Style score are deemed best fit

AI DNN - Model

Recommendation based on:

Lasting relationship between macro & economic indicators,
broad asset prices, market movements, security level price analytics, and issuer fundamentals,
learned by Deep Neural Net over considerably long period.

AI-Driven Stock Selection, Factor Generation & Thematic Rotation

• Country- and sector-specific stock selection
• AI-powered theme detection and rotation
• Factor-based strategies for alpha generation

Model Examples

• AI Stock Selection
• AI Factor Generation
• AI Theme Rotation

Related Products

• Mirae Asset Life AI MVP
• Mirae Asset Growth Theme Rebalancing
• Mirae Asset AI US NASDAQ
• TIGER AI Korea Growth Active

Model Example

Equity: AI Stock Selection

Objective : Forecast the future relative performance ranking of an individual stock

• Each of the two core security selection models provides a list of securities in the order of relative performance probability.
• Employing two independent models that differ in style can result in highly uncorrelated excess returns that reduce T.E.

• AI model trained with financial data that is updated quarterly
• The model generates ‘factor models’ that have a high correlation with relative returns
•The goal is to find meaningful relationships in stock returns from a long-term perspective

• AI model trained with daily updated market data such as prices and trading volumes
• Recommends stocks expected to have high relative returns
• The goal is to reflect the changing market conditions

AI-Driven Solutions Framework

WealthSpot’s AI system is modular, flexible, and built to scale across market conditions and investor objectives.

Model as a Building Block
Each AI model serves as a foundational block, customizable for asset managers, institutional clients, and product development.
Theory Meets Practice
Our models are grounded in academic research and fine-tuned through real-world application by seasoned investment professionals.
Human + Machine Synergy
All AI outcomes are validated and enhanced by our portfolio managers and traders to ensure optimal investment decisions.

Comprehensive Solution Matrix

Area	Investment Universe	Model	Related Product
Equity	Country Equity ETFs	AI Stock Selection	Mirae Asset Life AI MVP
	Thematic Equity ETFs	AI Theme Rotation	Mirae Asset Growth Theme Rebalancing
	US Equity	AI Stock Selection	Mirae Asset AI US NASDAQ
	US Equity	AI Factor Generation	Mirae Asset AI US NASDAQ
Equity	Korean Equity	AI Stock Selection	TIGER AI Korea Growth Active
Fixed Income	Global Bond	AI Global Bond Allocation	Mirae Asset Global Dynamic Sleeves
Fixed Income	US Corporate Bond	AI US Corporate Bond Selection	Mirae Asset AI Quant US Investment Grade Bond
Asset Allocation	Multi Asset	AI Global Momentum	Mirae Asset AI Global Momentum
	Multi Asset	AI Long Term Asset Allocation	KRX Robo Advisor Testbed
	-	AI Regime Model	Mirae Asset Life AI MVP