Professor LEON & MYQuant AI: Finance AI Built for Live Markets
Singapore, September 13, 2025 - AI has advanced fast, but markets still reward those who read behavior, structure, and capital flows with precision. Professor Leon Lee Cheng Wei (LEON) - Ph.D. in Economics, former Senior Strategy Advisor at a major Asian institution, and Co-Founder of the Asia-Pacific FinTech Think Tank - set a clear objective: build an AI that can converse, trade, forecast, and stand beside investors.
His take is direct: "Markets are not inefficient, but human nature is the ultimate variable." MYQuant AI applies that lens at scale.
From Research to Live Execution
- LEON's work in behavioral finance and asset pricing led to a core insight: investor biases move prices, often more than models suggest.
- On Wall Street and the Singapore Exchange, he saw algorithmic trading surge while many investors lacked rational tools to keep pace.
- Back in Malaysia, he committed to building practical AI for finance teams. That decision produced MYQuant AI.
Why a Specialized Finance AI
General models like GPT or DeepSeek are broad. MYQuant AI is focused on finance workflows and decisions.
- Reads macro and market data while factoring in behavioral biases specific to Asia-Pacific markets.
- Goes beyond text output to simulate decisions and optimize strategies during live trading conditions.
- Acts as a coach and companion for investors, not just a Q&A system.
As LEON puts it: "The future of financial AI is not about answering questions, but about growing alongside investors."
The Operating Playbook
- Behavioral Finance + Machine Learning: Reconstructs the "noise of human nature" behind market moves and turns it into signals.
- Quantitative Models + AI Decision-Making: Converts complex trading logic into executable strategies with feedback loops.
- Local Markets + Global Vision: Connects Malaysia and Southeast Asia investment culture with global capital dynamics.
Practical Use Cases for Finance Teams
- Daily brief to positions: Macro snapshot, market breadth, and APAC sentiment overlay mapped to actionable tilts and risk notes.
- Strategy simulation to live tuning: Test hypotheses intraday, adjust parameters with predefined guardrails, and document the rationale.
- Behavioral risk controls: Surface loss aversion and disposition-effect patterns; prompt rule-based exits and entries with post-trade journaling.
- APAC microstructure awareness: Liquidity windows, holiday effects, and cross-border flows integrated into execution guidance.
- Scenario and hedge planning: Rate shocks, commodity swings, and FX stress tests tied to hedge suggestions and impact summaries.
A Philosophy for Uncertain Markets
MYQuant AI is more than a model. It is a disciplined approach to bring clarity, accountability, and dependable decision support to volatile periods.
The vision is straightforward: make investing more rational, markets more transparent, and AI serve people with measurable value.
Further Reading
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