To give every serious retail trader access to the same depth of analysis, discipline frameworks, and multi-perspective thinking that institutional desks take for granted — without the institutional cost or complexity.
We're not building another dashboard. We're building an intelligence layer — one that handles the noise, surfaces the signal, and enforces the discipline so that when you act, you're executing a plan, not a feeling.
A world where any trader — regardless of their account size or institutional access — can think at the same level as the best investors in the world. Where AI doesn't replace human judgment, but amplifies it: filtering the irrelevant, synthesizing the complex, and holding the line on discipline when emotion wants to take over.
TradeVoice is the platform we're building toward that vision — one app, one agent, one validated trade at a time.
The stock market cannot be beaten by a single static formula. The only edge that lasts is self-knowledge — knowing what kind of trader you are, what strategies match your psychology, and when your approach needs to change. TradeVoiceLab is built to help you discover that, through a continuous loop of research, testing, simulation, and execution that gets sharper every time you run it.
/stock NVDA, /plan TSLA, /signal AAPL RSI MACD — 23 slash commands across all apps, no menus required.Minyang is a solution architect and engineer with deep experience across AI, machine learning, data science, cloud infrastructure, distributed systems, and data engineering — the kind of breadth that comes from building production systems end-to-end, not just designing them on a whiteboard.
He's spent years designing and running systems where latency, fault tolerance, and data consistency actually matter — and brings that same discipline to TradeVoiceLab: every component is built to be reliable, composable, and production-grade from day one.
The platform started as a personal tool — a way to apply multi-perspective analysis to his own trades without paying for a Bloomberg terminal or hiring a research team. The question that drove every design decision: what would I need to know before I put on this trade?
Every feature — from the Contrarian Thinking Engine to the Smart Order automation — was designed through conversation, refined through testing, and validated by actually trading with it. The platform is a direct product of one conviction: AI is most useful when it's grounded in real-world feedback loops, not benchmarks.
The stock market has no permanent answer — only better experiments. The only durable edge is a continuous process of discovering what works for you, in current market conditions, right now. TradeVoiceLab is built around that belief: every feature is designed to explain as it analyzes, teach as it executes, and improve alongside the trader who uses it.
📍 Building in public · Toronto, Canada
We build AI-powered educational tools for retail traders and investors operated from Toronto, Ontario, Canada.
| Platform | TradeVoiceLab |
| Website | tradevoicelab.com |
| Location | Toronto, Ontario, Canada |
| General Contact | [email protected] |
| Privacy | [email protected] |
| Support | tradevoicelab.com/support |
TradeVoiceLab is an educational platform. We are not a registered investment adviser, broker-dealer, or financial planner. No content on this platform constitutes financial or investment advice. All analysis, signals, and tools are provided for general informational and educational purposes only.
We are committed to transparency about what our platform is and what it isn't. If you have questions about how the platform works, our data practices, or our content policies, reach out to us directly at [email protected].