Customer Stories: TradeMath
Probability Intelligence For Stock Trading
TradeMath separates stock-specific performance from the market and its sector, then turns the evidence into a comparable Alpha score, Hedge Ideas, and relative baskets. Three years of research, running on ChartVPS infrastructure.
TradeMath in a Nutshell
TradeMath turns relative stock performance into probability intelligence. Its 0-100 Alpha score shows where the evidence currently leans after market conditions, sector performance, volatility, and peer strength are considered.
An Alpha of 80 does not claim an 80% probability of a winning trade. It means the evidence for relative leadership is considerably stronger than neutral.
TradeMath's Moat
One research framework connects directional analysis with relative expression. Traders can assess a stock individually, compare it with its peers, or explore a hedge idea without switching between unrelated signals and scoring systems.
Research In Practice
Probability Intelligence
A comparable measure of direction, edge, and confidence across the stock market.
Hedge Ideas
Leader-versus-laggard opportunities identified through meaningful differences in relative strength.
Relative Baskets
Express a stock against weaker sector peers or the sector itself.
The Original Question
The Market Moved. Did The Stock?
TradeMath began with a problem familiar to stock traders: a rising price does not always mean genuine leadership. The wider market or sector may be doing most of the work.
The team spent three years developing a clearer way to separate stock-specific performance from the conditions around it. That research became TradeMath's probability-intelligence framework: one comparable Alpha score, supported by enough context to judge how much confidence it deserves.
Relative Expression
From A View To A Position
As the research developed, TradeMath moved beyond identifying strength in individual stocks. The more useful question was often relative: which company is leading, which is lagging, and how can that difference be expressed with less dependence on market direction?
That led to Hedge Ideas and relative baskets, giving traders a practical way to explore leader-versus-laggard opportunities alongside the original directional view.
ChartVPS × TradeMath
TradeMath's research has grown into a live product that processes market data, updates Alpha scores, evaluates relative relationships, and presents the results through one trading desk. The infrastructure behind it needs to keep those workloads moving together without becoming the user's concern.
Through early access and into commercial launch, ChartVPS provides high-performance compute, ECC DDR5, fast NVMe storage, and redundant network capacity. ChartVPS handles the operating environment while TradeMath remains focused on research, product development, and its users.
Looking Back And Ahead
Three Years From Research To Release
01 Q3 2023
The Original Research Question
Work began on separating stock-specific performance from moves explained by the broader market and sector.
02 Q2 2024
A Comparable Framework
The research developed into a consistent way to compare relative leadership and weakness across stocks.
03 Q1 2025
Probability Intelligence Takes Shape
The Alpha framework brought direction, edge, confidence, peer strength, volatility, and market context into one graded reading.
04 Q3 2025
From Directional To Relative
TradeMath expanded into Hedge Ideas and relative baskets, allowing stock views to be expressed against weaker peers or a broader sector hedge.
05 Q2 2026
Preparing The Live Platform
Three years of research were assembled into one working product on ChartVPS infrastructure, ready to support live analytics and its first users.
06 Q3 2026
Early Access Opens
TradeMath opens the complete platform to early users. Their feedback will shape the product as the research moves into everyday trading workflows.
07 Q4 2026
Commercial Launch
TradeMath moves into full commercial availability, bringing together three years of research, high-end infrastructure, product development, and early-user feedback.
TradeMath Early Access
See The Stock In Context
TradeMath early access is open. Explore Alpha scores, market context, Hedge Ideas, and relative baskets ahead of the Q4 2026 commercial launch.