About StoryStocks.ai
StoryStocks is an AI-native market analyst for serious discretionary traders. It’s built on transparent, auditable evidence — not opinions, black boxes, or guru claims. Every number is computed from verified data. Every insight is grounded in the historical record.
The Problem
Most trading research is broken. Traders are asked to trust black boxes — proprietary indicators wrapped in marketing language, with no way to inspect how they work. They’re told to follow guru claims based on gut feel, anecdote, or a handful of chart examples that conveniently ignore the times the setup failed.
Backtests are survivorship-biased, tested only on winners that are still trading today. Parameter optimization is rampant, fitting noise instead of signal. Analysis is opinion-heavy and rarely grounded in visible, inspectable data.
The result: traders make decisions on sand. They can’t verify claims. They can’t see the full picture. They have no idea whether the statistics are real.
Our Approach
StoryStocks is built on a simple belief: trading research should be transparent, auditable, and evidence-first. That means:
Transparent Data
Every statistic comes from a visible, inspectable dataset. You can see exactly which events were included, when they occurred, and what happened afterward.
Explicit Definitions
Setups are defined in clear, deterministic rules — not vague pattern descriptions. The rules are auditable and could be independently verified by another analyst.
Deterministic Analytics
All numbers are computed the same way, every time. No curve-fitting, no parameter optimization, no hidden hand-tuning. The math is consistent and reproducible.
Visible Evidence
Every claim is paired with the data that backs it. You see the win rate, the distribution of returns, the excursion profiles — not just a cherry-picked chart.
AI-Assisted, Not AI-Dependent
Echo, the embedded analyst, interprets evidence and suggests connections — but it never replaces the numbers. The AI serves the data.
What We Believe
Traders deserve transparent evidence, not black boxes.
If you’re risking real money on a setup, you should be able to inspect how the research was done and what data it’s based on.
Setup definitions should be explicit and auditable.
A setup definition should be clear enough that another analyst could independently verify it using the same data.
Historical statistics should come from visible, inspectable samples.
You should be able to see the events that generated the statistic. Cherry-picking and survivorship bias are poison.
AI should assist interpretation, not replace judgment.
AI is good at spotting patterns in data and suggesting connections. It’s terrible at predicting the future. Echo helps you think faster; it doesn’t tell you what to trade.
Past performance doesn’t guarantee future results — but ignoring base rates is worse.
A setup with a 55% win rate across over two decades of data gives you better odds than a guess. Base rates matter. They’re the floor, not the ceiling.
Where We’re Going
StoryStocks is in private beta. The core loop is live: start at the Desk to see what’s structurally interesting today, go deeper on any stock to understand the archetype and active setup, and ask Echo for grounded analysis.
Over time, we’ll expand to more archetype families, deeper cross-setup analysis, and better tools for building and tracking personal playbooks. But we’ll never compromise on the core principle: evidence first. Every new feature will put transparent, auditable data in the hands of traders.
Start at the Desk.
See today's highest-signal setups, go deeper on any stock, and join the beta when you're ready.