About Us
StockStatistics.ai is a quantitative statistical research project applied to the financial markets, built around a single idea: bringing together data and artificial intelligence, safely and by engineering, to hand you in seconds what today takes hours of manual work.
In front of every chart the real question is always the same — how many times has this already happened, and how did it go? — and we measure it across more than 150,000 global markets and over two centuries of historical data. That meeting of numbers and AI is the heart of the platform: we walk through it step by step below.
The Founder
Nicola Abis
FOUNDER, DEVELOPER AND HEAD OF RESEARCH
On the markets since 2009. He studied Economics and Finance and Psychology between the University of Cagliari and Roma Tre University; in 2022 he passed the Italian Financial Advisor qualification exam. In 2017 he was invited to Borsa Italiana, Palazzo Mezzanotte, to present his Quantitative Cycle Analysis at the Fintech Meets Milano event, as Top Trader & Financial Analyst for the Swiss fintech company Rataran, in a project reserved for institutional investors. He made his own day-to-day trading activity public for two consecutive years in international contests, presented his analyses on television, and was the Italian representative of the Timing Solution analysis software.
The tools on the platform are built from the algorithms he developed for his own daily work: only the methods that held up against the data became tools.
HOW WE WORK
Numbers and artificial intelligence, engineered together
The most delicate part of any system that combines AI with financial data is keeping the two roles apart. In our dashboard, calculation and interpretation never mix: numbers are measured first, then read. Here's how, step by step.
1
Historical Data
Over 150,000 global markets, more than two centuries of history: the same starting base for every calculation.
2
Deterministic calculation engines
Every number is the product of a deterministic calculation, not a generative model: same data in, same result out, every time. That's the reproducibility statistics requires of any measurement — and it's exactly what a generic AI chatbot cannot guarantee on its own. An LLM, by nature, is a language model: it wasn't built to calculate, it was built to interpret. That's the conceptual mistake most people make today when they use AI to get numbers, handing an LLM a job that isn't its own — and getting results that are often inconsistent or not reproducible. At StockStatistics.ai, calculation and interpretation stay separate for exactly this reason: the number comes from the deterministic engine, and the AI only reads it afterward.
3
The AI interprets
Only at this point does the AI step in: it reads the whole screen — every metric, and how they relate to one another — and gives you in seconds the reading that would otherwise take a couple of hours by hand, bringing together technical picture, volatility, volume, drawdowns, seasonality, cycles and options.
Every AI-generated analysis is labelled as such: the job of calculating and the job of interpreting always stay separate.
What we do not do
Historical statistics describe the past, they do not guarantee it for the future: markets are by nature risky and unpredictable. We do not provide financial advice, buy or sell recommendations, or trading signals. We do not manage money on behalf of third parties and we promise no returns. Market data is delayed. We provide the measurement; the decision stays with the reader.
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