FRENPTES

Your time series analysed in minutes

Drop your CSV files. The algorithms do the rest.

Analysing a time series properly takes weeks: preparing the data, choosing the tests, running them in the right order, interpreting every output. PariocAnalytics does that work for you. Advanced algorithmic reasoning structures every relevant test — descriptive statistics, stationarity, cointegration, ARIMA, VAR, GARCH — and returns results explained in plain language, reproducible to the decimal, in line with scientific protocols.

ADF · p<0,01 ARIMA (1,1,1) GARCH (1,1) t t+n max min

Why it takes so long elsewhere, and so little here

The same study, seen from both sides.

Time series analysis as you actually experience it

  • Weeks of coding before the first usable result.
  • A chain of tests in which one branch is always forgotten.
  • Raw output you still have to know how to read.
  • Six months later, nobody can reproduce the analysis exactly.

Time series analysis with PariocAnalytics

  • You drop your CSV files. That is all you have to do.
  • Every applicable test is structured automatically.
  • Each result comes with a clear, directly usable comment.
  • Run again in ten years, the analysis returns exactly the same figures.

What used to take a semester now takes an afternoon.

The method, in four steps

No code to write, no obscure parameter to guess.

You drop your CSV files

One multi-series file or several files, one per price. Separator, date format and frequency are detected automatically.

Automatic diagnostics

Missing values, breaks, actual frequency, usable length: the quality of your data is established before any computation.

Complete test tree

The engine determines which tests apply, in which order, and which ones condition the next. Nothing is forgotten, nothing is applied wrongly.

Commented report

Publication-ready tables, statistics, p-values and a written interpretation for every output. Ready to drop into your paper.

Everything that gets tested

Eleven families of analyses, switched on one by one or all at once.

1. Descriptive statistics
2. Normality (Jarque-Bera)
3. Correlations
4. Quantitative finance
5. Stationarity (ADF / KPSS)
6. Cointegration (Engle-Granger)
7. Regressions and autocorrelation
8. Forecasting (smoothing and ARIMA)
9. VAR and Granger causality
10. VECM (cointegrated series)
11. GARCH / EGARCH volatility

Beta, alpha, Sharpe ratio, annualised volatility and VaR are computed from the benchmark market and the risk-free rate you provide.

An AI makes things up. An algorithm does not.

That difference decides whether your results can be published.

A conversational assistant

  • It hallucinates: it produces values, tests and references that do not exist, without ever flagging that it is improvising.
  • Its reasoning is not reproducible: two runs on the same data give two different conclusions.
  • Its approach is neither traceable nor verifiable: it cannot be described in a methodology section.

PariocAnalytics

  • No value is ever written out: every figure shown comes from an explicit computation on your data.
  • Same data, same results, to the decimal, whenever you run it.
  • Every test is named, dated and documented: the methodology writes itself and holds up in front of a referee.

Your analyses are reproducible, verifiable and compliant with scientific protocols. That is a publication requirement, not a sales pitch.

What our users say

Researchers, lecturers and market practitioners.

"The journal referee asked for the unit root tests again, six months after submission. I re-ran them identically and sent the file back the same evening."

Senior lecturer in management science

"I had spent three weeks on my cointegration scripts. Dropping the CSV gave me the same thing in a quarter of an hour, with the reading of the results on top."

PhD candidate in financial markets

"What I value is being able to show my students where every figure comes from. No black box, no invented wording."

Professor of econometrics

"We used to test our portfolios by hand. Risk measures and volatility models now come out of the same process, always identical."

Quantitative analyst, asset management firm

"I had tried having a conversational assistant write my interpretations: two runs, two different conclusions. Here the result does not move."

Research associate, economics laboratory

"The part I hated — checking that I had not forgotten a single test — has become automatic."

Lecturer and researcher in finance

Contact us

A licence for your laboratory, your university or your team? Let us talk with Parioca Technology.

From scatter plot to publishable result

observed fitted forecast ± CI