Rentimoire — cross-platform market analysis dashboard
Ärianalüüsi platvorm

A single dashboard for your cross-platform marketplace feeds

Rentimoire continuously aggregates data from multiple exchanges and applies predictive models to reduce analysis time and limit uncertainty before each decision.

Armatuurlaua ülevaade: consolidated view of positions, ingestion latency displayed in milliseconds, risk scoring by asset and history of signals generated over the last 24 hours.

Mitme voo koondamine

All your data sources converted into a single actionable stream

Day traders working on multiple platforms waste measurable time manually cross-checking quotes, order books and macroeconomic indicators. Rentimoire normalizes these heterogeneous flows into a single, time-stamped and comparable format, before transmitting them to the analysis models.

  • Quote feeds and order books from several exchange platforms
  • Macroeconomic indicators and official announcement schedules
  • Ajaloolised volatiilsusandmed ja koondmahud
  • Sentiment signals from structured financial news sources
Rentimoire — analyst workstation viewing the unified dashboard

View of an analyst position consulting the consolidated flows before the markets open.

Omadused

Kolm tehnilist sammast, üks armatuurlaud

Each module is based on the same consolidated data, which avoids gaps in interpretation between real-time analysis, risk assessment and scenario projection.

Reaalajas analüüs

Turusöötade pidev töötlemine

Incoming data is processed upon receipt, without batch aggregation, so that signals reflect the state of the market at the time of consultation.

Average ingest latency less than 400ms per stream
Riski vähendamine

Riskiskoor positsioonide kaupa

Each asset monitored receives a score calculated from its recent volatility, its liquidity and its cross-exposure with the rest of the monitored portfolio.

Hinde ümberarvutamine iga voo värskenduse korral
Ennustav modelleerimine

Tõenäoliste stsenaariumide projektsioon

The models produce confidence intervals rather than absolute predictions, to remain consistent with the uncertainty inherent in financial markets.

Modellid on ümber koolitatud 90-päevase lükandaknaga
Metoodika

A decision-making process documented at each stage

Confidence in an automated signal depends on the ability to understand how it was produced. Here is the sequence applied to each incoming data stream.

Allaneelamine

The raw flows are time-stamped and checked for integrity before any processing.

Standardimine

Heterogeneous formats are converted into a common and comparable data schema.

Analüüs

The models calculate risk scores, correlations and projections based on normalized data.

Tagastamine

The results are presented with their confidence interval and the list of variables that influenced the calculation.

Andmete turvalisus: Exchange platform login credentials are encrypted at rest and in transit, and are never used to execute orders without explicit user action.
Kasutusjuhtumid

Kaks kasutajaprofiili, kaks erinevat kasutust

Tehniline baas jääb samaks; it is the configuration of the dashboards which adapts to the decision context.

Finantsturud

Päevakauplejad ja kõrgsagedusjuhid

Users active on multiple exchanges set up alerts based on risk scores and correlation gaps detected between tracked assets. The goal is to reduce the time spent manually consolidating positions before making a decision.

Platvormideülene jälgimine Volatiilsuse hoiatused Signaali ajalugu
Strateegiline juhtimine

B2B otsustajad ja finantsosakonnad

Teams in charge of investment or resource allocation decisions use scenario projections to document their choices to management committees, with a traceable history of the data that motivated each recommendation.

Eksporditavad aruanded Võrreldud stsenaariume Muutujate jälgitavus
Tehnilised küsimused

Mudeli integreerimine, latentsus ja töökindlus

The most frequently asked questions by technical teams before going into production.

Millised vahetused ühilduvad Rentimoire-ga?

Rentimoire connects to major platforms that have a public or private marketplace API. Integration is done via a read API key, with no order execution rights by default.

What is the latency between receiving data and displaying it?

Average ingestion latency is under 400 milliseconds per stream. It may vary depending on the load of the source platform and the quality of its own API.

How is the reliability of predictive models assessed?

Iga mudelit õpetatakse ümber jooksva 90-päevase akna jooksul ja see tagastab ühe väärtuse asemel usaldusintervalli, et kajastada viimaste andmete tegelikku veamarginaali.

Kas ajaloolisi andmeid säilitatakse ja kui kaua?

Normalized flows are kept over a 12-month period to enable calculation of correlations and comparison of scenarios over full market cycles.

Is technical support available during implementation?

An accompanied configuration phase is offered to connect data sources and configure alert thresholds according to the user's risk profile.

Vähendage analüüsi aega enne järgmist otsust

The initial setup involves connecting your data sources and setting your risk thresholds. No automatic order execution is enabled without explicit configuration.