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Consolidate multi-exchange data into one analytical view

Pixelqivo brings market feeds, account balances, and transaction histories from every exchange you use into a single dashboard, so remote-first investors can assess risk without switching between platforms or working around time zones.

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Built for professionals who manage portfolios and business decisions from more than one location.

Pixelqivo dashboard showing consolidated exchange balances and risk indicators

A consolidated view of exchange balances, risk indicators, and model confidence scores, updated in real time.

Unified Intelligence

One dashboard for every exchange and data source you rely on

Working across several exchanges usually means several logins, several export formats, and no single picture of overall exposure. Pixelqivo removes that fragmentation by normalizing data as it arrives.

Exchange-agnostic ingestion

Connects to major crypto and equity exchanges and reconciles balances, order history, and fee structures into one schema.

High-volume stream handling

Processes continuous price and order-book updates without requiring manual refresh or scheduled exports.

Cross-source correlation

Links exchange activity with external market and macroeconomic data to give context to short-term price movement.

Integrations currently cover leading centralized crypto exchanges, standard brokerage data exports, and public macroeconomic data feeds. Additional sources are added based on demand from active users rather than promoted in advance.

Designed around how remote work actually happens

Many of the people using Pixelqivo are not sitting at a single desk during market hours. Decisions get made between meetings, across time zones, and often from a phone rather than a trading terminal.

The dashboard is structured so that a five-minute check-in is enough to understand current exposure, flagged risk, and any recommendations that require attention, without needing to reconstruct context from several separate tools first.

Pixelqivo team reviewing portfolio data and risk models
Predictive Capabilities

How risk scoring and recommendations are produced

The methodology is built to be explainable at each stage, rather than presenting a single opaque score.

1

Data ingestion and normalization

Raw feeds from each connected exchange are cleaned, time-aligned, and converted into a consistent internal format before any analysis runs.

2

Pattern and correlation modeling

Historical and live data are compared against known volatility patterns and cross-asset correlations to identify where exposure is concentrated.

3

Risk scoring and scenario testing

Positions are scored against a set of stress scenarios, including sudden liquidity drops and correlated multi-asset declines, and each score is shown alongside the assumptions used to produce it.

4

Recommendation delivery

Suggested adjustments are ranked by expected effect on risk exposure, with the underlying reasoning displayed so a decision can be reviewed rather than taken on faith. This is what we describe as algorithmic confidence: knowing why a recommendation was made, not just what it is.

Practical Application

Common situations remote investors bring to the dashboard

These are representative scenarios based on how the platform is typically used, not guarantees of specific results.

Multi-exchange portfolio

Tracking a crypto and equities portfolio while traveling

A portfolio spread across three exchanges and one brokerage account is consolidated into a single risk view, so a shift in one asset class is visible alongside its effect on the rest of the holdings, regardless of which time zone the review happens in.

Outcome: one reconciliation step instead of four separate exports.

Small business decisions

Assessing market-entry risk for a remote-run business

Cash flow projections are compared against sector volatility data to flag whether a planned expansion coincides with a period of heightened market stress.

Retirement contributions

Rebalancing during volatile weeks

Scheduled contributions are checked against current volatility scores before execution, with a suggested delay or split when short-term risk is elevated.

Audience

Built for location-independent work

Used most often by contractors, consultants, and small business owners managing investments alongside client work, across Canadian and international time zones.

Security & Transparency

How data is protected and how the platform is run

Data handling

Exchange credentials are stored separately from analytical data, and read-only API connections are used wherever an exchange supports them, so withdrawal permissions are never required. Data in transit is encrypted using standard TLS protocols, and stored data is encrypted at rest.

Operational transparency

Pixelqivo does not execute trades on a user's behalf. Recommendations are informational, and every score shown in the dashboard can be traced back to the inputs and scenario assumptions that produced it. Model logic is documented in plain language within the platform rather than described only in marketing material.

Do you require withdrawal permissions on connected accounts?

No. Connections are configured for read-only access wherever the exchange or brokerage supports it.

Can I see why a recommendation was made?

Yes. Each recommendation links back to the risk scenario and data inputs used to generate it.

Is this platform available outside Canada?

The dashboard is accessible from any location with an internet connection; exchange availability depends on your existing account access.

What happens if an exchange changes its API?

Connections are monitored, and affected integrations are flagged in the dashboard so you know when data may be temporarily incomplete.

Review your exposure across every exchange in one place

Request access to see how your current holdings look once fragmented data is brought into a single, explainable view.

Explore Dashboard

No credit card is required to request access or review the dashboard.