Intelligent management of your crypto portfolio

Unitorna AI collects data from several exchanges in one clear dashboard and uses predictive analysis to translate precision data into concrete risk management. You go from manual follow-up in several tabs to one unified decision support, updated in line with the market.

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The data overview is continuously updated from all connected exchanges and shows the status of positions, exposure and deviations in the portfolio.

Unitorna AI data analysis of crypto portfolio on screen

The crypto market is fragmented in a way that makes manual monitoring demanding, even for experienced investors.

Price data, liquidity and order books are scattered across various exchanges, often with their own API formats and update frequencies. When an investor has positions on five or more platforms, it becomes difficult to get an overall picture of actual risk and return at any given time.

The result is what we call data fatigue: decisions are made on outdated or partial information, because the amount of data exceeds what is practically possible to process manually at high speed. An overall, structured display of the portfolio is therefore not a convenience, but a prerequisite for disciplined management.

Unitorna AI overview of integrated data sources from several exchanges

Seamless integration between exchanges

Unitorna AI retrieves transaction and market data via API connections to the exchanges you already use and normalizes the information into one consistent format. You no longer need to compile numbers manually from different sources; the platform turns this into one unified source for inventory, history and exposure.

The integration covers several types of marketplaces and wallet structures, so that the portfolio can be monitored regardless of where the assets are actually located.

  • Centralized exchanges
  • Decentralized protocols
  • Cold and hot wallets
  • Multiple accounts per user

How the analysis actually works

  1. 1. Data collection

    Market data, order book depth and own transactions are continuously collected from connected exchanges and consolidated in a common data structure.

  2. 2. Pattern recognition

    The models identify historical and ongoing patterns in volume, volatility and correlation between assets, and flag deviations from normal market behaviour.

  3. 3. Strategic optimization

    The findings are translated into concrete proposals for weighting, rebalancing and exposure adjustment, adapted to the portfolio's existing composition.

Unitorna AI is a decision support tool. The models provide probability-based assessments based on available data, not guarantees for future returns. All proposals should be assessed in light of your own risk tolerance and investment horizon.

Risk-reducing measures

The platform is built for investors who prioritize control over speed. Several mechanisms have been put in place to limit downside risk before it materializes.

Automated stop-loss alerts

The system calculates thresholds based on volatility history and alerts when positions approach defined risk limits, so that measures can be assessed in time.

Volatility filtering

Short-term price changes with low signal value are filtered out of the analysis, so that strategic proposals are not based on random noise in the market.

Diversification control

The portfolio's concentration in individual assets or sectors is continuously monitored, with a warning if the exposure becomes disproportionately large.

Liquidity assessment

Positions in assets with low turnover are marked separately, as low liquidity can make it more difficult to reduce exposure quickly when needed.

Concrete scenarios from professional use

Rebalancing across several exchanges

An investor with positions spread across five or more exchanges uses the dashboard to see aggregate weighting and adjust exposure without logging in to each venue separately.

Early identification of liquidity trends

Changes in order book depth and trading volume are analyzed before they are reflected in broader market sentiment, which provides an earlier basis for decision making.

Structured portfolio reporting

Investors who report to their own stakeholders use aggregated data and history from Unitorna AI as a documentation basis for decisions that have been made.

Take control of complexity

Setup only requires connection of existing exchange accounts via API keys with read access. You retain full control over your own assets throughout the process.