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Nafavor - an AI-powered financial data analysis interface

Power stagnant liquidity with accurate predictive AI

Nafavor monitors over 500 trading pairs in real-time, turning predictive analysis into clear recommendations, helping business owners make informed investment decisions without having capital sitting stagnant in low-yielding accounts.

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Inertia cost: When capital stops working

Many small and medium-sized enterprises keep part of their liquidity in low-return accounts to avoid risks. This option seems safe on the face of it, but inflation and market fluctuations gradually reduce the purchasing power of this money, without this being directly reflected in the bank statement.

Traditional manual analysis relies on a periodic review of a limited number of markets, which is a model that is not compatible with the speed of price movement in modern markets. Predictive AI replaces this model with continuous monitoring of the movement of liquidity and prices across hundreds of markets at the same time, allowing opportunities and risks to be spotted as they arise, rather than discovered after it is too late.

Constant liquidity without analysis Portfolio under analysis Nafavor

An illustrative representation of the potential cumulative difference between a fixed liquidity and an AI-analyzed portfolio, for demonstration purposes only.

Three pillars of analysis and implementation

Nafavor combines the depth of quantitative analysis and the speed of automated processing, within a framework designed to serve accurate, not experimental, financial decisions.

Deep liquidity analysis

Measure the actual liquidity depth of each trading pair before filtering it, to avoid opportunities that look attractive on paper but are not executable at an appropriate size without a tangible impact on the price.

Risk reduction models

Each proposed opportunity is evaluated from the perspective of potential volatility and correlation to other assets in the portfolio, so that the recommendation is balanced between return and risk, not based on return alone.

Monitor the market around the clock

Surveys and analysis continue without interruption, including the closing hours of local markets, to ensure that any fundamental change in global markets is monitored and evaluated as soon as it occurs.

Analysis engines process price and volume data for more than 500 trading pairs simultaneously, with evaluation models constantly updated based on market behavior.

From data to decision: four steps

Each recommendation follows one clear, traceable path from the starting point to the final decision.

  1. 1

    Data assimilation

    Collecting price, volume, and liquidity data from various market sources on an ongoing basis, and organizing them into a unified, analyzable structure.

  2. 2

    Artificial intelligence filtering

    Exclude pairs with insufficient liquidity or an unstable pattern, and only retain opportunities that meet pre-defined quality criteria.

  3. 3

    Risk assessment

    Compare each remaining opportunity to the portfolio's risk profile, and determine the appropriate size of exposure based on the expected level of volatility.

  4. 4

    Actionable recommendation

    Provide the final recommendation with clear wording that includes the reason, proposed size, and approximate time period, without automated implementation without user consent.

The account holder reserves the final decision in all cases. Nafavor provides analysis and recommendation, while execution remains a user's choice, preserving the independence of their financial strategy.

Practical examples from the reality of small and medium businesses

Diversifying excess operating liquidity

A business holds part of its liquidity as an operating reserve, while another part remains surplus to immediate need for several months. Nafavor allows this surplus to be identified and distributed across multiple low-correlation opportunities, rather than leaving it in a single fixed-return account.

Nafavor - operational liquidity diversification analysis dashboard for a small enterprise

Hedging against market fluctuations

When signs of increased volatility are detected in one of the markets linked to the entity’s activity, the platform suggests gradual adjustments to the distribution of liquidity, with the aim of reducing exposure to risks before they escalate, not after they occur.

Frequently asked questions from professional customers

How are my account data saved?

Account data is stored and transmitted over industry standard encryption protocols, and access is restricted based on internally defined permissions. Data is not shared with third parties for marketing purposes.

Is it possible to link with my existing accounts?

The platform supports linking with existing accounts via approved programming interfaces, while maintaining the reading permissions necessary for analysis without granting automatic execution permissions without explicit approval.

How to choose more than 500 trading pairs?

The pair pool is built based on criteria of liquidity, trading volume and historical stability, and is periodically re-evaluated to exclude pairs that no longer meet these criteria, or add new pairs that do.

Turn data into strategic decisions

For those who would like to understand how the analysis works on similar data on their own, a customized demo can be requested with the Nafavor team, demonstrating the filtering and recommendation mechanism in action.

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