Predictive analysis of cryptoassets
Clara Fundência processes real-time market data and returns objective recommendations per asset. Access does not require an initial contribution: you define how much you want to allocate.
Risk score per asset, continuously updated.
Context
The problem is rarely a lack of interest. It's the combination of too much information, a high barrier to entry and decisions made under emotional pressure.
Dozens of differing sources, indicators and opinions make it difficult to separate relevant data from noise, especially without prior experience in market analysis.
Most platforms require minimum amounts that do not fit into a student's budget, which pushes the decision to start until "later".
Without defined criteria, price fluctuations generate reactive decisions — buying out of euphoria, selling out of panic — instead of a consistent strategy.
The mechanism
Two core processes underpin the recommendations: predictive risk scoring and automated market scanning.
The model combines historical volatility, liquidity, and on-chain metrics to assign each monitored asset a score from 0 to 100. The score is recalculated every data cycle, not once a day.
Instead of manually tracking multiple dashboards, the system continually queries exchange feeds and public indicators, flagging relevant movements as they occur.
For those starting out
Three design decisions that lower the barrier to entry without oversimplifying analysis.
There is no down payment required. You start with what you have available and adjust your contribution as your strategy evolves.
Screens organized by decision priority, without unnecessary market jargon or irrelevant metrics for those just starting out.
Each recommendation is accompanied by the logic that generated it — which variables weighed more and why.
Process
No step depends on prior knowledge of technical or market analysis.
Link the portfolio or manually enter the capital available for analysis. No minimum amount is required at this stage.
Answer a short questionnaire about volatility tolerance and time horizon. This calibrates the displayed risk score.
The panel displays assets prioritized according to your profile, with the score and logic of each recommendation visible.
Transparency
The predictive model combines historical price and volume series with indicators of liquidity and on-chain activity. Each variable receives an adjustable weight according to the risk profile defined by the user, and the result is a relative score among the monitored assets — not an absolute price prediction.
Recommendations are recalculated with each new data cycle. There is no manual intervention on the displayed score; Adjustments to the model are reviewed before going into production.
No minimum entry value. Define your risk profile and see your first score in minutes.