Smart decisions in crypto assets, with controlled risk

Certeiro Rendivo applies backtesting and predictive models to historical market data, helping students validate strategies before investing real capital.

The problem

Social networks generate noise, not criteria

Most of the cryptoactive recommendations that circulate in groups and social networks are not subject to any historical validation. A student with little capital to invest ends up making decisions based on opinion, momentum or social pressure, rather than data.

The approach

An analytical filter before each entry

Certeiro Rendivo cross-references an asset's price history with multiple previous market cycles, testing whether a strategy would have worked before it was suggested. The final decision remains with the investor; the role of the platform is to reduce the uncertainty that precedes it.

Certeiro Rendivo — team analyzing market data models
How it works

Three layers of analysis before making any recommendations

Each feature exists to reduce a specific type of risk in the investment decision.

01 — Backtesting

Simulation on real historical data

Before any strategy is presented, it is tested against past multi-year price series and market cycles. The objective is to check how the asset behaved in similar conditions, and not to predict the future with absolute certainty.

4 cycles market analyzed by tested strategy
02 — Predictive modeling

Models that fit new data

The platform's predictive models are recalibrated as new market data is processed. Real-time analysis allows you to identify when current conditions deviate from the historical pattern used in backtesting.

Continuous real-time data processing
03 — Risk management

A risk score for each asset

Historical volatility, liquidity and correlation with other assets are combined into a simple risk score. This score helps you size the position according to available capital, rather than investing a fixed amount without context.

1 to 10 risk scale calculated per asset
Methodology

From raw data to recommendation, in three steps

The platform's internal logic follows a fixed sequence, so that the path of each recommendation can be understood and audited.

1

Data collection

Price, volume and volatility data is gathered from multiple market sources, covering several years of history for each asset considered.

2

AI refinement

Algorithms test patterns identified in the data against past market cycles, discarding correlations that have not been consistently confirmed.

3

Actionable insights

The result is presented as an objective recommendation, accompanied by the history that supports it and the associated risk score.

Retroactive results

What backtesting shows, and what it doesn't show

A strategy's past performance is an indicator of consistency, not a guarantee of future results.

Illustration of the simulated evolution of a strategy over a complete market cycle, based on historical data.

The platform's models are trained with data from boom and bust cycles, so that the evaluation of a strategy does not depend solely on a favorable period. This approach reduces, but does not eliminate, the likelihood of a recommendation failing in unprecedented market conditions.

Transparency note: the results presented are for educational and decision support purposes; They do not constitute financial advice or a guaranteed return forecast. Investing in cryptoassets maintains the risk of capital loss.

FAQ

Common questions for those just starting out

Does the risk of losing money disappear with this platform?

No. Certeiro Rendivo reduces exposure to impulsive and historically unfounded decisions, but investing in crypto assets always maintains the risk of capital loss. The platform works as analytical support, not as a guarantee of returns.

Do I need a lot of capital to start using the platform?

No. The platform was designed for those who are starting with small amounts and want to avoid emotional decisions typical of those who treat the market as a game of luck, instead of treating it as an informed investment decision.

How does artificial intelligence arrive at recommendations?

Models process real-time and historical data, test patterns against previous market cycles, and assign a risk score. Only strategies whose performance history can be consulted by the user are presented.

Validate your first strategy before investing a cent

Try Certeiro Rendivo backtesting on an asset of your choice and see its performance history before deciding. Registration is free and does not require connection to a wallet.

Validate My First Strategy