Roble Bitivo translates institutional-grade AI models into a format accessible to students. You configure your risk parameters, the engine analyzes market data in real time and the portfolio is active in less than 60 seconds.
Sample data for explanatory purposes. The actual dashboard is generated from your configuration.
Analyzing charts, following technical indicators and understanding the correlation between assets requires specific training. Without this criterion, decisions are made by intuition or by what is read on networks, which usually translates into poorly calculated risk exposure.
Roble Bitivo replaces that approach with a data-based process: the system analyzes volume, volatility and historical behavior of each asset, and proposes a portfolio distribution aligned with the risk profile that you define at the beginning.
Average start-up time is less than a minute once profile data is completed. Subsequent analytical work is performed by the predictive engine on an ongoing basis.
You define available capital, time horizon and risk tolerance. The system cross-references this information with real-time market data from multiple exchanges.
The engine runs predictive analysis models on volatility, liquidity and correlation between assets to estimate scenarios and assign weights within the portfolio.
A distribution adjusted to your profile is generated, with automatic rebalancing rules and exposure limits that you can review or modify at any time.
The Roble Bitivo engine does not attempt to predict exact price movements, but rather to estimate probability ranges and adjust exposure accordingly. When volatility exceeds the thresholds defined in your profile, the system reduces positions in the most exposed assets before the impact accumulates.
Every decision rule is recorded and can be consulted from your dashboard, so you can audit which variables led to each portfolio adjustment.
Portfolio status is recalculated continuously from live market data, not in periodic batches, allowing you to react to volatility changes within the same session.
When the market goes through phases of high volatility, the system automatically reduces exposure to the most affected assets and redistributes capital towards positions with lower correlation. The objective is to contain the impact of sharp falls on limited capital.
For those who contribute small amounts on a recurring basis, the engine prioritizes progressive accumulation and periodic rebalancing over specific market decisions, maintaining a distribution consistent with the time horizon defined at the beginning.
Access credentials are encrypted and never stored in plain text. The connection with the exchanges is made through limited operating permissions, without authorization to withdraw funds from the platform. This means that Roble Bitivo can analyze and adjust your portfolio, but it cannot move your capital out of your account.
The system is designed to work with modest contributions, common in a student's budget. There is no high minimum capital requirement; The configuration process itself adjusts the recommendations to the amount available, including diversification between assets.
Yes. Each recommendation is accompanied by the variables that originated it: recent volatility, correlation between assets and exposure limits defined in your profile. The goal is for you to be able to follow the model's reasoning, not just accept a result.
Define your risk profile and let the predictive analysis engine propose a first portfolio allocation. You can review each decision before confirming it.