Predictive inference and risk management for crypto portfolios, with published results
Sendero Patrimivo processes on-chain and market data to generate allocation signals, applies volatility mitigation, and publishes each result to a registry accessible for independent verification.
From raw data to a concrete allocation recommendation
The system follows a fixed sequence of three phases. Each phase is recorded, so it can be audited which data produced which decision.
Market and on-chain data capture
Buy and sell orders from various exchanges, chain metrics (active addresses, exchange flows, dominance) and aggregated volume are aggregated. Data is normalized before entering the model, with latency control to discard outdated readings.
Predictive inference and backtesting
The models generate direction probabilities at different time horizons. Before being activated, each version of the model is backtested on historical periods not seen during training, to avoid overfitting.
Volatility mitigation
Signals are filtered by a risk module that limits exposure based on recent volatility and the expected Sharpe ratio. The goal is not to maximize gross return, but rather risk-adjusted return.
+ on-chain
predictive inference
risk mitigation
of results
Community verified results, not own figures
Each operating period is recorded with a time stamp. The exact figures are published and updated in the external record, they are not reproduced here as a projection.
| Period | Applied strategy | Net result of commissions | Verification |
|---|---|---|---|
| T1 — operating cycle | BTC/ETH rotation with volatility filter | Consult public record | Temporary stamp + community review |
| T2 — operating cycle | Defensive Allocation in High Volatility | Consult public record | Temporary stamp + community review |
| T3 — operating cycle | Automated multi-asset rebalancing | Consult public record | Temporary stamp + community review |
| T4 — operating cycle | Exposure reduction due to risk signal | Consult public record | Temporary stamp + community review |
The verification method combines a hash of each period close with open review: any member of the community can compare the issued signal with the actual execution price and point out discrepancies in the record.
Access the public registry →Scan Engine Capabilities
Four components work together to move from scattered data to an operational recommendation.
Signals in real time
The system recalculates allocation signals as new market data arrives, with processing latency visible on the dashboard, so you know how recent each recommendation is.
Volatility mitigation
An independent module reduces the recommended exposure when implied volatility exceeds defined thresholds, prioritizing capital preservation over capturing specific rallies.
Automated rebalancing
The rebalancing logic adjusts portfolio weights according to deviations from the risk objective, documenting each adjustment with the cause that originated it.
Sentiment analysis engine
Public mentions and volume of discussion in forums and networks are processed as an additional variable, lightly weighted against market and on-chain data to avoid overreaction to noise.
How to verify what the system claims
Security protocols
Sendero Patrimivo does not manage direct custody of the user's assets: the signals and recommendations are generated so that each person executes the operation in their own exchange or wallet. Access to the dashboard requires two-factor authentication and API keys, when connected, are limited to read-only permissions.
Community governance
Discrepancies regarding a published result are opened as a public incident in the registry. A result is not considered closed until the community review confirms that it coincides with the execution prices observed in the market.
Common technical questions
How much latency is there between the signal and the actual execution?
The time between the generation of a signal and its availability on the panel is measured in seconds, not minutes, but the final execution depends on the user and the liquidity available on their exchange. That is why each signal shows the generation timestamp along with the reference price used, so that the real gap can be evaluated before acting.
How does the commission structure work?
Access to the dashboard and signals is billed as a recurring subscription to the analysis service. Sendero Patrimivo does not charge a commission on the managed capital because it does not custody assets or execute operations on behalf of the user; Each person operates on their own exchange with their own capital.
Where does the data used by the model come from?
Three types of sources are combined: market APIs from various exchanges, public on-chain metrics from the analyzed networks, and public discussion volume in forums and social networks. No single source weighs more than reasonable in the final model, precisely to reduce the effect of erroneous data points.
Before deciding, review the metrics the system works with
The dashboard shows active signals, the history of risk adjustments and the direct link to the public record of results. Access is immediate and does not require connecting funds.