Machine Learning
Machine Learning
At PBG.io, Machine Learning is a core component of our infrastructure. We use custom-built artificial intelligence models designed and trained specifically to analyze crypto market data, tokenized assets, and onchain signals, with the goal of optimizing the management of the DVP (Decentralized Vault Portfolio) and delivering a more precise and reliable user experience.
At PBG.io, Machine Learning is a core component of our infrastructure. We use custom-built artificial intelligence models designed and trained specifically to analyze crypto market data, tokenized assets, and onchain signals, with the goal of optimizing the management of the DVP (Decentralized Vault Portfolio) and delivering a more precise and reliable user experience.
What is Machine Learning?
Machine Learning is a branch of artificial intelligence that enables systems to learn from data, identify patterns, and improve performance without constant human intervention. In a blockchain context, this means technology can analyze information in real time to anticipate scenarios, adjust strategies, and detect opportunities or risks.
How does PBG apply it?
Our machine learning system combines onchain and off-chain data to provide a more complete and accurate view of the market. Its main functions include:
- Predictive analysis: identifying trends and potential shifts in prices and demand.
- Portfolio optimization: adjusting the DVP composition to improve its balance between risk, liquidity, and potential performance.
- Early anomaly detection: spotting unusual behaviors that could indicate technical or market risks.
Integration with the RA node and internal oracle: receiving direct, high-fidelity data to maximize model accuracy.
How does PBG apply it?
Our machine learning system combines on-chain and off-chain data to provide a more complete and accurate view of the market. Its main functions include:
- Predictive analysis: identifying trends and potential shifts in prices and demand.
- Portfolio optimization: adjusting the DVP composition to improve its balance between risk, liquidity, and potential performance.
- Early anomaly detection: spotting unusual behaviors that could indicate technical or market risks.
Integration with the RA node and internal oracle: receiving direct, high-fidelity data to maximize model accuracy.
Key Features
Proprietary Models Optimized for Blockchain
Designed to interpret cryptocurrency, RWA, and onchain metrics, avoiding the biases of generic models.
Continuous Training
The system adjusts and improves constantly as it receives new data and validates its predictions.
Real-Time Processing
Capable of evaluating and responding to market changes in seconds, keeping the DVP aligned with current conditions.
Full Integration with PBG’s Infrastructure
Works in coordination with the RA node and oracle system to access high-quality, trusted information.
Key Features
Proprietary Models Optimized for Blockchain
Designed to interpret cryptocurrency, RWA, and onchain metrics, avoiding the biases of generic models.
Continuous Training
The system adjusts and improves constantly as it receives new data and validates its predictions.
Real-Time Processing
Capable of evaluating and responding to market changes in seconds, keeping the DVP aligned with current conditions.
Full Integration with PBG’s Infrastructure
Works in coordination with the RA node and oracle system to access high-quality, trusted information.
Key Features
Proprietary Models Optimized for Blockchain
Designed to interpret cryptocurrency, RWA, and onchain metrics, avoiding the biases of generic models.
Continuous Training
The system adjusts and improves constantly as it receives new data and validates its predictions.
Real-Time Processing
Capable of evaluating and responding to market changes in seconds, keeping the DVP aligned with current conditions.
Full Integration with PBG’s Infrastructure
Works in coordination with the RA node and oracle system to access high-quality, trusted information.
Benefits
