The Boltzmann Edge
Boltzmann provides a suite of metrics that helps describe a network’s utility and equip investors with superior proxies for supply, demand, and volatility in crypto asset markets
Instead of relying on price and order book data, investors require fundamental metrics that describe a network’s utility. Boltzmann offers two primary forms of intelligence: on-chain metrics in the form of network graph-derived metrics and off-chain metrics in the form of public forum-based sentiment analysis.
On-Chain Intelligence
Boltzmann’s suite of on-chain metrics are computed in real-time and at the block level of granularity. Our fundamental approaches attempt to proxy network supply, demand, and volatility. Boltzmann computes its metrics with generalized mathematical frameworks that rely on underlying characteristics of transacting wallets, rather than on their presumed identities. This represents a robust approach that captures statistically significant network activity.
Demand-Side Metrics
Wallet Generation Rate: Boltzmann computes marginal wallet generation rates by providing the number of newly transacting wallets each block
Contract Creation Rate: Boltzmann computes the number of newly issued contracts with every block for smart contract platforms
Velocity: Boltzmann computes asset velocity over multiple windows at block-level granularity
Supply-Side Metrics
Miner Flow: Boltzmann computes the net asset flow from mining participants on a rotating basis to determine the flow of new supply into proof-of-work networks
Pipe Flow: Boltzmann computes the movement of assets among wallets that act as network intermediaries
Net-Sink Flow: Boltzmann computes the net flow of assets between network sources to network sinks
Instantaneous Volatility
Mobility: Boltzmann computes the movement of assets among collections of wallets that function as network hubs and network termini
Block Vitals
Influence Radius: Boltzmann computes the connectivity of wallets transacting within a given block
Transactions: Boltzmann computes the number and total volume of transactions within a given block
Off-Chain Intelligence
Boltzmann utilizes natural language processing techniques to analyze text from public forums. Public forum discussion represents a statistically significant representation of crypto asset trading activity metadata, which Boltzmann mines and analyzes for sentiment indicators. Boltzmann utilizes multiple sources in eight languages, which may be used to identify regional differences in market sentiment. Our sentiment models are informed by prior academic work and over ten million data points. We continuously update these models as terminology and data sources evolve.
Data Origination
Boltzmann computes its metric suite by running full, redundant nodes of its supported blockchain networks. Boltzmann’s frameworks and models are designed and hosted internally. Our raw data is alternatively available through a web socket, which streams the metric suite in real-time and at the block-level of granularity. We do not rely upon any third party data provider to produce its metrics suite.
