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Technology used in Fed Reserve DLT trial is spun out as LedgerSwarm
July 13, 2023
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Last week the Regulated Liability Network (RLN) shared the results of a DLT proof of concept for payments with the Federal Reserve Bank of New York and ten institutions including BNY Mellon, Citi, HSBC, Mastercard and SwiftSETL was one of the main technology providers to the project alongside Digital Asset and is spinning out the SETL RLN Protocol software as a standalone project and company, LedgerSwarm, which will be separately funded.

The recent RLN trial targeted two use cases for domestic and cross border payments. It’s the latter that shone through enabling 24/7 real time settlement with the additional benefit of programmability.

LedgerSwarm DLT helps banks compete with JP Morgan

Global banks will likely start by using the LedgerSwarm solution for intraday payments between their subsidiaries around the world. This empowers them to offer cross border real time payments to their multinational corporate clients.

JP Morgan’s JPM Coin provides a similar solution. The difference with LedgerSwarm is it can work within a single bank or between banks (and central banks). It is interoperable with most conventional bank ledgers as well as a variety of DLT ledgers.

“The 24/7 global movement of dollars is what is really a competition point at the moment,” SETL CEO Anthony Culligan told Ledger Insights. “The international banks are competing for the multinational accounts. Every time JP Morgan wins one of those big international companies it puts pressure on all the other banks to say, ‘we need something that is going to give us real time settlement just across our own network.'” 

A DLT version of Swift?

Conceptually, RLN offers a programmable version of Swift which is future-proof to integrate with DLT networks. LedgerSwarm wants to provide a similar software and network layer to which regulated financial market infrastructures (FMIs) connect. That includes banks, real time gross settlement systems (RTGSs) and central securities depositories (CSDs).

Stepping back, the goal of the RLN isn’t purely to move money but also to enable a settlement layer for tokenized assets. Clearly, CSDs are central to that.

“If you think about the custody ledger within the bank, the CSD ledger and the custody ledger in the receiving bank. It’s about changing those three ledgers for a securities transaction,” observed Culligan.

Interoperability with conventional systems is critical here as well. The recent UBS digital bond issuance on the SIX Digital Exchange (SDX) would not have been viable at the scale of CHF 375 million without the linkage between the SDX CSD and the conventional SIX CSD that enabled investment by asset managers who are not yet blockchain ready.

A plethora of unified ledgers?

The BIS effectively endorsed the RLN concept when it recently released its paper on the ‘Unified Ledger’. Last week also saw the Banque de France propose a pan-European shared DLT infrastructure and British banking body UK Finance urged the government to explore industry appetite for a shared infrastructure. In fact, the UK has already executed a low key initial RLN trial involving several banks funded by the Government-owned British Business Bank. And a second iteration is in progress.

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The Great Onboarding: US Government Anchors Global Economy into Web3 via Pyth Network

For years, the crypto world speculated that the next major cycle would be driven by institutional adoption, with Wall Street finally legitimizing Bitcoin through vehicles like ETFs. While that prediction has indeed materialized, a recent development signifies a far more profound integration of Web3 into the global economic fabric, moving beyond mere financial products to the very infrastructure of data itself. The U.S. government has taken a monumental step, cementing Web3's role as a foundational layer for modern data distribution. This door, once opened, is poised to remain so indefinitely.

The U.S. Department of Commerce has officially partnered with leading blockchain oracle providers, Pyth Network and Chainlink, to distribute critical official economic data directly on-chain. This initiative marks a historic shift, bringing immutable, transparent, and auditable data from the federal government itself onto decentralized networks. This is not just a technological upgrade; it's a strategic move to enhance data accuracy, transparency, and accessibility for a global audience.

Specifically, Pyth Network has been selected to publish Gross Domestic Product (GDP) data, starting with quarterly releases going back five years, with plans to expand to a broader range of economic datasets. Chainlink, the other key partner, will provide data feeds from the Bureau of Economic Analysis (BEA), including Real Gross Domestic Product (GDP) and the Personal Consumption Expenditures (PCE) Price Index. This crucial economic information will be made available across a multitude of blockchain networks, including major ecosystems like Ethereum, Avalanche, Base, Bitcoin, Solana, Tron, Stellar, Arbitrum One, Polygon PoS, and Optimism.

This development is closer to science fiction than traditional finance. The same oracle network, Pyth, that secures data for over 350 decentralized applications (dApps) across more than 50 blockchains, processing over $2.5 trillion in total trading volume through its oracles, is now the system of record for the United States' core economic indicators. Pyth's extensive infrastructure, spanning over 107 blockchains and supporting more than 600 applications, positions it as a trusted source for on-chain data. This is not about speculative assets; it's about leveraging proven, robust technology for critical public services.

The significance of this collaboration cannot be overstated. By bringing official statistics on-chain, the U.S. government is embracing cryptographic verifiability and immutable publication, setting a new precedent for how governments interact with decentralized technology. This initiative aligns with broader transparency goals and is supported by Secretary of Commerce Howard Lutnick, positioning the U.S. as a world leader in finance and blockchain innovation. The decision by a federal entity to trust decentralized oracles with sensitive economic data underscores the growing institutional confidence in these networks.

This is the cycle of the great onboarding. The distinction between "Web2" and "Web3" is rapidly becoming obsolete. When government data, institutional flows, and grassroots builders all operate on the same decentralized rails, we are simply talking about the internet—a new iteration, yes, but the internet nonetheless: an immutable internet where data is not only published but also verified and distributed in real-time.

Pyth Network stands as tangible proof that this technology serves a vital purpose. It demonstrates that the industry has moved beyond abstract "crypto tech" to offering solutions that address real-world needs and are now actively sought after and understood by traditional entities. Most importantly, it proves that Web3 is no longer seeking permission; it has received the highest validation a system can receive—the trust of governments and markets alike.

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US Dept of Commerce to publish GDP data on blockchain

On Tuesday during a televised White House cabinet meeting, Commerce Secretary Howard Lutnick announced the intention to publish GDP statistics on blockchains. Today Chainlink and Pyth said they were selected as the decentralized oracles to distribute the data.

Lutnick said, “The Department of Commerce is going to start issuing its statistics on the blockchain because you are the crypto President. And we are going to put out GDP on the blockchain, so people can use the blockchain for data distribution. And then we’re going to make that available to the entire government. So, all of you can do it. We’re just ironing out all the details.”

The data includes Real GDP and the PCE Price Index, which reflects changes in the prices of domestic consumer goods and services. The statistics are released monthly and quarterly. The biggest initial use will likely be by on-chain prediction markets. But as more data comes online, such as broader inflation data or interest rates from the Federal Reserve, it could be used to automate various financial instruments. Apart from using the data in smart contracts, sources of tamperproof data 👉will become increasingly important for generative AI.

While it would be possible to procure the data from third parties, it is always ideal to get it from the source to ensure its accuracy. Getting data directly from government sources makes it tamperproof, provided the original data feed has not been manipulated before it reaches the oracle.

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