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WarRin Protocol: A point-to-point anonymous privacy communication system

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Dr.WarRin

www.bitcointalk.org

Summary

This white paper provides an explanation of the WarRin protocol and related blockchain, point-to-point, network value, transport protocol, and encryption algorithms. The limited space will highlight the WRC allocation scheme and purpose of the WarRin Protocol Token, which is important for achieving the WRC’s stated objectives.  This white paper is for informational purposes only and is not a promise of final implementation details. Some details may change during the development and testing phases. 

1.  Introduction

Traditional centralized communication systems such as WeChat,WhatsApp, FacebookMessage,Google  Allo,Skype face a range of problems, including government surveillance, privacy breaches, and inadequate security, and the WarRin protocol proposes apoint-to-pointencrypted communications system that leveragesblockchain technology, combined  with Double Ratc het algorithms, pre-keys, and extended X3DH handshakes. The WarRin Protocol uses The Generalized Directional Acyclic Graph  and Curve25519,AES-256,  and HMAC-SHA256  as the pronamor, allowing each account to have its own unique account chain, providing unlimited instant communication between points and unlimited scalability, anonymity, integrity, consistency, and asynchronousness. 

2. WarRin Protocol communication system

2.1 Two types of communication

The Waring Protocol communication system divides chat channels into two types.

Image

Two modes of communication

  • General Chat mode: Using point-to-point encrypted communication, the service side has access to the key and can log in via multiple devices. 
  • Secret Chat mode: Encrypted communication using point-to-point can only be accessed through two specific devices. 

The design combines some of the advantages of raiBlocks    multi-chain construction with IOTA/Byteball  DAG, which we call the Waring protocol. With improvements, we have given the WarRin protocol greater throughput and faster processing power while ensuring the security of the ledger, and network nodes can store the ledger in less space and search their communications accounts quickly in the ledger.  When two users communicate, third parties contain content that neither manager can access. When a user is chatting in secret, the message contains multimedia that can be designated as a self-destruct message, and when the message is read by the user, the message is automatically destroyed within the specified time. Once the message expires, it disappears on the user’s device. 

2.2 How chat history is encrypted

2.2.1 MTProto  Transport Protocol

Image

MTProto transport protocol

The WarRin communication system draws on RaiBlocks’ multi-chain structure for point-to-point communication. Each account has its own chain that records the sending and receiving behavior of the account. For example, in Figure 1,   there are 7  accounts, each with 7 chain records of the account sending and receiving communications. On the graph, horizontal coordinates represent the timeline, and portrait coordinates represent the index of the account. 

Transferring information from one account to another requires two transactions: one to send a communication from the sender’s transfer content, and one to receive information to add that content to the content of the receiving account. Whether in a send-side account or a receiving account, a PoW proof of work with the previous communication content Hash is required to add new communications to the account.  In the account chain, poWwork proves to be an anti-spam communication tool that can be done in seconds. In a single account chain, the Hash field of the previous block is known to pre-generate the PoW required for subsequent blocks. Therefore, as long as the time between the two communications is greater than the time required to generate the PoW, the user’s transaction will be completed instantaneously. 

In such a design, only the receiving end of the communication is required for settlement. The receiving end places the received communication signature on the account chain, which is called accepted communication. Once accepted, the receiving end then broadcasts the communication to the ledger of the other nodes. However, there may be situations where the receiving end is not online or is subject to a DoS   attack, which prevents the receiving end from putting the receiving side communication on the account chain, which we call uncommoted transactions. The X symbol in Figure 1 represents an open transaction sent from Account 2 to Account 5.  

Image

Obviously, because only the sending and receiving sides of the communication are required to settle, such communication is very lightweight, all traffic can be transmitted in a UDP package and processed very quickly. At the same time, all communications in an account are kept in one chain, with great integrity, and the ledger can be trimmed to a minimum. Some nodes are not interested in spending resources to store the full communication history of the account;   They are only interested in the current communications for each account. When an account communicates, its accumulated information is encoded, and these nodes only need to keep track of the latest blocks so that historical data can be discarded while maintaining correctness. Such communication is only possible if the sending and receiving sides trust each other and are not the final settlement of the entire network consensus. There is a security risk in the absence of trust on the sending and receiving ends, or in situations where the receiving end is attacked by DoS without the sender’s knowledge. 

We have observed that although each account has a separate chain, the entire ledger can be expressed in the form of a WarRin object. As shown in Figure 2, this is represented by the WarRin astros trading on all accounts in Figure 1.  

Image

The first unit in the WarRin object is the Genesis unit, the next six cells represent the allocation of the initial token, and the other units correspond to the communication transactions between the account chains. We use the symbol a/b to represent a communication transaction, where the sender is a andthe recipient is b. The last  4/1 unit in Figure 2 is the last communication corresponding to Figure 1  – sending communication from account 4 to account 1. A transaction in Figure 1 is a confirmation of the latest block or the latest communication on the account chains of both parties to the communication, reflected in Figure 2 as a reference to the latest units of the account chains of both parties to the communication. Take unit 4/1, for example, where the latest  block on account 4 was the receiving block for 2/4  trades and the newest block on  account 1 was the send block for 1/5 trade. So on the DAG, the 4/1 cell refers to the 2/4 cell and the 1/5 cell. 

The WarRin protocol uses triangular shrapned storage technology to crack impossible triangles in the blockchain through the shrapghine technology, with extensive node engagement and decontalination  while maintaining high throughput and security:

  • Complete shraping of blockchain status;
  • Secure and low-cost cross-synth trading;
  • Completely random witness selection;
  • Flexible and efficient configuration

Complete decentralization ensures absolute security and scalability of the standard chain.

(Figures   above show seven Ling-shaped objects:2/1 one;3/2  one… )

2.2.2 Curve25519 Elliptic Curve Encryption Algorithm

Curve25519,  proposed by Daniel Bernstein, is anelliptic  curve algorithm for the exchange of The Montgomery Curve’s Difi Herman keys. 

Montgomery Curve Curve Mathematical Expression: 图片图片

Curve25519 Curve Mathematical Expression:图片

Curve25519  encryption     algorithms are    图片 used for standard private and public keys, and the private keys used for Curve25519  图片 encryption algorithms are typically defined as secret 图片 indices, corresponding to 图片public  keys, coordinate points, which are usually sufficient to perform ECDH (elliptical) and symmetrical  elliptic curve encryption algorithms. If one party wants to send information to the other party and the other party has the 图片 public 图片and private keys, perform the following 图片calculation:

Generate a one-time random secret 图片图片   图片 index, calculated using Montgomery, because the message is a symmetrical password encrypted using 256-bit  sharing, such as AES  using a 256-bit integer 图片 one-time public key,  as akey, and 256-bit integer is a 图片prefix to encrypted information. Once a party to   图片图片图片the public 图片key receives this message, it can start by calculating , that is ,图片the receiver recovers the shared secret and 图片is able to decrypt the rest of the information. 

3. Incentives

On the basis of the WarRin agreement, by adding the incentive layer, we can effectively avoid the whole network being attacked and eliminate spam. As long as honest nodes control most of the calculations, for an attacker, the network is robust because of its simplicity of structure, and nodes need little coordination to work at the same time. They do not need to be authenticated because information is not sent to a location. 

3.1 WRC Certificate

WRC issued a total of 2,500,000 pieces and continued to increment according to the WoRin gain function. 

3.1.1 WoRin Gain Function

Image
Image

3.1.2 WoRin gain function control table

The WoRin gain function is compared to the table
Number of layers /F Growth factor /I WRC circulation
[1,50] 0.002 334918.8057
[51,100] 0.002 780024.2108
[101,150] 0.004 1177129.617
[151,200] 0.006 1487860.923
[201,250] 0.01 1722637
[251,300] 0.016 1894309.216
[301,400] 0.03 2101623.789
[401,500] 0.06 2217555.464
[501,1000] 0.1 2450712.257
[1001,2000] 0.12 2557457.3

According 图片to the Gain function, the 图片larger the number of layers, 图片the greater the growth rate, the faster each layer is filled, and the 图片greater the circulation. 

3.2 Allocation

Image

WarRin protocol node distribution

3.2.1 Node allocation

Set the initial price  图片  图片图片to 0.02,the layer where the first node is located is , according to the equation of the iso-difference column, there is , so that the 图片node token is assigned to the piece, for the price of 图片 the layer where the node 图片is located, there is a 图片图片set. 

For example, the number of tiers in which the  98th  node is located is Tier 13,  and the price of Tier 13 is 0.214,the tokens assigned by Tier 98 are 图片

3.2.2 Total number of address assignments

Each node occupies one address, and the total number of 图片addresses is

4. The use

WRC is the native pass-through of the WarRin protocol, andWRC will assign to Genesis nodes according to the above allocation scheme, which together form the entire network, andWRC can be used in the following scenarios, including but not limited to:

Pay the network’s gas charges, i.e. for transferring money and invoking smart contracts;

System Staking tokens, used for node elections and token issues;

The capital is lent to the validator in exchange for the amount of the reward;

Voting rights for system proposals;

The means of payment for apps developed  on WoRin Services;

WoRin Storage is a means of payment on the decentralization storage;

WoRin DNS domain name and WoRin  WWW website means of payment;

WoRin Proxy agents hide the means of payment for body and IP addresses;

WoRin Proxy penetrates payment methods reviewed by local ISPs

……

5. Conclusions

Metcalfe’s Law states that thevalue of a network is equal to the square of the number of nodes within the network, and that the value of the network is directly related to the square of the number of connected users. That is 图片( the 图片value factor, the number of 图片users.)  That is, the greater the number of users on a network, the greater the value of the entire network and each computer within that network. The WarRin protocol also follows this law, and when the number of nodes reaches a certain level, the entire network becomes more robust. 

References

[1] K. Birman, Reliable Distributed Systems: Technologies, Web Services and

Applications, Springer, 2005.

[2] V. Buterin, Ethereum: A next-generation smart contract and de- centralized

application platform, https://github.com/ethereum/wiki/wiki/White-Paper,  2013.

[3] M. Ben-Or, B. Kelmer, T. Rabin, Asynchronous secure  computa-  tions  with

optimal resilience, in Proceedings of the thirteenth annual ACM symposium on

Principles of distributed computing, p. 183–192. ACM, 1994.

[4] M. Castro, B. Liskov, et al., Practical byzantine fault tolerance, Proceedings of the

Third Symposium on Operating Systems Design and Implementation (1999), p. 173–

186, available at http://pmg.csail.mit.edu/papers/osdi99.pdf.

[5] EOS. IO, EOS. IO technical white paper,

https://github.com/EOSIO/Documentation/blob/master/TechnicalWhitePaper.md,

2017.

[6] D. Goldschlag, M. Reed, P. Syverson, Onion Routing for  Anony-  mous  and

Private Internet Connections, Communications of the ACM, 42, num. 2 (1999),

http://www.onion-router.net/Publications/CACM-1999.pdf.

[7] L. Lamport, R. Shostak, M. Pease, The byzantine  generals  problem, ACM

Transactions on Programming Languages and Systems, 4/3 (1982), p. 382–401.

[8] S. Larimer, The history of BitShares,

https://docs.bitshares.org/bitshares/history.html, 2013.

[9] M. Luby, A. Shokrollahi, et al.,  RaptorQ  forward error correction scheme for

object delivery, IETF RFC 6330, https://tools.ietf.org/html/rfc6330,  2011.

[10] P. Maymounkov, D. Mazières,  Kademlia: A peer-to-peer  infor-  mation  system

based on the XOR metric, in IPTPS ’01 revised pa- pers from the First International

Workshop on Peer-to-Peer Systems, p. 53–65, available at

http://pdos.csail.mit.edu/~petar/papers/ maymounkov-kademlia-lncs.pdf, 2002.

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Matthew Mirro Names the Warning Signs He Tells Clients Never to Ignore

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  • Matthew Mirro, a sales professional and senior advisor based in Valparaiso, Indiana, is sharing the warning signs he tells clients to watch for before they commit to an advisor, a deal, or an investment.

Why the Pitch Matters Less Than the Pause

Indiana, USA, Oct 13, 2026, ZEX PR WIRE — Matthew Mirro has spent his career in financial services, first building a business in Chicago and later expanding into real estate investment. Across both, he has seen the same pattern show up again and again: people get talked into decisions before they get the chance to think them through.

“A good opportunity can survive a pause,” Mirro says. “If someone is rushing you past the point where you’d normally ask questions, that itself is the warning sign. Not the product. The pressure.”

Mirro’s background in psychology, paired with years of sales experience, shaped how he reads a room and a pitch. He says the two skills work together: one tells you what someone is saying, the other tells you what they are avoiding.

The First Sign: A Pitch That Skips the Numbers

Mirro says the clearest red flag is when someone leads with a feeling instead of a figure.

“If the conversation is all about excitement and none of it is about math, slow down,” he says. “I want to see the numbers before I care about the story. The story should back up the numbers, not replace them.”

He tells clients to ask directly for the breakdown behind any projection, whether it’s a financial plan or a real estate deal. If the answer is vague or the person seems annoyed by the question, he treats that as information.

The Second Sign: Advice That Ignores the Client’s Timeline

Mirro says a second warning sign shows up when advice sounds identical no matter who is receiving it.

“Someone starting a family has different priorities than someone who’s twenty years into their career,” he says. “If the recommendation doesn’t change based on your actual situation, it probably wasn’t built for your situation in the first place.”

He points to his own path as an example, without treating it as a template for anyone else. He moved to Chicago to build a career and a business, then returned to Northwest Indiana when he and his wife decided to start a family. The decisions that made sense at each stage were different, he says, because the goals were different.

The Third Sign: No Room for Questions

The third sign Mirro names is simpler than the first two: how a person responds when you push back.

“If someone gets defensive the moment you ask a follow-up question, pay attention to that reaction,” he says. “A person who actually knows the material wants you to understand it. They’re not threatened by questions.”

Mirro says this sign applies whether someone is choosing a financial advisor, evaluating a business partner, or looking at a property. The willingness to slow down and explain, he says, tells you more than the pitch itself.

What Mirro Tells Clients to Do Instead

Mirro is careful to frame these signs as things to notice, not a checklist he hands out. He says the goal is for clients to build their own judgment over time, rather than depend on someone else’s approval for every decision.

“I’d rather someone learn to trust their own read on a situation,” he says. “My job is to give them the information and the honest answer, not to make the decision feel bigger or smaller than it is.”

He says the habit of asking questions, checking numbers, and noticing pressure has served him in both financial services and real estate investment. It is also, he says, a habit he hopes to pass along, both to clients and to his own children.

“Entrepreneurship and long-term financial decisions come with real risk,” Mirro says. “The people who do well aren’t the ones who avoid every risk. They’re the ones who know how to spot the difference between a real opportunity and a rushed one.”

To read more, visit the website here.

About Matthew Mirro

Matthew Mirro is a sales professional and senior advisor based in Valparaiso, Indiana. He built his career in financial services after graduating from Ball State University with a degree in psychology, later expanding into real estate investment. Mirro is also the founder of the Michael Mirro Neurological Fund at the Mirro Center in Fort Wayne, Indiana, established in honor of his brother, Michael.

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What Is LinkPro AI Multiple Identities, AI and Privacy in One Messaging Platform

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Malaysia, 13th Oct 2026 – Discover LinkPro’s vision for next-generation communication infrastructure, bringing together multiple identities, AI-native messaging, contextual privacy, Secure Space and control over personal data.

LinkPro is a next-generation messaging platform built around multiple identities, AI-native communication and contextual privacy. Positioned as AI Communication Infrastructure, it rethinks messaging around the relationships people manage, the growing volume of conversations they receive and their need for control over identity and data.

For people managing projects, participating in communities and keeping up with personal contacts, a messaging system needs to reflect different relationships and help them find what matters. LinkPro brings these needs together, connecting identity, conversations and privacy rules within a single system.

Multiple Identities for Different Relationships

A professional presence at work, a private conversation with family and a public role in a community all belong to the same person, but involve different relationships. LinkPro accommodates those differences through Work, Personal, Community and Anonymous identities.

Each identity has its own name, profile picture, contacts, groups, notifications, online status and privacy rules. Users can manage their profile and communication environment according to the role they are in, giving each relationship a clearly defined place.

For creators, multiple identities separate fan communities, brand partnerships and personal contacts. For founders, they address the need to manage teams, clients, partners and private life at the same time. Starting with the structure of those relationships makes LinkPro better suited to the different roles a person actually holds.

AI at the Core of Conversation Understanding

LinkPro puts AI’s ability to interpret conversations at the heart of messaging. Summaries help users catch up on long exchanges, decision extraction organizes confirmed arrangements, and reply suggestions take the situation into account. Multilingual understanding supports conversations across regions, while Context Memory helps users find relevant past discussions.

In intelligent groups, these capabilities organize key decisions, action items, important files and discussion threads. Members returning after time offline can get an overview of the project before opening the topics they need to continue their work. Group conversations gain a clearer information structure.

LinkPro defines AI’s role clearly: AI understands; humans decide. Intelligent organization helps users make sense of information, while the people involved confirm important arrangements and make the final decisions.

Privacy Rules That Fit Each Relationship

Clients and family members have different expectations around availability. Friends and unfamiliar community members need different levels of access to profile information. LinkPro organizes privacy around relationships and conversations so settings reflect the situation in which communication takes place.

The design includes forwarding controls, read receipts, online status, message lifetimes, screenshot safeguards and alerts, and additional access conditions. These govern activity disclosure, content use and access to spaces, letting users apply appropriate rules to each relationship.

Multiple identities and contextual privacy work together. The identity establishes the role in use, while privacy rules define the boundaries within that role. For people managing several kinds of contact, this connection makes privacy easier to understand and manage.

A Separate Security Layer for Important Information

Everyday chats and important business information call for different access arrangements. LinkPro Secure Space provides a security layer for sensitive content outside ordinary messaging, with a separate entry point and access conditions for important conversations.

LinkPro’s technical security layer also incorporates end-to-end encryption, device keys and permission management. Identity, privacy and Secure Space are considered together within the foundational architecture, providing distinct management layers for different communication needs.

Digital Identity and Data Control for Wider Collaboration

LinkPro includes DIDs and verifiable credentials in its identity layer, with cross-platform identity, data ownership and community collaboration in its development direction. The focus is how users manage their digital identities and maintain relationships built over time.

Its data design distinguishes between encrypted cloud, local-first and decentralized storage. These approaches address different priorities, including convenient synchronization, control through users’ own devices and data sovereignty. Different identities and situations can have appropriate data arrangements.

For collaboration involving AI agents, LinkPro also focuses on agent identities, permissions and authorization limits. Communication between people and agents requires clarity about who is participating, who has authorized them and what they are allowed to do. These considerations extend into the next phase of the messaging architecture.

Designed for People and Teams with Complex Communication Needs

Founders and project leads manage several business relationships at once. Remote teams need handoffs across time zones. Creators separate their public presence, commercial work and private life. Community members need clear identities, discussions and participation rules. LinkPro builds a shared communication system around these situations.

Its product roadmap begins with messaging, identity and privacy foundations, develops AI’s understanding of conversations, and then extends into cross-platform identity, control over data and agent collaboration. Each stage connects the capabilities to practical communication needs.

Together, these choices give LinkPro a clear proposition: distinct spaces for different roles, easier access to the information that matters, and communication rules and data arrangements shaped by the user’s needs. They define LinkPro’s position as AI Communication Infrastructure.

Frequently Asked Questions

What is LinkPro?

LinkPro is a next-generation messaging platform built around multiple identities, AI-native communication and contextual privacy. It is positioned as AI Communication Infrastructure.

What are LinkPro’s core design elements?

They include multiple identities, AI conversation understanding, contextual privacy, Secure Space, and architecture supporting digital identity and user control over data.

Who is LinkPro designed for?

Its design addresses the communication needs of people with multiple roles, creators, founders, remote teams and those collaborating across communities.

Visit www.linkpro.me to explore LinkPro’s approach to multiple identities, AI and privacy, and discover next-generation messaging designed around real relationships.

Media Contact

Organization: LinkPro

Contact Person: LinkPro

Website: http://www.linkpro.me/

Email: Send Email

Country: Malaysia

Release id: 49883

View source version on King Newswire:
What Is LinkPro AI Multiple Identities, AI and Privacy in One Messaging Platform

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B2PRIME Expands Tier-1 Access and Liquidity Architecture for Sophisticated Institutional Flow

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Limassol, Cyprus, October 13th, 2026, FinanceWire

B2PRIME Group, a global financial services provider for institutional and professional clients, has announced a material expansion of its institutional liquidity architecture.

Following two years of strong growth, product development and investment in institutional infrastructure, B2PRIME has secured an additional line with its Tier-1 prime broker, expanded its relationships with Tier-1 banks and global financial institutions, and increased its capacity to construct and manage bespoke aggregated liquidity streams.

The expansion enables B2PRIME to support larger counterparties, more complex trading models and a broader range of institutional flow profiles.

Intelligent Liquidity Management

Over the past two years, B2PRIME has substantially diversified its pool of banking and non-banking liquidity providers, building a full-scale infrastructure for aggregating liquidity from a wide range of heterogeneous sources. 

Where the Group’s model previously relied on aggregating already-normalised sources, it now aggregates flows with varying order book depth, data formats and execution parameters — systematised and normalised within a single infrastructure rather than simply combined.

This has brought B2PRIME’s customisation to a new level. Individual liquidity streams can now be built for each client, accounting for execution parameters and source-specific characteristics, not just spreads and consolidated pricing. 

Each stream can be configured around instrument coverage, ticket-size distribution, target depth, holding periods, session concentration, latency sensitivity, pricing structure and expected volumes.

This gives institutional clients a liquidity configuration built for their business, rather than a generic pool offered on identical terms to every counterparty.

The Group has also developed more advanced markout and anomalous price-movement detectors, improving control over liquidity quality, faster identification of underperforming sources, and greater price-stream stability.

“Access at this level is earned through financial strength, consistent flow, operational discipline and a strong compliance record. Our expanded relationship with our Tier-1 prime broker and the addition of further Tier-1 bank pricing relationships reflect the progress B2PRIME has made. We now have the access, capacity and infrastructure to serve some of the most sophisticated businesses in the market, and to continue supporting them as they scale.” — Eugenia Mykuliak, Founder of B2PRIME Group

Expanding Prime-of-Prime Liquidity Infrastructure

The additional line with B2PRIME’s Tier-1 prime broker strengthens the Group’s ability to support higher volumes and larger institutional relationships. At the same time, the addition of further Tier-1 bank pricing relationships increases the range and quality of liquidity available for aggregation.

Together, these developments allow B2PRIME to create deeper and more resilient liquidity streams while reducing dependence on any single source.

The resulting architecture is designed to support demanding institutional requirements, including concentrated flow, larger ticket sizes, multi-asset coverage and businesses operating across different trading sessions and execution environments.

This combination of prime-broker access, diversified Tier-1 pricing and client-specific liquidity engineering places B2PRIME among a relatively small group of regulated Prime-of-Prime providers capable of supporting sophisticated liquidity mandates at scale.

More Than a Price Feed

At the institutional level, liquidity quality depends on the diversity of underlying sources, available credit, fill performance and suitability for the client’s specific flow and many other factors. Instead of distributing a standardised feed, B2PRIME designs each stream around the client’s business model and execution requirements, with performance continuously assessed against real execution data.

This has already translated into tighter spreads across major and minor FX pairs and precious metals, more competitive swap rates, increased executable depth and stronger price continuity across principal sessions. 

The broader source mix also gives B2PRIME greater flexibility to manage the liquidity behind each stream. Sources can be assessed against fill ratios, rejection rates, slippage, response times, spread stability and performance during volatile market conditions. This is a continuous process. A liquidity stream is not treated as a static product: it is monitored, reviewed and adjusted as the client’s flow and market conditions evolve.

B2PRIME’s publicly available Best Execution framework, aligned with MiFID II, governed all of this. Institutional counterparties can access detailed execution-quality reporting.

“The difference between supplying liquidity and managing liquidity is significant. A feed can look competitive in a snapshot. An institutional liquidity stream must perform across volume, volatility, different sessions and changing flow characteristics. We understand the client’s flow and manage the stream continuously against real execution data.”

— Alex Tsepaev, Chief Strategy Officer at B2PRIME Group

Two Years of Growth Results in Expansion

In 2025, the Group’s client trading income increased by 165% year-on-year to EUR 52.8 million. Net profit reached EUR 15.0 million, while client trading volumes grew more than fivefold. B2PRIME ended the year with zero debt and an equity-to-total-assets ratio of approximately 45%.

That’s why this combination of balance-sheet strength, consistent volumes, regulatory standing and operational performance has enabled B2PRIME to deepen its relationships with leading global financial institutions.

The offering is available now to eligible brokers, hedge funds, proprietary trading firms, asset managers, OTC desks and banks, subject to entity and jurisdiction, via FIX API, PrimeXM, oneZero, Centroid, FXCubic and MT4/MT5 bridges.

About B2PRIME Group

B2PRIME Group is a global financial services provider for institutional and professional clients. Regulated by reputable authorities—including CySEC, FSA, FSCA, FSC Mauritius, SCB in The Bahamas, DFSA (Dubai) —the group of companies offer access to competitive liquidity across multiple asset classes. Committed to the highest compliance standards, B2PRIME provides institutional-grade trading solutions with a focus on reliability, transparency, and operational excellence.

Contact

B2PRIME Group
sales@b2prime.com

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