Sunny Isles Beach, United States, July 20th, 2026, FinanceWire
BinBase, a provider of payment routing and card intelligence data, today announced the release of its updated 2026 Bank Identification Number (BIN) dataset. The release introduces high-precision data structures designed to address routing inefficiencies caused by the global transition to 8-digit BINs and tokenized digital wallet transactions.
As major payment networks shift from legacy 6-digit BIN standards to 8-digit and 11-digit sub-ranges (including Apple Pay and Google Pay DPANs), standard lookup tables frequently fail to identify exact issuing banks or network capabilities. This fragmentation leads to misrouted transactions, increased interchange costs, and elevated decline rates for online merchants.
BinBase addresses this operational bottleneck through an 11-to-6 digit Waterfall Lookup system. The dataset maps complex sub-ranges down to the issuer level while maintaining backward compatibility with legacy payment engines.
“Precision at the issuer lookup level is critical for modern payment routing,” said Michael Evans, Director at BinBase. “Our 2026 dataset equips processors and merchants with 29 granular attributes per BIN range, including Reg II Durbin exemption status, Fast Funds capability, and regional co-badging indicators.”
Key Features of the 2026 BinBase Release
High-Precision Sub-Range Mapping: Resolves 11-digit and 8-digit tokenized ranges to ensure accurate transaction routing.
Co-Badged Scheme Support: Identifies dual-network cards across European (Carte Bancaire) and international payment schemes.
Daily Updates & Formats: Available as flat CSV, SQLite, and PostgreSQL database dumps for seamless local caching.
To facilitate developer integration, BinBase has published an open-schema specification and sample dataset on GitHub: https://github.com/BinBaseDatabase
About BinBase
BinBase provides enterprise payment intelligence data to merchants, payment service providers, and financial institutions worldwide, helping optimize card authorization rates and prevent transaction fraud. For more information, user can visit https://www.binbase.com.
Contact
Director Fedor Lavrikoff BinBase sales@binbase.com
MEXC, a pioneer in 0-fee digital asset trading, today released its May–June bimonthly security report, reinforcing its role as a trusted global gateway where security and trust always come first. The audit indicates that MEXC’s Futures Insurance Fund surpassed a landmark threshold of 750 million USDT as of June 29, marking a substantial 34% expansion over the preceding reporting period. Concurrently, reserve verification data confirm that the coverage ratios for BTC, ETH, USDT, and USDC all remained safely above 100%, with Bitcoin delivering a reserve ratio of 269.35%.
During May–June, crypto security incidents remained elevated across the industry. According to aggregated data from major blockchain monitoring agencies, 142 independent security incidents were confirmed during the period, resulting in approximately US$194 million in verifiable financial losses. DeFi security incidents accounted for 55% of total incidents, with related losses of approximately US$150 million. Cross-chain bridges, private key management, and user endpoints emerged as the three major weak points in the industry’s security landscape during the period.
Against this backdrop, asset reserve transparency and risk-buffering capacity have become important foundations for user protection across trading platforms.
Futures Insurance Fund Grows to 751 Million USDT
Quantifying this safety buffer, the total balance of MEXC Futures Insurance Fund reached 751 million USDT by the June 29 close, marking a net capital inflow of over 191 million USDT relative to the prior bimonthly disclosure. This dedicated capital reserve serves as a primary systemic countermeasure designed to absorb unexpected liquidation slippage during periods of heightened market volatility.
By neutralizing excess delta risk, the fund systematically reduces the likelihood of activating Auto-Deleveraging (ADL) protocols, thereby ensuring orderly clearing conditions across all active derivatives markets. Real-time solvency tracking and live reserve balances remain continuously auditable via the public MEXC Proof of Trust interface.
Major Assets Continue to Maintain Excess Reserves, with BTC Reserve Ratio Reaching 269.35%
In addition to providing a risk buffer for the futures market, MEXC continues to enhance asset transparency through its Proof of Reserves mechanism, allowing users to verify asset backing directly on-chain.
As of the reporting date, reserve ratios for major assets were as follows:
BTC: Reserve ratio of 269.35%, with 12,656.63 BTC held in wallets, corresponds to 4,698.90 BTC in user assets.
ETH: Reserve ratio of 118.14%, with 77,527.30 ETH held in wallets.
USDT: Reserve ratio of 113.95%, with approximately 2.139 billion USDT held in wallets.
USDC: Reserve ratio of 125.41%, with approximately 95.41 million USDC held in wallets.
These reserve figures are publicly verifiable through on-chain wallet addresses and MEXC’s Merkle Tree-based Proof of Reserves system, enabling users to independently verify asset coverage.
Maintaining platform-wide custody standards, the MEXC Guardian Fund continues to operate its rigorous dual-reserve architecture consisting of USDT and BTC allocations. Every underlying crypto-asset remains fully segregated, verifiable, and tied to on-chain addresses that are permanently open to public audit. The strategic asset expansion roadmap previously disclosed by the corporate risk team remains fully underway.
From risk identification to asset recovery, throughout the Entire Trading Journey
During May–June, user-side attacks also continued to increase. Phishing scams and endpoint & supply chain security incidents resulted in approximately US$28.59 million in related losses, highlighting the growing importance of account risk identification, external support for suspicious fund investigations, and asset recovery capabilities.
In terms of related user protection mechanisms, risk mitigation within the MEXC infrastructure extends far beyond baseline asset reserves, integrating advanced account risk identification, external forensic investigations into funds, and systematic recovery protocols for misdirected transfers.
During the May–June performance window, the platform’s financial intelligence unit successfully flagged and restricted 9,518 accounts linked to organized illicit syndicates, effectively dismantling 4,394 distinct fraudulent networks.
Geographically, these illicit operations exhibited high concentration vectors within two primary jurisdictions:
Commonwealth of Independent States (CIS) Region: 2,096 fraudulent networks neutralized.
Indonesia: 1,229 fraudulent networks neutralized.
In parallel with internal containment, MEXC significantly expanded its judicial and law-enforcement cooperation protocols. The compliance department processed 497 external statutory investigation requests, which included the successful execution of 53 judicial asset-freezing mandates. Furthermore, the platform’s real-time transaction monitoring systems intercepted 7 high-risk inbound illicit fund transfers, freezing a total of 303,277 USDT before it could contaminate the exchange’s broader liquidity pools.
Addressing user-side transactional errors, MEXC manually processed 812 individual asset recovery requests involving erroneous cross-chain deposits and misdirected transfers, successfully remediating assets valued at 343,515 USDT. Every sub-case was subjected to a dual-layer review protocol that combined manual asset verification with on-chain forensic auditing. Compliance teams deployed advanced multi-ledger cross-chain tracing techniques to locate, isolate, and safely return the misrouted capital to its rightful owners.
Vugar Usi, CEO of MEXC, said, “True trust is not built on promises made before risks emerge, but on whether protection remains visible and verifiable when challenges arise. With our Futures Insurance Fund surpassing 750 million USDT, together with publicly verifiable Proof of Reserves, we are reinforcing MEXC’s role as a trusted global gateway where security and trust always come first, ensuring all user’s assets are safeguarded.”
About MEXC
MEXC is the world’s fastest-growing cryptocurrency exchange, trusted by more than 40 million users across 170+ markets. Built on a user-first philosophy, MEXC offers industry-leading 0-fee trading and access to over 3,000 digital assets. As the Gateway to Infinite Opportunities, MEXC provides a single platform where users can easily trade cryptocurrencies alongside tokenized assets, including stocks, ETFs, commodities, and precious metals.
MEXC, a pioneer in 0-fee digital asset trading, today released its May–June bimonthly security report, reinforcing its role as a trusted global gateway where security and trust always come first. The audit indicates that MEXC’s Futures Insurance Fund surpassed a landmark threshold of 750 million USDT as of June 29, marking a substantial 34% expansion over the preceding reporting period. Concurrently, reserve verification data confirm that the coverage ratios for BTC, ETH, USDT, and USDC all remained safely above 100%, with Bitcoin delivering a reserve ratio of 269.35%.
During May–June, crypto security incidents remained elevated across the industry. According to aggregated data from major blockchain monitoring agencies, 142 independent security incidents were confirmed during the period, resulting in approximately US$194 million in verifiable financial losses. DeFi security incidents accounted for 55% of total incidents, with related losses of approximately US$150 million. Cross-chain bridges, private key management, and user endpoints emerged as the three major weak points in the industry’s security landscape during the period.
Against this backdrop, asset reserve transparency and risk-buffering capacity have become important foundations for user protection across trading platforms.
Futures Insurance Fund Grows to 751 Million USDT
Quantifying this safety buffer, the total balance of MEXC Futures Insurance Fund reached 751 million USDT by the June 29 close, marking a net capital inflow of over 191 million USDT relative to the prior bimonthly disclosure. This dedicated capital reserve serves as a primary systemic countermeasure designed to absorb unexpected liquidation slippage during periods of heightened market volatility.
By neutralizing excess delta risk, the fund systematically reduces the likelihood of activating Auto-Deleveraging (ADL) protocols, thereby ensuring orderly clearing conditions across all active derivatives markets. Real-time solvency tracking and live reserve balances remain continuously auditable via the public MEXC Proof of Trust interface.
Major Assets Continue to Maintain Excess Reserves, with BTC Reserve Ratio Reaching 269.35%
In addition to providing a risk buffer for the futures market, MEXC continues to enhance asset transparency through its Proof of Reserves mechanism, allowing users to verify asset backing directly on-chain.
As of the reporting date, reserve ratios for major assets were as follows:
BTC: Reserve ratio of 269.35%, with 12,656.63 BTC held in wallets, corresponds to 4,698.90 BTC in user assets.
ETH: Reserve ratio of 118.14%, with 77,527.30 ETH held in wallets.
USDT: Reserve ratio of 113.95%, with approximately 2.139 billion USDT held in wallets.
USDC: Reserve ratio of 125.41%, with approximately 95.41 million USDC held in wallets.
These reserve figures are publicly verifiable through on-chain wallet addresses and MEXC’s Merkle Tree-based Proof of Reserves system, enabling users to independently verify asset coverage.
Maintaining platform-wide custody standards, the MEXC Guardian Fund continues to operate its rigorous dual-reserve architecture consisting of USDT and BTC allocations. Every underlying crypto-asset remains fully segregated, verifiable, and tied to on-chain addresses that are permanently open to public audit. The strategic asset expansion roadmap previously disclosed by the corporate risk team remains fully underway.
From risk identification to asset recovery, throughout the Entire Trading Journey
During May–June, user-side attacks also continued to increase. Phishing scams and endpoint & supply chain security incidents resulted in approximately US$28.59 million in related losses, highlighting the growing importance of account risk identification, external support for suspicious fund investigations, and asset recovery capabilities.
In terms of related user protection mechanisms, risk mitigation within the MEXC infrastructure extends far beyond baseline asset reserves, integrating advanced account risk identification, external forensic investigations into funds, and systematic recovery protocols for misdirected transfers.
During the May–June performance window, the platform’s financial intelligence unit successfully flagged and restricted 9,518 accounts linked to organized illicit syndicates, effectively dismantling 4,394 distinct fraudulent networks.
Geographically, these illicit operations exhibited high concentration vectors within two primary jurisdictions:
Commonwealth of Independent States (CIS) Region: 2,096 fraudulent networks neutralized.
Indonesia: 1,229 fraudulent networks neutralized.
In parallel with internal containment, MEXC significantly expanded its judicial and law-enforcement cooperation protocols. The compliance department processed 497 external statutory investigation requests, which included the successful execution of 53 judicial asset-freezing mandates. Furthermore, the platform’s real-time transaction monitoring systems intercepted 7 high-risk inbound illicit fund transfers, freezing a total of 303,277 USDT before it could contaminate the exchange’s broader liquidity pools.
Addressing user-side transactional errors, MEXC manually processed 812 individual asset recovery requests involving erroneous cross-chain deposits and misdirected transfers, successfully remediating assets valued at 343,515 USDT. Every sub-case was subjected to a dual-layer review protocol that combined manual asset verification with on-chain forensic auditing. Compliance teams deployed advanced multi-ledger cross-chain tracing techniques to locate, isolate, and safely return the misrouted capital to its rightful owners.
Vugar Usi, CEO of MEXC, said, “True trust is not built on promises made before risks emerge, but on whether protection remains visible and verifiable when challenges arise. With our Futures Insurance Fund surpassing 750 million USDT, together with publicly verifiable Proof of Reserves, we are reinforcing MEXC’s role as a trusted global gateway where security and trust always come first, ensuring all user’s assets are safeguarded.”
About MEXC
MEXC is the world’s fastest-growing cryptocurrency exchange, trusted by more than 40 million users across 170+ markets. Built on a user-first philosophy, MEXC offers industry-leading 0-fee trading and access to over 3,000 digital assets. As the Gateway to Infinite Opportunities, MEXC provides a single platform where users can easily trade cryptocurrencies alongside tokenized assets, including stocks, ETFs, commodities, and precious metals.
A self-hosted LLM connected to the platform’s ledger, KYC/KYB, KYT, and audit trail takes over the routine layer of AML investigations – while every decision with regulatory consequences stays with a human
FinHarbor, a technical platform provider for launching compliant, modular financial products, has announced the launch of its AI Act-ready compliance module – an AI co-investigator that works on top of the platform’s existing compliance stack and is deployed entirely inside the client’s own infrastructure.
The timing matters. On 2 August 2026, the EU AI Act’s transparency obligations take effect for customer-facing AI systems, while the recently adopted simplification package moved the high-risk requirements to December 2027 – a preparation window, not an amnesty. FinHarbor’s answer is a module designed around the Act’s logic from day one: documented, supervised, and architecturally incapable of acting alone.
The problem: compliance teams drowning in false alarms
The economics of AML operations are well documented. According to Google Cloud, more than 95% of alerts generated by rules-based AML systems turn out to be false positives at first review, and roughly 98% never result in a suspicious activity report. Compliance teams at growing platforms spend the bulk of their time reconstructing cases from disconnected tools rather than investigating genuine risk.
The industry results from applying AI to this layer are equally documented. HSBC, working with Google Cloud, cut alert volumes by more than 60% while identifying two to four times more genuinely suspicious activity. In a Coforge deployment at a leading US bank, an AI-powered alert optimization framework reduced false positives by 70% and improved fraud detection rates by 35%.
What the module does
FinHarbor’s co-investigator operates across the platform’s unified ledger, KYC/KYB, KYT, transaction monitoring, and append-only audit trail. In practice, it:
Pulls client and transaction data on demand. An analyst asks a question in plain language; the module queries the platform’s databases directly – no SQL, no waiting for a data team.
Clears the routine layer of AML alerts. Recurring false positives are classified and closed with documented reasoning, leaving human analysts only the cases that warrant judgment.
Assembles the full case. Transactions, counterparties, KYC/KYB history, on-chain trail from KYT, sanctions and PEP screening results – linked into a single investigation profile instead of a manual reconstruction across tools.
Drafts SAR/STR narratives. The module prepares the regulatory filing in the accepted format; the compliance officer reviews, edits, and signs.
Prioritizes the investigation queue by risk score, so the highest-risk cases surface first.
Answers regulator and auditor requests with an export from the unified audit trail rather than a manual evidence-gathering exercise.
A co-investigator, not an autopilot
The module’s operating principle is built into its architecture: AI investigates, humans decide. It never files a SAR, blocks an account, or takes any action with regulatory consequences on its own – every such step requires a human signature. This human oversight model, together with system documentation and model risk management, is how the module addresses the AI Act’s high-risk regime, while built-in disclosure ensures that in any chat-based scenario users always know they are interacting with AI.
The same architecture covers DORA: the append-only audit log meets third-party oversight requirements and streams directly into the client’s SIEM.
Deployed inside the perimeter, not in someone else’s cloud
The module runs as a self-hosted LLM within the client’s own environment, connected to the platform’s modules and databases through an MCP server behind the client’s authentication. Setup means scoping access – which modules and accounts the model can read, under which API keys and limits – selecting the model, and configuring redaction rules for regulated fields. Documentation and human oversight are part of the deployment, not an add-on.
This is also why the module’s relevance extends well beyond the EU. The core design principle – regulated data never leaves the client’s perimeter – answers the same requirement under GDPR, UK GDPR, Switzerland’s revFADP, Brazil’s LGPD, and Saudi Arabia’s PDPL. The AI Act is the entry point, not the boundary.
“Compliance teams don’t need another dashboard – they need the routine taken off their hands without giving up control,” said Ilya Podoynitsyn, CEO of FinHarbor. “Our co-investigator reads the same ledger, the same KYC files, the same on-chain data our platform already maintains, and does the legwork: assembles the case, drafts the narrative, documents every step. But nothing that matters to a regulator happens without a human signature. That’s not a limitation we accepted – it’s the design principle we started from.”
The module is currently running in pilots on several client projects. The underlying infrastructure – MCP and self-hosted LLM deployment within the client perimeter – is already part of the FinHarbor platform and publicly documented. The module is delivered as part of the platform, with commercial terms defined per deployment.
About FinHarbor
FinHarbor is a technical platform provider for launching compliant, modular financial products – from wallets and neobanks to crypto ramps and OTC desks. Built on years of real-world fintech experience, the platform covers onboarding, compliance, wallets, transactions, cards, and reporting, delivered with a microservice-based architecture (ISO/PCI DSS-certified), a robust API layer, and on-premise or cloud-ready deployment. FinHarbor supports fiat-only, crypto-native, and hybrid business models across markets in Europe, MENA, and beyond.
A self-hosted LLM connected to the platform’s ledger, KYC/KYB, KYT, and audit trail takes over the routine layer of AML investigations – while every decision with regulatory consequences stays with a human
FinHarbor, a technical platform provider for launching compliant, modular financial products, has announced the launch of its AI Act-ready compliance module – an AI co-investigator that works on top of the platform’s existing compliance stack and is deployed entirely inside the client’s own infrastructure.
The timing matters. On 2 August 2026, the EU AI Act’s transparency obligations take effect for customer-facing AI systems, while the recently adopted simplification package moved the high-risk requirements to December 2027 – a preparation window, not an amnesty. FinHarbor’s answer is a module designed around the Act’s logic from day one: documented, supervised, and architecturally incapable of acting alone.
The problem: compliance teams drowning in false alarms
The economics of AML operations are well documented. According to Google Cloud, more than 95% of alerts generated by rules-based AML systems turn out to be false positives at first review, and roughly 98% never result in a suspicious activity report. Compliance teams at growing platforms spend the bulk of their time reconstructing cases from disconnected tools rather than investigating genuine risk.
The industry results from applying AI to this layer are equally documented. HSBC, working with Google Cloud, cut alert volumes by more than 60% while identifying two to four times more genuinely suspicious activity. In a Coforge deployment at a leading US bank, an AI-powered alert optimization framework reduced false positives by 70% and improved fraud detection rates by 35%.
What the module does
FinHarbor’s co-investigator operates across the platform’s unified ledger, KYC/KYB, KYT, transaction monitoring, and append-only audit trail. In practice, it:
Pulls client and transaction data on demand. An analyst asks a question in plain language; the module queries the platform’s databases directly – no SQL, no waiting for a data team.
Clears the routine layer of AML alerts. Recurring false positives are classified and closed with documented reasoning, leaving human analysts only the cases that warrant judgment.
Assembles the full case. Transactions, counterparties, KYC/KYB history, on-chain trail from KYT, sanctions and PEP screening results – linked into a single investigation profile instead of a manual reconstruction across tools.
Drafts SAR/STR narratives. The module prepares the regulatory filing in the accepted format; the compliance officer reviews, edits, and signs.
Prioritizes the investigation queue by risk score, so the highest-risk cases surface first.
Answers regulator and auditor requests with an export from the unified audit trail rather than a manual evidence-gathering exercise.
A co-investigator, not an autopilot
The module’s operating principle is built into its architecture: AI investigates, humans decide. It never files a SAR, blocks an account, or takes any action with regulatory consequences on its own – every such step requires a human signature. This human oversight model, together with system documentation and model risk management, is how the module addresses the AI Act’s high-risk regime, while built-in disclosure ensures that in any chat-based scenario users always know they are interacting with AI.
The same architecture covers DORA: the append-only audit log meets third-party oversight requirements and streams directly into the client’s SIEM.
Deployed inside the perimeter, not in someone else’s cloud
The module runs as a self-hosted LLM within the client’s own environment, connected to the platform’s modules and databases through an MCP server behind the client’s authentication. Setup means scoping access – which modules and accounts the model can read, under which API keys and limits – selecting the model, and configuring redaction rules for regulated fields. Documentation and human oversight are part of the deployment, not an add-on.
This is also why the module’s relevance extends well beyond the EU. The core design principle – regulated data never leaves the client’s perimeter – answers the same requirement under GDPR, UK GDPR, Switzerland’s revFADP, Brazil’s LGPD, and Saudi Arabia’s PDPL. The AI Act is the entry point, not the boundary.
“Compliance teams don’t need another dashboard – they need the routine taken off their hands without giving up control,” said Ilya Podoynitsyn, CEO of FinHarbor. “Our co-investigator reads the same ledger, the same KYC files, the same on-chain data our platform already maintains, and does the legwork: assembles the case, drafts the narrative, documents every step. But nothing that matters to a regulator happens without a human signature. That’s not a limitation we accepted – it’s the design principle we started from.”
The module is currently running in pilots on several client projects. The underlying infrastructure – MCP and self-hosted LLM deployment within the client perimeter – is already part of the FinHarbor platform and publicly documented. The module is delivered as part of the platform, with commercial terms defined per deployment.
About FinHarbor
FinHarbor is a technical platform provider for launching compliant, modular financial products – from wallets and neobanks to crypto ramps and OTC desks. Built on years of real-world fintech experience, the platform covers onboarding, compliance, wallets, transactions, cards, and reporting, delivered with a microservice-based architecture (ISO/PCI DSS-certified), a robust API layer, and on-premise or cloud-ready deployment. FinHarbor supports fiat-only, crypto-native, and hybrid business models across markets in Europe, MENA, and beyond.
At the Kazakhstan–China Business Forum in Shanghai, Chairman of the Management Board of Samruk-Kazyna JSC Nurlan Zhakupov highlighted joint projects that are shaping the future of transit and logistics across Eurasia.
“The competitiveness of transport routes no longer depends solely on infrastructure. Data, digital platforms, and artificial intelligence are becoming increasingly important,” he said.
The next stage of cooperation should focus on developing an intelligent transport corridor that integrates modern logistics routes with artificial intelligence, big data, digital twins, and intelligent freight management systems. Today, the joint transport and logistics network connects the Port of Lianyungang, Khorgos Gateway, the Xi’an Terminal, the Aktau Hub, and the ZHETYSU Logistics Complex in Almaty. In 2027, the network will be expanded with the addition of a dry port in Chengdu, further strengthening the route from China’s Pacific coast through Kazakhstan and the Caspian Sea to Europe.
The development of the transport corridor is being supported by large-scale infrastructure projects. The construction of the Bakhty–Ayagoz railway line will establish the third rail border crossing between Kazakhstan and China, with an annual capacity of up to 25 million tonnes.
“Together, we will strengthen the Middle Corridor as one of the key transport routes of the 21st century,” Nurlan Zhakupov said.
Samruk-Kazyna serves as Co-Chair of the Kazakhstan–China Business Council, with China’s CITIC Group serving as the Chinese Co-Chair. Following the Council’s two most recent meetings, more than 110 commercial agreements worth approximately USD 20 billion have been signed across the energy, transport, digitalisation, and industrial sectors.
Nurlan Zhakupov, Chairman of the Management Board of Samruk-Kazyna JSC, met with Phillip Gan, President of Huawei for the Middle East and Central Asia.
The parties discussed the implementation of joint projects and the prospects for further cooperation in digitalization, telecommunications, and artificial intelligence. They also reviewed cooperation on the development and modernization of telecommunications and IT infrastructure, including data transmission and communications networks, data centers, server and networking equipment, data storage systems, and other digital infrastructure.
Nurlan Zhakupov noted that Huawei is one of the world’s leading technology companies and emphasized that the implementation of joint initiatives will mark an important step in Kazakhstan’s digital transformation, support the development of high-tech infrastructure, and strengthen the country’s position in the global technology landscape.
West Red Lake Gold delivered strong second-quarter operating results, increasing mined tonnes by 46%, mined ounces by 73%, and gold production by 51% quarter-over-quarter while building a surface stockpile and remaining on track to meet its 2026 production guidance of 35,000–45,000 ounces.
Mined tonnage increased 46% to 75,524 tonnes in Q2 from 51,616 tonnes in Q1, while mined ounces increased 73% to 10,459 ounces from 6,033 ounces in the first quarter, reflecting both higher mining rates and an increase in average mined grade.
Gold production totalled 8,576 ounces during Q2 2026, representing a 51% increase from the 5,667 ounces produced in Q1 2026.
Due to increased mine productivity, a surface stockpile of approximately 10,768 tonnes had been generated by the end of Q2, representing approximately 1,500 contained ounces of gold based on estimated grades.
The mill achieved average processing rates of approximately 842 tonnes per day (tpd). Over the second half of 2026, processing rates are expected to increase to approximately 1,000 tpd.
“Q2 demonstrated that the development-focused strategy implemented during the first half of 2026 is translating into measurable operating improvements as mine sequencing advanced to unlock multiple stoping fronts and operational flexibility continued to improve,” stated Shane Williams, CEO of West Red Lake Gold
“During the quarter, the mill sustained processing rates of approximately 842 tpd while underground mining rates averaged 878 tpd earlier in the quarter, however from mid quarter onward we mined over 1,000 tpd, allowing us to build a surface stockpile equivalent to approximately half a month of mill feed inventory.”
“Our ability to generate a stockpile of this size speaks to the operational efficiency of the team and our ability to mine at rates that exceed the currently permitted mill throughput of 800 tpd. Mining rates in excess of current mill capacity are an important indicator that the Mine is developing greater flexibility and overall consistency for sustained operations.”
“As processing rates during the first half of the year reflected the early stages of the ramp up, we expect throughput to continue increasing over the balance of the year toward a sustained processing rate of up to 1,000 tpd,” continued Williams. “The operational improvements demonstrated during Q2 reinforces our view that Madsen remains on track to achieve full-year production guidance of 35,000 to 45,000 ounces of gold.”
West Red Lake Gold is executing a hub-and-spoke growth strategy. The Madsen mill and infrastructure is intended to serve as a central processing hub for multiple past producing high-grade deposits across the Red Lake District. WRLG believe this multi-asset approach will provide greater operational flexibility, expand margins, extend mine life, and support a larger production profile over time.
“Despite relatively limited drilling since the June 2025 estimate, we have significantly grown the resource, most importantly in the Indicated category, thereby de-risking the project while also enhancing its quality,” stated Williams. “Overall, Rowan is developing into a highly robust satellite deposit.”
Rowan Indicated gold ounces increased by 70% to 334,825 ounces @13.03 grams per tonne (g/t) gold, compared to 196,747 ounces @12.78 g/t gold in the 2025 MRE (See news release dated July 8, 2025).
Rowan Inferred gold ouncesincreased by 52% to 179,013 oz grading 15.31 g/t Au, compared to 421,181 tonnes containing 118,155 oz grading 8.73 g/t Au in the 2025 MRE.
Minimal exploration expenditure of C$3.5 million, combined with low drilling meters of 6,300 metres, represented a modest discovery cost of approximately C$17.60/oz gold.
In this July 14, 2026 Kitco News interview, Brien Lundin, the executive editor of Gold Newsletter and host of the New Orleans Investment Conference, explains why he believes gold’s 4-month swoon from $5,500 per ounce to $4,000 was a “classic washout” not a breakdown.
“We’re in a market now that’s being driven by western traders and investors,” Lundin told Kitco. “Central bank buying is less of a driver and more of a support to the price. It’s a typical bull market, where we have furious rallies, then stomach-churning drops that test your mettle. It’s nothing unusual.”
“Trump wants to lower interest rates,” added Lundin. “The simple math of the US debt and deficit demands lower rates, so it’s going to happen.”
When interest rates drop, the price of gold typically rises because it reduces the opportunity cost of holding gold compared to interest-bearing assets like bonds. Historically, falling interest rates often lead to a weaker U.S. dollar, making gold cheaper for international buyers, further driving up demand.
The total U.S. national debt is currently $39.51 trillion, translating to a debt burden of $117,000 for every U.S. citizen. Interest on the US national debt is now about $1 trillion annually, exceeding Medicare spending for the first time.
“The cost of servicing that debt needs to be lower than the rate at which the currency is depreciating,” Lundin stated in a 2024 interview. “Otherwise, the entire house of cards collapses.” Lundin has speculated that gold may rise to $6,000-$8,000 within the current cycle.
During ramp-up phase in 2025, West Red Lake Gold Mines generated C$103 million in total gold revenues. Investing in a junior gold miner with rising production and free cash flow, is one way to hedge against the effects of exploding U.S. debt, and spirally interest payment obligations.
Source: Congressional Budget Office
TheMadsen Mine has recently achieved commercial production and is positioned as the central hub of a growing multi asset platform. WRLG controls a 47 km² land package in one of the world’s most prolific mining districts, which has historically produced over 20 million ounces of gold from high grade systems. [1]
The technical information presented in this news release has been reviewed and approved by Will Robinson, P.Geo., Vice President of Exploration for West Red Lake Gold and the Qualified Person for exploration at the West Red Lake Project, and by Hayley Halsall-Whitney, P.Eng., Vice President of Operations for West Red Lake Gold and the Qualified Person for technical services at the West Red Lake Project, as defined by National Instrument 43-101 – Standards of Disclosure for Mineral Projects. Mr. Robinson and Ms. Halsall-Whitney are not independent of WRLG.
1. Twomey, T. and McGibbon, S. Red Lake Mine, Goldcorp Inc. (2022). “The Geological Setting and Estimation of Gold Grade of the High-Grade Zone, Red Lake Mine.” Exploration Mining Geology, Vol. 10, Nos. 1–2, pp. 19–34. Canadian Institute of Mining, Metallurgy and Petroleum (“CIM”).
Contact: guy.bennett@globalstocksnews.com
Disclaimer: West Red Lake Gold paid Global Stocks News (GSN) $1,750 for the research, writing and dissemination of this content.
Full Disclaimer: GSN researches and fact-checks diligently, but we cannot ensure our publications are free from error. Investing in publicly traded stocks is speculative and carries a high degree of risk.
Hong Kong S.A.R., 20th Jul 2026 – moove.xyz, a global Web3 fintech platform built for the permissionless and effortless movement of value, has officially launched Moove Ramp in Nigeria to empower one-click conversion from USDC or USDT to Naira and Naira to USDC or USDT — giving local consumers and businesses an instant, low-cost bridge between stablecoins and their bank accounts.
With a mission to make stablecoin money movement as effortless as sending a message with Moove Profile, moove.xyz introduces Moove Ramp — a fast, non-custodial ramp built for Nigerian merchants, freelancers, and businesses who want to accept stablecoins and settle in Naira without friction. With Moove Ramp, a business can complete KYC in under two minutes, link a local bank account, and convert USDC or USDT to Naira in less than 30 seconds — no P2P haggling, no waiting, and no high middleman fees.
“Our vision with Moove Ramp is to give every business in Nigeria a direct, one-click path between stablecoins and their local currency,” said moove.xyz in a company statement. “For too long, converting USDC or USDT to Naira has meant navigating P2P marketplaces, unpredictable rates, and layers of intermediaries who quietly erode value at every step. With Moove Ramp, businesses can accept stablecoins, verify in under two minutes, and cash out to Naira in seconds — instantly, transparently, and at the best rate available. This is a major milestone in making global stablecoin payments as effortless as sending a message.”
The launch comes at a time when stablecoin adoption across Nigeria is accelerating, yet converting digital dollars into spendable Naira remains slow, opaque, and expensive. Many businesses still rely on peer-to-peer marketplaces that expose them to price manipulation, settlement delays, and hidden fees, while centralised exchanges add their own spreads and withdrawal frictions. Moove Ramp removes these barriers entirely — offering a single, transparent flow from stablecoin to bank account with predictable, near-instant settlement.
Independent market research shows that Moove Ramp delivers the best rate for converting USDC and USDT to Naira — outperforming leading platforms including Binance, Bybit, and Spenda. By routing conversions through optimised on-chain settlement and cutting out the P2P middlemen, moove.xyz passes more value back to the business, ensuring that what a merchant earns in stablecoins is what they keep in Naira.
Looking ahead, moove.xyz is preparing to bring Moove Ramp and Moove App to more markets — including Kenya, South Africa, India, Bangladesh, Pakistan, and Indonesia — in the coming months, extending one-click stablecoin-to-local-currency conversion to businesses across Africa and Asia. With Moove Ramp’s launch in Nigeria, moove.xyz takes a major step toward its long-term mission to onboard the next 1 billion Web3 users — redefining how digital value moves across the world, one market at a time.
About moove.xyz
moove.xyz is a global Web3 fintech platform built for the permissionless and effortless movement of value. We empower businesses and consumers anywhere to transact and convert any crypto and any fiat — all in one single platform.
We are one of the first Web3 fintech companies globally to innovate and build a full-stack payments and decentralised finance infrastructure, enabling an integrated and comprehensive coverage across multi-chain non-custodial wallets, personalised wallet handles, cross-chain token swaps, automatic cross-chain settlement, embedded on-ramp and off-ramp transactions, agentic payments, and a decentralised social financial network. Our key products include Moove Profile, Moove Send, Moove Receive, Moove Swap, Moove Ramp, Moove Agents, Moove Manage, Moove Discover and more.
Our mission is simple — to create and distribute permissionless and effortless financial technology for the next 1 billion Web3 users. We fundamentally believe that the future of the movement of money and value shall be costless, borderless, permissionless, effortless, and built for everyone — and we’re building the ultimate Web3 fintech platform to make that future real.
Replaces the fixed “Period 1 / Period 2” grid with a continuous, minute-level timeline that’s ideal for lower schools that need scheduling flexibility
Israel, 20th Jul 2026 — ScheduLearn, the school scheduling software that uses AI algorithms to generate rapid, optimal schedules, today announced the debut of its Mini Periods feature. Mini Periods comprises a new time-based scheduling mode built for elementary/lower schools, which generally don’t run on a period system. It replaces the fixed “Period 1 / Period 2” grid with a continuous, minute-level timeline. As a result, these schools can build a complete, automatic schedule that matches how their day actually works.
“A period-based tool doesn’t do well representing an elementary day, so those schools were effectively unsupported and had to undertake the laborious process of scheduling by hand,” explained Eliyahu Masinter, Co-Founder of ScheduLearn. “Most scheduling software is meant for secondary schools, which run on periods, with bells ringing regularly throughout the day. In contrast, elementary schools generally don’t work this way. Their day is a sequence of variable-length activities, such as a 15-min morning meeting, a 45-min literacy block, a 20-min snack, a specials rotation, recess, and so forth. This is the problem we are solving with Mini Periods.”
ScheduLearn Mini Periods:
Models the day as a continuous timeline instead of a fixed grid.
Enables each lesson to have its own length in minutes, rather than a preset period of time.
Allows for teacher meetings to overlap with specials, e.g., Gym, Art, Music, etc., so teachers can meet while their class is in an activity.
Builds the whole schedule automatically, accounting for all the variation in lessons and all the teacher requirements.
Mini Periods is compatible with period-based schedules. It can be configured to intersect with a time-based schedule. This is a common situation for institutions that combine elementary school and middle school, for instance.
ScheduLearn is an Israel-based software-as-a-service (SaaS) school scheduling software that uses AI algorithms to generate rapid, optimal schedules. It enables schools to avoid spending weeks or months creating their schedules. Instead, with ScheduLearn, a school can generate an effective schedule in just minutes. The software identifies conflicts and suggests solutions to resolve them.
