The naira depreciated to N1, 615 per dollar in the parallel market from N1,610 per dollar on Monday.
Likewise, the Naira depreciated to N1,602 per dollar in the Nigerian Foreign Exchange Market (NFEM).

Data published by the Central Bank of Nigeria, CBN, showed that the indicative exchange rate for the naira rose to N1,602 per dollar from N1,596 per dollar on Monday, indicating N6 depreciation for the naira.

Consequently, the margin between the parallel market and NFEM rate narrowed to N13 per dollar from N14 per dollar on Monday.

The Nigerian stock market opened the week on a bullish note on Monday, gaining N228 billion on the Nigerian Exchange Ltd.

Market capitalisation rose by N228 billion or 0.34 per cent and closed at N66.693 trillion compared to Friday’s figure of N66.465 trillion.

Similarly, the All-Share Index (ASI) climbed by 363.57 points or 0.34 per cent, reaching 106,116.18 from 105,752.61 recorded earlier.

The Nigerian stock market opened the week on a bullish note on Monday, gaining N228 billion on the Nigerian Exchange Ltd.

Market capitalisation rose by N228 billion or 0.34 per cent and closed at N66.693 trillion compared to Friday’s figure of N66.465 trillion.

Similarly, the All-Share Index (ASI) climbed by 363.57 points or 0.34 per cent, reaching 106,116.18 from 105,752.61 recorded earlier.

The positive trend was driven by strong buying interest in medium and large-cap stocks including International Breweries, Legend Internet Plc, Cadbury Nigeria, Fidson and more.

In spite of the upward trend, the market breadth closed positively, with 47 gainers and 16 losers.

International Breweries led the gainers’ chart, rising by 10 per cent to close at N8.47 per share.

Legend Internet Plc followed, appreciating by 9.97 per cent to settle at N7.50 per share.

Cadbury Nigeria gained by 9.96 per cent, and end the day at N29.25, while Fidson rose by 9.95 per cent to close at N20.45 per share.

Eterna also advanced by 9.90 per cent to close at N43.85 per share.

On the losers’ chart, Livestock Feeds dropped by 10 per cent, closing at N8.55 per share.

Aradel Holdings declined by 9.86 per cent to end the session at N448.00 per share

Tripple Gee fell by 9.60 per cent to close at N1.79, while John Holt Plc shed 7.94 per cent to close at N5.80 per share.

Linkage Assurance lost by 6.15 per cent, and finished the day at N1.22 per share.

A total of 500.59 million shares worth N12.110 billion were traded in 17,637 transactions.

This is compared to Friday’s 428.08 million shares worth N20.174 billion, exchanged across 14,284 transactions.

Access Corporation led the activity chart with 60.867 million shares traded, which was worth N1.45 billion.

Fidelity Bank followed with 56.105 million shares valued at N1.13 billion while the United Bank for Africa sold 34.53 million shares worth N1.174 billion.

Guarantee Trust Holding Company transacted 33.49 million shares valued at N2.181 billion and the Nigerian Breweries traded 28.336 million shares, amounting to N1.15 billion.

You are just seconds away from sending money – the offer sounds perfect, the seller seems trustworthy and the clock is ticking.

But just before you hit send, one of Nigeria’s leading financial institutions, OPay flashes a critical warning: “Caution – this account has been linked to suspicious activity.”

In that moment, the rush fades, your instincts kick in, and you realise you were on the brink of falling for a scam. One smart alert, one timely pause — and your hard-earned money stays exactly where it should: safe.

This is the power behind OPay’s multi-layered scam alert system — an Artificial Intelligence (AI)-driven, real-time defense network designed to detect and stop fraudulent transactions before they happen.

At the heart of it is a machine learning engine trained on thousands of scam patterns, user reports, flagged accounts, and unusual transaction behaviors. But OPay’s approach goes far beyond a single alert.

How OPay’s scam alert ecosystem works

Abnormal Transaction Pop-Up Reminders

When suspicious behavior is detected, OPay immediately interrupts the flow with a clear, targeted pop-up message. Every day, over 60,000 users receive these urgent fraud warnings — and thanks to that, 30,000 risky transactions are stopped in their tracks.

Intelligent Outbound Call Reminders

For higher-risk transactions, OPay activates a multi-channel response, sending warnings via SMS, email, app notifications, and even escalating to customer service calls. This proactive layer reaches more than 10,000 users daily, discouraging over 8,000 fraudulent transactions.

Interactive Q&A Verification

In cases where more context is needed, users are engaged with real-time Question & Answer (Q&A) prompts to understand the purpose of their transaction. If red flags are confirmed, the system presents a tailored warning or ends the transaction flow altogether. This feature alone helps deter over 46,000 scam attempts daily from the 50,000+ users who interact with it.

Together, these layers form a real-time scam detection and prevention engine that evolves with every user interaction. OPay’s system doesn’t just warn — it learns and adapts, constantly improving its accuracy and response time.

Many users don’t even know they’re in danger until OPay steps in. As one X user, @JAHS, shared: “OPay alerted me that I might be sending money to a scammer when I wanted to patronize an IG vendor. Stopped the transaction ASAP.”

These interventions are happening silently, daily – often before the user even suspects something is wrong.

OPay’s scam alert system is part of a broader philosophy: security is not just about technology – it’s about trust. From scam alerts to Face ID transaction verification, USSD instant account locking, the Large Transaction Shield, and automated callback alerts, every tool is designed to protect users in the moments they can’t predict.

As scams get more sophisticated, the future of financial safety depends on real-time prevention. And OPay isn’t waiting for fraud to happen — it’s stopping it in its tracks. Sometimes, the smartest financial decision you make… is the one OPay helped you avoid.