Over the last few months I’ve noticed way more people suddenly paying attention to copper, mining, AI infrastructure and power demand stories.

Feels completely different compared to even a year ago.

Back then most people barely cared about copper unless they were already deep into commodities or mining stocks. Now you’ve got people talking about:

• AI data centers
• power grid expansion
• electrification
• copper shortages
• domestic supply chains
• junior explorers
• critical minerals

And honestly it makes sense.

The amount of infrastructure being built right now is massive.

Started spending more time researching the sector recently and ended up joining/building a small Discord community around it because Twitter honestly moves too fast and Reddit discussions disappear after a day.

Pretty interesting seeing how many smart people are quietly following this space now.

If anyone else here is into copper/mining/macros/junior explorers feel free to join:
https://discord.gg/zj5AyBDYwC

NXXT’s Q1 report actually has some substance behind the move, not just hype.

Revenue came in at $21.1M, up 29% YoY, and importantly it beat consensus estimates of $18.1M. But the more important detail is what’s happening below the top line.

Gross profit jumped from $518K to $1.7M, while gross margin expanded from 3.2% to 8.1%. That kind of expansion usually points to real operational improvements, not just revenue scaling - likely better routing, higher fleet utilization, and tighter cost control in the fueling segment.

Adjusted EBITDA also improved significantly, with losses narrowing from -$3.4M to -$1.16M. That’s a $2.24M improvement YoY, which is meaningful for a company at this stage.

Interest expense dropping ~80% YoY is another underrated point - it suggests balance sheet pressure is easing at least on the financing side.

Yes, cash at $208K is extremely tight and remains the biggest risk factor here. But from a trading standpoint, the direction of the business metrics is clearly improving.

When you combine this with the broader narrative - AI energy infrastructure, EV charging, microgrids, and mobile fueling - you get a setup where both fundamentals and sentiment are aligning.

This is why the market reaction is so aggressive.

I think most retail investors still picture AI as chips, software, robots, and giant data centers full of blinking servers.

But honestly?

AI might end up becoming one of the biggest copper stories we’ve seen in years.

Every new AI system needs electricity.

Not a little electricity either.

Massive amounts.

And electricity infrastructure is basically a copper story from top to bottom.

The more I read into hyperscale data centers, transmission upgrades, substations, transformers, backup systems, cooling infrastructure, and grid modernization, the more obvious the copper angle becomes.

That’s why the recent NovaRed Mining stuff grabbed my attention.

Not because I think they discovered a mine tomorrow.
Not because of hype.
But because the company seems positioned directly inside a macro trend that is getting bigger every month.

According to projections being discussed across the copper sector, global copper demand could rise from roughly 28 million metric tons annually today to over 42 million metric tons by 2040.

That’s approximately 50% growth.

At the same time, forecasts are pointing toward a potential 10 million metric ton supply shortfall.

And this is where it gets interesting.

Copper itself has already performed well over the past several years, but junior copper miners historically can show much more torque during strong copper cycles.

One comparison I saw from Sprott covering April 2021 through April 2026 showed:

• Junior copper miners up 139.29%
• Copper miners up 90.92%
• US equities up 85.39%
• Commodities up 55.50%
• Copper spot price up 31.35%

That does NOT mean juniors always outperform.

But it does show how discovery leverage can attract capital during copper bull markets.

And NovaRed fits directly into that speculative junior category.

The company trades as CSE: NRED and OTCQB: NREDF.

What surprised me most was the actual size of the Wilmac Copper-Gold Project.

16,078 hectares.

I had to convert it because hectares mean nothing to my brain.

That’s:

• about 160 square kilometers
• almost 40,000 acres
• around 30,000 football fields
• roughly 2.7x the size of Manhattan

That is huge land exposure for a junior explorer.

And on land scale alone, Wilmac actually sits near the same size range as some recognizable copper district footprints globally, including projects larger than several well-known operations people have heard of.

Important distinction though, land size is NOT resource size.

A giant property does not equal a giant discovery.

Still, you generally need scale if you want district-level exploration potential.

Location matters too.

Wilmac is in British Columbia’s Quesnel porphyry belt, approximately 10 km west of Hudbay’s producing Copper Mountain Mine.

Again, nearby mineralization does not prove Wilmac hosts the same thing.

But it absolutely supports the geological relevance of the district.

Then you look at the latest North Lamont results and things start getting more interesting.

NovaRed reported copper-in-soil anomalies up to 379 ppm copper using four-acid near-total digestion methods.

What I liked was that the company actually explained WHY they switched methods.

Older Aqua Regia testing is partial digestion.

The newer four-acid method is more aggressive and can recover more copper from intrusive-related minerals, helping geologists better evaluate fertility indicators.

That’s useful context for people newer to exploration.

The western North Lamont cluster averaged about 209 ppm copper across multiple anomalous samples.

The overlap with magnetic anomalies, Sr/Y fertility signatures, and V/Sc oxidation indicators is what makes the target stand out.

I’m not a geologist, but even I understand the basic logic:
multiple independent datasets all pointing toward the same area is generally better than one random anomaly by itself.

And now there’s another angle entering the story.

MetalCore.

NovaRed just launched onboarding for its AI-assisted exploration platform and reportedly saw 249 applicants register shortly after launch.

Honestly, that number surprised me.

The mining industry has been painfully slow adopting modern software tools compared to other sectors.

But exploration today is drowning in data.

If companies can integrate geophysics, geochemistry, structural geology, historical reports, satellite imagery, and regional analogs into faster ranking systems, that could eventually become extremely valuable.

Not because AI magically discovers copper.

But because exploration efficiency matters.

Especially when drilling costs millions.

I also found the recent interviews with former US Navy commander Phil Ehr interesting.

He talked about copper becoming a national security issue because modern defense systems, electrical grids, drones, satellites, and AI infrastructure all depend heavily on copper supply chains.

That narrative is starting to show up more often now across the sector.

This feels bigger than just another mining cycle.

Personally I think the market is slowly realizing copper is no longer just a construction metal.

It’s becoming foundational infrastructure for electrification and AI expansion.

And when you combine:

• a possible long-term copper deficit
• growing AI electricity demand
• a district-scale BC copper project
• modern AI-assisted exploration workflows
• new geophysics catalysts coming
• and increasing geopolitical focus on domestic copper supply

…it creates a pretty interesting setup for a tiny junior.

Still early.
Still speculative.
Still risky.

NovaRed has no defined resource, no production, and no revenue. Soil geochemistry is not a mine.

But as a watchlist copper speculation tied to the AI infrastructure theme, I honestly think NRED/NREDF is becoming hard to ignore.

Would love to hear if anyone else here is researching junior copper names tied to AI infrastructure demand.

NFA.

I think a lot of people still see NovaRed as “the company with 379 ppm copper soils near Copper Mountain,” but after reading the newest release I’m not sure that description really fits anymore.

The 379 ppm Cu result got attention earlier because it showed meaningful copper anomalism at North Lamont. But the newer interpretation mentions copper-in-soil values reaching 1,125 ppm Cu on trend to the north, broadly associated with near-surface chargeability and deeper conductivity anomalies.

That is a pretty major difference.

To me the important part is not even the raw copper number. It’s the fact that the copper appears connected to a larger interpreted subsurface framework. The company now describes two intrusive bodies that may merge together at depth into a broader composite intrusive complex, with multiple pipe-like features extending upward.

That sounds much more like the kind of setup exploration teams hope to see before drilling.

The AMT depth penetration also stood out. Imaging down to around 4,900 feet means they are not just guessing blindly near surface. They are building an actual 3D interpretation of the system.

Another thing I keep thinking about is scale.

Wilmac is now around 39,700 acres, or roughly 2.7 times the size of Manhattan. That is a massive amount of ground for a junior explorer, especially in a known porphyry belt only about 6 miles from Hudbay Minerals Inc.’s NYSE:HBM Copper Mountain Mine.

A lot of junior miners have one anomaly and one story.

NovaRed increasingly feels like it has multiple layers:

• district-scale land
• geophysics
• geochemistry
• interpreted porphyry centers
• nearby producing benchmark mine
• AI mineral targeting through MetalCore

Feels like the company is trying to build a complete exploration model instead of chasing headlines.

Anyone else think the market may start viewing Wilmac differently after this update?

NFA.

I honestly think most investors still underestimate how much copper AI infrastructure is going to need over the next 10 to 15 years.

People see Nvidia, chips, cloud computing and software. What they don’t see is the physical infrastructure underneath all of it.

Data centers need transformers, substations, cooling systems, switchgear, backup systems, transmission lines and massive grid upgrades. Copper sits inside almost every part of that chain.

The IEA estimates data center electricity demand could climb from roughly 415 TWh in 2024 to around 945 TWh by 2030. At the same time, annual grid investment may need to rise about 50% from the current $400 billion level.

That is a lot of copper demand being added to an already tight market.

And supply growth looks slow.

Some forecasts project copper demand reaching 42 million tonnes by 2040, while potential supply gaps could approach 10 million tonnes if enough new projects are not developed.

This is why I’ve started spending more time looking at exploration companies rather than only large producers.

One name I’ve been researching is NovaRed Mining.

Their Wilmac Project is located in British Columbia’s Quesnel porphyry belt, about 10 km west of Hudbay’s Copper Mountain Mine. The property covers 16,078 hectares, which is huge for a junior explorer.

The recent North Lamont update was actually pretty interesting because it showed how modern exploration is becoming more analytical and data focused.

The company reported 43 soil samples with copper values up to 379 ppm. The western cluster averaged 209 ppm copper and overlapped spatially with a magnetic anomaly.

That overlap matters because exploration success usually improves when multiple indicators point to the same area.

They also identified moderate-to-high Sr/Y fertility signatures and moderate V/Sc oxidation signatures. Those may help indicate a fertile magmatic system capable of supporting copper-gold mineralization.

North Lamont is currently classified as a moderate-priority drill target, but management said it could be upgraded after the IP/AMT survey results come back.

To me, this is the kind of setup that becomes more valuable in a stronger copper cycle. Large land package, active exploration program, multiple datasets converging on targets, and exposure to one of the most important long-term commodity themes.

The part I find interesting is that AI itself may end up helping companies search for the copper needed to build future AI infrastructure.

Kind of a weird feedback loop if you think about it.

Anyone else following smaller copper explorers tied to electrification themes right now?

Not financial advice.

Something I’ve been thinking about lately is how different this current cycle feels compared to what I expected.

Whenever people talk about AI, it’s usually framed like a classic tech story. New tools, better performance, faster adoption. That part makes sense.

But the more I read into it, the more it feels like there’s another layer underneath that doesn’t get as much attention.

I started noticing it when I was reading about how data centers are being scaled globally. Actual facilities, power requirements, grid connections, physical expansion.

That’s when I started looking at the inputs required to support all of this. Not in a deep technical way, just trying to understand what actually goes into building these systems.

And it turns out a lot of it comes down to basic materials.

Copper keeps coming up again and again. It’s not flashy, but it’s everywhere electricity flows.

What makes it interesting is not just the demand side, which seems obvious, but the supply side.

From what I’ve seen, bringing new supply online is a slow process. It can take decades (usually 12-16 years) from early exploration to full production.

That creates a very different dynamic compared to typical tech cycles, where supply can often scale faster.

Here, the physical layer doesn’t move at the same speed as the digital layer.

And that mismatch is what I find interesting.

It feels like something that plays out over a long period of time, gradually reshaping how things are built.

I’m not even looking at it from a trading perspective.

It’s more about understanding how these different layers interact and how that affects the bigger picture.

Now when I hear people talk about AI growth, I automatically think about what supports that growth behind the scenes.

And it makes the whole thing feel more grounded in reality.

Curious how others see this, do you think the infrastructure side of this cycle is getting enough attention or is most of the focus still on the surface layer?

Not advice

Hey everyone,

I randomly found a tool that feels very different from the usual AI stuff we see all the time.

Instead of writing text or generating images, this one is focused on land. It’s called Novared AI, and their platform MetalCore lets you submit a piece of land or even just a property listing link.

What it does is try to analyze whether that area could have mineral potential by looking at a mix of data:
geology, nearby deposits, historical samples, mining claims, and access to infrastructure.

So instead of guessing, you get a kind of data-based snapshot of what might be under the surface.

Obviously this is not something that replaces actual field work or professional surveys. But as a quick screening tool, it feels like something that could save time, especially for people who look at a lot of land listings.

The timing is also interesting. There’s been a lot of news about mining companies doing more deals again, something like over $20B in one quarter. That usually means people are thinking long-term about resources again.

So seeing tools like this pop up kind of fits that trend.

They’re offering free early access right now and limiting it to about 1,000 users.

Even if you don’t plan to use it seriously, it’s one of those things that’s just interesting to try and see how accurate or useful it actually is.

Not affiliated, just sharing something different that I haven’t seen before in AI.

Website name: Novared AI

Something I’ve been paying attention to lately is how active the M&A side of mining has become again.

In Q1 2026 alone, global mining M&A hit about $21.6B across 121 transactions, which makes it the strongest first quarter since 2023. That’s not just random deal flow, that’s a signal that large players are still trying to secure future supply instead of waiting for it.

At the same time, you’ve got massive projects like Vicuña, where initial development costs are expected to exceed $7B, still moving forward after legal hurdles. That kind of capital commitment tells you something important:

The industry still believes in large-scale copper and gold systems long term.

Now here’s where it gets interesting for smaller companies.

Big mining companies don’t usually explore everything from scratch anymore. It takes too long, costs too much, and carries too much uncertainty. Instead, they often:

• acquire
• partner
• or farm into projects that have already been de-risked to some degree

That creates a pipeline effect.

At the top, you have producing assets.
Below that, advanced developers.
And at the very bottom, you have early-stage explorers building the next generation of targets.

That’s where NovaRed comes in.

They’re working on the Wilmac copper-gold project in British Columbia, again in the Quesnel belt, which is already proven ground. The total land package is around 11,504 hectares, and they’ve recently strengthened it by locking in the Plume tenure (~2,062.64 hectares).

What I like here is that it’s not just land accumulation.

They’ve:

• secured tenure
• obtained geophysical authorization
• integrated historical datasets
• and are moving toward defining drill targets

That’s the kind of progression that slowly moves a project from “early idea” to “something the market can actually evaluate”.

Now tie that back to the M&A environment.

If majors are actively spending tens of billions to secure future supply, it means one thing - they are still structurally short pipeline.

And when that happens, the market starts to care more about:

• where future discoveries might come from
• which jurisdictions are safe
• and which projects are advancing toward drill-ready status

British Columbia checks a lot of those boxes:

• stable jurisdiction
• established mining infrastructure
• known porphyry systems

So a company like NovaRed starts to fit into a broader narrative, not as a standalone speculation, but as part of the future supply chain conversation.

Another angle people overlook is how valuation expands across the chain.

When large deals happen at billions of dollars, it doesn’t stay isolated. It tends to:

• increase confidence in the sector
• improve financing conditions
• and raise interest in earlier-stage opportunities

That’s how capital cycles usually propagate.

So even though NovaRed is still early, the environment around it is becoming more supportive:

• strong M&A activity
• continued investment in large copper projects
• and a clear need for new discoveries

I’m not looking at this as a short-term trade idea as much as a positioning question.

If the industry is clearly telling us it needs more copper and gold projects, and is willing to spend heavily to secure them, then it makes sense that earlier-stage names that are actually progressing could start getting more attention.

Curious how others are thinking about this, especially in terms of where we are in the cycle for explorers.

Everyone keeps quoting the headline number from the EIA, about 86 GW of new U.S. generating capacity expected in 2026. That’s a record, and on the surface it sounds like supply is catching up.

But when you actually break down the composition, it tells a much more specific story.

About 51% of that capacity is expected to be solar, which is roughly 43.4 GW. Another 28% is battery storage, around 24 GW. That means nearly 80% of all new capacity is coming from solar plus batteries.

That mix matters more than the headline number.

Solar by itself is intermittent. Batteries by themselves are storage, not generation. But together, they form the core building blocks of modern distributed energy systems. And that’s exactly the architecture that microgrid developers are using.

This is where NextNRG, Inc. becomes interesting from a positioning standpoint. Their projects aren’t just single-asset installations. They’re combining solar, battery storage, backup generation, and a control layer into integrated systems.

So while the broader market is adding 43 GW of solar and 24 GW of batteries separately, NXXT is essentially packaging those same components into localized, deployable infrastructure.

Another angle here is deployment speed and location. Utility-scale projects often face transmission constraints and interconnection delays. Distributed systems can be installed closer to load, which reduces both time and complexity.

From an economic standpoint, battery storage is becoming a bigger part of the equation as well. With 24 GW being added in a single year, storage is no longer a niche add-on. It’s becoming standard infrastructure.

That shift has a direct impact on project economics:

• Peak shaving reduces demand charges
• Load shifting improves energy cost efficiency
• Backup capability increases resilience value
• Arbitrage opportunities improve ROI

When you combine those benefits, solar-plus-storage systems start to compete not just on sustainability, but on pure economics.

Another thing worth noting is scale. The U.S. installed 18.9 GW of storage in 2025, up 52% year-over-year. Projections suggest around 500 GWh of additional storage between 2026 and 2031. That’s not incremental growth, that’s exponential scaling.

For a company like NXXT, this matters because it validates the core components of their business model. They’re not betting on an unproven technology. They’re building around what is rapidly becoming the dominant form of new capacity.

The question for investors isn’t whether solar and storage will grow. The data already answers that. The question is which companies can package, finance, deploy, and operate these systems efficiently.

If NXXT can execute on its pipeline and convert projects into long-term PPAs, it effectively turns this macro trend into recurring revenue streams.

So instead of thinking “86 GW is a lot,” I think the better takeaway is this:
The majority of new capacity is coming from the exact technologies NXXT is built around.

And that’s a pretty clean alignment between macro trends and company strategy.

I want to throw out a question that’s been on my mind after reading a bunch of macro and industry updates:

If copper is becoming a bottleneck for AI and electrification, why are early-stage copper explorers still trading at such low valuations?

Let’s start with the macro backdrop.

Copper is sitting around ~$5.93/lb as of late April, which is already historically elevated. Over the last 12 months, that’s roughly a 29% increase. On top of that, Shanghai Metals Market estimates a 2026 copper concentrate deficit of about 317,000 tonnes.

That’s not a theoretical shortage - that’s a measurable gap in upstream supply.

Even more interesting, policymakers are now treating copper as a strategic material. The U.S. House Natural Resources Subcommittee recently held hearings focused on copper supply chains, permitting, and national security implications. That’s a pretty big shift from “just another commodity.”

So demand is rising, supply is tight, and governments are paying attention.

Now look at how capital is reacting.

KoBold Metals is committing $2.3B to develop one of Zambia’s largest copper mines, targeting over 300,000 tonnes per year. What stands out is that they’re accelerating development timelines and using AI-based exploration methods to identify deposits faster.

This is not slow, cautious capital. This is aggressive, forward-looking capital trying to get ahead of a supply crunch.

Now contrast that with a company like NovaRed (NRED).

NRED is working on the Wilmac copper-gold project in British Columbia, a region known for porphyry systems. The project is located in the Quesnel belt, near existing operations like Copper Mountain.

The company is also building its own AI-driven exploration approach. They filed a patent covering a system that integrates geological, geophysical, and geochemical data into probabilistic targeting models. The goal is pretty straightforward - increase the odds of identifying drill-ready targets faster.

From a valuation standpoint, NRED is still around ~$37M USD enterprise value.

That’s where the disconnect starts to stand out.

On one side, you have billion-dollar capital flows chasing copper supply using AI. On the other side, you have early-stage explorers applying similar concepts but trading at tens of millions.

Of course, the risk profiles are completely different. A producing asset or near-term mine has defined economics. An explorer is still proving the system exists.

But historically, the biggest valuation jumps in mining don’t happen at production. They happen during the transition from “unknown” to “discovered.”

That’s where the de-risking ladder comes in.

A typical BC porphyry project might go from:

~$5M–$30M at early-stage targeting

~$20M–$80M after geophysics confirmation

~$100M–$500M after a successful discovery hole

NRED is currently somewhere between the first two steps, with a 2026 geophysics program acting as the next catalyst.

So the question becomes:

If the macro thesis is right - that copper supply is structurally constrained and demand is accelerating due to AI and electrification - then shouldn’t the earlier parts of the supply chain start getting repriced?

Or does the market wait until drill results before assigning that value?

It feels like we’re in that early phase where the narrative is building, capital is moving at the top end, but the lower end hasn’t fully caught up yet.

Would be interested to hear how others are thinking about this gap.

NFA

Something I’ve been thinking about after reading recent commentary on copper is how the narrative is quietly changing.

For years, copper has been treated like a cyclical commodity. It goes up, it goes down, tied to China demand, construction cycles, etc. But now you’re seeing more and more people describe it as a strategic resource tied to national security.

That’s a very different lens.

If that shift sticks, it changes how the entire market values copper assets, especially early-stage ones.

Let’s look at the demand side quickly.
AI data centers alone are projected to add massive new consumption. Some estimates suggest up to 50,000 tonnes of copper per hyperscale facility. Add EVs, grid upgrades, defense systems, robotics. You’re stacking multiple demand vectors on top of each other.

Even conservative forecasts show global demand pushing toward ~40M tonnes annually by 2040.

Supply, on the other hand, is struggling to keep pace. Ore grades have declined from around 2.5% a century ago to ~0.6-0.8% today. New discoveries are rarer. Permitting timelines are longer. Capital costs are higher.

So when someone says copper is becoming a national security issue, what they’re really saying is:
future supply is uncertain, and that uncertainty matters at a government level.

Now bring this back to NRED.

At the moment, NRED is valued like a typical junior at the geophysics stage. Roughly ~$37M USD EV, no defined resource yet, still preparing for drilling.

But the land package is 11,504 hectares in BC. Surface samples reportedly average around 0.639% Cu, which is already in line with or above many operating global averages. If that translates into a coherent system at depth, the scale potential is significant.

Let’s run a simple scenario.

500M tonnes at 0.3% Cu = ~3.3B lbs of copper.
At $0.01/lb (current implied market pricing), that’s ~$33M EV.
At $0.05/lb (first drill validation), that’s ~$165M.
At $0.15/lb (resource stage), you’re approaching ~$500M.

That’s the classic junior re-rating path.

Now layer the macro shift on top. If copper assets in safe jurisdictions become strategically important, those multiples don’t just stay the same. They expand.

Because the buyer isn’t just a mining company anymore. It could be a government-backed entity, a strategic investor, or a major securing long-term supply.

That’s why I think the biggest mispricing right now isn’t in copper itself. It’s in early-stage explorers that are still being valued under the old “commodity cycle” framework.

If the narrative fully shifts to “strategic metal,” the way these assets are priced could change pretty quickly.

And NRED, being early in the discovery curve, sits right in that zone where small changes in perception can lead to large moves in valuation.

Not saying it’s risk-free. It’s definitely not. But the upside drivers are stacking in a way that wasn’t true a few years ago.

A lot of people still think of the power grid as a physical network - wires, transformers, generation plants.

But that’s starting to change in a pretty fundamental way.

There’s a growing push toward AI-enabled smart grids, and it’s not just about making things slightly more efficient. It’s about transforming how the system operates entirely.

Traditional grids work on forecasts and scheduled adjustments. They’re reactive to a certain extent. AI changes that by making the system more predictive and adaptive.

With AI integration, grids can:

• anticipate demand spikes before they happen
• adjust energy flows in real time
• integrate renewable sources more effectively
• reduce waste across the system

Even modest improvements have big implications.

If AI reduces energy losses by just 2% to 4%, that could translate into saving tens of terawatt-hours annually across large grids. That’s equivalent to the output of multiple power plants.

Now think about where demand is going.

Data centers alone could account for hundreds of terawatt-hours of consumption within a few years, and overall electricity demand is trending upward as more systems become electrified.

Without smarter management, scaling supply becomes much harder.

This is why the AI layer is becoming just as important as the physical infrastructure.

And this is where companies like NXXT start to fit into the broader shift.

They’re not just building energy systems, they’re integrating optimization into those systems. That aligns with the direction the industry is moving in, where intelligence becomes part of the infrastructure itself.

What makes this interesting is that it creates a new category of value.

Instead of just selling energy, companies can improve how energy is used. That opens up additional revenue streams and increases the importance of software within the energy sector.

Feels like we’re at the early stages of that transition.

I’ve been comparing junior copper names based on something super simple: EV per hectare. It strips away a lot of noise and lets you see how the market is valuing land + potential.

For NRED, the numbers look kind of surprising.

Wilmac project size: ~11,504 hectares
Current EV: ~$51.5M CAD

That works out to roughly $4,477 per hectare.

Now compare that to a real transaction benchmark.

Copper Mountain Mine (CMM) got acquired by Hudbay for C$439M. That asset covers about 18,000 hectares and hosts ~702M tonnes at 0.24% Cu (around 3.7B lbs).

That deal implied about $24,389 per hectare.

So what does that mean in plain terms?

NRED is trading at about 18% of that valuation on a per-hectare basis.

Now obviously, it’s not apples-to-apples yet. CMM is a defined resource with infrastructure, NRED is still in exploration. But the gap is still pretty massive.

Even if NRED only rerates halfway to something like $10,000 per hectare:

11,504 ha × $10,000 = ~$115M CAD EV

That’s more than 2x from current levels, and still well below the CMM benchmark.

If it ever approached full comp levels:

11,504 ha × $24,389 = ~$287M CAD EV

That’s a 5-6x move.

And this isn’t assuming anything extreme like a mega discovery. It’s just assuming the market starts treating the land as “probable system” instead of “unknown anomaly.”

What makes it more interesting is the grade context.

Global copper grades today are around 0.6% to 0.8%.
CMM reserves sit at ~0.24% Cu.
Wilmac surface samples average ~0.639% Cu, with peaks above 1%.

If even part of that translates into a coherent system at depth, you’re talking about something that is not just large, but competitive on grade.

To me the disconnect is this:

Market is pricing the land like it’s early-stage noise
Surface data suggests it might be something real
Macro copper backdrop is already strong

That combination doesn’t stay mispriced forever in this sector.

I’m not saying it becomes the next CMM, but at $4.4k/ha, it feels like the market is assuming the answer is zero. Usually reality lands somewhere in between.

Interested if anyone here tracks EV/ha across juniors and how NRED stacks vs others in BC.

Current EV $37M implies $0.011/lb on 3.3B lb - post-geophysics pricing. First drill range starts at $0.02/lb = $165M EV. The 4.5x gap is the bet.

There is a tension in NRED's valuation that creates the opportunity. The market has priced in anomaly confirmation. It has not priced in drill results. The gap between those two stages is where the money gets made.

Here is the math. Current EV is $37M USD. On a 500M-tonne at 0.3% Cu scenario (3.3B lb), the implied in-situ multiple is $0.011/lb. The post-geophysics range is $0.005-$0.02/lb. NRED trades at the high end of that range.

The first drill range starts at $0.02/lb and goes to $0.10/lb. The midpoint is $0.05/lb = $165M EV on 3.3B lb. That is 4.5x from $37M.

The tension: if the geophysics works, the stock probably goes to $45-50M (confirmation premium). If the drill bit hits, the stock goes to $150M+ (resource discovery premium). The market is giving you post-geophysics odds on a first-drill payout.

That mismatch exists because NRED has not drilled yet. The surface samples are strong (0.639% average, peaks at 1.235% and 1.670%). The land package is 11,504 ha. The CMM comparison is direct (same belt, similar geology). But until the drill bit confirms depth and continuity, the market will not pay first-drill multiples.

The contrarian play is to position before the drill results, when the market is still pricing post-geophysics. Once results are out, the re-rating happens fast. In BC porphyries, first-drill successes typically re-rate 3x to 5x in weeks.

What is the probability the drill bit confirms what the surface samples suggest?

NFA. DYOR.