As low-priced altcoins continue to attract retail attention, one recurring market narrative has resurfaced: if a token costs only a few cents or a few dollars, it must have more upside than bitcoin. A popular article from CryptoComLearn pushes back on that idea by arguing that unit price alone says almost nothing about value. In crypto markets, the more important variables are circulating supply, total issuance, and digital scarcity.
The article centers on a tool called Bitcoin Price Equivalence, designed to strip away what market observers call “unit bias.” In simple terms, unit bias describes the tendency of investors to assume that a low nominal coin price means an asset is cheaper, more undervalued, or more likely to surge. The article argues that this instinct is deeply misleading, especially in a market where token supplies can vary from millions to trillions.
Why low nominal prices can create false conviction
The article notes that the rally in so-called crypto “penny stocks” has fueled intense debate over what digital assets are really worth. Newer participants often compare a sub-$1 token with bitcoin and conclude that the cheaper-looking asset has more room to grow. But this line of thinking ignores the structural difference between assets with limited supply and assets issued in enormous quantities.
To illustrate the point, the article references a circulating argument from the market: if all crypto assets had the same maximum supply as bitcoin, would investors still perceive them the same way? The implication is powerful. A token trading at cents or single digits can appear attractive only because its supply is massive. If that same market value were concentrated into a supply cap of 21 million coins, the per-unit price could suddenly look extremely expensive.
The article also quotes commentary arguing that even bitcoin itself could have had a tiny nominal price if Satoshi Nakamoto had chosen a dramatically larger final supply. In that sense, the article frames unit price as a largely arbitrary number without context. What matters more is the relationship between demand, issuance, scarcity, and actual network utility.
How Bitcoin Price Equivalence works
The Bitcoin Price Equivalence concept attempts to normalize price across different crypto assets by recalculating each coin’s implied value under a common supply assumption. Specifically, it asks what a cryptocurrency’s price would be if it had the same supply cap as bitcoin: 21 million units.
By placing assets on the same supply basis, the tool aims to create a more intuitive comparison between cryptocurrencies that otherwise appear incomparable. Instead of asking whether a token priced at $0.50 is “cheaper” than bitcoin, the model asks whether investors would still want that asset if its economics translated into a much higher per-coin price under a bitcoin-like supply structure.
The article presents this as a way to correct distorted retail perceptions. A low coin price can feel psychologically affordable, but affordability at the unit level may have little to do with valuation attractiveness. In markets defined by token proliferation, supply normalization can expose how misleading nominal pricing really is.
XRP, XLM, and the gap between market optics and scarcity
The article uses XRP and XLM as clear examples. According to the Bitcoin Price Equivalence framework cited in the piece, if XRP had the same supply as bitcoin, one XRP would be priced at roughly $15,000. For XLM, the equivalent figure would be about $4,000.
At the time referenced by the article, XRP was trading at around $2.50 and XLM at about $0.66. Those headline prices can make both assets seem “cheap” to inexperienced investors. But once adjusted for bitcoin’s scarcity profile, the psychological framing changes completely. The article argues that many buyers are comfortable paying a few dollars for XRP, yet very few would be willing to pay $15,000 per unit if the same valuation were presented that way.
This is the article’s central insight: markets often react not only to value, but to how value is packaged. Investors may be influenced by denomination rather than economics. By removing the denomination effect, the Bitcoin Price Equivalence model forces a more disciplined question: would demand still exist if the token were priced in a way that reflected bitcoin-like scarcity?
The article contrasts this with bitcoin itself, suggesting that bitcoin continues to attract buyers even at elevated nominal prices precisely because its scarcity is widely understood and broadly accepted by the market.
Dentacoin and the consequences of huge token supply
The article also points to Dentacoin, a token associated with the dental industry, as another example of how large token issuance can distort investor perception. It notes that the project had climbed to a market capitalization of around $1.8 billion while maintaining a total supply of eight trillion tokens.
Under the Bitcoin Price Equivalence framework, the article says Dentacoin’s implied per-unit value would be approximately $633. That figure is meant to highlight the disconnect between a token’s small quoted price and the actual scale of value investors are assigning to the network as a whole. A coin can look inexpensive at fractions of a dollar while still embedding a valuation that appears much harder to justify when supply is normalized.
The article uses this example to show why low per-token prices should not be confused with early-stage opportunity. In some cases, they simply reflect an extremely large token count. The low sticker price may be more of a presentation effect than an investment edge.
Not just a bubble detector, but also a growth lens
Importantly, the article does not frame Bitcoin Price Equivalence only as a tool for identifying overvaluation. It argues that the same framework can also help investors think about which assets may still have credible room to grow.
Ethereum is the main example. The article states that Ethereum’s Bitcoin Price Equivalence is around $6,700. While it acknowledges that Ethereum faces meaningful challenges, including scaling and over-centralization, it also stresses that the network is at least being actively used. That practical utility matters in valuation discussions.
From the article’s perspective, a future in which ethereum trades at $6,700 appears less far-fetched than scenarios involving $15,000 XRP, $633 Dentacoin, or $600 Kin. The distinction here is not simply market cap arithmetic, but whether a network has enough real-world use, adoption, and credibility to support stronger valuations over time.
The broader lesson for crypto investors
The broader editorial message is straightforward: crypto investors should be cautious about using nominal unit price as a shortcut for value. A token priced under one dollar is not automatically cheaper in any economically meaningful sense. Without examining supply, scarcity, and use case, the “cheap coin” thesis can quickly collapse.
The article therefore treats digital scarcity as a foundational concept. Assets that are abundant should be expected to have lower per-unit prices. Assets with constrained issuance can sustain higher nominal prices because each individual unit represents a larger share of the network. Ignoring that dynamic can lead investors to mistake denomination for opportunity.
In that sense, Bitcoin Price Equivalence is less a prediction engine than a reframing tool. It does not claim to deliver a definitive intrinsic value for every cryptocurrency. Instead, it offers a way to compare assets more consistently by stripping away one of the most persistent biases in the market.
For readers trying to make sense of crypto valuations, the article’s final takeaway is clear: ask not whether a coin looks cheap on the screen, but whether its valuation still makes sense once supply is standardized and scarcity is taken seriously. In a market crowded with optical bargains, that distinction may matter more than ever.