Crypto tier list: business success is not token value

I find the distinction between a useful business and a valuable token more useful than any letter grade in EllioTrades' crypto tier list. The rankings combine business results with chart performance and bets on future attention. The analyst's bullish outlook also depends on Bitcoin holding its strength, a condition that matters even for the highest-ranked assets.

Reading the crypto tier list

Privacy projects and trading platforms rank highly, alongside established networks and several memecoins. The grades express conviction rather than calculated fair value. Some change during the discussion, and the basis for judging projects shifts from business strength to price performance or personal enthusiasm.

I would read the reason before the letter. Revenue growth and an enthusiastic community can each support a high grade, but they describe different kinds of demand. A chart that has held up offers different evidence again.

The table uses the completed on-screen ranking where available and explicit spoken grades for other entries.

Derive is discussed as an A-tier candidate, but DRV finishes in B. Collector Crypt and PENGU also receive more enthusiastic spoken assessments than their final B-tier positions suggest. I read these changes as provisional judgments, not precise boundaries between grades.

The video provides no consistent scoring formula. A tier alone says nothing about suitability, position size or the price at which a thesis might make sense. A speculative asset can have an appealing business story yet remain expensive relative to the benefits holders receive. A weak long-term proposition can also rally when attention returns.

Bitcoin sets the condition

The analyst expects a steady Bitcoin or a continuing weekly uptrend to support large altcoin moves. Their warning is equally broad: if Bitcoin loses that strength, altcoins could suffer badly. The forecast assumes wider risk appetite gives these projects room to perform, rather than each business overcoming any market environment.

An altcoin is a crypto asset other than Bitcoin. Smaller assets can have thinner trading liquidity, with fewer buyers and sellers near the quoted price. Under stress, that can make exits harder and swings larger, regardless of how convincing a project's story sounds.

The macroeconomic case rests partly on disappointing employment data. An on-screen post attributed to Walter Bloomberg reports September nonfarm payroll growth of 29,000 against 84,000 expected, with unemployment at 4.2% against 4.1% expected. The analyst interprets the miss as a reason for the Federal Reserve to pause rate increases.

I would separate those figures from that conclusion. Weak labor data can encourage hopes for easier policy, but it can also signal a weaker economy. The bullish reading assumes that less restrictive policy would help asset prices more than deteriorating conditions would hurt them.

An Easy post displaying the CME Group FedWatch tool gives an 83.9% probability of no rate hike. Those odds describe market expectations at that moment, not a commitment by policymakers. The analyst cautions that they can change as more data arrives.

A post quoting Fed official Goolsbee offers a counterweight: he prioritizes inflation while describing the labor market as steady. The analyst reads this as a hawkish preference for tighter policy to contain inflation.

Bob Loukas' argument that Bitcoin had established a cycle low also supports the analyst's outlook. Their forecast includes liquidity measures involving stablecoins and other ways of financing government debt. I treat the expected benefit to crypto as a forecast, not evidence that an altcoin cycle must follow.

Privacy and AI lead the narrative picks

Zcash's S grade rests on the analyst's expectation that privacy will become more valuable as AI makes public information easier to connect. Better tools for identifying addresses and examining transactions could increase demand for keeping financial activity private.

Public blockchains generally expose transaction records, although an address alone does not necessarily identify its owner. Privacy technologies limit what outsiders can infer from those records. The proposed demand is therefore about control over financial information, not just interest in a market theme.

I find the comparison between Zcash and Bitcoin useful. An altcoin can rise in dollars while losing ground against Bitcoin; measuring it against the market's main reference asset makes that underperformance visible. The analyst uses this relative price performance in the Zcash case.

The $1,000 area is their preferred level for Zcash to hold during a pullback, not a floor enforced by the network. They acknowledge that it could retreat further and that its recovery followed a long period of weakness.

NEAR receives an A, with the analyst tempted to go higher. Its appeal combines AI with privacy-related technology, as a complement to the Zcash thesis. They explicitly acknowledge ownership bias.

An exploit and the response temper that enthusiasm. The concerns include frozen funds and restrictions on privacy functions; the analyst says recovery efforts followed. I see a substantive tension here: intervention can contain a loss while raising questions about who can restrict access and under what circumstances.

Bittensor's A rests less on conviction about its practical AI contribution than on its prominence among crypto AI assets. The analyst also points to support from high-profile investors, including Naval, Chamath and Jason Calacanis. Their forecast assumes that an AI-themed allocation wave would send money toward TAO.

VVV earns an A on a more application-focused case: revenue, a growing user base and Erik Voorhees' involvement. Render receives a C. The analyst expects it could benefit from an AI rotation but has less conviction about what would distinguish it.

I would keep product demand separate from enthusiasm for backers or a temporary rotation into AI assets. Users choosing an application offers evidence of use, but even that needs a further connection to benefits for token holders.

Tokenization raises the network stakes

Tokenization records an asset, or a claim to one, as a token. The analyst expects tokenized equities and other real-world assets to generate substantial future crypto activity. That expectation favors projects they believe can provide the networks and connections it requires.

Ethereum's S grade combines a usage case with a price forecast. The analyst argues that it has enough decentralization to function as money and should remain important for tokenization and real economic activity. They also expect a sharp move if ETH clears $2,800, a level they identify across several parts of its chart, with a possible path toward all-time highs.

I would judge the network's role in asset issuance separately from that chart setup. Usage does not prove a breakout will happen, and a breakout does not prove the usage thesis.

Solana also receives an S. The analyst praises its user experience and continued relevance to trading and tokenization, including applications associated with pump.fun and STONK. Their description of it as the best or slickest blockchain is a personal assessment, not an objective result across every technical requirement.

Chainlink's A reflects expected demand for connections between off-chain information and blockchain applications. Information outside a blockchain can help an application respond to external conditions when brought on-chain. The analyst links LINK's prospects to a larger market for tokenization and derivatives.

Quant reaches A after consideration of its recent price move and a headline about The Clearing House selecting it for an interoperability role. Interoperability lets separate systems communicate. The positive case assumes that connections between financial systems will become important infrastructure.

I pay closer attention to the reservations about competing networks. Arbitrum receives a B because the analyst sees its narrative as heavily dependent on Robinhood's activity. They praise the technology but worry that a major partner could change direction or build elsewhere. Optimism's C reflects questions about how its token captures value from networks using its technology.

A layer-2 handles activity alongside a base blockchain. More activity does not necessarily benefit every related token equally, which makes those value-capture questions relevant even when adoption grows.

Monad receives a B for potential without enough evidence of product-market fit, or sustained demand for what it offers. Sui and Avalanche also earn B grades; the analyst wants clearer reasons for users and builders to choose them.

Their broader position is that good technology and a large budget are insufficient in a crowded market. For Avalanche, the emphasis is on attracting projects and supporting builders well enough to keep them. I find durable demand a more concrete test than technical specifications alone.

Revenue needs a route to the token

Applications that generate fees and buy back tokens provide the ranking's clearest business-focused argument. A buyback means the project purchases its own token, potentially connecting business activity to demand for the asset.

Pump.fun receives an S. The analyst claims it makes $2 million a day, buys back tokens and has expanded its revenue sources beyond its original Solana bonding-curve activity. A bonding curve changes the quoted token price according to a preset relationship with supply or purchases.

I would still examine what funds the purchases and which rules govern them. Buybacks depend on available money, while token issuance or sales by existing holders can offset demand. They do not guarantee price appreciation.

Aave earns an A for its lending business and a shift toward buybacks. The analyst describes its token as the weaker part of an otherwise strong protocol. Ethena also receives an A, partly for its business position and buyback direction.

CAKE's C makes the distinction between platform activity and token value particularly clear. PancakeSwap's displayed DefiLlama dashboard contains large figures:

A decentralized exchange, or DEX, lets users trade through blockchain-based systems. Deposited assets and trading volume measure different kinds of activity, not profit available to holders. Fees can also be distributed among different participants.

The analyst initially calls PancakeSwap's fee figure revenue, although the screen labels it fees. They also allege that its trading volume is not real. That is their interpretation, not a demonstrated finding or an established explanation for CAKE's price performance.

I would focus on the observable distinction: strong platform metrics can coexist with weak token performance. Tracing where fees go offers a better test of holder benefits than accepting either a dashboard total or a suspicion about it at face value.

STONK and PONS receive B grades for launchpad potential tempered by falling revenue. The analyst's concern about PONS is that its price had fallen less than its revenue, raising its multiple on revenue. A multiple compares valuation with a business metric; it can rise when valuation grows or when the underlying metric shrinks.

A falling price therefore does not necessarily make a token cheaper relative to its business. The analyst wants revenue to recover before placing more confidence in these smaller launchpads.

Memecoins depend on attention

PEPE and Dogecoin earn S grades on cultural arguments rather than business earnings. The analyst's PEPE case rests on affection for the meme and a belief that it could become a leading cultural symbol in a stronger cycle.

For Dogecoin, the thesis is a return of retail interest. People who entered crypto through DOGE and Ethereum in 2021 might pay attention again if those assets reach new highs, according to the analyst. They expect a broad psychological effect on the market.

I read this as a prediction about behavior. It assumes past participants retain an emotional connection to those assets and that higher prices would bring them back. It offers no earnings claim or payout right.

Memecoins generally depend heavily on community interest and buyers' willingness to pay. Recognition can attract attention without establishing a minimum value. Attention can move elsewhere, and an active community can still suffer severe losses.

BONK's B reflects the analyst's view that Solana memes face more competition for attention. PENGU's mainstream branding and marketing receive a favorable assessment, although its final placement is B. The analyst considers it culturally more than an ordinary meme while still distinguishing it from revenue-generating protocols.

The PENGU forecast also depends on reclaiming chart levels and maintaining momentum. I would separate that setup from the brand case: popularity can build awareness without giving holders a contractual right to the brand's economic gains.

SHIB receives a C because the analyst sees little reason to prefer it over other meme assets. Trump coin receives a D amid harsh criticism of its performance and treatment of participants. Those differing grades reflect project-specific expectations, not a single judgment about all memecoins.

Strong grades can carry strong bias

SUPER receives an S alongside a disclosure of deep personal commitment. The analyst says Superverse is moving away from crypto gaming and that its next iteration will not be a crypto-gaming project. They connect the change to their view that gaming had yet to demonstrate sufficient product-market fit.

I would weigh that attachment alongside the grade. It helps explain the confidence, but it makes the assessment less independent than one from someone without that commitment.

The analyst also discloses being a seed investor in Monad and acknowledges that success would benefit them financially. The B grade does not erase that incentive. Disclosure makes the conflict visible rather than removing it.

TRON's S presents a different limitation. Despite reservations about the project, the analyst upgrades it on the strength of TRX's long-term chart and describes its supply as controlled. Chart resilience does not independently establish decentralization, transparent ownership or safety.

Hyperliquid earns an S because the analyst considers it the leading perpetual-futures platform. These derivatives track an asset without a fixed expiry date. Lighter receives an A and Aster a B. Derive's options-market potential receives a favorable assessment, alongside a warning about competition from Hyperliquid.

I would separate platform quality from trading risk. Leverage creates exposure larger than the collateral posted and magnifies losses as well as gains. Sharp Bitcoin swings of the kind described in the discussion can trigger liquidation, the forced closure of a position when collateral becomes insufficient.

The lower grades often have thinner reasoning. Dismissive assessments of Filecoin, Cosmos, Hedera and Ethereum Classic rely largely on charts, perceived irrelevance or limited enthusiasm. The analyst's lack of interest does not prove that a project lacks users or technical merit.

Blast has a more concrete negative development: an on-screen announcement says it will be shutting down, and it receives a D. A closure announcement directly affects the case for continued operation, unlike an unattractive chart.

I would not give an operational announcement the same weight as personal enthusiasm merely because both produce a letter on the board. The evidence behind the grade determines what it can tell us.

Build a testable case before using a grade

I would turn an interesting ranking into a claim that can be checked. Instead of a broad phrase such as strong narrative, specify whether users are choosing the application, fees are reaching a defined destination or an integration is creating demand for a service.

The claim also needs a condition that would weaken it. Falling usage or competitors taking market share can undermine a business case. Growing activity offers little support for a token-value case if holders receive no economic benefit. A cultural case can fail when attention shifts, even if the meme remains familiar.

Comparisons need matching evidence. Gross fees should be compared with gross fees, not another project's net revenue. Network activity should be separated from token issuance. An integration announcement should be judged against the role the project is expected to perform, rather than the prominence of the institution named beside it.

My standard is to record the evidence and what could change the judgment before returning to the grade. For a buyback thesis, that includes the risk that new token issuance or selling by existing holders offsets the purchases.