I find Crypto Nitro's six-coin watchlist useful for the questions it raises, rather than as a ranking of likely returns. Bitcoin comes first, followed by Gram, BNB, XRP, Solana and TRON. The reasons differ: a possible recovery, an established business connection or a community that might keep building. Those differences matter more than the fact that all six appear on one list.
Reading the Layer 1 crypto watchlist
A layer-1 network is a base blockchain that records transactions and applies its own rules. When assessing its token, keep the network's usefulness separate from the price people will pay. Activity can grow while the token disappoints; a price can rise before lasting use improves.
Most of the creator's arguments start with charts. Bitcoin is their reference for the broader market. Gram is a recovery prospect, while BNB and XRP attract their interest through an established position and perceived business relevance. Solana's case depends on community activity. TRON's includes a long-term trend they find unusually consistent.
I want different evidence for each argument. A recovery needs signs that conditions have changed after a decline. An ecosystem needs reasons for users and builders to stay. Momentum needs continuing demand. A favourable chart alone cannot answer all those questions.
The CoinMarketCap screens accompanying the discussion published on October 10, 2026 displayed these prices:
| Asset shown | Displayed price |
|---|---|
| Bitcoin (BTC) | Around $79,839 |
| Gram (prev. Toncoin) | $1.42 |
| BNB | $750.75 |
| XRP | $1.41 |
| Solana (SOL) | $168.88 |
| TRON (TRX) | $0.3350 |
These are snapshots, not live quotes or price targets. Comparing unit prices can also mislead: a lower-priced token is not necessarily cheaper in valuation terms. The number of tokens and the market value of the whole supply matter too.
Bitcoin as the market reference
Bitcoin holds the top spot on the creator's personal watchlist. They reject the idea that its age makes it less interesting than newer coins and describe it as the market runner: when Bitcoin moves, they expect the wider market to respond.
Their enthusiasm follows an August move up to 80k, a subsequent rise to nearly 85, and a return to around 80. They particularly like the large green candle and compare it favourably with past cycles.
I read that as an optimistic chart assessment, not a forecast with a defined outcome. A candle summarises price movement over a chosen period; a green one generally means the price closed above its opening level. Buyers pushed the price higher during that interval, but the candle cannot establish how long demand will last or how much of the move might reverse.
The timeframe matters. A striking candle on a broad chart can contain substantial swings on a shorter one. Comparing it with past cycles requires attention to the periods being compared, not just their visual resemblance.
Crypto assets can move together when risk appetite changes. That makes Bitcoin a useful reference, but shared momentum does not remove another network's operational problems or make every token equally attractive. I would ask whether the market conditions behind the creator's optimism also support the particular asset being assessed.
Gram and the danger of a recovery story
The creator dislikes Gram's chart but sees potential in its Telegram connection. They describe Gram as what Toncoin is now called; the displayed label is "Gram (prev. Toncoin)". I would verify the asset's identity before relying on that naming claim or interacting with a service offering it.
They recall a price of $8 in June 2024 and describe the subsequent fall as severe. Gradual improvement on the hourly chart over the preceding days gives them hope of a recovery. The argument combines a large historical decline with a much shorter period of improvement.
A previous high records what buyers once paid. It does not oblige the market to return there. After a fall, a token might be undervalued, fairly valued or still expensive, depending on what changed. Price history cannot settle that question.
I find the creator's belief that the only direction left is upward the weakest part of the case. A low price can fall further, and a modest rebound can fail. A smaller loss in currency terms can still be a substantial percentage loss. Stabilisation is worth noticing, but it is different from evidence that the causes of the decline have changed.
The creator regards Telegram as central to crypto discussion and expects that social relevance to benefit the token. The missing link in that reasoning is between people discussing crypto on a communications platform and people needing its associated token for a lasting purpose.
They also link some of the chart weakness to an imprisonment claim about Telegram's founder. That remains their explanation, not a verified account of the legal event or its price impact. A chart cannot isolate the cause of a decline.
For this recovery case, I would focus on changes since the fall, such as sustained use or a clearer reason to own and spend the token. Returning to an old price is the hoped-for outcome, not the reason to expect it.
BNB and the limits of reputation
The creator sees BNB as an established project whose chart is bouncing back. They place it at number four in the overall market rankings at the time and connect its appeal to CZ and Binance, which they describe as the largest crypto exchange.
Those points explain their interest, but market scale and name recognition answer different questions. Market capitalisation generally combines price with circulating supply. A high ranking therefore describes relative market value at a particular moment, rather than technical quality; it can change as prices or supplies change. A large asset can still fall sharply.
I give more weight to how activity creates demand for a token than to how familiar its associated names are. A prominent figure and an exchange can attract attention and confidence. The next question is whether their business activity requires the token, and whether its price already reflects the benefits people expect.
A close business association also creates concentration risk. If a token's appeal depends heavily on one company, confidence in that company can influence expectations for the wider ecosystem. Operational trouble, changes in access or weaker customer demand could affect that relationship. These are possible risks to examine, not claims that such events have occurred here.
Recognition makes BNB easier to place on a watchlist. Understanding why an activity needs the token makes the association something that can be assessed beyond familiarity with CZ or Binance.
XRP and claims about adoption
The creator follows XRP because of what they describe as real-world adoption, updates and daily work behind the scenes. Their interest goes beyond price movement to a belief that the project has practical relevance.
I would first pin down what "adoption" means in this case. Testing a system, integrating it into a workflow and repeatedly using it for an actual task are different commitments. An announcement may show interest; regular use gives a better basis for judging whether that interest lasts.
The relationship to the token needs its own explanation. Even if a network becomes more useful, that use may not create the demand investors expect. Establish whether the activity requires the token and how that demand interacts with supply before drawing a valuation conclusion.
The creator characterises XRP's earlier legal trouble as a matter of the past. That is their assessment, not a legal conclusion established here. Legal clarity depends on the scope of a decision or rule and the activity under consideration, rather than a favourable market narrative.
Their reading of the chart also suggests to them that older whales have exited, profits have been taken and tokens sold. A whale is a holder large enough for its transactions to affect a market. I would treat this as an interpretation of selling pressure, not identification of the sellers or proof that they have finished selling.
A price chart cannot establish who sold. Even if earlier holders did exit, future demand would still have to absorb the supply reaching the market. The adoption argument is more useful when it names an ongoing activity and explains its relationship to XRP, rather than treating every update as an improvement in the investment case.
Solana after the memecoin rush
The creator argues that Solana's huge memecoin hype is over, but expects renewed momentum if the broader market becomes healthier. They also acknowledge that activity could move to other chains. Their case depends partly on whether people attached to Solana remain there.
Memecoins often draw their appeal from a shared joke, identity or online community, with prices heavily dependent on attention and speculation. For the network hosting them, a burst of excitement and lasting participation are different things to assess.
I find the creator's community argument more useful than an assumption that the earlier wave must return. They expect people who became involved in Solana's memecoin scene to stay and build on its infrastructure. Familiar tools and existing relationships can reduce the effort required to participate.
That prediction still needs evidence over time. People can remain socially attached while trading less. Developers can keep working while token prices fall. Recurring use for a clear purpose may also last differently from a brief rush of speculative transactions, even if both make the network busy.
The healthier-market condition belongs with the prediction. I would not turn it into an unconditional promise of recovery. Better sentiment may help, but competing chains and users' willingness to spend time or money also affect participation. The relevant evidence is what the community continues doing after the hype cools.
TRON and the appeal of a smooth chart
TRON appeals to the creator because its long-term chart appears to rise steadily without a major break in the overall shape. They find that consistency striking and use it as a reason to keep TRX on their watchlist.
They also describe TRON as fast and reliable, say development continues, and expect the chain to remain around for a long time. Those are claims about performance and durability, which need different evidence from a price trend.
I would assess reliability through transaction completion, dependable access and behaviour under pressure. A chart records how the market priced the token over a chosen period; it does not measure those operating conditions. A favourable trend can coexist with problems the display does not reveal.
Scale can change the impression too. A long-term view may make short-term losses look small, while a different scale can make a rise appear more or less dramatic. The periods and movements need checking before accepting the visual impression of steadiness.
The creator recalls holding TRX previously and regrets no longer having those tokens. That hindsight explains some of their enthusiasm, but a missed gain supplies no evidence about the next opportunity. I would keep that emotional pull separate from the network assessment.
Survival and token value also differ. A network can keep operating while its token price struggles, and continued development does not guarantee demand will grow faster than supply. Performance evidence would help assess reliability; sustained usage would help assess the claim about the ecosystem's staying power.
Turn each narrative into a test
For each argument, write down what would have to be true for it to work and what would weaken it. That keeps a familiar name or attractive chart from settling the question before the evidence does. It also makes a change in the argument easier to notice.
I assign different weight to observations, interpretations and predictions. The displayed prices are observations. The belief that older large holders sold is an interpretation. The expectation that a community will rebuild activity is a prediction. Appearing together in one discussion does not give them equal certainty.
Match the evidence to the timescale. The hourly improvement discussed earlier cannot establish a long-term recovery by itself. Equally, a long-term upward curve cannot describe every shorter period within it. Comparisons between assets need reasonably consistent chart windows to be meaningful.
My standard is to identify the proposed source of demand, seek evidence that it persists and name a condition under which the argument would fail. A claim that allows no possible failure is difficult to test. This is a way to evaluate a research lead, not a recommendation to buy or sell.
Keep transaction safety separate from market research. Before interacting with a crypto service, verify its site address and the asset's identity. Scrutinise wallet connections and transaction approvals: even a sensible market argument offers no protection from a malicious page or an unsafe permission.
