A U S. District court let a class action against Nvidia and CEO Jensen Huang go forward. The lawsuit claims over $1 billion of crypto revenue was buried in gaming sales reports. Investors say Nvidia hid how big crypto demand was during 2017-2018 and didn't talk about it enough in public.
They argue the company misrepresented GPU sales as gaming revenue when they were actually for cryptocurrency mining. Nvidia argued its comments didnโt influence investors, but the court cited internal communications suggesting the stock price was affected. A hearing is scheduled for April 21.
Nvidiaโs stock fell sharply in 2018 after revenue adjustments tied to crypto demand, dropping over 28% across two trading sessions. The SEC previously fined the company $5.5 million for not properly disclosing how crypto mining affected GPU sales.
April is coming, so fresh crypto players have to watch out: April Fools Day has always been the day of confusing announcements. In crypto, tricks can spark very fast market movements, opening the door to quick gains followed by steep losses. For instance, an Ethereum platform once announced receiving a $69 million investment, Waves did an AI rebranding prank, and BunkerCoin threw a stunt that led to temporary excitement and losses after that. Even Bitcoin ETF fake news and token humor have brought about market fluctuations.
To handle the possible April Fools pranks safely, investors should thoroughly check any announcements, control their risk, and stay doubtful.
Trading activity has surged for 15 altcoins over the past 24 hours. XRP led with $56.9 million in volume, followed by Blocery (BLY) at $53.6 million, Tether (USDT) at $51.1 million, and bitcoin (BTC) at $50.3 million. Thing is, Nomina (NOM) brought in $46.1 million, that's a solid number. Ethereum (ETH) traded at $36.4 million, Solana (SOL) at $21.2 million, Sentient (SENT) at $20.3 million, Ontology (ONT) at $19.0 million, Valve (VANA) at $18.9 million, Ankr (ANKR) at $17.8 million, Solv Protocol (SOLV) at $16.8 million, Centrifuge (CFG) at $16.8 million, Steem (STEEM) at $15.2 million, and Bitlayer (BTR) at $14.6 million.
Turns out the spike shows strong investor interest, both in big names and smaller ones.
$WLD hit a new all-time low of around $0.24, down roughly 97% from its March 2024 peak of $11.82. The World Foundationโs subsidiary, World Assets, sold $65 million in WLD via OTC deals with four counterparties at an average price of $0.2719, with $25 million of tokens subject to a six-month lockup.
About 239 million WLD changed hands in the sales, which are intended to fund core operations, research and development, and ecosystem growth. A big token unlock event releasing about 52.5% of the total supply is set for 23rd July 2026 and may have a big effect on both market supply and price. At present price of $0.27, the token has a market cap around $850 million and a fully diluted valuation near $2.7 billion.
$SOL is trading at $82.70, down more than 77% from its 2025 peak. Despite strong fundamentals, including 10,864 all-time unique developers surpassing Ethereum the price faces heavy resistance around $250 and shows a bearish rising wedge pattern on the two-day chart.
Activity on the chain is weak. In fact, DEX trader counts have fallen to their lowest level in three years, which suggests that speculative participation is dropping. Analysts think that price could fall to $60 in the near term. However, they also believe that there is a zone for long-term accumulation between $75 and $45 which may offer an upside if the market conditions improve.
Cardano is under pressure, but early signs point to accumulation.
$ADA trades near $0.24 at a key long-term support. Sentiment stays bearish. Derivatives show weakness: open interest drops, funding rates turn negative. Traders expect more losses.
Yet whales have bought 270 million ADA. Some investors are snapping up at these prices.
Network activity is low, demand remains weak. If $0.24 holds, ADA might stabilize. But a drop below could push prices lower again.
The oil surge came fast. A spike in demand hit the market.
Markets are entering a crucial week full of increasing uncertainty. The main drivers are a sharp rise in oil prices and a very important labor market report that everyone is watching.
Oil has taken over as the biggest factor affecting sentiment. Prices have gone up more than 45% this month alone. This jump is making financial conditions tighter all over the world. It is not good news for inflation and consumer pressure, as well as businesses, is rising. Higher energy prices are now having a direct impact on expectations of slower economic growth.
Meanwhile, the investors' eyes are on the nonfarm payrolls report to be released. The predictions indicate an addition of around 50,000 to 56,000 jobs, which would be consistent with a gradual cooling of the labor market after some recent disappointments. The unemployment rate is forecasted to remain unchanged, but the market could very rapidly change direction if the data is surprising.
Oil price hikes are leading to changes in central bank expectation. Bond yields have gone up on worries that inflation could remain at a high level for a longer time. As a result, traders are beginning to entertain the possibility that the Central Bank might keep the interest rates higher than what was thought before or may, in fact, raise them again if the inflationary pressures remain.
Apart from employment statistics, the markets will be monitoring consumer confidence, number of job vacancies, and employment-related metrics during the coming week. These economic indicators will enable investors to assess whether the economic momentum is decelerating further or is holding steady.
In the main, this week set the tone set the vibe for the subsequent market phase. Considering the oil-fueled inflation threats and the economic data influencing policy expectations, the upshot would be a continued elevated level of volatility.
Bittensor Explodes as $TAO Surges 90% and Ecosystem Tokens Hit $1.5B
Bittensor is seeing powerful momentum as its ecosystem rapidly expands. The networkโs native token TAO has surged around 90% in March, driven by rising demand and growing interest in decentralized AI.
At the same time, smaller subnet tokens have delivered explosive gains between 200% and 400%, pushing the total ecosystem value close to $1.5 billion. This sharp growth highlights how capital is flowing deeper into the network beyond just the main token.
A major driver behind this rally is a breakthrough in AI development. A 72-billion-parameter decentralized model hit competitive performance, which strengthens faith in bittensor's real-world chances. It seems hard to ignore how far it's come...
Major figures in technology and finance have come forward, lending more credence to the story.
Bitcoin Giant Hits Pause After Massive Buying Streak Ends
Strategy stopped buying Bitcoin last week - no new purchases after a 13-week run of adding coins.
Michael Saylor's team had piled on over 90,000 $BTC since late December. The pause hits hard now, with prices below key support lines.
Instead of signaling another buy, Saylor shifted focus toward a new financial product, suggesting a possible short-term strategy adjustment rather than a full stop.
Despite the pause, Strategy still holds a massive 762,099 BTC, making it the largest publicly traded Bitcoin holder by a wide margin.
The move comes as both Bitcoin and MSTR stock remain under pressure, hinting that even the biggest players may be taking a more cautious approach in the current market phase.
U.S. lawmakers are in the process of coming up with a new stablecoin yield regulatory framework. Early feedback however reveals that the crypto industry and traditional banking players are not entirely pleased with the proposals.
They have reached an initial agreement and a draft is likely to be published very soon. This is a positive development. Still, some issues remain centered on the possibility of caps on yield and the extent to which regulators can have power over the rules in the future.
Although reactions were a bit divided, it is evident that things are moving on in the background. This next step is going to be very important because the proposal will be made public and the talks will go on. Only insignificant alterations are anticipated before it is finally approved.
When I look at SIGN, what feels different to me is not just the verification part but the way it subtly changes how activity even comes into existence.
Most systems I've seen react after something happens. But here structurally it seems that the structure itself is already determining the type of activity that can take place even prior to the execution stage. In a way, it alters the focus from merely responding to the end results, to affecting the very conditions that lead to those results.
For me, that is significant as it alters the way we view participation. It's no longer just about who is active or how many actions occur. It's about how those actions are formed within a system that already defines certain boundaries. In that sense, participation isn't random it's guided by structure.
What stands out to me is the effect this has on consistency. When the system defines the starting conditions, the results tend to follow a more predictable pattern. Not because everything is fixed, but because uncertainty is reduced before execution even begins. That feels like a different layer of control one that works by shaping inputs rather than managing outputs.
I also find it interesting how this changes the overall flow. Instead of scattered, unstructured activity, the system begins to produce more aligned and coherent behavior. That doesn't mean participation is restricted it means the system naturally channels it in a more organized way.
To me, SIGN is operating at a layer that most systems don't focus on. It isn't merely a matter of capturing on-chain activities, but also shaping those actions beforehand to a great extent. This change in direction is what gives it that structural distinctiveness, to me.
SIGN Credential Gating Is Quietly Redefining How Token Distribution Controls Entry, Not Just Outcome
@SignOfficial $SIGN #SignDigitalSovereignInfra Most token distribution systems begin with participation as the entry point. Users interact, complete tasks, generate activity, and only afterward does the system attempt to evaluate who deserves rewards. This creates a fundamental weakness because once participation is open, the system becomes exposed to manipulation, repetitive behavior, and low-quality engagement that must later be filtered out. SIGN approaches this problem from a different angle by shifting the entry condition itself. Instead of allowing open participation and correcting the outcome later, it introduces credential gating before participation begins. This means eligibility isn't only about what a participant does after the fact, but about their verified credentials which also dictate if a participant can even be part of the distribution sequence. The distinction could initially appear tiny however on a structural level, it alters the behavior of the whole system. Usually, in traditional models, the system is required to work with a large and frequently noisy input set. Every wallet that participates becomes part of the evaluation pool, regardless of intent or quality. This forces the system to rely on post-processing filters, which are inherently reactive and often imperfect. SIGN reduces this burden by restricting the input set itself. Only wallets that meet predefined credential conditions are allowed to participate, which immediately changes the composition of the dataset the system has to evaluate.
This creates a shift from reactive filtering to proactive control. Instead of asking how to remove low-quality participants later, the system asks who should be allowed in from the beginning. That shift is not just operational it is strategic. It transforms token distribution from a broad, open system into a controlled environment where the rules of entry define the quality of the outcome. The role of credentials becomes central in this model. A credential is not just a label or a simple eligibility marker. It represents a verifiable state that must be satisfied before access is granted. This introduces a layer of precision that activity-based systems lack. In activity-driven models, participation can be fragmented or artificially generated. In credential-based models, participation is tied to conditions that are harder to replicate or simulate without meeting the actual requirements. This also changes how projects design their distribution strategy. Instead of focusing primarily on how to attract participation, they must focus on how to define the criteria for participation. That introduces a design responsibility at the credential level. If the credentials are too broad, the system loses its filtering power. If they are too narrow, it risks excluding legitimate users. The effectiveness of the distribution is therefore directly linked to how well these credentials are structured. From a systems perspective, this approach also reduces unnecessary load. When unqualified participants are filtered before entering the system, there is less need for heavy validation later. This boosts efficiency and makes distribution clearer. The system uses a smaller, more relevant dataset, outcomes are more predictable, at least in theory. Easier to reason about because the data aligns better with real-world patterns. An important but less obvious consequence of this structure is how it changes the nature of competition within the distribution. In traditional systems, competition includes a wide range of participants with varying levels of effort and intent. Some participants engage meaningfully, while others operate at scale with minimal effort. This creates uneven competition and reduces the signal quality of the system. With SIGNโs credential gating, competition is effectively shifted into a pre-filtered environment. Only participants who meet specific criteria are included, which means the distribution happens within a more consistent and controlled group. This doesnโt eliminate competition, but it changes its characteristics. The variance between participants is reduced, and the distribution becomes more dependent on defined rules rather than uncontrolled behavior. Another thing to think about is the effect of this strategy on participation patterns in the long run. In systems where one can only be eligible by repeated actions, it happens that participation effectively resets every time. Users must continuously engage to remain eligible. In contrast, a credential-based system can introduce continuity, where certain qualifications persist across different distribution events. This creates a structure where participation history and verified status can carry forward, adding a compounding dimension to user engagement. This also introduces a shift in how value is perceived within the system. Instead of viewing each distribution as an isolated event, users can begin to see their credentials as assets that hold ongoing significance. The ability to qualify repeatedly or maintain eligibility becomes part of the userโs position within the ecosystem. From an analytical standpoint, SIGNโs model reduces randomness and increases control. It replaces broad participation with targeted eligibility, which allows for more deliberate distribution outcomes. The system no longer relies on post-event adjustments to correct imbalances. Instead, it attempts to shape those outcomes in advance through credential design. What stands out in this structure is that the real control is not in the distribution itself, but in the conditions that define access to it. By controlling who enters the system, SIGN indirectly controls the quality of what comes out. This is a fundamental shift in how token distribution can be approached, moving from a reactive system to a pre-structured one where eligibility and outcome are closely aligned. In the end, credential gating is not just a filtering mechanism. It is a structural decision that redefines how participation, competition, and allocation interact within a distribution system. By placing control at the entry point, SIGN changes the entire flow of the process, making distribution less about managing outcomes and more about designing the conditions under which those outcomes are possible. @SignOfficial
David Sacks is moving from his White House crypto role into a top tech advisory position, where heโll help shape policy on AI and emerging technologies.
The shift signals a broader focus on AI strategy at the highest level, while crypto takes a step back in direct policy leadership.