Crypto World
The Black Bull (ANSEM) price prediction 2026
A Pump.fun token airdropped to a famous trader’s wallet is up tens of thousands of percent in days. Here is the honest version: this is a high-risk memecoin with no product, and most tokens like it go to zero.
Summary
- The Black Bull (ANSEM) is a Solana memecoin launched on Pump.fun in mid-June 2026, trading near $0.13 with a market cap around $56 million after a move of roughly 26,000% in a week.
- The token was not created by the trader it is named after. An anonymous developer airdropped a large share of the supply to the wallet of Ansem, a well-known Solana influencer, who later embraced it rather than launching his own coin.
- There is no product, roadmap, team, or revenue behind the token. Its price is driven entirely by attention, one influencer’s involvement, and speculative trading, which makes it a casino bet, not an investment.
- On-chain analysis tools have flagged manipulation risk and heavy holder concentration; liquidity is thin relative to the market cap, and the trader associated with it has faced market-manipulation allegations.
- Third-party forecasts that exist for ANSEM are wide and speculative, spanning roughly $0.03 to $0.25, and the most realistic base case for any token of this type is a sharp drawdown, with a real chance of going to near zero.
Before anything else, the blunt version. The Black Bull, traded under the ticker ANSEM, is a memecoin. It has no underlying business, no cash flows, and no roadmap that would anchor a valuation. Its price exists because a famous trader is associated with it and the internet is paying attention.
Tokens like this can produce life-changing gains and total losses inside the same week, and the overwhelming majority of Pump.fun launches lose nearly all their value, many within a single day. Any “price prediction” for an asset like this is closer to handicapping a roulette spin than forecasting a company. Read the rest with that frame fixed in place.
This piece explains what The Black Bull actually is, the numbers behind its move, why it is a casino rather than an investment, the bull thesis stated fairly, the specific ways it could go to zero, what the few forecasters tracking it say, and then bull, base, and bear scenarios. It closes with a short FAQ.
What The Black Bull (ANSEM) actually is
The Black Bull is a Solana token launched on Pump.fun, the memecoin launchpad, around June 16 to 17, 2026, with the on-chain contract address ending in “pump” as Pump.fun tokens do. The story that gave it life is specific. An anonymous developer created the token and airdropped a large portion of the supply, by some accounts around 65%, directly to the wallet of Ansem, a prominent Solana trader and influencer also known by the handle blknoiz06, whose real name is Zion Thomas. Ansem is one of the best-known memecoin personalities on Solana, with roughly a million followers and a reputation as an early caller of tokens like WIF and BONK.
Crucially, Ansem did not create the token, and it is not officially his project. The developer essentially bet that putting the supply in a famous wallet would manufacture attention. It worked. Rather than dump the airdrop or launch a competing coin of his own, Ansem leaned in, reportedly pledging to airdrop creator fees back to holders instead of cashing out, and his wallet holds a very large position, on the order of 600 million tokens that at points represented the bulk of his visible on-chain portfolio. That alignment, a recognizable figure with skin in the game, is the entire bull narrative. It is also the entire risk, because the token’s fate is tethered to one person’s continued involvement.
The numbers behind the move
As of late June 2026, ANSEM trades near $0.13, having reached a peak around $0.14 on June 29. The 7-day move was roughly 26,000%, the kind of figure that only appears in freshly launched memecoins coming off a near-zero base. The market cap sits around $56 million, with roughly 410 million of a 1 billion total supply in circulation, implying a fully diluted valuation closer to $136 million. The token ranks somewhere around #374 by market cap, and daily trading volume has run between roughly $60 million and $94 million, which against a $56 million cap produces a volume-to-market-cap ratio above 2.
That ratio is itself a warning light: it means the token turns over its entire value more than twice a day, the signature of frantic speculative churn rather than steady holding. ANSEM trades across venues including PumpSwap and Meteora on Solana, with perpetual futures listed on some offshore exchanges such as MEXC and others, and it has appeared as a verified token on Solana interfaces like Jupiter and Phantom. The presence of leveraged perps on a token this young amplifies the volatility in both directions, because liquidations can cascade fast when the price moves.
These numbers describe a token in the most volatile possible phase of its life. The percentage gains are real, and so is the fragility underneath them.
Why this is a casino, not an investment
This section is the heart of the piece, and it is deliberately heavier than the bull case, because the risks here are not footnotes. They are the main event.
First, there is nothing to value. ANSEM has no product, no revenue, no roadmap, and no team in the conventional sense. There is no cash flow to discount, no user base to grow, no utility that creates demand for the token beyond speculation. Its price is a pure function of attention and belief, both of which can evaporate without warning.
Second, on-chain analysis has flagged it. Token-screening tools such as Rugcheck have raised manipulation warnings tied to supply concentration in wallets that are not clearly identified. Heavy concentration means a small number of holders could move the price violently or exit into the liquidity that retail buyers provide. Thin liquidity relative to the market cap compounds this: when real liquidity is shallow, a few large sells can collapse the price far faster than the order book suggests.
Third, the person at the center carries his own controversy. The trader associated with the token has faced market-manipulation allegations in the broader memecoin context, which adds reputational and regulatory risk to an asset whose entire thesis rests on his involvement. If he steps back, sells, or is forced to distance himself, the narrative that supports the price can vanish.
Fourth, the base rate is brutal. The large majority of Pump.fun memecoins lose almost all their value, frequently within hours or days of launch. Survivorship bias makes the winners loud and the thousands of dead tokens silent. Treating ANSEM as likely to be one of the rare survivors, instead of one of the many that fade, is the single most common and most expensive mistake buyers of tokens like this make.
Put together, these are not reasons to never touch a memecoin. They are reasons to size any exposure as money one is fully prepared to lose, and to never confuse a fast chart with a sound investment.
The bull thesis, stated fairly
For balance, the case the buyers make deserves a fair hearing, even inside a risk-first frame. The bull argument has 3 legs. The first is reach: Ansem commands a large, engaged audience, and in memecoins, attention is the scarce resource that drives price. A token he is actively associated with has a built-in distribution advantage that most launches never get.
The second is alignment. By reportedly pledging to route creator fees back to holders instead of launching a separate token to cash in, Ansem signaled that his incentives point in the same direction as the people holding the coin, at least for now. In a category defined by developers dumping on their communities, an influencer choosing to share fees is a comparatively constructive signal.
The third is the Solana memecoin meta itself. Solana has repeatedly produced memecoins that ran far longer and higher than skeptics expected, and the ecosystem’s culture, low fees, and fast launches keep the speculative engine fed. In a market where attention rotates quickly, a token with a recognizable face and an active community can sustain a narrative longer than a faceless launch.
None of this changes the absence of fundamentals. The bull case is a bet that attention and alignment persist long enough to matter, which is a real but fragile proposition.
What could make it go to zero
The bear mechanics are concrete and worth naming, because they are the most probable outcome for tokens of this kind. Concentration is the first: if large holders, identified or not, decide to sell into the thin liquidity, the price can fall faster than buyers can react, and early entrants exit at the expense of late ones. Liquidity withdrawal is the second: if liquidity providers pull their positions, the token can become nearly untradeable at anything close to the quoted price.
Narrative death is the third and most likely slow killer. Memecoins live on attention, and attention is finite. When the crowd rotates to the next launch, volume dries up, the chart bleeds, and the token drifts toward irrelevance even without a dramatic crash. Copycats accelerate this, as the inevitable wave of imitation tokens splits the speculative capital and dilutes the original’s mindshare. Finally, the single-person dependency is the acute risk: if Ansem sells, goes quiet, or is forced to distance himself for legal or reputational reasons, the one pillar holding up the price is removed, and there is nothing fundamental left to catch it.
Any one of these can take a token like this down by 80% or more in short order, and several can combine. This is not a tail risk for ANSEM. It is the central scenario that any honest forecast has to treat as the base case.
What forecasters say
A handful of exchange-affiliated outlets have published speculative ANSEM ranges, and they should be read as guesses about a chaotic asset, not as analysis grounded in fundamentals, because there are no fundamentals to ground them in. These are 3rd-party figures, not endorsements.
Some short-term models from venues such as WEEX have sketched a near-term base band roughly between $0.085 and $0.135, a momentum upside toward $0.15 to $0.18 if attention holds, and a downside toward $0.06 to $0.075 if it fades. Broader 2026 ranges floated by outlets including BTCC and WEEX span roughly $0.03 to $0.25. The width of these ranges, a possible multiple up or a collapse of more than half, is the most honest thing about them: it concedes that the outcome is dominated by reflexive sentiment, not by anything that can be modeled. For an asset like this, the error bars are the message.
The pattern this fits: influencer memecoins before ANSEM
The Black Bull is not the first token to run on a famous name, and the history of the pattern is the most useful guide to its likely path. Solana has produced a long line of influencer-linked and celebrity memecoins, some tied to the same callers who built reputations on early WIF and BONK trades. The recurring shape is familiar: a token attaches itself to a recognizable figure, attention floods in, the price goes parabolic on a near-zero base, and a wave of buyers arrives late expecting the early gains to repeat. What happens next sorts almost entirely on whether attention and the figure’s involvement persist.
The brutal majority outcome is decay. Most of these tokens fade within days or weeks as the crowd rotates to the next launch, leaving holders who bought the peak deeply underwater. A small number sustain a community and trade sideways at a fraction of their high for longer. A rare few extend into something more durable, and those are the cases the next round of buyers remembers, which is exactly how survivorship bias keeps the cycle turning. The honest framing is that ANSEM is drawing from the same deck, and the base rates for that deck are unforgiving.
What makes The Black Bull slightly different from a faceless launch is the creator-fee airdrop dynamic, which gives the central figure a reason to stay engaged instead of dumping immediately. That can extend the attention window. It does not change the category math.
An influencer can prolong a memecoin’s life, but no influencer has reliably prevented the eventual reversion that defines the type. Treating ANSEM as exempt from that pattern, because this time the figure seems aligned, is the precise belief that has separated late buyers from their money in every prior cycle.
If you choose to speculate anyway
This is not a recommendation to buy ANSEM or any memecoin. But because people will trade tokens like this regardless of warnings, the harm-reduction principles that disciplined speculators apply are worth stating plainly, since they are the difference between a survivable loss and a damaging one.
The first principle is sizing. Money committed to an asset like this should be money one can lose in full without affecting rent, savings, or obligations, because total loss is a realistic outcome, not a worst case. The second is that the position should be treated as already gone the moment it is opened, which removes the emotional pressure that leads people to average down into a falling token or chase it higher. The third is that taking profits on the way up is the only way speculative gains become real; a paper gain in a token with thin liquidity is not a realized gain until it is sold, and the same shallow liquidity that let the price spike can prevent an exit at the quoted price on the way down.
The fourth principle is to distrust leverage entirely here. The presence of perpetual futures on a token this young and this volatile is a fast path to liquidation, because the swings that make memecoins exciting also trigger margin calls in minutes.
The fifth is to verify instead of assume: checking the contract, the liquidity, and the holder concentration before committing, instead of trusting a chart or a name. None of this makes a memecoin a sound investment. It makes the gamble less likely to cause real damage, which is the most honest advice anyone can give about an asset with no fundamentals.
Bull, base, and bear scenarios for ANSEM
These scenarios are illustrative and speculative. For a memecoin with no fundamentals, they describe possible paths driven by attention and holder behavior, not valuations. The bear case is weighted as the most probable, consistent with how tokens of this type typically resolve.
Bull case
In the bull scenario, Ansem stays actively involved, the creator-fee airdrops keep holders engaged, and the Solana memecoin meta stays hot enough to keep attention flowing. Volume holds, new buyers keep arriving faster than early holders exit, and the token sustains or extends its level, pushing toward the upper speculative bands near $0.15 to $0.25 that the most optimistic 3rd-party ranges describe. This case requires attention to persist, concentration not to unwind, and no reputational or regulatory shock to the figure at its center. It is possible, and in memecoins it does happen, but it is the minority outcome.
Base case
In the base scenario, the initial frenzy cools as it almost always does. Volume fades from its launch peak, the chart gives back a large portion of the parabolic move, and the token settles into a lower, choppier range, perhaps the $0.06 to $0.13 zone, while it searches for whether a durable community remains after the hype. From there it either grinds out a smaller, attention-dependent existence or slowly bleeds lower as the crowd moves on. Even this “survives but deflates” path involves a substantial drawdown from the peak for anyone who bought the top.
Bear case
In the bear scenario, which is the most likely for a token of this kind, the attention rotates away, concentration unwinds into thin liquidity, or the single-person narrative breaks. The price falls 80% or more from its highs and continues toward near zero as volume disappears, joining the large majority of Pump.fun launches that do not survive. A liquidity pull, a large holder exit, a wave of copycats, or the central figure stepping back are each sufficient to trigger this, and they often compound. Anyone holding into this scenario should expect to lose most or all of the position.
Frequently Asked Questions
Did Ansem create The Black Bull token?
No. The token was created by an anonymous developer who airdropped a large share of the supply to Ansem’s wallet to attract attention. Ansem, the Solana trader also known as blknoiz06, did not launch it, and it is not officially his project. He later embraced it and reportedly pledged to share creator fees with holders, but the origin was a 3rd party using his name and wallet.
Why has ANSEM risen so much?
The move, roughly 26,000% in a week, reflects a freshly launched memecoin coming off a near-zero base combined with the attention of a well-known influencer. There is no product or revenue driving it. The price is a function of speculation, social momentum, and one person’s involvement, which is exactly why it can reverse just as violently.
Is The Black Bull a safe investment?
No. It is a high-risk memecoin with no fundamentals, flagged manipulation and concentration risk, thin liquidity, and a price dependent on a single person’s involvement. The large majority of tokens like it lose nearly all their value. It should be treated as a speculative gamble with money one is fully prepared to lose entirely, not as an investment.
What are the biggest risks?
The biggest risks are holder concentration selling into thin liquidity, liquidity providers withdrawing, attention rotating away and the narrative dying, copycat tokens splitting interest, and the central figure selling or stepping back for legal or reputational reasons. Any one can cause an 80%-plus decline, and they often combine.
What price targets do forecasters give?
Speculative 3rd-party ranges from exchange-affiliated outlets span roughly $0.03 to $0.25 for 2026, with short-term bands near $0.06 to $0.18. These are guesses about a chaotic, sentiment-driven asset, not fundamentals-based analysis. The wide ranges reflect that the outcome cannot be modeled with any confidence.
What is the most likely outcome?
For a memecoin of this type, the most likely outcome is a sharp drawdown from the peak, with a meaningful chance of trending toward near zero as attention fades. A minority of such tokens sustain a smaller community-driven existence, and a rare few extend higher. Betting on the rare outcome is the most common and costly mistake.
Disclaimer: This article is for information purposes only and does not constitute financial, investment, or trading advice. Memecoins are extremely high-risk, speculative assets with no underlying value, and most lose nearly all of their value. Prices are highly volatile, and the figures here, accurate as of June 30, 2026, will change rapidly. Nothing here is a recommendation to buy or sell any asset. Never invest more than you can afford to lose entirely, and consider consulting a licensed professional before making financial decisions.
By the end of 2025, the power capacity tied to artificial intelligence data centers worldwide had reached about 29.6 gigawatts (GW), enough to run all of New York state at peak demand, according to Stanford University’s annual report on the AI industry.
The report, released in April, suggests that compute itself is abundant and getting cheaper. Permitted, grid-connected, ready-to-draw electricity is in high demand, but the sources to power it are much harder to come by. One industry has spent the past decade quietly building exactly that infrastructure for a different reason: Bitcoin mining.
AI data center power capacity reached about 29.6 GW by the end of 2025, comparable to New York state at peak demand. Source: Stanford University
Chips get more efficient, but total demand rises
The economics of chips are moving in the opposite direction. Stanford said the cost of GPU computation has dropped more than 99% since 2006, while leading chips now perform far more work per watt than they did a decade ago. But efficiency gains have not reduced total demand. They are instead poured back into larger models rather than banked as savings, keeping the pressure on the power grid.
The cost of GPU computation has fallen more than 99% since 2006, even as total power draw climbed. Source: Stanford University
Stanford estimates that the most demanding training runs, including for systems such as Llama 4 Behemoth, have pulled upward of 100 megawatts (MW), comparable to a small power plant. Capacity dedicated to AI has risen some 200-fold in three years, from under a gigawatt in 2022, and data center electricity use is projected to keep rising through 2030.
The squeeze is geographic as much as numerical. The United States hosts 5,427 data centers, more than 10 times any other country, according to Stanford.
Chips can be ordered and delivered in months, but energizing a site, with its substation, interconnection approval and cooling, takes years.
Counted across full systems rather than the accelerators alone, AI’s cumulative power demand through 2024 reached an estimated 9.4 GW, close to the national electricity use of Switzerland or Austria and about half the estimated draw of Bitcoin mining.
Estimated all-in AI power demand (through 2024) sits near half of Bitcoin mining’s. Source: de Vries-Gao, Stanford University
The asset was never the hardware
But Bitcoin miners cannot just hand their machines to an AI lab. Mining ASICs (the chips that solve Bitcoin calculations) do one narrow job and are useless for training or inference. What does transfer is everything around the chips, such as the energized sites, power contracts, grid hookups and the shells to cool dense racks.
A Bitcon miner that already has a grid connection has infrastructure ready to fill the gaps for the AI developers, and renting that capacity beats starting over. Miners also tend to sit where AI wants to be anyway, in cheap-power US states like Texas and the Gulf Coast.
Mining economics is itself a numbers-crunching game. JPMorgan recently estimated Bitcoin’s all-in production cost at about $78,000 per coin, well above BTC’s market price of around $53,400 at the time of writing, down by more than 34% year-to-date, according to CoinGecko.
Bitcoin is down by around 34% in 2026. Source: CoinGecko
Cointelegraph previously reported that hashprice had fallen below breakeven for many miners, putting about 20% of the industry in unprofitable territory.
Some major contracts between miners and AI infrastructure operators followed. In November 2025, Iren signed a five-year GPU cloud deal with Microsoft worth about $9.7 billion, served from a 750-megawatt campus in Childress, Texas. In December, Bitcoin miner Hut 8 signed a 15-year, $7 billion lease with Fluidstack for 245 megawatts at its River Bend site in Louisiana, with the payments backstopped by Google.
TeraWulf reported $12.8 billion in contracted high-performance computing (HPC) revenue and now earns more from leasing than mining. Core Scientific has expanded its CoreWeave agreement to $10.2 billion over 12-year terms. Across the listed miner sector, CoinShares counts more than $70 billion in announced AI and HPC contracts, but much of the value is years out. Hut 8’s River Bend site, for example, is not due to start commissioning until the second quarter of 2027.
Related: TeraWulf doubles AI revenue but posts $427M quarterly loss as mining income declines
Investors have nonetheless rewarded the shift. Hut 8 stock jumped about 20% in premarket trading the day its lease was announced, Reuters reported, and across the sector, valuations are increasingly tied to compute pipelines rather than the Bitcoin price alone. Indeed, CoinShares said the miners with HPC contracts were trading at 12.3 times the value of their 12-month revenue vs 5.9 times for pure play miners. CoinShares’ projects listed miners could derive as much as 70% of revenue from AI by the end of 2026, up from roughly 30% in Q1.
Why it is not a free pivot
However, the conversion is far from cheap, and is not just a matter of plug-and-play. CoinShares estimates that mining infrastructure costs about $700,000 to $1 million per MW, while AI-grade, liquid-cooled infrastructure can cost $8 million to $15 million per MW. Hyperscalers also demand power density, redundancy and uptime guarantees that many mining facilities were never designed to provide.
Related: Celsius-linked Bitcoin miner Ionic Digital seeks Nasdaq direct listing amid AI pivot
Miners are covering that gap with debt and new capital raises. Iren had already disclosed about $3.75 billion in convertible note debt at the end of March, then raised another $3 billion through a new convertible note sale in May.
The sector is also leaning on a small group of hyperscalers and AI infrastructure buyers. If demand cools, customers renegotiate or projects slip, miners that have torn out ASICs may have fewer options to fall back on.
Whether that shift away from BTC mining pays off remains an open question. Signing multibillion-dollar AI contracts is one thing, but delivering the earnings investors expect is another.
For now, the market is placing a premium on miners making the transformation rather than those that simply produce new BTC. If AI demand continues to outpace electricity supply, those assets could prove more valuable than the machines they were originally built to support. If not, some of today’s biggest AI plans could prove to be costly bets, rather than real second acts for former Bitcoin miners.
Magazine: Bitcoin miners are pivoting to AI, so why is the hashrate near ATHs?
Disclosure: This article does not represent investment advice. The content and materials featured on this page are for educational purposes only.
An XRP Power user shares a story of financial recovery, encouraging users to explore its platform and AI-powered digital asset services.
On a winter night, the temperature on the streets of New York dropped to freezing. A ragged man huddled on a bench near a subway station, his only old coat wrapped tightly around his body. At that time, he had no job, no fixed address, only a few coins in his pocket, and he didn’t even know if he would have a hot meal the next day.
Few passersby stopped, and no one would have imagined that this seemingly insignificant homeless man would, a few months later, achieve financial freedom and own a million-dollar fortune.
The low point of life
Before becoming homeless, he lived an ordinary life, with a family, a job, and expectations for the future. But all of this was quickly shattered by reality, bit by bit.
His marriage ran into problems, and the breakdown of his family plunged him into both emotional and financial hardship. Not long after, his company laid off employees, and he lost his only stable source of income.
To get back on his feet, he decided to start his own business, investing all his meager savings. However, due to inexperience and an unfavorable market environment, the business quickly failed. Instead of recovering, he was burdened with debt.
When all possible avenues were exhausted, he lost his home and was forced to move between shelters, his car, and the streets. During that time, he truly experienced for the first time what it meant to have “no way out.”
Turning point
During his most difficult time, a chance encounter changed circumstances.
Through a former colleague, he saw discussions and introductions about XRP Power in the Global Times. This caught his attention. Hiscolleague had been with XRP Power for some time and had earned a considerable amount of money there, but when he told him, he didn’t have the funds to risk investing.
For the next two months, he focused primarily on observation and understanding, gradually familiarizing himself with the platform’s operation and only making very small trial investments.
After confirming the basics, he officially joined. Although the earnings weren’t high, during his most difficult time, he successfully withdrew $100 for the first time, enough to support his basic living expenses for several days.
From then on, he gradually increased his investment while continuing to learn and adjust his strategies.
In the following months, his income began to stabilize, his life gradually emerged from its lowest point, and a real turning point began to appear.
The process
After gradually seeing a glimmer of hope, he began to plan each step more cautiously.
Initially, he only used a small amount of about $100 to try it out, mainly to familiarize himself with the rules and control risk, rather than pursuing a complete change in his situation.
After things stabilized somewhat, he gradually increased hisinvestment to about $5,000, then $50,000, and only later, when he felt more confident, did he gradually moved to the $100,000 level. Throughout this process, he maintained a phased and controlled pace, rather than a one-time investment.
In this process, he learned to adjust his strategy according to different stages, making his financial arrangements more stable, rather than chasing short-term fluctuations.
From the initial cautious attempts to the gradual expansion, he was more focused on managing his own rhythm than simply pursuing results.
Looking back, the real change wasn’t a single investment, but rather long-term adjustments and perseverance.
In conclusion
Looking back on this experience, he has returned to a stable life from living on the streets.
For him, this isn’t a story of “sudden success,” but rather the result of taking it one step at a time. The low point taught me to calmly face reality and made him understand the importance of perseverance and making the right choices.
He says, the hardest thing in life isn’t falling down, but whether someone can start over after falling down.
From homelessness to regaining his footing, there were no shortcuts, only continuous attempts and adjustments.
What truly changes your destiny isn’t the starting point, but the step taken forward even at someone’s lowest point.
Join XRP Power achieve a better life and be the starting point for financial freedom.
Disclosure: This content is provided by a third party. Neither crypto.news nor the author of this article endorses any product mentioned on this page. Users should conduct their own research before taking any action related to the company.
Bitcoin Core has released version 31.1rc1, fixing a privacy flaw in PrivateBroadcast while introducing software, wallet, and validation improvements ahead of the next stable mainnet release.
Summary
- Bitcoin Core 31.1rc1 fixes a privacy flaw that could expose users’ IP addresses during PrivateBroadcast.
- The release also improves blockchain validation, wallet accuracy, networking, and MuSig2 security.
- Developers are encouraging community testing before the stable version is released.
According to the Bitcoin Core development team, version 31.1rc1 is now available as a release candidate, giving users, node operators, and developers an opportunity to test nearly finished software before the official production release. The developers said the testing period is intended to uncover any remaining issues that may not have appeared during internal development.
The most notable change addresses a privacy issue affecting the PrivateBroadcast feature. According to the release notes, certain network conditions could expose a user’s internet address by allowing a connection outside the intended privacy network. The updated software removes that behavior, making transaction broadcasting more consistent for users who rely on privacy-focused network configurations.
Privacy protections and node performance receive upgrades
Alongside the privacy fix, the Bitcoin Core developers introduced several changes to improve blockchain validation and long-term node performance. According to the project documentation, the software now manages transaction-related data more efficiently while maintaining a leaner blockchain database, a change designed to reduce unnecessary storage growth and improve performance as the chain expands.
Networking behavior has also been refined. The developers said Bitcoin Core now handles proxy settings and PrivateBroadcast connections more intelligently, providing more predictable behavior for users routing traffic through privacy tools such as proxy networks.
Wallet functionality received additional maintenance updates as well. According to the release notes, migration checks have been improved, and transaction input size estimation has been refined, allowing wallet operations to calculate transaction data more accurately behind the scenes without changing the user experience.
Security improvements extend to signatures and developer tools
Security-related updates also include additional safeguards for MuSig2, the signature aggregation protocol supported by Bitcoin Core. According to the developers, the software now rejects empty public key lists that contain invalid public keys, preventing incorrect signature aggregation and improving validation during multi-signature operations.
Several changes were introduced for developers maintaining or building software around Bitcoin Core. The release notes state that testing utilities have been cleaned up, race conditions have been removed, fuzz testing has been expanded, and build systems have been updated to improve software reliability during development.
Configuration handling has also been strengthened. Before saving important settings, Bitcoin Core now performs checks for failed write operations, a safeguard the developers said can help prevent configuration errors caused by unsuccessful disk writes.
Version 31.1rc1 is available for current versions of Linux, macOS, and Windows. According to the Bitcoin Core team, users running recent software versions can upgrade directly, although systems upgrading from much older releases may require additional time to migrate existing blockchain data.
Because version 31.1rc1 remains a release candidate rather than the final production version, the developers are encouraging the community to install the software in test environments, verify its behavior under real-world conditions, and report any bugs before the stable release reaches the Bitcoin network. The project said feedback collected during this testing phase will help identify remaining issues before the software is finalized.
Disclosure: This article does not represent investment advice. The content and materials featured on this page are for educational purposes only.
A new guide explains how crypto trading bots automate strategies, manage risk, and execute trades across spot and futures markets around the clock.
Summary
- This guide explains how crypto trading bots automate strategies, manage risk, and operate across volatile markets 24/7.
- Learn how grid, DCA, and other crypto trading bots work, plus setup tips, backtesting, and strategy basics.
- Explore crypto trading bots, popular strategies, and practical guidance for automating trades across crypto markets.
A crypto trading bot can help users automate their trading strategies across volatile markets without staring at charts around the clock. This guide covers everything from grid trading and signal bot management to setup and optimization, so anyone can decide if automated crypto trading fits their plan.
Key takeaways
Modern trading bots automate buy and sell orders on a crypto exchange 24/7, executing trades based on predefined parameters while sleeping, working, or simply stepping away. Automated trading reduces stress and emotional mistakes, letting a strategy run without hesitation. Here are the essentials:
- Grid bots and DCA bots dominate retail bot trading in 2026, profiting from market volatility by buying low and selling high across multiple levels.
- Bots support long and short positions on both spot and futures markets, depending on the exchange and configuration.
- Backtesting and paper trading are non-negotiable before committing real money. Setting up a profitable trading bot requires an understanding of trading strategies and market mechanics.
- Profitability is never guaranteed. In comparative tests, only 3 of 8 bots produced consistent profit over six months. Success depends entirely on strategy and discipline.
What is a crypto trading bot?
A crypto trading bot is software that automatically executes buy and sell orders on a crypto exchange based on predefined rules or algorithms. Bots connect to exchanges via APIs to manage, buy, and sell cryptocurrencies, acting on real-time price data without manual intervention. Automated trading can operate 24/7 without human intervention across dozens of trading pairs simultaneously.
Common bot types include: grid trading bot, DCA bot, arbitrage bot, market-making bot, and trend-following bot. Each uses different indicators and logic to automate decisions. Since 2017–2018, crypto trading bots have evolved from simple scripts into full platforms with dashboards, mobile apps, cloud hosting, and a growing community of traders sharing custom strategies.
How crypto trading bots work in practice
A typical workflow looks like this: connect an exchange via api keys, select a strategy, define risk parameters, enable the bot, then track performance over time. Crypto trading bots continuously monitor market data, including price and volume, evaluate conditions against a setup, and submit orders via exchange APIs.
Market analysis involves monitoring price, volume, order books, and technical indicators. Bots use limit orders, market orders, stop-loss, take-profit, and trailing stops to manage positions. They handle position sizing, scaling in, and scaling out for both long and short positions. Advanced bots can use machine learning or statistical models, but most retail bots in 2026 rely on rule-based strategies and backtested parameters. Automated bots can execute trades based on predefined parameters consistently, whether users configure a simple grid or a complex signal-based system.
Popular types of crypto trading bots
Bots differ mainly by strategy logic and how they respond to market volatility. No single bot type is best for making money; performance depends on configuration, risk limits, and market regime.
Grid trading bots
A grid trading bot places a series of buy and sell limit orders at predefined price levels, creating a grid that profits from price oscillations. Grid trading bots buy low and sell high automatically, and a grid bot operates within a predefined price range. Automated trading can profit in sideways markets with grid strategies, where price bounces between support and resistance.
Visually, the grid looks like horizontal lines between a lower price bound and a higher price bound, with buy orders on lower levels and sell orders on higher levels across multiple levels. Variations include:
- Neutral Grid bots profit in sideways markets by buying low and selling high
- Long Grid bots accumulate profits during upward trends by buying dips
- Short Grid bots automate short-selling in bearish market conditions
- Infinity Grid bots expand upward without an upper price limit
- Futures Grid bots operate on derivatives markets using leverage
Grid bots can be configured for bullish or bearish markets. Key parameters include grid range, number of grid levels, order size, base vs quote currency, and safety stops. A short grid bot works best during bearish conditions, while a long grid bot captures upside in trending markets. Users can also run hedge mode to maintain positions in both directions simultaneously.
DCA bots
Dollar-Cost Averaging (DCA) purchases a set amount of cryptocurrency regularly, and DCA bots automate this process by buying more as the price drops. For example, a DCA bot might buy $50 every time the price drops 5%, averaging entry at a lower price across multiple steps.
DCA bots combine with take-profit targets and trailing exits to lock gains once the average entry returns to profit. Be cautious: aggressive DCA without caps can lock all capital into a losing position. Always set a maximum number of safety orders and a fixed allocation.
Signal-based and copy trading bots
A signal bot executes trades automatically when it receives external signals from TradingView signals, custom APIs, or third-party providers. Traders connect indicators from platforms like TradingView to trigger automated orders on their crypto exchange account.
Copy trading bots mirror trades from a strategy provider onto the user’s balance, making automation accessible to beginners. Always evaluate any new signal source with paper trading first, apply strict risk limits per trade, and verify the provider’s data and track record before committing real money.
Key features to look for in a crypto trading bot platform
Not every platform delivers equal results. Feature set, security, and reliability determine long-term success.
Essential features include support for major exchanges (spot and futures), backtesting, paper trading, robust risk management tools, and a responsive support team. Look for a visual strategy builder, pre-made templates for grid trading and DCA, clear performance analytics, and detailed documentation. Security risks include vulnerabilities in API keys used by bots for trading, which always require encrypted key storage, no withdrawal permissions, 2FA for account access, IP whitelisting, and activity logs. No credit card is required to start on most platforms.
Exchange connectivity and market coverage
A serious platform in 2026 should support multiple top-tier exchanges like Binance, OKX, Bybit, Coinbase, and Kraken for spot and derivatives. Users might notice the OKX logo alongside Binance and Bybit on most bot platforms. Check exchange-specific limits-minimum order size, tick size, and leverage caps-that affect bot configuration. Running the same grid strategy on two exchanges can produce different outcomes due to liquidity and fee differences.
Backtesting, paper trading, and optimization
Backtesting means running a strategy on historical market data to estimate performance before risking capital. Backtesting strategies on historical data increases trading confidence. Grid trading strategies can be backtested over 15 days or longer to see how they handle both sideways phases and sharp breakouts.
Paper trading simulates live conditions with virtual balances. Optimize by adjusting grid width, number of levels, and take-profit distances. But beware of overfitting-strategies that perform perfectly on past data may fail in future volatile markets.
Risk management for bot trading
Successful bot trading requires strict risk management strategies. Automated trading amplifies both good and bad strategies, so risk controls are non-negotiable.
- Never invest money that someone cannot afford to lose
- Diversify across strategies and pairs
- Cap maximum exposure per bot to 1–3% of total account equity
- Use stop loss, equity limits, and max daily loss rules
Always start with a small size in live mode, even after successful paper trading, to account for slippage and execution differences.
Specific risks of grid trading bots
Range break risk occurs when price trends strongly beyond the grid range, leaving unclosed positions and large unrealized losses. Grid bots can also tie capital in numerous open orders, reducing flexibility. If grid steps are too narrow, trading fees (0.1–0.2% per cycle) consume most of the profit. Set an emergency stop loss beyond grid boundaries and monitor an account daily.
Leverage and futures Bots: Long and short positions
Futures grid bots and DCA bots can use leverage to open long and short positions, amplifying both profits and losses. Isolated margin limits risk to a single position; cross margin exposes the entire account. Moderate leverage (2x–5x) suits most automated strategies. A short grid bot on BTC during a rapid short-covering rally can face liquidation. Understand the exchange’s funding fees, liquidation mechanics, and margin requirements before enabling any futures bot.
How to get started with a crypto trading bot in 2026
Start by learning basic crypto trading concepts, then choose a reliable exchange, enable 2FA, and create api keys with trading-only permissions. Select a platform that supports grid trading, DCA bots, paper trading, and clear tools to track performance. Begin with a simple predefined template instead of complex custom strategies on day one.
Step-by-Step Setup Checklist
- Create an exchange account, complete KYC, and enable 2FA
- Generate API keys-trading permissions only, no withdrawals, restrict by IP
- Connect a bot platform and enable paper trading
- Select a bot type (e.g., BTC/USDT neutral grid: wide range, 5–10 levels, small order size)
- Run simulation for 2–4 weeks, then go live with minimal capital
- Monitor logs, open orders, and realized PnL daily in the first week
After several weeks of stable results, gradually scale positions or deploy additional bots. Document every setup, result, and adjustment in a trading journal format to optimize an approach over time. Send a message or alert for any configuration change.
Advanced topics: Strategy design and optimization
Serious traders eventually design or configure their own trading strategies, combining indicators like RSI, moving averages, and Bollinger Bands with grid or DCA logic. Regime detection-distinguishing sideways vs trending markets-helps decide when to switch bots on or off. Multi-timeframe analysis (1-minute entries, 1-hour trend direction) improves robustness, and simple statistical filters like volatility thresholds can boost consistency.
Monitoring, analytics, and troubleshooting
Track metrics beyond profit: win rate, average trade size, maximum drawdown, and profit factor. Set up alerts (email, mobile, Telegram) for key events-bot stopped, API errors, equity drawdown thresholds. Common problems include a bot not trading due to a too-narrow grid, an incorrect position mode (hedge vs one-way), or an invalid symbol mapping. Manage a regular review schedule: daily quick check, weekly deeper analysis, monthly parameter review to keep performance aligned with current market conditions.
Legal, tax, and ethical considerations
Regulations and tax rules vary by country and change frequently-consult local professionals. Some jurisdictions classify certain automated strategies as investment services requiring licensing. Profits from bot trading are typically taxed like manual crypto gains, but the higher trade volume means heavier record-keeping. Use exportable trade histories from your platform to simplify reporting. Avoid market manipulation tactics and respect exchange terms of service.
FAQ
Is a crypto trading bot profitable for beginners?
Bots do not guarantee profits-they execute a strategy consistently, so a bad strategy will still lose money. Beginners should use simple grid bots or dca bots with low risk settings and focus on learning risk management. Start with paper trading for at least 2–4 weeks, then go live with very small amounts.
How much money do I need to start bot trading?
Some exchanges allow orders as small as $10–$20, but the recommended capital for grid trading is $200 to properly cover multiple grid levels and minimum order sizes. Don’t deploy all capital into a single bot-keep a cash buffer and diversify.
Can I run multiple crypto trading bots at the same time?
Most modern platforms support running many bots simultaneously on different pairs or even the same pair with different strategies. Track total exposure to avoid over-allocating across overlapping bots on correlated assets, and cap active bot allocation at 30–50% of an account.
What hardware and internet connection do I need?
Cloud-hosted platforms remove most hardware requirements. Self-hosted bots need a stable VPS (1–2 vCPUs, 2–4 GB RAM) with low-latency internet and a system clock synchronized via NTP. Avoid hosting critical bots on unreliable home connections without power backup or remote access.
How do I know if my API keys are safe on a bot platform?
Always disable withdrawal permissions and enable 2FA on both the exchange and bot platform. Choose platforms with encrypted key storage, IP whitelisting, and transparent security documentation. Rotate keys every 3–6 months and revoke immediately if suspicious activity is detected.
Disclosure: This content is provided by a third party. Neither crypto.news nor the author of this article endorses any product mentioned on this page. Users should conduct their own research before taking any action related to the company.
Almost 1,700 UK investors are reportedly suing Binance and its founder Changpeng Zhao for 150 million British pounds ($200 million), alleging the crypto exchange offered and sold crypto derivatives without regulatory approval.
The law firm representing the investors, KP Law, said Binance’s leverage tokens, futures contracts and options offerings breached the Financial Services and Markets Act 2000 and that these products continued to be offered after the Financial Conduct Authority banned such products from being offered to retail customers in January 2021.
“There appeared to be no effective barrier preventing UK customers from accessing them,” the law firm said.
Binance told Cointelegraph it would “defend against these claims through the appropriate legal process” and it “remains committed to its obligations to users and to operating in accordance with applicable law.”
Source: Cointelegraph
The lawsuit adds to a growing list of legal and regulatory challenges for the crypto exchange, including recently failing to secure a Markets in Crypto-Assets-compliant license from a European Union member state before the July 1 deadline.
Binance has also been facing allegations that it facilitated $850 million in transactions tied to a sanctioned Iranian financier that flowed to Iran’s Islamic Revolutionary Guard Corps. The crypto exchange strongly denied the allegations.
Binance UK customers lost “tens of thousands of pounds”
One of the affected customers, Tomas Sutas, was a financial controller who allegedly invested more than 100,000 British pounds ($132,400) into Binance’s derivatives products before the value of his investments was wiped out, the Financial Times reported.
Reuters also reported that multiple UK users lost “tens of thousands of pounds” through the products.
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KP Law said it is still identifying the full scope of affected customers.
“While the precise number of UK customers affected is not publicly known, Binance is one of the world’s largest cryptocurrency exchanges, meaning that a substantial number of users could potentially have been exposed to these issues.”
Binance’s operations in the UK became heavily restricted in June 2021 when the FCA informed Binance Markets Limited that it couldn’t operate in the region without written consent.
Reuters noted that the lawsuit was filed in the London High Court.
The Binance-affiliated Nest Exchange and “persons unknown” were also named as defendants.
Magazine: Bitcoin slides to $58K, XRP hits $1 but onchain data promising: Market Moves
Circle Internet Group shares have dropped more than 17% after a consortium backed by BlackRock, Google, Visa, Coinbase, and more than 140 other companies unveiled a competing revenue-sharing stablecoin.
Summary
- Circle shares fell 17.5% after Open USD launched with backing from BlackRock, Google, Visa, Coinbase, and 140+ partners.
- Open USD introduces a revenue-sharing model that distributes most reserve income to ecosystem participants.
- Circle CEO Jeremy Allaire said USDC will continue expanding despite growing competition in the stablecoin market.
According to Yahoo Finance market data, Circle closed at $62.65 on Tuesday, down 17.52% from the previous session after falling as low as $62.52 during intraday trading. The stock opened at $72.25 and extended losses throughout the day before stabilizing near its session low.
Trading volume climbed to more than 34.5 million shares, well above its average daily volume of about 14 million, as investors reacted to the latest development in the stablecoin market.
Open USD introduces a different revenue model
The selloff followed the launch of Open USD (OUSD), a new stablecoin developed by Open Standard, an industry initiative led by Bridge co-founder Zach Abrams. The network is backed by more than 140 companies, including BlackRock, Google, Visa, Coinbase and other financial and technology firms seeking to build shared stablecoin infrastructure.
Unlike traditional issuer-led models, Open USD offers fee-free minting and redemption while distributing most reserve income to participating ecosystem members. Governance will also be handled by an independent partner-led organization instead of a single issuing company.
The structure directly challenges one of Circle’s core business models by allowing ecosystem participants to share reserve income that has traditionally accrued to stablecoin issuers. The design is similar to the incentive framework used by Paxos’ Global Dollar Network, which also shares reserve revenue with partners.
Open USD enters the market as stablecoins continue to expand beyond crypto trading into cross-border payments, merchant settlement and corporate treasury management. Growing institutional interest has encouraged multiple companies to launch new dollar-backed tokens with different economic models to attract banks, payment firms and fintech platforms.
Circle says competition will not slow USDC expansion
Responding to the announcement, Circle Chief Executive Officer Jeremy Allaire dismissed suggestions that the new entrant poses a significant threat to USDC, arguing that the stablecoin sector is large enough to support multiple successful issuers.
According to Allaire, Circle will continue expanding USDC’s institutional network by adding banking, payment, and capital markets partners while investing in infrastructure that improves interoperability across blockchain networks.
“USDC remains the most trusted, widely adopted, institutional-ready stablecoin in the world, and we count thousands of institutions as partners in our ecosystem across nearly every major sector.”
Allaire added that Circle plans to keep building on additional blockchain networks while integrating USDC more deeply with banks, payments companies, capital markets firms and enterprises. He also said the company intends to expand opportunities for partners to participate economically in the continued growth of the USDC ecosystem.
Although Circle maintains that its long-term strategy remains unchanged, Tuesday’s market reaction showed investors closely watching how new revenue-sharing models could influence competition in the fast-growing stablecoin industry.
With Open USD backed by some of the largest names in finance and technology, the launch introduces another well-funded rival as issuers compete for institutional adoption and payment market share.
The US Securities and Exchange Commission (SEC) has requested public comment on exchange-traded funds (ETFs) investing in novel asset classes or using new investment strategies, as the agency reviews how such products should be regulated.
The consultation seeks feedback on whether existing rules adequately address novel ETFs, how such funds should be regulated and whether changes to the registration process are needed as new products enter the market.
According to the regulatory agency, the request focuses on funds investing in innovative asset classes or employing new investment strategies, where it is evaluating whether existing regulations remain appropriate.
The public comment period will remain open for 60 days following publication in the Federal Register, giving market participants an opportunity to weigh in before the SEC considers potential regulatory changes.
Exchange-traded funds have grown rapidly in recent years, with assets under management increasing from about $4 trillion in 2019 to more than $12 trillion at the end of 2025, according to the SEC.
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The request follows another recent consultation by US market regulators. Last week, the SEC and Commodity Futures Trading Commission (CFTC) sought public feedback on harmonizing portfolio margin rules across securities and derivatives markets.
Crypto ETF strategies grow more sophisticated
In recent months, crypto ETF issuers have increasingly expanded beyond simple price-tracking products, introducing funds tied to staking, stablecoin reserves and more specialized investment strategies.
In June, ProShares introduced the GENIUS Money Market ETF, a Treasury-focused fund designed around reserve assets permitted under the GENIUS Act for payment stablecoins, while Grayscale launched the Hyperliquid Staking ETP, offering exposure to HYPE (HYPE) while seeking to generate staking rewards.
Bitcoin investment products are becoming more specialized as well. BlackRock proposed an options-based Bitcoin income ETF in January, followed by Goldman Sachs in April with a fund combining spot Bitcoin products and covered-call strategies.
BlackRock’s Bitcoin Premium Income ETF filing. Source: SEC.gov
Earlier this month, Franklin Templeton proposed two ETFs that would systematically reinvest stock dividends into Bitcoin-linked investments, combining US equities with a rules-based Bitcoin allocation. The proposed funds would gain Bitcoin (BTC) exposure through instruments including exchange-traded products, futures, options and Bitcoin-backed depositary receipts.
ETF issuers are also experimenting with portfolios that combine digital assets with traditional asset classes. In January, Bitwise launched an actively managed ETF pairing Bitcoin with gold, precious metals and mining equities.
Magazine: Bitcoin decouples from tech stocks, Ether eyes ‘selling wave’: Market Moves
Bitcoin slid toward the $58,000 area during the early Tuesday Wall Street session, extending a broader risk-off feel that has left crypto lagging behind equities into the quarter’s final stretch. With traders heading into a “quarterly close” backdrop, BTC’s weakness stood out as US stocks logged strong gains for Q2.
At the same time, macro pressures tied to a firmer US dollar and renewed attention on Japan’s currency policy risk added another layer of uncertainty for crypto traders. On-chain signals from CryptoQuant also pointed to growing sell-pressure from investors associated with prior cycle highs, reinforcing the idea that hands are being shaken as price compresses.
Key takeaways
- Bitcoin fell toward about $58,000 during the US open, with volatility picking up into the session.
- US equities reported strong Q2 momentum while BTC continued to underperform, with Q2 losses approaching the high teens.
- A multi-decade USD/JPY move toward the mid-160s raised the odds of Japanese intervention and added pressure to risk assets.
- CryptoQuant analysis highlighted exchange inflows dominated by coins last moved around cycle-high periods, consistent with capitulation among late-cycle buyers.
Volatility rises as Bitcoin struggles to hold key levels
TradingView price action captured a shift toward bearish control as the US session began. Commentators noted that with $60,000 looking increasingly fragile as support, the market’s short-term “bulls vs. bears” battle remained active—particularly on lower time frames.
Exitpump, referencing open interest and positioning changes, suggested that the market could accelerate: “Open Interest pumping… it’s about to get spicy,” according to a fresh X post. Other traders described the price action as compressed, with BTC consolidating in a relatively narrow range and marginally higher lows alongside equal highs.
That type of structure can matter because it often sets up sharp directional moves when liquidity thins. As Daan Crypto Trades argued, the next breakout could arrive quickly after the consolidation tightens further. For short-term participants, the practical takeaway is that the range itself may be less important than what happens when it finally breaks—especially with volatility increasing into the session.
Crypto diverges from stocks as Q2 performance gaps widen
Bitcoin’s slide gained context when compared with US market performance. According to The Kobeissi Letter, the S&P 500 was up about 14% for the quarter—its best showing since 2020—while the Nasdaq 100 was up roughly 25%, also described as on track for its strongest quarterly performance in about five years.
That kind of divergence matters because it challenges a simple “crypto follows stocks” narrative. Even as equities absorbed risk positively into Q2, BTC remained under pressure. For investors, this gap suggests that crypto may currently be reacting more to its own internal liquidity/positioning dynamics and macro cross-asset stress—rather than simply mirroring equity beta.
Dollar strength and yen policy risk re-enter the trade
Macro conditions added a notable headwind. The US dollar pushed to new multi-decade highs versus the Japanese yen, raising the probability of government action—an issue traders often watch closely because intervention expectations can influence carry trades and global liquidity conditions.
In the reporting cited by Cointelegraph, USD/JPY reached 162.50 on the day, the highest level since the mid-1980s. The level is important not just as a data point, but as a proxy for how quickly currency volatility can transmit into broader risk sentiment—including markets where leverage is common.
Analyst George Gammon framed it in terms of “dollar liabilities” and the need to source dollars, warning that selling assets for dollar liquidity can place downward pressure on a range of holdings—from local currency exposures to speculative assets like Bitcoin. While that’s a general macro argument rather than a direct forecast, it aligns with why currency stress can quickly change the tone for crypto traders.
On-chain data points to capitulation pressure from late-cycle buyers
Beyond price charts, CryptoQuant’s latest work warned of a renewed capitulation dynamic among Bitcoin investors associated with cycle-top entries. In a new research Quicktake published by CryptoQuant, the platform argued that exchange inflows have been rising notably at sub-$70,000 price levels.
Crypto Sunmoon, a contributor to the Quicktake, noted that the coins moving into exchanges appear to be held for roughly six to twelve months—an age band often linked with accumulation during earlier bull phases, including portions of late-cycle buying near prior highs. The core claim was that “cycle-top buyers” are now selling at a loss, with the observed exchange flow pattern matching capitulation behavior.
CryptoQuant’s framing emphasizes not only the existence of selling, but the composition of it. When exchange inflows are skewed toward coin lots that last moved around all-time-high periods, it can indicate investors who bought during the mania phase are exiting during the drawdown. The report added that these capitulation events among cycle-top investors have historically coincided with long-term bottom formation, citing patterns seen in both the 2018 and 2022 cycles.
Importantly, CryptoQuant did not claim an immediate bottom is guaranteed—capitulation can occur over multiple stages. Still, the on-chain angle provides traders and longer-term holders with a clearer map of who may be selling (and why). If the inflows represent forced or loss-driven exit rather than fresh liquidation from new entrants, the market may be closer to a “supply digestion” phase than it would be if only new buyers were being squeezed.
As of this report, the data suggests investors are beginning to reduce exposure rather than fully capitulating through a one-off event. That nuance matters: steady distribution can keep price capped, while concentrated capitulation sometimes clears the way for a more durable reversal later.
Going forward, traders will likely watch two things closely: whether BTC breaks out of its compressed range on accelerating volatility, and whether exchange inflows tied to those late-cycle coin cohorts continue to rise or begin to fade. Until either the chart structure resolves or on-chain selling pressure stabilizes, the risk of further downside volatility remains high.
SharpLink (SBET) expanded its Ethereum (ETH) treasury this week, buying 10,000 ETH to reach 886,725 ETH in total holdings. The purchase came while Fundstrat strategist Tom Lee said sentiment looked worse than after the FTX collapse.
The company paired the purchase with a stock buyback, repurchasing 2.13 million shares after raising $75 million last week. SharpLink frames both moves as a single strategy, increasing the amount of ETH backing each share.
SharpLink Buys ETH and Repurchases Stock
The Ethereum treasury company paid an average of $1,611 per 10,000 ETH, according to a company statement. That price already sits above ETH’s $1,570 level at press time, leaving the fresh tranche underwater within days.
The buy lifted holdings to 886,725 ETH as of June 28, the second-largest corporate stash after BitMine. The position is worth about $1.4 billion at Ethereum’s current price.
ETH set a record near $4,946 in August 2025, then shed roughly 69% of its value. It has dropped about 23% over the past month, well below the level at which SharpLink built most of its treasury.
The company also repurchased 2,132,773 shares at $4.69, spending close to $10 million. That $75 million came from a stock offering priced at about a 41% premium.
“We had the opportunity to buy ETH and repurchase our stock at attractive valuations, so we did both. This past week we added 10,000 ETH and repurchased 2,132,773 shares,” SharpLink CEO Joseph Chalom said in a post, tying the two decisions togethe.
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The firm had only recently resumed Ethereum purchases after an eight-month pause.
Tom Lee Says Sentiment Has Hit Post-FTX Lows
The buying contrasts with the wider mood. Lee chairs BitMine, the largest Ethereum treasury firm. It disclosed about 5.7 million ETH and $9.8 billion in crypto and cash this week, more than six times SharpLink’s holdings.
In a recent interview, Lee pointed to falling Google searches and a record-low RSI as signs of deep fear.
“The fear greed index is worse today than it was after the FTX debacle. So, usually that’s a good time to be buying something.”
Lee said Ethereum’s price is lagging its fundamentals, citing AI and tokenization as long-term tailwinds. He has also rejected Ethereum funding fears raised after staff exits at the Ethereum Foundation.
Staking income has helped Ethereum treasury firms offset paper losses through the slump. Whether SharpLink’s accumulation marks a bottom or just deeper conviction is not yet clear, but the firm keeps buying while much of the market sits on losses.
The post Ethereum Whale Tom Lee Flags Peak Market Fear as SharpLink Buys 10,000 ETH appeared first on BeInCrypto.
OKX has launched the beta version of an AI marketplace that allows autonomous agents to find work, complete tasks, receive onchain payments, and build portable reputations across transactions.
Summary
- OKX has launched the beta of OKX AI, an onchain marketplace where AI agents can find work and receive payments.
- The platform combines agent discovery, identity, escrow payments, reputation tracking, and decentralized dispute resolution.
- The launch expands OKX’s product lineup as it also advances tokenized finance initiatives and MiCA-regulated operations in Europe.
According to an announcement from OKX, the new platform, called OKX AI, combines agent discovery, identity, payments, reputation tracking, and dispute resolution into a single ecosystem designed for AI-powered services.
Rather than functioning as a simple directory, the marketplace lets software agents independently accept assignments, complete them, and settle payments onchain without relying on centralized intermediaries.
AI agents can now discover work and earn onchain
The platform consists of two connected marketplaces. In the Agent Marketplace, developers can list AI agents and define the services they provide. The Task Marketplace allows those agents to search for available work, complete assignments, and automatically receive payment once tasks are finished, according to OKX.
Payments are handled through either escrow-backed smart contracts or instant pay-per-call transactions. OKX said developers can receive compensation in either USDT or USDG, depending on the payment arrangement used.
At the same time, every completed transaction contributes to a shared onchain identity, allowing an agent’s reputation to grow across different applications instead of remaining tied to a single platform.
Disputes are handled differently from conventional freelance marketplaces. According to OKX, disagreements are reviewed by a decentralized network of evaluators rather than a centralized operator, with the outcome becoming part of the platform’s trust system.
The company also said the marketplace supports widely used AI development tools, including Claude Code and Codex. Launch partners include AWS, CertiK, the Ethereum Foundation, the Solana Foundation, StraitsX, and several other ecosystem participants.
OKX expands beyond crypto trading
The AI marketplace arrives as OKX continues adding products beyond its core exchange business.
As previously reported by crypto.news, OKX and Intercontinental Exchange have appointed former New York Governor Andrew Cuomo to co-chair a venture focused on tokenized and digitally native financial assets. The project, which remains subject to regulatory approval, is expected to connect OKX users with ICE futures products and tokenized equity markets linked to the New York Stock Exchange.
According to the companies, the initiative is intended to build blockchain infrastructure that can work alongside established financial markets rather than replace them.
The AI launch also comes shortly after OKX Europe highlighted the changing regulatory landscape in the European Union. As previously reported by crypto.news, the exchange estimated that more than 80% of crypto exchanges operating in Europe could disappear after the July 1 transition deadline under the Markets in Crypto-Assets regulation if they fail to obtain authorization.
Based on those estimates, OKX said only about 200 crypto asset service providers currently hold MiCA licenses despite between 1,100 and 1,300 firms previously operating under national regulatory frameworks. The company has also introduced a customer incentive program offering deposit bonuses of 5% to 8% for users transferring assets from exchanges that do not secure MiCA authorization.
With the addition of OKX AI, the exchange is extending its product lineup beyond digital asset trading and tokenized finance into infrastructure designed for autonomous software agents, combining identity, payments, reputation, and task execution within an onchain marketplace.
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