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OpenClaw confirms Discord ban on Bitcoin and crypto discussions

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Crypto Breaking News

Open-source AI agent framework OpenClaw has drawn attention not only for its code but for governance choices. The project, created by Peter Steinberger, recently enforced a hard rule: no discussions of cryptocurrency on its primary community channels. The ban surfaced after a user on X reported being blocked from OpenClaw’s Discord for referencing a block height as a timing mechanism in a benchmark for autonomous agents. Steinberger publicly backed the moderation, saying the community operates under strict server rules, including a crypto-free policy. In a later clarification, he offered to restore the user after receiving a username via email, signaling a cautious but reversible approach to enforcement.

Key takeaways

  • OpenClaw enforces a strict no-crypto policy on its Discord server, publicly backing the ban after a user referenced a blockchain timing mechanism in a multi-agent benchmark.
  • The founder confirmed the action and later offered to reinstate the user upon receiving the account details, illustrating a degree of administrative flexibility within the rules.
  • A separate rebrand episode involved a fake token tied to the project, which briefly soared to a multi-million dollar market cap before collapsing sharply amid questions of authenticity and attribution.
  • OpenClaw’s rapid growth, including surpassing 200,000 GitHub stars, has drawn significant attention from developers and crypto practitioners alike.
  • Industry players are increasingly discussing crypto rails for AI workflows, with major moves from Circle and Coinbase signaling a broader push toward stablecoins and on-chain automation for AI agents.
  • Security researchers have flagged widespread exposure of OpenClaw instances and a wave of malicious plug-ins targeting crypto traders, underscoring ongoing risk in open-source AI ecosystems.

Tickers mentioned: $BTC

Sentiment: Neutral

Market context: The case sits at the crossroads of AI agent development and crypto infrastructure, illustrating how research tooling and digital assets increasingly intersect while questions about safety and governance remain unresolved.

Why it matters

The OpenClaw episode highlights a broader tension within the crypto-AI frontier: as autonomous agents gain traction, the communities building and using these tools must decide how crypto interacts with software governance. A no-crypto rule, such as the one OpenClaw instituted, can reflect an intent to keep research environments clean of financial incentives or external manipulation, but it may also constrain collaborations that rely on token-based incentives or payments within AI experiments.

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From a user perspective, the incident underscores two practical concerns. First, moderation policies on open-source AI projects can directly affect access and collaboration, potentially slowing innovation if critical contributors are blocked for what could be perceived as benign references. Second, the CLAWD episode—where a token tied to the project briefly surged to a multi-million-dollar market cap and then cratered—serves as a cautionary tale about token fraud risk around high-profile projects. Even when a founder denies affiliation, the rapid market realization of a token can draw unintended attention and speculation, attracting bad actors before the project can respond effectively.

For the broader crypto ecosystem, the narrative sits alongside a wave of enterprise-grade AI developments that are increasingly being paired with native crypto rails. Circle’s commentary about billions of AI agents relying on stablecoins in the near future and Coinbase’s Agentic Wallets initiative point to a future where on-chain payments, wallet management, and autonomous trading become routine for software agents. This trend could drive demand for reliable on-chain infrastructure, but it will also elevate the importance of governance, security, and clear delineation between project development and speculative token activity.

What to watch next

  • OpenClaw’s official stance on moderation and any updates to its crypto-free policy, including whether moderation rules will be clarified or revised.
  • Any new information about the CLAWD token incident, including whether other developers or communities confirm or debunk ties to OpenClaw.
  • Ongoing security research into OpenClaw deployments and the emergence of malicious plug-ins tied to crypto-trading activities.
  • Progress on crypto-enabled AI workflows, such as new implementations of AgentKit-like tooling or on-chain automation features from major platforms.

Sources & verification

  • OpenClaw Discord moderation actions and related X posts documenting the ban and subsequent reinstatement offer.
  • The GitHub repository for OpenClaw, illustrating the project’s rapid growth and community engagement.
  • Security research on the CLAWD token incident, including SlowMist’s threat intelligence analysis and linked investigations.
  • Coinbase’s coverage of AI agents and on-chain wallet capabilities through Agentic Wallets, and related developer tooling.

OpenClaw’s crypto ban underscores tensions at the AI-crypto frontier

OpenClaw’s moderation decision, explicitly banning crypto mentions on its Discord, marks a notable stance within an ecosystem that increasingly blurs the line between research code and financial instruments. The initial online clash began when a user referenced a Bitcoin block height as a timing mechanism for a multi-agent benchmark, triggering a response from Steinberger that the server’s rules do not permit crypto references. The conversation quickly escalated to a formal acknowledgment: the policy existed, discussions about it were ongoing, and access could be suspended for non-compliance. The question now is how this policy will affect collaboration with external researchers who leverage on-chain data or token-based incentives to drive experiments in autonomous agents.

The claim that the ban would be lifted for a user once a username was provided by email signals a measured approach to governance. It suggests that OpenClaw is balancing its enforcement with a path to reinstatement, rather than pursuing permanent exclusion. This approach could reflect a broader trend: as AI research communities grow, moderators may increasingly grapple with how to handle financial instruments that—while tangential to the project’s technical objectives—are integral to the broader crypto economy. The tension lies in preserving a focused, safe development environment while not stifling legitimate cross-pollination between AI experimentation and crypto-enabled incentives or payments.

The bitcoin reference also triggers a deeper look at how crypto assets influence perception of open-source AI projects. When a project emphasizes transparency and collaboration but draws a line at crypto mentions, it raises questions about the boundaries between research collaboration and financial speculation. The event did not occur in isolation. In a separate, high-profile moment in the same period, a rebranding effort associated with OpenClaw preceded the appearance of a fake token, branded to resemble the project. The token, branded as $CLAWD, quickly attracted attention and reached a reported market capitalization of around $16 million within hours before a dramatic decline—more than 90%—after Steinberger publicly distanced the project from the token’s creation. Early buyers alleged that the token was a marketing ploy or a misattribution, highlighting the persistent risk of fraud in fast-moving crypto ecosystems tied to AI tooling.

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Steinberger’s public statements at the time contained a clear warning: he would never launch a cryptocurrency, and any token claiming association with him or the project was fraudulent. Security researchers later documented widespread exposure of OpenClaw instances and a variety of malicious plug-ins aimed at crypto traders, underscoring the vulnerability of rapidly scaled, open-source AI platforms to exploitation. The experience is a reminder that, as AI agents become more capable and more deeply integrated with blockchain-enabled economics, the infrastructure around those agents must be rigorously secured, and governance policies must be transparent and enforceable.

Despite these controversies, OpenClaw has continued to grow, attracting a broad developer audience. By late January, the project had already surpassed significant milestones in community engagement, including more than 200,000 GitHub stars—a metric that signals intense interest in autonomous-agent architectures and their potential applications across finance, data processing, and decentralized marketplaces. The momentum around the project coincides with a broader industry push to integrate crypto rails with AI workflows. Circle’s public forecasts and Coinbase’s Agentic Wallets initiative illustrate that major players believe crypto-enabled automation will become a staple of the AI ecosystem, from simple payments to complex, automated trading strategies and compute settlements.

In this context, the OpenClaw episode raises important questions for builders, investors, and users. Governance rules that restrict crypto discussions may help maintain focus and reduce immediate risk, but they also necessitate careful communication to avoid misinterpretation or unintended exclusivity. As AI agents begin to touch more sectors of the real economy, the industry will likely see new forms of collaboration that respect safety standards while enabling legitimate experimentation with on-chain incentives and settlements. For developers, the key takeaway is to design governance that is as robust as the code itself—clear, auditable, and adaptable—as communities navigate the evolving terrain where autonomous agents and crypto intersect.

Bitcoin (CRYPTO: BTC) remains a touchpoint in discussions about crypto-enabled automation, and the broader trajectory of stablecoins and crypto wallets in AI workflows suggests that these technologies will coexist with varying degrees of integration and caution. The OpenClaw episode, with its bans, token episodes, and security concerns, provides a concrete case study in how quickly the AI-crypto nexus can surface governance questions, reputational risk, and the need for strong verification and safety measures as new software agents begin to operate in decentralized ecosystems.

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‘Bitcoin to Zero’ Hits Peak Search Interest in the U.S., yet a Clean Bottom Signal Remains Elusive

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(Google Trends)

TLDR:

  • U.S. searches for ‘bitcoin to zero’ hit a Google Trends score of 100 in February 2026, a record high.
  • Global searches for the same term peaked in August 2025 and have since dropped to as low as 38 by February.
  • Similar U.S. search spikes in 2021 and 2022 coincided with local Bitcoin price bottoms, but context has shifted.
  • Google Trends measures relative interest, not raw volume, making the current spike harder to compare with past cycles.

Bitcoin to zero‘ searches in the U.S. surged to a record high in February 2026, as BTC slid toward $60,000. Google Trends data showed the term scored 100 on its relative interest scale this month.

The move followed a 50%-plus drawdown from Bitcoin’s October all-time high. Global searches for the same term, however, have been falling since peaking in August.

That split between domestic and worldwide data keeps the bottom signal mixed rather than conclusive.

U.S. Searches Hit Record Highs as Domestic Fear Builds

‘Bitcoin to zero’ searches in the U.S. reached their highest recorded level in February on Google Trends. The spike coincided directly with Bitcoin’s sharp decline toward the $60,000 price level.

U.S.-specific catalysts appear to be amplifying retail anxiety more than broader global sentiment. Tariff escalation, Iran tensions, and a domestic equity risk-off rotation have all weighed on investor mood.

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Globally, the same search term peaked at a score of 100 back in August 2025. By February 2026, worldwide interest in the term had cooled to as low as 38.

(Google Trends)

That contrast between U.S. and global data points to fear that is regionally concentrated. Holders in Asia and Europe are navigating Bitcoin’s drawdown within an entirely different news environment.

Historically, similar U.S. search spikes in 2021 and 2022 aligned with local price bottoms. Traders familiar with those cycles have often treated elevated fear searches as a contrarian buy indicator.

However, the current environment differs from those earlier periods in meaningful ways. Bitcoin’s mainstream visibility and retail base have expanded considerably since then.

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The global cooling trend complicates any straightforward bottom call based on U.S. searches alone. When worldwide fear is declining while domestic fear is rising, the signal lacks international confirmation.

That does not eliminate the possibility of a local reversal, but it reduces conviction. A mixed bottom signal requires more evidence before the case becomes compelling.

Methodology and Market Context Keep the Signal Inconclusive

Google Trends measures relative interest on a scale of 0 to 100, not raw search volume. A score of 100 simply means the term reached its own peak within the selected time window.

It does not confirm that more people searched the term in absolute terms compared to 2022. Against a much larger Bitcoin user base today, that distinction carries real analytical weight.

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Bitcoin’s U.S. retail audience has grown substantially since the last major bear market cycle. A relative spike measured against a higher baseline does not carry the same weight as before.

Retail fear is clearly elevated, but elevated fear alone does not guarantee a trend reversal. Analysts recommend pairing this data with on-chain metrics before drawing firm conclusions.

The absence of a matching global fear spike keeps the contrarian case incomplete as of February. U.S. retail anxiety is real and measurable, but it remains a regional rather than a universal signal.

Prior cycles where searches and price bottoms aligned featured more synchronized global sentiment. That synchronization is currently missing from the data.

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The ‘bitcoin to zero’ search spike does confirm that U.S. retail pressure is building. Whether that pressure marks a durable floor or simply reflects localized panic remains unclear.

Market participants continue watching for additional on-chain and global sentiment confirmation. Until those signals align, the bottom call stays mixed.

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Why Bitcoin Could Hit $140,000 Soon

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Why Bitcoin Could Hit $140,000 Soon

According to former Goldman Sachs executive and macro investor Raoul Pal, the answer depends less on sentiment and more on liquidity.

Raoul Pal says signals are beginning to align in a way that historically precedes explosive upside moves.

Is Bitcoin About to Reprice To $140,000 Far Sooner Than The Market Expects?

Raoul Pal argues that Bitcoin is currently trading at a “deep discount” to global liquidity conditions. In previous cycles, similar gaps between liquidity expansion and price have not been resolved gradually. They have closed violently.

“If that gap closes,” he suggests, Bitcoin does not grind higher — it snaps into a higher range.

At the center of Pal’s thesis is a potential liquidity inflection point in Q1 2026. Several macro forces are converging at once.

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First, changes to bank regulations, particularly adjustments to the Enhanced Supplementary Leverage Ratio (ESLR). According to Pal, this may allow banks to absorb more government debt without constraining their balance sheets.

That effectively gives the US Treasury greater flexibility to monetize deficits, increasing system-wide liquidity.

Second, Treasury General Account (TGA) dynamics are in focus. Historically, when the TGA is drawn down, liquidity quickly flows back into markets. Pal believes that the process is likely to accelerate.

Layer on a weakening US dollar, often a signal of easier financial conditions, and expanding liquidity from China’s balance sheet, and the backdrop becomes more supportive for risk assets.

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According to Pal, liquidity is already improving faster than markets are pricing in. His rough estimate? If Bitcoin were to realign with prevailing liquidity conditions, the price would be closer to $140,000.

“…[based on liquidity models, Bitcoin] should be closer to $140,000 [if historical relationships hold],” he said.

Bitcoin (BTC) Price Performance. Source: TradingView

A move to $140,000 would represent a 106% increase in Bitcoin’s price from current levels.

Business Cycle Confirmation

Pal also points to forward-looking indicators tied to the business cycle, particularly the Institute for Supply Management (ISM). In his framework, financial conditions lead ISM by roughly nine months, with global liquidity following shortly after.

The data he tracks suggests ISM could strengthen meaningfully this year, signaling an improving growth environment. These data, listed below, could all contribute to rising confidence and lending activity.

  • Fiscal stimulus
  • Tax incentives for fixed asset investment
  • Capital expenditure on data centers and energy infrastructure, and
  • Potential mortgage rate relief

If growth expectations rise while liquidity expands, Bitcoin and other high-beta assets have historically outperformed.

The October 10 Overhang

Yet despite these improving conditions, Bitcoin has lagged. Pal traces that disconnect to the October 10 liquidation cascade, a structural event he believes damaged market plumbing.

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Unlike traditional equity flash crashes, crypto lacks regulatory safeguards to cancel trades. During the cascade, forced deleveraging coincided with exchange API disruptions, temporarily removing market makers and liquidity providers. Prices fell further than fundamentals justified.

Pal speculates that exchanges may have stepped in to absorb forced selling, later unwinding positions algorithmically during peak liquidity hours.

Combined with widespread call-selling strategies clustered around the $100,000 strike, often tied to yield products, the result was sustained upside suppression.

However, he believes that the overhang is now fading.

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The “Banana Zone” Setup

Pal refers to the final acceleration phase of a crypto cycle as the “Banana Zone” —a nonlinear repricing driven by liquidity, improving growth, and renewed capital inflows.

Before that phase begins, markets typically digest prior volatility and clear structural resistance levels. The $100,000 zone, he argues, is both psychological and structural. Once call-selling pressure eases and positioning remains cautious, the setup for an upside shock strengthens.

Liquidity, in Pal’s view, leads price. By the time consensus turns bullish, the move may already be underway.

If global refinancing pressures force further liquidity injections into the system, Bitcoin, which he describes as a “global liquidity sponge,” could respond quickly.

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And if the gap between liquidity and price closes, $140,000 may not be a stretch target. It may simply be where the market was always headed.

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Bitcoin May Rebound to $85K as CME ‘Smart Money’ Slashes Short Bets

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Bitcoin May Rebound to $85K as CME 'Smart Money' Slashes Short Bets

Bitcoin (BTC) bottomed after CME futures speculators turned net bullish in April 2025. A similar positioning shift is resurfacing in 2026, raising the odds of a BTC price recovery in the coming weeks.

Key takeaways:

BTC futures, technicals hint at $85,000 price target

Non-commercial Bitcoin futures traders cut their net position to about -1,600 contracts from roughly +1,000 a month earlier, according to the CFTC Commitment of Traders (COT) report published last week.

Bitcoin futures net short position. Source: CFTC Commitment of Traders (COT)

In practice, this means that large speculators, including hedge funds and similar financial institutions, have shifted from net short to long, with bulls outnumbering bears on the CME.

The rapid net-short unwind implies that “smart money” added longs “with some urgency,” said analyst Tom McClellan, while pointing to two similar past swings that preceded Bitcoin price bottoms.

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For instance, BTC’s price gained around 70% after a sharp dip in CME Bitcoin futures net shorts in April 2025. In 2023, BTC price rose by over 190% under similar futures market conditions.

BTC/USD weekly price chart. Source: TradingView

As of February, the smart money swing is flashing once again, just as Bitcoin defends its 200-week exponential moving average (200-week EMA, the blue line), which has acted as a bear-market floor in most major drawdowns of the last decade.

On Sunday, BTC’s 200-week EMA was hovering around near $68,350.

BTC/USD weekly price chart. Source: TradingView

The last time Bitcoin traded around this moving average during deep sell-offs (in 2015, 2018 and 2020), it eventually marked the end of the downtrend and the start of a new recovery phase.

Related: Bitcoin historical price metric sees $122K ‘average return’ over 10 months

Bitcoin’s weekly relative strength index (RSI) remains in oversold territory, a sign that selling pressure is nearing exhaustion.

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That further raises Bitcoin’s odds of recovering in the coming weeks. A decisive rebound from the 200-week EMA could trigger a run-up toward the 100-week EMA (the purple wave) at roughly $85,000 by April.

Bitcoin bulls aren’t out of the woods yet

McClellan cautioned that the smart money shift is “a condition, not a signal,” meaning Bitcoin could still slide from its current price levels before a durable low forms.

That may trigger the 2022 scenario, wherein BTC plunged by over 40% after breaking below its 200-week EMA despite similar oversold conditions.

BTC/USD weekly price chart. Source: TradingView

A repeat of that 40% plunge in 2026 could result in BTC prices falling toward $40,000, or 60% from its record high of around $126,270.

Some analysts, including Kaiko, also see BTC potentially bottoming around $40,000–$50,000 based on its “four-year cycle” framework.

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