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Is This Crypto Winter Different? Experts Reevaluate Bitcoin

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Crypto Breaking News

Bitcoin’s latest price action underscores a paradox at the heart of institutional crypto interest: capital is increasingly present, yet money managers remain wary of labeling BTC as a risk-off hedge. After topping near $120,000 in October, the asset has retraced more than 25% in the past month, prompting observers to parse whether the pullback signals a maturation of the market or a cooling in risk appetite among investors. The debate touches on four-year cycle dynamics, regulatory clarity, and how Wall Street–level players are recalibrating their exposure as policy conversations unfold.

Key takeaways

  • Bitcoin has shed more than 25% in the month, testing critical levels as institutional risk appetite shifts and cycle dynamics influence pricing.
  • The CLARITY Act, a centerpiece of US crypto regulation, remains stalled in the Senate, with banks and exchanges contending over stablecoin provisions that could reshape exchange economics.
  • Grayscale argues that near-term BTC moves resemble growth equities with high enterprise value rather than traditional gold, signaling a non-traditional risk profile for the asset.
  • High-level talks on crypto market structure legislation continue, including a White House engagement between crypto executives and bankers, signaling bipartisan momentum toward clarity.
  • Kaiko Research flags a potential $60,000 level as a halfway point in the bear market, stressing that on-chain metrics will determine whether the four-year cycle framework holds.
  • Regulatory clarity and the GENIUS Act are viewed as structural catalysts that could unlock new use cases for stablecoins and tokenized assets, potentially guiding long-term value for networks.

Tickers mentioned: $BTC, $COIN

Sentiment: Neutral

Price impact: Negative. Bitcoin fell more than 25% this month as institutions reevaluated risk positions and macro conditions remained uncertain.

Market context: The price pullback comes as the broader crypto environment weighs liquidity, risk appetite, and a regulatory landscape in flux, with policymakers debating how to modernize oversight of digital assets and market infrastructure.

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Market context

The recent price action sits at the intersection between growing institutional involvement and ongoing regulatory ambiguity. While well-capitalized firms have shown continued interest in crypto products, their willingness to treat BTC as a risk-on asset remains contested. The conversation around regulatory clarity—particularly for market structure and stablecoins—has increasingly become the central driver of flows and product strategy, influencing whether institutions deepen exposure or recalibrate to avoid regulatory risk.

Why it matters

From a market efficiency perspective, the episode tests whether institutions can comfortably price BTC within a regulated framework that reduces tail risk while preserving participation. Grayscale has argued that BTC’s short-term moves align more with growth-oriented software equities than with precious metals, which could broaden the interpretation of what drives crypto prices beyond the traditional store-of-value narrative. The insistence on regulatory clarity suggests a path toward broader use cases—such as tokenized assets and stablecoins—that could, over time, add depth to liquidity and utility in the sector.

On the policy front, the CLARITY Act represents a sweeping redesign of crypto oversight, including DeFi, exchanges, and capital markets rules. The bill’s stalled status in the Senate has frustrated industry participants who argue that delay erodes confidence and slows strategic planning. Coinbase (EXCHANGE: COIN) and other major players have been key voices in the debate, reflecting how regulatory outcomes will shape product structuring, risk management, and partnerships going forward. The GENIUS Act, which passed in July 2025, is cited as part of a broader push toward a clearer regulatory framework, suggesting that lawmakers recognize the structural benefits of clearer rules for innovation and investor protection.

Analysts continue to weigh whether Bitcoin’s bear market can extend toward new price anchors or whether a structural shift in sentiment—driven by policy progress and institutional onboarding—will eventually rekindle momentum. Some observers point to a potential bottom in the high tens of thousands before a longer-term recovery, while others emphasize that the outcome will hinge on regulatory breakthroughs and the resilience of on-chain networks amid macro headwinds.

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“I think there was a lot of sell-off just because firms that got into it from mainstream finance had to adjust their risk positions.”

“Retail people don’t get into crypto because they want to make 11% annualized … They get in because they want to make 30 to one, eight to one, 10 to one.”

Beyond the price action, the market is watching how geopolitical and regulatory signals converge. White House discussions between crypto executives and bankers—part of ongoing talks to resolve roadblocks to market structure reform—could influence the speed and direction of institutional flows. In the meantime, industry researchers note that on-chain metrics and cross-asset correlations will continue to shape the narrative around whether the four-year cycle remains intact or yields a different pattern for BTC and related assets.

In short, the bear market debate is less about a single catalyst and more about a convergence of cycles, policy, and evolving institutional incentives. As participants await clearer rules, the market will likely experience continued volatility, punctuated by moments when policy events or macro shifts trigger sharp repricings. The coming months could be decisive for whether BTC cement its role as a core allocation for institutions or whether it remains a higher-risk, higher-reward bet that requires more robust regulatory scaffolding before a broader class of investors can comfortably participate.

What to watch next

  • Regulatory progress on the CLARITY Act and GENIUS Act, including any scheduled committee votes or floor actions.
  • Outcomes of the White House meetings with crypto and banking representatives, and any policy signals that emerge from those discussions.
  • Key price levels for BTC, with attention to whether the $60,000 region acts as a support or acts as a magnet for further downside.
  • New on-chain metrics and cross-asset analyses that could confirm or challenge the four-year cycle framework.
  • Regulatory clarity that could unlock additional use cases for stablecoins and tokenized assets, influencing the structure and liquidity of crypto markets.

Sources & verification

  • Grayscale, Market Commentary: Bitcoin trading more like growth than gold.
  • Federal Reserve Governor Chris Waller’s remarks at a monetary policy conference on crypto hype and risk positions.
  • Mike Novogratz’s CNBC interview on institutional risk tolerance in crypto markets.
  • Kaiko Research notes on critical support levels and cycle analysis.
  • White House discussions involving crypto executives and bankers on market structure reform.

Bitcoin’s price slump tests institutional adoption and regulatory clarity

Bitcoin (CRYPTO: BTC) has moved under a cloud of regulatory uncertainty and shifting institutional appetite. After rallying to above $120,000 in October, the flagship crypto has retraced more than 25% in the past month, prompting observers to parse whether the pullback signals a maturation of the market or a cooling in risk appetite among investors. The pullback sits at the center of a broader debate about whether BTC is a risk-on asset or if a regulatory environment that supports product innovation and investor protection can coexist with a robust institutional footprint.

Price dynamics through this period suggest a mix of cyclical drivers and risk management by large players who entered crypto markets during a period of high enthusiasm. Some market participants attribute the sell-off to the four-year cycle framework commonly cited in crypto analysis, while others see a more general tightening of risk appetite among institutions that had pursued crypto exposure as part of a broader portfolio diversification strategy. The trajectory has been punctuated by sharp moves, with BTC slipping from its October highs and trading in lower ranges that have drawn comparisons to growth equities rather than to the classic safe-haven narrative associated with gold.

Within policy circles, the debate over appropriate regulation remains intense. The CLARITY Act would overhaul US crypto regulation, touching on areas from DeFi oversight to market infrastructure. The bill has stalled in the Senate as Coinbase (EXCHANGE: COIN) and the banking lobby clash over stablecoin provisions that could affect exchange economics and systemic risk. The absence of timely clarity has been cited by policymakers and industry participants as a key factor delaying broader institutional participation and product development. In parallel, the GENIUS Act, which had cleared its path in 2025, is viewed as part of a broader push toward a framework that could enable more predictable and scalable crypto markets.

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Prominent voices in the industry have offered mixed perspectives. Fed governor Waller framed the current crypto environment as reflecting a fading wave of euphoria rather than a lasting structural shift toward digital gold. His comments at a recent monetary policy conference underscored the idea that institutions are still recalibrating risk positions as the macro backdrop evolves. In a separate interview, Galaxy Digital’s Mike Novogratz highlighted how institutions approach crypto with a different risk tolerance than retail investors, a distinction that can influence price action and liquidity dynamics. “Retail people don’t get into crypto because they want to make 11% annualized … They get in because they want to make 30 to one, eight to one, 10 to one,” he observed, pointing to the motivational differences that help explain long-term price trajectories beyond traditional hedges.

Meanwhile, market structure researchers at Grayscale have emphasized a broader context for BTC’s recent moves. They noted that short-term price action has shown correlations with software equities and tech-driven growth narratives rather than with gold or other conventional safe-haven assets. This view aligns with a broader market trend where digital assets are increasingly treated as high-growth tech exposures with unique risk characteristics rather than as proxies for traditional stores of value.

Looking ahead, the market will hinge on regulatory clarity and the pace at which policymakers can deliver predictable rules. The current discussions—including high-level talks that culminated in a White House meeting involving crypto and banking leaders—signal bipartisan momentum for market-structure reforms. If lawmakers can translate sentiment into concrete legislation, the door could open for a broader institutional onboarding, greater product innovation, and more defined risk management practices that could, over time, shape BTC’s role in diversified portfolios.

Risk & affiliate notice: Crypto assets are volatile and capital is at risk. This article may contain affiliate links. Read full disclosure

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Pearl, prediction markets and the long tail of AI liquidity

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Pearl is Olas’s consumer gateway to a future where narrow AI agents quietly trade, curate and create prediction markets at a scale humans will never touch, says co‑founder David Minarsch.

Summary

  • Olas co‑founder David Minarsch traces Pearl back to early agent work at Fetch.ai and Valory, then pivots from B2B DAO tools to a consumer app for owning AI agents.
  • Pearl backs tightly scoped, long‑running agents like Polystrat, which filters Polymarket markets, applies prediction tools and has at times outperformed human traders by 2–3x.
  • Minarsch sees prediction markets as economic training grounds for AI, with agents already a large share of activity and the long tail of markets increasingly served by machines, under real regulation.

David Minarsch sat down with crypto.news on March 31 on the sidelines of ETHCC to explain why Pearl’s narrow, long‑running AI agents are remaking prediction markets from the inside out.

From Fetch.ai to Pearl

Minarsch’s route into autonomous agents is textbook crypto‑AI convergence. “I got drawn into the space by my background in economics and game theory,” he told crypto.news, recalling his move into crypto after several years working on machine learning applications.

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At Fetch.ai, where he spent two years, his team built one of the first agent frameworks in crypto, anchored on a simple but loaded idea: wallets controlled by machines, not humans.

“We actually wrote a detailed paper on this, which was way ahead of its time,” he adds. In 2021, he spun those lessons out into Valory, the core lab behind Olas, which has since experimented with a range of applications and go‑to‑market strategies.

The first bet was B2B: autonomous agents sold to DAOs such as CowSwap, Balancer and Ceramic. “That went okay but never sort of really took off,” Minarsch concedes. The real pivot came in 2023, when “general purpose usable large language models like ChatGPT” landed and Olas “switched more to B2C.” Pearl is the result: “a B2C application which has different agents in it,” built for users, not governance forums.

By the time Pearl launched in February 2025, the rest of the industry had caught up to Olas’s early agent thesis. “The crypto space and the AI space had moved towards agents, now everyone is building agents or using agents or both,” Minarsch says. But he argues most people’s idea of an agent is still shaped by chat interfaces like ChatGPT: “a co‑pilot synchronous experience” where you prompt and it replies, in front of you, in real time.

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Olas is explicitly betting against that dominant pattern. “When you have long long‑running agents with like autonomy but tightly scoped so they can’t just do anything but they can do interesting things within a certain scope. That’s where it becomes very interesting,” he says. Pearl is designed around those tightly scoped, background processes rather than generalist assistants, Minarsch points out.

“With Pearl we intentionally go very narrow in terms of the capabilities of an agent,” he explains. He points to new tools like OpenClaw—as both validation and warning. “OpenClaw validated a lot of our core assumptions that people do want llocal first experiences with AI agents,” he says, but “the product can do too much, which causes a bunch of problems, including secruity, but also just a problem for the user.”

In his view, that kind of system is built for tinkerers “who just sort of want to mold this thing into something that’s useful to them.” The “low friction user” wants to “just press a button” and get a consistent result. “I have one and I asked it to send me daily report and half the time it’s broken,” he says of OpenClaw. “That’s not a good product experience.” Pearl’s agents, by contrast, are designed to do one thing—trading, yield seeking, market creation—reliably. Limited scope, high definition, low problem latency.

Polystrat is the cleanest demonstration of that philosophy. Polystrat is an example because here’s just the idea: provide some capital, have it trade in prediction markets,” Minarsch says. Instead of facing Polymarket’s UX—wallet setup, funding, market selection, position sizing—the user delegates funds to Polystrat and lets the agent do the work.

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“Polystrat is just like a user of Polymarket,” he stresses. “If you want to use Polymarket you as a human need to set up a wallet, fund it and then you’re faced with the decision of what market to trade in. Polystrat abstracts all this and the idea is for it to simply trade on your behalf.” The agent focuses on geopolitical and political news markets, “not so short‑lived” and generally closing “within the next four to five days.”

Technically, the flow is simple but ruthless. The agent filters markets using rules like liquidity and time to close, then applies “prediction tools,” which Minarsch describes as “workflows that sit on top of models and data sources.” “There’s many different prediction tools and the agent learns over time which ones to take and which ones not to take,” depending on the market. A local pricing and sizing engine converts those predictions into positions and the system trades autonomously on your behalf.

Performance wise, Polystrat ranges between 56 and 69% accuracy, Minarsch says. As a fleet, “our agents… have performed two to three times as well as human traders,” although they are “not yet at a fleet‑wide break even.” Individual Polystrat instances, however, can deliver “up to 100% ROI overall and like several 100% ROI per individual trade.” The goal is not anecdotes but a statistical edge: “to have a Polystrat fleet on average a positive ROI.”

Trading is only half the story. As more agents enter Polymarket and its predecessors, Minarsch sees prediction markets becoming “early prototypes for these market‑driven AI systems… environments that encode truth discovery at an economic scale.”

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He doesn’t pretend the rails are clean. On controversial questions—or markets with contested outcomes—information lags and disputed outcomes are common. Polystrat nor other agents on Pearl attempt to solve that. “Polystrat itself is just a trading agent on top of Polymarket,” it’s neither consensus building nor a truth serum.

But AI is already reshaping participation, creation and policing. “It’s unclear exactly how many traders in prediction markets are already AI agents but it’s probably more than 30%,” Minarsch believes. “Potentially already more than half,” he adds. As such, humans have limited attention, so “the whole long tail of prediction markets will basically be served to AI agents,” he predicts.

Crucially, Minarsch breaks from crypto libertarianism on governance. “We take the view that there should be regulation of prediction markets,” he says flatly, citing markets that “effectively look like assassination markets” or “incentivizing bad behaviors.” With “a certain degree of regulation or self‑regulation,” more markets and more AI participants should “drive prices to equilibrium” and “improve the information embedded in the markets,” opening the door to derivatives, hedging and other instruments built on top.

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Asked whether Olas agents could become “data liquidity providers operating autonomously across multiple networks,” Minarsch shrugs off the distinction. “Liquidity provision is effectively also trading strategy,” he says.

In that framing, Pearl is less a single app and more an operating system for narrow, long‑running agents: Polystrat for prediction markets, Optimus for yield, Omenstrat for market creation and whatever comes next for liquidity across venues. The consistent design choice is scope: each agent does one thing, over long horizons, with as little human intervention as possible.

“We were just very early to something that a lot of people are now doing,” Minarsch says of the agent wave. The difference now is that Pearl is pushing those agents into retail‑facing products, turning prediction markets into both a playground and a proving ground for AI‑driven liquidity and truth discovery.

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SpaceX Reportedly Files IPO at Potential $1.75T Valuation

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Stocks, Space, Tesla, IPO, Elon Musk, OpenAI

Elon Musk’s aerospace company SpaceX has reportedly filed confidentially for an initial public offering, moving it closer to what could be the biggest public listing in US history.

SpaceX submitted its IPO confidentially to the US Securities and Exchange Commission, according to a report from Bloomberg on Wednesday, citing people familiar with the matter. The IPO could be finalized as early as June, the sources said.

SpaceX could seek a valuation exceeding $1.75 trillion in the IPO, sources told Bloomberg in February. A valuation of that size would make the aerospace company more valuable than Meta (META), Tesla (TSLA) and Bitcoin (BTC).

SpaceX could also raise up to $75 billion from the IPO, a size that would more than double Saudi Aramco’s record $29 billion debut in 2019.

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Stocks, Space, Tesla, IPO, Elon Musk, OpenAI
Source: SpaceX

SpaceX’s potential IPO follows its acquisition of Musk’s AI startup xAI in early February, putting the company in an AI race against OpenAI, Anthropic and other private AI startups.

OpenAI, the creator of ChatGPT, closed its last funding round with $122 billion in committed capital on Tuesday, bumping its valuation to $852 billion.

IPO investors to be briefed on more details this month

SpaceX reportedly told prospective IPO investors to expect briefings from company executives later this month, Bloomberg noted.

SpaceX is weighing a dual-class share structure that would give insiders, including Musk, greater voting control. 

The IPO is expected to allocate up to 30% of shares for individual investors.

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Wall Street firms Bank of America, Goldman Sachs, JPMorgan Chase, Morgan Stanley and Citigroup are expected to be involved in SpaceX’s transition to a public company.

SpaceX also continues to hold 8,285 Bitcoin worth more than $565 million on its balance sheet. 

However, the company shifted its Bitcoin to a new wallet address in October, prompting speculation over whether it intends to hold the cryptocurrency in the long term.

Related: OpenAI kills off AI video app Sora after 6 months

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Trading platforms such as Robinhood and Kraken have been seeking to offer tokenized shares in high-profile private companies like SpaceX, OpenAI and others on the blockchain, giving retail investors a way to invest in nonpublic companies. 

Robinhood CEO Vladimir Tenev said in February 2025 that investors have had limited access to these private tech firms, but that blockchain tokenization could help broaden participation.

However, OpenAI is expected to file for an IPO in 2026, and Anthropic is also exploring a public listing, which would make their shares available for trading on regular stock exchanges. 

Magazine: IronClaw rivals OpenClaw, Olas launches bots for Polymarket — AI Eye

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