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Harvard endowment tilts harder into Bitcoin ETFs than Google stock

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Harvard endowment tilts harder into Bitcoin ETFs than Google stock

Harvard’s endowment has quietly made Bitcoin ETFs a top public holding, surpassing Google and joining other elite universities in rotating long‑term capital into digital assets.

Harvard University’s endowment is now leaning harder into Bitcoin (BTC) than into Silicon Valley’s most iconic search giant—and markets are taking note

Harvard’s Quiet Portfolio Pivot

“FUN FACT: Harvard University holds more in Bitcoin ETFs than it holds shares in Google,” Bitcoin Magazine posted on X on February 10, distilling a shift years in the making.

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Regulatory filings show Harvard built a roughly $116.7 million position in BlackRock’s iShares Bitcoin Trust in 2025, lifting its Bitcoin exposure above stakes in Alphabet and other big‑tech mainstays.

Subsequent disclosures indicate Harvard increased that wager, with some estimates putting its Bitcoin ETF holdings in the hundreds of millions and ranking the position among its single largest listed assets.

Commentary from the digital‑asset industry has been blunt. “Most people think Bitcoin is the gamble, but Harvard’s math clearly suggests that not owning enough of it is the bigger risk to their long‑term portfolio,” wrote SIG Labs.
Another bitcoiner framed it more simply: “Bitcoin is moving from theory to balance sheets.”

Endowments Move Into Crypto

Harvard is not alone. Brown and Emory universities have both disclosed sizable Bitcoin ETF and trust positions, running into the tens of millions of dollars in IBIT and Grayscale’s Bitcoin Mini Trust. One crypto media noted that “several prominent U.S. university endowments have disclosed investments in cryptocurrency – including Emory, Brown, and Dartmouth Universities.”

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Bitcoin, Google, and Macro Risk

Harvard’s rotation comes as digital assets again trade as a pure expression of global risk appetite. Bitcoin (BTC) is hovering around $68,400, with intraday swings pulling it below $70,000 twice in the past 24 hours as traders digest a near‑50% drawdown from its 2025 peak near $126,000.
Ethereum (ETH) changes hands near $4,760, up roughly 2.5% over the last day, while Solana (SOL) trades close to $208 after a gain of just over 5%, on volumes above $12 billion.

“This is Harvard flipping tech for BTC ETFs,” one trader wrote, calling it “wild” and a sign that “institutional adoption is officially peaking right now.”
If that proves true, Bitcoin beating Google inside the world’s richest university endowment may be remembered as more than just a memeable “fun fact.”

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XRP Crypto Holders Pull Coins Off Exchanges, On-Chain Data Signals Supply Shock

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XRP Crypto Holders Pull Coins Off Exchanges, On-Chain Data Signals Supply Shock

XRP crypto is trading at $1.32, and while the price chart looks fragile, the on-chain data underneath it is telling a different story.

Chain’s scarcity indicator for XRP on Binance has hit 0.59 – its highest reading since 2024 – as coins leave exchanges at a pace that is mechanically compressing the available sell-side pool.

The magnitude is not subtle. On March 10 alone, approximately $738 million worth of XRP was withdrawn from major platforms in a single 24-hour window, described by analysts as one of the most substantial single-day net outflows recorded year-to-date.

Source: CryptoQuant

February saw 7.03 billion XRP exit centralized exchanges entirely, with Binance accounting for roughly 3.38 billion of that volume. The supply mechanics are shifting – but the price hasn’t fully priced it in yet.

Discover: The best pre-launch token sales

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XRP Crypto Price Prediction: Can $1.40 Hold as Exchange Balances Drop?

XRP is pressing against the $1.40 resistance zone that analysts have flagged as the critical battleground. Below it, the $1.27–$1.30 band represents the next meaningful support cluster.

The RSI on the daily is hovering near 42 – not oversold, but not generating momentum signals either. The 50-day EMA sits just above spot price, capping intraday recovery attempts.

The on-chain divergence is the real tension here. Whale wallets accumulated approximately 40 million XRP in March even as US-listed XRP spot ETFs – now holding a combined $1.02 billion in assets – recorded $30.12 million in net outflows over the same period.

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CoinShares data puts global XRP fund outflows at $130 million for the month. Institutional selling and whale buying are colliding directly at $1.40.

Source: TradingView

On the chart, $1.27 is the line that really matters, because as long as price holds above it, the accumulation story stays intact, especially with whales stepping in and ETF flows starting to stabilize, which could open the door for a push through $1.40 and a move higher if momentum follows.

But right now it is more of a tug of war, with XRP likely chopping between $1.27 and $1.40 while the market figures itself out, because you have strong accumulation on one side and lingering sell pressure on the other, and neither has fully taken control yet.

If that $1.27 level breaks clean with volume, the whole setup starts to fall apart fast and opens the door for a deeper pullback, because at that point price is no longer respecting the accumulation zone, and that always takes priority over any on chain signal.

What makes this cycle different is the institutional layer, with players like Bitwise holding massive chunks of XRP through ETF products, meaning even small outflows can hit the order book hard, while Ripple keeps building out its infrastructure in the background, which is exactly the kind of long term story bigger players tend to front run.

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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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