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The more we watch crypto, the more it feels like the news comes last

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The more we watch crypto, the more it feels like the news comes last - 2

Disclosure: The views and opinions expressed here belong solely to the author and do not represent the views and opinions of crypto.news’ editorial.

We began our new Outset Data Pulse analysis expecting 12 years of headline data to confirm a familiar belief in crypto: that news moves markets, and that faster headlines give you an edge.

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But what the findings showed instead was more unsettling: most of the time, price seems to move first, and the headline comes later to explain it.

That’s not to say that “news doesn’t matter.” It’s closer to saying we’ve been treating it as the trigger when it often behaves more like the explanation after the move. And it’s easy to see why that belief survived for so long. 

Anyone who spends enough time around crypto starts to notice the same thing: something moves, the news feed lights up, and then the dots get connected. When Bitcoin dumps or soars, coverage multiplies. When a major decision hits, whether it’s an ETF approval, an exchange collapse, or a legal victory, headlines also explode.

But the part of that belief which really matters – the part that turns news into a tradable edge – is directional. If headlines genuinely cause price movement, then reading faster makes you earlier. If price movement causes headlines, then reading faster mostly just makes you better informed about what already happened. 

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That was the real question here: not whether news exists in the sequence, but whether it consistently comes early enough to matter in the way traders often assume.

The part where the data got harder to argue with

The core dataset powering this Outset Data Pulse report includes 63,926 CoinDesk headlines spanning January 1, 2014 through December 30, 2025, matched to daily Bitcoin closing prices from the TradingView composite index. 

That gave us 4,381 days where both a closing price and a headline count were available – enough to test the relationship from several angles, including causality, price behavior around major news spikes, headline sentiment, and topic clustering on the busiest coverage days.

It is also broad enough to cover nearly every “surely news mattered there” event worth testing, including bull and bear cycles, the FTX implosion, the COVID crash, and the start of the spot Bitcoin ETF era.

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News volume didn’t forecast price

One of the first things we looked at was whether yesterday’s information helps forecast today’s movement.

We inspected five time horizons, from one day out through five days out. What kept standing out was that the news did not predict Bitcoin’s price across those lags.

Then there’s the kind of number you can’t really argue with because it’s too small to appear important: the correlation between daily changes in article volume and daily Bitcoin returns was 0.019, which means only 0.04% of daily price action was explained. For practical purposes, this is effectively zero.

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The longer-term picture points in the same direction. Year by year, article volume and Bitcoin volatility moved on very different rhythms, with no stable relationship between heavier coverage and more explosive price behavior.

The more we watch crypto, the more it feels like the news comes last - 2
Image Source: Outset Data Pulse

That doesn’t mean news and volatility never overlap. They obviously do. But over time, the relationship stays too loose and inconsistent to treat headline volume as a dependable signal on its own.

Price started showing up before the coverage

We also looked in the reverse direction: whether price moves tended to show up before headline volume did, and the most interesting pattern appeared around a two-day lag.

But the part that felt closest to actual market experience was looking at the 50 biggest news days and tracking Bitcoin’s price three days before and three days after each spike.

What stood out was the shape of the move. In the three days before a major coverage spike, Bitcoin’s price was already elevated, around 1% above the event-day baseline. Then after the spike, price drifted down by roughly 0.8% by day three.

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That is not a “news moves markets” narrative. It’s a “markets move, then news catches up” story. And once you see that shape, you start noticing how many famous crypto moments feel like they rhyme with it.

Even the biggest headlines didn’t behave like clean signals

These are the kinds of moments we all remember because they felt like turning points for crypto. For example, the U.S. Securities and Exchange Commission approved the spot Bitcoin ETF on January 11, 2024. CoinDesk published 51 articles that day while Bitcoin dropped 7.67% the next day and was down 10% by day three.

Compare that with December 4, 2023, when speculation was running hot but nothing had been confirmed. CoinDesk published 81 articles, and Bitcoin rose 5% the next day. 

The same inconsistency showed up elsewhere: after the FTX collapse produced the busiest news day in the dataset, Bitcoin barely moved, while the January 2017 break back above $1,000 was followed by an 11% drop the next day and nearly 20% within three.

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Across the ten biggest news events in the dataset, price reactions never settled into a usable pattern – some produced strong gains, others sharp losses, and many no clear follow-through at all.

That inconsistency matters because it’s what breaks the tradability story. If “news moves markets” were a stable indicator at the daily level, the largest news spikes would be where you’d expect the relationship to show up most clearly, certainly not where it dissolves into randomness.

We tried sentiment too

At that point, the obvious pushback is that volume is noisy, but sentiment might still hold the edge. Surely, bullish vs bearish headlines should matter, right?

So every headline was run through FinBERT, a financial-language sentiment model. It labeled each headline as positive, negative, or neutral. It also averaged sentiment across each day.

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The dataset’s distribution was nearly perfectly balanced, with 58% neutral, 21% positive, and 21% negative. The part that matters for trading is the next step: did daily headline tone correlate with daily returns?

The reported correlation was 0.07, with sentiment explaining about 0.5% of price movement. Again, this is close to nothing for anyone trying to systemically time entries. Worse (or maybe more revealing), the relationship wasn’t stable. In rolling three-month windows, the correlation flipped between positive and negative with no consistent pattern.

The more we watch crypto, the more it feels like the news comes last - 3
Image source: Outset Data Pulse

There’s also something that feels obvious once you say it out loud: headline sentiment can end up ‘grading’ language that is already racing to price. A headline like “Bitcoin falls below $70,000” gets a negative score, but the fall is already in the same day’s price data.

So we’re back in the same place: the headline is describing the move, not front-running it.

The reframing that made everything make sense

None of what we have seen so far lands in the “ignore news” category. That’s not true, and it’s not useful.

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The more hopeful shift is this: by the time a headline hits a major publication, the information has often already moved through faster channels. This includes order flow, on-chain data, social layers, insider networks, and other forms of positioning and interpretation that don’t wait for editorial cycles.

That’s the line that changes how we read the market. The media isn’t where the signal starts. It’s where the signal becomes legible. Headlines are pretty much the “last mile,” representing the moment when a move that has already begun gets named, packaged, debated, and turned into a story people can repeat.

What this changes

Reading faster doesn’t necessarily make you earlier. The market absorbs information before the newsroom has even agreed on the framing. Headlines are often better at telling us what just happened than what happens next. That’s not an insult to journalism. It’s a statement about timing.

And using media as a timing tool can put you behind the market, because the thing you’re reacting to may already be reflected in flows and positioning by the time you are ready to move.

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Even the report puts it plainly: headlines are not a clean signal feed. On peak-coverage days, about 61% of headlines fell into broad industry noise – partnerships, fundraising, product launches, stablecoin developments, NFT and gaming updates – with no obvious link to Bitcoin’s next move. Even regulation, the strongest plausible category, still failed to produce a reliable signal at the daily level.

One of the stranger findings was that even Bitcoin halving did not emerge as a distinct cluster on extreme-news days, suggesting that some of Bitcoin’s most important forces do not operate through the daily headline cycle at all.

Where we have to be honest about the exceptions

News could matter at much shorter timeframes, specifically minutes rather than days. A breaking headline can still move the market in the moment, even if that effect gets muted once you zoom out to daily closing prices.

At the same time, longer and slower narrative shifts, the kind that build over weeks, may still influence price in ways this approach can’t fully capture.

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There are limits to this too: one publication, even a highly trusted one, does not represent the whole information universe. Crypto’s fastest information often travels through social platforms and private channels that this dataset can’t track. Also, some patterns may only show up in specific conditions, not in the cleaner daily relationships these tests can pick up.

So we’re not left with a simple “news is useless” mantra. Rather, we’re left with something more actionable: most of the time, the headline is the market becoming explainable, not the market beginning to move.

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Crypto World

Kalshi Partners with ARK Invest to Meet Rising Institutional Demand for Prediction Markets

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Brian Armstrong's Bold Prediction: AI Agents Will Soon Dominate Global Financial

TLDR:

  • Kalshi launches a formal market request pipeline to meet growing institutional investor demand.
  • ARK Invest partners with Kalshi to list prediction markets aligned with its investment research.
  • Live markets on Kalshi now cover non-farm payrolls, deficit-to-GDP ratios, and business KPIs.
  • Crowd-sourced prediction markets are becoming alternative data signals for major financial institutions.

Prediction markets are gaining traction among institutional investors, and Kalshi is now at the center of this shift. The platform has partnered with ARK Invest to list markets used in investment research and analysis.

Tarek Mansour, co-founder and CEO of Kalshi, confirmed the collaboration publicly. Several markets are already live, covering non-farm payrolls, deficit-to-GDP ratios, and business KPIs. The move reflects growing institutional appetite for crowd-sourced financial signals.

Kalshi’s Formal Pipeline Now Serves Institutional Demand

Kalshi has been witnessing a steady rise in institutional interest in prediction markets. To address this, the platform developed a formal market request pipeline for institutional partners.

This pipeline allows institutions to work directly with Kalshi to list relevant markets. The structure gives major investors a standardized way to access crowd-sourced economic data.

The partnership with ARK Invest is one of the earliest collaborations built through this pipeline. ARK Invest, known for its research-driven approach to disruptive innovation, is using Kalshi to support its analysis process.

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Through the pipeline, ARK can request specific markets aligned with its investment focus. This creates a direct link between institutional research needs and market creation on the platform.

Mansour took to X to confirm the partnership and outline its scope. He wrote: “As institutional adoption of prediction markets grows, Kalshi is seeing increased demand for a formal market request pipeline to help investors leverage the wisdom of the crowd.” He added that ARK Invest is actively working through the pipeline to list markets used in analysis.

The collaboration also points to a wider pattern among financial institutions. More investors are turning to prediction markets as alternative data sources for decision-making.

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These markets aggregate collective public intelligence around key economic events. Kalshi is positioning itself to serve that growing need at an institutional level.

Live Markets on Kalshi Already Supporting ARK’s Research Process

Several markets created through the ARK partnership are already active on Kalshi. Non-farm payroll markets are among the live options available to investors today.

Deficit-to-GDP ratio markets and business KPI markets are also accessible through the platform. These give institutions a real-time, crowd-sourced view of major economic indicators.

Non-farm payroll data is one of the most closely watched monthly economic figures. A prediction market around it lets institutions gauge crowd expectations before official government releases.

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This forward-looking signal can help firms calibrate their strategies more accurately. ARK Invest is actively incorporating this data into its research process.

Deficit-to-GDP ratio markets offer macroeconomic visibility that traditional data providers rarely surface. Tracking this ratio helps investors assess long-term fiscal sustainability trends.

A crowd-sourced market around it gives institutions an independent read on public sentiment. That kind of alternative signal is increasingly valued in institutional investment circles.

Mansour closed his post by noting “more to come,” suggesting additional markets are being planned. Kalshi appears set to grow the pipeline and bring more institutional partners on board.

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The platform’s ability to convert research needs into live markets sets it apart. As institutional adoption of prediction markets continues to grow, Kalshi’s pipeline model may become a standard tool for major investors.

 

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Blockchain Philanthropy Fails Africa’s Real-World Test

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Blockchain Philanthropy Fails Africa’s Real-World Test

Opinion by: Samuel Owusu-Boadi, founder of WellsForAll

Over the past decade, crypto philanthropy has exploded. From a niche experiment to a transformative force channeling billions into global causes, crypto philanthropy’s moment has arrived.

According to data from The Giving Block, crypto donations exceeded $1 billion in 2024, proving that blockchain-based giving is now a legitimate, more transparent (in theory) and efficient alternative to traditional charity fundraising. While these figures show momentum, scale alone does not equate to success, especially in philanthropic projects across Africa.

Across the African continent, many crypto philanthropy initiatives are designed as moments — token launches, non-fungible token drops and campaigns designed to generate attention, capital and optimism in short bursts. These hype cycles rarely account for what happens after the launch window closes. No long-term systems are built to facilitate continued investment and oversight.

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Why is this an issue? Public good projects cannot function on hype cycles. They require assets that endure for decades, with maintenance schedules, governance structures and local accountability.

There is no shortage of donation campaigns for philanthropic projects in Africa. What is lacking is long-lasting infrastructure. When philanthropy is structured around visibility rather than durability, the result is predictable: short-term relief followed by quiet failure.

The transparency illusion

Crypto philanthropy evangelists often point to blockchain’s transparency as a solution to these shortcomings. Onchain records can show where funds move, when they move and who authorized them. As valuable as this type of insight is, it is also incomplete.

Transparent records alone solve little without tangible truth on the ground. A transaction hash cannot confirm that infrastructure remains functional, that communities continue to benefit or that maintenance funding still exists. Blockchain systems can record intent, but they cannot verify tangible outcomes in the projects that crypto philanthropy seeks to enable. Academic research has highlighted that while blockchain may improve traceability, it does not automatically guarantee accountability or effect without additional systems that sit beside or within it to link the two.

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Without on-the-ground presence and continuous oversight, onchain transparency risks becoming nothing more than performative in its credibility. Accountability must exist where the physical infrastructure exists, which means establishing frameworks outside of the distributed ledger that can track and measure tangible outputs. If effect is only measured at the transaction level, the most important question in any philanthropy project goes unanswered: Did lives meaningfully improve?

Ignoring local ownership makes failure inevitable

This gap between digital transparency and physical reality becomes more frustrating when projects are designed without the input from the communities they aim to serve. Many crypto philanthropy initiatives are conceived and executed by teams that have never visited the regions affected by their decisions.

Without local leadership overseeing these projects, responsibility evaporates once funding slows. Infrastructure that lacks community ownership will deteriorate quickly. Without clearly defined custodianship and locally managed maintenance resources, even well-funded projects deteriorate once initial enthusiasm fades.

At times, crypto-backed charitable initiatives in Africa treat local ownership as a cultural nicety, or an afterthought, rather than the heart and soul of the project. Communities must co-manage and protect assets if those assets are expected to survive. Projects that treat beneficiaries as end users rather than stewards inevitably collapse.

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Charity tokens create dependency instead of dignity

Considering these observations, it becomes quite clear that most charity tokens and crypto fundraising models are designed to deliver temporary relief. They perform well at mobilizing attention and capital quickly but struggle to support systems that operate year after year.

Shifting the aim toward structural infrastructure enables philanthropic projects to function as a type of economic infrastructure, where longevity and sustainability are properly accounted for, and not merely as a charitable intervention. When clean water systems, schools or clinics remain operational over long periods, they reduce dependency rather than reinforce it.

Related: Ripple commits $25M to US school nonprofits

Dignity emerges not from receiving aid, but from creating systems from that aid that truly stand the test of time and endure.

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Without long-term operational thinking, projects inadvertently recreate the very dependency dynamics they claim to disrupt.

Repeated failure harms the entire crypto industry

The consequences of these failures extend beyond individual projects. Whenever an initiative collapses, or public trust in a crypto-backed charity project erodes, not only is the power of philanthropy questioned, but so is belief in blockchain itself. With these failures, skepticism toward future crypto-powered initiatives only gets louder.

Africa experiences this damage the most. Failed experiments leave behind broken infrastructure and weakened confidence, making it harder for responsible models to gain support and traction. Philanthropy should never be treated as an experimental case study or showcase for blockchain technology. When human well-being is at stake, failure is not as abstract as we like to think.

For the crypto industry, this represents a credibility challenge. If blockchain is to play a meaningful role in global development, it must demonstrate discipline, restraint and accountability — not novelty for its own sake.

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Maturity, not abandonment

With all this being said, is it time to abandon crypto philanthropy projects? Certainly not. Crypto advocates often highlight the advantages of digital assets in philanthropy, including borderless transfers, reduced transaction costs and immutable records. These benefits are real and largely undisputed.

For blockchain to contribute meaningfully to sustainable effects, then it must be treated as governance infrastructure rather than a marketing fundraising function. That means prioritizing local ownership, multi-year planning, maintenance funding and accountability frameworks that extend beyond the ledger.

Until crypto philanthropy builds systems instead of hype, it will continue to fail the communities it claims to serve.

Opinion by: Samuel Owusu-Boadi, founder of WellsForAll.

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