Editor’s note: We are settling in for the first full day of the Weiss Investment Summit in Boca Raton. But we’re already looking ahead.
Tomorrow is going to be full of crypto analysis and recommendations. To get ahead of that action, we want to share this insight from crypto expert Jurica Dujmovic.
And don’t worry if crypto is not your thing. He dives into where to find market sentiment.
Crypto has a new leg up, as you’ll see. But even TradFi investors need to see how much sentiment discovery can help you profit.
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| By Jurica Dujmovic |
Many investors rely on social media forums to take the temperature of the market. Others adjust their strategy based on headlines and macroeconomic factors.
But here’s how those play out …
1. Social Media Sentiment (Twitter, Reddit)
- Typical Accuracy: 55-65%, depending on methodology
- Pros: Rich, real-time data from active crypto communities
- Cons: Highly noisy, easily manipulated by bots and platforms impose API limits
2. Forum and Chat-Based Sentiment (Discord, Telegram, etc.)
- Typical Accuracy: Anecdotal studies suggest a low 60% range
- Pros: Can capture insider sentiment or early trends
- Cons: Closed ecosystems, difficult to mine systematically
3. News-Based Sentiment
- Typical Accuracy: 58-62%, depending on source quality
- Pros: Includes expert opinions and institutional moves
- Cons: Often lags behind market movements, especially in mainstream media
These sources “work” for crypto and TradFi investors alike. But recently, a brand-new — or at least recently discovered — sentiment source was discovered.
Buried within Bitcoin's blockchain — beneath the transactions, hash rates and market noise — lies an untapped reservoir of price predictions hiding in plain sight.
And it’s a lot easier to see than you might think.
Because it's not encoded in complex algorithms.
Or buried in insider chat groups.
Rather, these predictions lie in the actual text messages that users have embedded into transactions since 2009.
And here’s the kicker: It has been surprisingly accurate.
Here’s how it stacked up to the above sentiment sources:
Blockchain-Embedded Sentiment
- Accuracy: 60.53% using ML models
- Pros: Uncensored, immutable, tied directly to market participants with "skin in the game"
- Cons: Harder to extract, requires cleaning, lower volume of meaningful content
So blockchain-embedded sentiment doesn't necessarily outperform the best social sentiment strategies in raw accuracy.
Where it does shine is in the quality of its data. It offers comparable results with potentially lower manipulation risk and better transparency.
Why This Matters for Investors
Blockchain-embedded sentiment offers something fundamentally different. Something uniquely crypto.
Social media discussions can be commandeered by market manipulators or uninvested observers. More accurate information could also come too late for most investors to act on. And many platforms have post limits that can stifle the flow of information.
But blockchain messages are …
- Timely: They are often made in real-time as users transact.
- Trustless: They are made by actual market participants who have put capital at risk with their transactions.
- Democratized: The same information is available to retail investors and institutional players alike, so long as they know where to look.
- Transparent: When someone embeds a sentiment or signal directly into a Bitcoin transaction, it cannot be deleted or edited. This creates a transparent record of market sentiment that resists manipulation in ways that social media simply cannot.
What excites me most is how unexplored this territory remains.
While countless trading firms already mine Twitter and Reddit for alpha, blockchain-embedded messages represent fresh hunting grounds.
arXivLabs’ researchers have demonstrated there is meaningful predictive power here. But they've likely only scratched the surface of what's possible.
If Bitcoin's blockchain truly contains predictive signals about its own price, savvy investors will develop tools to systematically extract and leverage this information.
Or we could see the emergence of a hybrid approach for even better predictive power — one that combines existing sentiment analysis from social media and news sources for a more comprehensive view of market sentiment.
Blockchain sentiment analysis could also be extended to other networks.
The team also looked at Ethereum'sblockchain. And while so far, embedded sentiment didn't prove as predictive in this study, other chains might contain valuable signals.
Finally, and this bears repeating, when someone takes the time (and pays the transaction fee) to embed a message in the blockchain, they're often the same people actively participating in the market.
This "skin in the game" dynamic creates a fundamentally different quality of signal compared to the casual commentary that dominates social platforms.
These aren't just people talking about Bitcoin. They're actually using it.
As blockchains continue to evolve beyond simple payment systems into complex information networks, the value of the data embedded within them will likely grow.
For researchers and traders willing to dive into this data, there could be precious insight to be found in the blockchain's hidden messages.
The only question is, how will it benefit your investment journey.
Best,
Jurica Dujmovic
P.S. While sentiment analysis is a good place to start, nothing beats hard data when it comes to weighing your investment opportunities.
And at Weiss, rating stocks, banks, insurance companies and crypto based on that hard data is our bread and butter.
That’s why we’ve recently upgraded our website … to offer more data and data-driven tools to make our ratings even easier to parse to help you diversify your portfolio.
To access all this new data, you’ll need to check out this presentation.
