Feb 24, 2025: Our weekly Institutional Insights explores the latest market developments — market performance, industry news, exchange-traded fund (ETF) flows, trending topics, upcoming events and token unlocks — to help you supercharge your crypto trading.

 explores the latest market developments — market performance, industry news, exchange-traded fund (ETF) flows, trending topics, upcoming events and token unlocks — to help you supercharge your crypto trading.

Weekly Highlight — Mixed Economic Data Leads to Risk-Off Strategies

For the past two months, the strong U.S. economy has given investors confidence to invest in markets, even amidst looming tariffs and a stricter Federal Reserve Board. However, recent data indicates that this support may be weakening.

Last Friday, several reports on consumer sentiment, housing and services contributed to the S&P 500's largest loss of the year as it fell 1.7%, wiping out its weekly gains. In contrast, bonds experienced a rally, driving the yield on 10-year Treasuries down to 4.43%. The VIX {

the Chicago Board Options Exchange's (CBOE) Volatility Index

, known as the "fear gauge"] spiked, but remained below 20, signaling increased market anxiety.

Previously, optimism among investors was fueled by speculation regarding U.S. president Trump’s policies promoting disinflationary growth. However, mixed economic signals are now causing concern, particularly a report showing a decline in consumer sentiment alongside rising long-term inflation expectations — the largest drop since 1995. Additionally, existing U.S. home sales fell for the first time since September 2024, further complicating the outlook.

While January's job growth appeared solid, with 143,000 jobs added and the unemployment rate stable, institutional investors began the year with a pro-risk stance, optimistic about the U.S. economy’s trajectory. Yet, the recent volatility in economic data has prompted a reevaluation of strategies.

Weekly Crypto Highlight — SEC May Drop Lawsuit Against Coinbase

Coinbase announced that the U. S. Securities and Exchange Commission (SEC) has agreed to drop its lawsuit accusing Coinbase of operating an illegal exchange, pending Commissioners’ approval. Following this news, Coinbase shares initially surged in premarket trading, but fell by 4% to $246.30 as of midday in New York. Bitcoin also declined by about 1%, trading at around $97,000.

This decision signals a shift from the aggressive regulatory stance of former SEC Chair Gary Gensler, who faced criticism from the crypto industry for enforcing regulations through lawsuits. Last week, the SEC likewise requested a pause on a similar case against Binance, highlighting ongoing developments regarding a regulatory framework for digital assets.

The SEC's complaint will be unfairly dismissed, meaning it cannot be refiled. Coinbase CEO Brian Armstrong stated that this dismissal will entail no fines or changes in the company’s operations.

Coinbase has actively engaged in Washington, D.C., donating millions to support pro-crypto candidates and recently adding Chris LaCivita, a former Trump campaign manager, to its advisory council. Armstrong has also communicated with Trump directly.

The SEC initially sued Coinbase in June 2023 amidst a broader crackdown on the digital asset industry following the 

. Gensler had claimed that many tokens fell under SEC jurisdiction. 

The dismissal alleviates a significant burden on Coinbase, allowing it to list more tokens and refocus on product development, rather than legal defenses. This outcome removes a key litigation risk, enhancing Coinbase's capacity to innovate. The company recently reported strong fourth-quarter earnings, and now aims to collaborate with Congress and regulators in order to establish clearer rules for the crypto landscape.

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Weekly Institutional Insights: Mixed Economic Data Rattles Market; SEC May Dismiss Lawsuit

Learn everything you need to know about Bybit's recent security incident and the next steps in this article.

Security breaches have shaped the cryptocurrency industry for over a decade, forcing exchanges to evolve, users to become more cautious, and regulators to tighten their oversight. From the infamous 

 collapse to the Binance security breach and 

, history has shown that while no platform is immune to threats, those that respond swiftly and transparently can emerge stronger than ever.

 where over $1.5 billion worth of ETH and stETH were compromised, and while any breach is a serious concern, our rapid response and transparency set us apart from past incidents. Unlike FTX, where billions disappeared in mere hours due to mismanagement, Bybit immediately secured assets, froze affected wallets, and maintained full platform operations. Funds remain backed 1:1, and users can continue to trade, withdraw, and deposit without disruption.

Looking at past events, we can understand how crypto security has evolved, what lessons were learned, and what the industry must do next to ensure a safer future.

A Look Back: The Most Notorious Crypto Hacks That Changed the Industry

One of the earliest and most devastating exchange hacks, 

 — valued at $450 million at the time, but worth over $36 billion today. The platform’s weak security, lack of cold storage, and failure to detect suspicious transactions led to its downfall.

The lesson was clear: Exchanges must prioritize secure wallet management, rigorous internal controls, and transparency. The Mt. Gox collapse led to better industry-wide custodial practices, ensuring that no single exchange could operate without proper security measures in place.

 due to a smart contract vulnerability. In a surprising turn of events, the hacker returned the funds, proving that on-chain tracking and community response could play a key role in recovering stolen assets.

The attack showed that DeFi projects need more rigorous security audits and multi-signature controls to prevent exploits at the smart contract level.

Unlike traditional exchange hacks, FTX’s downfall wasn’t due to external attackers but rather internal mismanagement and misuse of customer funds. In just two hours, billions of dollars were withdrawn, leaving users helpless as the platform collapsed.

This event reshaped the industry by accelerating Proof of Reserves (PoR) adoption, a transparency measure that allows users to verify an exchange’s solvency. FTX’s failure highlighted the need for stricter regulations, better internal accountability, and clear asset-backing policies.

In October 2022, Binance suffered a $570 million hack after attackers exploited a vulnerability in BSC Token Hub, a cross-chain bridge used to transfer assets between blockchains. The exploit allowed hackers to move 2 million BNB tokens off the network. 

Binance’s swift response helped limit the damage, with the exchange pausing the BNB Chain for several hours. This attack highlighted the risks associated with cross-chain bridges, reinforcing the need for stricter smart contract audits, real-time threat detection, and stronger validator coordination to prevent similar exploits in the future. 

Each of these incidents led to major security advancements and industry-wide improvements. Now, Bybit faces its own challenge — and just like Binance and other top exchanges, we are committed to coming back stronger than ever.

How Exchanges Have Improved Security Over Time

The best exchanges don’t just survive hacks—they emerge stronger by adopting new security protocols, improving transparency, and prioritizing user protection.

One of the most significant changes has been the shift to cold storage dominance, where most exchanges now keep 90% or more of user funds in offline wallets to minimize exposure to potential attacks. Security audits have also become an industry norm, with regular penetration testing, bug bounty programs, and white-hat hacker collaborations helping to identify and fix vulnerabilities before they can be exploited.

User protection funds, like Binance’s SAFU, have set a new standard for ensuring users don’t bear the cost of security breaches. AI-powered fraud detection and real-time transaction tracking have also become essential tools for identifying suspicious activity before it escalates.

Beyond individual exchange improvements, the broader industry has adapted through regulatory changes. Proof of Reserves (

) has become a key transparency measure, allowing users to verify an exchange’s solvency. Licensing requirements and exchange accountability frameworks have also become more stringent, making it harder for bad actors to operate unchecked.

How Bybit’s Response to the Crypto Hack Sets a New Standard

The way an exchange responds to a security incident defines its long-term reputation and user trust. Over the years, some platforms have struggled to manage hacks transparently, while others have turned crises into opportunities to strengthen security. Bybit’s response to this incident demonstrates our commitment to transparency, operational resilience, and user protection.

The speed of response is one of the most critical factors in mitigating damage during an attack. Bybit acted immediately, isolating affected wallets and preventing further losses. Unlike past incidents where breaches went undetected for hours or even days, Bybit’s security teams responded in real time. The ability to contain the situation quickly is a testament to our proactive monitoring systems, robust security protocols, and dedicated cybersecurity team.

Full Transparency and Real-Time Communication

Many users lose confidence in exchanges when there is a lack of clear communication during a crisis. From the start, Bybit has maintained full transparency, providing regular updates to reassure users that their assets remain secure and backed 1:1.

Rather than delaying information or releasing vague statements, Bybit has been upfront about the incident, outlining the exact steps taken to contain the breach and reinforce security. This level of openness is crucial in maintaining user trust and setting a new industry standard for responsible crisis management.

One of the biggest concerns during an exchange hack is whether users will face withdrawal restrictions or see trading halted. Bybit ensured that trading, deposits, and withdrawals remained fully operational throughout the incident.

This highlights the exchange’s financial strength and liquidity, ensuring that user funds were not affected. No restrictions were placed on withdrawals, and all assets remained backed 1:1. 

Bybit isn’t just focused on resolving the immediate issue; we are using this incident as a catalyst to further enhance security across the platform. While we already implement industry-leading security measures, we are now working with top blockchain security firms to audit our systems and implement even more advanced security solutions.

Bybit remains financially strong, with all user funds fully backed and secure. Our commitment to industry-leading security practices, user transparency, and rapid response times ensures that we will emerge from this incident stronger than ever.

As the crypto industry continues to evolve, Bybit is setting a new standard for how exchanges should handle security challenges — with transparency, operational resilience, and an unwavering commitment to user protection.

While exchanges continue to improve security, users must also take proactive steps to safeguard their assets. Here’s how you can strengthen your crypto security:

 or SMS-based 2FA to add an extra layer of protection. This prevents unauthorized access even if your password is compromised.

Use withdrawal whitelisting to ensure only pre-approved wallet addresses can receive funds. This minimizes risks from phishing scams or unauthorized transactions.

If you’re holding large amounts of crypto, consider hardware wallets like Ledger or Trezor. Unlike exchange hot wallets, cold storage keeps assets offline and safe from cyberattacks.

Hackers often exploit major security incidents by impersonating exchange support teams. Always:

Enable transaction alerts to receive real-time notifications for any account activity. Report any suspicious actions immediately to Bybit support.

By following these best practices, you can further protect your assets even during uncertain times.

The Bybit incident reinforces the need for continuous security improvements across the industry. Moving forward, we can expect:

Stricter Security Standards for Exchanges

Regulators may push for mandatory insurance funds to protect users in the event of security breaches. Additionally, exchanges will be expected to adopt stronger internal controls and more frequent security audits.

To combat sophisticated attacks, exchanges will likely invest in AI-driven risk monitoring that detects anomalies before a hack can escalate.

Greater Transparency and Proof of Reserves

 to ensure their funds are secure. Bybit remains committed to maintaining full backing of user assets and transparent operational updates.

More exchanges may introduce hybrid custody models, where users can trade while maintaining partial self-custody of their assets.

Crypto’s Strength Lies in Solidarity: Bybit’s Gratitude to Partners and Users

One of the most powerful takeaways from this incident has been the overwhelming support from our partners, industry leaders, and users. As soon as the news broke, top security firms, blockchain analytics teams, and exchange partners reached out, offering their expertise and assistance to track the stolen assets and enhance security.

We are incredibly grateful for the outpouring of support from our community. Crypto has always been an industry built on resilience and collaboration, and this event has reinforced that when one exchange is attacked, the industry stands together to protect users and strengthen security.

Bybit would like to extend a heartfelt thank you to our partners, users, and the broader crypto ecosystem for standing with us during this time. Your trust, patience, and unwavering support fuel our commitment to come back stronger, set new security benchmarks, and continue providing a safe and innovative trading experience.

Bybit’s Commitment to a Stronger Future

Despite this setback, Bybit remains one of the strongest and most well-respected exchanges globally. Our response to this incident proves that:

Bybit’s journey doesn’t end here. We will continue to improve, evolve, and set new security standards for the industry.

The crypto space must learn from every challenge, and with greater security, transparency, and resilience, we can build a safer, more trustworthy future for all users.

The road ahead is clear — Bybit is here to stay, and we are stronger than ever.

For real-time updates, you may refer to our official channels such as the 

Beginner

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Hacks That Strengthened Crypto: Responses That Build a Safer Future For All

As of mid-February 2025, the cryptocurrency market is experiencing movements driven by economic pressures and regulatory movements. 

As of mid-February 2025, the cryptocurrency market is experiencing movements driven by economic pressures and regulatory movements. Recent inflation data has rattled financial markets, leading to a sharp reassessment of expectations for Federal Reserve policy. A higher-than-expected Consumer Price Index (CPI) report has caused Bitcoin to dip below $94.2K before rebounding to approximately $98.1K. This fluctuation illustrates how macroeconomic factors are increasingly influencing digital assets, mirroring trends seen since early 2022 when the Fed began raising interest rates.

Santiment data reveals that discussions around the terms “CPI” and “inflation” surged to 1.75% of all crypto conversations, the highest level since 2022. This heightened sensitivity indicates that when markets are stagnant or declining, economic news is met with increased concern and fear, often leading to sell-offs. Despite the increased uncertainty, Bitcoin has demonstrated resilience, staying above the $98K mark. Nevertheless, continued inflation could lead to further volatility in risk assets such equities and crypto.

The LIBRA scandal has further complicated the crypto landscape. Argentine President Javier Milei's endorsement of the cryptocurrency led to a dramatic rise — and an even more significant fall in value, as it plummeted by 80% within days. Allegations of fraud surrounding Milei have intensified scrutiny of speculative assets, particularly meme coins, leading to a crisis of confidence among investors.

The fallout from this scandal reflects a broader trend of growing impatience with high-risk assets. Retail sentiment has turned bearish, as evidenced by increased mentions of selling across social media platforms. This shift highlights the need for thorough research before investing in speculative projects. The LIBRA incident serves as a stark reminder of the risks associated with relying solely on endorsements for investment decisions, prompting many traders to seek more stable and established cryptocurrencies.

Emerging Opportunities and Investor Behavior

Litecoin is gaining traction, driven by the possibility of a spot ETF approval that could pave the way for broader access to altcoins, further maturing the crypto market. As discussions around the term “Litecoin ETF” spike, market analysts are optimistic about the likelihood of approval, which could enhance investor interest in Litecoin and similar assets.

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Bybit x Santiment: LIBRA Scandal Gives Rise to Meme Coin Crisis; Litecoin ETF Anticipations Build Up

KAITO is the core currency of Kaito AI’s InfoFi ecosystem, enabling transactions, governance, staking, and community engagement.

The S&P 500 fell 0.43% amid Walmart’s weak outlook, with investors eyeing PMI and home sales data next. Gold rose 0.23% to $2,939 on safe-haven demand but retreated from a $2,954 high. Traders await S&P Global Flash PMIs. Coindesk Indices, an index measuring broader cryptocurrency market performance was up by 0.02%, with Bitcoin and Ether rising by 2.46% and 0.69%, respectively in the past 24 hours. Trade these markets and more with up to 500x leverage on Bybit MT5 using this 

Today’s top performer is BERA, which surged nearly 15.8% after The Graph integrated Berachain Mainnet on day one, enabling seamless onchain data access.

Berachain (BERA), founded in 2021, is a Layer 1 blockchain with Proof-of-Liquidity consensus, ensuring security and liquidity while maintaining full Ethereum compatibility. The Graph has 

 support for the newly launched Berachain mainnet from day one. Developers can now query Berachain data using Subgraph Studio, making it easier to organize and access onchain data. This integration enables the creation of fast and efficient frontends for Berachain-powered dapps.

Check Out the Latest Prices, Charts, and Data of 

 is the core currency of Kaito AI’s InfoFi ecosystem, enabling transactions, governance, staking, and community engagement. The total supply is allocated as follows: 56.67% to community and ecosystem initiatives (including ecosystem growth, creator incentives, and liquidity rewards), 25% to core contributors, 10% to the foundation, and 8.3% to early backers. Distribution is merit-based, using AI-driven assessments of engagement, governance participation, and long-term alignment with Kaito’s vision. Staking provides rewards and voting rights, ensuring active participation. A claim process for KAITO will be announced soon.

Yesterday, BTC Spot ETFs recorded a net outflow of $252.8M, including $33.5M from GBTC and $219.3M from non-GBTC funds.

. With $43 million in funding, this presents a valuable opportunity. To maximize your points, complete the "Generate at least one transaction on Sahara Testnet" task by sending a small amount of SAHARA via Metamask. This earns 20 points, a significant amount compared to other tasks. Ensure you take full advantage of this opportunity.

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KAITO Powers the InfoFi Ecosystem with Governance Staking and Community Rewards

Web3 Experts

Unlock the evolving market landscape of AI and Crypto with insights from our guest author as they dissect market cycles, categorize projects, and highlight emerging trends in assetization.

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More than a year since the release of ChatGPT, discussions about AI+Crypto have once again heated up in the market. AI is seen as one of the most important tracks in the bull market of 2024–2025, and Vitalik Buterin himself published an article entitled 

, exploring possible directions for future AI+Crypto exploration.

This article won’t make too many subjective judgments, but will instead simply summarize the entrepreneurial projects combining AI and crypto observed over the past year from a primary market perspective. It will examine the perspectives from which entrepreneurs have entered the market, the achievements made so far, and which areas are still being explored.

Throughout 2023, we’ve talked to dozens of AI+Crypto projects, among which distinct cycles can be observed.

Before the release of ChatGPT at the end of 2022, there were few 

 projects related to AI in the secondary market. The main ones that come to mind are 

 (AGIX) and a few other veteran projects. Similarly, there weren’t many AI-related projects available in the primary market.

From January to May of 2023 could be considered as the first concentrated outbreak period for AI projects. After all, ChatGPT’s impact was significant. Many old projects in the secondary market pivoted to the AI track, and almost every week in the primary market AI+Crypto projects were being discussed. Similarly, during this period, AI projects seemed relatively simple. Many of them were based on a “skin-deep” adaptation of ChatGPT, combined with blockchain modifications, with almost no core technological barriers. Our in-house development team could often replicate a project framework in just a day or two. This also led to numerous meetings with AI projects during this period, but ultimately, no action was taken.

From May through October, the secondary market began to turn bearish. Interestingly, during this time, the number of AI projects in the primary market also decreased significantly. It wasn’t until the last month or two that the quantity started to pick up again, and discussions and articles about AI+Crypto became richer. We once again entered a period where we could encounter AI projects every week. Half a year later, it was evident that a new batch of AI projects had emerged with a better understanding of the AI track, the landing of commercial scenarios and an improved integration of AI+Crypto as compared to the first wave of AI hype. 

Although the technological barriers still weren’t strong, the overall maturity level took a step forward. It was only in 2024 that we finally made our first bet on the AI+Crypto track.

Vitalik Buterin, in his article on “promise and challenges,” provides predictions from several relatively abstract dimensions and perspectives, as follows:

We, on the other hand, will summarize the AI projects currently seen in the primary market from a more specific and direct perspective.

Most AI+Crypto projects are centered on the core of crypto, which we’re defining as “technological (or political) decentralization + commercial assetization.”

Regarding decentralization, there isn’t much to say, as it’s all about 

. Therefore, we can roughly divide the categories of assetization into three main tracks:

This is a relatively dense track, as besides various new projects there are also many old projects pivoting. For example, on the 

 side, there’s Akash Network, and on the 

. After pivoting, the tokens have all experienced crazy surges, which also indirectly reflects the market’s optimism toward the AI track. Although 

 (RNDR) primarily focuses on decentralized rendering, it can also serve AI purposes. 

Therefore, many classifications include RNDR-like computing power-related projects in the AI track.

Computing power assetization can be further subdivided into two directions, based on the use of computing power. One is represented by Gensyn, which is “decentralized computing power used for AI training.” The other is represented by most pivots and new projects, or “decentralized computing power used for AI inference” (the ability of machine learning models to base decisions or predictions on previously learned data or models).

In this track, we can observe an interesting phenomenon, or perhaps a chain of disdain:

Traditional AI → Decentralized Inference → Decentralized Training

The main reason lies in the technical aspect — because AI training (especially for large model AI) involves massive amounts of data. What’s even more exaggerated than the data requirement is the bandwidth demand formed by the high-speed communication of this data. In the current environment of transformer large models, training requires a computational matrix composed of a large number of high-end graphics cards like the 4090 series/H100 professional AI cards with communication channels of the hundred-gigabit level formed by NVLink and professional fiber switches. Can you imagine decentralizing this stuff? Hmm …

The demand for computing power and communication bandwidth in AI inference is far less than in AI training. Naturally, the possibility of decentralized implementation is much greater for inference than for training. That’s why most computing power-related projects focus on inference, while training is primarily left to major players like Gensyn and Together AI, which have raised hundreds of millions in financing. However, from the perspectives of cost-effectiveness and reliability, at least at this stage, centralized computing power for inference is still far superior to decentralized options.

This explains why those focused on decentralized inference look at decentralized training and think, “You can’t make it happen at all,” while traditional AI views decentralized training and inference as “unrealistic in terms of training technology” and “unreliable in terms of inference commercially.”

Some say that when BTC/ETH first appeared, the model of having distributed nodes compute everything seemed relatively illogical (as compared to cloud computing). But in the end, didn’t it succeed? Well, that depends upon the requirements for correctness, immutability, redundancy and other dimensions of AI training and inference in the future. Purely in terms of performance, reliability and price, it’s currently impossible to surpass centralized solutions.

This is also a crowded track for projects, and is relatively easier to understand as compared to computing power assetization because one of the most well-known applications after the popularity of ChatGPT is Character.AI. With it, you can seek wisdom from ancient philosophers like Socrates and Confucius, engage in casual conversations with celebrities like Elon Musk and Sam Altman, or even indulge in romantic talks with virtual idols like Hatsune Miku and Raiden Shogun. All of this showcases the charm of large language models (LLMs). The concept of AI Agents has become deeply ingrained in people’s minds through Character.AI.

What if figures such as Confucius, Elon Musk or Raiden Shogun were all 

So, rather than calling it model assetization, it’s more apt to say it’s the assetization of agents built on top of large models. After all, large models themselves can’t be put on the blockchain. It’s more about mapping agents on top of models into NFTs to create a sense of “model assetization” in the AI+Crypto space.

There are now agents that can teach you English or even engage in romantic relationships with you, among various other types. Additionally, related projects, such as agent search engines and marketplaces, can also be found.

The common issue in this track is first of all that there are no technological barriers. It’s basically just the tokenization of Character.AI. Our in-house tech wizards can create an agent that speaks and sounds like a specific character (such as our co-founder, BMAN) in just one night by using existing open-source tools and frameworks. Secondly, the integration with blockchain is very light. It’s somewhat akin to 

, in which the metadata stored may only be a URL or hash, and the models/agents reside on cloud servers. On-chain transactions only represent ownership.

The assetization of models/agents is still one of the main tracks in AI+Crypto for the foreseeable future. In the future, we hope to see projects with relatively higher technological barriers and closer integration with blockchain that are more native.

Logically speaking, data assetization is the most suitable aspect of AI+Crypto because traditional AI training mostly relies on visible data available on the internet — or, to be more precise, public domain traffic data. This data may only represent a small percentage, around 10–20%, with the majority of data actually lying within private domain traffic (including personal data). If this traffic data can be utilized for training or fine-tuning large models, we can undoubtedly have more professional Agents/bots in various verticals.

Therefore, through AI+Crypto, and under the guidance of decentralized incentives, releasing personal and private domain traffic data and assetizing it to provide better and richer “food” for large models sounds like a logical enough approach. Indeed, there are several teams deeply involved in this field.

However, the biggest challenge in this track is that, unlike computing power, data is difficult to standardize. Using decentralized computing power, the model of your graphics card directly translates into the amount of computing power you have. On the other hand, the quantity, quality and purpose of private data are all difficult to measure. If decentralized computing power is like ERC-20, then assetizing decentralized AI training data is somewhat like ERC-721 — and like having many projects, such as 

 and different NFTs with different traits mixed together. The difficulty in liquidity and market-making is much more challenging than with 

. Therefore, projects focusing on AI data assetization are currently facing significant challenges.

Another aspect in the data track worth mentioning is decentralized labeling. Data assetization operates at the “data collection” step, and the collected data needs to be processed before being fed to AI, which is where data labeling comes in. This step is currently mostly centralized and labor-intensive. With decentralized token incentives, transforming this work into decentralized, labeling-to-earn or (similar to crowdsourcing platforms) distributing work is also a viable approach. A few teams are currently working in this area.

Let’s briefly discuss the currently missing puzzle pieces in this track from our perspective.

You might ask why a VC like us can come up with certain scenarios before entrepreneurs in the market can. That’s because we have seven experts on our in-house AI team, five of whom have PhDs in AI. 

Finally, although from the perspective of the primary market, AI+Crypto is still quite early and immature, this doesn’t prevent us from being optimistic about 2024–2025, when AI+Crypto will become one of the main tracks of this bull market cycle. After all, is there a better way to combine productivity that’s liberated by AI with production relations liberated by blockchain?

Viewing AI+Crypto From a Primary Market Perspective

Grab Up to 5,000 USDT in Rewards

Grab Up to 5,000 USDT in Rewards