Ethereum surged 29% this week, breaking a 10-week downtrend and catching short sellers off guard with $400M liquidated. 

The S&P 500 extended its rally with a nine-day winning streak, its longest since 2004, as optimism over potential trade deals and upcoming Fed and earnings updates lifted sentiment. Gold rose to $3,245 on trade uncertainty and Fed rate cut hopes. CoinDesk Indices, which tracks the broader crypto market, fell 1.50% in the past 24 hours, while Bitcoin and Ether dropped 0.10% and 0.51%, respectively. Trade these markets and more with up to 500x leverage on Bybit MT5 using this 

Today's top performer is AI16Z, which surged 7.0% after Bonsai's smart media protocol integrated with Eliza to empower agent-driven social content creation.

elizaOS (AI16Z), launched in October 2024, formerly ai16z, is a Solana-based DApp that uses a DAO and an AI agent, "Marc AIndreessen," to manage community-driven investments in tech and crypto projects. 

, lets developers create agent-driven social media scripts and templates using ElizaOS plugins. The Bonsai Client, its first implementation, enables easy deployment of these smart media agents on platforms like Lens. Builders can explore these tools and compete for prizes in the Lens Spring Hackathon.

Check out the latest prices, charts, and data of 

Ethereum surged 29% this week, breaking a 10-week downtrend and catching short sellers off guard with $400M liquidated. Despite muted ETF flows and neutral derivatives sentiment, ETH’s dominance remains unshaken—boasting $64B in TVL, dwarfing Solana, BNB Chain, and Tron combined. With fresh momentum from the recent pectra upgrades and Trump distancing from rival altcoins, all eyes are now on a potential push toward $2,700. 

BTC spot ETFs saw $920.9M in net inflows this week, driven by $1.09B into non-GBTC funds despite $171.5M outflows from GBTC. Since inception, total net inflows stand at $41.1B.

 are now live and claimable as a small bonus for users farming the upcoming Aster (AST) airdrop. By depositing BNB to mint asBNB, users can start earning points toward both the main airdrop and future ecosystem rewards. Optional perp trading can boost points further, but simply holding asBNB is enough to qualify.

Beginner

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Ethereum outperforms with a 20% rally as fresh capital flows in and undervaluation signals flash

Our monthly report delves into insights from options volatility to inspire your next crypto move.

: April 2025 saw BTC's implied volatility surge above 75% due to tariff chaos, but it collapsed to 35% within a week, indicating a surprising short-term drop in volatility expectations despite ongoing macro uncertainty.

: BTC's return above $100K was met with muted enthusiasm in the derivatives market, suggesting that 

traders no longer view this level as a significant psychological barrier, and the rally isn’t likely to be sustained.

: ETH significantly outperformed BTC with a 23% rally, leading to increased demand for short-dated calls and a positive shift in the options market, highlighting renewed bullish sentiment.

: Historical trends suggest a potential summer lull in volatility in store for BTC, raising questions about whether this pattern will repeat in 2025 amidst ongoing macroeconomic challenges.

Bitcoin’s volatility plunges in late April

April 2025 witnessed significant volatility in the cryptocurrency market, particularly influenced by US trade policies. As President Trump announced steep reciprocal tariffs, the crypto landscape experienced sharp fluctuations. Bitcoin (BTC) initially demonstrated resilience, despite widespread sell-offs in equities and the US dollar, only to succumb to a decline from $88K to $75K by early April. This period was characterized by a dramatic rise in implied volatility that peaked above 75% as traders sought protection through short-dated puts. However, as the tariffs faced moderation, implied volatility plummeted to 35% by mid-April, marking the lowest level since early March.

Interestingly, while short-tenor volatility collapsed, 

the back end of BTC's term structure remained elevated, signaling that market participants expect heightened volatility in the mid-term

. Amidst this backdrop, realized volatility fell below the five-year seasonal average, paralleling similar trends in previous years and suggesting a 

. The historical pattern contrasts that BTC often experiences a rebound in volatility heading into May, raising questions about whether this trend will persist.

Subdued derivative response suggests Bitcoin rally might not endure

The market's reaction to BTC's resurgence above the $100K threshold was notably subdued compared to previous instances. While BTC rallied 20% following the initial tariff sell-off, the derivatives market displayed a muted response. The 25-delta put/call skew, a measure of market sentiment, indicated only a slight bias toward out-of-the-money calls, contrasting sharply with sentiment previously when BTC first breached the $100K mark in December 2024. This lack of exuberance suggests that traders no longer view $100K as a significant inflection point, raising concerns about the sustainability of the rally. 

Meanwhile, funding rates and implied volatility — though still bullish — didn’t reach the extremes observed in earlier months, indicating more cautious market sentiment. The relationship between BTC's spot price and implied volatility suggests that although traders are optimistic, they’re waiting for BTC to approach previous all-time highs before adjusting their volatility expectations.

Ethereum's option data points to further rally

In stark contrast to BTC, Ethereum (ETH) displayed remarkable resilience and outperformed major cryptocurrencies, gaining 23% overnight following favorable trade news. This rally catalyzed a surge in demand for short-dated calls, pushing front-end volatility expectations significantly higher. The response from the derivatives market was robust, inverting the term structure and indicating renewed bullish sentiment toward ETH, even as it’s trading well below its all-time high.

The ETH options market exhibited a shift from neutral to slightly negative skew, to a 10% bias favoring out-of-the-money calls, reflecting the market's confidence in ETH's potential to regain lost ground. Despite overall macroeconomic uncertainty, the demand for ETH options suggests that traders are optimistic about Ether’s future price movements.

In conclusion, April 2025 highlighted the complex interplay between macroeconomic factors and cryptocurrency market dynamics. While BTC faced challenges in eliciting strong responses from derivatives markets upon recrossing the $100K threshold, ETH's performance indicated a divergence in market sentiment. As traders navigate the evolving landscape, the potential for seasonal volatility patterns and the influence of macroeconomic developments will remain critical factors in shaping future market expectations.

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Bybit X Block Scholes options volatility report (April 2025): Data suggests Bitcoin rally might not endure, but Ether sees further upside

Our weekly crypto derivatives analytics report delves into macro events; the current state of crypto and trading signals from spot trading volume; and futures, options and perpetual contracts.

After mostly trading sideways at the end of April 2025, a US-UK trade deal sparked a crypto rally. BTC surged past $100K for the first time since February, but it’s ETH's performance that captured the derivatives market's attention. 

A 23% increase in ETH's spot price led to an inverted term structure and a spike in front-end volatility. The put/call skew for ETH shifted from a bearish bias to a nearly 10% skew toward OTM calls. Other sentiment indicators, such as perp funding rates and futures yield, also supported the rally. In contrast, while BTC's funding rates and skew have increased, its implied volatility remains low at 40%, over 30 points below ETH's 7-day implied volatility.

Please check out the report’s highlights.

ETH’s record performance since 2021 was propelled by positive term structure

ETH has significantly outperformed BTC and the top 10 cryptocurrencies, marking its largest single-day gain since May 2021. The options market has reflected this enthusiasm, with implied volatility for short tenors rising sharply and inverting ETH’s term structure, thus contrasting with BTC's muted, positively sloped structure. The 7-day tenor for ETH is now trading at a 33-point premium over that for BTC. 

While puts dominate BTC's open interest, ETH is seeing the opposite trend. On May 8, 2025, options volumes surged over $120M, more than double the typical monthly volume, with $60M more in calls than puts. ETH now boasts a positive futures curve and funding rates, as well as a strong skew toward OTM calls.

ETH sees exceptionally bullish put/call skew

ETH's substantial outperformance in the current crypto rally has led to bullish sentiment in its derivatives markets. Funding rates have surged, futures yields are strongly positive and the put/call skew has shifted significantly toward OTM calls, now close to 10%. This starkly contrasts with early April, when the skew was 20% toward OTM puts. Although ETH has underperformed (relative to BTC and other "ETH killers"), it has rebounded in this rally, with the ETH/BTC ratio rising after spending most of the year declining.

Open interest for Bitcoin options increased, with implied volatility remaining suppressed

The announcement of the new US administration's first trade deal, nearly 30 days into Trump's 90-day tariff pause, jolted crypto markets, pushing BTC back up above $100K. Surprisingly, implied volatility has remained suppressed, failing to invert BTC's term structure, with front-end volatility trading at around an 18-month low of 35-40%. On May 8, 2025, options volumes surged, with call volume reaching $189M, reversing last week's trend of higher put volumes. Meanwhile, open interest rose steadily to exceed $300M, the highest level this month, but remains significantly larger for puts than for calls despite the price increase.

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Bybit X Block Scholes crypto derivatives analytics report (May 9, 2025): Ether’s put/call skew turns remarkably more bullish than Bitcoin’s

This article explores how Sign works, its flagship products (such as TokenTable, SignPass and EthSign), its native token (SIGN) and how to trade SIGN on Bybit.

Sign is an omnichain attestation infrastructure that empowers users and developers to verify real-world claims on-chain. Built for a more transparent and decentralized future, it eliminates the need to “just trust” and enables everyone to verify with cryptographic proof.

This article explores how Sign works, its flagship products (such as TokenTable and EthSign), its native token (SIGN) and how to trade SIGN on Bybit.

 is an omnichain attestation protocol designed to make it easy for anyone to verify the authenticity of any claim — 

. Whether it’s a document, credential or user identity, Sign transforms traditional trust models into verifiable, cryptographic attestations. 

Sign’s mission is to replace outdated, opaque validation systems with transparent, 

 proof — enabling a future where “verify” replaces “trust.” Through tools like schema registries and digital signatures, Sign empowers users to bring accountability and integrity to digital interactions.

Sign is developed by the team behind EthSign, a 

-native e-signature and agreement platform. Its core team brings deep experience in 

 development and cross-chain integrations.

The project is backed by top-tier investors, including Sequoia Capital China (now known as HongShan Capital Group), Mirana Ventures, HashKey Capital and Hack VC.

This strategic funding positions Sign as a foundational layer in the web3 infrastructure stack.

Sign allows users to create attestations — cryptographically signed statements that prove the validity of claims, such as credentials, achievements or actions. These digital proofs can be verified by anyone at any time, making them tamperproof and transparent.

Sign’s key technical elements include a schema registry that ensures consistent data formatting, digital signatures proving authenticity, and on- and off-chain attestations with support for revocation or updates

This system acts like a programmable layer for web3, bringing a new level of trust to identity, credentials and data exchange.

TokenTable is Sign’s flagship token distribution platform. It helps projects unlock, distribute and manage tokens transparently and securely at scale.

It uses Sign’s attestation engine to verify token unlocks, 

 and vesting schedules, ensuring traceable, auditable token flows.

SignPass is a blockchain-based identity solution that brings real-world credentials on-chain. One notable implementation is the Sierra Leone PR Card, used for the world’s first government-approved on-chain permanent residency program.

SignPass offers encrypted on-chain records for easy 

 verification, physical ID issuance for daily identity use and streamlined digital application systems for cross-border access.

It showcases the way blockchain can modernize public sector services worldwide.

EthSign is a decentralized contract signing platform that lets users create, sign and store legally binding agreements directly on-chain. It removes intermediaries and ensures documents are immutable and accessible.

EthSign reinforces Sign’s mission by bringing traditional documentation into the realm of verifiable web3 attestations.

The SIGN token is the native utility token powering the Sign ecosystem. It’s used for:

The total supply is capped at 10 billion SIGN, with 1.2 billion tokens in circulation. While the fully diluted valuation (FDV) sits above $746 million as of May 7, the circulating market cap is approximately $89.6 million. SIGN continues to gain traction across exchanges and developer networks.

SIGN is available for trading on Bybit via Spot trading and as a USDT Perpetual contract. Bybit offers up to 75x leverage for the SIGNUSDT Perpetual contract and supports secure, high-liquidity spot trading.

Start exploring the future of attestations with SIGN on Bybit today.

Intermediate

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Sign (SIGN): Web3 protocol for trustless attestation

Bybit Learn

Web3 Experts

Learn more about the gamified decentralized trading experience with insights from our guest author, Hamber Luo.

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 is a problem-solving method designed to break down complex problems to their most basic principles or facts, and then build solutions from those fundamentals.

Based on first principles, the problems that a DEX needs to address are as follows:

In order to achieve seamless use, a series of technical user experience (UX) and regulatory issues need to be addressed.

StarkEx and other ZK-rollup technologies have given a significant boost to DEXs in terms of performance and scalability.

Given these improvements, the main challenges now shift to 

user-friendliness, education and awareness

1.3 Changes in User Mindset With the Advent of AI

Under the wave of AI, especially as large models like GPT gradually approach the era of AGI (artificial general intelligence at human level), we indeed see a series of social and technological changes.

Changes in user mindset can be explored by the following trends.

Applying game mechanics to non-gaming environments is an innovative way to attract and retain users, increase user activity, enhance user experience and improve satisfaction.

By applying game mechanics to a DEX, one can create a more appealing, interactive and fun environment, thus attracting more users and increasing retention.

However, it’s essential to ensure that gamified elements align with the core functionalities of the DEX, and to avoid distracting users from their primary trading activities.

Design the user education and interaction of DEX as an app-like game, focusing more on casual experiences rather than heavy-duty large games.

Gamification can permeate various business scenarios:

This gamified approach can effectively lower the entry barrier for DEXs, making them more accessible and easier to understand.

, especially when real money is involved. However, gamifying certain elements of trading — especially within educational and training contexts — can help new users more easily understand and familiarize themselves with trading processes and strategies.

Mini-games require the use of a game engine for development.

What we need here is a lightweight game engine like Unity for casual games, not game engines specifically for making games.

When considering integrating mini-games into non-gaming applications, there are several reasons to choose a lightweight game engine, as follows.

Flutter is an open-source UI software development tool kit developed by Google. Initially, it was designed to help developers build high-quality native apps for iOS, Android and the web.

However, it later expanded to other platforms, such as desktops.

The main features of Flutter include its use of the Dart language, a high-performance rendering engine, and a plethora of components and plugins to simplify the development process.

Flutter Flame is a lightweight game development framework built on the Flutter platform. Its aim is to provide a simple, user-friendly way to create games and game-related apps using Flutter.

The relationship between the two can be understood from the following perspectives.

In summary, while Flutter provides a cross-platform application development environment, Flutter Flame adds tools and features optimized for game development, making game development within Flutter feasible.

When considering game development with Flutter and deploying it to the web, there are two distinct strategies:

Each strategy has its own advantages and considerations.

For instance, the first approach focuses on utilizing Flutter’s capabilities for game development, and ensures the game is optimized for the web.

The second approach is broader, implying a full adoption of Flutter for all front-end aspects, not just the game. This could offer a consistent UI/UX across the application, but may involve more extensive work in terms of migration and adaptation.

Gamification and social trading are currently hot topics in the fields of digital currency and DEXs.

To better understand the roles and potential of these two within the context of a DEX, let’s analyze them one by one.

So, between gamification and social trading, which one is the direction of the future?

This actually depends upon the target audience and market positioning of the DEX.

If the goal is to attract more young users and beginners, gamification might be more appropriate, because it can provide a more relaxed and entertaining trading experience.

For professional traders who wish to share experiences and strategies, social trading may be more appealing.

However, the future direction isn’t to choose one over the other, but to combine the strengths of both.

A DEX that integrates elements of both gamification and social trading can offer an enjoyable and in-depth user experience, thus meeting the needs of different users.

In the wave of AI, users have already become accustomed to intelligent, automated experiences, and they expect more convenient, personalized services.

At the same time, the demand for entertainment and social interaction is constantly growing.

If we think from the perspective of slogans or external perceptions, I believe there are several strategies:

This approach suits those wanting to attract young users, beginners or those seeking a unique trading experience.

This strategy might attract those who wish to interact with others, and to share experiences and strategies.

This strategy could attract a wide range of users, but might require more effort to ensure the clarity and appeal of the message.

Considering the shifts in user mindset under the wave of AI, I believe the third strategy to be the most promising, because in the AI era, users not only expect intelligent services but also seek more interactions and social opportunities.

Merging elements of gamification and social trading could offer users a trading experience that’s both fun and in-depth.

On-Device Machine Learning (also known as edge machine learning, or edge ML) refers to conducting machine learning computations directly on the user’s device, rather than on servers or cloud centers.

This brings about benefits such as enhanced privacy protection and lower latency. Applying edge machine learning to a DEX can offer advantages in multiple aspects.

Edge ML can help create a personalized trading experience that’s tailored to a user’s historical trading data and preferences.

This application develops a smart assistant that can provide real-time trading advice and market analysis.

4.3 Optimized Network and Resource Utilization

By executing computations on-device, a DEX can reduce the load on central servers, thus enhancing overall performance and efficiency.

Since data is primarily processed and stored locally, user privacy is better protected.

Using machine learning to detect game cheating is an emerging area of interest.

Cheating disrupts the fairness of games and can result in the departure of honest players.

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