Jan 6, 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.

Weekly Highlight — Markets Snap Five-Day Loss Streak 

Investors are now seizing the opportunity to buy the dip in U.S. stocks after a five-day decline that erased over $1 trillion in market value. Wall Street has broken its longest losing streak since April, with the Nasdaq-100 rebounding 1.7% and the S&P 500 rising 1.3% on Friday, January 3. These gains slightly offset the week's sell-off, which had continued into the new year following a tough December.

Despite concerns about slowing earnings growth among tech giants like the Magnificent Seven, traders remain optimistic, especially regarding AI leader NVIDIA Corporation. The market believes that, as long as retail investors keep investing in AI, the associated stock market boom is expected to persist. 

Stocks reached their session highs in the afternoon after Mike Johnson was reelected as speaker of the U.S. House of Representatives, indicating potential support for a business-friendly agenda. Meanwhile, bond yields rose, with the 10-year hitting 4.6% following comments from Richmond Fed President Tom Barkin about maintaining restrictive rates. U.S. manufacturing showed modest growth, with new orders at their highest since early last year, while investors assessed economic strength against the possibility of slower interest-rate cuts.

Weekly Crypto Highlight — AI Agent Spring Coming

Many investors are eagerly anticipating an Alt Season, a period when altcoins typically surge in value. However, current market dynamics suggest we may not see a widespread altcoin rally. The sheer number of tokens, combined with limited liquidity, has led to what's known as altcoin dispersion, making it crucial to select the right sectors and tokens.

, which are thriving even as the broader market declines. This nascent sector is experiencing rapid advancements, and its associated tokens face less pressure from venture capital unlocks. Many of its top protocols lack centralized exchange listings, indicating more buyers may enter the market.

Those investors who missed previous opportunities, such as the DeFi summer of 2020 and the Alt Layer 1 trade, now have another chance. Instead of targeting individual AI agents, the best risk/reward strategy lies in investing in infrastructure plays, which serve as the foundational tools for the sector.

The leading AI agent player is Virtuals Protocol, a platform for launching tokenized AI agents on the Base network. By purchasing tokens like Luna by Virtuals (LUNA) and VaderAI (VADER), users gain governance rights over specific agents, which allows them to both influence development and share in profits. 

Recently, daily protocol fee revenues dropped significantly in mid-December 2024 as activity slowed for the holidays. However, speculation around agent-associated tokens surged as the new year approached. Currently, Virtuals Protocol generates over $1 million in daily fees, though this is 50% less than figures for early December. Despite these challenges, the VIRTUAL token has more than doubled in value, reaching a market capitalization of $4.6 billion.

Other highlighted opportunities include Zerebro, which is pivoting to a full-stack framework for AI agents; ARC, with its Rust-based framework; and 

 (GRIFFAIN), a natural language on-chain search tool. These projects are well-positioned for future growth in the evolving landscape of AI technology.

 as we delve into leading AI agent tokens and the past week’s market movements. 

Advanced

Bybit Institutional_Weekly Poster.png

Weekly Institutional Insights: Market Snaps Five-Day Loss Streak; AI Agent Spring Coming

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.

December's end-of-year options expiration brought an unexpected drop as realized volatility fell to the lowest levels of the month. Perpetual swap open interest remained stable, indicating these markets weren't heavily used for hedging against expired options, likely contributing to the muted volatility. 

While most expired open interest in Bitcoin (BTC) and Ethereum (ETH) hasn't been reinvested, the balance of calls and puts remains consistent. Notably, ETH options are pricing in higher implied volatility as compared to BTC, particularly for shorter expirations, leading to a flat term structure for ETH, while BTC is offering cheaper options exposure.

In the perpetual markets, low volatility and minimal spot movements have led funding rates for nearly all tokens to mirror broader market sentiment throughout the holiday season. On the options side, BTC's term structure is noticeably lower and steeper than ETH's, with realized volatility now dipping below implied volatility levels, highlighting an intriguing shift in market dynamics.

Please check out the report’s highlights.

Open Interest Solid Amid Year-End Options Expiration

Although open interest for both BTC and ETH perpetual swaps hasn’t returned to early December 2024 highs, it remained robust throughout the significant end-of-year options expiration event. This suggests that these markets weren’t heavily utilized to 

 of the expiring options contracts, likely contributing to the lack of volatility observed during this period. Instead, trading volumes have dipped noticeably during the winter holiday season, coinciding with a collapse in realized volatility back to December 2024’s lowest levels.

BTC Option Curve Remains Steep During Call-Put Parity

The expiration of December's end-of-year options didn’t trigger the anticipated surge in volatility; instead, realized volatility has plummeted to the lower end of its recent range. The implied volatility term structure remains steep compared to both its recent behavior and ETH's, with longer-dated implied volatility around 57%, and 1-week at-the-money options trading about five points lower. Much of the expired open interest hasn’t yet been rolled into new positions, maintaining a neutral balance between puts and calls. Consequently, BTC's options market positioning is relatively neutral, lacking the leverage it had at the start of December 2024.

Huge ETH Option Expiring Doesn’t Cause Volatility

A late December spike in realized volatility didn’t carry into the new year, with ETH’s spot price currently exhibiting volatility below that of short-tenor implied volatility. Interestingly, the implied volatility term structure has undergone a steepening and re-flattening over the past week, contrasting with BTC’s slightly steeper profile. This suggests that ETH’s options market is anticipating higher short-term volatility in spot price movements. 

Despite the significant expiration of options open interest at the end of December 2024, which didn’t lead to a rollover into later expirations, call options continue to dominate the market and have increased at the start of 2025.

block-scholes-x-bybit-report.jpeg

Bybit X Block Scholes Crypto Derivatives Analytics Report (Jan 2, 2025): BTC Options Continue to See Call-Put Parity, With Lower Short-Term Volatility Expected

Dive into FLock, a decentralized platform that revolutionizes the way AI models are developed, trained and deployed.

Artificial intelligence (AI) is poised to transform countless industries, but its development often raises questions about privacy, control and inclusivity. 

 is a unique decentralized platform that democratizes AI training, fine-tuning and inferencing. With its blockchain-powered infrastructure, FLock ensures transparency, security and community-driven decision-making, paving the way for AI models that align with established societal values. 

In this article, we’ll explore how FLock decentralizes AI training, its key features and its potential impact on developers, communities and users.

 platform that revolutionizes the way AI models are developed, trained and deployed. By leveraging blockchain technology and a novel approach called 

, FLock addresses critical issues in AI development, such as centralized control, lack of transparency and privacy concerns.

At its core, FLock’s mission is to democratize AI by enabling communities to participate directly in the creation and refinement of AI models. Through federated learning, FLock trains AI models across multiple decentralized devices or servers. This method ensures that data remains local, eliminating the need for raw data exchange while still enabling robust model training. By decentralizing the training process, FLock not only protects individual privacy, but also fosters a more inclusive ecosystem in which diverse contributors can collaborate.

What sets FLock apart is its integration of 

. This ensures that all contributions — whether data, compute power or feedback — are transparently recorded and fairly rewarded. Blockchain tech’s immutable ledger enhances trust among participants and safeguards the process against manipulation. Additionally, the platform’s on-chain incentive mechanisms encourage participation from a wide range of contributors, ensuring that rewards are distributed equitably.

Ultimately, FLock empowers communities to develop bespoke AI models tailored to their specific needs. By decentralizing the process and prioritizing transparency and collaboration, FLock breaks the monopoly of large corporations, creating an AI ecosystem that aligns with public ethics and societal values.

, an Oxford alumnus with a robust background in AI and blockchain technology. Sun, who serves as FLock's CEO, has an impressive career trajectory, having worked as the Director of AI for the Royal Bank of Canada and as an AI Research Fellow at Imperial College London. His vision for FLock stems from a deep understanding of both the technical and ethical challenges of AI development.

The founding team also includes other Oxford alumni, boasting over a decade of combined experience in AI research and the cryptocurrency industry. This team brings a collective blend of academic excellence and practical expertise that positions FLock to lead the decentralized AI movement.

FLock has successfully raised $11 million in funding across two rounds, reflecting strong investor confidence in its vision. In May 2024, FLock secured a $6 million seed round co-led by Lightspeed Faction and Tagus Capital, with additional backing from Digital Currency Group (DCG), Volt Capital, OKX Ventures and Inception Capital.

Later, in December 2024, FLock announced a $3 million successful funding round led by DCG and joined by prominent names like Animoca Brands, Fenbushi Capital, GnosisVC and GSR. These investments are being channelled into enhancing the platform’s testnet and federated learning client, accelerating FLock’s mission of enabling secure, collaborative AI development.

With this funding and over 1,500 nodes contributing from platforms like Numerai and Kaggle, FLock is rapidly scaling its impact on decentralized AI training.

FLock AI revolutionizes AI development through its decentralized training framework. This approach allows participants to contribute to AI model training without ever sharing their personal data. Instead, models are trained locally across devices using federated learning, which ensures that data remains with its owners while still enhancing the accuracy of the model overall. 

FLock’s reward system is designed to incentivize active participation. Contributors who provide data, computational power and/or feedback are compensated with FLOCK tokens, ensuring a fair distribution of rewards. 

FLock empowers its community through a robust governance framework. Decisions regarding AI model development, deployment and ethical considerations are driven by the community, ensuring alignment with established societal values. Through blockchain-based voting mechanisms, contributors can influence the direction of AI projects, fostering transparency and public accountability. 

FLock’s modular architecture allows contributors to participate in specific aspects of AI model development. Whether providing raw data or computational power or even refining algorithms, the platform enables a collaborative and scalable development process. 

At the core of FLock’s philosophy is its commitment to privacy and security. By leveraging blockchain technology, the platform ensures that no single entity controls the AI development process. Data remains local and protected by cryptographic measures, while the immutability of blockchain guarantees transparency in every transaction and model update. 

 begins with a blockchain and an AI layer.

The blockchain layer underpins FLock’s incentivization and security mechanisms.

The AI layer facilitates model training, refinement and deployment, leveraging both centralized and federated approaches.

Let’s have a look at the supply and demand for the FLOCK token.

FLock adopts a 1:2 ratio model between team/investors (33.3%) and community (66.7%), prioritizing community-driven growth and ecosystem expansion. The majority of tokens are allocated to incentivize user participation and long-term ecosystem success.

FLock aims to improve the future of AI development by decentralizing the training process and ensuring transparency, privacy and inclusivity. By leveraging blockchain and federated learning, FLock empowers communities to contribute to AI creation without compromising on privacy. Its innovative reward system and community-driven governance foster a fair and collaborative ecosystem. 

With significant backing and a growing network of contributors, FLock is positioning itself as a leader in decentralized AI, offering a more ethical and secure alternative to traditional AI development models. As it continues to scale, FLock is set to transform the way AI models are built and deployed.

 — and earn a share of a 10 million FLOCK prize pool. For more details, visit 

Intermediate

flock.png

FLock AI: Decentralized AI Training

In this tutorial, we’ll explore how you can complete a series of tasks in Network3 for Bybit Web3 Airdrop Arcade.

Task 1: Register for a Network3 Account and Connect Your Bybit Wallet 

: Navigate to the campaign page and click on the 

task. Click on the task, and Galxe will ask to redirect you to the Network3 register page.

: Register for a Network3 account using your email address. You may indicate a 

Task 2: Download the Network3 App and Run a Node for One Hour

 and choose your operating system to download the Network3 app.

 or powerbutton, depending upon which operating system you’re using. For ease of reference, we’ve used macOS and iOS as examples below.

: Keep running the node until the timer reaches 

Beginner

network3 tutorial.png

How to Complete Network3 Tasks for Bybit Web3 Airdrop Arcade

Bybit Learn

web3

Kaito is an AI-powered search engine specifically designed for the cryptocurrency space. Find out more now!

EN_2409-T35020_Learn_Read_to_Earn_728x90.png

Skinny_Banner-1600x400.webp

Within a year of its launch, Kaito has already established itself as a key player in the web3 industry. Its innovative approach combines artificial intelligence with publicly available crypto conversation data, creating a tool that can present an up-to-date picture of the events affecting the cryptocurrency space at any given time.

 is an AI-powered search engine specifically designed for the cryptocurrency space. It’s a premium service with a monthly subscription of $1,099. The platform indexes thousands of 

 sources that aren’t accessible through traditional search engines, and gathers data from Twitter, Discord, governance forums, research papers, news articles, podcasts and even conference transcripts. 

Kaito uses advanced AI algorithms and natural language processing to better understand context and gauge sentiment about topics. Its use of AI and an internal algorithm allows Kaito to filter out the noise, presenting a more accurate picture of community sentiment. 

. Before moving to web3, Hu worked in the traditional finance space for over eight years, including the management of a $500 million equities portfolio at Citadel. His aim with Kaito is to democratize web3 information by giving users access to tools and insights they need to navigate this ever-changing industry. 

Kaito has quickly attracted significant investment from major 

 in the industry. The project has already raised $10.8 million across two funding rounds.

The seed round in August 2023 was led by Dragonfly Capital, with participation from Sequoia Capital China, Jane Street and others, as Kaito secured $5.3 million. This was followed by a Series A round in June 2023, led by Superscrypt and Spartan, raising an additional $5.5 million with a valuation of $87.5 million. Other notable investors include Mirana Ventures, Folius Ventures and Alpha Lab Capital. 

Kaito offers a range of features designed to provide users with comprehensive and actionable insights. They include the following:

: Kaito’s platform uses a custom-built large language model (LLM) in combination with real-time data gathered from various sources to provide users with actionable insights on developments in the web3 space. 

:As a web3-native company, Kaito can analyze and understand the nuances of 

 and concepts. This gives it an edge when compared to Web 2.0 search engines that struggle to understand this space. 

: Kaito tracks market sentiment at various levels, including general market sentiment, sector-specific sentiment and sentiment toward specific tokens and projects, providing investors and traders with an important metric in assessing a project’s value.

Kaito uses a custom LLM to enhance its data processing capabilities. The platform aggregates data continuously from various sources, including social media, forums and news websites. This data is then processed using Kaito’s natural language processing capability to identify relevant information, extract key insights and analyze market sentiment. 

In addition, its platform uses a reputation system to give weightage to different posts based on the reputation of each poster. It also employs sophisticated algorithms to filter out spam and bots that often try to shape public opinion on social media platforms, especially on X. 

In December 2024, Kaito AI introduced two new elements to its ecosystem: 

 collection. Yaps is a scoring system that measures user contribution and engagement within the web3 community. Users earn 

 by creating valuable content, engaging with others in the crypto space and participating in discussions on 

. Kaito uses four main attributes in allotting these points:

The system also automatically filters out spam posts, making sure only real posters and useful posts can earn Yap points. While Kaito hasn’t officially confirmed a token airdrop associated with Yaps, the program allows participants to accumulate points that might play a role in future rewards, or initiatives within the Kaito AI ecosystem.

Participation in the Yaps program is completely free. Users just need to log in with their Crypto Twitter accounts and Kaito will start tracking their Yaps scores automatically. 

Genesis NFTis a limited-edition collection of 1,500 

 launched by Kaito AI. Priced at 0.1 ETH each, these NFTs have been minted in three phases:

As of Dec 26, 2024, NFTs in the collection are tradable on OpenSea, with a floor price of approximately 3.69 ETH. 

Kaito is a new and innovative service in the web3 space. Its use of AI to cut through the noise and fragmentation presents a great opportunity for the entire ecosystem. Kaito’s 

 suggests that it’s likely to roll out new features and/or services in the future. While the high subscription fee may be an obstacle for large-scale adoption, Kaito is still likely to become an important tool in the hands of institutions and 

Kaito: AI-Powered Web3 Search Engine

Grab Up to 5,000 USDT in Rewards

Grab Up to 5,000 USDT in Rewards