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.

Advanced

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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

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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

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How to Complete Network3 Tasks for Bybit Web3 Airdrop Arcade

Bybit launched the Bybit Merch Creative Challenge for university students worldwide, offering a $50,000 USDT prize pool.

The S&P 500 dropped 0.22% on Thursday, its fifth straight decline, with investors eyeing Friday’s economic updates. Coindesk Indices, an index measuring broader cryptocurrency market performance was up by 2.03%, with Bitcoin and Ether rising by 2.79% and 2.70%, respectively in the past 24 hours.

Today's top performer is XRP, which surged 1.9% following a rise in price driven by increased open interest and positive market sentiment.

Ripple (XRP), launched in August 2012, is a blockchain technology company focused on improving international payments with its cryptocurrency, XRP. XRP price surged due to increased open interest, a major XRP transfer, and market sentiment linked to Trump's inauguration. Bullish momentum is supported by high short liquidations, with key resistance levels to watch for further price movement.

Check Out the Latest Prices, Charts, and Data of 

 for university students worldwide, offering a $50,000 USDT prize pool. Participants can design exclusive Bybit merchandise, with submissions open until Jan. 15, 2025. Winners will be announced on Feb. 1, 2025, across four prize categories.

Yesterday, Bitcoin Spot ETFs recorded a total inflow of $84.8M, driven by $107.9M from non-GBTC funds, partially offset by a $23.1M outflow from GBTC.

, offering an airdrop for participants who complete tasks like swapping and bridging using the Mango wallet. Points earned through tasks determine airdrop rewards. Join via the Mango wallet and follow steps on the testnet dashboard.

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Bybit Launches $50,000 Merch Design Challenge for University Students Worldwide

Bybit Learn

web3

Explainers

Altcoins

Artificial Intelligence (AI)

Node AI is a decentralized platform that facilitates the lending and renting of GPU resources to advance artificial intelligence (AI) projects.

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Artificial intelligence (AI) has experienced unprecedented growth in recent years. The 

 to provide crypto users with innovative ways to tap into the market. As this AI growth continues to snowball, there's increased demand for 

Unfortunately, most available processing power is expensive and highly centralized, with companies like NVIDIA calling the shots. As such, developers and micro-AI enthusiasts have often shelved their ideas due to the inaccessibility of GPU resources.

Considering these challenges, we examine Node AI, a crypto project that provides GPU resources through decentralized 

Node AI is an innovative decentralized platform that leverages the power of blockchain technology to provide a transparent and secure environment in which developers, businesses and other users can access GPU and AI resources affordably and efficiently.

With Node AI’s robust platform, endless possibilities cut across multiple sectors. From renting out AI nodes to 

 GPU tokens (thus earning from the Node AI ecosystem), crypto enthusiasts can tap into this innovative AI-focused platform in order to gain access to this blossoming niche.

Some of Node AI’s use cases are as follows:

At the heart of Node AI’s ecosystem is its GPU token, which facilitates transactions and incentivizes various activities on the platform.

Node AI’s innovative and robust technical architecture is designed to provide users with unparalleled AI-powered services for their projects.

First, Node AI has an advanced GPU farm with state-of-the-art GPUs designed to meet high-demand computing tasks. Its software is designed for optimized GPU processing in a customized environment. The network also features a robust API and SDK, which provide developers with efficient tools to interact directly with the platform. 

Node AI is powered by a decentralized node network on which you can safely host or rent a node. To host a node, your GPU needs to be in a qualified data center. You then proceed to apply to the team. If successful, you can set your desired price to maximize your earnings from your idle hardware.

Renting a node on Node AI is 80% cheaper than the market rate. The renting process is straightforward: simply browse the available GPUs, look at the metrics, find the one that suits your needs (which could range from machine learning to deep learning) and start earning.

Node AI utilizes a comprehensive reputation and reward system that incentivizes its GPU node providers to ensure high-quality service in the ecosystem. Each node is subjected to performance tracking, whereby metrics such as a node’s uptime, task completion rate and user feedback are thoroughly assessed to gauge reliability. Nodes are assigned reputation scores based on their performances, with higher scores receiving more rewards.

Node AI's reputation-based dynamic pricing model allows nodes that consistently score high in reputation to set higher rental rates. Node providers may receive rewards — such as Ether and platform credits — for consistently maintaining a good reputation, which in turn helps maintain the system at optimal performance capacity.

As a decentralized node service provider, Node AI’s key features include the following:

 is the native token for the Node AI ecosystem. It’s used for staking to earn rewards, incentivizing node providers and renting a node on the network. Buying and selling GPU attracts a 4% tax, of which 2% goes to GPU expansion and maintenance, 1% is used for marketing and the remaining 1% goes to the revenue-sharing pool.

GPU has a total supply of 100 million tokens. The revenue-sharing percentage is as shown below:

, which provides a secure and optimized trading experience through i-SMART technology. You’ll need to connect your 

 and have some ETH to trade. Next, proceed to the Bybit Web3 trading page and enter the amount in ETH that you want to spend to receive an equivalent amount of GPU tokens.

As of Aug 1, 2024, the price of the Node AI crypto token (GPU) was $1.05, a 63.2% drop from its ATH of $2.85 on Apr 2, 2024 and an increase of over 2,800% from its ATL of $0.037 on Feb 22, 2024.

According to DigitalCoinPrice, GPU's price 

 a maximum of $2.68 in 2025 and gradually increase to a high of $7.72 by 2030. Another crypto prediction platform, Changelly, holds an 

 outlook on GPU, expecting it to reach a high of $2.58 in 2025 and surge to $17.01 by 2030.

While these price predictions are bullish, they don’t guarantee the future price of GPU. We highly recommend you 

 before investing in the Node AI crypto token or any other cryptocurrency.

The AI domain continues to expand rapidly, making an innovative project such as Node AI one to watch. Anyone with idle GPU resources can lend them out for passive income in a transparent and secure ecosystem, while AI enthusiasts can rent resources to help meet the computational power requirements of their AI applications and machine learning projects.

Node AI (GPU): Streamlined Access to GPU and AI Resources for All

Grab Up to 5,000 USDT in Rewards

Grab Up to 5,000 USDT in Rewards