Topics of Crypto World

From strategy design to execution, Crypto Skills allow traders to build complete trading systems through modular components, emerging as a key tool for enabling automated trading.

Crypto APIs and Crypto Skills represent two distinct approaches to functionality in the crypto industry. The former focuses on providing low-level, atomic interface calls, while the latter emphasizes modular capability packaging designed for AI Agents.

PRL is the native token of the Perle network, designed to power and coordinate the “human participation layer” within the AI data economy. Unlike general purpose tokens used mainly for payments or staking, PRL focuses on building a sustainable system of incentives and governance among data contributors, enterprise users, and ecosystem participants. Its goal is to drive the production, validation, and circulation of high quality human annotated data.

Render, io.net, and Akash are not simply competing in the same market. They are three distinct project archetypes within the DePIN compute sector, each evolving along a different technical path. Render focuses on high-quality GPU rendering with an emphasis on result verification and creator economics; io.net aggregates AI compute power, with its core strengths in large-scale GPU coordination and cost efficiency; while Akash builds a general-purpose decentralized cloud marketplace, offering low-cost compute resources through a competitive bidding mechanism.

Gate Skills Hub is a crypto skill management and distribution platform within the Gate AI ecosystem. It connects AI agents with blockchain data, trading capabilities, and automated strategies, enabling them to execute complex Web3 tasks and operate autonomously. Through standardized skill interfaces and modular design, Gate Skills Hub allows AI agents to invoke different types of on-chain and market capabilities, making it possible to build more scalable intelligent systems.

Gate Skills Hub is a skill invocation and execution platform within the Gate AI ecosystem. It connects AI Agents with on-chain data, trading capabilities, and automated task systems. Through modular skill architecture, it packages different functions into callable capabilities, enabling AI Agents to execute complex Web3 tasks and build automated workflows.

Gate Skills Hub is a crypto skill management platform within the Gate AI ecosystem. It organizes capabilities such as trading operations, on-chain interactions, data analysis, and automated scheduling into distinct skill types, forming a structured and modular system.

Unlike platforms built exclusively for AI computing, Render's core advantage lies in its GPU network, task verification mechanism, and the RENDER token incentive model. This gives it a natural adaptability and flexibility in certain AI use cases, particularly those related to graphics-based computation.

Compared with traditional platforms like Scale AI and Appen, the core significance of Perle lies in its attempt to address the “data black box” problem and incentive misalignment in the AI data market. In the traditional model, platforms capture most of the value. Under Web3 architecture, however, data contributors can earn long-term, sustainable rewards through an on-chain reputation and token incentives, helping to reshape the underlying dynamics of data production.

AI Agent Skills are becoming a key layer of intelligence infrastructure in the crypto industry. From data analysis to automated execution, these modular capabilities not only improve decision-making efficiency but also accelerate the automation of trading and on-chain operations.

Gate Research Daily Report: On November 14, after a period of volatile decline, BTC found short-term support near $98,000; ETH showed signs of a short-term rebound; GT stabilized with support around $10.9 and began to recover; while LUMINT became the market spotlight with a surge of over 670%. The first XRP spot ETF, launched by Canary Capital, began trading on Nasdaq; the Czech National Bank made its first-ever Bitcoin purchase, establishing a $1 million digital asset pilot portfolio; and Emory University doubled its Bitcoin holdings, investing $52 million to increase its stake in the Grayscale BTC ETF.

Gate Research Daily Report: On November 21, BTC extended its downward trajectory after a period of volatile decline, showing a clear accelerating pullback pattern. Mirroring this trend, ETH also followed a similarly sharp correction. Meanwhile, TNSR became a market standout with a surge of more than 220%. FG Nexus sold over 10,000 ETH to raise funds for a stock buyback aimed at supporting its share price, while Tether announced an investment in Parfin to accelerate institutional adoption of USDT across Latin America. The Fear and Greed Index dropped to 15, signaling that overall market sentiment has returned to extreme fear.

BTC and ETH continue to trade in a weak, choppy structure, with prices trending lower and rebounds lacking strength. Volatility has spiked multiple times, reflecting fragile sentiment. On the derivatives side, leverage has not returned after a major deleveraging event, with open interest remaining at low levels. The concentrated long liquidations in early November further indicate declining confidence, suggesting that short-term downside risks remain. From a quantitative strategy perspective, the moving-average trend-breakout model has delivered strong performance in assets such as XRP, DOGE, and ADA, though it may still face signal delays and stop-loss whipsaws during strong one-sided trends. In contrast, the Gate Quant Fund employs a market-neutral arbitrage and hedging framework, emphasizing stable returns and risk control, offering investors a lower-volatility and more sustainable long-term allocation option.

On the evening of November 20, Gate Founder and CEO Dr. Han delivered a keynote address at the Gate Europe Exclusive VIP Dinner in Malta, sharing the platform’s global strategic roadmap and insights into industry development. In his speech, Dr. Han reviewed Gate’s evolution since its founding in 2013 and explained how the company has built a worldwide crypto ecosystem guided by its three core principles: transparency, security, and compliance, while offering an in-depth outlook on future growth.

This report systematically examines the development trends and competitive landscape of prediction markets, with a focus on Polymarket’s ecosystem strategy centered on Builder Codes. It highlights that Polymarket is transforming prediction markets from a single platform into decentralized infrastructure by opening liquidity and developer networks, creating a “Prediction-as-a-Service” system embeddable in any scenario. The report also dissects Polymarket’s four-layer ecosystem structure, revealing that third-party Builders account for less than 3% of total platform trading volume but hold tenfold growth potential.