# Сопутствующие статьи по теме Data

Новостной центр HTX предлагает последние статьи и углубленный анализ по "Data", охватывающие рыночные тренды, новости проектов, развитие технологий и политику регулирования в криптоиндустрии.

Stablecoin USDT Tycoon's Shopping Cart Includes a Mattress

Tether, the issuer of the world's largest stablecoin USDT, has invested $50 million in Eight Sleep, a luxury smart mattress company. This move is part of a broader investment strategy driven by CEO Paolo Ardoino's vision of human sovereignty over data and the body. Ardoino, a cryptographer and Bitcoin advocate, believes in building technology for a potential societal collapse, emphasizing individual control over communication, health data, and physical well-being. His investments include Holepunch for decentralized P2P communication, QVAC for encrypted health data storage, and Blackrock Neurotech for brain-computer interfaces. However, this idealistic vision contrasts with USDT's real-world usage. While it provides financial access in unstable economies, it is also used for sanctions evasion, money laundering, and illicit activities. Tether, with $100 billion in annual profits, operates without full transparency or independent audits, requiring users to trust its reserves. Ultimately, Tether's investments reflect Ardoino's personal philosophy: using immense profits to build a decentralized future, albeit with unresolved contradictions between its idealistic goals and the opaque reality of its financial operations.

marsbit03/05 05:15

Stablecoin USDT Tycoon's Shopping Cart Includes a Mattress

marsbit03/05 05:15

Hot Interaction Collection | Perle Labs New Q&A Task; Perceptron Network Idle Earnings (March 4th)

This article introduces three interactive platforms offering tasks and airdrop opportunities: Perle Labs, Perceptron Network, and InventMoney. Perle Labs is an AI training data platform powered by human experts, with $17.5M in funding. Users connect a Solana wallet, complete marketplace tasks, and answer questions on X (Twitter) to qualify for an NFT airdrop. Submissions close on March 8. Perceptron Network is a decentralized AI data network. Users download a Chrome extension, register with an email, and earn points by leaving the background service running. InventMoney is a Web3 fintech super-app for online earners, with $4M in pre-seed funding. Users register via email, complete profile setup, and perform missions to earn token points.

Odaily星球日报03/04 08:27

Hot Interaction Collection | Perle Labs New Q&A Task; Perceptron Network Idle Earnings (March 4th)

Odaily星球日报03/04 08:27

How to Systematically Track High-Winning-Rate Addresses on Polymarket?

How to Systematically Track High-Win-Rate Wallets on Polymarket This article explores methods to identify and track high-performing wallets on Polymarket, a blockchain-based prediction market where all transactions are publicly recorded on-chain. While the platform's data is transparent, the key challenge lies in interpreting this data to find wallets that consistently demonstrate an informational edge. The piece outlines common characteristics of potentially "insider" wallets, which are not necessarily illegal but show patterns of highly informed trading. These include: new addresses making large, concentrated bets; wallets specializing in a single niche topic; sudden, significant increases in position size; and extremely precise timing, repeatedly entering positions hours before major public news breaks. A three-step methodology for systematically identifying these wallets is provided: 1. Analyze Polymarket's leaderboard to filter for addresses with sustained profitability over 30 days, a high win rate (>55%), and significant profits in liquid markets. 2. Drill down into specific event markets to examine the top holders, looking for wallets that consistently hold large positions before the market has fully priced in an outcome. 3. Conduct a detailed analysis of the candidate wallets' on-chain history, focusing on their entry timing (pre-news vs. post-news), position-building strategy (rapid vs. gradual), holding period, and trading focus (specialized vs. generalized). The article concludes with advanced tracking strategies, emphasizing the importance of monitoring exit behavior (e.g., large sell-offs before bad news), performing cluster analysis to find linked addresses, watching for unusual volume in niche markets, and cross-referencing on-chain activity with real-world signals for stronger validation. The ultimate goal is to move beyond simple betting and use public on-chain data to find and learn from the most successful traders.

Odaily星球日报03/02 08:56

How to Systematically Track High-Winning-Rate Addresses on Polymarket?

Odaily星球日报03/02 08:56

Data Modeling: How to Improve the Quality of Interaction on Polymarket?

Polymarket, a leading prediction market platform, is anticipated to have one of the largest airdrops in the sector. This analysis provides a data-driven strategy to optimize user interactions for potential rewards. A critical finding is that public dashboards often double-count trading volume by including both sides of a trade. The true, single-sided figure is likely half of what is displayed, which will be the metric Polymarket uses internally. User distribution data reveals extreme concentration: only 0.51% of addresses profited over $1,000, and a mere 1.74% traded over $50,000. Crucially, 79% of traders have never earned even $1 in liquidity provider (LP) rewards, making LP activity a currently undervalued and highly capital-efficient interaction. Historical airdrop precedents suggest rewards will be based on active behavior—not profitability—to avoid favoring insiders. A multi-dimensional model is predicted, likely featuring: * 40% weight on trade volume (using a square root compression formula to limit whale dominance). * 35% weight on LP rewards. * 15% weight on market diversity (number of distinct markets traded in). * 10% weight on longevity (months active). The analysis advises users to accumulate genuine, on-chain provable volume across diverse markets, hold positions for 1-24 hours, and, most importantly, begin providing liquidity to accumulate LP rewards, which are a strong anti-Sybil signal. A hard cap per address is also expected to prevent excessive concentration of the airdrop.

Odaily星球日报02/22 10:57

Data Modeling: How to Improve the Quality of Interaction on Polymarket?

Odaily星球日报02/22 10:57

How to Earn $300,000 a Year by Counting Musk's Tweets?

An anonymous trader known as "noovd" has reportedly earned over $345,000 in profit since July 2024 by accurately predicting the number of tweets Elon Musk would post each week on the prediction market Polymarket. The user placed 1,281 bets, with the largest single win exceeding $136,000. Noovd’s strategy focused exclusively on betting "Yes" on narrow, often undervalued tweet-count ranges (e.g., 260–279 or 420–439 tweets per week), which were typically priced as low as 2–24 cents due to market underestimation. Using a proprietary quantitative model trained on Musk’s tweet data since 2022, noovd identified mispriced probabilities—often realizing 8–20x expected value advantages. Key to the model’s success was incorporating variables like day-of-week patterns, real-world events (e.g., SpaceX launches, Tesla earnings), and mid-week recalculations to narrow the probable outcome range. The trader’s high-conviction, concentrated bets—often risking thousands per position—allowed for outsized returns, such as a 4,311% gain on a $1,569 bet. Noovd’s edge stemmed from deep data analysis, disciplined execution, and exploiting persistent market inefficiencies. The case illustrates how specialized expertise in a narrow domain can yield significant returns, emphasizing data over intuition in prediction markets.

比推02/21 14:56

How to Earn $300,000 a Year by Counting Musk's Tweets?

比推02/21 14:56

Analysis Report on Prediction Markets for the Russia-Ukraine War

As global tensions rise due to events like the Russia-Ukraine war, the Gaza conflict, and other geopolitical risks, the demand for open-source intelligence (OSINT) has grown significantly. This report analyzes the predictive market, particularly Polymarket, as a form of OSINT that leverages public data to forecast outcomes. Initially serving blockchain users, Polymarket gained mainstream attention during the 2024 U.S. presidential election by accurately predicting Trump’s victory with 65% probability a week before results were official, reaching 90% on election night—outperforming traditional polls and media. With $3.686 billion in trading volume, the event shifted perceptions of predictive markets from mere gambling to a credible data source. The core value lies not in betting itself, but in the informational edge it provides, allowing insiders to signal outcomes—from entertainment awards to geopolitical events—through market activity. This transforms traditional information flow, enabling early insight into everything from business decisions to military movements, making market prices a powerful real-time signal.

marsbit02/14 04:19

Analysis Report on Prediction Markets for the Russia-Ukraine War

marsbit02/14 04:19

RootData Transparency Bounty Activities Report for Rounds 3 and 4

RootData Transparency Bounty Program Reports for Rounds 3 and 4 From January 30 to February 8, 2026, RootData, a Web3 asset data platform, conducted its third and fourth transparency bounty programs. The initiatives focused on due diligence around recently listed projects on major exchanges, covering key financial metrics such as funding structure, team background, token unlocks, and major timelines. The programs reviewed two main categories: Binance-listed projects from the past year and projects listed on major exchanges in 2026. Over 160 users participated, contributing to 190 tag optimizations, 364 token unlock data updates, 235 key calendar entries, and 396 general information improvements. Notably, the overall approval rate was below 30%, reflecting structural challenges in Web3 project transparency. Common issues included incomplete unlock schedules, denial of historical documentation by official sources, complex inflationary token models, and unverified AI-generated content. To date, RootData has hosted four rounds of bounty programs, covering 526 unique projects. Some, like River and Audiera, were repeatedly submitted, showing sustained community interest and gradual transparency improvement. RootData emphasizes that transparency is an ongoing process rather than a one-time goal. The platform remains committed to factual, neutral, and third-party validated data disclosure, avoiding value judgments. It aims to enhance Web3's data infrastructure through community-driven verification and open bounty mechanisms.

marsbit02/12 08:25

RootData Transparency Bounty Activities Report for Rounds 3 and 4

marsbit02/12 08:25

Human API Launches Platform Enabling Direct AI-to-Human Task Coordination

Human API has launched a first-of-its-kind platform that enables AI agents to directly assign tasks to humans, addressing the "last mile" problem in AI operations where agents struggle with real-world interactions. The platform serves as an execution and coordination layer, allowing human contributors to accept and complete tasks such as voice recordings, with payments processed via Stripe Connect. This provides AI agents and businesses with programmatic access to high-quality, human-generated data. Initially focused on voice data licensing, the platform aims to expand into other data types and real-world tasks. Backed by $65 million in funding from investors like Placeholder and Polychain, Human API aims to create an agent-native ecosystem where humans are compensated collaborators, bridging the gap between AI capabilities and human judgment.

TheNewsCrypto02/11 22:56

Human API Launches Platform Enabling Direct AI-to-Human Task Coordination

TheNewsCrypto02/11 22:56

Story Protocol Delays Token Unlock to August as Team Focuses on Long-Term Growth

Story Protocol, a project focused on tokenizing media and creative content, has delayed its first major token unlock by six months to August. According to co-founder S.Y. Lee, the move prevents insiders from selling tokens and gives the project more time to build real usage before new supply enters the market. Lee addressed investor concerns over the network’s current lack of fee revenue, explaining that Story is not a typical trading platform. Instead, it aims to generate revenue through business licensing agreements, particularly with AI companies, by providing legally compliant data such as voice, video, and human-made content. The decision to postpone the token unlock is intended to avoid selling pressure and allow more time to develop data markets and attract AI firms. Lee cited Worldcoin’s similar strategy as a positive precedent.

TheNewsCrypto02/09 11:41

Story Protocol Delays Token Unlock to August as Team Focuses on Long-Term Growth

TheNewsCrypto02/09 11:41

The 15-Minute Win-Lose Game: A Million Transaction Records Unveil the 'Folded World' of Bitcoin Prediction Markets

A data analysis of Bitcoin's 15-minute price prediction markets reveals a stark reality dominated by algorithmic trading bots. Over a three-day period encompassing 291 markets, 1.05 million transactions totaling $17 million were recorded. While 17,254 unique addresses participated, the vast majority were retail users treating it like a "lottery," with an almost even split between winners and losers. The key finding is the market's domination by a tiny minority: just 247 algorithm-driven addresses (3.6% of users) executed over 60% of all trades. These bots generated a collective profit of approximately $284,000, while human traders, overall, lost $154,000. Bots also boasted a significantly higher win rate of 65.5% compared to 51.5% for humans. The analysis further debunked the assumption that pure speed guarantees success. The most profitable bot, which earned $54,531, had a high win rate of 72% but was selective, participating in 61% of markets. In contrast, hyper-frequency bots trading over 50 times per hour often had negative returns due to gas fees and intense competition. For human traders, the data suggests a path to success lies in low-frequency, high-conviction trading, where the win rate can reach 55%. However, humans consistently fail at risk management, often holding onto losing positions too long and exiting winners too early, leading to a poor risk-reward ratio. The market is ultimately a hierarchy: top algorithms harvest inferior bots, which in turn harvest undisciplined human traders.

marsbit02/05 06:38

The 15-Minute Win-Lose Game: A Million Transaction Records Unveil the 'Folded World' of Bitcoin Prediction Markets