# Сопутствующие статьи по теме Prediction

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

From Campus to Capital: BUPT Senior Secures 30 Million Investment in 10 Days

Based on the provided text, here is the English summary: Guo Hangjiang, a 20-year-old senior student at Beijing University of Posts and Telecommunications, developed an AI engine called MiroFish in just 10 days. The project, which generates thousands of unique digital agents with distinct personalities, memories, and behaviors to simulate and predict outcomes in virtual worlds, quickly gained massive attention. It topped GitHub's global trending chart, amassing over 22,000 stars. His work caught the eye of Chinese billionaire Chen Tianqiao, former founder of Shanda Group and an advocate of the "super individual" theory. Impressed by a simple demo video, Chen committed 30 million RMB (approximately $4.1 million USD) to incubate the project, transforming Guo from an intern into a CEO overnight. MiroFish's core functionality involves processing a document (e.g., news, policy draft, novel) to extract entities and relationships into a knowledge graph using GraphRAG. It then spawns autonomous AI agents that can form groups, develop opinions, and exhibit herd mentality. A key feature is the "God's Perspective," allowing users to inject new variables (e.g., "Fed cuts rates by 50 basis points") and observe the simulated world recalibrate in real-time, enabling controlled experiments impossible in reality. The open-source framework, released under AGPL-3.0, utilizes the OASIS simulation engine, Zep Cloud for long-term memory, and is deployable via Docker. Demonstrated use cases include predicting the lost ending of the classic novel "Dream of the Red Chamber" and simulating market reactions to a Federal Reserve interest rate hike. The article notes that while MiroFish is a sophisticated multi-agent framework capable of revealing unforeseen scenarios, it has not published benchmark tests against real-world outcomes, inherits potential biases, and its simulated humans are not real. Chen Tianqio's investment is ultimately a bet on the emerging era of the "super individual."

比推03/16 06:45

From Campus to Capital: BUPT Senior Secures 30 Million Investment in 10 Days

比推03/16 06:45

Why Entering Ozak AI Before the $1 Listing Price Could Capture the Full Early-Stage Upside

Ozak AI ($OZ) is an AI-powered intelligence platform that combines predictive analytics and real-time data aggregation to deliver actionable market insights for traders and developers. Unlike meme tokens, it focuses on utility, with the $OZ token used for premium analytics, staking, governance, and powering AI services. Key partnerships with SINT (autonomous agents) and Weblume (no-code Web3 development) enhance its functionality and adoption. The presale has raised over $6.4 million, with the token price rising from $0.001 in Phase 1 to $0.014 in Phase 7—a 1,300% increase. Early investors could see significant returns if the project reaches its $1 listing target, making the current presale phase an attractive entry point.

TheNewsCrypto03/15 17:55

Why Entering Ozak AI Before the $1 Listing Price Could Capture the Full Early-Stage Upside

TheNewsCrypto03/15 17:55

Hot Interaction Collection | xStocks Launches Points Program; Noise Waitlist Application (March 13)

Odaily Planet Daily presents a collection of trending interactive opportunities in crypto. xStocks, a tokenized stock platform by Backed Finance (acquired by Kraken), has launched its xPoints loyalty program. Users can connect their wallets and lock in a 20% early bird boost. The platform offers over 70 tokenized assets with $215M in AUM. Noise, an attention market platform for trading trends, is opening its waitlist. The Paradigm-backed project allows users to take long or short positions on internet trends. Users can join by submitting their email on the website. Linera, a Move-language L1 blockchain, is running its second campaign. Users can complete quests, join its Discord, and experience its prediction market by claiming free GMIC game tokens to bet on assets like BTC and ETH.

Odaily星球日报03/13 01:48

Hot Interaction Collection | xStocks Launches Points Program; Noise Waitlist Application (March 13)

Odaily星球日报03/13 01:48

$1 Million Per Bitcoin? Bitwise’s CIO Says It Is Not A “Moonboy” Prediction

Bitwise CIO Matt Hougan argues that Bitcoin reaching $1 million is a plausible, mathematically-grounded prediction rather than speculative hype. He bases this on the growth trajectory of the global store-of-value market, which includes assets like gold and real estate and is currently valued at $38 trillion. This market has compounded at 13% annually over 20 years and could reach $121 trillion in a decade. For Bitcoin to hit $1 million, it would need to capture 17% of that market, up from its current 4% share. Institutional adoption, evidenced by record inflows into Bitcoin ETFs and involvement from major funds, supports this momentum. However, the thesis depends on continued market growth and Bitcoin’s ability to gain market share.

bitcoinist03/13 01:01

$1 Million Per Bitcoin? Bitwise’s CIO Says It Is Not A “Moonboy” Prediction

bitcoinist03/13 01:01

This Analyst Correctly Predicted Bitcoin’s Recovery Will End Badly, But What’s Next?

Bitcoin's recent attempt to break above $73,000 has failed, with the price falling back below $70,000, confirming a technical analyst's earlier warning. The analyst, Ardi, argued that the breakout was destined to fail because the preceding 25-day consolidation period was too short to build a strong structural foundation against months of downward pressure. This brief accumulation phase was insufficient to absorb supply and support a sustained rally. Consequently, the failed breakout suggests Bitcoin's bearish structure remains intact. The analyst believes the cryptocurrency needs significantly more time, potentially several weeks, to consolidate between $60,000 and $70,000 and build a genuine accumulation base before a successful and sustained breakout can occur. With on-chain data indicating weak demand, any moves above resistance are viewed with caution as potential traps for another price decline. Bitcoin is currently trading near $69,500.

bitcoinist03/11 23:32

This Analyst Correctly Predicted Bitcoin’s Recovery Will End Badly, But What’s Next?

bitcoinist03/11 23:32

Pundit Reveals Why Bitcoin Is Headed For Another Crash To $42,000

Following Bitcoin's recent drop below $70,000, crypto analyst Xanrox predicts a further significant decline. The analysis suggests that Bitcoin is in a "free-fall mode" with brief bounces failing to sustain recovery. Key support at the $62,000 level, aligned with the 200-Weekly Moving Average and the 0.618 Fibonacci level, is expected to break. This could trigger a major crash, potentially driving the price down by approximately 40% to around $42,000. This level is significant due to a high concentration of whale stop-loss orders and its position below the previous Wave 4 bottom. The analyst anticipates this downward move to conclude by Q3 2026. Consequently, altcoins are also suffering, with a recovery in the altcoin market deemed unlikely as Bitcoin dominance continues to rise.

bitcoinist03/11 14:01

Pundit Reveals Why Bitcoin Is Headed For Another Crash To $42,000

bitcoinist03/11 14:01

Polymarket Arbitrage Bible: The Real Gap Lies in Mathematical Infrastructure

This article explores the mathematical infrastructure behind profitable arbitrage strategies on Polymarket, emphasizing that the key advantage lies not in speed alone but in advanced computational techniques. While manual traders might identify simple arbitrage opportunities (e.g., buying both YES and NO shares when their sum is less than $1), quantitative systems use integer programming to analyze complex logical dependencies across thousands of markets, avoiding brute-force enumeration of exponentially many outcomes. The core method involves: - Modeling price constraints via marginal polytopes. - Using Bregman projections (KL divergence) to compute optimal arbitrage trades, respecting the information-sensitive nature of probability-based pricing in LMSR (Logarithmic Market Scoring Rule) mechanisms. - Applying the Frank-Wolfe algorithm with integer programming solvers like Gurobi to efficiently approximate solutions without full enumeration. Execution challenges include non-atomic order execution in CLOBs, liquidity constraints, and VWAP-based slippage estimation. Real-world data shows $39.7M in extracted profits over one year, with the top arbitrageur earning over $2M. The gap between casual and professional trading is attributed to sophisticated math infrastructure, not luck.

marsbit03/11 05:09

Polymarket Arbitrage Bible: The Real Gap Lies in Mathematical Infrastructure

marsbit03/11 05:09

Odaily Exclusive Interview with Gate Founder Dr. Han: From TradFi Integration to Intelligent Web3, Redefining the Boundaries of Exchanges

In a recent interview with Odaily, Dr. Han, founder and CEO of Gate, discussed the exchange's strategic direction, market outlook, and integration of AI and Web3 technologies. He addressed the current perception of slowed innovation in crypto compared to booming sectors like AI, noting that market cycles are normal and AI development ultimately benefits the crypto industry. Gate is actively incorporating AI to enhance internal operations and user experience. Dr. Han envisions a future where a simple AI dialog box could replace traditional product interfaces, handling all user queries and tasks. This vision is part of the broader "Intelligent Web3" concept, which aims to use AI agents to help users navigate the complex and fast-growing crypto information landscape. The exchange's "All in Web3" strategy, formalized in 2025, builds on years of groundwork in decentralized infrastructure, culminating in products like the Gate Wallet. For 2026, Dr. Han highlighted key growth areas: crypto payments, Real World Assets (RWA), and decentralized exchanges (DEXs). Regarding competition from traditional finance, he views the entry of institutions like NYSE and Nasdaq into tokenized stocks as a positive development that brings more users and assets into crypto. Gate's own TradFi business, launched recently, has seen rapid growth, exceeding $95 billion in trading volume, and is designed to create a synergistic "two-way integration" ecosystem with its core crypto services. Dr. Han also discussed challenges, including managing a fully remote workforce and adapting to AI-driven efficiency gains. He defended Gate's high volume of token listings, emphasizing user choice and the provision of protective tools over acting as a gatekeeper. On compliance, Gate has made significant progress, securing licenses across numerous U.S. states, European countries, and other regions since starting its efforts in 2018. Future plans include expanding into new jurisdictions and obtaining additional licenses for payments and derivatives. A long-term goal involves pursuing public listings for its various global entities. The interview concluded with the announcement of GateClaw, an AI agent platform for crypto, representing a first step toward Dr. Han's vision of an AI-driven, interface-free user experience.

Odaily星球日报03/11 04:19

Odaily Exclusive Interview with Gate Founder Dr. Han: From TradFi Integration to Intelligent Web3, Redefining the Boundaries of Exchanges

Odaily星球日报03/11 04:19

Bitmine Secures 60,976 Ethereum In Volatile Condition, But Here’s How They Are Making Money

Despite ongoing market volatility, Bitmine Immersion Technologies has significantly increased its Ethereum holdings, purchasing an additional 60,976 ETH valued at over $122 million. The company now holds over 4.53 million ETH, representing 3.76% of the total supply. While paper losses exist due to ETH's price decline, Bitmine generates approximately $174 million annually from staking rewards alone, regardless of market conditions. This staking yield model distinguishes Ethereum from Bitcoin's treasury strategy, which relies solely on price appreciation. Meanwhile, market analysts observe that Ethereum's price chart mirrors Netflix's historical pattern before a major surge, suggesting a potential significant upward move for ETH in the future.

bitcoinist03/10 21:02

Bitmine Secures 60,976 Ethereum In Volatile Condition, But Here’s How They Are Making Money

bitcoinist03/10 21:02

Whale Already Holding Long Position Buys ETH, Price Spike?

A crypto whale has spent $21 million in USDT to purchase 10,158 ETH, while another whale withdrew 404.38 BTC from exchanges after a 9-month dormancy. These actions have sparked speculation about potential price increases. Both cryptocurrencies have shown recent gains, with BTC trading around $70,925 and ETH at $2,064. Technical indicators suggest a buy signal for BTC, while ETH shows mixed signals. Price projections are bullish: BTC may reach $78,840 in one month, and ETH is predicted to rise to $2,345.80 in 30 days and potentially $3,896.54 in three months. Investors are advised to conduct thorough research before investing.

TheNewsCrypto03/10 11:18

Whale Already Holding Long Position Buys ETH, Price Spike?