Threshold Network Token (T) падение

The Crypto Fear & Greed Index, a key indicator of investor market sentiment, has held steady at 35 points, reflecting a continued cautious market atmosphere. According to data from CoinMarketCap, the unchanged level signifies low investor risk appetite and an ongoing "fear" zone. The index ranges from 0 ("Extreme Fear") to 100 ("Extreme Greed"). The current reading suggests investors remain wary due to market uncertainty and a lack of fully restored confidence. CoinMarketCap calculates the index using multiple metrics beyond price, including the volatility of top cryptocurrencies, put/call ratios, stablecoin supply ratios, and user search trends to capture broader market behavior. Analysts cite global macroeconomic uncertainty, central bank policy expectations, and crypto asset price volatility as key factors restraining risk-taking. The index's stagnation over several days also indicates the market is struggling to find a clear directional trend. While not a standalone tool for investment decisions, the index is considered valuable for understanding market psychology. Historically, periods where the index falls to very low levels have sometimes presented buying opportunities, while excessively high readings increase the risk of profit-taking and corrections.

Summary: This article examines the significant losses recently suffered by cryptocurrency traders and influencers who ventured into the stock market, specifically by heavily investing in AI-related and semiconductor storage stocks. The narrative centers on the dramatic reversal in the Korean and US equity markets in late July, with stocks like SK Hynix and related leveraged ETFs experiencing historic plunges, erasing massive gains. The analysis highlights several key factors behind the "flip." Traders, accustomed to crypto's high volatility and frustrated by a stagnant market, chased the apparent momentum in AI-themed equities. Many made fatal mistakes: applying high-leverage strategies common in crypto (e.g., 2x ETFs, on-chain perpetual contracts) to stocks, and failing to understand the distinct rules of different stock markets (like Korean pre-market trading). This led to widespread liquidations, especially when a thin Korean pre-market trade triggered a cascading flash crash on a decentralized exchange. Post-crash reflections from prominent figures reveal deep regret and self-criticism. They acknowledge misjudging their expertise, overestimating their edge against sophisticated institutional players, and the dangers of leverage. The article concludes that while such setbacks are part of trading, surviving long-term requires recognizing one's limitations and the inherent risks of cross-market strategies.

Coinbase posted its second consecutive quarterly net loss of $359 million on $1.22 billion in revenue for Q2, highlighting its vulnerability to crypto market cycles where weaker prices and lower volatility reduce user trading. However, the report also reveals a strategic shift in its business model. Despite a 25% quarter-over-quarter decline in global spot trading volume, Coinbase increased its market share to a company-record 10.3%. This suggests its position as a compliant U.S. on-ramp is strengthening even in a cooler market. A key development is the diversification of revenue streams. Transaction revenue fell to $599 million, nearly equaling subscription and services revenue of $555 million. Stablecoin services, generating $292 million, are becoming a crucial revenue "floor." This income, derived from interest on the $20 billion average USDC balance held on its platform, is less tied to daily trading activity. Furthermore, while spot trading volume dropped significantly, derivatives volume held steady at $1.03 trillion. Coinbase is pushing to integrate spot, stablecoin, and derivatives liquidity to create a more interconnected and sticky ecosystem for users. The GAAP net loss includes non-cash expenses like stock-based compensation and crypto asset valuation changes. Its adjusted EBITDA remained positive at $208 million for the 14th straight quarter, indicating core operations can cover ongoing costs. The company is also reducing expenses to manage the downturn. The central question moving forward is whether Coinbase's growing market share, stablecoin revenues, and expanding product integration can sufficiently offset the inherent cyclicality of its core trading business during future market contractions.

On July 31st, DeepSeek officially launched the public API beta for its DeepSeek-V4-Flash model. A key highlight is its performance on multiple Agent benchmark tests, reportedly nearing or even surpassing the level of the V4-Pro preview version from three months ago. Notably, the Flash model achieves this with significantly smaller scale (130B active parameters vs. Pro's 490B), suggesting that post-training optimization and data quality may be as crucial as raw model size. DeepSeek emphasized that the V4-Flash-0731 uses the same model architecture and size as its preview version, with improvements attributed solely to "re-trained post-training." The update also marks the official debut of DeepSeek's self-developed Agent framework, "Harness." The move signals DeepSeek's strategic push to position its cost-effective Flash model as a competitive base for Agent applications—scenarios requiring autonomous planning, tool usage, and complex task execution—where inference speed and cost are critical. By natively supporting OpenAI's Responses API format and adapting for code-generation scenarios, DeepSeek aims not just to be a cheaper alternative but to establish its own ecosystem in the Agent era. This release follows DeepSeek's record-breaking ~$50 billion fundraising round roughly two months prior, underscoring market confidence in its technology and commercialization prospects. The company is reportedly preparing for another funding round at a valuation of approximately $71 billion. The Flash model's advancement represents a step in fulfilling the high expectations that come with this valuation, setting the stage for the impending release of the V4-Pro official version and intensifying competition in the global Agent landscape.

The article discusses the growing debate over whether TradeXYZ, which dominates Hyperliquid's HIP-3 market with over 90% of its volume, might break away to build its own independent trading platform. This possibility is fueled by TradeXYZ's immense market influence and the common industry trend of successful projects seeking more control and profit capture. Key arguments for a potential split include TradeXYZ's overwhelming contribution to Hyperliquid's metrics and the financial incentive to retain all transaction fees, as it currently splits them 50/50 with Hyperliquid. The piece draws parallels to other cases, like Anthropic's "Claude Code" competing with its former partner Cursor, suggesting "betrayal" can occur when business leverage shifts. However, strong counterarguments suggest a split is unlikely or would be detrimental. TradeXYZ relies on Hyperliquid's high-performance infrastructure and its platform as a primary user acquisition channel. Building a comparable system would be challenging. Furthermore, the founders of both projects share a history of trust and mutual admiration. The analysis concludes that a separation would likely be a lose-lose scenario: Hyperliquid would lose a major growth narrative and trading volume, while TradeXYZ would face technical hurdles, user migration issues, and reputational damage, potentially allowing competitors to seize market share. The most rational path is seen as continued collaboration, with TradeXYZ potentially negotiating better terms while leveraging Hyperliquid's established strengths.