2026-04-17 Sexta

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Ethereum Slips Toward $1,900 as Selling Pressure Intensifies

Ethereum (ETH) declined further, trading near $1,950 with a 3% drop as selling pressure dominated. Technical indicators show ETH trading below key moving averages, with the RSI in negative territory. Support is seen around $1,930–$1,950, with a break below potentially leading to $1,900 or lower. Resistance lies near $2,050. Despite the bearish trend, institutional interest remains strong, with Bitmine staking an additional 140,400 ETH and increasing its total holdings to over 4.366 million ETH, indicating long-term conviction.

TheNewsCrypto02/11 14:19

Ethereum Slips Toward $1,900 as Selling Pressure Intensifies

TheNewsCrypto02/11 14:19

From a Trillion-Dollar Empire to Prison Appeals: A 35-Page Document Attempts to Rewrite the Ending

Sam Bankman-Fried (SBF), the imprisoned founder of FTX, has filed a 35-page pro se motion seeking to overturn his 2023 fraud conviction and 25-year sentence. Submitted through his mother, Stanford law professor Barbara H. Fried, the motion cites newly discovered evidence and alleges multiple judicial and prosecutorial misconducts. Key claims include: the prosecution allegedly threatened witnesses like Ryan Salame to prevent exculpatory testimony and coerced former FTX engineering head Nishad Singh into changing his statements. SBF also presents a sworn declaration from former FTX data head Daniel Chapsky, arguing that prosecutors misrepresented Alameda Research’s account balances to fabricate a shortfall. Additionally, SBF accuses Sullivan & Cromwell, the law firm handling FTX’s bankruptcy, of undervaluing assets to support the narrative of insolvency—contrary to the eventual 119-143% customer recovery rate. He further suggests political targeting by the Biden administration and requests Judge Lewis A. Kaplan to recuse himself due to perceived bias. Legal experts view the motion as a long shot, as most claims rely on evidence that may not meet the “newly discovered” standard, and challenging judicial bias is rarely successful.

比推02/11 14:14

From a Trillion-Dollar Empire to Prison Appeals: A 35-Page Document Attempts to Rewrite the Ending

比推02/11 14:14

This Might Be the Last Chance for Ordinary People to Understand AI in Advance

The author, an AI industry insider, warns that AI advancement is undergoing a nonlinear, exponential leap—not gradual improvement. By early 2026, models like GPT-5.3 and Claude Opus 4.6 can autonomously complete complex tasks (e.g., coding full applications, legal analysis, financial modeling) without human intervention, often outperforming professionals. AI is now actively used in its own development, accelerating progress toward artificial general intelligence (AGI), predicted to surpass human capability in most tasks by 2026–2027. This shift threatens 50%+ of white-collar jobs (law, finance, writing, software, etc.) within 1–5 years, as AI replaces cognitive labor universally. The author urges immediate action: use paid, state-of-the-art AI tools (e.g., ChatGPT Plus, Claude Pro) for real work tasks, not just queries; adapt skills toward creativity and AI collaboration; secure finances; and embrace continuous learning. The window to gain advantage is narrow but critical. Beyond work, AI poses existential risks (e.g., security threats) and promises breakthroughs (e.g., curing diseases). The message is clear: engage now or risk being left behind.

marsbit02/11 13:57

This Might Be the Last Chance for Ordinary People to Understand AI in Advance

marsbit02/11 13:57

Ending Zero-Sum Games: An In-Depth Research Report on Web3 Incentive Engineering and Odyssey Behavioral Dynamics

The report "Ending Zero-Sum Games: A Deep Dive into Web3 Incentive Engineering and Odyssey Behavioral Dynamics" analyzes the evolution of Web3 incentive mechanisms, arguing that traditional airdrop and points-based models have led to inefficiency, Sybil attacks, and low user retention. It proposes a shift from volume-based metrics to value-based unit economics, where user lifetime value (LTV) must exceed customer acquisition cost (CAC). The new paradigm defines incentives as a combination of Credit (e.g., SBTs), Privileges (e.g., governance rights), and Revenue Rights (e.g., real yield). A key framework classifies users into three behavioral archetypes: Gamma (profit-driven farmers), Beta (engaged explorers), and Alpha (long-term builders). Successful incentive design must encourage migration from Gamma to Alpha by making authentic contribution more profitable than farming. The report introduces technical solutions to ensure incentive compatibility (IC): - A Dynamic Difficulty Adjustment (DDA) mechanism to auto-calibrate task complexity. - A Proof of Value (PoV) model to measure "contribution density" (liquidity, time, governance activity). - A ZK-based behavioral attestation layer for private, Sybil-resistant user verification. Finally, the Odyssey model is envisioned to evolve from a marketing campaign into a native, embedded protocol (GaaS - Growth-as-a-Service) with interoperable credit across ecosystems, fostering a shift from speculative engagement to sustainable, value-aligned collaboration.

marsbit02/11 13:47

Ending Zero-Sum Games: An In-Depth Research Report on Web3 Incentive Engineering and Odyssey Behavioral Dynamics

marsbit02/11 13:47

Bitcoin Moves With Tech Stocks, Not Gold, Grayscale Research Shows

Grayscale Investments research reveals Bitcoin's price movements are increasingly correlated with technology stocks rather than traditional safe-haven assets like gold. The report notes Bitcoin's recent decline below $60,000 aligned with broader tech sector sell-offs, and its behavior resembles that of growth-oriented tech equities. This challenges the narrative of Bitcoin as a hedge against equity risk. While Bitcoin retains long-term store-of-value features like limited supply and decentralization, its short-term performance is now tied to risk appetite and capital flows influenced by tech stock performance. The analysis suggests that institutional ETF activity is integrating Bitcoin into traditional finance, potentially strengthening its connection to risk assets. Despite this shift, regulatory developments and broader blockchain infrastructure growth could impact future adoption and correlation trends.

TheNewsCrypto02/11 13:17

Bitcoin Moves With Tech Stocks, Not Gold, Grayscale Research Shows

TheNewsCrypto02/11 13:17

Binance Partners With Franklin Templeton to Enable Tokenized Money Market Funds as Off-Exchange Collateral

Binance has partnered with global asset manager Franklin Templeton to enable institutional traders to use tokenized money market funds as off-exchange collateral. This new structure allows investors to hold tokenized shares of Franklin Templeton’s Benji platform in regulated custody, while Binance recognizes their value for margin trading. This reduces counterparty risk, as assets are held off-exchange, and enables institutions to earn returns on stable, low-risk money market funds while using them as trading collateral. The move is seen as a significant step in bridging traditional finance with digital assets, addressing custody barriers and promoting real-world asset adoption in crypto markets.

TheNewsCrypto02/11 13:14

Binance Partners With Franklin Templeton to Enable Tokenized Money Market Funds as Off-Exchange Collateral

TheNewsCrypto02/11 13:14

Robinhood Achieves Best Performance in History, Why Did Its Stock Price Halve?

Robinhood reported its best-ever annual performance in 2025, with revenue reaching $4.5 billion, a 52% year-over-year increase. Despite strong results in options trading, equities, and subscription services, its stock price fell nearly 50% from its October peak. The decline was largely driven by a significant drop in cryptocurrency trading revenue, which fell 38% year-over-year to $221 million in Q4, as lower Bitcoin prices reduced retail trading activity. Monthly active users also declined by 1.9 million. While Robinhood is diversifying into new products and expanding internationally to reduce crypto dependency, its near-term performance remains tied to cryptocurrency market sentiment and volatility.

比推02/11 13:13

Robinhood Achieves Best Performance in History, Why Did Its Stock Price Halve?

比推02/11 13:13

High-Frequency Trading, $100K Annual Income: The Most 'Boring' Profit Myth on Polymarket

A user known as planktonXD (0x4ffe49ba2a4cae123536a8af4fda48faeb609f71) has generated over $106,000 in profit on Polymarket within a year by executing more than 61,000 predictions—averaging around 170 trades per day. This high-frequency, automated strategy focuses on exploiting small, certain opportunities rather than betting on high-risk, high-reward outcomes. The approach is characterized by market-making and micro-arbitrage: placing orders on both sides of the order book to capture spreads or profiting from mispriced options in low-liquidity markets. The largest single win was only $2,527, illustrating a disciplined, risk-managed method that avoids large drawdowns. The bot operates across diverse categories—sports, weather, crypto prices, politics—constantly scanning for pricing inefficiencies. Notable examples include buying heavily undervalued options in niche markets, such as esports matches or extreme crypto price movements, where probability is mispriced due to emotional trading or thin order books. For instance, a $16 bet on SOL falling to $130 (priced at 0.7¢, implying <1% chance) returned $1,574 during a volatile period. Key takeaways: The strategy highlights the power of compounding small gains, the necessity of automation and API tools, and the superiority of high-probability opportunities over high-risk bets. In prediction markets, the most advanced approach isn’t forecasting—it’s managing probability and liquidity.

marsbit02/11 13:06

High-Frequency Trading, $100K Annual Income: The Most 'Boring' Profit Myth on Polymarket

marsbit02/11 13:06

Bitcoin: How a $172M whale dump is pressuring BTC price

Bitcoin's price decline continues, failing to hold the $70,000 support level and reaching a local low of $66,529. A significant whale deposited 2,500 BTC, valued at $172.56 million, into Binance, signaling capitulation to limit losses. This is part of a broader trend of increased sell-side pressure from whales, with 37,000 BTC offloaded in a single day. Market data shows overwhelming seller dominance, with exchange inflows rising and the RSI indicating an oversold condition at 29.9. If this selling pressure persists, particularly from large holders, a further drop toward $62,000 is considered likely. For a trend reversal, BTC must reclaim the $72,000 and $80,000 resistance zones.

ambcrypto02/11 13:02

Bitcoin: How a $172M whale dump is pressuring BTC price

ambcrypto02/11 13:02

Making a Profit of $100,000 from 'Mosquito Meat' with 170 High-Frequency Trades per Day?

A quantitative trading bot, planktonXD, generated over $106,000 in profit on Polymarket within a year by executing more than 61,000 predictions—averaging 170 trades per day. Instead of betting on high-risk "black swan" events, it employed a high-frequency market-making and arbitrage strategy, focusing on small, consistent gains with minimal drawdowns. The bot capitalized on mispriced odds in low-liquidity markets—such as regional esports matches and crypto price predictions—by placing tiny bets on highly improbable outcomes that were statistically undervalued. For example, it achieved returns as high as 23,750% on a VALORANT match and 9,285% on a SOL price prediction by buying nearly worthless shares that surged during market panics or emotional mispricings. Key takeaways include the power of compounding small gains, the necessity of automated tools and API access, and the importance of probability management over high-risk bets. The strategy highlights that success in prediction markets lies not in forecasting outcomes, but in exploiting liquidity gaps and probabilistic edges.

比推02/11 12:36

Making a Profit of $100,000 from 'Mosquito Meat' with 170 High-Frequency Trades per Day?

比推02/11 12:36

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