# Сопутствующие статьи по теме Strategy

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

BTC Rebound Remains Corrective, HYPE's Main Uptrend Initiates | Invited Analysis

This market analysis provides a technical overview of Bitcoin (BTC) and HYPE, highlighting a continued bearish trend for BTC and a developing bullish wave for HYPE. **Market Overview:** The crypto market remained in a consolidation phase. Bitcoin experienced a rebound from recent lows but is still characterized as a weak, range-bound bounce within an ongoing medium-term bearish trend. The overall structure and trading volume suggest the primary downward trend remains intact. **HYPE Analysis (Bullish):** HYPE is identified as being in Wave III of a bullish impulse pattern, considered its main upward trend. * **Wave Structure:** Wave I peaked on Feb 3rd (+87.73%), followed by a Wave II decline until Feb 24th (-33.35%). The current Wave III began on Feb 24th and has already surpassed the Wave I high, confirming its validity with a maximum gain of 51.76% so far. * **Short-Term Trade:** A successful long position was executed with 1x leverage, yielding an 18.44% profit based on quant model entries/exits and wave analysis. * **Outlook:** The primary III wave trend is ongoing. Price action is currently building a consolidation structure on lower timeframes; a breakout from this range is key for the continuation of the upward move. **Bitcoin Analysis (Bearish):** BTC's activity is framed within a larger corrective pattern. * **Market Structure:** The bounce from the February 6th low (~$60,000) is interpreted as a C-2 wave retracement within a larger C wave correction. A subsequent C-3 wave decline is anticipated. * **Key Level:** A critical support is identified at the lower boundary of the current 4-hour chart consolidation structure, around $66,250. A decisive break below this level could signal the end of the C-2 bounce and the start of the C-3 downtrend. * **Trading Performance:** * A short-term short position (1x leverage) yielded a 2.01% profit. * A medium-term short position, initiated at ~$89,000, remains open with an unrealized profit of approximately 18.17%. * **Outlook & Strategy:** BTC is expected to continue trading within a range of ~$62,500 to ~$74,500. The core trading strategy for BTC is bearish, advocating for selling into strength ("sell the rips"). Two short-selling scenarios are outlined: selling at resistance near $74,500, or selling a breakdown below the $66,250 support. **Risk Disclaimer:** The analysis emphasizes that markets are dynamic and all views, models, and strategies are for informational purposes only, derived from personal technical analysis. They are not investment advice. Investors should exercise caution, as markets are inherently risky.

Odaily星球日报03/16 06:59

BTC Rebound Remains Corrective, HYPE's Main Uptrend Initiates | Invited Analysis

Odaily星球日报03/16 06:59

Ethereum Foundation sells 5,000 ETH to BitMine: A new funding playbook?

The Ethereum Foundation has sold 5,000 ETH to the cryptocurrency mining and staking service provider BitMine. This transaction is notable as it represents a strategic move by the Foundation to secure funding, potentially establishing a new model for financing its ongoing operations and development initiatives. The sale highlights a growing trend of major blockchain entities leveraging their substantial crypto holdings in direct deals with industry partners, moving beyond traditional public market sales.

ambcrypto03/16 06:48

Ethereum Foundation sells 5,000 ETH to BitMine: A new funding playbook?

ambcrypto03/16 06:48

Earning $100,000 in 10 Days: An Interview with OpenClaw's Practical Experience in Prediction Markets

In an interview with Odaily Planet Daily, Kevin, a former ERP architect and Web3 investor, shares how he used OpenClaw to generate a profit of approximately $100,000 in just 10 days, turning a $30,000 investment into over $130,000 at its peak (currently around $112,000). Kevin began his crypto journey during the "inscription summer" of 2023, earning his first significant returns from ORDI. He later transitioned to prediction markets, specifically Polymarket, in mid-2025, attracted by its improved liquidity and user experience. Initially, he used self-developed algorithmic strategies for arbitrage, primarily in sports betting markets, doubling a $100,000 investment over several months. Since integrating OpenClaw in late February, Kevin adopted a hybrid approach: 60% of his strategy remains automated arbitrage, while 40% uses OpenClaw for predictive betting. OpenClaw helps gather and analyze factors like smart money movements, public sentiment, team lineups, and player conditions—even identifying new influencing variables. It also automates backtesting, strategy discovery, and execution, making it effective in Polymarket due to its AI-friendly API. While currently focused on sports markets with limited automated capital ($1,000 per test account), Kevin plans to expand into other domains and may later offer paid OpenClaw "Skills" based on his methodology.

Odaily星球日报03/16 06:25

Earning $100,000 in 10 Days: An Interview with OpenClaw's Practical Experience in Prediction Markets

Odaily星球日报03/16 06:25

Racing 22 Agents on Hyperliquid: What Did I Discover? (Full Strategy Code Included)

Summary: We deployed 22 autonomous AI trading agents on Hyperliquid, each with $1000, executing over 5000 trades. Key findings: 1) Less trading with higher conviction yields better results—agents with under 120 trades were profitable, while those with over 400 lost significantly. 2) Profits follow a power law: 3-5 trades generated nearly all gains, with small losses quickly stopped out. 3) Real-time "Hyperfeed" data (tracking where smart money is profiting) outperformed pure technical analysis. 4) Mean-reversion strategies failed in perpetual markets; trend-following was more effective. 5) Agents self-adjusted poorly when losing, often accelerating losses by increasing leverage or removing safeguards. Future steps include hardening risk controls in code and testing new strategies. All code is open-sourced, and experiments continue live.

Odaily星球日报03/16 03:40

Racing 22 Agents on Hyperliquid: What Did I Discover? (Full Strategy Code Included)

Odaily星球日报03/16 03:40

Google's Largest Acquisition Ever: What Makes Wiz Worth It?

Google has made its largest acquisition ever, acquiring cloud security company Wiz for $32 billion. This deal, which surpasses its 2012 purchase of Motorola Mobility, values Wiz at a price-to-sales ratio of over 45x—significantly higher than industry averages. Despite Wiz's rapid growth, with annual recurring revenue reaching ~$700 million in just a few years, the acquisition appears financially expensive at face value. Founded in 2020 by a team of Israeli cybersecurity veterans, Wiz became one of the fastest-growing software companies by focusing on agentless cloud security, enabling quick deployment and multi-cloud visibility. Its client base includes nearly half of the Fortune 100. For Google, the acquisition is strategic. It aims to integrate Wiz’s technology into Google Cloud to enhance its security offerings, attract enterprise clients, and compete more effectively against AWS and Azure. The deal, structured as all-cash, also prevents rivals from acquiring Wiz. However, challenges remain, such as integrating Wiz’s distinct corporate culture and maintaining its perceived neutrality as a now-Google-owned multi-cloud platform. Ultimately, Google is betting that the long-term strategic value outweighs the financial cost.

marsbit03/16 03:10

Google's Largest Acquisition Ever: What Makes Wiz Worth It?

marsbit03/16 03:10

The Bitcoin Game Plan That Shows How To Navigate BTC Below $100,000

A crypto analyst, ChainHub, has outlined his Bitcoin strategy for the coming months, suggesting that if BTC fails to break out soon, it may not be ready for a reversal. He identifies key demand zones at $53,000-$58,000 and $44,000-$46,000 as potential reversal points, with levels below $30,000 as next targets if these fail. While Bitcoin is still technically bullish, breaking higher without sufficient demand will be difficult. The analyst is dollar-cost averaging into short positions to hedge his spot holdings and plans to close all spot positions by early April. He expects sideways movement or slight gains before exiting spots and moving net short by late March. ChainHub anticipates a potential Bitcoin bottom around April 14-15, with the next bullish phase from late April to early May, targeting $93,000. He warns that altcoins have been unpredictable and may drop to zero before a meaningful rally, though the next cycle could be altcoin-driven.

bitcoinist03/14 01:02

The Bitcoin Game Plan That Shows How To Navigate BTC Below $100,000

bitcoinist03/14 01:02

Your Backtest Is Lying: Why You Must Use Point-in-Time Data

The article warns that backtests using revised historical data are misleading due to look-ahead bias. It illustrates this with a hypothetical trading strategy based on Bitcoin exchange outflows from Binance: entering the market when the 5-day moving average of BTC balance falls below the 14-day average, and exiting on the reverse. Initial backtest results using current data appeared reasonably successful, even comparable to buy-and-hold at times. However, the author argues this is deceptive because metrics like exchange balances are often revised retroactively as new data arrives, meaning a backtest uses information that wasn't available in real-time. Re-running the identical strategy using Point-in-Time (PiT) data—which is immutable and reflects only what was known when the data was first published—yielded significantly worse performance. The PiT-based strategy failed to capture key market upswings as effectively, resulting in meaningfully lower cumulative returns. The key takeaway is that only immutable, Point-in-Time data ensures a backtest accurately replays history without look-ahead bias, and that using revised data will produce lying backtests.

insights.glassnode03/13 14:12

Your Backtest Is Lying: Why You Must Use Point-in-Time Data

insights.glassnode03/13 14:12

Your Backtest Is Lying: Why You Must Use Point-in-Time Data

This article warns against a common pitfall in backtesting trading strategies: look-ahead bias caused by using revised historical data. It illustrates this with a hypothetical Bitcoin strategy based on exchange outflows from Binance. The strategy is built on the premise that sustained outflows (when the 5-day moving average of BTC balance falls below the 14-day average) are bullish, while inflows signal a sell-off. An initial backtest using standard, revised data shows the strategy performing comparably to a simple buy-and-hold approach. However, the author argues these results are misleading because the data has been updated with information that wasn't available in real-time. This data mutation creates an unfair advantage in the backtest. To demonstrate, the test is rerun using Point-in-Time (PiT) data—an immutable, append-only record that reflects only what was known on any given day. The results are significantly worse, as the PiT-based strategy misses key profitable moves. The key takeaway is that accurate backtesting requires immutable Point-in-Time data to avoid look-ahead bias and replay history honestly.

insights.glassnode03/13 14:12

Your Backtest Is Lying: Why You Must Use Point-in-Time Data

insights.glassnode03/13 14:12

Oracle's 2026 Financial Report Analysis: Strategic Transformation of a Database Company in the AI Computing Era

Oracle's Q3 FY2026 earnings report reveals a strategic transformation from a traditional database software company to an AI infrastructure provider. Revenue reached $17.2 billion, up 22% YoY, with cloud services driving growth—OCI revenue surged 84% to $4.9 billion. The remaining performance obligation (RPO) grew 325% to $553 billion, indicating strong future contract revenue. Oracle is capitalizing on AI-driven demand for GPU computing, data centers, and high-performance networks, positioning OCI as a key platform for AI training and inference. This shift leverages its legacy database customer base while embracing cloud and AI convergence. However, the strategy requires massive investment, with planned capex of ~$50 billion in FY2026, funded by debt and equity offerings. While still a smaller player compared to AWS, Azure, and Google Cloud, Oracle aims to compete in the AI compute market by integrating data management, cloud infrastructure, and AI capabilities. The success of this bet depends on sustained AI demand, customer adoption, and ROI from investments. The report marks a pivotal moment in Oracle’s evolution toward becoming an AI infrastructure leader.

marsbit03/13 13:32

Oracle's 2026 Financial Report Analysis: Strategic Transformation of a Database Company in the AI Computing Era

marsbit03/13 13:32

From OpenSea to OpenRouter: The Business Strategy of a Serial Entrepreneur in 'Aggregation'

From OpenSea to OpenRouter: The "Aggregation" Playbook of a Serial Entrepreneur Alex Atallah, co-founder of OpenSea (the largest NFT marketplace, once valued at $13 billion), left at the NFT market's height before its collapse. He has now founded OpenRouter, an AI model aggregation platform that unifies API access to over 500 models (including Claude, GPT, and DeepSeek) and charges a 5% fee on transactions. OpenRouter simplifies developer access by providing a single interface, avoiding the complexity of dealing with multiple providers, separate registrations, and API inconsistencies. Its growth has been rapid: monthly transaction volume surged from $800,000 in October 2024 to $8 million by May 2025, with annual processed value exceeding $100 million. The company, recently valued at $500 million after a $40 million funding round led by a16z, benefits from the AI boom and tools like OpenClaw, which uses OpenRouter as a default provider. Atallah’s strategy remains consistent: he doesn’t bet on which specific asset or model will succeed but instead positions himself as the essential intermediary in fragmented market—aggregating supply and capturing value through transaction fees. His approach highlights the power of building platforms that become critical infrastructure, regardless of which trend emerges next.

比推03/13 11:34

From OpenSea to OpenRouter: The Business Strategy of a Serial Entrepreneur in 'Aggregation'

比推03/13 11:34

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