Range Judgment Realized, Strategy Fully Executed | Guest Analysis

marsbitОпубликовано 2026-01-09Обновлено 2026-01-09

Введение

In his weekly analysis, Cody Feng, a quantitative trading expert, reviews Bitcoin's price action from January 5 to 11. BTC movement aligned closely with his initial forecast, trading within a range of $84,000 to $94,500. The price faced strong resistance at the $93,000–$94,500 zone and later pulled back toward the mid-to-lower part of the range. A short position was executed near $94,000 based on signals from momentum and spread trading models, and the trade was closed around $90,584, capturing a profit of approximately 3.4%. The strategy emphasized pre-planned execution and disciplined risk management. Currently, Bitcoin has found support around $86,500, with technical indicators suggesting oversold conditions and a potential bounce. However, the overall structure remains a broad consolidation. A rebound toward $92,000–$93,000 is anticipated, where renewed selling pressure may emerge. A break above $94,500 would require a reassessment of the market outlook. Feng concludes that in a ranging market, executing well-defined strategies with strict risk controls is more critical than predicting directional moves.

Odaily guest market analyst Cody Feng, Master of Financial Statistics from Columbia University, has focused on quantitative trading of US stocks since college and gradually expanded to digital assets such as Bitcoin. He has built a systematic quantitative trading model and risk control system through practical experience; possesses keen data insight into market fluctuations, and is committed to continuous growth in the professional trading field, pursuing stable returns. He will delve into BTC technical, macroeconomic, and capital flow changes weekly, review and showcase practical strategies, and preview noteworthy upcoming developments for reference.

Bitcoin Mid-Week Review(01.05~01.11)

Conclusion First:

This week, Bitcoin's overall price action largely operated within the 84,000~94,500 USD oscillation range we provided at the beginning of the week. The price precisely encountered resistance in the 93,000~94,500 USD pressure zone and subsequently fell back to the middle-lower part of the range. Our core level judgments were verified by actual market performance.

In this trade, we established short positions near 94,000 USD and exited all positions near 91,000 USD, capturing approximately 3.4% profit (spot) from the range, completing a high-probability, low-drawdown profit realization in a ranging market.

I. Validation of This Week's Core Range and Key Levels

At the beginning of the week, we clearly stated that this week required close attention to the battle between bulls and bears at the upper and lower boundaries of the 84,000~94,500 USD range.

The actual movement showed that Bitcoin clearly met resistance after rebounding to the 93,000~94,500 USD pressure zone, with multiple failed attempts to break higher, subsequently leading to a pullback under pressure, validating the effectiveness of this area as a阶段性 "ceiling".

Regarding support levels, the price showed clear signs of stopping declines and stabilizing after falling to the 86,000~86,500 USD area, where buying interest began to emerge. The more critical support level at 84,000 USD has not been touched yet, and the overall structure remains within the wide-range oscillation framework.

II. Execution of Plan A (From Entry to Exit)

Based on the range oscillation judgment, our Plan A formulated at the start of the week was effectively executed.

When the price rebounded to the 93,000~94,500 USD zone showing signs of upward exhaustion, and both the (momentum, spread trading) models simultaneously issued top signals, we immediately established short positions at 93,771 USD. The market subsequently declined as expected.

When the "Spread Trading" model issued a bottom signal, we finally exited all positions at 90,584 USD, completing a full, emotion-free short trade. The entire trading process was not "hindsight analysis" but involved pre-planning, in-execution, and post-verification.

III. Operational Thoughts for the Latter Half of the Week

Bitcoin 4-Hour Chart: (Momentum Quantitative Model + Spread Trading Model)

From the 4-hour technical structure (see chart above), Bitcoin has currently found effective support near 86,500 USD. Multiple technical indicators have entered oversold territory, indicating short-term selling pressure has been released. The market has a demand for a technical rebound correction (oscillatory rebound), but this is not yet sufficient to confirm a reversal of the downtrend.

Based on this, we anticipate the price may first rebound to test the 92,000~93,000 USD area. This level also coincides with the middle-upper part of the previous oscillation range and is expected to form resistance again.

For short-term operations, maintain a range-trading mindset: if the price reaches this zone and shows signs of momentum exhaustion or failed breakouts, consider building short positions on rallies; if it effectively breaks above 94,500 USD, stop loss decisively and reassess the market structure.

IV. Summary

Overall, Bitcoin continues to operate within the wide-range oscillation pattern defined at the beginning of the week: lower support provides room for rebounds, while upper resistance limits the upside. At present, rather than betting on a unilateral trend, it is more important to respect the range structure, focus on high-probability levels, and maintain strict risk control.

In ranging markets, formulating flexible response strategies and achieving stable profits is far more important than predicting direction.

Disclaimer: The above content is solely personal market opinion sharing and does not constitute any investment advice. Cryptocurrencies are highly volatile; please make independent judgments and strictly control risks.

Связанные с этим вопросы

QWhat was the price range for Bitcoin's consolidation as predicted by analyst Cody Feng at the beginning of the week?

AThe predicted consolidation range for Bitcoin was between $84,000 and $94,500.

QAt what price level did the analyst establish a short position and what was the profit from this trade?

AA short position was established near $94,000 and closed near $91,000, capturing a profit of approximately 3.4%.

QWhat are the two technical models mentioned that provided signals for the trade execution?

AThe two technical models mentioned are the Momentum Quant Model and the Spread Trading Model.

QAccording to the 4-hour chart analysis, what is the expected next move for Bitcoin's price and the key resistance area to watch?

AA technical rebound or震荡反弹 (oscillatory rebound) is expected to test the $92,000 to $93,000 area.

QWhat is the overarching trading philosophy emphasized for the current market conditions described in the article?

AThe philosophy is to focus on high-probability price points and strict risk control within the range-bound structure, rather than betting on a one-directional trend, as formulating flexible strategies for stable profits is more important than predicting direction.

Похожее

The Largest IPO in History Ignites Heated Debate: Is SpaceX Worth $1.77 Trillion?

SpaceX's potential IPO is priced at $135 per share, aiming to raise $75 billion and valuing the company at approximately $1.77 trillion, which would make it the largest IPO in history. This valuation has sparked intense debate among investors. Bullish analysts, including major underwriters Goldman Sachs and Morgan Stanley, argue the valuation is justified by SpaceX's long-term potential. They see it not just as a rocket company but as a future leader in space infrastructure, with key growth drivers being Starlink satellite internet, low-cost rocket launches, and future AI-related ventures. They project revenues reaching hundreds of billions to trillions of dollars by 2030-2040. ARK Invest's model suggests a 2030 enterprise value could reach $2.5 trillion. Bearish analysts from independent research firms like Morningstar, PitchBook, and New Constructs contend the IPO price is excessively high, already pricing in unrealistic future growth. Using DCF and sum-of-the-parts models, they estimate fair value between $780 billion and $1.7 trillion, significantly below the IPO target. They highlight risks such as the speculative nature of AI projections, over-dependence on Elon Musk, high growth expectations, and corporate governance concerns. Trefis set a target price of just $79 per share. While both sides acknowledge SpaceX's unique position in commercial space, the core disagreement centers on whether the $135 share price offers a reasonable margin of safety or is overly optimistic. Despite the valuation controversy, reported strong demand for the IPO indicates significant market interest.

marsbit47 мин. назад

The Largest IPO in History Ignites Heated Debate: Is SpaceX Worth $1.77 Trillion?

marsbit47 мин. назад

After the Passage of the GENIUS Act and the CLARITY Act, What Is the Correct Architecture for On-Chain Yield?

The article discusses the evolution of on-chain credit, distinguishing three markets: overcollateralized crypto lending, unsecured lending (largely unsuccessful), and asset-backed credit (ABC). ABC, backed by identifiable real-world collateral with legal recourse, is identified as the fastest-growing category and the only one credibly addressing adverse selection—the core problem in credit where the riskiest borrowers self-select. Current growth in on-chain Real World Assets (RWAs), particularly tokenized private credit funds (e.g., Maple Finance, Centrifuge), is substantial but often merely "wraps" existing fund structures, inheriting their risks rather than solving adverse selection at the protocol level. The regulatory landscape is a key driver, with the US GENIUS Act (prohibiting stablecoin issuers from paying yield) and the proposed CLARITY Act (closing loopholes on indirect yield) set to redefine permissible yield-bearing products. This makes vaults (like ERC-4626) the critical architecture—they become the primary compliant vehicle for delivering yield, functioning as issuance, disclosure, distribution, and recovery mechanisms. The author's thesis is that the correct post-GENIUS/CLARITY architecture involves building ABC solutions where credit assessment, structure, and recovery are encoded directly into the smart contract vault layer, moving beyond mere tokenized fund wrappers to solve adverse selection fundamentally and ensure regulatory compliance.

Foresight News1 ч. назад

After the Passage of the GENIUS Act and the CLARITY Act, What Is the Correct Architecture for On-Chain Yield?

Foresight News1 ч. назад

TechFlow Intelligence Bureau: Anthropic's New Model Fable Sparks Controversy by Restricting Biosafety Research, US CPI Soars to 4.2%, a Three-Year High

**Summary of TechFlow Intelligence Report:** The newsletter covers several key tech and finance developments. In AI, Anthropic's new Fable model faced backlash for secretly limiting biomedical research capabilities and enforcing a 30-day data retention policy, prompting the company to promise more transparent adjustments. In a related story, Anthropic's founder revealed his departure from OpenAI was due to dishonesty from Sam Altman, not safety concerns. Meanwhile, OpenAI is considering significant price cuts to compete with Anthropic, potentially sparking a price war. In crypto/Web3, BlackRock filed a new amendment for a yield-generating Bitcoin ETF, while Bank of America's CEO warned that stablecoin yields could drain trillions from traditional banks. U.S. Senator Cynthia Lummis advocated for the U.S. to officially accumulate Bitcoin reserves. In hardware, Nvidia released the DiffusionGemma-2-6B image model optimized for efficient inference, and AMD promoted its unified memory architecture to challenge Nvidia's dominance. TSMC's CFO hinted at possible price increases due to soaring AI chip demand. A major legal ruling in Germany held Google legally responsible for inaccurate information generated by its AI Overviews feature. Google Chrome also moved to fully block ad-blocker workarounds like uBlock Origin. Macroeconomic headlines included U.S. CPI rising to 4.2% (a 3-year high) and Iran's complete closure of the Strait of Hormuz, raising oil price and inflation fears. South Korean markets saw continued volatility with massive foreign capital outflow. Other notable stories: Microsoft expanded its Copilot AI assistant "Mico" globally; a study found r/wallstreetbets users' stock picks outperformed Wall Street; a fully autonomous drone killed a human soldier for the first time, raising AI ethics concerns; and a Chinese hospital used brain-computer interface technology to help a blind person "see." The overarching theme connects debates over AI boundaries and responsibility (Anthropic's restrictions, Google's liability, lethal autonomous drones) with real-world economic and geopolitical turmoil (inflation, Strait of Hormuz closure, market instability), highlighting the tense interplay between technological advancement and global chaos.

marsbit1 ч. назад

TechFlow Intelligence Bureau: Anthropic's New Model Fable Sparks Controversy by Restricting Biosafety Research, US CPI Soars to 4.2%, a Three-Year High

marsbit1 ч. назад

Alibaba's Yet Another New Business Division: What Signal Does It Send?

Alibaba has established a new "Token Foundry" business unit, merging its Tongyi large model division and Future Life Lab. Led directly by Group CEO Wu Yongming, this marks the company's third significant AI organizational reshuffle in 2026, following the creation of the Alibaba Token Hub (ATH) and a Group Technology Committee. The move signals a strategic shift from consolidating AI resources to accelerating productization and commercialization. The "Token Foundry" name reflects Alibaba's ambition to become a foundational supplier in the AI era, focusing on model development and commercial application. Key teams, including those behind the high-performing HappyHorse video generation model, have been integrated into the new unit. Concurrently, Zhou Jingren, architect of the Qwen model series, has been appointed Group Chief Scientist to lead a new AI Future Research Institute, focusing on long-term technological breakthroughs like Agent capabilities. This restructuring creates a clear four-layer AI architecture within Alibaba: the research institute for frontier exploration, Token Foundry for core models and commercialization, MaaS for platform services, and business units like Qianwen (C端) and Wukong (B端) for end-user applications. The adjustments align with a global trend among tech giants like Google and Microsoft to centralize AI leadership under the CEO and deeply integrate research with business units. The urgency is driven by a narrowing competitive window. Alibaba has announced its AI business is now entering a commercialization phase, with AI-related revenue seeing triple-digit growth for eleven consecutive quarters. The company faces intense competition in the MaaS (Model-as-a-Service) sector from rivals like ByteDance and Tencent. The Token Foundry initiative represents Alibaba's effort to streamline execution and enhance competitiveness in this critical, fast-evolving landscape.

marsbit2 ч. назад

Alibaba's Yet Another New Business Division: What Signal Does It Send?

marsbit2 ч. назад

Торговля

Спот
Фьючерсы
活动图片