SHIFU will benefit in the short term from the warming of market liquidity and the improvement in risk appetite, and prices are expected to gain phase support. It is recommended to pay attention to the sustainability of liquidity and trading volume performance. For short-term operations, consider batch entry and dynamic profit-taking. The support and resistance range should be flexibly adjusted according to BTC's current oscillation zone. In the medium to long term, if SHIFU can take the lead in completing the structural upgrade from traditional binary options to the perpetual contract model, it is expected to see sustained improvement in demand and capital efficiency, solidifying its value center. Overall strategy suggestion: Seize short-term opportunities while strictly controlling downside risks, and in the mid-to-long term, deploy according to the pace of structural innovation.

Recent days have seen signs of a liquidity recovery in the market. As Bitcoin transitions from the deleveraging phase to a mild expansion phase, overall risk appetite has improved. At the early stage of liquidity improvement, bullish sentiment is triggered, forming a short-term bottom rebound. Meanwhile, the rise led by spot trading has reduced the risk of concentrated liquidations and initial liquidity is returning to small and mid-cap tokens. SHIFU can leverage this wave of market sentiment recovery to gain short-term price support, but it is still necessary to be vigilant for a second test of macro liquidity sustainability and trading volume synchronization.

CryptoQuant analyst Darkfrost noted on January 4 that the cryptocurrency market is beginning to improve, urging caution against dismissing this trend prematurely. While more data is needed for definitive conclusions, some trend changes are starting to emerge, making this a critical time to pay close attention.

Analysis: The crypto market is beginning to improve, with some trend changes gradually becoming apparent.

Analyst Willy Woo tweeted that he expects a short-term rebound in January due to rising liquidity, signaling a bottoming bounce. However, based on trading volume and fees, he remains bearish on the long-term macro cycle, describing the market as bleak.

Willy Woo: There will be a short-term bottoming rebound in January.

Currently, the traditional binary options model is limited in terms of liquidity and capital efficiency and has fallen into a 'local optimum' predicament. There is an urgent need to evolve toward a perpetual contract model to build a prediction market ecosystem with sustained, efficient, and deep liquidity. If SHIFU can take advantage of this structural transformation and achieve upgrades in contract design, order book depth, and trading tools, it will experience more robust demand-driven growth and value support. Although liquidity insufficiency remains a constraining factor in the short term, system-wide reconstruction will bring broader application scenarios and higher capital utilization for the token in the long run.

The article critically examines the current state of prediction markets, arguing they have fallen into a "local optimum" trap similar to past tech failures like BlackBerry and Yahoo. While binary options models have gained short-term traction, they suffer from liquidity shortages and low capital efficiency. The author advocates evolving prediction markets toward a perpetual contract model to achieve a truly universal, liquid market, emphasizing the need for radical redesign and humility to overcome structural limitations and realize their full potential.

Falling into a local optimum, market predictions should not stop here.

Due to the lack of detailed SHIFU K-line data, one can refer to the narrow range oscillations and slow upward trend of the Bitcoin market to gauge the technical pattern: In the short term, support and resistance levels are relatively concentrated and the fluctuation range is limited, making it suitable to adopt batch building positions and moving stop losses for risk control. Investors are advised to gradually lock in partial profits before short-term sentiment peaks, and set stop losses at key moving averages or volume gaps to cope with a rapid pullback should liquidity recede.

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