Crypto Strategy: Navigating Resistance and Timing
Yi Lihua, founder of Liquid Capital, recently outlined his perspective on the current market dynamics, focusing on a key technical level for Bitcoin and a strategic accumulation timeframe.
The $67,500 Hurdle
Yi emphasized that the $67,500 zone remains a major resistance point for Bitcoin. A convincing and sustained break above this level is necessary, in his view, to transition from consolidation into a meaningful uptrend. Until that occurs, range-bound trading is likely to persist.
Look Beyond Short-Term Noise
Regarding investment strategy, he reiterated his stance that July and August present a favorable window for gradual accumulation. Yi suggests that attempting to micro-analyze every swing within the current range or pinpoint an exact "bottom" price is less productive. The core focus should be on strategic positioning for the next bull market cycle.
The approach is straightforward: use potential volatility and market sentiment over these two months to build a position methodically, then exercise patience as the broader cycle unfolds.
The AI Compute Surge: AGPU's Ascent
Beyond crypto, Yi shared insights from the traditional tech sector, highlighting significant developments in AI computing infrastructure.
Contract Momentum: Targeting $10B
He noted that AGPU, a compute firm under their research coverage, recently announced a new $1.5 billion contract. This brings its total publicly disclosed contract value to over $3 billion. Given this strong trajectory, the market anticipates AGPU could reach a staggering $10 billion in total contracts within the year, signaling explosive growth potential.
A Shareholder-Friendly Model
Yi pointed out a critical differentiator for AGPU: its financing approach. Unlike many firms that utilize dilutive "At-The-Market" (ATM) equity offerings, AGPU employs alternative financing methods. This model helps prevent significant shareholder dilution, better protecting the value for existing investors.
The revenue from these substantial contracts is expected to flow through to upcoming financial statements, providing fundamental support. This underscores the persistent, high demand for underlying AI compute capacity and improving visibility for related companies.