Shanzhai:

OpenAI's recent commercialization in the e-commerce sector marks an acceleration in the practical application of AI technology. This development not only strengthens market expectations for AI application scenarios but also provides dual support of sentiment and logic for the AI concept sector in the cryptocurrency market. Against this backdrop, the effect of fund rotation is expected to drive short-term trends for related tokens.

FET + AGIX

Sector Leading Duo: As the leading assets in the AI sector, both show strong correlated characteristics in their technical aspects, with market attention continuously rising.

Operational Strategy: If the upward breakout trend continues, short-term chasing opportunities may be considered; if it enters a correction, wait for stabilization signals before selecting a re-entry point.

RNDR (Rendering Infrastructure Leader)

Track Positioning: Focused on AI + distributed rendering, with clear technical application scenarios, it is a key target for institutional fund allocation.

Technical Form: If it can break through key resistance levels recently accompanied by increased trading volume, it is expected to open a new upward channel.

TAO (AI Narrative Ceiling)

Volatility Characteristics: As a high-elasticity asset, TAO is sensitive to market sentiment, with short-term volatility significantly higher than the sector average.

Risk Warning: Beware of the risk of violent fluctuations. It is recommended to only make investments when the market stabilizes or the overall sector strengthens, in conjunction with bottom structure signals (such as double bottoms, volume-price divergence).

Operational Suggestions and Risk Control

Aggressive Strategy: Prioritize attention on the breakthrough momentum of FET/AGIX or the infrastructure value reassessment opportunity of RNDR.

Defensive Strategy: For the highly volatile TAO, it is advised to wait for sufficient weekly adjustment (such as RSI falling below 50) before gradually building positions.

Key Points for Risk Control:

Set stop-loss levels at 5%-8% to prevent risks from rapid sector rotation causing pullback.

Avoid chasing assets that have recently surged continuously with decreasing trading volume.

The AI sector is currently in a sentiment-driven phase, and may soon welcome a fund rotation trend. Investors should focus on assets with strong technical performance and accompanying volume, while being cautious of profit-taking pressure after market overheating. In the medium to long term, it is necessary to observe the actual landing progress of AI projects and the sustainability of token economic models.

Specific strategies can be further discussed, and real-time layout suggestions are welcome. Public account: Bi Chang Kong