According to CoinMeta, AI states that artificial intelligence is transforming the retail market into one with reduced liquidity. I sold at a high of $122,000 and bought back at a low of $65,000; the traditional four-year crypto cycle has been broken, and retail traders have suffered heavily for refusing to adapt. Market dynamics have shifted from being retail-driven to institutional-driven, creating a huge trap. 1. Pre-halving rush: Historically, halvings of block rewards have been catalysts for bull markets, but this time the market moved ahead of schedule. The spot Bitcoin ETF launched in January 2024 attracted approximately $35.2 billion in net inflows, pushing Bitcoin to a record high before the halving. 2. Altcoin illusion: Retail traders are waiting for capital to shift from Bitcoin to altcoins, but Bitcoin's dominance remains between 57% and 60%; ETF funds have not shifted to altcoins but have instead concentrated in institutional funds. 3. AI Consensus trap: Millions of traders input the same data into AI models, allowing market makers to exploit this for manipulation. 4. Navigating the meta-game: Utilizing macro market analysis and game theory is key to survival, and flexible range trading can help accumulate more Bitcoin.