The VRT mention caught my attention bc most analysis overlook how data center plays scale differently than chip makers. Had a conversation with someone running infra for a mid-size AI firm—they said cooling and power distribution constraints are becomming the real bottleneck, not compute. The perps angle makes sense here since infrastructure capex cycles move slower but more predictably than semiconductor hype cycles.
The reason I focus on perps is simple: even in slow or choppy price action, the risk–reward and margin efficiency favor the trader far more than during extreme volatility, where execution and liquidation risk spike.
What most people overlook is baseline positioning. When you’re positioned near the structural bottom of an asset—whether crypto or equity—your asymmetry is to the upside.
For example, on a SOL trade last year, I entered near the bottom around $101 using high leverage, then systematically sold into strength in 1–2% increments from ~$140 up to ~$160. When SOL rolled over few days ago, I also captured the downside move around $124.
The point isn’t the leverage—it’s the process: scaling out tops, re-entering volatility, and staying paid regardless of direction.
That’s why I’m increasingly bullish on equity perps. Strong equities tend to move up, consolidate, and hold value—unlike many altcoins. And if you catch the bottom in high-momentum sectors like AI stocks, the upside can be explosive while still allowing structured risk management.
The VRT mention caught my attention bc most analysis overlook how data center plays scale differently than chip makers. Had a conversation with someone running infra for a mid-size AI firm—they said cooling and power distribution constraints are becomming the real bottleneck, not compute. The perps angle makes sense here since infrastructure capex cycles move slower but more predictably than semiconductor hype cycles.
The reason I focus on perps is simple: even in slow or choppy price action, the risk–reward and margin efficiency favor the trader far more than during extreme volatility, where execution and liquidation risk spike.
What most people overlook is baseline positioning. When you’re positioned near the structural bottom of an asset—whether crypto or equity—your asymmetry is to the upside.
For example, on a SOL trade last year, I entered near the bottom around $101 using high leverage, then systematically sold into strength in 1–2% increments from ~$140 up to ~$160. When SOL rolled over few days ago, I also captured the downside move around $124.
The point isn’t the leverage—it’s the process: scaling out tops, re-entering volatility, and staying paid regardless of direction.
That’s why I’m increasingly bullish on equity perps. Strong equities tend to move up, consolidate, and hold value—unlike many altcoins. And if you catch the bottom in high-momentum sectors like AI stocks, the upside can be explosive while still allowing structured risk management.