after hours price action is the strongest in the market. if you buy spy at close and sell at open everyday you would have made 634% (since 1992) compare that to a -13% loss from open to close… so sayn that ah is not relevant is crazy.
Interesting. Did you actually write a script to compute it? I will check when I have a while. You mean selling right at open, or after some initial early morning rallies?
@@Marek-xz1lv the data is available on the internet it compares all 3 types of trades you can do if you buy sell on a daily basis and don’t forget this includes bull markets bear markets everything
If you bought shares, don’t sell. If you bought dated calls, just wait. If you bought 8/30 call options then your money is gone. IV crush will destroy the premium at market open tomorrow. DON’T YOLO on earnings. If you really must, there’s a safer method. RU-vid search “Ghetto 2 standard deviation.” You’ll learn how to bet on earnings in a safer way.
Im a bear since some time vut i need to say rearing all of you actually makes my heart ache. Hope no one gets danger levels of money risk, ans be careful this market does not take many mercy. Hope you all well.
You said loading dips last time now strong dip . What’s next bullish dip ? Dip means down what’s bullish about a dip. You mean bounce ? In that case bounce up and down? Or what
Strong BUY. Still early innings. NVIDIA is the dominant leader in AI and the preferred technology partner globally. Even w new competition on the horizon, NVIDIA is far ahead of the competition. 85% market share. 76% margin. Unrivaled demand for new Blackwell chip. Demand far exceeds production for Blackwell through to 2025 and beyond. No competitor has anything close to Blackwell. And forward P/E is about 33 (cheap for a high growth stock). Buy this stock and wait. You will be rewarded.
Problem is that NVDA is addicted to the datacenter, their mobile offerings are terrible. Inference needs to happen at the edge (mobile) and training will not have the same amount of demand as time goes on. NVDA is a major bet on aggregation of resources (compute) but this is cyclical as we have seen dozens of major shifts in this industry. Remember when Citrix aggregated desktops with VDI and then it imploded because VDI has a problem with latency? AI Inference in the datacenter has the same problem with latency. AAPL and Samsung are the best buys for AI now that we are transitioning from training to inference.
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