#GALAXYSURF looking good for a breakout.

Buy above 3130.

#stocks #Trader #invest

1) OBSERVATION: The frequencies are changing. I would have to assess stats on the electromagnetic field to see its fluctuations. All I know is, I am highly sensitive to energy/frequencies, and they are changing, because…

2) 2 Weeks ago, my dog was effected by it as well. He is hearing things that aren’t technically audible. I can tell by his body language and sounds. One week ago I began feeling a pressure in my head and ears. It wasn’t painful at all, but it was intense for a bit.

3) It reminded me of taking off in an airplane a bit. I felt like I was in a vacuum. It went on and off for a couple of days. I’ve picked up on frequencies and high pitched sounds (not audible to most) for 30 years, and today my right ear began to ring for longer than usual.

4) This is nothing unusual for me, with exception of the duration. This happens often with me. No, it’s not tinnitus. Only this time, when I spoke, there was reverb creating a high pitch in my ear from my voice. This lasted for about 30 minutes. It did not hurt, just annoying.

5) So yes, the frequencies are changing. What this means exactly, I am unsure of at the moment. Some will say electromagnetic fields, others will say ascension, and some will say pole shift. I honestly can’t say at this very moment.

1 There's a chasm between an NLP technology that works well in the research lab and something that works for applications that real people use. This was eye-opening when I started my career, and every time I talk to an NLP engineer at @textio, it continues to strike me even now.

2 Research conditions are theoretical and/or idealized. A huge problem for so-called NLP or AI startups with highly credentialed academic founders is that they bring limited knowledge of what it takes to build real products outside the lab.

3 A product is ultimately a thing that people pay for - not just cool technology or user experience. But I’m not even talking about knowledge gaps in go-to-market work. I'm talking purely technical gaps: how you go from science project to performant + delightful user experience.

4 Most commoditized NLP packages solve well-understood problems in standard ways that sacrifice either precision or performance. In a research lab, this is not usually a hard trade-off; in general, no one is using what you make, so performance is less important than precision.

5 In software, when you’re making something for real people to use, these tradeoffs are a big deal. Especially if you’re asking those people to pay for what you’ve made (can’t get away from that pesky GTM thinking). They expect quality, which includes precision AND performance.

The Straddle is my favorite trade these days. But more often than not, one needs to adjust to make a good return from it. There are many ways to do this depending on your view, psychology and imagination. Will discuss a few that I use

The Straddle is a delta neutral strategy and it is important to keep deltas in check during the course of the Trade and not let them run away from you. Of course Volatility is the elephant in the room- but not going there as that will require a separate discussion

The first and most common method is to go 'inverted.' That is to say to shift the untested side to generate additional Premium and increase the runway to Breakeven. So if you start with a Straddle at 700 and price goes to 740, you can move the PE up to say 720.

How much should you move the untested side? While again this is a matter of skill, experience and artistry, the rule of thumb is to cut deltas by half. Remember, prices will move and you have to allow sufficient room for them to fluctuate

The second method is to shift the entire Straddle in the direction of the move. So if you have a 700 Straddle and Price goes to 740, you can shift the Straddle to 720. If you time this right, it can generally be done at virtually no cost or minimal cost.