Don't assume Tesla needs a new factory to build Cybertruck. With the projected late-2021 product launch, its uncertain Tesla could even build a new USA factory in that timeline.
Yup. And look for Tesla to provide another price drop in Jan 2020, as they did in mid-July 2019. Not the full amount of the decrease in the Tax credit, just enough so that the 'buy' decision becomes a push for most potential customers.
ha, poor edit, I originally said something like Elon's personality, but decided to just leave it at Elon and left the apostrophe and s by accident.
They just raised the Model 3 price didn't they?
They led in with Tesla Slows Down today and how it is testing it’s all time highs which is a bad sign because history says it will plummet 20% from here. One analyst believes momentum collapses in Q1 the other said to not short this stock with Shanghai coming up. He believed the stock might skyrocket when it breaks through $400.
And we are all terrified that CNBC is worried about volatility in the stock market, and i suggest CNBC switch their coverage from powerlunch to annuitylunch...
He's just a performer... don't get me wrong, I hope he's seen the light as there are a lot of people that love his act, but it's still an act and that's what concerns me.
I tire of cavendishes.Pfffsssshhhhttt, well that’s obvious.
Spelling “caching” with an S.
How is anyone supposed to take you seriously?!?
%0.7g,%0.7g,%0.7g)%0.7g,%0.7g,%0.7g)\n" % (hash, value, score[0], score[1], score[2], penalty[0], penalty[1], penalty[2])) [^:]+)[^:]+)[^:]+)$", line) )But why all those sad faces?Actually, that I can envy
Hire some shorts to hold the bag for you
I think a cosmic ray caused a soft error that flipped a couple bits in my natural language processing subsystem when i was writing that
Seriously, though, some of my code (heavily excerpted) for such a function I've written in the past, as proof:
def full_evaluate(p, force_run = False):
..hash = "".join(["%05g,"] * len(p))[:-1] % tuple(p.tolist())
...
..ret2 = evaluate(p, hash, run_params, force_run)
...
....return write_hash(hash, s, (ret0[1], ret1[1], ret2[1]), (ret0[2], ret1[2], r
et2[2]))
def evaluate(p, hash, run_params, force_run = False):
...
....if hash in hashes:
......log("Already run (%f)\n" % hashes[hash])
......return hashes[hash]
...
def write_hash(hash, value, score, penalty):
..global hashes
..if hash not in hashes:
....hashes[hash] = value
..fp = open("hashes.txt", "a")
..fp.write("%s:%0.7g
..fp.close()
..return value
def load_hashes():
..global hashes
..hashes = {}
..fp = open("hashes.txt", "r")
..for line in fp.readlines():
....if line == "\n":
......continue
....match = re.match("^([^:]+)
....hashes[match.group(1)] = float(match.group(2))
..fp.close()
load_hashes()
ret = scipy.optimize.differential_evolution(full_evaluate, bounds, args=(), init
=init_list, strategy='rand1bin', seed=0, popsize=POPSIZE, mutation=(0,1.999), to
l=0, maxiter=30000, polish=True)
(I'm well aware that I'm rather typo prone - which is why this site's inability to edit old posts is kind of frustrating
Back on topic: I'm quite frankly thrilled by the fact that the stock seems to be consolidating at this level. Right before the deliveries report, the start of GF3 deliveries, etc etc. $380 and no heavy profit taking? It's about bloody time
(No, no need to tell, we can guess)
