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US May ADP Nonfarm Employment Change 122000 Vs 118000 Forecast, Prior 109000 news.moomoo.com/t/flash/2258…

good to know - Space Exploration Technologies Corp is legal name of @SpaceX

India has sent 96 people to America who started billion dollar companies. No one else is even close. There's only about 5 million Indians in America. Almost one in 50,000 of them is a unicorn founder! What a holy, special, beautiful people. I will always fight for them.

An international student was stabbed to death in the Niagara region on May 15. I am unable to find any Canadian media reporting this. I came to know about it when someone shared several reports from India. I wonder why Canadian media is keeping mum. timesofindia.indiatimes.com/…

Spark

Nice

WattEV to order 370 Tesla Semis

20 stocks to LOAD when SPY crashes 10%-20% in May. These will be all on sale (wait for buy zones): $ASTS — $75 Buy Zone: $50–60 Why: Prior breakout level strong demand zone, institutions defend $IONQ — $43 Buy Zone: $25–29 Why: Previous consolidation base after explosive quantum momentum run $RGTI — $16 Buy Zone: $10–12 Why: High beta pullback into prior accumulation before parabolic move $BE — $230 Buy Zone: $120-130 Why: Strong support from prior earnings gap and demand cluster $LWLg — $12 Buy Zone: $8–9 Why: Microcap liquidity pocket where buyers previously stepped aggressively $EOSE — $7 Buy Zone: $3.8–4.5 Why: Deep value zone near long-term base and accumulation $HOOD — $82 Buy Zone: $60–65 Why: High volume node from prior consolidation before breakout $COIN — $195 Buy Zone: $140–150 Why: Bitcoin correlation support prior institutional accumulation zone $MU — $505 Buy Zone: $320-330 Why: AI memory demand support with strong earnings-driven floor $GOOGL — $345 Buy Zone: $290–300 Why: Mega-cap support aligned with long-term trend and funds rotation $AAPL — $270 Buy Zone: $235–245 Why: Strong demand zone from prior base and institutional buying $META — $672 Buy Zone: $540–550 Why: Momentum reset into prior breakout with heavy institutional support $MSFT — $420 Buy Zone: $360–370 Why: AI leader with strong support near previous consolidation range $AMZN — $257 Buy Zone: $200–210 Why: Retail cloud support zone with consistent buyer interest $TSLA — $373 Buy Zone: $300–320 Why: High volatility reset into major demand and prior breakout $SNDK — $1040 Buy Zone: $600–650 Why: Premium valuation pullback into institutional accumulation zone $SIVE — ~ 30 Buy Zone: 16–18 Why: European small cap resets into base with asymmetric upside $WOLF — $28 Buy Zone: $16–18 Why: Semiconductor cyclic bottom range with prior strong demand $INTC — $81 Buy Zone: $55-60 Why: Turnaround narrative support with heavy long-term positioning $AMD — $317 Buy Zone: $230–240 Why: AI chip demand pullback into high conviction accumulation zone Remember, when Jerome Powell became the FOMC chair in February 2018, SPY crashed 4% in 1 day. The new FOMC chair Kevin Warsh comes in on May 15, 2026. ♻️RESHARE this post and share 1 comment for my list of PRICE TARGETS for May. Ill post it later this week for you.

Tesla Semi feels like a sports car to drive

First (supervised) FSD approval in Europe! Congratulations to the Tesla team and thank you to the regulatory authorities in the Netherlands for all the hard work required to make this happen.

Indian Films Industry is healing. Audience as well as Makers (not all).

I’m very grateful that we have an intelligent, dignified, respectful Prime Minister at the helm of our great country Canada…Highly respected at home and all around the world.

BREAKING: Tesla has officially released FSD V14.3 I'm downloading it in my Model Y right now. Here's everything that's new: • Improved parking location pin prediction, now shown on a map with a P icon. • Increased decisiveness of parking spot selection and maneuvering. • Rewrote the Al compiler and runtime from the ground up with MLIR, resulting in 20% faster reaction time and improving model iteration speed. • Enhanced response to emergency vehicles, school buses, right-of-way violators, and other rare vehicles. • Mitigated unnecessary lane biasing and minor tailgating behaviors. • Improved handling of small animals by focusing RL training on harder examples and adding rewards for better proactive safety. • Improved traffic light handling at complex intersections with compound lights, curved roads, and yellow light stopping - driven by training on hard RL examples sourced from the Tesla fleet. • Upgraded the Reinforcement Learning (RL) stage of training the FSD neural network, resulting in improvements in a wide variety of driving scenarios. • Upgraded the neural network vision encoder, improving understanding in rare and low-visibility scenarios, strengthening 3D geometry understanding, and expanding traffic sign understanding. • Improved handling for rare and unusual objects extending, hanging, or leaning into the vehicle path by sourcing infrequent events from the fleet. • Improved handling of temporary system degradations by maintaining control and automatically recovering without driver intervention, reducing unnecessary disengagements. Upcoming Improvements: • Expand reasoning to all behaviors beyond destination handling. • Add pothole avoidance. • Improve driver monitoring system sensitivity with better eye gaze tracking, eye wear handling, and higher accuracy in variable lighting conditions.

Is @X broken ?