DocTrader

#Optionselling #optiontrading I have made a PDF copy of “The Wheel Strategy” available to download. doctrader.gumroad.com/l/ixrpe Like & repost to spread the knowledge. I will be producing more content in the future. I sell weekly CSPs (cash secured puts) on #SPY & #SMH with delta 10-15. and weekly/monthly options with delta 5-7 on mega caps and #mag7 stocks likes of #AAPL #AMZN #GOOGL #JPM #META #MSFT #TSM #NVDA #JNJ Apart from delta I use monthly chart with EMA 50 & 200 days, RSI and monthly low as my reference.

@SJosephBurns And now replace physicist with physician!

"You can teach a physicist finance but you cannot teach a finance person physics." — Jim Simons.

@SJosephBurns Yup but to that you need to dabble in 50 assets

“You don’t get rich by diversifying into 50 mediocre assets. You get rich by finding 2 or 3 asymmetric home runs.” — Stanley Druckenmiller.

@LarkDavis Bit they need Claude, grok and Gemini.

My kids won't have any smart phones until they are 16. I'll probably give them a dumb phone so we can call and text them, that's it. They don't need TikTok or Instagram.

@banquetsbetter Nice one. Just wondering what spread you are keeping 30/40 points on each side? Yesterday it did well for me initially. I came out with $210 profit. Later on it went through top side of the spread. I kept 7405 target with 30 points spread on either side.

Post nightshift $SPX iron condor for $285 on the day and managed to get a couple hours sleep before selling some $TSLL puts Then logged some miles with the dog 🐶

@kashyap286 I get that you not a FA. But emotion was you long as well as short in your thesis.

@OptionsSurgery Asking to go long? No, I'm not asking you to do anything. I'm simply sharing my thoughts.

The SoftBank long is played out. Pat yourself on the back for the easy money and move on to the next setup.

@saxena_puru @jeffreycpacfa You seem to be more knowledgeable than Elon Musk, Jenson Huang, Lisa Su, Satya Nadela and Sundar Pichai collectively! Staying away from all your funds.

@jeffreycpacfa We're invested in AI stocks, not indices.

If history is any guide, the AI trade will likely end in an epic bubble within 1-2 years. No party goes on forever and the hangover will also be equally severe.

@banquetsbetter That was an excellent trade. Especially with such a massive volatility

Garmin reminding me how terrible my sleep is while working nighshift😅 Did manage to secure $345 on $SPX spreads And a 30 minute run with Xena before shift 3/3 tonight

$ASTS has bounced off the 50D moving average and the support zone. Next target with $SPCX IPO in 4 weeks time easy to reach the first target of 104. $NASA

@banquetsbetter This is the exact range I played today. As I’m new to this iron fly and there is opex later on I closed it for small profit of $50 #SPX

Imagine if we trade in this box all day $SPX

@banquetsbetter Yes do iron fly on spx. It very rewarding.

We had this chat few days back when you said 10 millions is not enough to retire. I sled you the reason and you only said doing maths it’s not possible. I asked you what maths and now it makes sense as that money is in your retirement account you can’t touch it without paying significant taxes.

@OptionsSurgery brother i've been sharing it non-stop for 6 years

Agreed. $11.4M in a retirement account was the worst decision I have ever made. Doing it again in a real brokerage account this time.

Three ETFs Targeting the Next AI Infrastructure Bottlenecks The first wave: own the obvious AI leaders. But investors may now need to ask where the bottlenecks are forming. Three ETFs offer a useful framework for this shift: SMH, DRAM, and EUV. Each targets a different layer of the AI infrastructure chain. SMH gives broad semiconductor exposure, DRAM isolates the memory bottleneck, and EUV targets lithography, photonics, and optical infrastructure. SMH is the most institutionalized option. It provides exposure to large semiconductor and semiconductor-equipment companies rather than one narrow choke point. Key holdings include $NVDA at 17%, $TSM at 10%, $AVGO at 8%, $INTC at 8%, $AMD at 7%, $MU at 6%, $TXN at 5%, and $KLAC at 4%. This makes SMH the most natural core holding of the group for investors who want exposure to the full AI hardware stack. It covers GPUs, foundries, custom silicon, CPUs, memory, analog chips, and semiconductor manufacturing tools. The trade-off is lower purity. SMH is not a single bottleneck bet. It is a broad semiconductor ecosystem bet. DRAM is more targeted. It is designed around the AI memory squeeze, with exposure to HBM, DRAM, NAND, and storage demand. The fund is highly concentrated. Its largest positions are SK Hynix at 28.15%, $MU at 27.16%, and Samsung at 19.67%. Together, these companies dominate the global memory supply chain. Smaller holdings such as Kioxia, $SNDK, $STX, $WDC, Nanya, and Winbond add exposure across NAND, SSDs, HDDs, and specialty memory. DRAM is arguably the cleanest expression of the AI memory bottleneck. It is also more momentum-driven and concentrated than SMH, with a higher 0.65% expense ratio. EUV is the most specialized and higher-risk ETF in the group. It focuses on the “light layer” of AI infrastructure: photonics, EUV lithography, optical networking, semiconductor inspection, and precision manufacturing tools. Holdings include $TSM at 9.52%, $ASML at 7.97%, $GLW at 5.19%, $LRCX at 4.98%, $AMAT at 4.84%, $LITE at 4.46%, $CIEN at 4.32%, and $KLAC at 4.07%. AI data centers increasingly face limits around power, bandwidth, packaging, and interconnect speed. Photonics and advanced lithography may become critical as compute demand scales. Framework: SMH = core AI semiconductor exposure DRAM = memory bandwidth and capacity bottleneck EUV = lithography, photonics, and optical infrastructure bottleneck

🚨 $EUV : Finally — The first U.S.-listed Optics ETF is here. Corgi Lithography & Semiconductor Photonics ETF — actively managed, 41 holdings, built to capture the photonics value chain powering AI infrastructure. The top 10 reads like a who’s who of the AI optical interconnect & EUV lithography stack: 1.$TSM — Taiwan Semiconductor — 9% 2.$ASML — ASML Holding — 8.04% 3.$GLW — Corning — 5.25% 4.$LRCX — Lam Research — 4.94% 5.$AMAT — Applied Materials — 4.76% 6.$LITE — Lumentum — 4.49% 7.$CIEN — Ciena — 4.20% 8.$COHR — Coherent — 4.11% 9.$KLAC — KLA Corp — 4.03% 10.$MTSI — MACOM — 3.33% The thesis in one line: every AI rack needs Optics and Laser !! – $ASML owns EUV. No EUV, no leading-edge AI chips. – $TSM is the foundry funnel — every NVIDIA, Broadcom & Marvell die runs through it. – $GLW, $LITE, $COHR, $CIEN, $MTSI = the optics & interconnect supercycle (CPO, 1.6T, silicon photonics) – $LRCX, $AMAT, $KLAC = the WFE picks-and-shovels behind every fab buildout Notable names further down the book: $NBIS (neocloud) $WOLF (SiC) $OUST (lidar) — broadening into adjacent photonics plays. After DRAM, optics is the obvious next supercycle to package 📈

@gurgavin Oh ya by miles

IPO = IT’S PROBABLY OVERPRICED DONT GET CAUGHT HOLDING THE BAG :)

@alc2022 If that alone matrix then what’s wrong with $NKE and $PYPL.

Many investors have learned the hard way that stock prices track free cash flow per share over the long term They sold $PLTR at $30 and $AMD at $100 and they both took off after Many will make the same mistake with stocks like $HIMS and $DUOL, confusing price and value

@Mr_Derivatives No way matey it’s going down!

We buying this -9% premarket dip in $IREN right?!

@valerijatrades1 You serious? Without knowing the structure and the reason behind the finance?

Good morning friends Wouldn’t his be a good opportunity to get back in $IREN

And this aged well! $IREN execution risk is real.