Kmadd

40 posts

Kmadd

Kmadd

@Kmadd16

Stocks should go up, not down.

Katılım Haziran 2022
1.2K Takip Edilen105 Takipçiler
Kmadd
Kmadd@Kmadd16·
@investingluc Best wishes on the venture Luc! Amidst all the noise, slop, and grifting on here, you've offered genuinely creative and unique theses alongside regular banger educational takes along the way. Humble, yet powerful. Go well.
English
2
0
1
58
Luc
Luc@investingluc·
ANNOUNCEMENT. Swinging Shares. We’d love to have you. Some of the best traders on X have already joined. swingingshares.com
English
13
1
49
8.4K
Kmadd
Kmadd@Kmadd16·
@ChairmansLedger Love this, and love me some Taleb🏋️‍♂️. Once I grasped convexity it changed not only how I view investment, but how I go about my life. Seeking asymmetric gains and optionality. I've been investing for just under a year and doing well, but very mindful of 'genius in a bullmarket'
English
1
0
2
112
The Chairman's Ledger
The Chairman's Ledger@ChairmansLedger·
A lot of us are fooled by randomness. Even me. Often. Being fooled by randomness is not just losing money. It’s winning and learning the wrong lesson. A stock runs, a trade works, a risky decision pays off, and suddenly everyone calls it skill. The thesis was perfect. The sizing was genius. The courage was obvious. Maybe. Or maybe liquidity bailed you out. Maybe timing bailed you out. Maybe the market rewarded bad behavior before punishing it later. Maybe you crossed the road blindfolded and made it to the other side. That is the dangerous part. The win is not the problem. The problem is building an identity around a result you did not actually earn. Winning can make you smarter, but only if you are honest about why you won. Otherwise it just makes you cocky. Markets eventually test the difference.
English
7
2
79
4.4K
Kmadd
Kmadd@Kmadd16·
@ChairmansLedger Gaining a lot from your fishing lessons, please keep it up. You can throw the tickers back in the ocean.
English
0
0
0
10
The Chairman's Ledger
The Chairman's Ledger@ChairmansLedger·
It is very clear what gets rewarded on X. Attach a ticker and everyone pays attention. No ticker, no obvious trade, no immediate money to follow, and the room gets quieter. That is the junk food vs healthy food problem. Stock picks are easy to consume. Frameworks are harder. But frameworks are what actually compound. The ticker may make you money once. The right way of thinking can make you money for the rest of your life. There’s a “teach a man to fish” lesson in here somewhere. Unfortunately, fish get more impressions than fishing lessons.
English
18
5
168
12.1K
Kmadd
Kmadd@Kmadd16·
@Venu_7_ Nice one! Keen to add to the bullish animals basket: WOLF 🐺, PENG 🐧, PURR 🐱... HAWK? 🐦‍⬛
English
0
0
2
61
Venu
Venu@Venu_7_·
Everyone wants to own the AI agents. Few are paying attention to the infrastructure managing them. That's where $FROG comes in. 🐸
Venu tweet media
English
12
10
92
12K
Kmadd
Kmadd@Kmadd16·
@crux_capital_ Brilliant. I prefer to be more concentrated so want to pick one! Also look for more commercial TAM, not just defence (defence bootstrap is ok). $BKSY more tactical defence-oriented. $SATL and $SPIR options here too, but extended, esp SATL. $PL best risk/reward here, but wont 10x
English
0
0
0
440
Gaetano
Gaetano@crux_capital_·
@Kmadd16 You summed it up pretty well for me! I like the torque on BKSY but like the overall positioning of PL better. I don't have exposure to either yet but I am thinking I might do a basket approach and allocate a certain % to the group of em
English
1
0
1
382
Gaetano
Gaetano@crux_capital_·
It is clear to me that I see this theme differently. When I started positioning into the optical supercycle my focus was on the supply chain. Raw materials Susbtrates Epitaxy Testing etc. Chokepoints / Bottlenecks But when I am going about building my Physical AI portfolio, I am looking at it through a different lens Yes you can have a literal supply chain for humanoids or warehouse robots from the smallest pieces to the deployed system. And that is part of it But I am looking at it through LAYERS What are all the different sub-industries that will benefit as Physical AI gets adopted? And when I think about Physical AI, I am thinking broadly about AI interacting with the physical environment That is very vast. And that's why the research is so exciting You can have exposure to data / simulation companies like $PL $INOD $BKSY $U $TASK You can have exposure to edge like $OSS $CEVA $AMBA You can have exposure to lidar like $OUST There are so many layers to have exposure to that will benefit as AI gets adopted in the physical world. Some make money now Others won't make money for years So there is opportunity across the spectrum
Gaetano@crux_capital_

I believe Physical AI Is the Next Supercycle It is much much more than humanoids There are companies making money NOW And there are companies that will make a lot of money in several years There are so many layers to this investment landscape And I am just now covering it in depth on my Substack If you are interested in the research behind this sector, check this out: cruxcapitalgroup.substack.com/p/the-next-maj…

English
11
3
69
19.2K
Kmadd
Kmadd@Kmadd16·
@babyfolio Love this - keep cranking these out Baby. Shopify founder Tobi Lütke goes hard on SC2 x.com/davidsenra/sta…
David Senra@davidsenra

My conversation with Tobi Lütke (@tobi), co-founder and CEO of Shopify. 0:00 Companies as Social Technology 5:27 The Value of Reading Books: Cheat Codes for Life 7:28 Post-IPO Crisis: Cosplaying as a CEO 7:54 Competition vs Rivalry: The Power of Healthy Competition 16:02 COVID as a Turning Point: Rebuilding the Executive Team 18:21 Hiring Founders: Building a Team of High-Agency People 26:49 Shopify OS: Engineering the Company from First Principles 36:48 Compensation Innovation: Giving Employees Full Agency 40:41 The Psychology of Identity and Affirmations 48:43 Differentiation Over Perfection: Making It Your Own 50:31 Context Podcast: Documenting Decision-Making 1:26:36 The IPO Decision: Going Against Silicon Valley Orthodoxy 1:35:08 Building a Company Worth Working For 1:41:50 Hiring for Spikiness: Finding Non-Conformists 1:48:28 Office Design Philosophy: Creating Space for Excellence 1:58:54 Video Games as Business Training: StarCraft Lessons 2:07:06 AI Revolution: 2026 and Beyond 2:11:44 Focus on Craft: The Unquantifiable Elements of Excellence 2:21:08 Survivorship Bias: The Importance of Entrepreneurial Exposure 2:23:22 Closing Includes paid partnerships.

English
0
0
0
23
Kmadd
Kmadd@Kmadd16·
@peonyKingOF @pennycheck Hey @peonyKingOF , just noticed I got blocked by Mystic today. Can you please do me a favour and check why? I hope it wasn't because this was a misunderstanding about me saying he was doing AI slop - I was saying I wished everyone used it well like him!
English
0
0
0
5
Kmadd
Kmadd@Kmadd16·
@peonyKingOF Agreed, not all AI is slop, I use it extensively. BUT there's a difference between using it for your research and others just firing it out uncritically. Context is king. I think @pennycheck does a great job for example, clearly uses it but in a responsible and transparent way.
English
1
0
1
12
peony
peony@peonyKingOF·
Any commentary on a stock longer than a few sentences likely draws from AI-generated material. Can be lazy copy pasta, can be an original idea with many hours of work put into it. Reddit, X, substack, a write-up by an investment bank, a financial news article. Doesn't matter. What's more, the percent of content AI generated has clearly outstripped the percent that is human generated by a large factor. We have arrived at the human caterpillar phase - where when you ask an LLM something odds are much of what its ingesting something another LLM produced. Beats me what the implication is here.
peony tweet media
peony@peonyKingOF

The thing where ai uses ai generated content as source material and things get dicey fast is already happening. Asked about a stock and it's pulling from substacks and other sources clearly created by AI. The result is an buzzword soup that both painful and difficult to read: "a directional tailwind rather than a core causal thesis" "capex thaw" "touchpoint" "narrative accelerant" "convexity" "picks-and-shovels" "margin/stickiness story" This actually seems to be worse with Opus 4.8.

English
5
0
12
2.2K
Kmadd
Kmadd@Kmadd16·
@Yeah_Dave Thanks so much for sharing this! Agree on the memory trade, if it keeps getting more expensive then it promotes investment into tech that solves this. I added to $PENG on CXL, and $AEDA for hybrid-bonding. Can you talk through your power semi picks?
English
0
0
0
187
YeahDave
YeahDave@Yeah_Dave·
Sensing some market fatigue. Hopefully we get a brief period of healthy consolidation. Sold a good chunk of $DRAM in this $66-$68 range. Could be a bit "early," but the memory run-up has been ridiculous and I wanted to add to the cash I built up from the space names. The narrative changing can also affect stock prices before the reality actually hits. I've been increasing allocation into: -CXL/NAND/HBF: $ALAB, $PENG and watching for a dip to add to Kioxia 285A. $SNDK if we get a big pullback. -Photonics/CPO: $ALAB, added more $AAOI, plus smaller $XFAB and $SIVE; considering $SOI -Power-semi/800V: added to $WOLF; have $NVTS, $IFX, $XFAB -Testing: added to $AEHR; considering $COHU -Token Factory: would add to $CRWV again in the $90s, bought back some $BRUN I undersized some of these initially (lack of knowledge/confidence and a lot of capital was tied up in Space). Will look to add to any of these on a big pullback. NFA, just my opinion.
YeahDave@Yeah_Dave

Going to start trimming and capturing some profits after multiple +100% weeks. Will likely start filling 13Fs soon, I gotta clean things up a bit. In particular Space sector holdings are up an eye watering amount and I was strongly leveraged in this sector going in. I want to gradually scale out into $SPCX IPO on some of it. $RKLB and $ASTS are by far my largest positions and I don't plan on that changing. Trimmed: $DRAM - China entering the game sooner than I expected, will start to gradually scale out. $FLY - captured from $20 to ~$50, will leave a little bit into the $SPCX IPO $RDW - trimming half after $9 to $18. Cool projects and engineering, terrible management track record and margins/dilution. Some early signs of a turn around in Q1. Market cap is now basically double prior ATH. Will continue to scale out into the $20's/$SPCX IPO then watch to see if they are evolving into something I can hold long-term. $ASTI - going to start scaling down gradually. Size is too big (started at just under 5% of company at $2) and I need to see more concrete progress rather than seemingly empty statements. $BKSY - up over 600%, size is too big now/taking some profits. $VELO - traded this for ~500%+, going to trim from $20-$30 range into IPO. Very interested in their decentralized manufacturing move recently. $OUST - held for over a year so going to trim LTCG positions a little into the $40's. Interesting general robotics play long term but they need to shrink things down much further to be viable for the humanoids. $TE - trimmed around $9, been in since ~$2 with big size so it got too big relative to the weight I want it at now. Also will be taking profits/closing on $VOYG, $PL. Going to keep $BE, $LUNR, $OSS, $WOLF, $NVTS, $IFX, $PENG, $ALAB, $INFQ, $NBIS, $JOBY, $QS, $BAER. Sorry for the ticker spam, but hopefully now people will stop asking. Not financial advice. Holdings could change any moment. These aren't all of my positions (don't want to get doxxed with 13F).

English
21
3
163
56.5K
Kmadd
Kmadd@Kmadd16·
@wolfgangkasper Which discord you in bro? I was early $MRLN too - it just seems a matter of time with this stock.
English
0
0
1
264
Kmadd
Kmadd@Kmadd16·
@Yeah_Dave Add my voice to those asking for some tips on how you approach on managing risk / taking profits. You're a real one on here, would appreciate your take! It's a weakness of mine that I'm keen to work on and learn.
English
0
0
1
20.6K
YeahDave
YeahDave@Yeah_Dave·
Hardly anyone talks about reducing risk or taking profits. Just more and more grandiose price targets. Many of these are now down 30% or more. Let's start valuing risk management and profit taking. Capital preservation is crucial for compounding wealth.
YeahDave@Yeah_Dave

Going to start trimming and capturing some profits after multiple +100% weeks. Will likely start filling 13Fs soon, I gotta clean things up a bit. In particular Space sector holdings are up an eye watering amount and I was strongly leveraged in this sector going in. I want to gradually scale out into $SPCX IPO on some of it. $RKLB and $ASTS are by far my largest positions and I don't plan on that changing. Trimmed: $DRAM - China entering the game sooner than I expected, will start to gradually scale out. $FLY - captured from $20 to ~$50, will leave a little bit into the $SPCX IPO $RDW - trimming half after $9 to $18. Cool projects and engineering, terrible management track record and margins/dilution. Some early signs of a turn around in Q1. Market cap is now basically double prior ATH. Will continue to scale out into the $20's/$SPCX IPO then watch to see if they are evolving into something I can hold long-term. $ASTI - going to start scaling down gradually. Size is too big (started at just under 5% of company at $2) and I need to see more concrete progress rather than seemingly empty statements. $BKSY - up over 600%, size is too big now/taking some profits. $VELO - traded this for ~500%+, going to trim from $20-$30 range into IPO. Very interested in their decentralized manufacturing move recently. $OUST - held for over a year so going to trim LTCG positions a little into the $40's. Interesting general robotics play long term but they need to shrink things down much further to be viable for the humanoids. $TE - trimmed around $9, been in since ~$2 with big size so it got too big relative to the weight I want it at now. Also will be taking profits/closing on $VOYG, $PL. Going to keep $BE, $LUNR, $OSS, $WOLF, $NVTS, $IFX, $PENG, $ALAB, $INFQ, $NBIS, $JOBY, $QS, $BAER. Sorry for the ticker spam, but hopefully now people will stop asking. Not financial advice. Holdings could change any moment. These aren't all of my positions (don't want to get doxxed with 13F).

English
19
7
199
24.2K
Kmadd
Kmadd@Kmadd16·
@jiahanjimliu You're a treasure Jim, thank you for the constant stream of alpha! It's a fascinating sector with cool tech, but not too many clear asymmetric opportunities (that I can find anyway).
English
1
0
0
112
Jim Liu
Jim Liu@jiahanjimliu·
Radar Report $AMBA: Neutral, Not Adding Myself Ambarella founded 2004 specializes in Edge AI SoCs with ARM Cortex CPU at it's core. Pros: 1. Hanwha deal is great 800m+/10 years. That's 480m profit/10 years or 48m/year. 2. GoPro HERO uses. 3. Technical expertise is camera pipeline, ISP, video compression, CVflow integration around the ARM Cortex CPU. 4. 390m revenue for 2026 at 3.2B market cap is fair 6 P/S with 59.9% margins and 17%-37% growth. Cons: 1. Tesla and Waymo have majority self driving market do not use Ambarella. 2. DJI used to but no longer uses Ambarella. 3. Google Nest uses but no longer uses Amarella. 4. Nvidia isn't in exactly the same segment but is in a slightly higher power consuming segment that's poised for what I see as larger growth. Good and Bad: 1. ARM does CPU design and chip around CPU is what Ambarella does. AMR Cortex CPUs chips are in competition with TI, Qualcomm, Mobileye, TI, NXP, Renesas, and Chinese companies: Novatek, SigmaStar, HiSilicon, Allwinner. Competition is high but Amarella is currently able to compete. Conclusion: Financial ratios seem healthy but I cannot underwrite this for myself unless it can break into the slightly higher power segment and compete with Nvidia Jetson Orin NX or Jetson Thor. I also high chance of self driving as dominated Tesla and Waymo.
MoMoMacro@MoMoMacro

$3.2Bn cap, under 8x sales for the chip that runs the eyes of every robot and self-driving car. The crowd pays up for $NVDA to train the AI brain; almost no one buys the edge vision chip that lets the machine actually see (the difference between studying for the test and taking it live). That's the chokepoint: edge vision SoCs (low-power chips that read a camera feed right on the device, like a brain inside a doorbell) are brutal to build at spec, and $AMBA is the pure-play. The May 28 Hanwha deal runs $800M+ over a decade. 64x forward earnings looks rich until revenue inflects off a $100M quarter. I add more under $60. Where I'm wrong: if vision folds into the big SoCs and $AMBA's design wins never compound.

English
3
2
25
8.8K
Flow God
Flow God@FL0WG0D·
$1.7 million into these $PENG calls
Flow God tweet media
English
10
10
173
68.4K