$AMD is a multibagger stock | PT 300-350 before 2028

22 janv.

- Anyone who wanna compound wealth tax free. Keep DCA'ing in AMD for next 1-2 years to get rewarded handsomely.

- This company is expected to ramp up in revenue for the next 5 years. We are in early stages of the AI and application are expected grow exponentially and will disrupt every domain you could think of.

- Honestly, it's a gift to have AMD cheap because it's completing it's correction phase.

- Price target is 300-350 before Year 2028. Don't panic with 5-10% correction if you have solid conviction in the company. Scam street would hold it down until they load the boat but so should you!

- Patience = Paytience!

22 janv.

Note

Add AMD in your tax sheltered account*

24 janv.

Note

I know most of you are technical trader. But let's talk about fundamentals and see if support the thesis or not.

EPS for AMD in

2025: 4.97
2026: 6.88
2027: 9.65

Revenue growth rate: 36%, 21%, and 20
EPS growth rate: 50.03, 38.54%, 40.18%

Company growing EPS above 35% deserves a P/E multiple of 30 ( Conservatively )

Ideal price target = forward EPS * forward P/E

Price target in 2025 -> 4.97 x 30 = $149.1
Price target in 2026 -> 6.88 x 30 = $206
Price target in 2027 -> 9.65 x 30 = $ 289.5

Please note that multiple compresses & expand based on euphoria and fear in the market. If euphoria kicks in the forward p/e can easily be 40/45 and if fear kicks in the forward p/e multiple could compress to 15/20

Extremely bear case scenario, AMD misses revenue massively, there's recession fear blah blah

In that case, P/E multiple could go down to 15

PT 2025: 4.97 x 15 = $74.55
PT 2026: 6.88 x 15 = $103.2
PT 2027: 9.65 x 15 = $144.75

24 janv.

Transaction en cours

Bull Case ( Forward P/E multiple: 35 )

PT 2025 : 4.97 x 35 = $173.95
PT 2026 : 6.88 x 35 = $240.8
PT 2027 : 9.65 x 35 = $337.76

26 janv.

Note

Deepseek - A model chinese researchers developed and trained was trained under 6 millions whereas researchers in US has burned more than bllions in training.

Art of training model doesn't only depend in how strong the compute performance is but also fine tuning and model architecture. I believe companies will start focussing on doing more with less. Scarcity is mother of all invention.

This should lead to weakening demand in NVDIA for training.

- Most of the companies wants to leverage AI capabilities which require inferencing. AMD inferencing server is cost effective and performant.

- AMD announced integration with deepseek for their new chips!

4 févr.

Note

Let's see how AMD roll for the earnings.

My plan:
- if it goes up: add more shares
- If it goes down: add more shares