ダブルヨッシー

半導体作ってます

[ダブルヨッシー @DoubleYoshi0232]

ウェンビーの3pt

[ダブルヨッシー @DoubleYoshi0232]

あまりにも素晴らしい試合だった😭

[ダブルヨッシー @DoubleYoshi0232]

ニックス強し！

[ダブルヨッシー @DoubleYoshi0232]

このジャッジはうーむ🤔

[ダブルヨッシー @DoubleYoshi0232]

ブランソン大丈夫かな

[ダブルヨッシー @DoubleYoshi0232]

キャッスルうますぎる😊

[ダブルヨッシー @DoubleYoshi0232]

$mrvlが先導株

[ダブルヨッシー @DoubleYoshi0232]

やはり$oust😎

[Coffee House Stocks @CoffeeStocksGuy]

This morning I posted on $OUST's $AMZN warrant whilst it was down 4%. Now it's up 9% today while the indexes are red.

Today $AMZN committed €10B to expand and modernize its European fulfillment network, unveiling a next-gen Proteus robot built to operate across entire sites on conversational commands, alongside its Vulcan and STARK robotic systems.

Amazon holds a warrant in Ouster that vests only as Amazon buys Ouster's lidar. As of the last 10-Q it's 87.6% vested - 2,871,875 of 3,277,155 shares - with 142,890 vesting in Q1 alone. Amazon kept paying.

You'll see it claimed all over today that Proteus runs Ouster's lidar. That's reported, not confirmed - Amazon hasn't named a sensor supplier. What's confirmed is the money behind that 87.6%: the warrant vests against a $100M cumulative-spend cap, so Amazon has paid roughly $88M toward it. A €10B robotics buildout is the demand backdrop that spend runs on.

$OUST's Rev8 lidar is qualified for $NVDA's DRIVE Hyperion platform - Nvidia's reference stack for Level 4 autonomous vehicles - and integrated across Jetson.

Q1 product revenue grew 55% YoY. The $55M Stereolabs deal folds cameras and AI compute into one perception stack.

The market is starting to price Ouster as the U.S.-aligned perception layer for Physical AI - robotics, autonomy, defense - not just an automotive lidar name.

A 9% gain on a red day says positioning is rotating toward that read.
$OUST $AMZN $NVDA

[The Income Wheel @theincomewheel]

$NOK Huge news that’s going under a lot of people’s radar came out:

Nokia’s Chief of Staff bought $706k worth of stock at $15.81

[ダブルヨッシー @DoubleYoshi0232]

nba　サンダー vs スパーズ　最高に面白いな

[ダブルヨッシー @DoubleYoshi0232]

$nok　追加

[VISION IA @vision_ia]

Première mondiale ! Un robot a travaillé 200h non-stop, et trié plus de 249 000 colis à lui seul. Pas une seule panne, pas une seule pause et tout a été diffusé en live pour le prouver.

À la base c'était un défi de 8h. Le robot a tellement bien tourné qu'ils ne l'ont jamais coupé. 200 heures plus tard il tournait encore.

Le truc de fou, c'est qu'il y a quelques jours un stagiaire a fait un duel contre le robot sur un shift de 10h. Le gars a gagné. De justesse, 2.79 secondes par colis contre 2.83 pour la machine. Sauf que le stagiaire a fini avec l'avant-bras en vrac. Le robot lui il a continué 190 heures de plus sans broncher.

Et c'est là que je comprends pas. On a littéralement un robot humanoïde qui fait un boulot d'entrepôt en continu, sans supervision, tout est géré par son IA embarquée. Si le robot bug, il se reset tout seul et reprend. Si il a un souci hardware, il sort de la ligne et un autre prend le relais automatiquement.

Malgré tout ça, la majorité des gens ne voient pas ce qui arrive. On scrolle, on passe, on se dit "c'est cool" et on oublie. Mais c'est pas "cool". C'est un changement de civilisation. Les tâches physiques répétitives vont être automatisées.

La robotique humanoïde c'est le sujet dont personne ne parle assez. On commence à peine à parler d'IA avec bien du retard, sauf qu'il faut comprendre que l'étape d'après c'est l'IA incarnée, cad, les robots.

[ダブルヨッシー @DoubleYoshi0232]

見るだけてオーバーフィッティングしそう

[ダブルヨッシー @DoubleYoshi0232]

やっぱバムさん天才だわ
リターン���視/守備重視/バランス重視組み合わせ
WF/CPCV
カルマンフィルター/動的ポジションサイジング
時間軸を変えた戦略を同時並行で動的に��イジング固定ルックバックに加えてマルチプル（加重平均）ルックバック/ALM 動的ルックバック調整

[Peter - Cracking Markets @SystematicPeter]

Seeing a US stock rotational strategy claim +195% annualized with Sharpe 2.92 made me stop and double-check what I was looking at.

Published methodology sounds totally “normal”:

- composite momentum / multi-factor score
- QQQ trend filter
- buy top-ranked stocks
- rebalance daily

So if the edge isn’t exotic… how can the results be this good?

First thing I suspect: survivorship bias.

Survivorship bias (plain English):
- Backtest using today’s universe (current constituents/symbols).
- That’s like backtesting 2015 while “knowing” which AI-related stocks would end up being the big winners.
- But historically, that universe was messy: losers got delisted, acquired, or went bankrupt - and often vanish from common datasets.
- Result: you’re effectively testing only the survivors, and performance can look unreal.

Of course it could also be other errors:
lookahead / non-point-in-time factor data etc.

I just don’t believe performance like this is real without a catch.

What’s your base-rate expectation for a clean US momentum rotation like this? Would you trust numbers this high?

Stats: https://t.co/9ffsxDf7Wg

[ダブルヨッシー @DoubleYoshi0232]

@MomentumRotate 自分でも同様のコードを作成し、20年分のデータで検証したところ、CAGRは約13％程度でした。
現在組み込まれている銘柄は、株価上昇後にS&P500へ採用されているケースも多いため、その上昇前のパフォーマンスは取得できていない可能性があるのではないかと考えています。(サバイバーシップバイアス)

[ダブルヨッシー @DoubleYoshi0232]

poetすご

[Sean trades @SRxTrades]

Memorize these setups over the next few months...

We will get another round of massive bases like this:

Since this post

$INTC +192%
$RKLB +80%
$TSLA +30%
$NBIS +120%

From consolidation ---> expansion

Many of these moves just starting.