🌻另一個Zoom會議(第二次貼......有補上一些內容)
繼上次的年報導讀會議後, 讓我們再做另一個會議! 這次很榮幸邀請到一位對估值很有見解的股友前輩來帶大家了解估值(恩, 這次我會是主持人, 不是主講人).
主題: 估值(valuation)分享會(Cat: 這不算基礎的估值會議)
主講人: 小揚(from安泰價值投資)
https://www.facebook.com/antaiinvestment (此為小揚的粉絲頁)
參與者: 具基本估值能力. 若打算參加者, 請事先跟我(請私訊)提出一個關於估值的case study, 到時候可在會議中分享(最好是以投影片形式呈現, 這樣到時候好跟大家分享). 若有估值的問題, 也可以提出.
Case study可以是美股, 也可以是台股.
時間: 台灣時間07/10 (周六)晚間9點.
預計一個小時(不會像上次那樣冗長了😅): 前30分鐘由小揚做分享, 後30分鐘大家分享估值案例&提問
進行方式: 以Zoom進行(之後會私訊會議資訊給參與者)
🌻Morgan Stanley Mid-year Investor Outlook: A tricky transition
https://www.morganstanley.com/ideas/midyear-2021-global-markets-outlook
🌻在您投資生涯中, 有沒有一些觀念讓您受用很多?
下面這位投資名人的好觀念影響我很深. 他的意思是, 一般投資人, 只要能説出三個買一家公司的理由, 就很夠了. 這也迫使我, 每次在買股票時, 問自己對這家公司的了解有多少. 也會去衡量公司的優點與缺點在哪裡.
"It is vital (重要的) that you know what you own, that if I asked you on the street why you like a certain stock, you can give me three reasons. If you don't know how they make their money, who their key clients are and what they make if, then I will tell you that you are over your head and should not own individual stocks."
全文在此:
Jim Cramer: In Times Like This, Go for the Easy Money
Look at the stocks you own. Can you tell me why you've got them? If you can't answer the following three questions, then have a look at several I like right now.
We've endured the meme stock craziness, with all of its love for heavily shorted stocks. We have watched the collapse of bitcoin to levels viewed as shocking, even if they are still more than double where they were not that long ago. We've dealt with Fed officials making it clear that they are no longer on the side of the bulls or the bears. They are on the side of job growth, but are wary of inflation. We've seen the end of the rush to get vaccines, which means that millions of people are going to get the new COVID variant, because there is no natural immunity to it. We've watched as the hopes for an infrastructure bill have collapsed. We've endured shortages of everything from chips to plastic to imported goods and labor.
And we're still standing, yeah, yeah, yeah.
Yep, we are in one of those halcyon moments, where the masks are off -- even if they shouldn't be -- and Americans are back doing what they do best: consume, spend, go out to eat and then consume and spend some more.
There are times in the stock market where the collective mindset is revealed. This is one of those times: Things are cool, it's not a big moment, there's no real news for a bit, it's the historically strong period and we can reach some conclusions about where we are.
When things are like this, it is important to remember that buyers like to revert to tried-and-true companies that thrive no matter what. These are companies that have an edge and are better at what they do than other companies.
You know that I am a great believer in index funds, that the average person doesn't have the time or the inclination to research individual stocks. It's a difficult barrier. I think you need to make time to read the quarterly report and listen to the conference call, to Google articles and, if possible, get some research about the companies you own. It is vital that you know what you own, that if I asked you on the street why you like a certain stock, you can give me three reasons. If you don't know how they make their money, who their key clients are and what they make if, then I will tell you that you are over your head and should not own individual stocks. I am reminded by this, because, once again, without a mask, I can be recognized and if I am not holding "Nvidia the Second," I can carry on a conversation.
I have had many in the last two weeks and when I have asked this litany of questions, I find myself at a loss as to why almost no one knew what they owned. But they thirsted for individual stocks, because they, like me, think things are better post pandemic. No, that's not a facetious comment. Many, many stocks did better with a stay-at-home economy. A huge number.
So what do I do? I revert to what others do when you are stumped about how to stay in touch with stocks, but want to do less homework. That means buying stocks that are accessible, not stocks like Unity (U) or Snowflake (SNOW) or Twilio (TWLO) or Okta (OKTA) .
I revert to normal businesses people know and I suggest they Google some articles, peruse the conference call, but, above all, like the company's products so you can buy more if it goes down.
Here's some that I have been telling people I like:
First is Ford (F) . I think the Ford lineup is amazing. The electric F-150 series will be incredible. I am eager to get a Maverick for my family, because it is a smaller pickup that will get the job done for the myriad little things I need to do with this farm I bought from that crazy bitcoin foray. I like the competitive edge of the CEO, who says he is going to bury Elon Musk when the Lightning comes out. I even think the Bronco is cool as all get out. Most important, though? I think the chip shortage is ending. My semiconductor friends are telling me the foundries are producing more feature-rich chips and that means Ford can pump out the trucks small business people love and need. Plus, the used car prices at last have plateaued, according to their most important pricing index. Halcyon times.
Second, Costco (COST) : The samples are coming back. Tell me you don't love the samples. You need things in bulk. You want low prices. You want to get all of the things that people don't think of with Costco, like insurance, hearing-aids -- hey, they are a fortune -- jewelry, things around the house. You go and you will buy far more than you first came for. My kind of store.
The kids love this American Eagle Outfitters (AEO) , which we just bought for my charitable trust, which you can follow along by joining the Action Alerts PLUS club. Jay Schottenstein, the CEO, came on "Mad Money" recently and it's clear that his Aerie model has real staying power: 26 consecutive quarters of double digit growth. No flash in the pan, that one. Number one brand in jeans for the 15 to 25 year old group. The best in the mall. How did I know this? I see the credit card bills.
I got up this morning to do my physical therapy. I have been doing it ever since I hurt my back in February. I have this really cool pair of sneakers that fit me perfectly and I love them, but I am fortunate enough to have a vacation house and I am always taking those shoes with me.
So I went on Amazon (AMZN) this morning and lo and behold I saw them for half price. I bought two pairs. Then I went over everything I have bought in the last year and got a bunch of those things. Then I bought a pair of binoculars, because mine were stolen. I paid half price.
Yep, Amazon's universal. I was talking to Alexa, while I was ordering, getting some new music on, asking questions. I saw that despite all of the Sturm und Drang of Amazon being late with things, all the delivery dates were within range. I didn't click on any ads, and I didn't need the speed of Web Services, but the whole thing reminded me about how special the darned company is. I don't care if it's ahead or behind plan for the moment. I would just buy some more when it goes down.
Finally, Apple (AAPL) . I think people who don't own Apple should look what they are holding at this very moment. Yes, right now. Or look at what's in your lap or on the table besides your fork. And then think about the bill you paid last night without knowing it. Think about what you bought in the App store yesterday. Think about what would happen if it would break or get stolen or, left in the Uber (UBER) , or heaven forbid, be dropped into the pool or in the, yes, toilet.
There, that's what you buy in halcyon times. Stocks of companies you know that if they go lower, because things get less halcyon, you are fine with it and buy more. If things go up, believe me, you will participate.
So accept the moment. Don't try for the hard money. Go for the easy kind. That's the best kind.
https://realmoney.thestreet.com/jim-cramer/jim-cramer--15692051
Picture: 牡丹(peony)花開. 恨不得院子裡有一塊地是牡丹園.
同時也有1714部Youtube影片,追蹤數超過128萬的網紅ウマヅラビデオ,也在其Youtube影片中提到,遂に満を持してウマヅラビデオ単独書籍『シン・人類史』が発売決定!Amazonにて絶賛予約受付中!!⬇️⬇️ 超古代から未来までを網羅し、全てがひとつに繋がる都市伝説本!真実は裏から見なければ見えてこない。ぜひ本書を手に取り闇に葬られた真の歴史を探求してください!↓↓↓ https://amzn.to...
music stock 在 IELTS with Datio Facebook 的最讚貼文
:: Một số kênh trên Netflix bạn nên xem để tăng khả năng tiếng Anh (part 1) ::
Trong bài này mình sẽ giới thiệu đến mọi người 1 số kênh mình hay xem để luyện nghe cũng như học thêm từ vựng trên Netflix nhá!!!
1. Explained
Đây là show phim tài liệu (docuseries) của Vox giải thích các khái niệm xoay quanh đời sống thường nhật của chúng ta một cách rất dễ hiểu, ví dụ như giải thích về “music / gender equality / can we live forever? / astrology (chiêm tinh học & cung hoàng đạo) / stock market (thị trường chứng khoáng) / beauty / …). Xem kênh này bạn vừa học được từ vựng academic mà vừa học thêm được kiến thức cực xịn luôn. Ngôn ngữ của show này rất phù hợp cho Writing Task 2 và Speaking Part 3.
2. The Real Housewives of Beverly Hills
Đây là show truyền hình thực tế (reality shows) nên ngôn ngữ dùng sẽ rất chân thực và ngẫu hứng. Show này chắc sẽ phù hợp cho các bạn nữ vì show xoay quanh cuộc sống của các bà nội trợ của các tài phiệt siêu giàu tại Los Angeles. Show này rất đỗi drama nên nếu bạn là người thích hít cho bổ phổi thì nên xem nha :))). Ngôn ngữ trong show này khá là casual nên sẽ phù hợp cho Speaking part 1 và 2 của IELTS. Đặc biệt khi các “she” ngồi than thở và nói về cảm nhận bản thân thì đây là một sample rất tốt cho speaking part 2 luôn.
3. Instant Hotel
Đây là show truyền hình thực tế (reality shows) nên ngôn ngữ dùng sẽ rất chân thực và ngẫu hứng. Show này được sản xuất bởi Úc nên các bạn sẽ được làm quen với giọng Úc (1 giọng khá là khó hiểu trong IELTS listening). Show này là một kì thi cho các home owners - họ sẽ ở thử nhà của nhau và sau đó đánh giá trải nghiệm lẫn nhau để chọn ra the winner. Mình rất thích show này vì đây toàn là các holiday homes để nghỉ mát nên quang cảnh xung quanh cực đẹp, và mình còn học được rất nhiều từ vựng để miêu tả 1 căn nhà / nội thất (phù hợp với speaking part 2). Nếu bạn thích kiến trúc và du lịch thì show này rất phù hợp với bạn nha.
Hôm nay mình giới thiệu trước 3 shows cho mọi người thôi. Chúc các bạn sẽ có thêm động lực coi shows và nâng trình nghe nói nhé.
Have a great evening guys
---------------------
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🏫 Cơ sở: 51/4/9 Thành Thái, P14, Q10 (kế bên trường Cao Đẳng nghề số 7)
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music stock 在 BorntoDev Facebook 的最佳貼文
😍 สวัสดีจ้าเพื่อนๆ วันนี้แอดจะมารวบรวม Top 10 Machine Learning Projects ให้เพื่อนๆ ได้ศึกษาและลองทำตามดูนะ
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🔧 มีทั้งวิธีการ และ Source Code อย่างละเอียดเลยนะ ลองทำตามได้แน่เลย หรือใครอยากจะเอาไปเป็นไอเดียในการทำโปรเจคก็ได้เลย
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ถ้าพร้อมแล้ว ไปอ่านกันและลองทำกันเลยจ้าาา
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⭐ 1) Cartoonify Image with Machine Learning - เปลี่ยนภาพธรรมดา ให้กลายเป็นการ์ตูน!!
ซึ่งไอเดียของโปรเจคนี้จะทำการเปลี่ยนรูปภาพให้กลายเป็นการ์ตูนด้วย Python และ library machine learning
💥 ใครสนใจโปรเจคนี้กดลิงค์เข้าไปอ่านกันเลย >> https://data-flair.training/blogs/cartoonify-image-opencv-python/
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⭐ 2) Create your own emoji with Python - สร้าง Emoji หน้าตัวเองด้วย Python
ไอเดียของโปรเจคนี้จะใช้ Machine Learning เพื่อแยกการแสดงออกทางสีหน้าของมนุษย์และจับคู่กับอิโมจิ
💥 ใครสนใจโปรเจคนี้ไออ่านกันเลยจ้า >> https://data-flair.training/blogs/create-emoji-with-deep-learning/
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⭐ 3) Loan Prediction using Machine Learning - ทำนายจำนวนเงินกู้!!
เป็นการสร้างแบบจำลองและประมาณเงินกู้สำหรับการกู้บ้าน หรืออสังหาริมทรัพย์ต่างๆ ได้อย่างแม่นยำ! โดยจะใช้ข้อมูลจากภาระต่างๆ วุฒิการศึกษา หน้าที่การงานของผู้ใช้งาน มาสร้างเป็นแบบจำลอง แอดว่าเจ๋งเลยนะเนี่ย
💥 ใครที่สนใจโปรเจคนี้ไปอ่านกันเลย >> https://www.kaggle.com/altruistdelhite04/loan-prediction-problem-dataset
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⭐ 4) MNIST Digit Classification Machine Learning Project - ใช้หุ่นยนต์จำตัวเลขที่เราเขียน
โดยโปรเจคนี้จะใช้ Python ในการจำแนกหลัก MNIST ซึ่งจะช่วยให้หุ่นยนต์สามารถจำตัวเลขที่เราเขียนด้วยลายมือได้ ซึ่งโปรเจคนี้จะต้องใช้ชุดข้อมูล MNIST เพื่อผึกโมเดลโดยใช้ Convolutional Neural Networks
💥 ใครที่สนใจโปรเจคนี้กดลิงค์เลยจ้า >> https://data-flair.training/blogs/python-deep-learning-project-handwritten-digit-recognition/
🗂️ ชุดข้อมูล MNIST ลิงค์นี้เลยจ้า >> https://drive.google.com/file/d/1hJiOlxctFH3uL2yTqXU_1f6c0zLr8V_K/view
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⭐ 5) Stock Price Prediction using Machine Learning - ทำนายราคาหุ้นด้วย ML
ซึ่งโปรเจคนี้จะมีตัวอย่างชุดข้อมูลราคาหุ้นต่างๆ เพื่อฝึกให้โมเดลเรียนรู้จากชุดข้อมูลและสามารถทำนายราคาหุ้นในอนาคตได้
💥 ใครสนใจมาทำตามกันเลย >> https://data-flair.training/blogs/stock-price-prediction-machine-learning-project-in-python/
🗂️ มี data set ให้ด้วยนะ >> https://www.kaggle.com/c/two-sigma-financial-news/data
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⭐ 6) Fake News Detection Project - ข่าวลือ! จะหมดไปเมื่อมีโปรเจคนี้
โปรเจคนี้จะใช้ Data set เพื่อฝึกให้เครื่องเรียนรู้ที่จะแยกแยะข่าวปลอมและข่าวจริง
💥 ใครสนใจกดตามลิงค์นี้เลยจ้า >> https://data-flair.training/blogs/advanced-python-project-detecting-fake-news/
🗂️ แจก Data set ไว้ไปฝึกโมเดล >> https://drive.google.com/file/d/1er9NJTLUA3qnRuyhfzuN0XUsoIC4a-_q/view
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⭐ 7) Music Genre Classification Machine Learning Project - จำแนกประเภทเพลงด้วย ML
โปรเจคนี้จะใช้ Python และ ML เพื่อจำแนกประเภทเพลงที่แตกต่างกันโดยอัตโนมัติ ใครอยากรู้ว่าเพลงที่เราฟังอยู่เป็นเพลงแบบไหนก็สามารถรู้ได้เลย
💥 ใครอยากทำโปรเจคนี้ไปที่ลิงค์นี้เลยจ้า >> https://data-flair.training/blogs/python-project-music-genre-classification/
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⭐8) Bitcoin Price Predictor Project - มาทำนายราคาบิทคอยน์กันเถอะ!
วันนี้บิทคอยน์จะราคาขึ้นหรือลงก็ไม่ต้องมานั่งกังวลอีกต่อไป โปรเจคนี้จะช่วยให้เราสามารถทำนายราคาของบิทคอยน์ได้อย่างอัตโนมัติ เจ๋งสุดๆ ไปเลย
💥 ใครสนใจกดไปทำตามลิงค์นี้เลยคร้าบ >> https://www.kaggle.com/team-ai/bitcoin-price-prediction/version/1/code
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⭐9) Speech Emotion Recognition Machine Learning Project - แยกอารมณ์ของคนพูดด้วยเสียง!
โปรเจคนี้จะใช้ Data set เพื่อเรียนรู้และจดจำเสียงของคนพูด จากนั้นก็จะทำการแยกได้ว่าอารมณ์ของคนพูดในตอนนั้นเป็นยังไง โกรธ เหงา เศร้า ซึม รู้ได้หมดเลย!
💥 ใครสนใจไปทำตามกันโลดด >> https://data-flair.training/blogs/python-mini-project-speech-emotion-recognition/
🗂️ แจก Data set ไว้ใช้ฝึกโมเดล >> https://drive.google.com/file/d/1wWsrN2Ep7x6lWqOXfr4rpKGYrJhWc8z7/view
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⭐ 10) Movie Recommendation System using Machine Learning - ระบบแนะนำหนังด้วย ML
ใครอยากรู้แนวทางของ Netflix ที่ใช้อัลกอริทึมในการแนะนำหนังหรือซีรีส์ให้กับเรา สามารถดูไอเดียได้จากโปรเจคนี้ได้เลยจ้า ซึ่งโปรเจคนี้จะสามารถแนะนำหนัง หรือซีรีส์ได้ตรงตามกลุ่มเป้าหมาย
💥 ใครอยากลองทำ Streaming หนัง/เพลง/ซีรีส์ ก็ดูไอเดียจากโปรเจคนี้ได้เลยจ้า >> https://data-flair.training/blogs/data-science-r-movie-recommendation/
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🗂️ มี Data set แจกด้วยนะ >> https://drive.google.com/file/d/1Dn1BZD3YxgBQJSIjbfNnmCFlDW2jdQGD/view
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🙌 เป็นยังไงกันบ้างกับ 10 โปรเจคที่แอดมานำเสนอให้กับเพื่อนๆ ใครลองไปทำดูแล้วได้ผลลัพธ์ยังไงมาแชร์ให้เพื่อนๆ และแอดฟังบ้างนะคร้าบ
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หวังว่าจะเป็นประโยชน์กับเพื่อนๆ นะครับ 😁
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borntoDev - 🦖 สร้างการเรียนรู้ที่ดีสำหรับสายไอทีในทุกวัน
music stock 在 ウマヅラビデオ Youtube 的最佳解答
遂に満を持してウマヅラビデオ単独書籍『シン・人類史』が発売決定!Amazonにて絶賛予約受付中!!⬇️⬇️
超古代から未来までを網羅し、全てがひとつに繋がる都市伝説本!真実は裏から見なければ見えてこない。ぜひ本書を手に取り闇に葬られた真の歴史を探求してください!↓↓↓
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☆ベーコン
https://twitter.com/amuse_bacon
☆否メンディー
https://twitter.com/inainainamen
_____________________________________________________________________
※我々が話すことはあくまで都市伝説であり、実際に起きてることとは限りません。真実は皆さんで追ってください。また誹謗中傷を目的としてこの動画は制作されておりません。また使用している素材はすべて引用であり著作権を侵害する目的でこの動画を制作しておりません。
#ウマヅラビデオ #都市伝説 #ウマズラ
素材の引用URL
Adobe Stock
https://stock.adobe.com/jp/
Story Block Video
https://www.videoblocks.com/videos
♩♫ Royalty Free Music - "The Last Battle" - Epic & Dramatic Action Trailer Score | No Copyright ♫♩
https://youtu.be/qvR21sKXWmA
Brand X Music - Entrada [Epic Music - Epic Vocal Driving Mysterious]
https://youtu.be/daTGZ2Y65is
[No Copyright Music] Dark Man - (Royalty Free Epic Music)
https://youtu.be/-lCXTiRB_k8
White Hats - Wayne Joneshttps://youtu.be/VcZmSNhxC4o?list=PLkcoF0DPnOMNYQ9cqIosdTMTG6ubyijvm
Music Atelier Amacha
http://amachamusic.chagasi.com/music_kurakunagaitunnel.html
DOVA-SYNDROME
https://dova-s.jp
効果音ラボ
https://soundeffect-lab.info/sound/machine/
music stock 在 ダイスTV Youtube 的精選貼文
フォルクスワーゲン ゴルフヴァリアントの300台限定車「オールスター」を見せてもらいました!
トイズカーさん
https://toyscar.jp/
今回の車「フォルクスワーゲン ゴルフヴァリアント オールスター」
https://toyscar.jp/stock/1704-1/
チャンネル登録お願いします
ダイスTV
https://goo.gl/Pwwv5V
ダイスチャンネル(ゲームチャンネル)
https://goo.gl/sa9ktE
だんごの日記
https://www.youtube.com/channel/UC0am1cbglZdkXkJD9FxH8tQ
ツイッター
https://goo.gl/2JLhpF
お買い物はアマゾンで
http://goo.gl/2Qgg89
【再生リスト】
実写動画
https://goo.gl/HyPWgF
https://goo.gl/Ogebnb
※上記Amazonリンクはアソシエイトリンクを使用しています。
#フォルクスワーゲン #オールスター #限定車
楽曲提供:Production Music by http://www.epidemicsound.com
Music-Note.jp
music stock 在 小戴 Davina Youtube 的最佳解答
#podcast #溝通 #人際關係
在我們使用言語作為溝通的工具時,可以分成三個學習的階段。
第一階段是沒有多想什麼,自己想說什麼就直接說出來。
第二階段是知道語言容易造成別人的誤會,因此會注意斟酌自己的用詞。
第三階段是明白語言這項工具的極限在那裡,不會對它有不合理的期待。
了解這些關於溝通的基礎知識,有助於看清楚人與人之間的互動關係,並選擇最適當的策略來處理。
● 引發誤會的小故事 00:16
● 真的是誤會?有那些沒想到的事 07:14
● 減少誤會,我們可以做些什麼 17:05
✒️前往閱讀本篇文字稿 https://moke.tw/talk/podcast-s2ep33/
💰支持小戴的推廣行動 https://moke.tw/donate/
Stock music 由 AveCoo, Audiostation, HomulusTunes / MotionElements.com 提供
https://button.like.co/yenru606