🌻風險管理
跌了幾十趴的個股還要繼續抱下去嗎? 去年飆漲的SPAC, 今年還漲的回來嗎?(可以跟下篇一起看).
開始玩成長股後, 我學到最難的一堂課是風險控制. 每個人對風險控制的觀念不一樣, 這跟每個人的心理素質也有關係.
風險管理, 也就是"留得青山在, 不怕沒柴燒".
風險管理:
https://zh.wikipedia.org/wiki/%E9%A3%8E%E9%99%A9%E7%AE%A1%E7%90%86
🌻There Are Too Many Defenseless(無防禦性的) Stocks
(可以的話, 我希望您可以好好讀一下這篇文章. 我希望能夠幫您守住些財富, 減少些損失, 甚至創造些獲利. "Too many", 也就代表了股票沒有稀有性)
The underwriters just created too many stocks. There's too many new companies, too many companies that help you with analytics(分析), too many that offer video, too many data collectors and too many real-time analysis, and too many cybersecurity companies. There's been too many new electric vehicle derivatives, too many cannabis (大麻) plays and way too many new fintechs(金融科技).
The effect? We are now facing a bewildering number of companies that simply do the same things and can't be differentiated (無差異性的) and, frankly, are too hard to understand unless you are deeply involved in the transfer of data from on your premises to the cloud(雲端).
Why does this matter?
Because these stocks are defenseless. They are defenseless against inflation (通膨) because so many of them sell at a multiple to sales and any company that trades as a multiple to sales (指的是以P/S為估值方式, 非傳統的P/E. 軟體公司主要是用P/S) will see its value erode more quickly than any other in this stock market because the company has to graduate from a multiple to sales to a multiple of earnings, or just keep losing money. So many new investors have not experienced real inflation where these kinds of stocks can't be given away.
They are defenseless against an economic boom. I have been reading through countless software as a whatever with a go to market strategy and a huge TAM (total addressable market, 指的是市場大小) to land and expand(指的是雲端公司的商業模式), and my eyes glaze over. Who needs a company with all of those buzzwords that's growing at 27% and losing money when I have plenty of high quality industrials that are growing at 27% and spewing cash to the point the biggest issue is how much should be put to growth versus rewarding shareholders.
They are defenseless against older companies with a balanced policy toward dividends and buybacks, so that supply is mopped up while demand is bolstered by a yield. The land and expanders don't have anything backing them up which makes them vulnerable to sudden shocks down as we have seen.
They are defenseless against insider selling. If capital gains rates are going up, these are the companies with the most vulnerable stocks because so many of the people in these new companies have stocks that are still up substantially from when they got stock so a company with a stock down 30%-40% is vulnerable from scads of insider selling, including secondaries I am now expecting with increasing frequency.
They are defenseless against SPACs. While there are many good SPACs there are too many SPACs with too much stock sloshing around. I keep thinking about that MP Materials (MP) secondary offering in late March, where entities controlled by CEO James Litinsky sold 4.6 million shares of his company in a deal priced at $35. Now it is a small percentage of his holdings and many others involved with the company sold small amounts, too. That's not the point. It's more of a statement: this stock traded at $50. You might have been inclined to buy on the pullback but you would have been massacred as the stock is now at $27. If you have a so-called successful SPAC its success might be measured by how much money you took out of it before its stock fell by 50%. There are hundreds of things and when you consider all of the warrants out there, you know this market is going to be overwhelmed with this stuff.
You aren't going to see these kinds of secondaries at Deere (DE) or Caterpillar (CAT) , that's for certain.
Now there are people out there willing to buy the incredibly almost stupidly risky stocks, people like Cathie Wood, who demonstrated her unflappable conviction to her method of buying stocks that worked when there's scarcity value but there's anything but that now.
Maybe she can take down tens of billions of dollars worth and save the day. I wouldn't count on it. I am sorry to question her stock picking, lord knows she's been amazing. But unless others copy her, we know the stocks she is buying resemble what's not working at all. Maybe someday, but not now.
I try to figure out what the end game for these stocks might be if the economy keeps heating up and inflation accelerates. There's simply not enough money from young people or ETFs based on high growth or Cathie Wood to keep these stocks higher, and there's too much opportunity for the insiders to do what MP did, something that crunched the stock even as it reported a quarter ahead of expectations, which meant something at one point but means absolutely nothing now. Nothing at all.
文章來源: https://realmoney.thestreet.com/jim-cramer/jim-cramer-there-are-too-many-defenseless-stocks-15649142
Picture來源:
https://society6.com/product/boxing-cat_print
同時也有1部Youtube影片,追蹤數超過115萬的網紅Rayner Teo,也在其Youtube影片中提到,Rayner: 00:00 Today, I have a question from Kara who asks, "Hey, Rayner, if I want to use multiple timeframes in my trading, for example, the price is...
what is data analysis 在 COMPUTEX TAIPEI Facebook 的最佳解答
COMPUTEX invited marketing partners last week to provide tips and guide the virtual exhibitors standing out in the digital world. Here's a recap from 電商人妻 , we hope you enjoy reading it as much as we do.
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✦ Media Marketing Trends for Online Trade Shows
👉All speakers (me included) stressed on the exhibition aim. Clearly defined goals are necessary to draft and implement a marketing strategy attuned to your needs. TechOrange 科技報橘
👉Most tech companies send drafted press articles to media before the show but not all of these are published. Companies should thus take note of the article length, attempt to link content to current tech trends, and so forth. Referencing recently released articles from peers or similar shows can also help with manuscript writing.
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✦ Enhance Precision Marketing and Customer Interaction
👉COMPUTEX has teamed up with Appier this year to leverage its predictive AI capabilities to empower data-driven decision making i.e. using data analysis to find the most effective marketing solution, pushing information in a more targeted manner. Appier
👉Appier is able to collect countless data (including user info and on-site behavior as well as interests) and integrate these into the user profile for analysis to provide hyper-personalized recommendations through diverse channels like app and website.
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✦ Online Video Marketing Tips
👉COMPUTEX collaborated with Whitelight Motion for its visual content this year; Founder and Animation Director Rex Hon came to share how to create brand influence from new angles through visual content. 白輻射影像 Whitelight Motion
👉Brand positioning is a common marketing strategy that lies in creating and building influence in order to own a space within an industry.
COMPUTEX is Everywhere – the concept for the trade show this year permeates through the entire creative process. The final product allows for technology to be felt rather than deliberately stating its presence given its image is already rooted in the heart of the audience.
👉Brands connect with audiences through a brand story and content. #COMPUTEXVirtual has been positioned this year as a life experience platform with the brand video used to convey the image of technology being intertwined with our daily lives.
👉“Some feel the rain, others just get wet” – I am quite fond of this phrase that Rex shared. The feelings evoked are more important than the product facts; this is the core belief behind visual content marketing.
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✦ B2B Social Media Marketing
👉Though many firms have created social media accounts, few are the ones who actively post content. Social media platforms differ so firms should choose the ones that are aligned to their needs e.g. YouTube is the only platform that reaches audience of all ages.
👉Keep a multi-channel marketing mindset when publishing similar topics or content and tailor these to the audience in each platform. Think of it as a one-stop marketing plan that splits the single content into a multi-platform publishing model.
👉What is the most important aspect of B2B marketing? We must return to the needs of the end user when thinking about the need of our corporate customers.
👉B2B marketing is an area that I have been working on myself so I appreciate the opportunity to learn and connect with experts in this field. This #COMPUTEXTalk was immensely rewarding.
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Get ready for an engaging conversation online beyond the distance.
‼Visitor Registration‼
https://virtual.computextaipei.com.tw/
what is data analysis 在 經濟部中小企業處 Facebook 的最佳解答
【財經補給讚】FINDIT VIEW:六都創業生態系之高雄篇
新創朋友看過來👏
關於高雄創業生態系底加啦~~🤗
文章介紹高雄市創業協助機構如:
創業基地、加速器、育成中心、共同工作空間,與高雄市政府所提供的創業計畫資源;
同時,統計高雄市新創企業家數與代表性獲投企業。🧐
有興趣的朋友別錯過嘿 😃
【FINDIT VIEW:The Kaohsiung City Startup Econsystem Report】
This report will be split into two sections. First part discussing startup supporters like startup hubs, accelerators, incubators, co-working spaces, and government resources. The second part will be focusing on startup activity and introducing some examples that got early stage funding, followed up with some analysis on the startup growth in recent years, a short summary, and what we think lies ahead for the Kaohsiung City startup ecosystem. The purpose of this report is to share the data and findings on the Kaohsiung City startup ecosystem, and furthermore inspire readers to gain interest in this beautiful city.
what is data analysis 在 Rayner Teo Youtube 的最讚貼文
Rayner: 00:00 Today, I have a question from Kara who asks, "Hey, Rayner, if I want to use multiple timeframes in my trading, for example, the price is coming to a daily support, how do I use multiple timeframes to better my entry? Should I be looking at a one-minute timeframe, a five minutes timeframe, or the one-hour timeframe?" Here's my take on it when using multiple timeframes. You can think of it like let's say, for example, you're old. You're about 70 years old and you're trying to read the words on the monitor on your screen.
Rayner: 00:33 Okay, and that's pretty small, so what do you do? You get a magnifying glass and you look at the monitor. The magnifying expands the words and it's easier to read because now the font size is larger, but what if you magnify too much? Let's say you magnified to 10 times what it was and the font size expands, huge, so what happens? If you look at that now, the words will appear very large like one huge thing in front of you. You can start to see the individual grain of the pixel, and if you're looking at it, does it make sense? No.
Rayner: 01:11 You pretty much forgot what you're trying to accomplish in the first place because the thing is way too zoomed in, and this is the same as trading. If you're looking at the daily timeframe, for example, the price coming to an area of support and you zoom in down to the one-minute timeframe to better time your entry, it's way too zoomed in just like the magnifying glass example. You can see the individual bar and stuff like that, but it has no relevance to the higher timeframe because you're too zoomed in and whatever data you're looking at is pretty much noise relative to the daily timeframe. So my suggestion is if you want to find a sweet spot where you zoom in enough to see additional information at the same time using the information that is related to the higher timeframe, I suggest using a factor of four to six.
Rayner: 02:01 What I mean by this is that let's say, for example, the daily timeframe ... Price comes into support and you want to better time your entry, you can use an example of a factor of six. One day, you have 24 hours, so a factor of six means that you go down to the four timeframes to better time your entry.
Rayner: 02:27 If you want to use a factor of four, let's say you identify resistance on the four timeframes, so a factor of four would be then you go down to the one-hour timeframe, four hours divided by four which is a factor of four.
Rayner: 02:51 So this is the sweet spot to use multiple timeframes. If you use a factor of 20 or 30, I would say the information is too detailed and it has no relevance to the higher timeframe. With that said, if you want to learn proven trading strategies to get rich slow, head down to my website tradingwithrayner.com and I'll talk to you soon.
If you want more actionable trading tips and strategies, go to https://www.tradingwithrayner.com
Thanks for watching!
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