저자: ChikiStore · 한국인
요약 보기
1,400개 ETF 데이터를 정리해 장기 투자용 ETF를 선별하는 과정을 설명. 3·5년 수익률, 변동성, 수수료 기준으로 필터링하며 레버리지 상품은 배제. 반도체 ETF는 상대적으로 낮은 변동성과 장기 성과를 근거로 안정적 선택지로 제시. 소셜미디어 텍스트 분석 기반 투자(버즈)는 맥락 판단 한계로 비추천.
다듬은 글
Hello, this is Chiki Store. Last week, after about a week of hard work, I finished organizing all the data for the 1,400 ETFs on kfd.com, so I’m going to try keeping them. I’ve been continuously uploading videos about this camp, and this is one of them. Today, I plan to share my analysis based on questions asked by my subscribers.
The very first question was from "Experience Lord": "I want to invest 10 million won every month in C for 3 to 5 years; what is the best way to do this?" So, first of all, looking at this, since it seems you plan to invest for a long time, I intend to focus on those that have shown good performance over the past 3 to 5 years.
Next, since 10 million won is being invested each month, that is n't a small amount of money, so I will try to find one that is as stable as possible. And ideally, it would be good to look for one with low fees. Based on these three criteria, I will try to select a decent one. The first task I performed was, of course, right now...
Since there are too many responses (100) from 2004, I will proceed with the filtering process. Now, Step 1 involves selecting two posts that have shown decent returns over the past few years. My selection criteria are based on how much the 3-year return has sold on the x-axis, and then I will screen based on how much the 5-year return has sold.
In this filtering process, I have minimized leverage as much as possible because, as you can see here, the assumptions regarding FANG OS X cause the data to spike too much, so I have excluded those. So, everything here is currently in a state of B leverage. Next, I will also sort through the unnecessary data in this area.
So, the result is that I have kept Puma, which previously had a 3-year return of over 150% and a 5-year return of over 300%. It might look light, right? Stocks like A Raw PD War Kate 2 are jumping in downloads. Now, to make it easier to compare the remaining ETFs with a relianced eye, here I I have added a variable.
The size of the circle has changed slightly; this circle represents volatility. The greater the volatility, the larger the circle. Additionally, the larger the circle, the higher the stock price fluctuation rate. If you look at the two options here, 2 represents years, and you can see that the inner ones, which have more volatility, have a smaller circle size this time.
On the other hand, regarding "law," "do," " Peter Weir eco-friendly ETF," and "Movie Friend," you can see that while their stock prices have risen significantly compared to these, they also exhibit high volatility. Since it is difficult to compare this objectively using only milestones, I have created a data table.
I will be looking at " ket food" to select the best one, but there are too many. So, for now, I will exclude those with low returns and small asset sizes and analyze only a few. I have listed these eight products, and if we take a look at which one is the best, the most notable one is "You Are the Next-Generation Internet," operated by Fader.
This one has been good with impressive returns over the past 1, 3, and 5 years. Next, regarding "Lee" and "VB," the volatility is also small. You could say it is somewhat stable because it is small. The operational importance is appropriate, but the downside is that the fees are high. Aside from that, honestly, it is on the expensive level.
However, I was able to find one commonality here. Because the ETFs from ARK W to PW here perform quite well after taking a break; their performance is excellent, but you could say they have relatively high volatility. On the other hand, regarding the semiconductor ETFs over here, you can clearly see that the stock prices have risen significantly following this study, and they are not bad in the long term either.
Also, compared to these, you can see that they have lower volatility. I feel a bit more so myself. So, from here on, I think it comes down to personal preference. The ones over here can be described as high-risk, high-return ETFs (HF), whereas the semiconductor ETFs here share the commonality of being long-term, performing well now, and having less volatility.
Therefore, as shown in this table, if you are a high school senior seeking risk, I think it would be good to choose the ETFs here. Then, if you prefer stability rather than extremely high returns... So, our conclusion yesterday was that investing in semiconductors, which have relatively low volatility, might be a good idea.
Now, regarding the question asked by Choi Yeon-so: "I want to release 10 million won every month for 5 years; what would be the best approach?" According to this analysis, if you are experiencing pain in certain areas and want to add risk, ARK would be a good option. However, if you prefer stability with a moderate amount of smirk, I think the semiconductor sector would be a good choice.
Also, as I explained earlier, if you want to invest in the US without any worries, I recommend investing in QQ. The reason I say this is because I covered this in a previous video (this video is missing). In that video, I explained the results of my analysis of 50 years of US stocks. It was the sector with the highest win rate among the various options available.
If you invest here, you can entrust yourself to this upward trend without any particular concerns, so I believe you can invest with peace of mind. For Chapter 4, please refer to this video for more detailed information. Now, the second question. This is a question asked by Hang. This is a comment asking for a comparison of these four: Taein, SOX, Friends, Yu, and SL.
I will analyze this as well. First, regarding the cell count within the tags, as mentioned in the previous equipment section, Jatae is on this side, and SOS X is on this side. So, among the 4th time EPL, both can be said to be quite pretty and rank within the top 10 or 5. You can consider Tag as having relatively good returns recently, while SOH XX is a friend that has performed well in the long term.
So, please refer to Table 6 in Chapter 2 for comparison. Next, when these four cables appear in Chapter 1, I think we can represent it like this. Going this way indicates high 1-year returns. Next, Miho is trending upwards to C, so Taemin, is the period high? So, regarding both 1-year and 3-year returns, we can say to delete FN.
You can view the order as 100, SOH XL, then Ten, and then SOH XX. Shall we try generating 1? However... What you need to be careful about is that since you are being told to discard a year of leverage, you have to do it now and will be doing the elementary part. After that, you need to compare the B leveraged stocks that you are discarding to get decent results.
If we compare them first during the NFL Duo essay, the major Penn stock price is $31, while SXL is $43; wearing a mask, there doesn't seem to be a big difference. The difference between these two becomes apparent after execution, but for a one-year investor, FN Jiwoo is much better. However, for new investors this year, SOX is much better.
This is where the difference lies. Next, the 3-year return is good, and the 5-year return is also excellent. It shows tremendous returns, so how should I interpret this? Understanding the recent and long-term returns is difficult. As for the 3-year return in the middle, I find Star to be a bit ambiguous.
However, FN Jiwoo has slightly less volatility. So, for those who added something a little more stable, FN might give you a cramp, and I think SSL is good for the long term. Next, if we compare Life's sex killing, first of all, there is a significant difference in stock prices, so for those who don't have money...
I think it will be the third option. If you don't have much money, buying Sex might be a good idea for those with plenty. Also, Taeni isn't performing well in Yeongdo right now. That is why Yonsei Semiconductor is currently showing better results. In terms of fees, SXX appears to be cheaper. Furthermore, it tends to have lower volatility and a slightly higher dividend yield.
So, if I were to compare these two, I would actually give my vote to the 6-type. Since it has been winning even in the long term, I think it might be a better choice. To summarize, my personal opinion is that between these two, the more stable one might be better. Also, since there is a difference in perception between FLNG and Sex, I think it would be best to choose based on your personal preference.
Now, here is the third question. It was asked by Ms. Sim's mother. She asked if we should expect further gains given that the range of ZETS has risen significantly, or if it would be good to invest elsewhere. She asked her acquaintance to consider Black or which direction they see it. Regarding the question of whether we can expect further gains, the ones I hold have been day trading in the past, so I don't know what will happen in the future.
Predictions are somewhat permissible, so I think I can show you where the cycle currently stands. I will show you this at a glance. Next, regarding the other stocks, the shitty TV sector—I’ve created a list of tags that have been rising recently and the atmosphere of the market—and I will review it.
Now, I am creating this to identify which ETFs have been performing well recently. To this side, there are the two ETFs with the best returns this year, and moving further to this side, there are the two ETFs with the best 1-year returns. It has been about 4 months of this year, and since we are looking at the year, we can consider this recent.
Since there is too much data here, I will delete some of it. I have filtered it out a bit more. When filtering and using it, the qualification is this year's birthday, which is about 20%, and here, it is about 20% for PACK. Here, there is Z, Z is located here, and Up A is located around this position.
So, if we compare it to the previous ones, Z and the vocabulary would be in positions like this. Except for Z, which you asked about, they are in positions like this. You can take a look at that later. So, among these, you can consider them to be located most prominently here and here. First, their positioning can be seen as belonging to the sector that has been sending a lot of money recently.
Next, what stands out is Jeff, who invests in blockchain and is definitely showing a very good performance this time. Then, C&S Niji, which has been linked to claims from Taiwan, is also showing a good trend recently. Next, regarding BDR Wine, it seems to be related to freight, but I don't quite understand it, so I'll skip that for now.
Also, I added "Kiji." Size indicates 3-year returns, so the larger the size, the better the 3-year return. There are various factors, but here, it's about what is visible in the sky. It seems to be related to blocking. You know, this year's figures are low, and you've given us the figures for the past year.
Considering the importance over the past 3 years, I think this is the most significant one here. So, among these, I would say this one is showing the best atmosphere. You might be wondering which one you should invest in among these, but regarding this, I came to this camp two months ago, and I don't know much about it...
It is a bit difficult for me to explain, so I have created a list. There are about 46 items, and since I have compiled them into a list, I will upload the Excel file to my blog. You can view it directly and apply filters to find what you are looking for. I will share this file with you, so I recommend you take a look and make your selection.
Regarding the question from user "Jalhaeseo 15" asking about the two stocks—"Jet" and "Gwang-eohoe"—which I believe have risen significantly, asking "Should I invest in them?" and "What is your perspective on Tibet?", my answer is as follows: First, regarding the stocks I analyzed earlier—such as these ETFs, eco-friendly ones, and semiconductors— since they are at a decent level in the long term, I believe they will continue to perform well in the future.
That is the first example, this site. Secondly, there were stocks with a good vibe recently. These are the contents I showed you right before; I will leave the Excel file here, so I think it would be best for you to look at it directly and make your own judgment. I have briefly skimmed through the contents, and the thematic sectors have risen significantly recently, as has this energy sector.
Next, regarding what you mentioned—Jet, the travel sector (which includes you guys), and Initech—since they have risen a lot recently. I think it would be a good idea to take a look at whether there are any decent options on the Monroe side as well. Lastly, I have something to say regarding "Beggar HF." Mr.
Burleigh asked about the blogger, or Kiwi. Regarding Block, two looked pretty good earlier, and I think the answer for Key was provided in the previous video. There is one left regarding Buzz. The concept is that if you analyze social media posts and invest based on how often a stock is mentioned or how people speak favorably about it, the profits will be nice.
However, I actually do not recommend this. The reason is that this is a concept of investing based on analysis of unstructured data. However, there are still very few instances where analyzing unstructured data is practically applicable to real-world situations. For example, I previously represented people's reactions during the Nio Day using a button cloud.
"Beggar" has a similar concept. It implies that if a stock is mentioned a lot, you invest in it. The reason there is a lot of "milk" is that just because people talk a lot about No. 2, the machine has to judge whether it is good or bad, and the criteria for that are quite ambiguous. For example. Regarding the "giant to buy these raw materials 125," the machine will now act as a talisman.
First, "Liu Ara" will be counted as 1, and then "buy" will be counted as 1. It is highly likely that the machine will interpret this as people intending to buy No. 2. However, from our perspective, given the context, it does n't mean that this is being done physically; we are just asking out of curiosity.
But because the machine doesn't understand this and lacks context, the possibility of making a mistake is very high. There is too much ambiguity in this person's statements, so blindly trusting and following them carries a high risk of committing major errors later on. Therefore, I absolutely do not recommend it.
The reason I am saying this is that having analyzed unstructured data myself, I know how difficult this task is, and I personally judge it to be quite risky. I have briefly touched upon this in "Champions" as "following with the soul," but if I have more content to analyze next time, I will return with "Jaemin's TV Data." Thank you.
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