All language subtitles for 2. Why Technical Analysis Works...But Not Every Time

af Afrikaans
ak Akan
sq Albanian
am Amharic
hy Armenian
az Azerbaijani
eu Basque
be Belarusian
bem Bemba
bn Bengali
bh Bihari
bs Bosnian
br Breton
bg Bulgarian
km Cambodian
ca Catalan
ceb Cebuano
chr Cherokee
ny Chichewa
zh-CN Chinese (Simplified)
zh-TW Chinese (Traditional)
co Corsican
hr Croatian
cs Czech
da Danish
nl Dutch
en English
eo Esperanto
et Estonian
ee Ewe
fo Faroese
tl Filipino
fi Finnish
fy Frisian
gaa Ga
gl Galician
ka Georgian
de German
el Greek
gn Guarani
gu Gujarati
ht Haitian Creole
ha Hausa
haw Hawaiian
iw Hebrew
hi Hindi
hmn Hmong
hu Hungarian
is Icelandic
ig Igbo
id Indonesian
ia Interlingua
ga Irish
it Italian
ja Japanese
jw Javanese
kn Kannada
kk Kazakh
rw Kinyarwanda
rn Kirundi
kg Kongo
ko Korean
kri Krio (Sierra Leone)
ku Kurdish
ckb Kurdish (Soranรฎ)
ky Kyrgyz
lo Laothian
la Latin
lv Latvian
ln Lingala
lt Lithuanian
loz Lozi
lg Luganda
ach Luo
lb Luxembourgish
mk Macedonian
mg Malagasy
ms Malay
ml Malayalam
mt Maltese
mi Maori
mr Marathi
mfe Mauritian Creole
mo Moldavian
mn Mongolian
my Myanmar (Burmese)
sr-ME Montenegrin
ne Nepali
pcm Nigerian Pidgin
nso Northern Sotho
no Norwegian
nn Norwegian (Nynorsk)
oc Occitan
or Oriya
om Oromo
ps Pashto
fa Persian
pl Polish
pt-BR Portuguese (Brazil)
pt Portuguese (Portugal)
pa Punjabi
qu Quechua
ro Romanian
rm Romansh
nyn Runyakitara
ru Russian
sm Samoan
gd Scots Gaelic
sr Serbian
sh Serbo-Croatian
st Sesotho
tn Setswana
crs Seychellois Creole
sn Shona
sd Sindhi
si Sinhalese
sk Slovak
sl Slovenian
so Somali
es Spanish
es-419 Spanish (Latin American)
su Sundanese
sw Swahili
sv Swedish
tg Tajik
ta Tamil
tt Tatar
te Telugu
th Thai
ti Tigrinya
to Tonga
lua Tshiluba
tum Tumbuka
tr Turkish
tk Turkmen
tw Twi
ug Uighur
uk Ukrainian
ur Urdu
uz Uzbek
vi Vietnamese
cy Welsh
wo Wolof
xh Xhosa
yi Yiddish
yo Yoruba
zu Zulu
Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:00,390 --> 00:00:05,670 Let's talk about why technical analysis works, and it works very, very well most of the time, but 2 00:00:05,670 --> 00:00:06,800 not every time. 3 00:00:06,810 --> 00:00:07,890 And so we'll get into that a little bit. 4 00:00:07,890 --> 00:00:13,350 And the underlying concepts around technical analysis, when you're looking at a security and a lot 5 00:00:13,350 --> 00:00:15,780 of it gets back to the whole idea of supply and demand. 6 00:00:15,780 --> 00:00:16,040 Right. 7 00:00:16,800 --> 00:00:20,720 If you have a lot of demand for something, the prices will will rise up. 8 00:00:20,730 --> 00:00:24,450 You know, if somebody really wants a whole bunch of people are buying a certain product, for example, 9 00:00:24,720 --> 00:00:27,090 you know, the person who sells that product could raise the price. 10 00:00:27,390 --> 00:00:30,420 Same thing with trading of a security. 11 00:00:30,420 --> 00:00:33,160 If there's a lot of demand for security, the price will rise. 12 00:00:33,480 --> 00:00:34,020 And so what? 13 00:00:34,020 --> 00:00:35,700 This leads with the supply and demand. 14 00:00:35,700 --> 00:00:37,740 It leads to predictable behaviors. 15 00:00:37,980 --> 00:00:42,450 If we start seeing certain patterns or certain things happening, we can anticipate that there's going 16 00:00:42,450 --> 00:00:47,840 to be changes or things that are going to happen as a result of that supply and demand. 17 00:00:48,030 --> 00:00:49,650 And it's been around a long time. 18 00:00:49,650 --> 00:00:54,000 I mean, it's been around since like the first time was ever talked about in the book I read was in 19 00:00:54,240 --> 00:00:58,290 nineteen forty eight, you know, so it's not something that's like just brand new that you've never 20 00:00:58,290 --> 00:00:59,550 been really proven or tested. 21 00:00:59,550 --> 00:01:02,070 It's been used for a very long time. 22 00:01:02,070 --> 00:01:06,990 In fact, you know, some things like candlestick price patterns and all that go way back, you know, 23 00:01:06,990 --> 00:01:09,000 hundreds and hundreds of years back in Japan. 24 00:01:09,240 --> 00:01:14,640 But certainly the term technical now, certainly since 1948 and many different things around that improving 25 00:01:14,820 --> 00:01:17,310 why that works, but not all the time. 26 00:01:17,460 --> 00:01:20,160 So let's talk about what's the idea behind this. 27 00:01:20,160 --> 00:01:25,320 And one way to think about it is how, you know, people will travel together or people will invest 28 00:01:25,320 --> 00:01:25,720 together. 29 00:01:25,740 --> 00:01:29,370 Traders will get an idea and they'll kind of start moving together. 30 00:01:29,370 --> 00:01:29,580 Right. 31 00:01:29,580 --> 00:01:31,460 And that's kind of what we think about as trends. 32 00:01:31,470 --> 00:01:31,650 Right? 33 00:01:31,650 --> 00:01:33,390 I think we're all kind of moving in the same direction. 34 00:01:33,660 --> 00:01:36,300 It's almost like like a herd mentality. 35 00:01:36,300 --> 00:01:36,610 Right. 36 00:01:36,840 --> 00:01:40,260 OK, so I'm not going to say that people are like sheep, OK? 37 00:01:40,260 --> 00:01:42,720 People are not sheep, OK? 38 00:01:42,990 --> 00:01:48,780 But it's the idea of of a number of people or animals traveling together, going in the same direction, 39 00:01:48,990 --> 00:01:49,280 you know. 40 00:01:49,300 --> 00:01:54,450 So like, if you look at this picture, for example, you could see that these sheep are traveling in 41 00:01:54,450 --> 00:01:55,290 a certain direction. 42 00:01:55,290 --> 00:01:55,500 Right. 43 00:01:55,500 --> 00:02:00,420 They're headed downhill on a road and nice and easy for them to, you know, walk down the road and 44 00:02:00,420 --> 00:02:02,190 they're all kind of headed in that same direction. 45 00:02:02,190 --> 00:02:03,030 For the most part. 46 00:02:03,300 --> 00:02:05,370 You can even consider that momentum investing. 47 00:02:05,370 --> 00:02:05,610 Right. 48 00:02:05,610 --> 00:02:12,060 And we'll talk about momentum indicators where they're all kind of headed in this easy trend going down 49 00:02:12,060 --> 00:02:13,290 the down the road. 50 00:02:13,500 --> 00:02:17,970 But you might also notice something that's going on that's a little different in the upper left. 51 00:02:17,970 --> 00:02:19,410 You know, do you see the little grass there? 52 00:02:19,410 --> 00:02:22,950 On the left, there's a few sheep, one on the grass that, hey, this looks pretty good over here. 53 00:02:23,250 --> 00:02:24,960 Let's go over here and have some grass. 54 00:02:25,290 --> 00:02:27,090 Now, they're not following the trend. 55 00:02:27,090 --> 00:02:30,990 Like, if we were investors, we might say that this is a definite downward trend. 56 00:02:30,990 --> 00:02:31,200 Right. 57 00:02:31,200 --> 00:02:34,740 Look at how everything's kind of moving down the hill and it's easy to move down the hill. 58 00:02:34,980 --> 00:02:39,120 But we want to watch what's going on in that hill over there, because that might be what we would call 59 00:02:39,120 --> 00:02:42,720 a technical analysis, a breakout or a changing of the trend. 60 00:02:42,720 --> 00:02:44,190 And this is going to be a real breakout. 61 00:02:44,190 --> 00:02:46,020 It's going to change the trend. 62 00:02:46,020 --> 00:02:48,690 Are the sheep going to change the direction and now go to the hill? 63 00:02:49,020 --> 00:02:53,910 So if we think of this as terms of a security, let's say prices have been falling, going down the 64 00:02:53,910 --> 00:02:58,260 hill, but now something's happening, something in the news or people are just for whatever reason, 65 00:02:58,260 --> 00:03:02,970 are changing that supply and demand, then they're going to now go on the hill and the prices are going 66 00:03:02,970 --> 00:03:03,930 to start to rise. 67 00:03:04,200 --> 00:03:10,540 So if we have an indicator that says, oh, when certain things happen, people are going to start seeing 68 00:03:10,650 --> 00:03:14,760 the prices are going to start rising, kind of the idea of just like we see enough sheep that go up 69 00:03:14,760 --> 00:03:17,100 on the hill, the sheep will change direction, too. 70 00:03:17,460 --> 00:03:18,720 So maybe it's a break up. 71 00:03:18,720 --> 00:03:19,770 Maybe a trend is forming. 72 00:03:19,770 --> 00:03:24,570 Maybe it's just a retracement, which is another term for a just a temporary move where it kind of goes 73 00:03:24,570 --> 00:03:26,190 up for a little bit, then comes back right away. 74 00:03:26,310 --> 00:03:27,150 It's a temporary move. 75 00:03:27,150 --> 00:03:28,590 So we're going to learn all about that. 76 00:03:29,130 --> 00:03:34,290 So that's the underlying idea of why and why it works, because it's looking at these kind of macro 77 00:03:34,290 --> 00:03:35,490 type trends now. 78 00:03:35,490 --> 00:03:39,660 It doesn't work every time because one, nothing's 100 percent perfect, of course. 79 00:03:39,870 --> 00:03:42,600 And then there's unexpected random events that can occur. 80 00:03:42,780 --> 00:03:45,450 And these random events could come at a company level. 81 00:03:45,450 --> 00:03:49,670 Let's say the CEO unexpectedly dies or gets fired or something happens. 82 00:03:49,680 --> 00:03:53,790 You know, there's something that can happen at a company level or the earnings announcement unexpectedly 83 00:03:54,030 --> 00:03:55,950 can drive prices up and down. 84 00:03:56,190 --> 00:04:01,200 But the things that can happen at a big country or global levels, too, that are really beyond our 85 00:04:01,200 --> 00:04:05,430 control and even beyond our analysis, because something really unexpected happens. 86 00:04:05,430 --> 00:04:11,160 I mean, if we think about something that was really a big unexpected thing or had a certain shock to 87 00:04:11,160 --> 00:04:16,390 all the scary markets for the time being was like covid-19 remember back twenty twenty. 88 00:04:16,390 --> 00:04:17,670 You know, we had covid-19. 89 00:04:17,670 --> 00:04:20,360 And if we look at this chart here, you could go on the left. 90 00:04:20,460 --> 00:04:21,810 This represents prices. 91 00:04:22,290 --> 00:04:25,350 Amazon's in the blue for Amazon as a stock. 92 00:04:25,560 --> 00:04:28,800 And then they've got we've got on here Norwegian cruise lines. 93 00:04:28,800 --> 00:04:29,100 Right. 94 00:04:29,100 --> 00:04:34,770 So cruise ship and we've got the S&P 500 like five hundred large U.S. stocks to just compare them. 95 00:04:35,030 --> 00:04:39,690 If you look to the left, you can see how the lines are together and how this represents prices. 96 00:04:39,690 --> 00:04:42,510 And so they're all kind of trending together as far as the prices. 97 00:04:42,750 --> 00:04:47,370 And then in February and March, it becomes known that covid is really going to be a problem, becomes 98 00:04:47,370 --> 00:04:51,330 a global pandemic and gets announced that when governments start talking about it in that way. 99 00:04:51,630 --> 00:04:56,490 So it sends all the prices down, no matter how good a stock is or how good a security is, it sends 100 00:04:56,490 --> 00:04:59,760 all everything down because there's this big, unexpected event. 101 00:05:00,100 --> 00:05:04,900 Now, once the event happens, then things change or can change, you can see where people would look 102 00:05:04,900 --> 00:05:06,800 at Amazon and say, whoa, wait a minute. 103 00:05:06,880 --> 00:05:11,920 In a pandemic where we can't get out and we're locked down and we need goods supplied to us that our 104 00:05:11,920 --> 00:05:15,010 home maybe write directly to our door, where are you going to buy from? 105 00:05:15,010 --> 00:05:15,600 Amazon. 106 00:05:15,610 --> 00:05:16,980 This is good for Amazon. 107 00:05:16,990 --> 00:05:22,570 And as you can see, Amazon's price took off for the rest of the year from that S&P 500 rebounded a 108 00:05:22,570 --> 00:05:25,150 little bit to team actually finish the year up a little bit. 109 00:05:25,420 --> 00:05:29,620 But if you look at Norwegian Cruise Line, they went way down and had recovered at least during the 110 00:05:29,620 --> 00:05:30,570 year of 2020. 111 00:05:30,640 --> 00:05:35,830 A little bit of recovery, but not a lot because, again, this unexpected event had a bigger impact 112 00:05:35,830 --> 00:05:36,280 on them. 113 00:05:36,280 --> 00:05:39,670 I mean, who wants to be on a cruise line when you got a pandemic? 114 00:05:39,670 --> 00:05:44,980 And they remember the early stories about covid-19, it was people trapped on cruise ships and they 115 00:05:44,980 --> 00:05:47,350 couldn't get home and in covid was raging. 116 00:05:47,350 --> 00:05:50,580 So you can see the impact of this unexpected event happen. 117 00:05:50,600 --> 00:05:54,590 So sometimes it happens and you're going to learn about how we're going to put in built him, you know, 118 00:05:54,610 --> 00:05:59,170 protections and things like that to, you know, limit our losses, like stop loss orders. 119 00:05:59,170 --> 00:06:03,460 And things are going to learn about and how we can recognize these trends so we can get out quickly 120 00:06:03,460 --> 00:06:08,950 to its technical analysis about buying at the right time, but also selling at the right time and avoiding 121 00:06:08,950 --> 00:06:10,150 big losses like that. 122 00:06:10,630 --> 00:06:16,480 So, again, nothing is 100 percent foolproof, but having an exit strategy really helps if you had 123 00:06:16,480 --> 00:06:17,320 no exit strategy. 124 00:06:17,390 --> 00:06:22,110 Norwegian cruise lines, you rode that way down like I think was down 70 percent or something. 125 00:06:23,230 --> 00:06:27,910 And if you're like, say, a buy and hold investor, which is different than trading and more and certainly 126 00:06:27,910 --> 00:06:33,370 different the technical training, you know, you can suffer through that and then you just don't get 127 00:06:33,370 --> 00:06:33,640 out. 128 00:06:33,640 --> 00:06:35,740 You don't get out and you try to ride out the storm. 129 00:06:35,740 --> 00:06:40,420 Now you see Norwegian go down so far, it's going to take a longer time to ride out that storm than, 130 00:06:40,600 --> 00:06:42,120 let's say, Amazon would. 131 00:06:42,470 --> 00:06:47,140 So but with technical trading ideas that I'm actually an active trader around that. 132 00:06:48,250 --> 00:06:52,780 So another thing with technical analysis, too, is it doesn't tell you how much to invest. 133 00:06:52,900 --> 00:06:58,120 It tells you with indicators and things whether you should invest it, how, but it doesn't tell you 134 00:06:58,120 --> 00:06:59,000 how much. 135 00:06:59,440 --> 00:07:03,550 We'll talk a little bit about some money investment strategies at the very end of the course to help 136 00:07:03,550 --> 00:07:04,270 you with that. 137 00:07:04,610 --> 00:07:09,700 The actual indicators and things don't tell you like or if I see this price bar or I see this moving 138 00:07:09,700 --> 00:07:14,050 average go like this, I should invest X number of whatever of my money. 139 00:07:14,350 --> 00:07:19,090 It doesn't tell you that just tells you what's happening and then you decide what action you want to 140 00:07:19,090 --> 00:07:19,830 take on that. 141 00:07:20,200 --> 00:07:22,300 So technical analysis is terrific. 142 00:07:22,300 --> 00:07:25,510 Been around a long time, works but not perfect. 143 00:07:25,510 --> 00:07:26,770 You know, nothing's perfect, right? 14251

Can't find what you're looking for?
Get subtitles in any language from opensubtitles.com, and translate them here.