All language subtitles for 2. Very long-term structures

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These are the user uploaded subtitles that are being translated: 1 00:00:00,240 --> 00:00:01,920 Very long -term structures. 2 00:00:02,560 --> 00:00:06,680 What happens when we observe structures that have taken a long time to develop? 3 00:00:07,340 --> 00:00:09,360 Those ranging from months to years. 4 00:00:09,760 --> 00:00:13,320 Are there traders who are building positions across all that time? 5 00:00:13,760 --> 00:00:17,000 Well, this is the fundamental principle of the Wyckoff method. 6 00:00:17,280 --> 00:00:20,500 So, from a theoretical point of view, the answer would be yes. 7 00:00:20,920 --> 00:00:25,000 But we already know it's action, not theory, that generates a profit. 8 00:00:25,420 --> 00:00:29,120 It is time then to draw an operational conclusion from this idea. 9 00:00:29,900 --> 00:00:33,880 My point of view is that the idea that there are traders who could be building 10 00:00:33,880 --> 00:00:38,260 their position for months or years seems unlikely, although anything is possible 11 00:00:38,260 --> 00:00:39,260 in the market. 12 00:00:39,340 --> 00:00:44,540 If we think logically, in really liquid markets, these large traders shouldn't 13 00:00:44,540 --> 00:00:47,320 find too many problems in meeting their liquidity requirements. 14 00:00:48,380 --> 00:00:52,060 Assets for which the participation is low might be a different matter. 15 00:00:52,440 --> 00:00:56,000 This is where an inexplicable aspect of the methodology emerges. 16 00:00:56,680 --> 00:01:01,480 Even applying logic, we may continue to see very long -term structures that meet 17 00:01:01,480 --> 00:01:06,020 all the analytical characteristics of price and volume, as in the following 18 00:01:06,020 --> 00:01:07,980 -US dollar monthly futures chart. 19 00:01:08,660 --> 00:01:12,480 Is it really possible that highly skilled traders might have been 20 00:01:12,480 --> 00:01:16,000 distribution structure from 2008 to 2015 or so? 21 00:01:16,340 --> 00:01:21,260 It's almost unfathomable. But the distribution structure is there, and it 22 00:01:21,260 --> 00:01:23,740 to be following the roadmap proposed by the methodology. 23 00:01:24,540 --> 00:01:27,690 Astounding. Let each person draw their own conclusions. 24 00:01:28,310 --> 00:01:32,130 I think a more logical point of view is that the market went through different 25 00:01:32,130 --> 00:01:35,970 phases of control throughout the development of its structure, as we 26 00:01:35,970 --> 00:01:40,090 when talking about the context of the dynamic nature of the markets, 27 00:01:40,090 --> 00:01:44,530 when said structure encompasses such a long period of time, a period of time 28 00:01:44,530 --> 00:01:48,470 during which the fundamental conditions of the particular asset were probably 29 00:01:48,470 --> 00:01:49,470 changing. 30 00:01:49,850 --> 00:01:54,550 Looking at this example, we can propose the hypothesis that the macroeconomic 31 00:01:54,550 --> 00:01:58,670 conditions of the currencies have been skewed with policies that favored the 32 00:01:58,670 --> 00:02:02,070 weakening of the euro and or the strengthening of the US dollar. 33 00:02:02,810 --> 00:02:07,150 Conditions that have developed as a result of economic policies implemented 34 00:02:07,150 --> 00:02:11,510 precise moments where again, at an aggregate level, these have allowed the 35 00:02:11,510 --> 00:02:13,670 development of said behavior in the market. 36 00:02:14,130 --> 00:02:18,170 Here we see another example, this time a weekly chart for Bitcoin. 37 00:02:18,710 --> 00:02:23,460 As we see, During what appears to be a distribution structure given the effect 38 00:02:23,460 --> 00:02:27,960 it is currently having, multiple smaller structures can be observed within it 39 00:02:27,960 --> 00:02:29,660 which have their corresponding effects. 40 00:02:30,160 --> 00:02:32,380 A much more logical approach to be sure. 41 00:02:32,640 --> 00:02:35,120 Has someone been selling through the entire range? 42 00:02:35,360 --> 00:02:40,000 Perhaps. But it seems more sensible to me to think that the participants have 43 00:02:40,000 --> 00:02:43,440 entered and exited the market in accordance with the changes that were 44 00:02:43,440 --> 00:02:44,780 place in the Bitcoin ecosystem. 45 00:02:45,600 --> 00:02:49,540 and that all their interaction at the aggregate level has definitively shaped 46 00:02:49,540 --> 00:02:50,418 the structure. 47 00:02:50,420 --> 00:02:55,580 So, if at an aggregate level it is considered unlikely that accumulation or 48 00:02:55,580 --> 00:02:59,140 distribution campaigns are being built, why analyze these structures? 49 00:02:59,380 --> 00:03:00,620 Why take them into account? 50 00:03:01,140 --> 00:03:04,880 This is when we have to give the issue some meaning from a trading point of 51 00:03:04,880 --> 00:03:09,180 view. The structures, however long -term they may be, identify potential 52 00:03:09,180 --> 00:03:11,940 liquidity areas which can be found at the extremes. 53 00:03:12,700 --> 00:03:16,900 It is in those trading zones where we want to enter or exit the market or 54 00:03:16,900 --> 00:03:17,819 our trades. 55 00:03:17,820 --> 00:03:20,480 They also help us to establish the market bias. 56 00:03:20,720 --> 00:03:24,720 If we are below a structure, we will assume that what we see above is the 57 00:03:24,720 --> 00:03:29,100 distribution, and if we are above the structure, we will assume that control 58 00:03:29,100 --> 00:03:32,200 on the long side and we will look to take up buying positions. 59 00:03:32,720 --> 00:03:36,940 But in addition, they also help us to identify areas where the price is likely 60 00:03:36,940 --> 00:03:41,400 to go again in the future, thus establishing very interesting profit 61 00:03:41,400 --> 00:03:42,400 zones. 5788

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