All language subtitles for 7. Drawing trend lines 2.0

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Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:00:00,170 --> 00:00:05,830 Drawing Trend Lines 2 .0 In line with the previous point, as we have 2 00:00:06,110 --> 00:00:10,230 it is very important that we draw the lines that will identify the price 3 00:00:10,230 --> 00:00:11,870 in the most correct way possible. 4 00:00:12,550 --> 00:00:17,170 Many traders, especially the less experienced ones, may sometimes find it 5 00:00:17,170 --> 00:00:18,590 difficult to do this successfully. 6 00:00:18,950 --> 00:00:21,890 One tool that can help us is the linear regression channel. 7 00:00:22,450 --> 00:00:26,650 Linear regression is a statistical concept that tries to predict a variable 8 00:00:26,650 --> 00:00:28,610 depending on the historical value of another. 9 00:00:29,420 --> 00:00:34,140 The linear regression channel is made up of three lines. The central one, which 10 00:00:34,140 --> 00:00:38,120 is the trend regression line created according to the least squares method, 11 00:00:38,120 --> 00:00:41,920 two standard deviations that establish the upper and lower lines. 12 00:00:42,280 --> 00:00:46,580 The TradingView platform offers this tool in the second menu of the panel 13 00:00:46,580 --> 00:00:51,080 located on the left, where the trend lines are located, and just at the 14 00:00:51,080 --> 00:00:54,940 of this option drop -down. The way to properly plot this type of regression 15 00:00:54,940 --> 00:00:59,860 channel is to identify the high and low of a full movement or swing, and anchor 16 00:00:59,860 --> 00:01:03,400 the trend line that is generated by clicking on the tool between these 17 00:01:04,120 --> 00:01:09,320 As we can see on the screen, two trend lines will automatically be generated, 18 00:01:09,320 --> 00:01:13,540 upper one corresponding to the positive deviation of the regression line and a 19 00:01:13,540 --> 00:01:15,800 lower one corresponding to the negative deviation. 20 00:01:16,600 --> 00:01:20,120 If we double -click on these lines, we can change their configuration. 21 00:01:20,780 --> 00:01:25,000 The key to these regression channels is that they must include most of the price 22 00:01:25,000 --> 00:01:27,960 action, just like the line drawing we explained earlier. 23 00:01:28,400 --> 00:01:31,800 and to ensure this, we can change the configuration of the parameters. 24 00:01:32,180 --> 00:01:38,400 I personally recommend using a setting between 1 .5 and 1 .75 plus or minus. 25 00:01:38,860 --> 00:01:44,120 In the examples we'll be looking at, the deviation is set to 1 .5 and negative 1 26 00:01:44,120 --> 00:01:49,480 .5 as it seems to me to adequately cover about 95 % of the price action. 27 00:01:50,540 --> 00:01:54,220 Regarding the source, this refers to the prices that you will use. 28 00:01:54,460 --> 00:01:57,240 My recommendation here is to leave it at closing prices. 29 00:01:57,710 --> 00:02:01,670 to avoid the variability that other types of prices can produce due to their 30 00:02:01,670 --> 00:02:05,930 constant change in real time in the style tab of the tool configuration 31 00:02:05,930 --> 00:02:10,389 you can change the color this also allows you to extend the future lines to 32 00:02:10,389 --> 00:02:14,490 infinity so that you can check in real time if the market continues to respect 33 00:02:14,490 --> 00:02:19,550 the dynamic keep in mind that regarding the drawing of lines beyond using them 34 00:02:19,550 --> 00:02:23,270 to provide us with potential trading zones for consideration which we will 35 00:02:23,270 --> 00:02:28,180 about later Another main use is to determine the end of the directional 36 00:02:28,180 --> 00:02:33,280 the short term as an input to begin to predict a possible market reversal and a 37 00:02:33,280 --> 00:02:34,680 potential reverse trading opportunity. 38 00:02:35,180 --> 00:02:39,480 In other words, we already know that we always want to trade in the direction of 39 00:02:39,480 --> 00:02:40,580 the prevailing market dynamic. 40 00:02:40,900 --> 00:02:45,260 In this case, if the market is falling, we are only going to look for short 41 00:02:45,260 --> 00:02:48,600 trades, and in the event we are looking for a possible purchase operation 42 00:02:48,600 --> 00:02:52,710 because we expect a bullish turn, we should at least wait for the bearish 43 00:02:52,710 --> 00:02:54,990 dynamic that the market is following to be broken. 44 00:02:55,690 --> 00:03:00,190 Anything other than that would exponentially increase the risk of 45 00:03:00,190 --> 00:03:03,270 we would be entering against the direction in which the market is 46 00:03:03,270 --> 00:03:07,690 unbalanced. This is the minimum key sign that we should expect to see. 47 00:03:08,550 --> 00:03:13,330 This style tab also allows us to access other information, such as the Pearson 48 00:03:13,330 --> 00:03:14,590 Correlation Coefficient. 49 00:03:15,040 --> 00:03:18,760 which shows us in numerical and quantitative terms the degree of 50 00:03:18,760 --> 00:03:23,340 that exists between the two variables, which we know are the start and end 51 00:03:23,340 --> 00:03:26,060 prices to which we have anchored the channel in this case. 52 00:03:26,780 --> 00:03:31,420 This coefficient varies between negative 1 and 1 and reflects the degree of 53 00:03:31,420 --> 00:03:36,020 association between two variables, where a value of 1 indicates a perfectly 54 00:03:36,020 --> 00:03:40,460 positive correlation, a value of negative 1 indicates a perfectly 55 00:03:40,460 --> 00:03:44,320 correlation, and a value of 0 indicates no correlation. 56 00:03:45,070 --> 00:03:49,590 For this example, if we look closely, we can see that the degree of correlation 57 00:03:49,590 --> 00:03:55,510 is 0 .88, very close to 1, which suggests that the channel drawn on the 58 00:03:55,510 --> 00:03:57,270 very closely represents reality. 59 00:03:58,150 --> 00:04:02,250 The way to create and manage the drawing of these regression channels is simple. 60 00:04:02,790 --> 00:04:06,650 First of all, we are going to talk about how to define the initial outline of 61 00:04:06,650 --> 00:04:07,650 the channel. 62 00:04:07,690 --> 00:04:11,410 Later, we will address the most logical way to modify said outline. 63 00:04:11,710 --> 00:04:15,650 For the initial creation of the linear regression channel, we are going to 64 00:04:15,650 --> 00:04:19,970 use the concept of pivot generation, through which we objectively determine 65 00:04:19,970 --> 00:04:23,630 creation of a pivot when the market develops two candlesticks above and 66 00:04:23,630 --> 00:04:24,630 the last limit. 67 00:04:25,130 --> 00:04:29,090 As soon as we confirm the appearance of a pivot, we can begin to draw a 68 00:04:29,090 --> 00:04:32,190 regression channel on it and in the direction of the subsequent movement. 69 00:04:33,050 --> 00:04:36,070 Let's imagine that we are currently on the chart and that we have launched a 70 00:04:36,070 --> 00:04:38,090 regression channel from the high to the low. 71 00:04:38,630 --> 00:04:41,750 At what point are we going to modify the endpoint of the channel? 72 00:04:42,210 --> 00:04:45,950 Well, right at the point when the price hits a low that is lower than the 73 00:04:45,950 --> 00:04:46,669 current one. 74 00:04:46,670 --> 00:04:51,550 At that precise moment, when the price develops a new low, we must change the 75 00:04:51,550 --> 00:04:53,510 endpoint of the bearish regression channel. 76 00:04:54,010 --> 00:04:57,490 This is the rule that we should always use for modifying the length of the 77 00:04:57,490 --> 00:05:02,170 channel. We should maintain the same start and end point until the price hits 78 00:05:02,170 --> 00:05:03,170 new high or low. 79 00:05:03,430 --> 00:05:05,710 Could we draw a channel between those two points? 80 00:05:06,050 --> 00:05:10,030 Absolutely. At this moment, we have the maximum pivot point confirmed. 81 00:05:10,570 --> 00:05:14,610 So if you are looking for a potential entry to sell right in that zone, an 82 00:05:14,610 --> 00:05:17,430 essential filter would be seeing the break in that bullish dynamic. 83 00:05:18,150 --> 00:05:22,550 To do this, what I recommend here is going down to a shorter time frame to 84 00:05:22,550 --> 00:05:23,850 better visualize the dynamic. 85 00:05:24,450 --> 00:05:28,990 This is because if we establish the start and end in the same time frame, 86 00:05:28,990 --> 00:05:32,630 channel will be too narrow and we won't be able to draw any clear conclusions. 87 00:05:33,630 --> 00:05:37,370 There, we see what the bullish regression channel created from the low 88 00:05:37,370 --> 00:05:39,510 high on a lower time frame would look like. 89 00:05:39,920 --> 00:05:44,260 As we can see, it enables us to very precisely identify the edges of the 90 00:05:44,260 --> 00:05:47,000 channel, so we can definitely use this to our advantage. 91 00:05:47,880 --> 00:05:51,860 Often, this movement, which we would treat in principle as simply a bullish 92 00:05:51,860 --> 00:05:56,360 correction, will not actually be a correction, but will instead continue to 93 00:05:56,360 --> 00:05:58,840 advance increasingly in line with the bullish dynamic. 94 00:05:59,580 --> 00:06:03,680 Establishing this filter before reverse trading is tremendously useful for our 95 00:06:03,680 --> 00:06:04,499 decision making. 96 00:06:04,500 --> 00:06:06,020 Let's continue with the example. 97 00:06:06,500 --> 00:06:10,860 Once the price has developed that lowest pivot point, we can start to use this 98 00:06:10,860 --> 00:06:13,220 to anchor a new bullish regression channel to it. 99 00:06:13,720 --> 00:06:18,800 As the price develops, it hits a maximum pivot point, so we use this to anchor 100 00:06:18,800 --> 00:06:19,800 the end of the channel. 101 00:06:20,020 --> 00:06:21,180 But up to what point? 102 00:06:21,700 --> 00:06:24,340 Until the market hits a new high, as in the example. 103 00:06:25,140 --> 00:06:28,760 After that point, we will wait once more for the price to hit a new maximum 104 00:06:28,760 --> 00:06:31,960 pivot point on which to anchor the end of the bullish channel. 105 00:06:32,480 --> 00:06:36,620 The market continues to move, zigzagging back and forth constantly. 106 00:06:37,290 --> 00:06:41,110 If we continue with this type of line drawing using the linear regression 107 00:06:41,290 --> 00:06:43,030 we should see something like this. 108 00:06:43,910 --> 00:06:47,670 Let's now look at another important factor that can emerge in the market. 109 00:06:48,430 --> 00:06:52,270 Imagine we are at this moment, on the last candlestick on the chart. 110 00:06:52,690 --> 00:06:57,210 At this point, we are seeing a major bullish movement from the last major low 111 00:06:57,210 --> 00:06:58,630 the high shown in the example. 112 00:06:59,390 --> 00:07:03,630 But as we can see, the price broke out at the bottom and then reversed again. 113 00:07:04,160 --> 00:07:06,880 generating a new, well -channeled upward movement. 114 00:07:07,560 --> 00:07:11,580 Which of the two regression channels should we consider to be more accurate 115 00:07:11,580 --> 00:07:12,580 therefore use? 116 00:07:12,620 --> 00:07:17,160 Well, as we discussed with respect to the traditional drawing of lines, it 117 00:07:17,160 --> 00:07:21,120 should be the market that tells us which of them best defines the current market 118 00:07:21,120 --> 00:07:25,900 context. Since both of them are currently in force, it will have to be 119 00:07:25,900 --> 00:07:26,900 by the market. 120 00:07:27,300 --> 00:07:31,960 The key here is to be clear at what point we need to mark a new end of the 121 00:07:31,960 --> 00:07:32,960 bullish channel. 122 00:07:33,080 --> 00:07:36,800 And as we know, this will be when the breakout of the last high occurs. 123 00:07:37,440 --> 00:07:42,060 If the price rises above that high, we will wait for the generation of a new 124 00:07:42,060 --> 00:07:46,020 maximum pivot point and we will mark the end of the bullish regression channel 125 00:07:46,020 --> 00:07:48,660 there. And this is what would eventually happen. 126 00:07:49,280 --> 00:07:53,860 Once the price breaks that last high, we can discard the previous short -term 127 00:07:53,860 --> 00:07:57,820 dynamic and look at the entire movement as one at the aggregate level. 128 00:07:59,260 --> 00:08:03,940 As we see, by including all of the latest price action, the slope of the 129 00:08:03,940 --> 00:08:07,940 flattens out to adjust for all the fluctuations that took place from the 130 00:08:08,260 --> 00:08:13,060 We already know that trends can continually change phases and go from 131 00:08:13,060 --> 00:08:17,060 more or less steep slope to another context with a different representation. 132 00:08:18,320 --> 00:08:22,780 What this method means is that we are relying on statistical approaches that 133 00:08:22,780 --> 00:08:26,440 use objectively, and this adds greater validity to our analysis. 134 00:08:26,720 --> 00:08:32,250 In case you're curious, The price in the example is that of the SP500 futures 135 00:08:32,250 --> 00:08:36,970 market, and this is the current context where it appears to have broken the 136 00:08:36,970 --> 00:08:40,150 bearish structural dynamic that it had been following in recent months. 137 00:08:40,630 --> 00:08:44,250 Does this mean that it is definitely going to return to a bullish path? 138 00:08:44,470 --> 00:08:45,470 Of course not. 139 00:08:45,570 --> 00:08:49,690 The fact that the bearish structure has broken upwards does not mean that in the 140 00:08:49,690 --> 00:08:53,270 medium or long term, the market will hit new all -time highs. 141 00:08:53,910 --> 00:08:58,470 This fact simply informs us that in the short term, control seems to be on the 142 00:08:58,470 --> 00:09:02,610 buyer's side. And this sign should be the minimum input that we are going to 143 00:09:02,610 --> 00:09:05,530 require from the market before assessing a potential opportunity. 144 00:09:05,850 --> 00:09:10,010 Even if that happens, we cannot rule out the possibility that the price may 145 00:09:10,010 --> 00:09:11,850 continue to fall again after a while. 146 00:09:12,350 --> 00:09:15,270 We already know that anything is possible in the market. 147 00:09:15,590 --> 00:09:19,690 We are now going to compare this way of drawing lines to identify the market 148 00:09:19,690 --> 00:09:23,790 dynamic versus the traditional way as prescribed by the technical analysis 149 00:09:23,790 --> 00:09:24,790 approach. 150 00:09:25,390 --> 00:09:28,870 For the purpose of what we are trying to achieve by drawing lines the 151 00:09:28,870 --> 00:09:32,990 traditional way, which looks at the precise point of contact in millimetric 152 00:09:32,990 --> 00:09:36,190 detail, does not offer us the same degree of confidence. 153 00:09:36,770 --> 00:09:41,030 As previously mentioned, one of our main goals when drawing trend lines is to 154 00:09:41,030 --> 00:09:45,330 identify the current market trend and to know as soon as possible when there has 155 00:09:45,330 --> 00:09:49,450 been a change in said dynamic, so we can start looking for opportunities in the 156 00:09:49,450 --> 00:09:51,250 opposite direction if we so decide. 157 00:09:52,140 --> 00:09:55,460 Take a look at the difference between the different ways in which the lines 158 00:09:55,460 --> 00:09:56,379 been drawn. 159 00:09:56,380 --> 00:10:01,820 As every manual tells us, we have used the two lows to initiate the uptrend and 160 00:10:01,820 --> 00:10:03,900 two highs to anchor the downtrend. 161 00:10:04,300 --> 00:10:09,080 Were we to rely on these to identify the end of the trend, we would be too late. 162 00:10:09,400 --> 00:10:13,940 On the other hand, if we use linear regression, we can quickly adapt to the 163 00:10:13,940 --> 00:10:15,180 slightest change in the market. 164 00:10:15,920 --> 00:10:19,820 Since what we are interested in identifying is the dynamic that the 165 00:10:19,820 --> 00:10:24,110 following, The use of regression channels is undoubtedly much more 166 00:10:24,310 --> 00:10:27,550 above all and fundamentally because it is totally objective. 16269

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