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These are the user uploaded subtitles that are being translated: 1 00:00:08,100 --> 00:00:08,910 Welcome back folks. 2 00:00:09,810 --> 00:00:12,120 This discussion is going to be with commodities. 3 00:00:12,660 --> 00:00:14,940 So everything I'm going to be talking about here should be viewed 4 00:00:14,940 --> 00:00:16,530 in light up a paper trade only. 5 00:00:17,490 --> 00:00:17,940 It's important. 6 00:00:17,940 --> 00:00:19,110 You reduce this claimers 7 00:00:22,540 --> 00:00:25,480 as a reminder, I'm not a licensed commodity trade advisor. 8 00:00:26,260 --> 00:00:28,450 Everything here is for informational purposes only. 9 00:00:36,460 --> 00:00:42,610 Okay folks, July, 2017, ICT mentorship, make a trades. 10 00:00:42,880 --> 00:00:45,940 The first lesson we're going to talking about the commodity market. 11 00:00:52,620 --> 00:00:52,860 okay. 12 00:00:52,860 --> 00:00:55,740 First, what is mega trades and what are they? 13 00:00:58,125 --> 00:01:02,025 One of the first things I learned from Larry Williams was this 14 00:01:02,025 --> 00:01:05,925 notion of finding these big moves that take place every year. 15 00:01:06,885 --> 00:01:10,905 And basically what would make a trade is, is, and I coined this term, this is 16 00:01:10,905 --> 00:01:12,555 something I picked up from my Williams. 17 00:01:12,555 --> 00:01:15,134 Obviously it was his catchphrase. 18 00:01:15,134 --> 00:01:19,545 He used forum, but it's a large price swing or trend that can produce massive 19 00:01:19,545 --> 00:01:25,215 potential gains that when compared to relative markets performs them all. 20 00:01:26,895 --> 00:01:30,855 Yeah, they're easily to spot historically in your price charts. 21 00:01:31,195 --> 00:01:33,075 You can see them every single calendar year. 22 00:01:35,505 --> 00:01:39,645 These moves have huge institutional sponsorship and it's coupled with 23 00:01:39,645 --> 00:01:44,415 strong influences from actual supply and demand factors that fuel these. 24 00:01:45,780 --> 00:01:50,700 So, yes, while I usually snub my news at supply and demand as a 25 00:01:50,700 --> 00:01:55,289 technical approach to trading a supply and demand, as it relates to 26 00:01:55,289 --> 00:01:58,320 commodities is an absolute reality. 27 00:01:58,320 --> 00:02:01,500 You have to, you have to have a good feel for what the supply and 28 00:02:01,500 --> 00:02:04,440 demand factors are for commodity to have any measure of success. 29 00:02:11,140 --> 00:02:17,424 Now, when we talk about commodities, Obviously, there is a number of 30 00:02:17,484 --> 00:02:18,864 commodities that we can choose from. 31 00:02:19,524 --> 00:02:22,524 But one of the things I wanted to talk about since we're talking about this 32 00:02:22,644 --> 00:02:28,225 particular asset class now, is that, should you be a commodity specialist? 33 00:02:29,334 --> 00:02:32,964 Well, when following the commodity markets, in my opinion, it's best to avoid 34 00:02:32,964 --> 00:02:35,185 being a specialist or one market trader. 35 00:02:36,234 --> 00:02:39,204 The reason why I say that is because our favorite commodity can provide plenty 36 00:02:39,204 --> 00:02:41,005 of setups to consider, but it might be. 37 00:02:42,410 --> 00:02:43,730 Well, other markets are on fire. 38 00:02:43,730 --> 00:02:49,040 In other words, if you're looking at one commodity and that's the one you make 39 00:02:49,040 --> 00:02:55,550 your bread and butter setups on, if you're just looking at that one, you'll never be 40 00:02:55,550 --> 00:03:00,170 able to find the bigger moves that take place to have extrapolated price swings, 41 00:03:00,830 --> 00:03:02,390 because you're only focusing on one thing. 42 00:03:02,780 --> 00:03:08,000 Now there's nothing wrong with having a special asset class or 43 00:03:08,000 --> 00:03:10,970 a special market to do you use. 44 00:03:11,775 --> 00:03:12,855 Bread and butter setups. 45 00:03:13,364 --> 00:03:18,975 But if you limit your scope, just to that, you're really discounting one of the best 46 00:03:19,215 --> 00:03:22,065 opportunities for you to get in here. 47 00:03:22,065 --> 00:03:25,695 And number one, improve as a trader, get a better feel for the general market. 48 00:03:25,965 --> 00:03:31,454 But the bottom line is, is if you can be profitable trading, these 49 00:03:31,454 --> 00:03:37,065 types of moves, why wouldn't you want to and commodities as a whole. 50 00:03:38,250 --> 00:03:41,790 Offer a very small universe of Marcus to analyze, to seek medicines. 51 00:03:43,364 --> 00:03:44,655 Kind of like the Forex market. 52 00:03:45,105 --> 00:03:49,364 Uh, I choose to follow just a few pairs of the majors, cross it, the dollar, 53 00:03:49,845 --> 00:03:52,875 and it takes a lot of the ambiguity away from what I should be doing. 54 00:03:53,234 --> 00:03:55,245 If there's not a signal that's very clear. 55 00:03:55,334 --> 00:03:56,415 I'm not doing anything. 56 00:03:56,745 --> 00:04:01,454 If there is a time of the year, when I believe that. 57 00:04:02,040 --> 00:04:04,529 A major trade or a large move is going to take place. 58 00:04:04,829 --> 00:04:08,070 Then I'll be doing my analysis across the entire spectrum of 59 00:04:08,070 --> 00:04:10,140 that asset class for commodities. 60 00:04:10,380 --> 00:04:12,510 You'll be doing it with several different sectors. 61 00:04:17,659 --> 00:04:17,860 Okay. 62 00:04:17,890 --> 00:04:21,769 The first category that we're going to be looking at is the agricultural markets. 63 00:04:22,760 --> 00:04:27,680 And we're going to first look here for mega trades and these 64 00:04:27,680 --> 00:04:29,120 are markets that feed the world. 65 00:04:30,075 --> 00:04:33,825 And as a result, they will have even greater supply and demand factors that 66 00:04:33,825 --> 00:04:41,175 move them droughts, insect damage frost or bumper crops will have an enormous 67 00:04:41,175 --> 00:04:43,335 effect on prices in these markets 68 00:04:49,045 --> 00:04:50,005 and the grain markets. 69 00:04:50,035 --> 00:04:51,685 We're going to take a look at the grain complex. 70 00:04:52,075 --> 00:04:55,345 And the first in the list is soybeans soybean meal. 71 00:04:56,250 --> 00:05:01,740 Soybean oil, both meal and oil are derivatives of the soybean itself. 72 00:05:03,150 --> 00:05:08,700 Wheat, corn, oats, canola, and rice. 73 00:05:10,050 --> 00:05:13,050 Now boats and rice. 74 00:05:13,050 --> 00:05:14,820 I traded it back in the nineties. 75 00:05:14,820 --> 00:05:16,170 It's a rather thin market. 76 00:05:16,590 --> 00:05:17,550 You can get hurt in that. 77 00:05:17,640 --> 00:05:19,560 If it starts to do a limit moves. 78 00:05:20,474 --> 00:05:25,335 And I did have the unfortunate experience of being caught in some of those things. 79 00:05:25,335 --> 00:05:26,085 And it's not fun. 80 00:05:26,715 --> 00:05:31,155 So I'm going to advocate here, not even to follow these, uh, 81 00:05:32,594 --> 00:05:34,515 three specific grain markets. 82 00:05:34,935 --> 00:05:39,015 Uh, when I was looking at the, uh, commodities years and years ago, 83 00:05:39,015 --> 00:05:42,554 back in the nineties, I would use these thin markets to look for. 84 00:05:43,530 --> 00:05:47,490 Drops in open interest to, to more or less build the idea that I thought 85 00:05:47,490 --> 00:05:50,310 that the green markets as a whole would go higher or lower based on that. 86 00:05:50,760 --> 00:05:52,859 And sometimes it worked and sometimes it didn't. 87 00:05:52,859 --> 00:05:58,200 So initially as a new trader, I built a lot more significance 88 00:05:58,200 --> 00:06:00,000 around that in my ignorance. 89 00:06:00,030 --> 00:06:04,830 But, uh, now I just simply don't even consider these three particular grains 90 00:06:05,460 --> 00:06:09,390 to be watched at all, but I include them here because of completeness sake. 91 00:06:10,740 --> 00:06:14,130 If you look at the green complex as a whole, as I taught earlier in 92 00:06:14,130 --> 00:06:18,030 the mentorship for the grains, I just like to follow the soybeans 93 00:06:18,060 --> 00:06:22,590 themselves, uh, scoreboard, trade wheat and sugar or trade corn. 94 00:06:22,590 --> 00:06:25,770 So it's really only three grains it's in that sector. 95 00:06:31,230 --> 00:06:35,219 And the livestock meat complex is going to be live cattle, 96 00:06:35,400 --> 00:06:36,930 feeder, cattle, and lean hogs. 97 00:06:37,350 --> 00:06:37,710 It used to be. 98 00:06:38,700 --> 00:06:41,760 Pork bellies in this sector, but they discontinued trading this 99 00:06:45,230 --> 00:06:45,920 moving on. 100 00:06:46,460 --> 00:06:48,020 Uh, we're looking at the softs. 101 00:06:48,440 --> 00:06:49,430 This is a food group. 102 00:06:50,210 --> 00:06:54,230 So we have coffee, cocoa, sugar, and orange juice. 103 00:06:54,230 --> 00:06:57,290 That brings us up to 10 commodity so far in agricultural. 104 00:06:59,500 --> 00:07:03,010 And then the fiber will be looking at cotton. 105 00:07:03,190 --> 00:07:06,040 So that's 11 markets in the agricultural market. 106 00:07:12,210 --> 00:07:12,450 Okay. 107 00:07:12,480 --> 00:07:16,469 The next area of opportunity is found in the financial markets. 108 00:07:17,340 --> 00:07:24,090 And this is a group of markets that are hard in nature and industrious. 109 00:07:24,180 --> 00:07:27,690 So industrial supply and demand factors are going to move these commodities. 110 00:07:28,020 --> 00:07:32,520 So wars economic drivers, interest rates, imports exports will have a greater 111 00:07:32,520 --> 00:07:33,900 impact on these kinds of commodity. 112 00:07:39,930 --> 00:07:40,080 Okay. 113 00:07:40,080 --> 00:07:43,560 The first one is going to be the metals market and it's broken into two 114 00:07:43,560 --> 00:07:49,650 categories, precious metals, which being the gold market, silver market, palladium 115 00:07:49,650 --> 00:07:51,900 and platinum palladium and platinum. 116 00:07:51,900 --> 00:07:57,539 Again, I had experienced trading, both are very thin, very thin, and I 117 00:07:57,539 --> 00:07:58,950 include them here for completeness sake. 118 00:08:01,215 --> 00:08:08,325 Just as a general rule of thumb, don't want to trade them in industrial metal. 119 00:08:08,415 --> 00:08:09,705 We have the high grade copper. 120 00:08:10,095 --> 00:08:16,095 So in essence, we have three metals to look at two precious, one industrial, 121 00:08:16,125 --> 00:08:18,045 so gold, silver, and high-grade copper. 122 00:08:19,095 --> 00:08:23,115 So we have a universe now it's not growing exponentially. 123 00:08:23,145 --> 00:08:24,915 Just adding a few more at a time. 124 00:08:27,475 --> 00:08:32,155 And we have the energy sector next, and we're looking at the markets 125 00:08:32,155 --> 00:08:37,284 that make up that energy sector being crude oil, heating oil, gasoline 126 00:08:37,284 --> 00:08:39,145 futures, and natural gas futures. 127 00:08:39,534 --> 00:08:43,345 Now, admittedly, I don't have any experience trading futures 128 00:08:43,345 --> 00:08:46,945 contracts in natural gas, but in recent years it's been very. 129 00:08:47,865 --> 00:08:52,365 And I knew folks online that have traded it and done very well with it. 130 00:08:52,395 --> 00:08:57,135 Not specifically with my content, but I do know other traders that have made their 131 00:08:57,135 --> 00:08:59,025 living trading, natural gas features. 132 00:09:04,365 --> 00:09:05,205 Alright, so fundamentals. 133 00:09:05,205 --> 00:09:07,095 And then they matter for this asset class. 134 00:09:07,605 --> 00:09:10,395 So commodities require a measure of fundamental consideration. 135 00:09:10,395 --> 00:09:11,265 In our analysis. 136 00:09:12,135 --> 00:09:15,765 We do not have to Wade through dry, boring crop reports or cattle head. 137 00:09:17,145 --> 00:09:19,635 A simple newspaper headline might be all that's needed to 138 00:09:19,635 --> 00:09:20,865 draw a fundamental conclusion. 139 00:09:21,345 --> 00:09:22,395 Now, what do I mean by that? 140 00:09:23,205 --> 00:09:29,085 Well, the idea of a market that has been quiet for a little 141 00:09:29,085 --> 00:09:32,955 while and suddenly there's the discussion by way of a headline. 142 00:09:33,315 --> 00:09:37,785 Uh, for instance, there, um, back in the nineties, there was a, uh, 143 00:09:38,135 --> 00:09:43,035 specific parasite that was supposedly infecting the, uh, the crops in the U S. 144 00:09:43,935 --> 00:09:48,555 And between that, the drought, um, and the heat waves that were going on, all 145 00:09:48,555 --> 00:09:53,625 the green markets went into a premium market and it just became like vertical, 146 00:09:54,345 --> 00:10:00,645 straight up runs on wheat, soybean and corn net in 19 94, 95 time period. 147 00:10:01,785 --> 00:10:05,565 And there was a lot of opportunity on the upside as a result of that 148 00:10:06,675 --> 00:10:09,015 ahead of all of those big moves. 149 00:10:09,045 --> 00:10:10,545 There were headlines. 150 00:10:11,370 --> 00:10:17,580 That suggested that there may be trouble looming for those particular crops. 151 00:10:18,180 --> 00:10:23,610 And it was mainly around the drought that dryness in the bread basket, if you will, 152 00:10:23,610 --> 00:10:29,250 the us, um, and there was this and I for life, man, I can't recall what that, uh, 153 00:10:29,280 --> 00:10:34,500 parasite was, but there was a, uh, some kind of a bug that was trying to eat. 154 00:10:35,215 --> 00:10:37,585 Um, and damage one of the crops. 155 00:10:38,065 --> 00:10:41,185 And whenever you hear that type of stuff and it's in the middle of summer, it 156 00:10:41,185 --> 00:10:44,235 just like selling gasoline on a fire. 157 00:10:44,315 --> 00:10:48,145 It will ignite all kinds of buying and the grain markets. 158 00:10:48,145 --> 00:10:51,625 This went vertical in the mid nineties as a result of all that. 159 00:10:52,495 --> 00:10:57,685 And one of the things I like is looking at commodities mega. 160 00:10:58,770 --> 00:10:59,730 Uh, futures magazine. 161 00:11:00,000 --> 00:11:03,570 Um, they have a little area in that magazine. 162 00:11:03,570 --> 00:11:09,240 That's basically like the hot commodities right now, and it's almost uncanny 163 00:11:09,240 --> 00:11:12,540 how they always talk about them once they have been moving for a while. 164 00:11:12,810 --> 00:11:15,540 And if you do any analysis on them, they're going to talk about them as 165 00:11:15,570 --> 00:11:17,760 this is the hot market right now, right. 166 00:11:17,760 --> 00:11:21,840 At a time when it would be at a point over reversal and true to 167 00:11:21,840 --> 00:11:23,220 form, that's what ends up happening. 168 00:11:23,700 --> 00:11:24,750 So if we see. 169 00:11:26,084 --> 00:11:27,045 Headline news. 170 00:11:27,045 --> 00:11:32,984 Or if we see a special focus on a specific commodity saying that they're 171 00:11:32,984 --> 00:11:37,125 hot commodities or, or these are the ones to be in right now, and we can look in 172 00:11:37,125 --> 00:11:40,814 the chart and see they've been moving for a while, uh, that tends to be a 173 00:11:40,814 --> 00:11:42,675 really good conditions for mega trades. 174 00:11:42,675 --> 00:11:46,484 The form, a reason why it's, because it builds in an idea of sentiment. 175 00:11:46,545 --> 00:11:49,214 And whenever there's an extreme in market sentiment, whether it be 176 00:11:49,545 --> 00:11:51,224 extremely bullish or extremely bear. 177 00:11:51,875 --> 00:11:55,385 Uh, those are wonderful contrary and signals. 178 00:11:55,895 --> 00:12:01,715 And if we can get those in a time when there's a overlap of technicals suggesting 179 00:12:01,715 --> 00:12:06,785 the same in terms of directional bias, um, it's a really wonderful opportunity and a 180 00:12:06,785 --> 00:12:09,365 real sweet spot for you to be as a trader. 181 00:12:14,705 --> 00:12:15,095 Okay. 182 00:12:15,125 --> 00:12:17,825 The fundamental starting point, obviously. 183 00:12:18,720 --> 00:12:22,680 Seen me teach this before, but it has to be in here for completeness sake, a 184 00:12:22,680 --> 00:12:26,520 quick and easy first step is to consult the delivery month closing prices. 185 00:12:27,090 --> 00:12:28,620 So you can go on the bar chart.com. 186 00:12:29,160 --> 00:12:33,270 If you have access to like wall street journal or investors business daily, 187 00:12:33,270 --> 00:12:39,000 just look at the, uh, delivery contract months and you can see the closing prices. 188 00:12:39,480 --> 00:12:42,090 And what you'll be doing is you're going to be noting any commodity 189 00:12:42,090 --> 00:12:43,680 that has a premium over a distance. 190 00:12:44,640 --> 00:12:47,400 And as the months go out again, they should be more expensive, but if it 191 00:12:47,400 --> 00:12:52,770 were reverses and it's more expensive now this delineates, the premium 192 00:12:53,670 --> 00:12:57,300 is in the nearby months, whereas it should be in the distant months. 193 00:12:57,990 --> 00:12:59,520 Uh, this will be our primary search. 194 00:12:59,550 --> 00:13:00,150 Every year. 195 00:13:00,390 --> 00:13:03,720 We go into the market place looking for these conditions because 196 00:13:04,350 --> 00:13:08,370 they are the common ingredient for explosive bull markets. 197 00:13:09,120 --> 00:13:13,410 Markets tend to have longer periods of going. 198 00:13:14,580 --> 00:13:16,290 And explosive price action. 199 00:13:16,290 --> 00:13:20,010 When there's a premium, when there's a lack of a premium, uh, it takes very 200 00:13:20,010 --> 00:13:23,040 little time to drop in those markets. 201 00:13:23,580 --> 00:13:23,790 But. 202 00:13:24,900 --> 00:13:29,550 We're looking for conditions when the market is predisposed to go higher and 203 00:13:29,550 --> 00:13:32,670 we've already arrived at that by other technical analysis that you'll learn 204 00:13:32,730 --> 00:13:36,090 in your top-down analysis templates in August, but I'm giving you the 205 00:13:36,090 --> 00:13:41,220 general points in this teaching, how to go about looking for mega trades, 206 00:13:41,220 --> 00:13:43,890 because going to get a homework assignment at the end of this teaching. 207 00:13:44,730 --> 00:13:49,500 But premiums are going to be a common denominator for explosive 208 00:13:49,560 --> 00:13:52,830 vertical parabolic price action moves that go higher. 209 00:13:53,070 --> 00:13:57,060 Well, beyond higher than you've ever imagined, the move would go. 210 00:13:58,140 --> 00:13:59,610 Those are really fun to be a part of. 211 00:13:59,670 --> 00:14:02,520 They can be scary the first few times you get in, because you want to get 212 00:14:02,520 --> 00:14:06,540 out everything in your being says, get out, but you want to hold on to them 213 00:14:06,540 --> 00:14:09,240 because they can go way farther than you ever thought they were going to go. 214 00:14:10,484 --> 00:14:14,535 Now we don't need a, or require a premium to be in a bullish commodity 215 00:14:15,435 --> 00:14:17,354 or to deem it a bullish commodity. 216 00:14:17,685 --> 00:14:20,655 It merely adds to the likelihood of a strong price rally. 217 00:14:20,685 --> 00:14:24,734 In the sense that bull markets are not all equal. 218 00:14:25,425 --> 00:14:29,354 A commercial bull market is a market that goes parabolically vertical 219 00:14:30,344 --> 00:14:34,155 and they, they both can start off the same where as a carrying charge. 220 00:14:35,535 --> 00:14:39,825 Standard bull market where it goes up, down, up, down typical stairway. 221 00:14:40,245 --> 00:14:42,345 Uh, that's not what you see in a commercial bull market 222 00:14:42,375 --> 00:14:43,815 commercial bull market with a pre. 223 00:14:44,685 --> 00:14:48,165 Where the nearby months are selling at a higher price than a distant months. 224 00:14:48,645 --> 00:14:52,995 They go parabolic and very quickly cover a lot of ground and they 225 00:14:52,995 --> 00:14:55,094 do so in short order very quick. 226 00:14:55,545 --> 00:15:00,224 Um, it may take many months for a long-term carrying chargeable market 227 00:15:00,224 --> 00:15:04,395 to come to fruition or complete, or go to a higher timeframe. 228 00:15:04,395 --> 00:15:08,895 Objective, not when there is a premium, it can do it extremely fast. 229 00:15:08,895 --> 00:15:11,354 It can do it very energetically and. 230 00:15:12,720 --> 00:15:16,140 Very fast and it's a very fun market to be in when it's like that. 231 00:15:20,750 --> 00:15:20,960 Okay. 232 00:15:20,960 --> 00:15:22,100 Dollar based analysis. 233 00:15:22,130 --> 00:15:24,560 Now, generally when the us dollar is declining, this 234 00:15:24,560 --> 00:15:26,330 allows commodity prices to rise. 235 00:15:26,900 --> 00:15:31,280 And conversely, when the us dollar rises this precious commodity prices lower. 236 00:15:31,490 --> 00:15:34,310 Now I say this because that's the general rule. 237 00:15:35,175 --> 00:15:38,655 But general thumbs are always panaceas. 238 00:15:39,045 --> 00:15:43,575 So there can, and will be periods lasting as long as a year when commodity 239 00:15:43,575 --> 00:15:47,145 prices and the U S dollar move in tandem or in the same direction. 240 00:15:47,745 --> 00:15:49,575 And there's no way around it. 241 00:15:49,635 --> 00:15:53,745 I don't have a secret science behind it where I can crack that code. 242 00:15:54,135 --> 00:15:56,385 Uh, w you just got to accept the fact that, you know, we 243 00:15:56,385 --> 00:16:00,225 can never be 100% accurate and therein lies the risks, uh, E. 244 00:16:01,455 --> 00:16:03,975 Past performance isn't indicative of future results. 245 00:16:03,975 --> 00:16:04,785 We all knew this. 246 00:16:05,115 --> 00:16:08,505 It's, it's spoken in all of the disclaimers in anyone that 247 00:16:09,435 --> 00:16:10,575 reads out their disclaimers. 248 00:16:10,705 --> 00:16:11,895 You audibly. 249 00:16:12,105 --> 00:16:12,825 They always say it. 250 00:16:12,975 --> 00:16:15,735 The same thing, you know, past performance is not indicative of future results. 251 00:16:16,965 --> 00:16:21,015 Everything I'm sharing here now are things that I've observed and picked up 252 00:16:21,075 --> 00:16:29,115 over 24 years now coming up where there's this a massive amount of probability. 253 00:16:30,324 --> 00:16:33,025 For certain things to take place. 254 00:16:33,775 --> 00:16:38,425 And while they are historically and statistically proven that they are 255 00:16:38,425 --> 00:16:43,824 likely to occur, does it not mean, or to imply that you should put money on them? 256 00:16:43,824 --> 00:16:47,635 Because I'm talking about here, when you do these studies and 257 00:16:47,635 --> 00:16:52,314 exercises, it's meant to stimulate your overall general market aptitude. 258 00:16:52,915 --> 00:16:56,425 But if you choose to trade on these ideas with life funds, 259 00:16:56,814 --> 00:16:57,865 that's entirely up to you. 260 00:16:57,865 --> 00:16:58,105 I don't know. 261 00:16:58,890 --> 00:17:03,930 You did the glory fourth, and I surely don't want the shame 262 00:17:03,930 --> 00:17:04,919 for it when it doesn't work. 263 00:17:04,990 --> 00:17:10,950 I'm basically encouraging you to use these tools and these concepts to build a 264 00:17:10,950 --> 00:17:16,319 greater understanding of your price action analysis and general market condition. 265 00:17:22,480 --> 00:17:22,690 Okay. 266 00:17:22,690 --> 00:17:25,960 Sector, group leaders, when we are expecting higher 267 00:17:25,960 --> 00:17:27,069 commodity prices in general. 268 00:17:27,990 --> 00:17:31,830 We will seek to filter those markets, that exhibit very bullish characteristics. 269 00:17:33,030 --> 00:17:36,090 When we are expecting lower commodity prices in general, we will seek to 270 00:17:36,090 --> 00:17:39,540 filter those markets, that exhibit very barest characteristics. 271 00:17:40,680 --> 00:17:44,040 Now there can be opportunities to be contrary and in either of the 272 00:17:44,040 --> 00:17:49,379 conditions explained above, but to keep things simple, we're going 273 00:17:49,379 --> 00:17:54,060 to assume that we understand when dollars are going to go higher when 274 00:17:54,060 --> 00:17:55,020 the dollar's going to go lower. 275 00:17:55,290 --> 00:17:56,820 And we're going to use that as our basis. 276 00:17:57,570 --> 00:18:00,420 Yeah, there's other things you're gonna learn in August to help you fine 277 00:18:00,420 --> 00:18:04,800 tune a directional bias and also know specifically what you're reaching for, 278 00:18:04,800 --> 00:18:09,510 what concept, what type of trading pattern should lend well in that condition? 279 00:18:10,304 --> 00:18:14,385 But for now, I'm going to speak in broad brush terms because 280 00:18:14,715 --> 00:18:16,814 it will help build the idea. 281 00:18:16,875 --> 00:18:20,504 When we go into August, those PDFs, you'll have a little bit more understanding 282 00:18:20,594 --> 00:18:24,824 and that gap will be bridged quicker because of this teaching and this whole 283 00:18:24,824 --> 00:18:26,175 entire month's teachings actually. 284 00:18:27,014 --> 00:18:32,294 But if you look at this chart here, it's a overlay that I actually created 285 00:18:32,355 --> 00:18:36,225 to show what I'm going to show you in the second slide after this one. 286 00:18:38,205 --> 00:18:40,335 I want you to take a look at the wheat market. 287 00:18:40,365 --> 00:18:44,804 The wheat market is the, a little bit darker line and the lighter 288 00:18:44,804 --> 00:18:47,205 line is the soybean market. 289 00:18:47,955 --> 00:18:49,725 So when we're looking for. 290 00:18:50,655 --> 00:18:55,485 Commodities, the rally as a whole, while the dollar index ideally should 291 00:18:55,485 --> 00:18:58,155 be going lower or about the trade lower. 292 00:18:58,605 --> 00:19:02,655 Um, that gives us a reason to anticipate higher prices and commodities. 293 00:19:03,165 --> 00:19:08,415 Now, while this isn't a mega trade per se, um, this is how they start off. 294 00:19:08,504 --> 00:19:09,675 So that's why I'm showing it to you. 295 00:19:10,185 --> 00:19:15,014 And this is actually as of right now at the time of this recording, uh, the first 296 00:19:15,045 --> 00:19:18,465 week or so of July, 2017, uh, Fridays. 297 00:19:20,060 --> 00:19:28,760 Shows us the price action here relative to the wheat market and the soybean market. 298 00:19:29,330 --> 00:19:30,830 Uh, I did not include corn. 299 00:19:30,830 --> 00:19:33,290 And if you take a look at the corn market, you'll see why, because it's 300 00:19:33,290 --> 00:19:35,540 in a consolidation and these two. 301 00:19:36,990 --> 00:19:40,830 Are a little bit more energetic and we can actually see an example 302 00:19:40,860 --> 00:19:42,360 of smart money accumulation. 303 00:19:43,080 --> 00:19:44,280 So the dollar has been bearish. 304 00:19:44,460 --> 00:19:48,120 So that means higher prices should be expected in the commodity markets. 305 00:19:48,420 --> 00:19:50,850 Not always, not a panacea, but it should happen. 306 00:19:51,360 --> 00:19:55,200 But under that pretense that it may go higher. 307 00:19:55,500 --> 00:19:58,230 We're going to be looking for characteristics to support the idea 308 00:19:58,230 --> 00:19:59,820 that the green markets should go higher. 309 00:20:00,150 --> 00:20:01,140 And how can we do that? 310 00:20:01,200 --> 00:20:02,100 We start going in and. 311 00:20:03,210 --> 00:20:07,110 The relative lows across the grain complex. 312 00:20:07,700 --> 00:20:09,690 Obviously we have only three grains to look at. 313 00:20:09,780 --> 00:20:13,680 It's the soybean market, the corn market, and the wheat market. 314 00:20:14,490 --> 00:20:17,220 I have wheat overlaid with soybean. 315 00:20:17,580 --> 00:20:19,110 Now you don't need to do this, but I do. 316 00:20:19,130 --> 00:20:20,100 I'm doing it graphically. 317 00:20:20,100 --> 00:20:21,330 So you can see what I'm referring to. 318 00:20:22,110 --> 00:20:27,660 As you can see, the mid portion of may going into the first week of June 319 00:20:28,710 --> 00:20:30,360 wheat was unwilling to make a lower. 320 00:20:31,065 --> 00:20:34,065 While the soybean market had fallen off rather precipitously, 321 00:20:34,905 --> 00:20:39,105 then both rallied a little bit up into, around the 19th of June. 322 00:20:39,585 --> 00:20:45,825 And then while both had a modest decline, soybeans made a lower low, but the 323 00:20:45,825 --> 00:20:49,605 wheat market failed to go lower and you can see that happening in here. 324 00:20:50,265 --> 00:20:51,645 So soybeans went lower. 325 00:20:52,815 --> 00:20:57,045 We can see clearly here that wheat is the stronger of the grain markets. 326 00:20:59,475 --> 00:21:04,004 And as a result, the wheat market rallied $6,500 per contract. 327 00:21:04,635 --> 00:21:07,635 And the soybean market rallied 4,800 hours per contract. 328 00:21:09,945 --> 00:21:15,854 There is a built in advantage to using visual analysis like this because 329 00:21:16,425 --> 00:21:21,584 it cuts to the core of whether smart money's buying or selling again. 330 00:21:22,545 --> 00:21:26,385 General principle is if they're going to be institutions stepping in or 331 00:21:26,385 --> 00:21:33,285 large commercial dominant users or producers that are trying to buy a lot 332 00:21:33,285 --> 00:21:35,355 or sell a lot of a specific commodity. 333 00:21:36,345 --> 00:21:38,805 They're going to leave telltale signs in price. 334 00:21:38,925 --> 00:21:40,605 They have to, they can't hide it. 335 00:21:40,665 --> 00:21:43,635 Their sheer volume is going to create this crack. 336 00:21:44,055 --> 00:21:47,745 Well, when we see this occurring, we know there's a massive accumulation 337 00:21:47,745 --> 00:21:49,095 going on in the green complex. 338 00:21:49,545 --> 00:21:54,255 Now all three corn soybeans and wheat can go up in tandem. 339 00:21:54,255 --> 00:21:55,245 There's going to be a sympathy. 340 00:21:55,245 --> 00:21:57,435 Play soybeans rallied significant. 341 00:21:57,675 --> 00:22:00,855 That's nothing wrong with seeing a $4,000 per contract move. 342 00:22:01,035 --> 00:22:03,405 If you were long in that, I would be mad about that. 343 00:22:03,855 --> 00:22:04,155 Nobody. 344 00:22:05,159 --> 00:22:11,399 But our job as an analyst and a developing professional trader, we want to see 345 00:22:12,090 --> 00:22:18,750 the characteristics that lead to us, finding the strongest of the specific 346 00:22:18,750 --> 00:22:21,629 commodity markets in a specific sector. 347 00:22:22,020 --> 00:22:26,639 That way we ended up with a portfolio of the strongest or the weak. 348 00:22:27,810 --> 00:22:28,949 At that given time. 349 00:22:29,639 --> 00:22:34,590 And here in this example, we can clearly see that the concepts fared 350 00:22:34,590 --> 00:22:39,870 it out the larger of the two and that being wheat producing a $6,500 per 351 00:22:39,870 --> 00:22:45,510 contract, move over again, a $4,800 move seen in the soybean market. 352 00:22:50,110 --> 00:22:52,479 And here's those two respective charts and stuff. 353 00:22:55,304 --> 00:23:02,235 Can you see soybeans on the left, making a lower low in June going into the last 354 00:23:02,235 --> 00:23:07,065 week of June going into the beginning of July and then wheat had already 355 00:23:07,065 --> 00:23:11,205 been making higher lows and starting to build up institutional order flow 356 00:23:11,235 --> 00:23:15,915 all down closed candles are supporting price in a bullish or block nature. 357 00:23:16,785 --> 00:23:20,504 And short-term highs were starting to break before the short-term highs 358 00:23:20,504 --> 00:23:22,004 were seen in the soybean market. 359 00:23:22,995 --> 00:23:28,215 So a lot of accumulation can be seen in this chart than that, of the one 360 00:23:28,215 --> 00:23:29,475 on the left, which is the soybeans. 361 00:23:29,745 --> 00:23:34,155 So we was under a massive amount of accumulation and you can see that 362 00:23:34,155 --> 00:23:41,685 visually at the lows also noticed that during the month of may, we had 363 00:23:41,685 --> 00:23:45,285 a massive decline in open interest while we was in a consolidate. 364 00:23:46,534 --> 00:23:50,375 Then in June, we saw another massive reduction in open 365 00:23:50,375 --> 00:23:52,925 interest on two scales on wheat. 366 00:23:53,465 --> 00:23:58,895 And then finally, when the bottom fell out on the open interest of wheat going 367 00:23:58,895 --> 00:24:04,445 into the last week of June, June going into July, that's all that was necessary. 368 00:24:04,685 --> 00:24:08,824 Price traded down into a bullish, shorter block on a daily for wheat, 369 00:24:08,824 --> 00:24:11,405 and then exploded and made another. 370 00:24:13,395 --> 00:24:19,495 $1 move or 5,000 per, uh, per contract for that, that mood is low. 371 00:24:19,495 --> 00:24:23,205 It took only 1, 2, 3, 4, 5 of a week. 372 00:24:23,295 --> 00:24:27,255 That a week it's worth the time to being $5,000 per contract, who 373 00:24:27,255 --> 00:24:28,575 is going to be arguing about that? 374 00:24:28,635 --> 00:24:29,865 No, I don't want $5,000. 375 00:24:29,865 --> 00:24:31,275 Don't don't you dare give me that. 376 00:24:39,045 --> 00:24:43,125 Now the process in simple terms is as follows what we're going to be dealing. 377 00:24:43,125 --> 00:24:47,024 Is it going to be searching headlines for commodities, any headline 378 00:24:47,024 --> 00:24:48,524 that would spark an interest? 379 00:24:48,975 --> 00:24:54,735 Uh, something like, um, uh, the grains are in trouble because it's going 380 00:24:54,735 --> 00:24:56,805 to be dry or there's too much rain. 381 00:24:57,495 --> 00:25:04,905 Um, things of that nature of shortage of, um, oil production, OPEC cuts 382 00:25:04,905 --> 00:25:06,855 back or production, or there's. 383 00:25:08,025 --> 00:25:10,395 Yeah, something's coming aluminum in the middle east. 384 00:25:10,425 --> 00:25:12,015 Well, that's going to effect oil prices. 385 00:25:12,885 --> 00:25:15,675 And the next thing is his roommate looking for Marcus to have premium. 386 00:25:16,125 --> 00:25:20,025 Again, we don't need to have a market premium, but if it does, we're focusing 387 00:25:20,025 --> 00:25:26,655 primarily more on those particular markets than that of a market that doesn't have 388 00:25:26,655 --> 00:25:29,805 a premium and we're gonna be conferring. 389 00:25:29,805 --> 00:25:33,345 What the dollar index for direction, again, dollar up commodities 390 00:25:33,345 --> 00:25:35,715 down dollar down commodities. 391 00:25:38,064 --> 00:25:42,504 And we're gonna use relative strengths in each sector comparing 392 00:25:42,955 --> 00:25:44,425 Lowe's when we're bullish. 393 00:25:44,995 --> 00:25:48,145 And we're looking for the one that fails, like a lower load to be a buyer. 394 00:25:48,715 --> 00:25:52,195 And we're going to be looking at highs when we're bearish and we're 395 00:25:52,195 --> 00:25:56,725 gonna be looking for a failure swing or a marketed fails to make 396 00:25:56,725 --> 00:25:58,435 a higher high when it's bearish. 397 00:25:58,495 --> 00:26:02,695 And you can see heavy distribution in that we're going to 398 00:26:02,695 --> 00:26:04,495 filter each leader from eats. 399 00:26:06,475 --> 00:26:09,205 And we're going to try to follow one leader from each sector, 400 00:26:10,645 --> 00:26:14,004 and we're going to use option prices for paper trading also. 401 00:26:14,004 --> 00:26:18,595 So if you think there's going to be higher prices or lower prices, a new way you 402 00:26:18,595 --> 00:26:21,504 practice it is go into the options chain. 403 00:26:22,075 --> 00:26:24,565 And we'll talk about that in August as well in great detail. 404 00:26:25,875 --> 00:26:30,254 It will help you find opportunities where even with folks that have very 405 00:26:30,254 --> 00:26:32,895 small trading accounts, you can buy. 406 00:26:32,985 --> 00:26:37,935 If you're bullish on commodities as a whole, you can buy call options in just 407 00:26:37,935 --> 00:26:41,504 about every one of the major sectors and not spend a whole lot of money. 408 00:26:41,655 --> 00:26:42,915 And you have controlled risk. 409 00:26:43,155 --> 00:26:46,574 It's limited to what you paid for the option premium. 410 00:26:46,635 --> 00:26:48,104 Plus the commission. 411 00:26:50,980 --> 00:26:56,290 Now, this is obviously a very basic and very simplified overview that will be 412 00:26:56,290 --> 00:27:00,580 refined in detail in August and the PDF files for commodity top-down analysis. 413 00:27:01,060 --> 00:27:03,550 I say it to you here, because I want you to think like this, 414 00:27:03,550 --> 00:27:04,959 build this mindset going in. 415 00:27:05,350 --> 00:27:08,740 Because when we start talking about those lessons in August, at least you 416 00:27:08,740 --> 00:27:13,990 knew a general theme or process that we work off of that there's other portions 417 00:27:13,990 --> 00:27:15,750 and gaps that's intentionally left. 418 00:27:17,170 --> 00:27:20,650 To be filled in when we get into the PDF files for August 419 00:27:25,870 --> 00:27:26,890 the commodity basket. 420 00:27:27,070 --> 00:27:32,230 Now, now every commodity sector will perform well and not every selected 421 00:27:32,230 --> 00:27:34,480 leader will perform or outperform. 422 00:27:35,880 --> 00:27:39,750 So due to the lack of perfection, unfortunately, I can't bridge our 423 00:27:39,750 --> 00:27:43,170 diversified approach in all the sectors will in theory, increase 424 00:27:43,170 --> 00:27:46,800 the odds of capturing a major trade in one or more sectors. 425 00:27:47,610 --> 00:27:51,300 Now, the magnitude and energy seen in the winners will many 426 00:27:51,300 --> 00:27:52,950 times cover the collateral damage. 427 00:27:52,980 --> 00:27:55,290 The under-performance will generate post trade. 428 00:27:57,120 --> 00:28:02,640 Now let's assume for a moment you've done the analysis and you've come to a. 429 00:28:03,915 --> 00:28:07,065 That you think is going to outperform all the others in that specific sector 430 00:28:07,065 --> 00:28:08,985 for all the other sectors combined. 431 00:28:09,225 --> 00:28:14,355 So, you know, you have a list of specific commodities, what to do well, 432 00:28:15,045 --> 00:28:19,575 the leaders, you can actually start comparing them as well and see which of 433 00:28:19,605 --> 00:28:21,555 those have much more relative strength. 434 00:28:22,275 --> 00:28:27,315 For instance, if we're bullish, we've gone through all the, uh, agricultural 435 00:28:27,315 --> 00:28:30,915 sectors and we've gone through all the financial sectors and we come to. 436 00:28:31,950 --> 00:28:33,870 Bye list and we're bullish. 437 00:28:34,470 --> 00:28:38,400 Um, we have our leaders on the upside that we think is going to go up, but now 438 00:28:38,400 --> 00:28:44,640 we can start looking at those respective leaders on a comparative basis and see 439 00:28:44,640 --> 00:28:49,110 if we're bullish, which one of those commodities are starting to break highs 440 00:28:49,470 --> 00:28:53,550 earlier than the others, because that means you can really see professional 441 00:28:53,550 --> 00:28:58,710 buying earlier than just the diversions at the lows that you compared with. 442 00:28:58,710 --> 00:29:00,450 The second. 443 00:29:01,410 --> 00:29:03,600 Members of each respective sector. 444 00:29:03,600 --> 00:29:07,830 In other words, if we're looking at the green market and we fared it out, say 445 00:29:07,830 --> 00:29:12,060 the soybean market happened to be the one that failed to make a lower, low and corn. 446 00:29:12,060 --> 00:29:12,450 And. 447 00:29:13,290 --> 00:29:17,190 We were unsure or unclear about what they wanted to do. 448 00:29:17,490 --> 00:29:20,970 And it's clear that soybeans was under accumulation. 449 00:29:21,240 --> 00:29:21,810 Okay, fine. 450 00:29:21,810 --> 00:29:25,950 We have soybeans out of that complex and say we did the same thing for the meats. 451 00:29:26,160 --> 00:29:26,430 Okay. 452 00:29:26,430 --> 00:29:29,010 Or livestock, and say that it was lean hogs. 453 00:29:29,280 --> 00:29:31,860 That was the upside outperformer that we expect to see. 454 00:29:32,490 --> 00:29:38,970 We can look at the highs in relative terms in the soybean market and in the, the 455 00:29:38,970 --> 00:29:41,700 hog market and see which one of those. 456 00:29:42,555 --> 00:29:46,754 Commodities, which one was breaking out above short-term highs or 457 00:29:46,754 --> 00:29:51,405 breaking highs, or basically bearish quarter blocks before the other. 458 00:29:52,004 --> 00:29:56,355 And which one is seeing much more support at down candles or bull 459 00:29:56,375 --> 00:30:03,165 shorter blocks, basically having the strongest of the strongest. 460 00:30:03,375 --> 00:30:03,705 Okay. 461 00:30:03,735 --> 00:30:06,735 Basically whittling it down even further, because that way, if you're 462 00:30:06,735 --> 00:30:10,695 going to have a commodity basket, you can start allocating more of your. 463 00:30:11,760 --> 00:30:12,270 Okay. 464 00:30:12,480 --> 00:30:16,830 Or if you're gonna be doing options, you can be buying more options in 465 00:30:16,830 --> 00:30:22,050 the strongest in your leader list and still participate in the, in all the 466 00:30:22,050 --> 00:30:26,130 sectors, but allocate more of your money to the strongest of the strong. 467 00:30:26,220 --> 00:30:29,250 In other words, it'd be in that with say eight different leaders. 468 00:30:29,970 --> 00:30:31,830 We don't want an evenly distributed. 469 00:30:32,610 --> 00:30:34,170 Allocation of money. 470 00:30:34,470 --> 00:30:39,060 We want to do more analysis and find out which of these eight are in fact even 471 00:30:39,060 --> 00:30:41,820 stronger than their respective peers. 472 00:30:42,060 --> 00:30:46,710 So that eight could be finally, you brought down to three 473 00:30:46,710 --> 00:30:48,300 that are really outperforming. 474 00:30:48,330 --> 00:30:55,110 So say the 50% of your investment capital goes into those three and 475 00:30:55,110 --> 00:30:58,770 the remaining portion that you was going to allocate to this idea. 476 00:31:00,284 --> 00:31:03,014 Then you would use that with the remaining sectors and spread that out. 477 00:31:03,014 --> 00:31:06,615 So that way you're, you're focusing a lot more allocation in the 478 00:31:06,615 --> 00:31:10,844 ones that are showing leadership characteristics, but you're also 479 00:31:10,875 --> 00:31:14,655 still participating in a diversified manner and all the other sectors. 480 00:31:14,655 --> 00:31:19,245 So you have one green, you have one, uh, livestock, you have one metal, 481 00:31:19,395 --> 00:31:21,074 you have one energy commodity. 482 00:31:21,074 --> 00:31:27,915 You have one, uh, Or like coffee or cocoa, one of those from that sector. 483 00:31:28,035 --> 00:31:29,925 So you have a dabbling okay. 484 00:31:30,254 --> 00:31:33,225 In all of the commodity sectors as a whole, but you're really 485 00:31:33,225 --> 00:31:37,545 allocated heavily in the ones that have been visually shown to show. 486 00:31:38,564 --> 00:31:42,014 Massive accumulation because they're breaking highs and 487 00:31:42,014 --> 00:31:43,034 they're failing to go lower. 488 00:31:43,245 --> 00:31:48,225 So if we see that in comparison to all the other sector leaders that you've 489 00:31:48,225 --> 00:31:52,784 fared it out, it will build up a even stronger likelihood that you're going 490 00:31:52,784 --> 00:32:00,645 to catch her a nigga trade because those outperforming or leadership commodities 491 00:32:00,975 --> 00:32:04,665 that you've done analysis even further on comparatively, you really have. 492 00:32:05,445 --> 00:32:10,905 You know, fine tune it down to a point at which we can see most likely the strongest 493 00:32:10,905 --> 00:32:12,375 price moves for that calendar year. 494 00:32:17,345 --> 00:32:17,705 All right. 495 00:32:17,705 --> 00:32:18,995 The treasure seeker mindset. 496 00:32:19,775 --> 00:32:24,515 Now some of you might feel perhaps this is a lot of work to find a market move, 497 00:32:25,205 --> 00:32:29,315 or maybe it might seem boring to sift through charts for generic conditions. 498 00:32:30,870 --> 00:32:34,440 From my first day, looking at the annual big movers and listening to 499 00:32:34,440 --> 00:32:36,810 the Larry Williams about 20,000 times. 500 00:32:36,840 --> 00:32:37,220 Okay. 501 00:32:37,290 --> 00:32:40,379 Playing his VHS cassette course over and over again. 502 00:32:40,860 --> 00:32:45,270 Um, I could hear him say that, you know, he loves going through charts. 503 00:32:45,270 --> 00:32:45,810 He loves it. 504 00:32:45,810 --> 00:32:46,530 He loves million. 505 00:32:47,100 --> 00:32:51,060 And I'm not sure if I was just being programmed or prying because I looked 506 00:32:51,060 --> 00:32:52,440 up to him and I heard him say that. 507 00:32:52,889 --> 00:32:55,440 But either way I can tell you, I still. 508 00:32:56,429 --> 00:33:00,330 I love, matter of fact, I love doing the analysis and going through 509 00:33:00,330 --> 00:33:01,649 and finding these types of things. 510 00:33:02,129 --> 00:33:03,360 And I'm addicted to that. 511 00:33:03,360 --> 00:33:07,350 It's to me, you know, since the very first day I've likened it to treasure 512 00:33:07,679 --> 00:33:10,649 hunting, it's like a treasure that hidden that, you know, I have to 513 00:33:10,649 --> 00:33:13,679 personally go into the charts and find, and like most, anything else. 514 00:33:13,679 --> 00:33:15,870 If you turn it into a game, it makes it fun. 515 00:33:17,504 --> 00:33:19,845 Every new calendar year presents a new treasure hunt. 516 00:33:20,925 --> 00:33:24,225 One of the things that helps keeps me motivated is because I have 517 00:33:24,225 --> 00:33:29,264 this mindset that I look at the markets as that particular analogy, 518 00:33:29,504 --> 00:33:34,695 like it's a treasure hunt, it's a, it's a game it's hide and seek. 519 00:33:34,905 --> 00:33:37,065 They are hiding something from me. 520 00:33:37,155 --> 00:33:40,695 So therefore I'm going to do my best to find out what it is they're hiding. 521 00:33:40,935 --> 00:33:41,685 And I need to find it. 522 00:33:42,540 --> 00:33:45,780 Find them being them being the smart money. 523 00:33:46,050 --> 00:33:47,189 I need to see what they're doing. 524 00:33:47,189 --> 00:33:48,270 I need to be a tracker. 525 00:33:48,540 --> 00:33:52,229 You know, I need to be following their footprints and I needed to be a sniper. 526 00:33:52,229 --> 00:33:53,520 I need to be stalking them. 527 00:33:53,969 --> 00:33:55,409 You know, I need to be a fishermen. 528 00:33:56,189 --> 00:33:59,879 I need to cast a line in the area where I think they're going to be, you know, 529 00:33:59,939 --> 00:34:01,770 biting and then maybe catch up on. 530 00:34:03,180 --> 00:34:06,180 All those analogies are the same way, whatever it takes 531 00:34:06,180 --> 00:34:10,320 for you to find enjoyment out of this, that's what it needs. 532 00:34:10,409 --> 00:34:11,429 That's what needs to happen. 533 00:34:11,850 --> 00:34:14,700 If you look at it as a daunting task, or if you like, this is a lot 534 00:34:14,700 --> 00:34:17,700 of work and even I don't want to, I don't even want to trade commodities. 535 00:34:18,240 --> 00:34:21,659 If you think that, then you're going to hit a plateau in your 536 00:34:21,659 --> 00:34:22,889 understanding and your analysis. 537 00:34:22,950 --> 00:34:26,220 Even if you don't agree with me now, trust. 538 00:34:27,375 --> 00:34:31,755 You'll want to come back to this whole month content because it's going to lend 539 00:34:31,755 --> 00:34:35,205 well to your overall analysis because you want to be finding these big moves. 540 00:34:35,895 --> 00:34:37,665 It's one thing to be a position trader. 541 00:34:37,995 --> 00:34:38,475 Okay. 542 00:34:39,345 --> 00:34:43,845 But if you can find big moves, that's going to happen in 543 00:34:43,845 --> 00:34:45,975 magnitude and in short order. 544 00:34:45,975 --> 00:34:47,535 And now it's real quick, fast moves. 545 00:34:48,525 --> 00:34:50,535 Not that they complete real quick. 546 00:34:51,614 --> 00:34:53,264 That has covered a lot of ground fast. 547 00:34:53,685 --> 00:34:56,085 That's what these mega trades look like. 548 00:34:56,534 --> 00:34:59,265 And I'm purposely avoiding a lot of examples because I'm going to 549 00:34:59,265 --> 00:35:03,884 have a live session with you, you know, in the beginning of the week, 550 00:35:03,884 --> 00:35:06,674 or I'm going to give you homework to look for specific things. 551 00:35:06,674 --> 00:35:13,185 And if I've wasted the exercise here in the teaching, it, I see. 552 00:35:14,025 --> 00:35:18,585 And Rob you of the opportunity of learning by you, going into the charts yourself. 553 00:35:18,765 --> 00:35:21,435 So I'm going to give you some insights at the beginning of the week to 554 00:35:21,435 --> 00:35:24,255 look for something and then we'll go over it and reveal it again. 555 00:35:28,384 --> 00:35:31,625 So your homework for now, because there's going to be two homework assignments, 556 00:35:31,654 --> 00:35:33,995 one because of this recordings lesson. 557 00:35:34,654 --> 00:35:40,745 And then on Tuesday, I'll give you another homework due for Thursday's recap. 558 00:35:42,945 --> 00:35:44,925 Your homework is with the benefit of hindsight. 559 00:35:45,495 --> 00:35:46,545 I would like for you. 560 00:35:46,875 --> 00:35:51,555 And I'm encouraging you to look at 2016, study the big movers in 561 00:35:51,555 --> 00:35:54,135 the commodity markets in 2016. 562 00:35:55,755 --> 00:36:01,015 See if you can see these things that's being described in this lesson, we're 563 00:36:01,015 --> 00:36:05,055 going to be revealing 2000 sixteens, examples, this coming Friday, and 564 00:36:05,055 --> 00:36:08,485 I'm going to teach you how to go back and look at previous data and old 565 00:36:08,485 --> 00:36:09,985 charts to pull up the information. 566 00:36:11,325 --> 00:36:12,915 Some of, you may not know that, do that now. 567 00:36:12,975 --> 00:36:13,635 That's okay. 568 00:36:13,845 --> 00:36:15,105 Just look at a weekly chart. 569 00:36:15,795 --> 00:36:16,035 Okay. 570 00:36:16,065 --> 00:36:20,385 Go through all the commodities that's been outlined here, and I purposely 571 00:36:20,385 --> 00:36:27,435 kept the commodities that are currencies and interest rate out because there 572 00:36:27,435 --> 00:36:33,855 are going to be respective lessons in this month as well, but we're going 573 00:36:33,855 --> 00:36:35,775 to go through a live webinar or. 574 00:36:36,705 --> 00:36:39,165 This coming Friday, we're actually going to go through 575 00:36:39,165 --> 00:36:42,165 all of the big movers from 2016. 576 00:36:42,735 --> 00:36:48,105 But until then, I want you to go through and find out as much as you can by way of 577 00:36:48,134 --> 00:36:53,805 price action, which movers took place last year, couple it with the dollar index. 578 00:36:54,225 --> 00:36:54,495 Okay. 579 00:36:54,495 --> 00:36:58,154 Whatever insights you can glean from hindsight with the dollar, whether 580 00:36:58,154 --> 00:37:01,515 they're going up or down, it's going to be an inverse relationship that 581 00:37:01,515 --> 00:37:02,444 you're going to be looking for. 582 00:37:02,985 --> 00:37:03,255 And then. 583 00:37:05,194 --> 00:37:08,165 Look for each sector's bigger, biggest mover. 584 00:37:08,825 --> 00:37:09,215 Okay. 585 00:37:09,215 --> 00:37:13,235 And see if you don't see these characteristics seen in those respective 586 00:37:13,235 --> 00:37:18,634 sectors, and I want you to not be bored. 587 00:37:18,634 --> 00:37:19,745 I don't want you to think about it. 588 00:37:19,745 --> 00:37:21,455 Like, oh, this is not going to lead to anything. 589 00:37:21,455 --> 00:37:22,415 I'm a Forex trader. 590 00:37:22,835 --> 00:37:25,715 I promise you, it will get you to another. 591 00:37:26,549 --> 00:37:30,270 Level of understanding about what the market's doing, why it's doing 592 00:37:30,270 --> 00:37:33,180 this, because there's also going to be currencies that do these types of things. 593 00:37:33,600 --> 00:37:33,930 Right now. 594 00:37:33,930 --> 00:37:36,569 We're just talking in general terms about commodities as a whole. 595 00:37:37,049 --> 00:37:42,779 I've removed the currencies as it's an individual sector, I've removed the bond 596 00:37:42,779 --> 00:37:44,609 market as its own individual sector. 597 00:37:45,029 --> 00:37:47,819 I've removed the indices as its own individual sector. 598 00:37:48,180 --> 00:37:48,480 Okay. 599 00:37:48,480 --> 00:37:49,649 So when we talk about. 600 00:37:50,460 --> 00:37:56,130 Uh, you know, stocks, that's going to be also a one, that's a lot of information, 601 00:37:56,130 --> 00:38:01,470 but for this particular lesson, I want you to look at all of the big moves that took 602 00:38:01,470 --> 00:38:07,050 place in the year 2016 in the commodities market, go through all the grains, which 603 00:38:07,050 --> 00:38:13,620 are there's three corn, soybean and wheat go through the meats, which is 604 00:38:13,650 --> 00:38:15,540 live cattle, feeder, cattle, and lean. 605 00:38:17,380 --> 00:38:22,600 Look at coffee, cocoa sugar, orange juice, and, uh, cotton. 606 00:38:24,190 --> 00:38:28,150 And look at gold and silver. 607 00:38:29,410 --> 00:38:36,820 Look at heating oil, crude oil, and see if you don't find nice big moose that 608 00:38:36,820 --> 00:38:41,500 are very clearly shown by professional accumulation or professional distribution. 609 00:38:42,300 --> 00:38:43,530 By way of price action. 610 00:38:43,710 --> 00:38:45,780 And you simply using the dollar index. 611 00:38:46,080 --> 00:38:50,460 Now, again, we're going to build on this in August when I give you a step-by-step 612 00:38:50,460 --> 00:38:54,960 procedure, where you go through each thing to look at, and if it doesn't have 613 00:38:54,960 --> 00:38:58,740 any information, you're going to wait for more information, or it may take you 614 00:38:58,740 --> 00:39:03,570 to go back to the previous stage and you wait, and you're gonna find that there is 615 00:39:03,570 --> 00:39:06,800 a methodical approach to doing all this stuff where it seems fragmented, right? 616 00:39:07,904 --> 00:39:12,825 That's okay, because I'm, I'm leaving things for your discovery that you'll 617 00:39:12,825 --> 00:39:17,745 find in your actual exercises and like this homework while you're going 618 00:39:17,745 --> 00:39:21,555 through and looking at it, invariably, some of you are going to not come away 619 00:39:21,555 --> 00:39:23,444 with anything fruitful and that's okay. 620 00:39:23,475 --> 00:39:25,755 Because when we do the live session and I break it down, 621 00:39:25,755 --> 00:39:26,805 you'll be like, okay, I got it. 622 00:39:27,075 --> 00:39:31,005 Some of you will be pleased to see that you see the same thing that I'm 623 00:39:31,005 --> 00:39:33,255 going to pull out in our live session. 624 00:39:33,990 --> 00:39:38,820 And that will be a, another milestone for your confidence and your, and your growth. 625 00:39:39,900 --> 00:39:44,070 But even if you think you're never going to trade commodities, and that 626 00:39:44,070 --> 00:39:47,520 may be true, and I'm not trying to twist anybody's arm here, uh, the trade 627 00:39:47,550 --> 00:39:52,640 commodities go through this process, go through this procedure because I promise 628 00:39:52,660 --> 00:39:57,210 when you do it, it will build a greater understanding about the market price 629 00:39:57,210 --> 00:39:59,610 action as a whole, and you as a trader. 630 00:40:00,630 --> 00:40:03,060 So get into those treasure maps or. 631 00:40:04,125 --> 00:40:08,355 Price charged as we call them and find these big moves that took place in 2016. 632 00:40:08,565 --> 00:40:11,325 And we'll talk about them in a live session this Friday coming up. 56633

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