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These are the user uploaded subtitles that are being translated: 1 00:00:14,640 --> 00:00:17,160 Welcome to lesson seven folks in the swing trading model. 2 00:00:17,610 --> 00:00:20,190 This teaching's going to be teaching the keys to selecting 3 00:00:20,190 --> 00:00:21,360 markets that will move explosive. 4 00:00:27,700 --> 00:00:30,190 Caitlin cover the hallmarks to explosive swing trades. 5 00:00:31,660 --> 00:00:32,950 And the first in the list of. 6 00:00:34,110 --> 00:00:38,100 Eight things I like to look for that are going to deliver, in my 7 00:00:38,100 --> 00:00:42,240 opinion, the highest probability for explosive price moves, where it's 8 00:00:42,240 --> 00:00:44,190 just dynamically moving one sided. 9 00:00:44,550 --> 00:00:45,840 You want to be in those types of moves. 10 00:00:45,870 --> 00:00:50,220 And obviously as a swing trader, we want to focus on markets that provide these 11 00:00:50,310 --> 00:00:55,080 in terms of the highest probability, what we look for as the market profiles that 12 00:00:55,080 --> 00:00:59,370 show that the major four asset classes that mean the interest rate market. 13 00:01:00,120 --> 00:01:02,640 Stocks, commodities and currencies. 14 00:01:02,760 --> 00:01:04,830 They are all trying to trend. 15 00:01:05,250 --> 00:01:06,960 They're not held in consolidation. 16 00:01:07,200 --> 00:01:08,550 They're not at odds with one another. 17 00:01:08,550 --> 00:01:09,480 They're not conflicting. 18 00:01:09,870 --> 00:01:13,980 And if you get one or two of the asset classes showing willingness to trend, 19 00:01:14,370 --> 00:01:18,270 that gives us a really favorable market condition to trade in for swing trades. 20 00:01:18,660 --> 00:01:20,700 It doesn't matter that all four of them were trending. 21 00:01:21,720 --> 00:01:25,020 We want at least to have a see at least half of the four or two 22 00:01:25,020 --> 00:01:28,860 of them showing a profile where there's trending environments. 23 00:01:32,045 --> 00:01:33,755 Intermarket analysis, confluences. 24 00:01:33,815 --> 00:01:40,115 This is the approach that using all the other asset classes to justify 25 00:01:40,145 --> 00:01:45,155 or confirm the ideas that you have as a trade are in fact in alignment. 26 00:01:45,815 --> 00:01:46,925 So I'll give you an example. 27 00:01:46,925 --> 00:01:47,365 If we think. 28 00:01:48,600 --> 00:01:50,759 There's a bullish dollar underway. 29 00:01:51,119 --> 00:01:56,250 Uh, we should see commodities, therefore at resistance levels across the, uh, the 30 00:01:56,250 --> 00:01:57,960 major sectors in the commodity markets. 31 00:01:58,380 --> 00:02:01,020 Uh, that means that we're also going to see commodities 32 00:02:01,020 --> 00:02:03,119 fail, to make higher highs. 33 00:02:03,119 --> 00:02:06,000 Even if they break out, there'll be false breakouts and we'll see 34 00:02:06,000 --> 00:02:11,280 commodities, uh, very easily breaking their lows or failing to make a rally. 35 00:02:11,549 --> 00:02:11,790 Okay. 36 00:02:11,790 --> 00:02:13,260 All of those conditions would be there. 37 00:02:13,260 --> 00:02:16,010 If we're expecting to see bullish dollar, the opposite would be. 38 00:02:16,675 --> 00:02:19,915 If we're looking for a barest dollar, if the dollar is expected to go lower, 39 00:02:19,915 --> 00:02:23,245 based on our analysis, we will be looking for commodities to have very 40 00:02:23,245 --> 00:02:29,785 little resistance in terms of wanting to go higher and strong support levels. 41 00:02:30,145 --> 00:02:30,445 Okay. 42 00:02:30,445 --> 00:02:34,465 So highs, we're going to be broken on commodities and Lowe's are going 43 00:02:34,465 --> 00:02:38,035 to be supported and very little breakdown on commodities will be seen. 44 00:02:38,395 --> 00:02:41,755 That would be an idea that would support the idea of a bear scholar. 45 00:02:42,695 --> 00:02:46,545 Same thing would be said with, uh, you know, Once we arrive at 46 00:02:46,545 --> 00:02:48,195 that condition for the dollar. 47 00:02:48,465 --> 00:02:52,545 If we're expecting dollars to be bullish, we would be looking for bear scenarios 48 00:02:52,845 --> 00:02:57,315 where like Euro dollar Aussie dollar pound dollar, New Zealand dollar, 49 00:02:57,915 --> 00:03:00,105 uh, those pairs would be at resist. 50 00:03:00,880 --> 00:03:01,210 Okay. 51 00:03:01,240 --> 00:03:05,080 And they would be breaking lows and have difficulty making higher highs, 52 00:03:05,080 --> 00:03:08,200 or if they make higher highs, they're false breakouts and they trade lower. 53 00:03:08,500 --> 00:03:10,360 That would be supportive of Bush dollar. 54 00:03:10,840 --> 00:03:13,720 Or the reverse would be said for a dollar that we would bearish. 55 00:03:13,720 --> 00:03:17,890 And then it means that we'd be seeing your a dollar pound dollar, New Zealand dollar, 56 00:03:17,890 --> 00:03:20,380 all the dollar, those pairs at support. 57 00:03:20,770 --> 00:03:24,910 And they would not be willing to make lower lows, or if they do they're quickly 58 00:03:24,910 --> 00:03:29,170 rejected and highs in those foreign currencies would be easily traded. 59 00:03:29,895 --> 00:03:30,135 Okay. 60 00:03:30,135 --> 00:03:33,255 And that would also support the idea that weak dollar third on our list 61 00:03:33,255 --> 00:03:35,505 is the cot hedging program alignment. 62 00:03:36,275 --> 00:03:39,945 This is where we look back in the last 12 months on the net positions 63 00:03:39,945 --> 00:03:41,205 held by the commercial traders. 64 00:03:41,685 --> 00:03:46,305 And then we get a range over the last 12 months with the highest level was 65 00:03:46,305 --> 00:03:50,415 in the lowest level for their holdings, regardless of their net short and long. 66 00:03:50,775 --> 00:03:53,235 And whatever that range is, we divide that in half. 67 00:03:53,235 --> 00:03:55,485 And then we define that in terms of being bullish or bearish. 68 00:03:56,475 --> 00:03:58,275 If we are supporting the idea that. 69 00:03:58,920 --> 00:04:01,380 Foreign currencies are going to go higher and therefore the 70 00:04:01,380 --> 00:04:02,820 dollar index is going lower. 71 00:04:03,180 --> 00:04:07,980 Uh, we would probably see the cot hedging program show bullishness for like 72 00:04:08,070 --> 00:04:11,130 Euro dollar cable, um, Aussie dollar. 73 00:04:11,430 --> 00:04:15,990 And the more you see the commercials holding net long positions in their 74 00:04:15,990 --> 00:04:19,980 hedges or their hedging program, the more likelihood you're going to have 75 00:04:19,980 --> 00:04:24,390 an explosive move in your favor with a bullish foreign currency idea in a weaker. 76 00:04:25,560 --> 00:04:30,150 And the reverse would be said in terms of when you're looking for stronger dollar, 77 00:04:30,869 --> 00:04:36,030 you would expect to see the bearish stance in the hedging done by the commercial. 78 00:04:36,030 --> 00:04:38,700 And I'll show you examples that that would make this. 79 00:04:40,705 --> 00:04:41,515 And an open interest. 80 00:04:41,515 --> 00:04:44,995 We look at that because all of the parents, I trade are 81 00:04:45,025 --> 00:04:46,735 the majors and they're calm. 82 00:04:46,795 --> 00:04:48,325 They're calm down to commodity dollars. 83 00:04:48,835 --> 00:04:52,165 So I can get the insight gleaned from commitment of traders 84 00:04:52,225 --> 00:04:55,915 and the open interest that cannot be seen in spot market. 85 00:04:56,725 --> 00:04:59,125 So if we look at the open interest, we can actually track the smart 86 00:04:59,125 --> 00:05:01,195 money movement of buying and selling. 87 00:05:01,195 --> 00:05:05,455 And I'll kind of go over that again, in this teaching and seasonal tendency. 88 00:05:06,570 --> 00:05:10,740 We can see that there's times when there's a very good probability 89 00:05:10,740 --> 00:05:14,190 for markets to want to trade higher or lower based on seasonality. 90 00:05:14,550 --> 00:05:18,780 And if you can have that in alignment with your trade idea, it obviously 91 00:05:18,780 --> 00:05:21,480 pushes the probabilities for an explosive move in your favor. 92 00:05:23,770 --> 00:05:26,110 And we now talk about volatility filters. 93 00:05:26,260 --> 00:05:26,440 Okay. 94 00:05:26,440 --> 00:05:31,000 Now volatility filter is a way of gauging when the market gets quiet. 95 00:05:31,360 --> 00:05:31,690 Okay. 96 00:05:31,690 --> 00:05:33,970 And, or there's a contraction in the range of. 97 00:05:34,950 --> 00:05:38,910 If this is seen, what you're seeing is the market going into contraction right 98 00:05:38,910 --> 00:05:40,980 before a big explosive type of move. 99 00:05:41,550 --> 00:05:45,780 That is a hallmark that spells wild profitability. 100 00:05:46,170 --> 00:05:47,400 If you get the direction, right. 101 00:05:47,790 --> 00:05:48,060 Okay. 102 00:05:48,060 --> 00:05:49,950 It doesn't mean that you know that direction because the 103 00:05:49,950 --> 00:05:51,300 markets are going in small ranges. 104 00:05:51,810 --> 00:05:54,990 It just means that you're going to see another big explosive move. 105 00:05:54,990 --> 00:05:55,800 And if you have the direction. 106 00:05:56,730 --> 00:06:00,060 Many times you're gonna see that Xplosive moot takes off in a direction you 107 00:06:00,060 --> 00:06:04,380 anticipated based on your major market ideas, you're in your market analysis. 108 00:06:04,440 --> 00:06:07,440 And with the hedging programs, suggest by the commercials, are they buying? 109 00:06:07,440 --> 00:06:09,240 Are they selling and open interest? 110 00:06:09,240 --> 00:06:10,050 Are we tracking smart? 111 00:06:10,050 --> 00:06:12,630 Money's buying and selling in relationship to those ideas. 112 00:06:13,770 --> 00:06:17,730 If that occurs at the same time, there's seasonal tendency for it to rally higher. 113 00:06:18,030 --> 00:06:21,570 And about until he starts to squeeze into small little ranges, there's 114 00:06:21,570 --> 00:06:24,060 going to be a high probability that moves are going to be explosive to the. 115 00:06:27,420 --> 00:06:28,650 Major news headlines. 116 00:06:28,650 --> 00:06:32,610 I like this one because if we have a condition staged and we think that 117 00:06:32,610 --> 00:06:36,420 the market's going to go higher based on our major market analysis markets 118 00:06:36,480 --> 00:06:41,969 as a whole on the four categories or, uh, asset classes, stocks, interest 119 00:06:41,969 --> 00:06:43,740 rates, commodities, and currencies. 120 00:06:44,159 --> 00:06:47,700 If two of the four groups are in trending environments, because one 121 00:06:47,700 --> 00:06:49,320 can always be held in consolidation. 122 00:06:49,890 --> 00:06:50,940 Uh, not really trending. 123 00:06:51,330 --> 00:06:56,835 Uh, if we see at least half of the four major asset classes, At least we are in 124 00:06:56,835 --> 00:06:59,475 a good swing trading model environment. 125 00:07:00,195 --> 00:07:04,005 If that happens and we are bullish on an environment or a particular 126 00:07:04,005 --> 00:07:08,955 market and a news event comes out and starts jawboning and weak it's weak. 127 00:07:08,985 --> 00:07:12,165 It's not, it's not as bullish or something's wrong with that idea. 128 00:07:12,405 --> 00:07:13,905 Don't expect it to go higher. 129 00:07:14,205 --> 00:07:16,935 Anything a talking head would have in their headline. 130 00:07:17,775 --> 00:07:20,295 That to me is fuel on the fire if I'm bullish. 131 00:07:20,414 --> 00:07:24,105 So if I see there's headlines at a time when I want to be a buyer, 132 00:07:24,465 --> 00:07:29,115 that to me helps my trade many times to be explosive in nature. 133 00:07:31,275 --> 00:07:35,565 And lastly, in our list market sentiment, and all I do is gauge the bullishness 134 00:07:35,565 --> 00:07:40,455 or bearishness based on the retail universe is a use of indicators. 135 00:07:42,870 --> 00:07:46,560 Okay, let's take a closer look in, in discussion about major market 136 00:07:46,560 --> 00:07:49,980 analysis and being one-sided and this being a trending profile. 137 00:07:51,300 --> 00:07:55,650 If we look at the currencies stocks, commodities, and interest 138 00:07:55,650 --> 00:07:57,930 rates, those four asset classes. 139 00:07:58,995 --> 00:08:01,485 We use those for our intermarket analysis. 140 00:08:01,575 --> 00:08:05,505 But before we get into our intermarket analysis, we have to look at, 141 00:08:05,505 --> 00:08:08,775 are those markets now trending or are they held in consolidation? 142 00:08:09,165 --> 00:08:12,525 Again, we're looking for at least two of the categories to be true. 143 00:08:13,455 --> 00:08:17,475 And if they are trending, that means that the other two Navy just lagging 144 00:08:17,475 --> 00:08:20,145 and they're going to eventually go into a training environment to preferably 145 00:08:20,145 --> 00:08:23,145 all four of them should be trending, but there's not going to be times 146 00:08:23,145 --> 00:08:24,375 where it's going to be like that. 147 00:08:24,385 --> 00:08:27,915 You have to demand at least just two of the major categories to 148 00:08:27,915 --> 00:08:28,935 be in a trending environment. 149 00:08:28,935 --> 00:08:33,855 If that's the case, then we're going to see a swing traders environment unfold 150 00:08:33,855 --> 00:08:37,034 in the markets that you've whittled down through a top-down analysis. 151 00:08:37,960 --> 00:08:40,720 Through the things we're going to talk about here and then actual process 152 00:08:40,870 --> 00:08:44,600 in lesson eight, it'll give you the framework and it'll give you the, 153 00:08:44,650 --> 00:08:48,490 uh, the hallmarks that look for to frame out high probability trades 154 00:08:48,490 --> 00:08:50,410 with explosive nature in price action. 155 00:08:52,030 --> 00:08:57,850 If we see a market asset class, like, uh, the commodity market being in 156 00:08:57,850 --> 00:09:02,080 consolidation, if that's the case, then stocks should be trending. 157 00:09:02,800 --> 00:09:03,070 Okay. 158 00:09:03,070 --> 00:09:03,850 Or vice versa. 159 00:09:04,090 --> 00:09:06,370 If stocks are in consolidation, then commodities should be. 160 00:09:07,635 --> 00:09:09,405 Interest rates and currencies. 161 00:09:09,435 --> 00:09:11,655 One of those two should be trending as well. 162 00:09:12,045 --> 00:09:12,345 Okay. 163 00:09:12,345 --> 00:09:16,095 So if we're going to divide it in the end, the two special, special 164 00:09:16,095 --> 00:09:20,564 groups you want to group commodities and stocks together, one of those 165 00:09:20,685 --> 00:09:24,735 must be in a trending environment and currencies and interest rates. 166 00:09:24,855 --> 00:09:26,895 One of those two must be in a training environment. 167 00:09:27,735 --> 00:09:28,095 Okay. 168 00:09:28,395 --> 00:09:30,135 So you have to have one of the two. 169 00:09:31,500 --> 00:09:32,640 Being in a training environment. 170 00:09:32,640 --> 00:09:37,469 And that helps really frame the models that the algorithms will use to move price 171 00:09:37,469 --> 00:09:41,219 around, not just in foreign exchange, but in all the other asset classes with the 172 00:09:41,219 --> 00:09:45,780 exception of commodities, which are really focused in, on real supply to me, in fact, 173 00:09:51,045 --> 00:09:51,255 Okay. 174 00:09:51,255 --> 00:09:52,995 Intermarket analysis conferences. 175 00:09:53,625 --> 00:09:53,895 Okay. 176 00:09:54,195 --> 00:09:56,565 We talked about intermarket analysis. 177 00:09:56,565 --> 00:10:00,735 We've already taught how I look at it and what things I look for, but 178 00:10:00,735 --> 00:10:04,455 I want to bring it up as a hallmark here in not leading to death, but you 179 00:10:04,455 --> 00:10:07,875 already know how I look at intermarket analysis because there was a specific 180 00:10:07,875 --> 00:10:09,375 teaching in January about it. 181 00:10:11,415 --> 00:10:12,975 The market as a whole. 182 00:10:13,035 --> 00:10:13,335 Okay. 183 00:10:13,335 --> 00:10:20,055 We look for specific inverse relationships and positively correlated markets to 184 00:10:20,055 --> 00:10:24,405 suggest that if we're bullish on one asset class or that one market in 185 00:10:24,405 --> 00:10:28,725 that asset class, is there supporting ideas through the use of intermarket 186 00:10:28,725 --> 00:10:30,585 analysis to build a confluence? 187 00:10:30,615 --> 00:10:33,615 Is it supported in another asset classes or other markets? 188 00:10:34,365 --> 00:10:34,545 Hmm. 189 00:10:35,385 --> 00:10:40,065 If we're going to be trading Forex, if we're looking for the dollar index 190 00:10:40,065 --> 00:10:46,155 to be bullish, we would look for commodities to be at levels of resistance. 191 00:10:46,665 --> 00:10:46,965 Okay. 192 00:10:46,965 --> 00:10:49,665 Or an ability to, to rally higher. 193 00:10:49,665 --> 00:10:51,735 Or if it does make a higher high, it fails and goes low. 194 00:10:52,979 --> 00:10:56,490 Um, the commodities would be moving lower very easily or 195 00:10:56,490 --> 00:10:59,000 trending lower in that environment when a dollar would be bullshit. 196 00:10:59,010 --> 00:11:01,079 And then obviously it would be said that opposite terms. 197 00:11:01,380 --> 00:11:06,599 If we're looking for a bear's dollar commodities would be easily trading 198 00:11:06,599 --> 00:11:10,650 through their old highs and very stubbornly going below their old lows. 199 00:11:10,680 --> 00:11:16,949 And they would be moving aggressively higher with very little consolidation, 200 00:11:16,979 --> 00:11:19,229 more upside than they do anything else. 201 00:11:19,260 --> 00:11:20,459 And anything below an old low. 202 00:11:21,390 --> 00:11:25,620 When the dollar is weak for commodities, if they take out an old low, many times, 203 00:11:25,620 --> 00:11:28,439 you can expect turtle soup scenarios in that condition and it would rally higher. 204 00:11:28,770 --> 00:11:32,939 So that's, that's what we'd be looking for for intermarket analysis in conferences. 205 00:11:33,329 --> 00:11:39,209 So if we have those ideas seen across many sectors and commodities, not just, uh, 206 00:11:39,240 --> 00:11:41,100 the CRB index that's being indicated here. 207 00:11:41,895 --> 00:11:42,195 Yeah. 208 00:11:42,345 --> 00:11:47,535 Are the grain markets, if we're bullish on the dollar, um, are we seeing soybeans and 209 00:11:47,535 --> 00:11:49,185 wheat and corn fail to make higher highs? 210 00:11:49,185 --> 00:11:51,645 So if they do make higher highs, are they rejecting them quickly? 211 00:11:52,065 --> 00:11:55,005 And are they seeing their lows blown out and are they trending lower? 212 00:11:55,185 --> 00:11:58,485 That's supportive of bullish dollar and the reverse would be seen, you 213 00:11:58,485 --> 00:12:01,545 know, and looking for a weaker. 214 00:12:02,990 --> 00:12:08,569 We would see those commodities making higher highs and very little resistance 215 00:12:08,569 --> 00:12:10,610 at all in strong support levels. 216 00:12:10,640 --> 00:12:13,939 And if Lowe's are taken out and commodities while the dollar's weak 217 00:12:13,939 --> 00:12:18,260 or expected to be weak, those lows and commodities would just be turtle 218 00:12:18,260 --> 00:12:20,810 soup, longs, whether it be a false break below and a low, and then you 219 00:12:20,819 --> 00:12:22,130 see higher prices and commodities. 220 00:12:22,459 --> 00:12:25,819 If you see that you have confirmation that the dollar is in fact strong 221 00:12:25,819 --> 00:12:29,089 or weak relative to those ideas, if the dollar is strong in. 222 00:12:29,895 --> 00:12:33,375 Classifications then we can see there's business in foreign currencies. 223 00:12:33,825 --> 00:12:39,285 And if the dollar is weaker, you know, you pair that up with stronger 224 00:12:39,285 --> 00:12:42,825 foreign currency and it's goes without saying that's how we use the 225 00:12:42,825 --> 00:12:44,535 conferences for intermarket analysis. 226 00:12:44,805 --> 00:12:49,005 So we look for training environments as a whole, either stocks or commodities 227 00:12:49,065 --> 00:12:50,475 have to be in trending environments. 228 00:12:52,195 --> 00:12:52,915 And I'm sorry. 229 00:12:53,425 --> 00:12:59,215 Intermarket analysis suggests that we see the reflection of training environments 230 00:12:59,275 --> 00:13:02,065 in currencies and interest rates as well. 231 00:13:02,065 --> 00:13:04,465 One of those two have to be in a training environment. 232 00:13:04,885 --> 00:13:09,685 So between the two major asset classes, we have to have at least two in a 233 00:13:09,685 --> 00:13:12,205 training environment to support the idea that there's going to be an 234 00:13:12,205 --> 00:13:16,855 explosive high probability swing, trade cot, hedging program alignment. 235 00:13:18,640 --> 00:13:23,410 What we look for in this is the last 12 months of the commitment of traders 236 00:13:23,410 --> 00:13:24,880 report held by the commercials. 237 00:13:25,750 --> 00:13:30,430 The commercials are the largest producers or providers of a commodity, 238 00:13:31,060 --> 00:13:32,590 and they may manufacture it. 239 00:13:32,620 --> 00:13:33,760 They may grow it. 240 00:13:33,790 --> 00:13:39,160 They may offer it in terms of like a currency, like a bank, uh, that's 241 00:13:39,160 --> 00:13:40,360 their commodity, if you will. 242 00:13:40,390 --> 00:13:43,600 So they make it available to they're the storehouse of it. 243 00:13:44,415 --> 00:13:48,315 And I'd like to look back over the last 12 months because hedging is usually done 244 00:13:48,405 --> 00:13:53,055 over a plan using the last 12 months data. 245 00:13:53,385 --> 00:13:55,785 So what was pricing like last 12 months? 246 00:13:56,025 --> 00:14:01,635 What was the commodity price based on real supply and demand factors last March? 247 00:14:02,625 --> 00:14:04,005 What was it last January? 248 00:14:04,005 --> 00:14:05,265 What was it last August? 249 00:14:05,265 --> 00:14:05,595 What was it? 250 00:14:05,595 --> 00:14:07,065 Last December. 251 00:14:07,395 --> 00:14:07,755 Okay. 252 00:14:07,755 --> 00:14:12,060 And by looking at a range of 12 months, It gives them an idea on how they 253 00:14:12,060 --> 00:14:17,069 should hedge pricing because they use the last, last 12 months to frame their 254 00:14:17,069 --> 00:14:21,209 expectation on what may be normal or what would be reasonable to expect 255 00:14:21,569 --> 00:14:22,980 going forward for the next 12 months. 256 00:14:22,980 --> 00:14:27,240 So they use that for hedging because of that many times, 257 00:14:27,240 --> 00:14:32,400 they're going to see long-term net short positions in a commodity. 258 00:14:33,615 --> 00:14:35,745 Through the use of the commitment treasury report. 259 00:14:35,954 --> 00:14:41,415 So by looking at their net position, being heavily net loss and net short, for 260 00:14:41,415 --> 00:14:47,415 instance, if we're looking at a market that has a long term, long net short 261 00:14:47,415 --> 00:14:50,505 position being held by the commercials that would be seen with the red line 262 00:14:50,505 --> 00:14:55,665 here, in this example, you can see from January, 2016, all the way to the present, 263 00:14:56,204 --> 00:14:57,975 they have been below the zero line. 264 00:14:59,265 --> 00:15:04,665 That in itself by standard definitions and by way of, uh, teachings by 265 00:15:04,665 --> 00:15:07,365 Larry Williams, who did the majority of the early work on commitment, 266 00:15:07,365 --> 00:15:08,805 shows, reports being made public. 267 00:15:09,705 --> 00:15:11,415 This would be deemed as bearish. 268 00:15:11,715 --> 00:15:14,535 And this was a frustration for me, and I'm not going to rehash all that 269 00:15:14,535 --> 00:15:15,495 because of the teachings on this. 270 00:15:15,885 --> 00:15:17,925 But I like to look as a hallmark. 271 00:15:17,985 --> 00:15:22,005 I want to see are commercials buying or are they selling in their hedging 272 00:15:22,005 --> 00:15:23,655 program right now, as I'm doing this. 273 00:15:24,449 --> 00:15:25,410 We're about to take the trade. 274 00:15:26,010 --> 00:15:30,240 And what I do is I frame the last 12 months and look at the highest highs 275 00:15:30,240 --> 00:15:33,240 and lowest, low, and divided in half. 276 00:15:33,240 --> 00:15:35,040 And then I have a new zero line. 277 00:15:35,100 --> 00:15:38,880 So I ignore the zero line on the standard net treated physician 278 00:15:38,880 --> 00:15:40,319 chart that everybody has access to. 279 00:15:40,319 --> 00:15:41,939 You can find this on bar chart.com. 280 00:15:42,930 --> 00:15:44,069 The lesson number eight, Oxley. 281 00:15:44,069 --> 00:15:44,699 Do a walk through. 282 00:15:44,699 --> 00:15:46,380 You can actually see me do this whole process. 283 00:15:49,020 --> 00:15:52,140 I define that new range in the last 12 months of the commercial activity. 284 00:15:52,530 --> 00:15:55,920 That's my net short or net long basis. 285 00:15:56,490 --> 00:16:02,100 The 50% mark of that range, January 16, you can see that it's where the highest 286 00:16:02,400 --> 00:16:06,810 portion of their holdings, where that at the time was still underneath the. 287 00:16:07,530 --> 00:16:08,550 Some zero line. 288 00:16:08,880 --> 00:16:12,660 So they would be either neutral or bare slightly in January, 2016. 289 00:16:13,140 --> 00:16:17,460 And then in July of 2016, the red line went as low as it shows there. 290 00:16:17,520 --> 00:16:18,360 And that's the range. 291 00:16:18,930 --> 00:16:24,390 They need to find that by a high level, 11 divided in half, and that's 292 00:16:24,390 --> 00:16:28,440 going to be your new zero level or, but bullish or bearish level. 293 00:16:29,010 --> 00:16:34,440 You can see in December of 2016, we went above that new. 294 00:16:35,355 --> 00:16:39,285 Adjusted or makeshift zero line as I'm indicating here by 295 00:16:39,435 --> 00:16:40,665 looking at their hedging program. 296 00:16:41,025 --> 00:16:44,985 So they were buying again aggressively in December. 297 00:16:45,885 --> 00:16:49,185 So if the, see, if we see this, even though they're below the net sum 298 00:16:49,185 --> 00:16:54,525 zero line from a net trader chart from everyone's perspective in the 299 00:16:54,525 --> 00:16:58,334 retail world, I see that as buying in December, going into January and still 300 00:16:58,334 --> 00:16:59,985 presently now they're they're buying. 301 00:17:01,365 --> 00:17:02,655 So if we see this. 302 00:17:03,810 --> 00:17:07,140 And alignment with the expectation that the market should be going 303 00:17:07,140 --> 00:17:08,190 in a training environment. 304 00:17:08,400 --> 00:17:11,910 And intermarket analysis suggests that the market itself is going to go higher 305 00:17:12,329 --> 00:17:16,350 and other markets that are inversely correlated to it are going to go lower. 306 00:17:16,890 --> 00:17:20,610 Uh, then we have the cot hedging program in alignment stating that yes, the 307 00:17:20,610 --> 00:17:22,020 commercials are in fact, they're buying. 308 00:17:22,110 --> 00:17:25,440 So we can go into our next stage of analysis, looking at open interest. 309 00:17:28,400 --> 00:17:34,100 If we see the market, when conditions were bearish, if this is the environment, you 310 00:17:34,100 --> 00:17:39,050 would see where we're above that zero line and the market's been trending lower end. 311 00:17:39,860 --> 00:17:41,660 We are seeing this. 312 00:17:42,080 --> 00:17:45,710 This would not be supportive of a strong sell. 313 00:17:45,770 --> 00:17:48,560 This would be at odds with that idea. 314 00:17:48,590 --> 00:17:50,870 So you'd have to wait for that red line to go back down below. 315 00:17:51,675 --> 00:17:55,665 That new zero basis line or that heavy, thick black line I've created 316 00:17:55,705 --> 00:17:57,375 separating them green and the red line. 317 00:17:59,995 --> 00:18:00,115 Okay. 318 00:18:00,115 --> 00:18:00,895 Open interest. 319 00:18:01,045 --> 00:18:03,325 We're going to look at the relationship of open interest 320 00:18:03,325 --> 00:18:05,695 because it shows us an x-ray view. 321 00:18:05,695 --> 00:18:08,305 If you will, of what the smart money is doing. 322 00:18:08,485 --> 00:18:09,685 Now, open interest real quick. 323 00:18:09,715 --> 00:18:14,565 If we see a increase or reduction of opening, And that's delineated 324 00:18:14,565 --> 00:18:15,615 by that purple line here. 325 00:18:15,675 --> 00:18:20,265 It's a cumulative line showing the total open interests in any one market. 326 00:18:20,415 --> 00:18:22,605 And it's going to be only shown through a commodity cause that's 327 00:18:22,605 --> 00:18:23,775 where you get this information from. 328 00:18:24,525 --> 00:18:28,215 If open interest declines 10 or 15% or more, that's indicative 329 00:18:28,245 --> 00:18:30,135 of commercial short covering. 330 00:18:30,675 --> 00:18:31,395 If there is a. 331 00:18:32,065 --> 00:18:35,515 Reduction of open interest that shows their willingness to not want 332 00:18:35,515 --> 00:18:39,955 to offer liquidity or expect lower prices because they think that prices 333 00:18:39,955 --> 00:18:41,425 are going to go higher significantly. 334 00:18:41,425 --> 00:18:44,365 Otherwise they would hold onto their open positions. 335 00:18:44,545 --> 00:18:48,175 And they're having that short position it's confirmed when you see 336 00:18:48,175 --> 00:18:50,875 the red line, which has commercials in a net traded physician chart 337 00:18:51,295 --> 00:18:53,395 go higher towards the zero line. 338 00:18:53,755 --> 00:18:55,815 So that's a reduction of. 339 00:18:56,850 --> 00:19:01,290 Open interest and a confirmation that they are reducing their short positions. 340 00:19:02,010 --> 00:19:05,490 Otherwise that red line would be either staying flat or going lower. 341 00:19:05,790 --> 00:19:07,140 It's going up at the same time. 342 00:19:07,140 --> 00:19:11,100 That purple line drops down from November through November into December. 343 00:19:11,100 --> 00:19:14,850 And there was a huge reduction in open interest over 500,000 344 00:19:14,850 --> 00:19:18,120 contracts down to just five to 400. 345 00:19:18,960 --> 00:19:19,170 Okay. 346 00:19:19,170 --> 00:19:22,320 So there are over a hundred thousand contracts taken off that were 347 00:19:22,320 --> 00:19:25,950 short, and you can see that that reduction is seen with that increase 348 00:19:26,040 --> 00:19:27,750 or movement higher in the red line. 349 00:19:27,750 --> 00:19:31,950 But by the commercial traders, this is confirmation that your trade would 350 00:19:31,950 --> 00:19:36,600 be a bullish scenario and explosive price action should be expected. 351 00:19:37,560 --> 00:19:41,660 If we see an increase of open interest, 10 to 15% or more at a time. 352 00:19:42,705 --> 00:19:46,335 The commercials increase their net selling. 353 00:19:46,725 --> 00:19:46,935 Okay. 354 00:19:46,935 --> 00:19:48,014 Or the red line goes lower. 355 00:19:48,315 --> 00:19:49,395 That is bearish 356 00:19:53,754 --> 00:19:57,475 to see the open interest declining here, November going into December 357 00:19:58,405 --> 00:20:02,425 at the same time that red line is increasing in value, which is the. 358 00:20:03,390 --> 00:20:04,710 Reduction of short selling. 359 00:20:05,220 --> 00:20:08,220 So they don't have a heavy net short position on, and at the same 360 00:20:08,220 --> 00:20:09,330 time we interest at the client. 361 00:20:09,390 --> 00:20:12,540 This is bullish because they're not trying to hold onto a heavy, short position. 362 00:20:15,090 --> 00:20:15,240 Okay. 363 00:20:15,240 --> 00:20:16,500 Moving on seasonal tendencies. 364 00:20:16,530 --> 00:20:21,270 We want to find obviously times when we take a swing trade, when the seasonal 365 00:20:21,270 --> 00:20:23,070 tendencies aren't aligned for a movement. 366 00:20:23,100 --> 00:20:27,390 So if we have our major market analysis, suggesting that there's training profiles 367 00:20:27,540 --> 00:20:31,260 in two of the major categories, opening. 368 00:20:32,545 --> 00:20:33,505 Is declined. 369 00:20:33,835 --> 00:20:37,705 We have our hedging program suggesting the commercials aren't buying intermarket 370 00:20:37,705 --> 00:20:40,825 analysis suggests that this market is poised to go higher because other 371 00:20:41,455 --> 00:20:43,555 markets are suggesting the confirmation. 372 00:20:43,555 --> 00:20:44,305 That's the case. 373 00:20:44,785 --> 00:20:48,115 And we see a seasonal tendency for the market to want to rally as 374 00:20:48,445 --> 00:20:52,045 indicated here December into January and growing over to the next year. 375 00:20:52,045 --> 00:20:54,115 You can still see January going into February. 376 00:20:54,445 --> 00:20:57,115 There's a strong tendency still for this market to go higher. 377 00:20:57,805 --> 00:21:00,115 If that's the case, we ha we now have. 378 00:21:01,125 --> 00:21:04,725 Five things in our favor, suggesting there's going to be an explosive price 379 00:21:04,725 --> 00:21:06,825 action in this particular market. 380 00:21:07,395 --> 00:21:10,785 And if we're suggesting it's going to go higher, we know now that there's 381 00:21:10,785 --> 00:21:13,335 a strong degree of probability that it's going to be explosive 382 00:21:13,335 --> 00:21:16,135 price move going higher prices. 383 00:21:16,135 --> 00:21:19,155 Some should move higher, not in small ranges, but it should be explosive. 384 00:21:19,785 --> 00:21:21,705 And it shouldn't be able to thoracic price action move. 385 00:21:24,505 --> 00:21:27,455 Now we're gonna talk about volatility filters and about 386 00:21:27,465 --> 00:21:29,185 tele filter is simply a contract. 387 00:21:30,210 --> 00:21:33,420 Idea where price moves from a large range down to a small range. 388 00:21:34,660 --> 00:21:35,310 It's universal. 389 00:21:35,310 --> 00:21:37,800 It can be applied to monthly, weekly, daily, or any other timeframe. 390 00:21:37,800 --> 00:21:43,050 But if we look at the green candle as a monthly candle and we see the next 391 00:21:43,050 --> 00:21:47,220 candle or next month's candle trade down to a smaller range, we look at 392 00:21:47,220 --> 00:21:49,140 the body of the candle, not the Wix. 393 00:21:49,500 --> 00:21:49,830 Okay. 394 00:21:49,830 --> 00:21:53,640 So you can see that that smaller secondary candle or the black candle, 395 00:21:53,640 --> 00:21:54,510 and it doesn't make a difference. 396 00:21:54,510 --> 00:21:56,700 If it's an up-close or down close, that's not important. 397 00:21:57,495 --> 00:22:00,585 What we look for is the lower high in the higher, low. 398 00:22:00,645 --> 00:22:06,705 This is called an inside candle or inside bar conceptually, 399 00:22:06,705 --> 00:22:08,145 it's a volatility contraction. 400 00:22:08,205 --> 00:22:12,405 So that means there's a high probability that the next candle or the next candle 401 00:22:12,405 --> 00:22:15,915 after it will be a large range candle. 402 00:22:16,165 --> 00:22:19,754 Especially if you have a condition that's poised to go higher or lower. 403 00:22:20,115 --> 00:22:21,945 So if it's trading at a level that would be offering. 404 00:22:22,919 --> 00:22:25,620 And we have all the factors that we mentioned so far in alignment, 405 00:22:25,949 --> 00:22:27,870 suggesting that it's going to be an explosive price move. 406 00:22:27,870 --> 00:22:29,879 And then we had the direction picked as bullish. 407 00:22:30,570 --> 00:22:34,020 The next candle, or next month's candle should be an explosive 408 00:22:34,110 --> 00:22:38,340 up candle or green candle, or if not that one, the very next one. 409 00:22:38,340 --> 00:22:45,629 So it gives us a anticipatory expectation for price to explode the 410 00:22:45,629 --> 00:22:48,689 upside, but it doesn't give you timing. 411 00:22:48,689 --> 00:22:51,110 It just gives you the stage that yes, this is going to. 412 00:22:51,900 --> 00:22:54,570 Very likely have an explosive price move to the upside. 413 00:22:56,880 --> 00:23:00,960 Now this can be seen as also the smallest range in the last seven days. 414 00:23:02,250 --> 00:23:06,990 Uh, that's another, uh, filter you can use, you can do also the last three days, 415 00:23:06,990 --> 00:23:08,490 the smallest range in the last three days. 416 00:23:08,880 --> 00:23:13,560 So I use the last three days, the last seven days, and I use any inside a candle 417 00:23:13,560 --> 00:23:19,320 or inside bar to frame the context around a trait that I have already seen coming. 418 00:23:19,620 --> 00:23:21,660 If I get this, this is really adds to it. 419 00:23:22,080 --> 00:23:23,700 It's like that little wind up of a spring. 420 00:23:23,700 --> 00:23:26,550 Again, that analogy I like to use, and it's going to be let go, and 421 00:23:26,550 --> 00:23:27,840 there's going to be dynamic prices. 422 00:23:30,850 --> 00:23:31,930 Major news headlines. 423 00:23:32,200 --> 00:23:34,960 If I'm bullish on a, up your market and say, we're looking at 424 00:23:34,960 --> 00:23:38,950 gold as an example, if we have all these things lending well to. 425 00:23:39,855 --> 00:23:41,715 The notion that gold should be bullish. 426 00:23:42,165 --> 00:23:45,315 Uh, everything in, in, in the cards is suggested higher prices. 427 00:23:45,885 --> 00:23:49,245 If I'm about to buy or I'm looking to the buyer, I like to see headlines 428 00:23:49,245 --> 00:23:54,045 that show describing weakness or justifying why price went down. 429 00:23:54,435 --> 00:23:56,595 Because if I see that I know it's going to build in market 430 00:23:56,595 --> 00:23:58,115 sentiment for retail minded trader. 431 00:23:58,550 --> 00:24:01,460 When they see this, like the stuff they don't want to buy gold, they think I'm 432 00:24:01,460 --> 00:24:04,940 going to sell gold because they think that the news media or the talking 433 00:24:04,940 --> 00:24:07,370 heads or CNBC, they're smart people. 434 00:24:07,370 --> 00:24:08,930 Therefore they, they are traders. 435 00:24:09,169 --> 00:24:10,159 And that's not the case. 436 00:24:10,310 --> 00:24:11,629 If they were traders, they know what they're doing. 437 00:24:11,629 --> 00:24:14,629 They wouldn't be on the anchor position talking to us about 438 00:24:14,870 --> 00:24:16,159 why something already happened. 439 00:24:16,190 --> 00:24:18,350 They would be home trading it live before the fact. 440 00:24:18,530 --> 00:24:20,480 So if we're also bearish on a. 441 00:24:21,210 --> 00:24:24,870 Particular commodity or, or a pair or a market. 442 00:24:25,320 --> 00:24:29,160 If we were bearish and we see price trade up until a level, we want to be short. 443 00:24:29,940 --> 00:24:33,750 Ideally you want to see news headlines that are talking about how good it's 444 00:24:33,750 --> 00:24:37,140 been moving up or how it's hitting all historic highs, or it's done 445 00:24:37,140 --> 00:24:41,370 something that looks underlying bullish in the commentary that they put on. 446 00:24:42,495 --> 00:24:46,995 Uh, for futures, I subscribed to futures magazine and they do every month they talk 447 00:24:46,995 --> 00:24:51,585 about a particular market or two, and they say, how great this market's been moving 448 00:24:51,585 --> 00:24:53,055 or how bad something's been happening. 449 00:24:53,505 --> 00:24:56,565 Usually I think the catalyst that really sets up a really nice swing trade. 450 00:24:56,625 --> 00:24:57,705 And if you can start seeing that. 451 00:24:58,725 --> 00:25:02,055 At a time when you on the internet, just go through the major headlines, go 452 00:25:02,055 --> 00:25:09,015 like on MarketWatch or CNBC, anything to has a lot of talking heads and a lot of 453 00:25:09,015 --> 00:25:10,425 audience members usually following it. 454 00:25:10,455 --> 00:25:14,955 If they start talking about a market, when you're looking to be a bullish buyer and 455 00:25:14,955 --> 00:25:18,045 they're, and they're giving headlines that are bearish or HMI, and it's like a loaded 456 00:25:18,045 --> 00:25:19,965 deal it's so it's so good to see that. 457 00:25:20,445 --> 00:25:22,815 And it's also diametrically opposed to what you would expect 458 00:25:22,815 --> 00:25:26,295 to see retail sees this and they don't want to trade gold long. 459 00:25:26,325 --> 00:25:26,925 They think it's going to. 460 00:25:27,705 --> 00:25:30,855 But we go in step right in front of and say, okay, we're trading rate in 461 00:25:30,855 --> 00:25:35,805 there when the sentiment is most weak, which brings us to market sentiment. 462 00:25:36,675 --> 00:25:40,245 I use a indicator for this, and yes, you heard that, right? 463 00:25:40,245 --> 00:25:44,205 I use an indicator if the Williams percent R into my opinion, it's 464 00:25:44,835 --> 00:25:48,195 the most accurate in terms of an indicator for overall result. 465 00:25:48,555 --> 00:25:51,045 And what I do is I apply eight, 15 period. 466 00:25:51,645 --> 00:25:54,855 Uh, millions percent are on a daily basis, and I do. 467 00:25:55,995 --> 00:25:57,795 A simple overbought oversold idea. 468 00:25:58,455 --> 00:26:05,175 And I divide it and use anything at the 50 level or below that is oversold and a 469 00:26:05,175 --> 00:26:10,695 buying area and everything above the 50 level is over bought or a selling area. 470 00:26:11,445 --> 00:26:15,225 And if we're at the 50 level and we've left the oversold scenario, 471 00:26:15,285 --> 00:26:17,175 I will still factor a potential. 472 00:26:18,675 --> 00:26:22,695 And if we left an overbought condition recently in traded down, hovering around 473 00:26:22,695 --> 00:26:28,665 the 50 level, I will favor the overbought side to over the oversold condition. 474 00:26:28,665 --> 00:26:32,294 In other words, if we're at a point of equilibrium or at the 475 00:26:32,294 --> 00:26:35,865 50 level, wherever we left most recently, whether it be overbought 476 00:26:35,865 --> 00:26:37,304 oversold, I elect to go with that. 477 00:26:39,135 --> 00:26:39,685 And that's it. 478 00:26:39,865 --> 00:26:43,185 They're the hallmarks that I look for for explosive swing trades. 479 00:26:43,185 --> 00:26:46,665 They actually will be referred to again, later on in the mentorship, 480 00:26:46,695 --> 00:26:49,905 when we start talking about mega trades, but I'm actually going to give 481 00:26:49,905 --> 00:26:54,435 you an outline, um, in lesson eight, to incorporate some of these ideas. 482 00:26:54,735 --> 00:26:57,825 And also we're going to break down the actual swing trading model, what 483 00:26:57,825 --> 00:27:03,005 we do from step one to execution and management on the trade until 484 00:27:03,025 --> 00:27:04,425 next lesson, which could look good. 43167

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