Wiki source code of OTE Pattern Recognition Series - Vol 20.srt
Version 1.1 by Drunk Monkey on 2020-11-20 16:25
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| author | version | line-number | content |
|---|---|---|---|
| 1 | 1 | ||
| 2 | 00:00:11,580 ~-~-> 00:00:15,240 | ||
| 3 | ICT: Okay, folks, welcome back. This is our 20th video and | ||
| 4 | |||
| 5 | 2 | ||
| 6 | 00:00:15,240 ~-~-> 00:00:19,110 | ||
| 7 | final in this series. As you know, all good things must come | ||
| 8 | |||
| 9 | 3 | ||
| 10 | 00:00:19,110 ~-~-> 00:00:24,060 | ||
| 11 | to an end. So here we have today's example. And it's in the | ||
| 12 | |||
| 13 | 4 | ||
| 14 | 00:00:24,060 ~-~-> 00:00:27,480 | ||
| 15 | eurodollar. And we have our charts already trained on a five | ||
| 16 | |||
| 17 | 5 | ||
| 18 | 00:00:27,480 ~-~-> 00:00:29,940 | ||
| 19 | minute chart and you knew the drill. you pause the video, | ||
| 20 | |||
| 21 | 6 | ||
| 22 | 00:00:30,450 ~-~-> 00:00:33,300 | ||
| 23 | and take a look at this example and see what you see. | ||
| 24 | |||
| 25 | 7 | ||
| 26 | 00:00:39,750 ~-~-> 00:00:42,060 | ||
| 27 | And here's the previous day's high and I'll scroll back when | ||
| 28 | |||
| 29 | 8 | ||
| 30 | 00:00:42,060 ~-~-> 00:00:46,200 | ||
| 31 | after I go over this portion here but between 830 in the | ||
| 32 | |||
| 33 | 9 | ||
| 34 | 00:00:46,200 ~-~-> 00:00:51,210 | ||
| 35 | morning, New York time to 11 o'clock. Right there every | ||
| 36 | |||
| 37 | 10 | ||
| 38 | 00:00:51,210 ~-~-> 00:00:56,460 | ||
| 39 | single day. New York time. We have a market run here, above | ||
| 40 | |||
| 41 | 11 | ||
| 42 | 00:00:56,460 ~-~-> 00:00:59,940 | ||
| 43 | the previous day's high and it retraces all the way back | ||
| 44 | |||
| 45 | 12 | ||
| 46 | 00:00:59,940 ~-~-> 00:01:02,820 | ||
| 47 | down. into the 17.5 level, but for this model for the | ||
| 48 | |||
| 49 | 13 | ||
| 50 | 00:01:02,820 ~-~-> 00:01:08,490 | ||
| 51 | YouTube channel, we have a type of entry of one point 1250. | ||
| 52 | |||
| 53 | 14 | ||
| 54 | 00:01:09,180 ~-~-> 00:01:12,090 | ||
| 55 | And that position entry would have suffered eight PIP | ||
| 56 | |||
| 57 | 15 | ||
| 58 | 00:01:12,090 ~-~-> 00:01:19,500 | ||
| 59 | drawdown. You do 30 PIP stop loss. At the old high, it's a | ||
| 60 | |||
| 61 | 16 | ||
| 62 | 00:01:19,560 ~-~-> 00:01:25,410 | ||
| 63 | plus 47. At one half standard deviation is 86 pips. | ||
| 64 | |||
| 65 | 17 | ||
| 66 | 00:01:26,190 ~-~-> 00:01:29,700 | ||
| 67 | Ultimately at one standard deviation, it's 124 pips really, | ||
| 68 | |||
| 69 | 18 | ||
| 70 | 00:01:29,700 ~-~-> 00:01:33,630 | ||
| 71 | really nice day. Really easy. They actually, you don't get | ||
| 72 | |||
| 73 | 19 | ||
| 74 | 00:01:33,630 ~-~-> 00:01:36,390 | ||
| 75 | these every single day of the week, but when they do come, | ||
| 76 | |||
| 77 | 20 | ||
| 78 | 00:01:36,390 ~-~-> 00:01:41,610 | ||
| 79 | wow, it's, it's very, very fun to do it. We participated in | ||
| 80 | |||
| 81 | 21 | ||
| 82 | 00:01:41,610 ~-~-> 00:01:44,520 | ||
| 83 | an observation today on the British Pound versus the US | ||
| 84 | |||
| 85 | 22 | ||
| 86 | 00:01:44,520 ~-~-> 00:01:49,200 | ||
| 87 | dollar. I'll reserve that for my private group. But for now, | ||
| 88 | |||
| 89 | 23 | ||
| 90 | 00:01:49,650 ~-~-> 00:01:52,680 | ||
| 91 | this is just a wonderful example of close this series out | ||
| 92 | |||
| 93 | 24 | ||
| 94 | 00:01:53,310 ~-~-> 00:01:59,280 | ||
| 95 | the previous day's high. You can see here and we drew that | ||
| 96 | |||
| 97 | 25 | ||
| 98 | 00:01:59,280 ~-~-> 00:02:02,100 | ||
| 99 | out in time. And again, as I mentioned earlier in the | ||
| 100 | |||
| 101 | 26 | ||
| 102 | 00:02:02,100 ~-~-> 00:02:07,710 | ||
| 103 | series, you're going to see examples of this setup that will | ||
| 104 | |||
| 105 | 27 | ||
| 106 | 00:02:07,710 ~-~-> 00:02:11,040 | ||
| 107 | form when it runs the previous day's high or the previous | ||
| 108 | |||
| 109 | 28 | ||
| 110 | 00:02:11,040 ~-~-> 00:02:14,430 | ||
| 111 | day's low. And don't think that that's the end of the move. | ||
| 112 | |||
| 113 | 29 | ||
| 114 | 00:02:15,000 ~-~-> 00:02:19,530 | ||
| 115 | And many times it just is the very perfect setup actually, | ||
| 116 | |||
| 117 | 30 | ||
| 118 | 00:02:19,530 ~-~-> 00:02:22,020 | ||
| 119 | it just shows you that it wants to go higher, and three | ||
| 120 | |||
| 121 | 31 | ||
| 122 | 00:02:22,020 ~-~-> 00:02:24,540 | ||
| 123 | tracing lower and this gets a lot of the retail traders | ||
| 124 | |||
| 125 | 32 | ||
| 126 | 00:02:24,540 ~-~-> 00:02:28,860 | ||
| 127 | tripped up. They think that the markets reversing or, you | ||
| 128 | |||
| 129 | 33 | ||
| 130 | 00:02:28,860 ~-~-> 00:02:31,590 | ||
| 131 | know, something that affect a topping formation. I remember | ||
| 132 | |||
| 133 | 34 | ||
| 134 | 00:02:31,590 ~-~-> 00:02:34,200 | ||
| 135 | back in the 90s. When I first started, I thought that | ||
| 136 | |||
| 137 | 35 | ||
| 138 | 00:02:34,200 ~-~-> 00:02:37,500 | ||
| 139 | everyone pick tops and everyone pick bottoms. And I quickly | ||
| 140 | |||
| 141 | 36 | ||
| 142 | 00:02:37,500 ~-~-> 00:02:40,140 | ||
| 143 | found out that I personally at the time couldn't do that. | ||
| 144 | |||
| 145 | 37 | ||
| 146 | 00:02:40,740 ~-~-> 00:02:46,020 | ||
| 147 | And learning how these markets operate initially with | ||
| 148 | |||
| 149 | 38 | ||
| 150 | 00:02:46,020 ~-~-> 00:02:50,190 | ||
| 151 | commodities. That market is no different from the foreign | ||
| 152 | |||
| 153 | 39 | ||
| 154 | 00:02:50,190 ~-~-> 00:02:52,950 | ||
| 155 | exchange market in a lot of ways, but the foreign exchange | ||
| 156 | |||
| 157 | 40 | ||
| 158 | 00:02:52,950 ~-~-> 00:02:56,490 | ||
| 159 | market has a whole lot more subtle nuances that are very | ||
| 160 | |||
| 161 | 41 | ||
| 162 | 00:02:56,490 ~-~-> 00:03:00,840 | ||
| 163 | specific to it. Just like the bond market has subtle nuances | ||
| 164 | |||
| 165 | 42 | ||
| 166 | 00:03:01,140 ~-~-> 00:03:04,680 | ||
| 167 | that are very unique to it. And I'm sure if I were a crypto | ||
| 168 | |||
| 169 | 43 | ||
| 170 | 00:03:04,680 ~-~-> 00:03:08,340 | ||
| 171 | trader, which I'm not, I could probably give a list of | ||
| 172 | |||
| 173 | 44 | ||
| 174 | 00:03:08,340 ~-~-> 00:03:12,300 | ||
| 175 | things about that asset class that would be very germane to | ||
| 176 | |||
| 177 | 45 | ||
| 178 | 00:03:12,300 ~-~-> 00:03:17,550 | ||
| 179 | just that asset class alone. So when we go through all these | ||
| 180 | |||
| 181 | 46 | ||
| 182 | 00:03:17,550 ~-~-> 00:03:20,040 | ||
| 183 | examples, I'm gonna count you to go through them multiple | ||
| 184 | |||
| 185 | 47 | ||
| 186 | 00:03:20,040 ~-~-> 00:03:22,830 | ||
| 187 | times. I'm purposely went in and made them as short as I | ||
| 188 | |||
| 189 | 48 | ||
| 190 | 00:03:22,830 ~-~-> 00:03:27,030 | ||
| 191 | possibly can right to the point. And it gives you basically | ||
| 192 | |||
| 193 | 49 | ||
| 194 | 00:03:27,060 ~-~-> 00:03:30,690 | ||
| 195 | what a one full month or 20 trading days would be like | ||
| 196 | |||
| 197 | 50 | ||
| 198 | 00:03:31,590 ~-~-> 00:03:36,120 | ||
| 199 | logging the examples of one market that you find the optimal | ||
| 200 | |||
| 201 | 51 | ||
| 202 | 00:03:36,120 ~-~-> 00:03:41,880 | ||
| 203 | trade entry in. And what will happen is, you will assume, | ||
| 204 | |||
| 205 | 52 | ||
| 206 | 00:03:41,940 ~-~-> 00:03:43,770 | ||
| 207 | especially if you're new watching this video series that | ||
| 208 | |||
| 209 | 53 | ||
| 210 | 00:03:43,800 ~-~-> 00:03:47,760 | ||
| 211 | this pattern should form every single day in the same | ||
| 212 | |||
| 213 | 54 | ||
| 214 | 00:03:48,210 ~-~-> 00:03:53,700 | ||
| 215 | market. And that's not true. There is this pattern always, | ||
| 216 | |||
| 217 | 55 | ||
| 218 | 00:03:54,180 ~-~-> 00:03:57,600 | ||
| 219 | every single day, but not every single day is the market | ||
| 220 | |||
| 221 | 56 | ||
| 222 | 00:03:57,600 ~-~-> 00:04:02,400 | ||
| 223 | that you're following exclusively. Going to make a really | ||
| 224 | |||
| 225 | 57 | ||
| 226 | 00:04:02,400 ~-~-> 00:04:05,370 | ||
| 227 | easy run above the previous day's higher below the previous | ||
| 228 | |||
| 229 | 58 | ||
| 230 | 00:04:05,370 ~-~-> 00:04:08,790 | ||
| 231 | day's low. So that part you have to work out and build a | ||
| 232 | |||
| 233 | 59 | ||
| 234 | 00:04:08,820 ~-~-> 00:04:12,210 | ||
| 235 | watch list and those things. You can learn how to do that in | ||
| 236 | |||
| 237 | 60 | ||
| 238 | 00:04:12,210 ~-~-> 00:04:15,840 | ||
| 239 | my free youtube channel videos and other series. | ||
| 240 | |||
| 241 | 61 | ||
| 242 | 00:04:15,990 ~-~-> 00:04:18,600 | ||
| 243 | So if you found this insightful, I wish you all good luck | ||
| 244 | |||
| 245 | 62 | ||
| 246 | 00:04:18,660 ~-~-> 00:04:19,320 | ||
| 247 | and good trading |