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These are the user uploaded subtitles that are being translated: 1 00:07:27,263 --> 00:07:30,343 going to become more volatile than Euro AED for example 2 00:07:30,343 --> 00:07:34,183 that's just not going to happen this this document is just 3 00:07:03,583 --> 00:07:08,423 there's a lot to learn in that of course but in terms of the 4 00:07:37,423 --> 00:07:42,223 want a more volatile pair and yeah that's it guys so I'll see 5 00:07:17,863 --> 00:07:23,183 because because these are based on weekly and monthly time 6 00:07:15,303 --> 00:07:17,863 so it's not going to be completely up to date but 7 00:07:42,223 --> 00:07:45,183 you guys in the next lesson and hope you benefit from this 8 00:07:08,423 --> 00:07:11,863 data I've got an excel document that I'm going to provide every 9 00:06:09,683 --> 00:06:14,963 rises your money is not worth what it was before so if you 10 00:07:11,863 --> 00:07:15,303 single student this is data collected from a few months ago 11 00:06:48,303 --> 00:06:54,743 pairs. The Mexican peso Norwegian corona I think it's 12 00:06:54,743 --> 00:07:00,783 called and yeah I mean this is this is sort of a precursor 13 00:05:38,823 --> 00:05:43,903 characteristics because you know when there's a recession 14 00:07:00,783 --> 00:07:03,583 into the fundamental course that we'll be going through 15 00:06:28,683 --> 00:06:34,563 got the medium range which is I'd say CAD and AUD you could 16 00:05:43,903 --> 00:05:48,183 or the economy is going through a crisis or anything sort of 17 00:06:44,183 --> 00:06:48,303 pairs. They're not heavily traded. Usually commodity-based 18 00:04:52,243 --> 00:04:55,563 know a bit about all these pairs you know that these are 19 00:06:00,703 --> 00:06:06,923 essentially it both works as a hedge against the economy so as 20 00:06:18,763 --> 00:06:22,323 your investment stable essentially it means you have 21 00:05:17,903 --> 00:05:24,123 thing come into play when working out the volatility So 22 00:05:13,343 --> 00:05:17,903 lot of iron they export a lot of gold all these kinds of 23 00:05:33,023 --> 00:05:38,823 are most traded and also that have safe haven sort of 24 00:06:38,723 --> 00:06:44,183 of exports but then the most volatile pairs are the exotic 25 00:06:34,563 --> 00:06:38,723 even put NZD in there as well. I mean any country with a lot 26 00:06:25,683 --> 00:06:28,683 lot of people invest in safe haven currencies then you've 27 00:05:27,683 --> 00:05:33,023 movements and volatility. Uh least volatile pairs pairs that 28 00:05:53,343 --> 00:05:56,543 invest their money in safe haven currencies they want 29 00:06:14,963 --> 00:06:18,763 can invest in something that will keep your income stable or 30 00:04:55,563 --> 00:04:58,803 commodity based pairs. These are pairs that have a lot of 31 00:05:24,123 --> 00:05:27,683 now now you understand certain pairs of different kinds of 32 00:07:34,183 --> 00:07:37,423 going to explain to you which pairs you can look for if you 33 00:07:23,183 --> 00:07:27,263 frames not much is going to change I mean Euro GBP is not 34 00:05:03,583 --> 00:05:09,063 linked to the Eurozone and also United States if you compare 35 00:04:10,363 --> 00:04:14,803 we we could look at the weekly or the monthly. Uh weekly is a 36 00:03:53,523 --> 00:03:57,283 movement so what Happens when you compare it to everything 37 00:06:06,923 --> 00:06:09,683 I'm just going to explain it really quickly but as inflation 38 00:04:38,083 --> 00:04:43,803 has great Able so low volatility. Euro GBP as well. 39 00:05:09,063 --> 00:05:13,343 that to Australia or New Zealand you know they export a 40 00:04:58,803 --> 00:05:03,583 exports and less imports. So Euro USD for example you're 41 00:04:43,803 --> 00:04:52,243 Pairs like Euro AED, Euronoc, Eurozar, EuroNZD. If you if you 42 00:03:47,563 --> 00:03:53,523 we can expect that kind of volatility that much so price 43 00:04:14,803 --> 00:04:18,043 good measure just because you know on the daily if you look 44 00:05:48,183 --> 00:05:53,343 negative around the world many investors will flock to to 45 00:04:33,043 --> 00:04:38,083 good piece of data for that but yeah as you can see Euro USD 46 00:04:27,843 --> 00:04:33,043 quite a good sort of not prediction but it's quite a 47 00:04:18,043 --> 00:04:22,243 at the ATR some days are going to have news events so 48 00:04:02,043 --> 00:04:05,963 We've got some labeled in red, blue and then grey. The grey 49 00:04:05,963 --> 00:04:10,363 ones are the ones with very much lower volatility. Usually 50 00:03:32,683 --> 00:03:40,683 so if the price right now for Euro and USD is $1 it it takes 51 00:06:22,323 --> 00:06:25,683 gotten richer in proportion to the whole world so that's why a 52 00:04:22,243 --> 00:04:27,843 that might change it all the data weekly is quite a good 53 00:03:57,283 --> 00:04:02,043 else. Um if you guys can see we've got this table here. 54 00:03:06,563 --> 00:03:12,083 you know what it is it's how much how much the pair moves 55 00:03:27,043 --> 00:03:32,683 that means how much it moves by in percentage points is 1. 67% 56 00:05:56,543 --> 00:06:00,703 pairs that will give them the highest yield on their money so 57 00:02:10,703 --> 00:02:16,023 changes but if lots and lots and lots of people took part of 58 00:03:40,683 --> 00:03:47,563 one euro whatever it is it will change by 1. 67% that week so 59 00:01:39,363 --> 00:01:43,283 crazy crazy moves and the reason for that is the amount 60 00:03:16,923 --> 00:03:20,603 we've got so what's this mean you see here we've got Euro USD 61 00:02:01,083 --> 00:02:05,043 currency today and I was the only one that control that had 62 00:03:03,483 --> 00:03:06,563 before we get any further average shoe rate just just so 63 00:02:55,323 --> 00:02:59,123 the ATR was calculated for pretty much all the pairs so 64 00:02:39,523 --> 00:02:45,563 not you can simply work it out. Use Excel and the data to work 65 00:02:51,163 --> 00:02:55,323 before we got sent this and you know it was very helpful but 66 00:01:57,283 --> 00:02:01,083 that's invested into that pair. If I was to come up with a 67 00:02:59,123 --> 00:03:03,483 for example we've got Euro USD values here and by the way 68 00:02:28,203 --> 00:02:31,803 volatility of each pair can be measured by the ATR average 69 00:02:23,023 --> 00:02:28,203 direction I want. So how do we measure volatility? So 70 00:02:31,803 --> 00:02:34,803 true range. Now this is something that you can put on I 71 00:01:53,923 --> 00:01:57,283 market cap in a way. Let's just say the max amount of money 72 00:02:16,023 --> 00:02:18,823 changing the currency and trading it then of course it'd 73 00:03:12,083 --> 00:03:16,923 essentially and by how much percentage so you see how here 74 00:02:05,043 --> 00:02:10,703 that that money I would easily control the you know the price 75 00:02:18,823 --> 00:02:23,023 be harder for me to shift that currency in my favor in the 76 00:02:34,803 --> 00:02:39,523 believe you can put on your charts on trade in view. Uh if 77 00:01:35,363 --> 00:01:39,363 going to get maybe 8 00 pip moves in a week or so. You know 78 00:01:43,283 --> 00:01:48,403 of money that it takes to shift Euro USD even one pip is so 79 00:01:31,443 --> 00:01:35,363 African Rand that pair a lot more frequently like you're 80 00:01:48,403 --> 00:01:53,923 much more than USDs are simply because there's not enough 81 00:01:18,563 --> 00:01:23,163 traded pair across the world by banks by institutions of course 82 00:02:45,563 --> 00:02:51,163 it out. Personally in in a previous group that I was in 83 00:01:05,723 --> 00:01:10,243 volatility and then you've got liquidity as well liquidity 84 00:01:13,483 --> 00:01:18,563 market so if you guys didn't know Euro USD is the most 85 00:01:23,163 --> 00:01:27,403 there they mainly make up the whole sector but then on the 86 00:00:54,483 --> 00:00:56,683 much more frequently and quickly making it more 87 00:01:00,483 --> 00:01:05,723 away from. So just to explain this properly you've got 88 00:00:43,483 --> 00:00:46,323 the market to move even just a pip, lots of money must be 89 00:00:40,003 --> 00:00:43,483 are some of the most liquid and heavily traded pairs and so for 90 00:00:46,323 --> 00:00:50,403 moved. On the opposite end of the spectrum, exotic pairs 91 00:00:56,683 --> 00:01:00,483 volatile. These are the that retail traders usually stay 92 00:01:27,403 --> 00:01:31,443 opposite side you've got some exotic pairs like USD South 93 00:03:20,603 --> 00:03:27,043 1. 67% so in one year the weekly average trade range so 94 00:00:50,403 --> 00:00:54,483 which have much lower liquidity, its prices moves 95 00:01:10,243 --> 00:01:13,483 what it is is the amount of money that flows into that 96 00:00:24,623 --> 00:00:27,543 back this up as well. 97 00:00:32,443 --> 00:00:35,563 market is. So, the volume of the market participants. Thus, 98 00:00:35,563 --> 00:00:40,003 impacting the volatility. For example, Euro GBP and Euro USD 99 00:00:28,543 --> 00:00:32,443 So, the difference between marketplaces is how liquid the 100 00:00:13,903 --> 00:00:17,703 start getting you into fundamentals. Um of course it's 101 00:00:09,263 --> 00:00:13,903 currency, volatility and data. So this is kind of going to 102 00:00:17,703 --> 00:00:21,023 so much more than this but this is simply just to understand 103 00:00:21,023 --> 00:00:24,623 the volatility of each pair. And then using some data to 104 00:00:06,983 --> 00:00:09,263 Um so in this world we're going to be looking at 105 00:07:45,183 --> 00:07:48,183 alright take care. 106 00:00:02,843 --> 00:00:06,983 Yes guys, welcome to the next lesson I'll be going through. 9810

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