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Would you like to inspect the original subtitles? These are the user uploaded subtitles that are being translated: 1 00:14:49,528 --> 00:14:53,328 are right and how much you lose when you are wrong. When you 2 00:14:44,648 --> 00:14:46,968 doesn't matter whatsoever in trading. It's pretty 3 00:14:46,968 --> 00:14:49,528 irrelevant. It's all about how much money you make when you 4 00:14:21,288 --> 00:14:24,368 after 10 trades you would actually make a net profit of 5 00:14:53,328 --> 00:14:56,448 can truly grasp this concept, the psychology of trading will 6 00:13:14,248 --> 00:13:17,528 trades play out over time you're going to have that 50/ 7 00:13:31,168 --> 00:13:35,268 that to try and squeeze out as much sort of maximum as we can 8 00:13:20,328 --> 00:13:23,848 that a little bit obviously as we go on to actually learn the 9 00:13:12,048 --> 00:13:14,248 you know if you just put this on anywhere and you just let 10 00:12:53,428 --> 00:12:56,188 so yeah that's pretty much it it's it's very very simple you 11 00:13:07,088 --> 00:13:09,248 obviously even so we're going to have that risk reward 12 00:14:32,328 --> 00:14:35,848 you know having that high rewards really is powerful. So 13 00:14:24,368 --> 00:14:28,648 two R so what this means is with a 3-1 risk reward ratio 14 00:12:30,768 --> 00:12:33,768 more money we will make on our winners and then that form 15 00:11:49,188 --> 00:11:51,628 compact stats mode just because you know it's just a little bit 16 00:11:31,088 --> 00:11:34,928 box here is our risk right so obviously the aim of the game 17 00:12:20,168 --> 00:12:22,528 like on the charts we're obviously like I said trying to 18 00:11:27,168 --> 00:11:31,088 essentially the the the grey here is our reward and our blue 19 00:14:38,368 --> 00:14:41,728 within trading and the methods that we can use to increase our 20 00:12:22,528 --> 00:12:25,088 get this as small as possible whilst trying to get the trade 21 00:14:28,648 --> 00:14:32,328 you can be wrong up to 75% of the time and still break even 22 00:13:48,908 --> 00:13:51,948 you guys need to know for now but yeah we'll we'll get into 23 00:14:16,848 --> 00:14:21,288 you an average reward to risk ratio of 3 to1, then on average 24 00:13:41,108 --> 00:13:43,068 kind of an inverse relationships between strike 25 00:10:38,668 --> 00:10:41,508 your average wins and size of your average losses right to 26 00:11:08,888 --> 00:11:11,328 your long position and your short position and then just 27 00:14:13,688 --> 00:14:16,848 of your average loser is only minus one R then that will give 28 00:14:01,468 --> 00:14:05,848 you have a pretty low strike rate of 30%, then on average 29 00:13:55,868 --> 00:14:01,468 at the actual technical side of the strategy so let's say that 30 00:13:51,948 --> 00:13:55,868 this in a lot more detail when we actually start to look yeah 31 00:13:09,248 --> 00:13:12,048 of one and then you know that would just be your 50-50% edge 32 00:13:17,528 --> 00:13:20,328 50 edge right so what we want to try and do is reduce 33 00:13:37,548 --> 00:13:41,108 your heads is just that relationship which is typically 34 00:11:22,128 --> 00:11:24,648 this case I've just changed it to a blue box you know changes 35 00:10:35,328 --> 00:10:38,668 and your risk rewards you achieve right so the size of 36 00:12:37,148 --> 00:12:40,388 minus one hour loss right we always keep our Rick's fist 37 00:13:43,068 --> 00:13:45,908 rate and risk reward and then how that translates onto on the 38 00:12:25,088 --> 00:12:27,448 to run enough further as long as possible and and the more 39 00:13:02,748 --> 00:13:07,088 pip target and then a you know 20 per stop loss that's 40 00:12:08,008 --> 00:12:11,128 to your rewards so your ratio is getting smaller and smaller 41 00:12:11,128 --> 00:12:14,448 and obviously as you decrease your stop loss size your reward 42 00:10:27,768 --> 00:10:31,288 Right, so we've essentially looked at the sort of basic 43 00:12:04,548 --> 00:12:08,008 because your risk is bigger and bigger you know in comparison 44 00:09:59,748 --> 00:10:02,508 a high reward to risk ratio strategy where it really no 45 00:11:46,588 --> 00:11:49,188 is double click to open up the stats because I have it on 46 00:11:03,988 --> 00:11:06,688 this save down to your favorite toolbars up here if you have a 47 00:11:56,988 --> 00:12:01,788 make your stop loss bigger right and your reward stays the 48 00:12:56,188 --> 00:12:58,468 know if you can you can open this up again and play around 49 00:10:58,428 --> 00:11:01,988 risk management lessons on position sizing right we know 50 00:12:43,628 --> 00:12:46,668 that means we can afford to have a lower strike rate right 51 00:12:49,628 --> 00:12:53,428 get away with and still break even you know at a bare minimum 52 00:12:46,668 --> 00:12:49,628 the higher this number is the lower the strike rate you can 53 00:11:37,868 --> 00:11:41,188 this box as big as possible here so that we increase our 54 00:12:01,788 --> 00:12:04,548 same that means that your risk reward is going to fall right 55 00:09:20,748 --> 00:09:24,268 your reward to risk but displayed as a number so if you 56 00:12:33,768 --> 00:12:37,148 means you know as long as our losses you know that strict 57 00:12:14,448 --> 00:12:17,128 is going to get bigger right hopefully that is kind of self 58 00:09:13,148 --> 00:09:17,308 you need in order to break even depending on what your average 59 00:09:17,308 --> 00:09:20,748 R multiple is so if you are multiple it's essentially just 60 00:08:50,548 --> 00:08:53,388 profits too early out of fear or maybe letting your losses 61 00:10:18,328 --> 00:10:20,768 that's when you have a really powerful combo and you can 62 00:11:44,428 --> 00:11:46,588 denotes your risk rewards so what I'm actually going to do 63 00:11:01,988 --> 00:11:03,988 that when you open this up so hopefully you guys should have 64 00:11:11,328 --> 00:11:14,088 save those down so yeah it's really really simple 65 00:11:14,088 --> 00:11:17,048 essentially where you know this is a long position the line in 66 00:10:54,788 --> 00:10:58,428 the risk reward tool that we very briefly looked at in the 67 00:11:24,648 --> 00:11:27,168 whatever you want it's kind of irrelevant the color but yeah 68 00:11:17,048 --> 00:11:19,248 the middle is where you enter gives you the price on your 69 00:10:31,288 --> 00:10:35,328 mathematical relationship between both your strike rate 70 00:07:57,008 --> 00:08:00,368 higher strike rate. So hopefully you've watched the 71 00:08:09,168 --> 00:08:12,688 70% of their traders lost money despite having a reasonably 72 00:09:04,988 --> 00:09:08,668 maintaining an extremely high strike rate which is not easy 73 00:08:48,148 --> 00:08:50,548 of the masses of traders make you know such as taking your 74 00:10:41,508 --> 00:10:44,988 give you your average risk reward okay great but how does 75 00:09:27,508 --> 00:09:30,548 your losers are say double the size of your winners then your 76 00:11:06,688 --> 00:11:08,888 then you can find it on the left hand side where you have 77 00:10:24,048 --> 00:10:27,768 charts and see what this actually looks like on there. 78 00:10:16,088 --> 00:10:18,328 you gain more and more experience and knowledge and 79 00:08:55,988 --> 00:08:58,548 you're hoping that it's turn around in your favor then 80 00:07:25,888 --> 00:07:29,448 trying to consistently hit the you know the huge home run wins 81 00:08:12,688 --> 00:08:16,208 high strike rate of 62 percent. And it's all because those 82 00:07:40,648 --> 00:07:43,208 quite a few losses or break evens or you know maybe very 83 00:08:29,308 --> 00:08:32,028 go for that higher strike rate approach but they struggle to 84 00:07:32,288 --> 00:07:35,248 isn't going to trend that far and it will often pull back to 85 00:07:35,248 --> 00:07:37,688 either stop you out and you know despite you being in a 86 00:08:02,488 --> 00:08:05,768 fail? And you may remember the the trading data that was 87 00:14:35,848 --> 00:14:38,368 you should now have a pretty good idea of what expectancy is 88 00:10:02,508 --> 00:10:05,308 longer matters if you take many losing trades as long as you 89 00:10:20,768 --> 00:10:24,048 start to make some serious money. So, let's hop on the 90 00:09:46,468 --> 00:09:49,268 even however if you can get your average winners to be 91 00:09:42,628 --> 00:09:46,468 winning trade then you need a 67% strike rate just to break 92 00:07:23,048 --> 00:07:25,888 you try and increase your average reward risk ratio by 93 00:09:30,548 --> 00:09:35,068 reward to risk ratio is one to 2 if you divide one by two you 94 00:07:14,748 --> 00:07:17,388 off and a bit of a balancing act between both your strike 95 00:07:37,688 --> 00:07:40,648 decent amount of running profit beforehand. So you can take 96 00:07:17,388 --> 00:07:19,908 rate and your average reward to risk ratio because they 97 00:06:49,268 --> 00:06:51,988 easier. Now, if you're new to trading, you may have some 98 00:07:43,208 --> 00:07:47,248 tiny wins before you hit and bank that big winning trade. So 99 00:09:56,508 --> 00:09:59,748 still break even it's really showed the true power of having 100 00:06:35,288 --> 00:06:37,608 Now this presents a psychological barrier. Because 101 00:06:32,688 --> 00:06:35,288 they often require traders to lose more often than they win. 102 00:06:43,968 --> 00:06:46,408 education companies they'll market high strike rate 103 00:06:27,288 --> 00:06:30,088 healthy net profit. Now although high reward risk 104 00:06:51,988 --> 00:06:54,628 difficulty trying to accept that you could spend, you know, 105 00:07:07,988 --> 00:07:11,708 through the threshold of trading a consistency. Now, 106 00:07:05,548 --> 00:07:07,988 completely numb to losing trades and you will break 107 00:07:00,028 --> 00:07:03,108 probability really works. I know that if you persist 108 00:14:41,728 --> 00:14:44,648 edge and that being right or wrong, you know, it really 109 00:08:53,388 --> 00:08:55,988 run because you just can't stomach locking the loss in and 110 00:08:38,748 --> 00:08:41,628 reward to risk and strike rate comes into play and the higher 111 00:08:58,548 --> 00:09:01,388 you're going to have a low average reward to risk ratio so 112 00:05:58,728 --> 00:06:02,568 are over the long term now there are two profitability 113 00:09:08,668 --> 00:09:13,148 to do now here's a table that shows a required strike rate 114 00:08:32,028 --> 00:08:35,468 achieve the reward to risk ratio required to make money 115 00:06:21,528 --> 00:06:24,648 short and let your profits run so that your winning positions 116 00:14:05,848 --> 00:14:09,108 you can expect to win three trades out of every 10 right, 117 00:13:45,908 --> 00:13:48,908 charts we're actually sizing up oppositions and yeah that's all 118 00:13:28,488 --> 00:13:31,168 losses but then once we're in the trade how we try and manage 119 00:14:09,108 --> 00:14:13,688 but if the size of your average winner is plus VR and the size 120 00:13:26,008 --> 00:13:28,488 how we actually can get away with extremely tight stop 121 00:12:58,468 --> 00:13:02,748 with it and just put in the pips so let's say we have a 20 122 00:12:27,448 --> 00:12:30,768 that we can do that the bigger our risk rewards will be the 123 00:06:57,268 --> 00:07:00,028 much time working on your psychology and showing you how 124 00:05:45,388 --> 00:05:49,208 a trade over the long run. It's impossible to always be right 125 00:08:16,208 --> 00:08:19,568 trades on average had a negative reward to risk ratio. 126 00:08:22,248 --> 00:08:25,208 and it all comes back to the human psychology of avoiding 127 00:13:23,848 --> 00:13:26,008 technical aspect of the strategy you're going to learn 128 00:05:27,628 --> 00:05:30,228 much relevant too. So when it comes to analyzing your 129 00:13:35,268 --> 00:13:37,548 but for now all you need to really kind of get around in 130 00:05:30,228 --> 00:05:33,228 trading, combining these stats together to calculate your 131 00:06:24,648 --> 00:06:27,288 more than cover your losing trades and leave you with a 132 00:06:40,688 --> 00:06:43,968 whereby we are consistently losing. So this is why most 133 00:05:33,228 --> 00:05:35,748 profit expectancy will give you a much more accurate 134 00:07:19,908 --> 00:07:23,048 typically an inverse relationship. So the more that 135 00:08:05,768 --> 00:08:09,168 analyzed from the popular retail broker FXCM where over 136 00:07:47,248 --> 00:07:50,088 what this can mean is that your strike rate will be a bit lower 137 00:07:11,708 --> 00:07:14,748 with those two profitability models, it is generally a trade 138 00:11:54,108 --> 00:11:56,988 have it on the default mode there and as you can see as you 139 00:12:40,388 --> 00:12:43,628 Ricks are at risk fixed right with that small stop loss then 140 00:11:51,628 --> 00:11:54,108 clearer but essentially that would explain it there if you 141 00:07:03,108 --> 00:07:05,548 through any of the hard times, you will soon just become 142 00:12:17,128 --> 00:12:20,168 explanatory so yeah this is pretty much what an edge looks 143 00:06:05,528 --> 00:06:08,528 which is simply those that win more times than they lose and 144 00:04:20,648 --> 00:04:23,968 overall profit expectancy is just zero dollars so he's 145 00:05:03,388 --> 00:05:06,868 averaging $200 profit per trade even though he's losing and 146 00:11:41,188 --> 00:11:44,428 risk reward so as you can see this number here in the middle 147 00:11:19,248 --> 00:11:22,128 right hand side and then this represents your risk right in 148 00:11:34,928 --> 00:11:37,868 is to get this box as small as possible and we want to get 149 00:05:49,208 --> 00:05:52,688 when trading Forex however calculating your expectancy it 150 00:05:55,568 --> 00:05:58,728 be right on each individual trade to instead how right you 151 00:04:28,008 --> 00:04:31,568 time but when he did he won big with $3, 000 on average and 152 00:04:17,008 --> 00:04:20,648 his loss rate which was only 25% and we can see that his 153 00:05:52,688 --> 00:05:55,568 can really help you to shift your focus away from trying to 154 00:10:50,948 --> 00:10:54,788 know we are managing then those positions well going back to 155 00:06:11,688 --> 00:06:15,048 strategies that win big but not necessarily often as they 156 00:10:44,988 --> 00:10:47,428 that actually look kind of in reality you know when we are 157 00:10:47,428 --> 00:10:50,948 trading on the charts and we're sizing up positions and you 158 00:10:12,488 --> 00:10:16,088 ratio but also start to slowly increase your strike rate as 159 00:05:18,828 --> 00:05:21,388 and important it is to focus on the metrics as a whole that 160 00:06:46,408 --> 00:06:49,268 strategies because the masses follow that concept much 161 00:04:01,588 --> 00:04:05,348 your loss rate. So in one's case he had a high win rate of 162 00:03:58,668 --> 00:04:01,588 average loss on your losing trades and you multiply that by 163 00:04:13,248 --> 00:04:17,008 his average loss which is a whopping $3, 000 multiplied by 164 00:06:18,848 --> 00:06:21,528 reward to risk strategies are essentially to cut your losses 165 00:06:02,568 --> 00:06:05,528 models in trading the first is a high strike rate strategy 166 00:03:55,628 --> 00:03:58,668 your win rate. And then you add this figure to the size of your 167 00:05:35,748 --> 00:05:38,988 representation of your true trading performance. So you can 168 00:06:15,048 --> 00:06:18,848 usually have a much lower strike rate so the idea high 169 00:05:38,988 --> 00:05:41,388 essentially think of your expectancy in the market as the 170 00:05:24,308 --> 00:05:27,628 irrelevant metric. Your average P and L on its own is pretty 171 00:09:49,268 --> 00:09:51,948 three times the size of your average losers so you have an R 172 00:05:06,868 --> 00:05:10,988 he's wrong 70% of the time his high reward to risk strategy 173 00:09:35,068 --> 00:09:39,668 get no. 5 so that is your R multiple so in that case if 174 00:09:39,668 --> 00:09:42,628 your average losing trade is double the size of your average 175 00:10:05,308 --> 00:10:08,688 keep your loser small then your winners will for your loses and 176 00:09:51,948 --> 00:09:56,508 multiple of three then you can be wrong 75% of the time and 177 00:10:08,688 --> 00:10:12,488 more. Now, when you can maintain a high reward to risk 178 00:04:38,008 --> 00:04:41,488 which means he had a healthy positive profit expectancy of 179 00:03:49,268 --> 00:03:52,428 formula to calculate this now. So you take the size of your 180 00:04:56,348 --> 00:04:59,988 needs to win even more often or improve his average reward to 181 00:03:45,948 --> 00:03:49,268 that we risk in the market. So you should already know the 182 00:09:01,388 --> 00:09:04,988 in that case your only hope of becoming profitable is by 183 00:09:24,268 --> 00:09:27,508 have a negatively skewed reward to risk ratio like Quan and 184 00:08:41,628 --> 00:08:44,948 your average reward to risk ratio then the less often you 185 00:08:44,948 --> 00:08:48,148 actually need to win so if you make all the mistakes that most 186 00:04:31,568 --> 00:04:34,768 then if we add this to his lost rate which is quite high at 70% 187 00:04:34,768 --> 00:04:38,008 but he only lost $1000 on average on his losing trades 188 00:05:14,428 --> 00:05:18,828 still make a net profit overall so hopefully now see how clear 189 00:03:17,708 --> 00:03:21,108 winners are three times larger than his losers so this gives 190 00:02:23,048 --> 00:02:27,128 expectancy which then gave him a profitable edge in a 50/ 50 191 00:03:21,108 --> 00:03:24,388 us a lot more insight into the traders and we can see that 192 00:03:04,448 --> 00:03:07,688 average. Now when Steve is right he makes three thousand 193 00:02:54,088 --> 00:02:57,568 wrong he makes an average three grand loss. So this means that 194 00:07:29,448 --> 00:07:32,288 then a lot of the time when you're in those trades price 195 00:02:27,128 --> 00:02:31,048 coin flip game so going back to our two traders batting out we 196 00:03:07,688 --> 00:03:10,848 dollars on average per trade and when he's wrong on average 197 00:07:50,088 --> 00:07:53,928 in comparison to a trader who aims for a much lower lower 198 00:08:35,468 --> 00:08:38,748 overall so that's where the inverse relationship between 199 00:08:25,208 --> 00:08:29,308 pain and wanting to be and that's why most traders try to 200 00:08:19,568 --> 00:08:22,248 Now you can see their losers were bigger than their winners 201 00:08:00,368 --> 00:08:02,488 first episode in this module called are you destined to 202 00:04:09,308 --> 00:04:13,248 so you multiply those together and add that to the number to 203 00:06:54,628 --> 00:06:57,268 a lot of your time losing and this is why we have spent so 204 00:02:45,368 --> 00:02:50,088 risk ratios over their 100 trades. So when one wins he 205 00:06:30,088 --> 00:06:32,688 strategies are more common and preferred by more professionals 206 00:03:43,148 --> 00:03:45,948 much we stand to gain or lose as a trader for every dollar 207 00:04:53,548 --> 00:04:56,348 so for Juan's strategy to become profitable he either 208 00:03:00,968 --> 00:03:04,448 his losers are three times bigger than his riders on 209 00:06:08,528 --> 00:06:11,688 the second is a high reward to risk ratio strategy which are 210 00:06:37,608 --> 00:06:40,688 it's against our nature to continue doing something right 211 00:04:41,488 --> 00:04:46,188 two hundred so what does this actually mean well despite 212 00:04:46,188 --> 00:04:50,388 winning 75% of the time Huan is a break even trader because the 213 00:04:05,348 --> 00:04:09,308 75% and he made $1, 000 on average on his winning trades 214 00:07:53,928 --> 00:07:57,008 reward to risk ratio and they can typically have a slightly 215 00:02:41,888 --> 00:02:45,368 trade so in other words to calculate the traders reward to 216 00:02:38,688 --> 00:02:41,888 wins a trade as well as the amount lost when they lose a 217 00:01:48,548 --> 00:01:51,948 ratio improves, right? Now, in the previous lesson where we 218 00:05:21,388 --> 00:05:24,308 matter because strike rate on its own is a completely 219 00:03:27,188 --> 00:03:30,308 gain in any one trade where Steve is looking for a much 220 00:03:37,428 --> 00:03:40,028 traders strategies stack up against each other we need to 221 00:03:30,308 --> 00:03:33,668 bigger payoff but he's not willing to risk as much as Quan 222 00:02:01,588 --> 00:02:04,308 their win rate and that's one way in which the casino 223 00:01:45,228 --> 00:01:48,548 average P and L increases and our average reward to risk 224 00:05:41,388 --> 00:05:45,388 amount that you theoretically get paid on average to execute 225 00:04:23,968 --> 00:04:28,008 breaking even now when looking at Steve he only won 30% of the 226 00:04:50,388 --> 00:04:53,548 size of his losses far outweigh the size of his winning trades 227 00:03:40,028 --> 00:03:43,148 calculate the profit expectancy so this essentially tells us 228 00:02:10,908 --> 00:02:14,048 pence when he lost and for Seb to pay him a full one pounds 229 00:02:31,048 --> 00:02:33,088 only know the first two ornaments so their win and 230 00:03:52,428 --> 00:03:55,628 average profit on winning trades and you multiply that by 231 00:02:14,048 --> 00:02:17,168 when he won this is the fourth method right because he 232 00:05:10,988 --> 00:05:14,428 means that he can be wrong much more frequently than Juan but 233 00:01:41,148 --> 00:01:45,228 of our winners and or decrease the of our losers so that our 234 00:04:59,988 --> 00:05:03,388 risk ratio now Steve's profit expectancy it tells that he's 235 00:02:07,308 --> 00:02:10,908 example, where Sam negotiated with Sarah to only pay her 90 236 00:02:04,308 --> 00:02:07,308 improved their expectancy. Now, if you also remember the 237 00:03:24,388 --> 00:03:27,188 Quan is willing to risk three times more than he stands to 238 00:01:25,148 --> 00:01:28,388 size of your loss on your losing trades so to improve our 239 00:03:33,668 --> 00:03:37,428 per trade now to really understand how each of our 240 00:02:57,568 --> 00:03:00,968 he has a negative reward to risk ratio of one to three as 241 00:02:36,088 --> 00:02:38,688 need to know the amount of profit made when each trader 242 00:03:10,848 --> 00:03:14,028 he only loses a thousand dollars. So means he has a 243 00:02:33,088 --> 00:02:36,088 their lost rate but to know who is the better overall trader we 244 00:00:59,888 --> 00:01:02,968 Juan is right a lot more often than Steve is when trading but 245 00:01:37,428 --> 00:01:41,148 win or how often you lose and or we need to increase the size 246 00:03:14,028 --> 00:03:17,708 positive reward to risk ratio of 3to1 as on average his 247 00:01:31,468 --> 00:01:34,708 by altering these four elements so we can either improve our 248 00:01:13,588 --> 00:01:16,428 profit expectancy and there are only four elements that 249 00:02:17,168 --> 00:02:20,248 decreases losses so that his winners were then bigger than 250 00:02:20,248 --> 00:02:23,048 his losses which finally gave him a positive profit 251 00:01:06,208 --> 00:01:10,388 missing some key pieces of information having an edge in 252 00:01:16,428 --> 00:01:20,748 determine your edge in the market your win rate your loss 253 00:02:50,088 --> 00:02:54,088 makes an average profit of $1 000 dollars per trade and when 254 00:01:34,708 --> 00:01:37,428 strike rate which is the first two elements so how often you 255 00:01:10,388 --> 00:01:13,588 the market essentially just means that you hold a positive 256 00:00:43,368 --> 00:00:47,448 rate of 75 percent. Steve on the other hand he managed only 257 00:00:51,248 --> 00:00:56,688 strike rate of just 30 percent. So who is the better trader? 258 00:01:02,968 --> 00:01:06,208 to truly determine who is the better overall trader we are 259 00:01:54,908 --> 00:01:57,868 green zero to the roulette wheel which stacked the odds in 260 00:01:57,868 --> 00:02:01,588 their favor ever so slightly to give them an edge by increasing 261 00:00:47,448 --> 00:00:51,248 30 wins and therefore booked seventy losses giving him a 262 00:01:51,948 --> 00:01:54,908 discussed how casinos make money, we saw that they added a 263 00:00:56,688 --> 00:00:59,888 Well based on just these stats alone we can clearly see that 264 00:01:28,388 --> 00:01:31,468 edge in the markets we need to increase our profit expectancy 265 00:00:39,208 --> 00:00:43,368 75 wins and just 25 losses giving him an incredible strike 266 00:01:20,748 --> 00:01:25,148 rate the average profit on your winning trades and the average 267 00:00:25,388 --> 00:00:28,588 which may actually surprise some of you so let's look at 268 00:00:35,128 --> 00:00:39,208 started with the same amount of trading capital. Now Juan took 269 00:00:28,588 --> 00:00:31,388 these two traders Juan and Steve who are battling it out 270 00:00:14,708 --> 00:00:18,068 develop a trading strategy that also has a positive expectancy 271 00:00:05,468 --> 00:00:08,908 mathematical edge is and we have looked at how casinos are 272 00:00:11,748 --> 00:00:14,708 positive edge so now we're going to look at how we can 273 00:00:18,068 --> 00:00:22,028 just like a casino does and we're also going to look at how 274 00:00:22,028 --> 00:00:25,388 important it actually is to be right in trading the answer to 275 00:00:01,088 --> 00:00:05,468 By now you should have a pretty clear understanding on what a 276 00:00:31,388 --> 00:00:35,128 in the markets both of them have 100 trades each and 277 00:00:08,908 --> 00:00:11,748 the masters of the world at exploiting their slight 278 00:14:56,448 --> 00:15:00,688 become vastly easier on your psyche. 26181

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