1 00:00:00,160 --> 00:00:02,320 Speaker 1: But knowledge to work and grow your business with c 2 00:00:02,520 --> 00:00:06,680 Speaker 1: i T from transportation to healthcare to manufacturing. C i 3 00:00:06,760 --> 00:00:10,559 Speaker 1: T offers commercial lending, leasing, and treasury management services for 4 00:00:10,600 --> 00:00:13,480 Speaker 1: small and middle market businesses. Learn more at c i 5 00:00:13,560 --> 00:00:26,799 Speaker 1: T dot com put Knowledge to Work. Hello and welcome 6 00:00:26,840 --> 00:00:31,200 Speaker 1: to another episode of the Odd Lots podcast. I'm Joe 7 00:00:31,200 --> 00:00:34,560 Speaker 1: Wish and I'm Tracy Allow. Tracy, you know, it was 8 00:00:34,600 --> 00:00:38,280 Speaker 1: one of my favorite things that you've written. There's so many, Joe, 9 00:00:38,520 --> 00:00:41,559 Speaker 1: I mean, it's hard to choose because they're all my favorites. 10 00:00:42,159 --> 00:00:44,880 Speaker 1: I really liked your review of the show Billions when 11 00:00:44,880 --> 00:00:47,760 Speaker 1: it first came out, did you. I thought I thought 12 00:00:47,760 --> 00:00:50,160 Speaker 1: we were a little bit opposed on that one because 13 00:00:50,240 --> 00:00:53,080 Speaker 1: I wasn't a big fan of it. But you like it, right, 14 00:00:52,880 --> 00:00:55,960 Speaker 1: I do like the show, but it's that's irrelevant whether 15 00:00:56,040 --> 00:00:58,360 Speaker 1: we agree or disagree on the show. I thought your 16 00:00:58,480 --> 00:01:03,000 Speaker 1: review was very funny and made a lot of a 17 00:01:03,040 --> 00:01:08,880 Speaker 1: lot of good observations, such as, uh, oh, you know 18 00:01:09,200 --> 00:01:12,319 Speaker 1: some things you said about the dialogue and all that stuff. 19 00:01:12,520 --> 00:01:14,240 Speaker 1: It was it was pretty spot on. Well, the thing 20 00:01:14,280 --> 00:01:17,319 Speaker 1: that amazed me was the like, I guess the amount 21 00:01:17,360 --> 00:01:21,240 Speaker 1: of male testosterone on that show and just how like 22 00:01:21,600 --> 00:01:25,880 Speaker 1: blatantly manly some of the trading environment is. But one 23 00:01:25,920 --> 00:01:28,200 Speaker 1: of the things you did point out was some of 24 00:01:28,240 --> 00:01:32,640 Speaker 1: the attempts there were to sort of have some role reversals. 25 00:01:32,720 --> 00:01:35,760 Speaker 1: And I forget exactly who they were what you pointed out, 26 00:01:35,800 --> 00:01:37,840 Speaker 1: but there were some sort of like alpha type characters 27 00:01:37,880 --> 00:01:40,039 Speaker 1: who are women. That's sort of, you know, trying to 28 00:01:40,680 --> 00:01:42,960 Speaker 1: make it a little more interesting. And I think one 29 00:01:43,000 --> 00:01:46,520 Speaker 1: of the sort of most interesting characters on the show 30 00:01:46,720 --> 00:01:50,880 Speaker 1: is uh, Wendy Rhodes, the trading psychologist for ex Capital 31 00:01:51,080 --> 00:01:54,680 Speaker 1: right at the Hedge Fund. So she's basically employed by 32 00:01:54,720 --> 00:01:59,720 Speaker 1: the hedge fund to help the traders in various ways 33 00:01:59,760 --> 00:02:05,200 Speaker 1: yet into top psychological form. And one thing that's that's interesting, 34 00:02:05,320 --> 00:02:07,320 Speaker 1: and a lot of people might not know this is 35 00:02:07,360 --> 00:02:10,799 Speaker 1: that that role kind of actually exists in real life. 36 00:02:10,800 --> 00:02:13,640 Speaker 1: It wasn't just made up. There are people whose job 37 00:02:13,680 --> 00:02:18,720 Speaker 1: it is to help traders get in the top psychological 38 00:02:18,919 --> 00:02:22,160 Speaker 1: you know, psychological performance, right, some of whom have been 39 00:02:22,240 --> 00:02:24,920 Speaker 1: employed at large hedge funds, real life hedge funds like 40 00:02:25,040 --> 00:02:30,160 Speaker 1: Bridgewater exactly. So to cut right to the chase, we 41 00:02:30,200 --> 00:02:32,960 Speaker 1: have Wendy roads On, we don't have Wendy roads On 42 00:02:33,040 --> 00:02:35,760 Speaker 1: We don't have the actors who played Wendy Rhods, but 43 00:02:35,880 --> 00:02:40,040 Speaker 1: we do have someone who actually is kind of Wendy 44 00:02:40,160 --> 00:02:43,400 Speaker 1: Roads in real life, real life trading psychology. Real life 45 00:02:43,480 --> 00:02:46,600 Speaker 1: trading psychologist. Isn't that cool? That's even better. So so 46 00:02:46,639 --> 00:02:50,040 Speaker 1: we're gonna talk about what this job actually entails and 47 00:02:50,080 --> 00:02:53,160 Speaker 1: hopefully learn a few things about how you know, one 48 00:02:53,200 --> 00:02:55,639 Speaker 1: day when you and I Tracey launch our own hedge fund, 49 00:02:55,840 --> 00:02:59,800 Speaker 1: which will happen eventually, I'm sure how we can trade 50 00:03:00,080 --> 00:03:02,920 Speaker 1: with a top psychological performance. Do you think there's like 51 00:03:03,000 --> 00:03:07,320 Speaker 1: a Freudian or a Union interpretation of trading behavior? You better, 52 00:03:07,680 --> 00:03:10,840 Speaker 1: you better ask that question with us. Today we have 53 00:03:11,040 --> 00:03:14,600 Speaker 1: a Dr Brett Steinbarger. He's a political Associate Professor of 54 00:03:14,639 --> 00:03:19,840 Speaker 1: psychiatry and behavioral Sciences at Sunny Upstate Medical University, and 55 00:03:20,600 --> 00:03:24,680 Speaker 1: he is the author of four books on trading psychology. 56 00:03:25,040 --> 00:03:29,040 Speaker 1: He has worked at various hedge funds. He uh advises 57 00:03:29,080 --> 00:03:33,400 Speaker 1: different funds. Still today he trades index futures himself. So 58 00:03:33,639 --> 00:03:46,880 Speaker 1: perfect guest for this topic, Brett steam Barger, thank you 59 00:03:46,960 --> 00:03:49,680 Speaker 1: very much for joining us. Well, thank you for having me. 60 00:03:50,280 --> 00:03:52,080 Speaker 1: I always like to ask this in the beginning because 61 00:03:52,080 --> 00:03:55,960 Speaker 1: I'm very nervous. But was that introduction of fair characterization 62 00:03:56,080 --> 00:04:00,840 Speaker 1: that more or less you are a real life Wendy Rhodes. Well, 63 00:04:00,960 --> 00:04:03,240 Speaker 1: yes and no. I think she's a little more dramatic 64 00:04:03,280 --> 00:04:06,080 Speaker 1: and probably a little better looking than I am. But 65 00:04:07,560 --> 00:04:11,840 Speaker 1: there are some similarities. I think one of the differences, 66 00:04:12,280 --> 00:04:15,200 Speaker 1: and you were talking about this tracy in terms of 67 00:04:15,200 --> 00:04:19,719 Speaker 1: the manliness of the environment, is that it's surprising the 68 00:04:19,880 --> 00:04:25,960 Speaker 1: degree to which professional trading environments have become not so manly, 69 00:04:26,040 --> 00:04:34,120 Speaker 1: have become geeky, and we see evidence of quantification throughout 70 00:04:34,360 --> 00:04:38,320 Speaker 1: the investment world, and so working with traders is a 71 00:04:38,320 --> 00:04:41,800 Speaker 1: little bit less dramatic than working with alpha types. There 72 00:04:41,839 --> 00:04:46,040 Speaker 1: are many different types of money managers now who are 73 00:04:46,120 --> 00:04:50,200 Speaker 1: active within hedge funds and other firms. More big bang 74 00:04:50,240 --> 00:04:53,760 Speaker 1: theory than Wolf of Wall Street. Then, well put, and 75 00:04:53,800 --> 00:04:56,359 Speaker 1: of course that is actually a tension that sort of 76 00:04:56,400 --> 00:05:00,520 Speaker 1: emerges on the show as the as the firm X 77 00:05:00,600 --> 00:05:04,159 Speaker 1: Capital has to sort of adjust to a new reality 78 00:05:04,240 --> 00:05:08,760 Speaker 1: and try new strategies. In terms of the career itself, 79 00:05:08,800 --> 00:05:12,640 Speaker 1: the job Wendy was at one firm, you work for 80 00:05:12,680 --> 00:05:16,760 Speaker 1: several firms or sort of freelance and advised multiple firms, 81 00:05:16,880 --> 00:05:19,640 Speaker 1: but in terms of these sort of okay, she sat 82 00:05:19,680 --> 00:05:22,240 Speaker 1: down with traders and what looks like a very familiar 83 00:05:22,279 --> 00:05:26,720 Speaker 1: clinical therapy type session talking through them. Is that more 84 00:05:26,839 --> 00:05:29,200 Speaker 1: or less how this works? That it sort of looks 85 00:05:29,279 --> 00:05:32,240 Speaker 1: like traditional therapy to people sitting across from each other, 86 00:05:32,560 --> 00:05:35,599 Speaker 1: one person trying to dive in. Is that fairly accurate. 87 00:05:36,920 --> 00:05:39,960 Speaker 1: That's a portion of the role. In other words, I'll 88 00:05:40,040 --> 00:05:43,080 Speaker 1: have one to one meetings with people about their trading 89 00:05:43,160 --> 00:05:47,479 Speaker 1: and about the challenges that they're facing in their trading, 90 00:05:48,040 --> 00:05:51,479 Speaker 1: and so that will look a little more counseling and 91 00:05:51,560 --> 00:05:58,960 Speaker 1: therapy like. Unlike traditional therapy, where you're working on ongoing problems, 92 00:05:59,480 --> 00:06:04,560 Speaker 1: many times, the work of a psychologist in a hedge 93 00:06:04,560 --> 00:06:07,680 Speaker 1: fund or trading firm is more like a coach where 94 00:06:07,680 --> 00:06:12,680 Speaker 1: you're building on strengths. So the dialogue is going to 95 00:06:12,720 --> 00:06:17,320 Speaker 1: be different than in a traditional therapy way. But in addition, 96 00:06:17,560 --> 00:06:21,680 Speaker 1: the psychologist is often on the trading floor and is 97 00:06:21,720 --> 00:06:24,440 Speaker 1: talking to people in real time about what's going on. 98 00:06:25,320 --> 00:06:27,720 Speaker 1: So Brett I wanted to ask what exactly is the 99 00:06:27,760 --> 00:06:30,479 Speaker 1: goal that companies have when they bring you in to 100 00:06:30,720 --> 00:06:34,080 Speaker 1: do this, and how much guidance do you get from 101 00:06:34,080 --> 00:06:36,200 Speaker 1: the people that hire you do they come to you 102 00:06:36,240 --> 00:06:38,400 Speaker 1: and say like, oh, well this trader is good at this, 103 00:06:38,520 --> 00:06:41,839 Speaker 1: but he's had some difficulties with that, and do you 104 00:06:41,960 --> 00:06:46,880 Speaker 1: kind of help them achieve the company's goals? Yes, good question. 105 00:06:47,320 --> 00:06:51,680 Speaker 1: So what will happen is it? I'll work with trading 106 00:06:51,720 --> 00:06:56,240 Speaker 1: firms really in two roles. The first is the Wendy 107 00:06:56,320 --> 00:07:00,440 Speaker 1: Rhodes performance coach kind of role. The other roles a 108 00:07:00,440 --> 00:07:04,800 Speaker 1: little bit different. Where As a psychologist, I help firms 109 00:07:04,880 --> 00:07:10,600 Speaker 1: with their recruitment processes, assessing, evaluating, and bringing on the 110 00:07:10,720 --> 00:07:14,360 Speaker 1: right kinds of people that would fit within their teams 111 00:07:14,400 --> 00:07:18,720 Speaker 1: and with their environments for optimal performance. So that's a 112 00:07:18,760 --> 00:07:23,040 Speaker 1: little bit again different from a therapy like role you 113 00:07:23,120 --> 00:07:26,200 Speaker 1: talked about in the beginning. The sort of changing nature 114 00:07:26,400 --> 00:07:29,960 Speaker 1: of the investment firm. Uh, we're you know, the world 115 00:07:30,000 --> 00:07:33,240 Speaker 1: of billions characterized by a lot of the sort of 116 00:07:33,280 --> 00:07:37,280 Speaker 1: cliche alpha male type characters. As you put it, many 117 00:07:37,320 --> 00:07:40,880 Speaker 1: of these firms are undergoing dramatic changes. The whole industry 118 00:07:40,960 --> 00:07:45,760 Speaker 1: is undergoing dramatic changes to more quantification stuff like that. 119 00:07:46,080 --> 00:07:49,280 Speaker 1: How does that affect their needs for someone like you, 120 00:07:49,400 --> 00:07:52,640 Speaker 1: and how does that affect what you can bring to 121 00:07:52,760 --> 00:07:56,960 Speaker 1: the table? Again, good question, and that gets it at 122 00:07:57,080 --> 00:08:03,080 Speaker 1: something that you're asking us earlier. Sometimes it'll be the 123 00:08:03,600 --> 00:08:06,679 Speaker 1: firm itself, the management that will come to me and say, 124 00:08:06,760 --> 00:08:10,440 Speaker 1: can you help us accomplish X y Z? Can you 125 00:08:10,520 --> 00:08:14,920 Speaker 1: help us build out more effective teams? Can you help 126 00:08:15,080 --> 00:08:19,880 Speaker 1: this trader who's having difficulties? And other times the need, 127 00:08:19,960 --> 00:08:22,239 Speaker 1: and I say most of the time is coming from 128 00:08:22,280 --> 00:08:28,480 Speaker 1: the money manager themselves, saying I could use help with X. 129 00:08:28,760 --> 00:08:31,880 Speaker 1: I'm doing well trading in this market. I would like 130 00:08:32,000 --> 00:08:36,520 Speaker 1: to start to broaden out and trade other markets successfully. 131 00:08:36,559 --> 00:08:40,040 Speaker 1: I'm in a draw down. My confidence is waning. I 132 00:08:40,160 --> 00:08:43,480 Speaker 1: need some help with my confidence. So many times it 133 00:08:43,520 --> 00:08:48,480 Speaker 1: will come from the performer him or herself. One of 134 00:08:48,520 --> 00:08:52,360 Speaker 1: the things in the show Billions. And I know eventually 135 00:08:52,400 --> 00:08:55,440 Speaker 1: we can get past referencing Billions, but I keep mentioning 136 00:08:55,480 --> 00:08:57,160 Speaker 1: you just because you know, it's a frame of reference 137 00:08:57,200 --> 00:09:03,840 Speaker 1: for people um internal tension. So a trader might be 138 00:09:04,120 --> 00:09:08,760 Speaker 1: frustrated with how they're being treated by you know, Bobby 139 00:09:08,800 --> 00:09:13,120 Speaker 1: excel Rod or colleague, or they feel uh, someone else's 140 00:09:13,160 --> 00:09:17,040 Speaker 1: disrespecting them and that influences their psychology. Do things like 141 00:09:17,080 --> 00:09:20,679 Speaker 1: that come up once in a while, it's it's actually 142 00:09:20,760 --> 00:09:24,480 Speaker 1: pretty rare. At least of the firms where I work, 143 00:09:24,840 --> 00:09:32,000 Speaker 1: the management is pretty sophisticated as far as um people 144 00:09:32,000 --> 00:09:35,680 Speaker 1: and people's skills, and so I don't encounter huge amounts 145 00:09:35,720 --> 00:09:39,080 Speaker 1: of frustration. Once in a while, within teams and within 146 00:09:39,120 --> 00:09:41,720 Speaker 1: a firm, there will be some conflicts, and yes, I 147 00:09:41,800 --> 00:09:46,200 Speaker 1: do help people manage those conflicts in a constructive way, 148 00:09:46,559 --> 00:09:49,040 Speaker 1: just like one would do, let's say, in couples counseling. 149 00:09:49,800 --> 00:09:55,920 Speaker 1: But I'd say that's the exception. I think the larger 150 00:09:56,000 --> 00:10:00,280 Speaker 1: issues are the more common issues that money managers face 151 00:10:01,760 --> 00:10:07,240 Speaker 1: when they want to trade in a certain way, but 152 00:10:07,400 --> 00:10:12,760 Speaker 1: the risk management guidelines of the firm um rain them in, 153 00:10:13,080 --> 00:10:15,480 Speaker 1: and so there's a conflict between how they would like 154 00:10:15,520 --> 00:10:18,080 Speaker 1: to manage money and how the firm would like them 155 00:10:18,080 --> 00:10:21,520 Speaker 1: to manage money. I'd love to be a fly on 156 00:10:21,559 --> 00:10:26,160 Speaker 1: the wall for group therapy sessions at like Bridgewater to 157 00:10:26,440 --> 00:10:29,720 Speaker 1: all right, we are going to take a short break. 158 00:10:33,040 --> 00:10:35,199 Speaker 1: But knowledge to work and grow your business with c 159 00:10:35,400 --> 00:10:39,559 Speaker 1: i T from transportation to healthcare to manufacturing. C i 160 00:10:39,640 --> 00:10:43,400 Speaker 1: T offers commercial lending, leasing, and treasury management services for 161 00:10:43,480 --> 00:10:46,360 Speaker 1: small and middle market businesses. Learn more at c i 162 00:10:46,440 --> 00:10:55,000 Speaker 1: T dot com. Put knowledge to work and we're back, Brett, 163 00:10:55,200 --> 00:10:58,840 Speaker 1: I'm wondering, I'd love to just drill down before we 164 00:10:58,880 --> 00:11:01,640 Speaker 1: move on to other things, in to the exact problems 165 00:11:01,640 --> 00:11:04,160 Speaker 1: that traders tend to have, Like, I know you mentioned 166 00:11:04,400 --> 00:11:08,560 Speaker 1: confidence as one of them. So give us some more 167 00:11:08,559 --> 00:11:11,800 Speaker 1: examples of the issues trader as my encounter and how 168 00:11:12,160 --> 00:11:17,880 Speaker 1: you might encourage them to rectify those problems. Yeah. So, 169 00:11:17,960 --> 00:11:22,240 Speaker 1: I would say there are three major classes of need 170 00:11:22,880 --> 00:11:27,800 Speaker 1: that bring a money manager to a performance coach like myself. 171 00:11:28,360 --> 00:11:33,040 Speaker 1: The first is if they're having difficulties with performance because 172 00:11:33,280 --> 00:11:38,200 Speaker 1: of their trading and investing. Something is going wrong with 173 00:11:38,360 --> 00:11:44,480 Speaker 1: how they are managing capital. Sometimes it's because markets have 174 00:11:44,600 --> 00:11:51,080 Speaker 1: changed and the trader has not adapted very well. Sometimes 175 00:11:51,200 --> 00:11:57,240 Speaker 1: it's because emotional factors, frustrations or maybe over confidence. Maybe 176 00:11:57,280 --> 00:12:00,440 Speaker 1: they've gone on a run and so out of over confidence, 177 00:12:00,480 --> 00:12:04,880 Speaker 1: they're making some impulsive decisions, suboptimal decisions that are now 178 00:12:05,000 --> 00:12:10,600 Speaker 1: causing them to lose money. So those are all situations 179 00:12:10,760 --> 00:12:15,600 Speaker 1: in which performance is hurting and the money manager will 180 00:12:15,640 --> 00:12:19,360 Speaker 1: reach out to a coach. How do you differentiate though, 181 00:12:19,440 --> 00:12:23,240 Speaker 1: between someone just being a bad trader and putting on 182 00:12:23,360 --> 00:12:27,520 Speaker 1: bad trades and their performance being affected by emotional or 183 00:12:27,520 --> 00:12:32,280 Speaker 1: psychological issues A good question, yes, uh, And that is 184 00:12:32,679 --> 00:12:35,120 Speaker 1: more of an issue if you're working at a firm 185 00:12:35,240 --> 00:12:40,000 Speaker 1: that employs beginning traders. At the funds where I work, 186 00:12:40,800 --> 00:12:45,640 Speaker 1: the minimum portfolio size is hundreds of billions of dollars 187 00:12:45,720 --> 00:12:49,880 Speaker 1: and you need a multi year successful track record just 188 00:12:49,960 --> 00:12:53,640 Speaker 1: to get the job. So the issue of them just 189 00:12:53,760 --> 00:12:56,000 Speaker 1: being a bad trader and not knowing what they're doing 190 00:12:56,760 --> 00:12:58,920 Speaker 1: is less of an issue than if you were working, 191 00:12:59,000 --> 00:13:01,600 Speaker 1: let's say, at a proprietor harry trading firm where someone 192 00:13:01,920 --> 00:13:05,040 Speaker 1: could be trading for the first time ever. So you 193 00:13:05,080 --> 00:13:08,800 Speaker 1: do have to differentiate in that latter situation when it's 194 00:13:08,840 --> 00:13:12,200 Speaker 1: a matter of skill or lack of skill, and when 195 00:13:12,240 --> 00:13:17,520 Speaker 1: it's a matter of just situational emotions getting in a way. However, 196 00:13:17,640 --> 00:13:21,079 Speaker 1: what I'm also bringing up is there's a third possibility, 197 00:13:21,120 --> 00:13:27,040 Speaker 1: which is that markets themselves have changed, and that as 198 00:13:27,080 --> 00:13:31,680 Speaker 1: a result of different volatility, different trend to shift in 199 00:13:31,720 --> 00:13:36,800 Speaker 1: the market now creates situations where what worked or what 200 00:13:37,080 --> 00:13:40,160 Speaker 1: used to work in the market now is not working, 201 00:13:40,679 --> 00:13:44,120 Speaker 1: and that leads to frustrations, and that leads to drawdowns. 202 00:13:45,080 --> 00:13:51,760 Speaker 1: So sometimes emotional issues trigger trading problems, but sometimes changes 203 00:13:51,880 --> 00:13:57,280 Speaker 1: in markets can trigger emotional Let's some talk about let's 204 00:13:57,280 --> 00:14:00,160 Speaker 1: get into some specifics. So imagine Tracy and I are 205 00:14:00,160 --> 00:14:03,840 Speaker 1: going to launch our hedge fund one day odd Lots Capital, 206 00:14:03,840 --> 00:14:06,400 Speaker 1: which is actually a pretty good name, which is pretty 207 00:14:06,400 --> 00:14:11,880 Speaker 1: good name for our hedge fund. Um. Let's imagine we 208 00:14:11,880 --> 00:14:13,800 Speaker 1: already we already know we're pretty good. I don't know 209 00:14:13,800 --> 00:14:16,079 Speaker 1: how we would establish a track record, but obviously it 210 00:14:16,120 --> 00:14:19,560 Speaker 1: would be pretty good. We're sort of abstracting that a way, 211 00:14:19,600 --> 00:14:21,960 Speaker 1: but we're in a bit of a rut. What are 212 00:14:22,160 --> 00:14:24,560 Speaker 1: you know, let's talk about what can Tracy and I? 213 00:14:24,680 --> 00:14:28,160 Speaker 1: How would you start to figure out how we'd get 214 00:14:28,200 --> 00:14:31,480 Speaker 1: into peak performance? How what are the things that you 215 00:14:31,480 --> 00:14:34,480 Speaker 1: would start to look for, the techniques that we could 216 00:14:34,560 --> 00:14:38,520 Speaker 1: use to get into a good mental state. Well, let 217 00:14:38,560 --> 00:14:41,320 Speaker 1: me step back. It's a great question, and let me 218 00:14:41,360 --> 00:14:45,240 Speaker 1: step back and mention. Something I've done at several trading 219 00:14:45,280 --> 00:14:50,560 Speaker 1: firms to help with their peak performance is to conduct 220 00:14:50,640 --> 00:14:57,120 Speaker 1: research projects where we intensively study their peak performers. So 221 00:14:57,200 --> 00:15:03,040 Speaker 1: we take a look and investigate the personality factors, the 222 00:15:03,160 --> 00:15:10,400 Speaker 1: skill factors, and the cognitive strengths that differentiate their best 223 00:15:10,440 --> 00:15:15,720 Speaker 1: traders from average traders. And so we look at what 224 00:15:15,840 --> 00:15:19,640 Speaker 1: makes for success in that particular fund or in that 225 00:15:19,680 --> 00:15:24,760 Speaker 1: particular firm, and that then can inform the types of 226 00:15:24,880 --> 00:15:27,960 Speaker 1: qualities you want to coach for, but also the kind 227 00:15:28,000 --> 00:15:32,480 Speaker 1: of qualities you would look for in your recruitment processes. 228 00:15:34,960 --> 00:15:37,720 Speaker 1: So um, in your research, I know it varies firm 229 00:15:37,760 --> 00:15:40,680 Speaker 1: to firm, but are there some general characteristics that seem 230 00:15:40,760 --> 00:15:45,920 Speaker 1: to make a strong trader. There are definitely some personality 231 00:15:46,000 --> 00:15:51,760 Speaker 1: and cognitive factors that seem to go along with good trading, 232 00:15:52,320 --> 00:15:55,440 Speaker 1: and it does seem as though different kinds of trading 233 00:15:56,200 --> 00:16:02,960 Speaker 1: call upon different skill sets. So, for example, among day 234 00:16:02,960 --> 00:16:08,280 Speaker 1: traders who are trading actively throughout the day, one of 235 00:16:08,320 --> 00:16:14,320 Speaker 1: the most important things to look for is both fast thinking, 236 00:16:14,480 --> 00:16:19,440 Speaker 1: fast processing of information and parallel processing of information, the 237 00:16:19,480 --> 00:16:23,440 Speaker 1: ability to look at and process many things at one time. 238 00:16:24,920 --> 00:16:28,840 Speaker 1: Much of what they are doing amounts to pattern recognition, 239 00:16:29,640 --> 00:16:32,960 Speaker 1: and so they need to be able to rapidly process 240 00:16:33,000 --> 00:16:38,200 Speaker 1: information to detect patterns. That's extremely different. Let's say from 241 00:16:38,320 --> 00:16:44,000 Speaker 1: a macro hedge fund investor who is doing deep dives 242 00:16:44,080 --> 00:16:47,880 Speaker 1: into macro economic statistics to figure out where there is 243 00:16:47,960 --> 00:16:52,400 Speaker 1: greater strength and lesser strength in global economies and then 244 00:16:52,720 --> 00:16:57,400 Speaker 1: formulating investment ideas on that basis, that's deeper thinking, not 245 00:16:57,600 --> 00:17:02,120 Speaker 1: fast thinking, and so in the setting, the deep thinking 246 00:17:02,600 --> 00:17:05,800 Speaker 1: is a big part of the investment success. That what 247 00:17:05,840 --> 00:17:08,680 Speaker 1: you said about day traders actually makes me realize something 248 00:17:08,800 --> 00:17:11,320 Speaker 1: years ago, after I graduated college, I actually applied for 249 00:17:11,359 --> 00:17:15,280 Speaker 1: a job at a proprietary trading firm. Uh. And one 250 00:17:15,359 --> 00:17:17,720 Speaker 1: of the things they had me do during the interview 251 00:17:18,280 --> 00:17:21,640 Speaker 1: was play a video game, but then on another screen. 252 00:17:21,920 --> 00:17:24,199 Speaker 1: While playing the video game, I had to occasionally, like 253 00:17:24,240 --> 00:17:26,760 Speaker 1: answer a trivia question that had nothing to do with 254 00:17:26,800 --> 00:17:29,320 Speaker 1: the video game. And so it's a combination of could 255 00:17:29,320 --> 00:17:32,119 Speaker 1: I focus on X, but also be aware that X 256 00:17:32,240 --> 00:17:36,000 Speaker 1: or why was going on at the same time. Um So, 257 00:17:36,119 --> 00:17:38,159 Speaker 1: now I realized what they were going for, So thank you. 258 00:17:38,240 --> 00:17:42,000 Speaker 1: I've always been that was That sounds like a pretty 259 00:17:42,160 --> 00:17:47,080 Speaker 1: interesting screening going for fast thinking and parallel processing. We'll 260 00:17:47,200 --> 00:17:50,639 Speaker 1: use that for our recruitment. Yeah, exactly. I also had 261 00:17:50,680 --> 00:17:54,440 Speaker 1: to play ping Pong against the CEO during that interview. Well, 262 00:17:54,920 --> 00:17:57,679 Speaker 1: that's testing your social skills to see if you let 263 00:17:57,800 --> 00:18:00,600 Speaker 1: him win. All right, we just have a couple of 264 00:18:00,640 --> 00:18:03,560 Speaker 1: minutes here left, but I want to get some really 265 00:18:03,600 --> 00:18:08,760 Speaker 1: general things. So you've written some books about trading. So 266 00:18:08,800 --> 00:18:11,520 Speaker 1: obviously a reader of those books you don't know like 267 00:18:11,600 --> 00:18:15,080 Speaker 1: exactly the situation the reader is in. What are two 268 00:18:15,200 --> 00:18:17,639 Speaker 1: or three basic pieces of advice you could give to 269 00:18:17,680 --> 00:18:21,480 Speaker 1: a prospective trader that they could use to reset themselves 270 00:18:21,560 --> 00:18:26,119 Speaker 1: and get them uh in a good uh good psychological state. Well, 271 00:18:26,200 --> 00:18:29,560 Speaker 1: you know. Per my most recent book, The Trading Psychology 272 00:18:29,600 --> 00:18:33,480 Speaker 1: two point oh, I make the point the trading psychology 273 00:18:33,520 --> 00:18:38,000 Speaker 1: is about much more than just solving emotional problems and 274 00:18:38,119 --> 00:18:45,840 Speaker 1: challenges right now, that the greatest challenge facing traders, investors, 275 00:18:45,880 --> 00:18:50,600 Speaker 1: investment firms is the correlation among the performers. People are 276 00:18:50,680 --> 00:18:53,240 Speaker 1: looking at the same things, putting on the same trades, 277 00:18:53,359 --> 00:19:00,000 Speaker 1: developing the same investment ideas. That correlation doesn't allow trade 278 00:19:00,040 --> 00:19:04,240 Speaker 1: leader or trading firm to truly stand out. They become 279 00:19:04,280 --> 00:19:07,080 Speaker 1: part of the herd and it hurts their performance. And 280 00:19:07,200 --> 00:19:10,560 Speaker 1: so what we see in trading psychology is that the 281 00:19:10,600 --> 00:19:18,720 Speaker 1: best performers are cultivating creativity. They are developing ways of 282 00:19:18,800 --> 00:19:24,600 Speaker 1: looking at markets in unique fashion so that they see 283 00:19:24,680 --> 00:19:27,879 Speaker 1: things that other people don't see. They see opportunities that 284 00:19:27,920 --> 00:19:32,760 Speaker 1: others don't detect, and that gives them some uniqueness to 285 00:19:32,880 --> 00:19:37,679 Speaker 1: their returns. That ends up being very, very very important 286 00:19:38,280 --> 00:19:41,399 Speaker 1: now because they have to look for unique opportunities in 287 00:19:41,480 --> 00:19:46,240 Speaker 1: different markets, different time frames. What we see is that 288 00:19:46,480 --> 00:19:52,000 Speaker 1: individual traders increasingly are building out teams. They are hiring 289 00:19:52,280 --> 00:19:54,879 Speaker 1: junior people to work with them who have some of 290 00:19:54,880 --> 00:19:58,520 Speaker 1: the skill sets and perspectives and expertise that they might lack, 291 00:20:00,040 --> 00:20:05,200 Speaker 1: And so increasingly the good money managers are called upon 292 00:20:05,560 --> 00:20:09,240 Speaker 1: to become good people managers, and that never used to 293 00:20:09,280 --> 00:20:15,000 Speaker 1: happen before. So trading psychology has expanded. It's about enhancing creativity, 294 00:20:15,240 --> 00:20:19,320 Speaker 1: it's about enhancing leadership and people's skills, not just about 295 00:20:19,320 --> 00:20:22,840 Speaker 1: controlling your emotions. But if I could just um play 296 00:20:22,920 --> 00:20:25,480 Speaker 1: Devil's advocate for one moment, you know, you mentioned the 297 00:20:25,520 --> 00:20:29,000 Speaker 1: way that markets have evolved and changed over the years, 298 00:20:29,040 --> 00:20:31,439 Speaker 1: and it does seem like the emphasis now is on 299 00:20:31,560 --> 00:20:36,720 Speaker 1: quantitative trading, it's on systematic trading. So you know, how 300 00:20:36,800 --> 00:20:41,320 Speaker 1: much does getting the psychology or someone's personality right actually 301 00:20:41,440 --> 00:20:45,880 Speaker 1: matter when it comes to performance anymore. It's a great question. 302 00:20:45,960 --> 00:20:49,240 Speaker 1: And I work with some quantitative firms and so it's 303 00:20:49,280 --> 00:20:52,840 Speaker 1: been very interesting for me to see the differences in 304 00:20:52,880 --> 00:20:57,560 Speaker 1: how psychology is employed at one firm versus another. When 305 00:20:57,600 --> 00:21:02,359 Speaker 1: a firm is more quantity, it is than a huge 306 00:21:02,480 --> 00:21:05,240 Speaker 1: part of their work is research and development. They are 307 00:21:05,280 --> 00:21:09,520 Speaker 1: really R and D firms. They are constantly researching, developing 308 00:21:09,520 --> 00:21:14,280 Speaker 1: new ideas, almost like a pharmaceutical firm. And so work 309 00:21:14,400 --> 00:21:19,560 Speaker 1: with them on enhancing their creative processes. Helping them work 310 00:21:19,600 --> 00:21:24,480 Speaker 1: more effectively as a team becomes important, rather than working 311 00:21:24,520 --> 00:21:27,560 Speaker 1: with them because they're becoming frustrated because the first two 312 00:21:27,560 --> 00:21:31,919 Speaker 1: trades they placed in the morning didn't work out. Fascinating stuff. Uh. 313 00:21:32,160 --> 00:21:35,840 Speaker 1: Dr Bret Steenbarger a real life trading coach and a 314 00:21:35,920 --> 00:21:41,080 Speaker 1: professor of psychiatry and behavioral sciences, the author of four books. 315 00:21:41,119 --> 00:21:43,920 Speaker 1: Thank you so much, really appreciate you coming on. Now. 316 00:21:43,960 --> 00:21:46,159 Speaker 1: I want to download all your books to my Kindle 317 00:21:46,320 --> 00:21:48,440 Speaker 1: and read them and so I know what I'm gonna 318 00:21:48,480 --> 00:21:51,760 Speaker 1: do this weekend. Well good, and now I want to 319 00:21:51,800 --> 00:21:54,280 Speaker 1: invest in the Odd Lots hedge fund. This is great, 320 00:21:54,800 --> 00:21:58,000 Speaker 1: that perfect synergy. Thank you, thank you so much for 321 00:21:58,040 --> 00:22:00,040 Speaker 1: coming on. Thank you. Okay, thanks a lot, and I I 322 00:22:00,080 --> 00:22:12,840 Speaker 1: appreciate it so Tracy, I'm pretty excited about our hedge 323 00:22:12,880 --> 00:22:15,880 Speaker 1: find No, seriously, we always joke about like different things 324 00:22:15,920 --> 00:22:17,879 Speaker 1: we're gonna do. We're gonna go play to go to 325 00:22:17,880 --> 00:22:20,639 Speaker 1: a casino and teach you play poker. We're gonna go. 326 00:22:20,720 --> 00:22:24,320 Speaker 1: He tried catfish in Louisiana, and you know, we can 327 00:22:24,400 --> 00:22:26,720 Speaker 1: achieve all those things in one go. We start a 328 00:22:26,800 --> 00:22:30,159 Speaker 1: hedge fund in Louisiana where we have fried catfish for 329 00:22:30,280 --> 00:22:33,919 Speaker 1: lunch and we test our potential employees by playing poker 330 00:22:34,000 --> 00:22:38,600 Speaker 1: with them. Is perfect. No, But I did really enjoy 331 00:22:38,880 --> 00:22:41,720 Speaker 1: that conversation. One. I just it's cool to like hear 332 00:22:41,760 --> 00:22:44,159 Speaker 1: about what that job is in real life. And I 333 00:22:44,200 --> 00:22:49,399 Speaker 1: really thought that was interesting, this idea. There's more to psychology, 334 00:22:49,480 --> 00:22:52,919 Speaker 1: uh than just sort of emotional state, that perspective that 335 00:22:53,000 --> 00:22:55,760 Speaker 1: it's one of the sort of ways you bring value 336 00:22:55,760 --> 00:22:57,880 Speaker 1: to a firm or anything. Is not just falling into 337 00:22:57,920 --> 00:23:00,800 Speaker 1: a groove and not just doing what everyone else does. 338 00:23:01,080 --> 00:23:04,440 Speaker 1: And we as we know from humans being social animals, 339 00:23:04,520 --> 00:23:06,720 Speaker 1: that's actually a really hard thing to avoid. Yeah, and 340 00:23:06,760 --> 00:23:09,959 Speaker 1: it's like, I guess it's fairly obvious, but it seems 341 00:23:10,040 --> 00:23:12,399 Speaker 1: it's interesting to me that one of the factors that 342 00:23:12,400 --> 00:23:16,680 Speaker 1: can affect performances loss of confidence. And then I imagine Brett, 343 00:23:16,760 --> 00:23:20,199 Speaker 1: you know, in a room with someone going yeah, you're okay, 344 00:23:20,280 --> 00:23:22,920 Speaker 1: you can do this well. It's also it's when someone 345 00:23:23,000 --> 00:23:26,560 Speaker 1: loses confidence, and I've seen that happen in different realms 346 00:23:26,560 --> 00:23:30,840 Speaker 1: and life, and it's a really hard thing to because 347 00:23:30,920 --> 00:23:34,600 Speaker 1: the skill hasn't changed well. And it's also because it's 348 00:23:34,600 --> 00:23:37,640 Speaker 1: like it's kind of like telling someone who's to relax. 349 00:23:37,840 --> 00:23:40,040 Speaker 1: You know, if someone's really anxious and you tell them 350 00:23:40,080 --> 00:23:44,159 Speaker 1: to relax, it accomplishes the exact opposite. And so if 351 00:23:44,160 --> 00:23:46,680 Speaker 1: someone loses confidence and the next thing you know, they're 352 00:23:46,680 --> 00:23:49,960 Speaker 1: in a room, it's that's like it could be very 353 00:23:50,000 --> 00:23:52,040 Speaker 1: hard to snap out of that. Yeah, and then you 354 00:23:52,040 --> 00:23:55,080 Speaker 1: have the opposite problem of overconfidence, which I'm pretty sure 355 00:23:55,119 --> 00:23:56,960 Speaker 1: is what a lot of the characters on Billions seem 356 00:23:57,040 --> 00:23:59,320 Speaker 1: to suffer from. Yeah, I think that's I think that's 357 00:23:59,359 --> 00:24:01,480 Speaker 1: well put. All right, should we leave it there? Let's 358 00:24:01,520 --> 00:24:05,520 Speaker 1: leave it there. This has been another episode of The 359 00:24:05,560 --> 00:24:09,560 Speaker 1: Odd Lots Podcast. I'm Joe Wisenthal and I'm Tracy Alloway. 360 00:24:09,640 --> 00:24:12,280 Speaker 1: You can follow me on Twitter at Tracy Alloway, and 361 00:24:12,280 --> 00:24:14,800 Speaker 1: you can follow me on Twitter at the Stalwarts. You 362 00:24:14,800 --> 00:24:18,600 Speaker 1: can also follow our guest Bred Steenbarger on Twitter at 363 00:24:18,760 --> 00:24:24,280 Speaker 1: steen bab and our producer Sarah Patterson at Sarah pat two. Teas. 364 00:24:24,560 --> 00:24:36,440 Speaker 1: Thanks for listening, but knowledge to work and grow your 365 00:24:36,480 --> 00:24:41,000 Speaker 1: business with c i T. From transportation to healthcare to manufacturing. 366 00:24:41,200 --> 00:24:44,600 Speaker 1: C i T offers commercial lending, leasing, and treasury management 367 00:24:44,640 --> 00:24:48,000 Speaker 1: services for small and middle market businesses. Learn more at 368 00:24:48,000 --> 00:24:50,480 Speaker 1: c i T dot com put knowledge to work