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The Woman Who Beat 99.6% Of Hedge Funds: OrderFlow Is Noise! THIS Is 90% Of The Game! — Transcript

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  1. 0:00This trader has been day trading the S&P
  2. 0:02since the day it was born. Ran a $300
  3. 0:05million fund whose 5-year returns beat
  4. 0:0899.7% of hedge funds on the planet. And
  5. 0:11over a dozen legends on the show told me
  6. 0:13the same thing. Linda is one of the most
  7. 0:16iconic traders of this generation. The
  8. 0:18biggest players are very, very good at
  9. 0:20disguising their movement and they're
  10. 0:22not going in and out like an elephant.
  11. 0:24You're not going to be able to see what
  12. 0:25the hell they're doing. They might be
  13. 0:27going through multiple accounts,
  14. 0:28multiple firms. So, you're going to tell
  15. 0:30me that as a little pee on human, we're
  16. 0:33sitting here in our chair trying to make
  17. 0:34stuff out of order flow when you've got
  18. 0:37so much noise in the markets that is
  19. 0:40generated by little algorithms pinging
  20. 0:42left and right. It's a very misguided
  21. 0:44type of game to play. Introducing Linda
  22. 0:47Rashki, a market wizard, best-selling
  23. 0:49author, and former floor market maker.
  24. 0:52And she's the inventor of several
  25. 0:53technical setups like the total soup and
  26. 0:56holy grail strategies. And unlike the
  27. 0:58other 9 figureure traders I've sat down
  28. 1:00with who hold trades for months or
  29. 1:02years, Linda is in and out within hours
  30. 1:04or days just like you and me. Anytime
  31. 1:06you have a volume spike, okay, just an
  32. 1:10intraday volume spike. Go down on a one
  33. 1:13minute chart. See exactly where that
  34. 1:16volume came in. 80% of the time it's
  35. 1:19going to be on a previous intraday swing
  36. 1:21high or swing low. So what does that
  37. 1:24tell you? the algos are at work because
  38. 1:26there are a lot of algos out there that
  39. 1:28trigger off of a channel high or a
  40. 1:31channel low getting penetrated and then
  41. 1:33what they can do I know cuz I've done
  42. 1:35this all right I'll tell you all my
  43. 1:38secrets the algo can initiate
  44. 1:42if you are a discretionary trader and
  45. 1:45you are losing money you must cut
  46. 1:48[music] back your size because something
  47. 1:50is wrong either you're not getting
  48. 1:52enough sleep at night or there's has
  49. 1:54been a regime change and you haven't
  50. 1:56recognized that you're making too many
  51. 1:59unforced errors and getting sloppy.
  52. 2:01Something is wrong. So, you need to cut
  53. 2:04back your size until you can regroup and
  54. 2:06figure out why that draw down occurred.
  55. 2:09Everybody's going to have six losers in
  56. 2:11a row. That's a given. Even with a 90%
  57. 2:13win rate, you will have six losers in a
  58. 2:15row. So, you have to allow for that in
  59. 2:17your sizing just to begin with. Now,
  60. 2:19when you are trading a system, the last
  61. 2:22thing you want to do is cut back your
  62. 2:24size when you're going into a draw down
  63. 2:26because that's when it's ready to spring
  64. 2:29and have a big win again. So, they're
  65. 2:31two opposite schools of approach there.
  66. 2:34Both have very good groundings in their
  67. 2:36math. In this episode, Linda reveals the
  68. 2:38exact test you can run on your own chart
  69. 2:40today that shows you exactly where the
  70. 2:42algorithms are firing, why she thinks
  71. 2:44most traders are lied to about the
  72. 2:46realities of trading order flow, and why
  73. 2:48the most profitable traders in history
  74. 2:51hold their trades for less than a day.
  75. 2:53These algorithms are helping us in the
  76. 2:55sense of they provide liquidity. But
  77. 2:56unless I can understand them, their
  78. 2:58behaviors, their tendencies, the
  79. 2:59footprints they leave, does it leave any
  80. 3:01useful information for me? I'm trying to
  81. 3:02basically understand what is it in price
  82. 3:04action that I can latch on to say this
  83. 3:05is a signal. this is useful, this is
  84. 3:07predictive, these are the things I
  85. 3:08should be looking out for.
  86. 3:10>> So there's several ways that we can
  87. 3:12overcome this problem. Okay. The first
  88. 3:16way is
  89. 3:20I want to start off with some beliefs
  90. 3:21that you have that are I want to say
  91. 3:23contrarian. I'm aligned with you which I
  92. 3:25which which is why I'm really excited.
  93. 3:27But um first of all this idea that when
  94. 3:29I speak to these big money managers and
  95. 3:30these professionals and these veterans
  96. 3:33their approach seems to be very I want
  97. 3:35to say primitive technicals very as
  98. 3:37simple as just a breakout and the edge
  99. 3:39seems to be in trend following on
  100. 3:41longtime horizons and maybe by extension
  101. 3:43of sentiment positioning and macro
  102. 3:46whereas yourself you also were a money
  103. 3:48manager you're you're in the same crowd
  104. 3:49I want to say in fact better than most
  105. 3:52uh yet you are a proponent of shorter
  106. 3:54time horizons uh proverbly saying that
  107. 3:56the crystal ball gets foggy if if you
  108. 3:58try to look too far into the future. So
  109. 4:00then it sounds like the average retail
  110. 4:02trader we are on the lower time frames.
  111. 4:03We are intraday day trading and scalping
  112. 4:06and XY Z. First of all, bird's eye view,
  113. 4:09why does that disparity seem to exist in
  114. 4:10the industry where the average retail
  115. 4:12trader is on shorter time horizons yet
  116. 4:14the average pro seems to be on longer
  117. 4:16time horizons. And why have you decided
  118. 4:17to be on this side of the fence?
  119. 4:20>> Maybe it's the people you're
  120. 4:21interviewing. I don't know. Um but you
  121. 4:23know there are uh some of the biggest
  122. 4:26and best funds in the world with the
  123. 4:29best performance ever. Renaissance
  124. 4:31Medallion Fund they have a under 24hour
  125. 4:34holding time. You know I mean um Monroe
  126. 4:38Trout under 24-hour holding time. You
  127. 4:41know Toby CrarAel was very shortterm.
  128. 4:43All these players are very very short
  129. 4:44term. A lot of them keep a low profile
  130. 4:47and it doesn't necessarily behoove your
  131. 4:50audience to try to understand what they
  132. 4:53do because it's it's they're working
  133. 4:5520,000 different strategies across every
  134. 4:58market in the world on very short
  135. 5:00duration time frame. And so it's really
  136. 5:02a game of infrastructure buildout. Your
  137. 5:06data engineers you have it's just a
  138. 5:08whole different style. Um, a lot of the
  139. 5:12trend followers were trend followers in
  140. 5:14the late 70s, you know, and early 80s.
  141. 5:17That's when they really made their big
  142. 5:18money and when Richard Dennis came on
  143. 5:20board and stuff like that. Now, trend
  144. 5:23followers have had some very miserable
  145. 5:26years. I think they've been having
  146. 5:28excellent years the last couple years. I
  147. 5:31follow a couple of them. A couple of
  148. 5:32them are good friends. It's not
  149. 5:35necessarily a style that was going to
  150. 5:37work for an individual unless they have
  151. 5:40an obscene amount of capital because you
  152. 5:43need to be able to cover n number of
  153. 5:46markets at the same time allocating
  154. 5:49enough capital because if you're doing
  155. 5:5120 markets, three of them might make
  156. 5:54your year. You see, so it takes a lot of
  157. 5:56discipline, a strong belief.
  158. 5:59Almost every trend follower out there
  159. 6:02and the systems themselves have had 40%
  160. 6:05drawdowns at one period. And I don't
  161. 6:08think your average individual would want
  162. 6:11to sit through that. So
  163. 6:15getting into the I want today's
  164. 6:17conversation to uncover truths in the
  165. 6:18markets. Naturally, we can get into
  166. 6:20trade models and techniques, but also
  167. 6:22understanding the why of why do things
  168. 6:24work. I want to understand why does
  169. 6:27first of all, does past price help us
  170. 6:29predict future price? I think that's one
  171. 6:30truth I'd like to uncover.
  172. 6:33Well, it depends on how far out you want
  173. 6:35to predict. There is a positive
  174. 6:37expectation. If I am just predicting one
  175. 6:40or two bars, I can get a positive
  176. 6:43expectation. All right. So with that
  177. 6:45sense uh yes you know is it the first
  178. 6:49bar low to high after three bars high to
  179. 6:52low? I don't care if you're looking at
  180. 6:53five minute charts or daily charts there
  181. 6:55is a slight edge in looking for a bit of
  182. 6:58follow through. Okay but it you know
  183. 7:02predicting is an evil word.
  184. 7:05>> What is a better word? Um,
  185. 7:09predicting implies to me looking out for
  186. 7:13a either certain target, okay, or a
  187. 7:16certain duration. And the longer that
  188. 7:19you are in the market, there's more
  189. 7:21variables that can get introduced into
  190. 7:24this system. It's not a closed system.
  191. 7:27So you don't know if there's going to be
  192. 7:28a tsunami or a nuclear blast or you know
  193. 7:31a new invention or a new you know drug
  194. 7:34discovery or you know all these
  195. 7:36different things. It's a hard time
  196. 7:39horizon to uh have a good confidence
  197. 7:43factor in
  198. 7:45>> simply to say that the degree of
  199. 7:47certainty decays upon greater time
  200. 7:49horizons because
  201. 7:50>> so eloquent you say it so much better.
  202. 7:53>> Just to summarize it [laughter]
  203. 7:54I'm a proponent of this.
  204. 7:56>> Okay. Uh but I also want to understand
  205. 7:57why uh is it the way I've rationalized
  206. 8:00it and I may be wrong is when a large
  207. 8:03player gets in they create some sort of
  208. 8:05market impact which creates certain
  209. 8:07waves in the markets that I can
  210. 8:08temporarily ride. I saw if these waves
  211. 8:10that might last a day might last a
  212. 8:12couple of days and if I'm to then
  213. 8:14predict if that's going to create a
  214. 8:17whole trend for the next 6 months I
  215. 8:19don't know feels like a flip of a coin.
  216. 8:21Uh so therefore I feel like the
  217. 8:22advantage for a retail trader is on the
  218. 8:24shorter time horizons if I can correctly
  219. 8:26read where the greater players are uh
  220. 8:28placing orders in the markets. Would
  221. 8:29that be an appropriate way to view
  222. 8:31things?
  223. 8:32>> No, I don't want I think it's very
  224. 8:34difficult to know who is doing what and
  225. 8:37play this guessing game. You can't do
  226. 8:39that. Um Perry Kaufman's thesis is that
  227. 8:42there are so many different players in
  228. 8:45the markets now on different time
  229. 8:46horizons and sizes and billiondoll funds
  230. 8:50and you know the financial pools owned
  231. 8:53you know in private wealth funds and and
  232. 8:57you know and then the short-term
  233. 8:58algorithmic trading and the retail and
  234. 9:00the commercials. It's like I don't want
  235. 9:03to play a guessing game of who's doing
  236. 9:05what. And that's exactly what I'm doing
  237. 9:06because the guys that are the biggest
  238. 9:08players are very very good at dis
  239. 9:10disguising their um movement and they're
  240. 9:13not going in and out like an elephant.
  241. 9:16You know, they're always tweaking and
  242. 9:18adjusting and doing all these little
  243. 9:19things.
  244. 9:20>> What do you mean disguising their
  245. 9:21position?
  246. 9:22>> You're not going to be able to see what
  247. 9:24the hell they're doing. They might be
  248. 9:25going through multiple accounts,
  249. 9:26multiple firms, multiple uh, you know,
  250. 9:30all sorts of ways. If you think you can
  251. 9:33read that, you're crazy. You know,
  252. 9:35certainly we can read a volume spike and
  253. 9:38so forth, but um, let me just give you
  254. 9:40an example. If you have Fidelity an a
  255. 9:44mutual fund, right, and they have a very
  256. 9:47large position in a particular stock,
  257. 9:49and this is just a really boring mutual
  258. 9:51fund, okay? It can take them two weeks
  259. 9:55just to get that position reduced
  260. 9:58>> by 50%.
  261. 10:00They don't have the flexibility to go in
  262. 10:03and out like a retail trader might. You
  263. 10:08see? So yeah, they're dinosaurs and and
  264. 10:12with regards to that, you as an
  265. 10:13individual should perceive that as an
  266. 10:15edge to your favor in that you can take
  267. 10:18advantage of liquidity where they
  268. 10:20cannot.
  269. 10:22>> By liquidity, you mean the ability to be
  270. 10:24nimble and enter and exit very quickly.
  271. 10:27>> Hey, if I want to bang out a 20 lot at
  272. 10:29the market, I'm not going to get
  273. 10:30slippage. [laughter]
  274. 10:32>> Certainly can't do that in some markets.
  275. 10:34If I wanted to bang out 10,000, it ain't
  276. 10:36going to happen these days.
  277. 10:38It makes sense. You're you're you're
  278. 10:41mentioning here that the institution
  279. 10:42will break up their order and try to
  280. 10:44disguise it. And I I've come to learn
  281. 10:45about dark pools where another guest
  282. 10:47said that whatever makes it to the order
  283. 10:48flow is exhaust fumes. Majority
  284. 10:50inequities off off the books. It seems
  285. 10:53like every year in the retail space, in
  286. 10:55the online retail space, everybody's
  287. 10:56hunting for the new holy grail. And
  288. 10:58therefore that creates fads and
  289. 11:01buzzwords and also scapegoats and say
  290. 11:03he's the villain and this is what works.
  291. 11:04And it seems to be this year it's all
  292. 11:06about order flow where uh all the old
  293. 11:08strategies they're obsolete and
  294. 11:09everybody should learn about orderflow
  295. 11:11because that's where the real edge is.
  296. 11:12And then I watched a video of yours
  297. 11:14where you got into this idea of you want
  298. 11:16to as a trader eliminate redundancies.
  299. 11:18And that was interesting for me because
  300. 11:20I think a lot of retail traders they
  301. 11:22feel like adding to the plate adds
  302. 11:24certainty add confidence because I'm not
  303. 11:26just trading EMA. It's EMA plus trend
  304. 11:28plus pattern plus Ichimoku plus D. So
  305. 11:31then you feel comfortable and reassured
  306. 11:33that you've got 10 modes, not just one.
  307. 11:35Why is your pursuit in eliminating
  308. 11:37things as opposed to adding?
  309. 11:40>> Well, there's several things. I'll tell
  310. 11:42you a funny little story. I used to be
  311. 11:43friends with Richard Arms. Uh he was the
  312. 11:46one that invented the tren. Okay, he's
  313. 11:48passed sadly. Uh Dick is what we called
  314. 11:50him. And Dick uh used to say, "If you
  315. 11:54have two watches, you'll never know what
  316. 11:56time it is. If you have one watch,
  317. 11:59you'll always know what time it is.
  318. 12:01because they're never going to agree.
  319. 12:03And so what happens is if you can reduce
  320. 12:05stuff down just to essential indicators
  321. 12:08that help provide you that pattern
  322. 12:10recognition support,
  323. 12:13uh, you know, you might be able to have
  324. 12:16a little bit of glimmer, you know,
  325. 12:18beyond looking at too many squiggly
  326. 12:20lines. And if you think about it, moving
  327. 12:24averages, oscillators, a lot of these
  328. 12:28quote technical indicators,
  329. 12:30they're based off the first and second
  330. 12:33derivative of price. Okay? Price is
  331. 12:35always going to be one step ahead. And
  332. 12:38no matter how you slice or dice it. So
  333. 12:41maybe an oscillator will smooth out some
  334. 12:44of the noise in a bar chart, it'll never
  335. 12:46test out in a system. You cannot create
  336. 12:49a system with a positive edge that's
  337. 12:52going to have a first or second
  338. 12:54derivative of price. So, you know, it's
  339. 12:57fun to play around with for sure, but if
  340. 13:01you're trying to come up with an a model
  341. 13:03that has a statistically significant
  342. 13:05edge, you'll do much better using ATR
  343. 13:09functions or, you know, uh percentage
  344. 13:12functions, things along those lines. For
  345. 13:14the last 2 years, a proud sponsor of the
  346. 13:16show is a topranked leading prop firm,
  347. 13:19Alpha Capital. And for the years that
  348. 13:20I've been working with them and the
  349. 13:22thousands and thousands of viewers, you
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  365. 13:49unbeatable unmatched prices in the
  366. 13:51industry with a leading trusted prop
  367. 13:53firm. And with that being said, let's
  368. 13:54get back to the episode. I completely
  369. 13:56understand that these indicators, they
  370. 13:58are lagging. So how can they help you
  371. 13:59predict something because they're
  372. 14:00already behind price or a derivative of
  373. 14:02price? The the argument that I would
  374. 14:05imagine an orderflow trader would say is
  375. 14:07orderflow is not something that is um
  376. 14:10lagging in the same way. In fact, it
  377. 14:11could be leading or predictive because
  378. 14:13it's giving me context to price to say
  379. 14:15price has come into a demand area. It's
  380. 14:17coming to a discount into a low. We
  381. 14:18could expect buyers to come in. But how
  382. 14:20do we know if they're here? I can read
  383. 14:21it on the tape and see yes, there's a
  384. 14:23aggressive buyers stepping in. This
  385. 14:25should naturally be a sense of cause and
  386. 14:26effect. Aggressive buyers step in into a
  387. 14:28right area. Price should go up. Doesn't
  388. 14:30feel lagging or doesn't feel like a
  389. 14:32derivative. Am I mistaken?
  390. 14:33>> Wouldn't you just see the same thing on
  391. 14:35a bar chart? I mean, [laughter]
  392. 14:37seriously, if buyers are coming in, you
  393. 14:39should start to see the price lift,
  394. 14:40right?
  395. 14:42>> Sure. They're mirror.
  396. 14:43>> I'm simplifying it for you. I'm
  397. 14:45simplifying it for you because I don't
  398. 14:46really think that we're able to process
  399. 14:49this stuff on a cognitive level and then
  400. 14:52make a decision all the while, you know,
  401. 14:55with our other where are we going to
  402. 14:57risk to manage these trades and so
  403. 14:59forth. It's um I don't know. I just
  404. 15:02think that there's better ways that we
  405. 15:04could uh process information perhaps
  406. 15:07look at a higher time frame. You know,
  407. 15:10areas on the chart where uh would be
  408. 15:13logical swing highs and swing lows,
  409. 15:16things along those lines. And the other
  410. 15:17problem with order flow is it's so
  411. 15:19dependent on time of day functions. So,
  412. 15:21you're always going to have a surge in
  413. 15:23volume off the opening. You'll have a
  414. 15:26surge in volume off Asia opening, a
  415. 15:28surge in volume off Europe opening.
  416. 15:31You'll have a complete dry up in volume
  417. 15:33if they're waiting for an economic news
  418. 15:35report or a release. You are going to
  419. 15:38have a surge of volume going into the
  420. 15:40close. So, how are you going to
  421. 15:42normalize all these time of day
  422. 15:44functions for your order flow is
  423. 15:47basically a fancy way of looking at
  424. 15:49volume or splitting it up, right? And
  425. 15:52>> would you say that certain times of day
  426. 15:54or time functions as you're saying
  427. 15:55because it it's
  428. 15:57volatile throughout the day. Is there
  429. 16:00better skews of saying these times of
  430. 16:02day have better expectancy and these
  431. 16:04types where there's drying up liquidity
  432. 16:06is less worthwhile to be trading? Have
  433. 16:07you found any correlation between time
  434. 16:09of day of execution and outcome?
  435. 16:12>> Sure. Absolutely. If you're going to do
  436. 16:14any type of breakout pattern, you know,
  437. 16:16or the range expansion stuff, you want
  438. 16:18to be doing that off of a session
  439. 16:20opening. That's going to be your ideal.
  440. 16:22Now, it doesn't mean that you can't see
  441. 16:25things at other times of day. And
  442. 16:27there's little subtleties such as days
  443. 16:29of the week have their own little
  444. 16:31nuances. Oh, yeah.
  445. 16:33>> What have you noticed on a let's say a
  446. 16:35daily oh days of the week cycle in terms
  447. 16:37of liquidity?
  448. 16:37>> Oh, just for example, Monday tends to be
  449. 16:39much lighter volume than Tuesday and
  450. 16:41Wednesday, that type of stuff. You know,
  451. 16:44um there's seasonality to volume. uh
  452. 16:46certain months have much heavier volume.
  453. 16:49You know, around the uh beginning and
  454. 16:51end of a quarter, you'll get increases
  455. 16:53in volume for obvious reasons. So, and
  456. 16:56it all depends on the market, too. You
  457. 16:58know, if you're trading the grains, you
  458. 17:00know, you've got rollover, you've got
  459. 17:02crop reports, you have seasonality with
  460. 17:04a harvest. So, they all have their own
  461. 17:06little subtle nuances.
  462. 17:08>> I guess volume alone maybe isn't so
  463. 17:10useful because it could cancel out in
  464. 17:12the sense of I think of it like a
  465. 17:13tugof-war. You have two teams pulling on
  466. 17:15a rope. If there's five people on both
  467. 17:17sides or 20 people on both sides, yes,
  468. 17:18there was more volume, but they also do
  469. 17:20cancel each other out. I guess we are
  470. 17:22looking for lopsided where there's way
  471. 17:23more buyers than sellers. Is there
  472. 17:25anything in the days of the week or
  473. 17:27seasonality or even time of day that
  474. 17:29would help me perceive strength as
  475. 17:30opposed to just a rising tide of volume?
  476. 17:34>> Well, it would show up in the uh
  477. 17:37persistency of the trend in the bar
  478. 17:39chart. Even if it's a five-minute chart
  479. 17:42and you start seeing three consecutive
  480. 17:44bars to the upside. Well, hello. You
  481. 17:48don't need to tell me that there's an
  482. 17:49imbalance there. You know uh another
  483. 17:52thing that you might your your your
  484. 17:54listeners might find interesting
  485. 17:56experiment just to make a point on a
  486. 17:59different level is anytime you have a
  487. 18:03volume spike. Okay, just an intraday
  488. 18:06volume spike. Sometimes gold will do
  489. 18:08this or crude oil or even uh you know
  490. 18:12the bonds are a currency in particular
  491. 18:14the index futures and copper. Go down on
  492. 18:17a five minute chart and then go down on
  493. 18:20a one minute chart. See exactly where
  494. 18:23that volume came in. 80% of the time
  495. 18:27it's going to be on a previous little
  496. 18:29intraday swing high or swing low. Okay.
  497. 18:33So what does that tell you? That's tells
  498. 18:35you that the algos are at work because
  499. 18:38there are a lot of algos out there that
  500. 18:40trigger off of a channel high or a
  501. 18:43channel low getting penetrated. Okay? So
  502. 18:46you'll see these surges in this volume
  503. 18:50coming in just from an algorithm
  504. 18:52execution. Boom. Right at that, you
  505. 18:54know, swing high. It's so blatant and
  506. 18:56obvious. And then what they can do, I
  507. 18:59know because I've done this. All right?
  508. 19:01[laughter] I'll tell you all my secrets,
  509. 19:03you know, but I'm not a billionaire from
  510. 19:04this stuff. But the algo can initiate
  511. 19:09and the price can go tick tick tick tick
  512. 19:12tick tick, right? Like you do off
  513. 19:14reports. Very dangerous time to be
  514. 19:17getting reactive. But let's assume it's
  515. 19:20not that. It's just a structural point.
  516. 19:22And then if it starts going tick tick
  517. 19:25tick, if it's gone tick tick tick down
  518. 19:28by a certain function, boom, the al goes
  519. 19:30flat. Okay? Because it doesn't want to
  520. 19:33get caught in a noise spike.
  521. 19:36It can do this faster than you can blink
  522. 19:38an eye. So, you're going to tell me that
  523. 19:40as a little pee on human, we're sitting
  524. 19:42here in our trail, you know, chair
  525. 19:44trying to make stuff out of order flow
  526. 19:47when you've got so much noise in the
  527. 19:50markets that is generated by little
  528. 19:52algorithms pinging left and right for
  529. 19:55strategies that last anywhere from 5
  530. 19:58seconds to 5 hours. I think it's a very
  531. 20:00misguided type of game to play.
  532. 20:03>> I guess I should begin with, we spoke
  533. 20:05about it off camera, but we are up
  534. 20:07against the brightest minds that are
  535. 20:08better capitalized, that have better
  536. 20:10infrastructure and now it's nancond
  537. 20:12execution and you even mentioned to me
  538. 20:14how an alpha can decay in a day. So when
  539. 20:17you have this shape-shifting beast that
  540. 20:18is the market and your counterparts is
  541. 20:20people that are way better than you. I
  542. 20:22guess we should begin with saying can a
  543. 20:23retail trader even survive in this
  544. 20:25market because you also tell you also
  545. 20:26say that the market is not zero sum it's
  546. 20:28negative sum considering the costs so in
  547. 20:30such an environment should we even be
  548. 20:32considering to participate
  549. 20:35be grateful for these other algorithms
  550. 20:38out there because that provides
  551. 20:40liquidity okay if we didn't have all
  552. 20:43that going on and you don't even have
  553. 20:44the pits anymore now nowadays be
  554. 20:47grateful because it provides volume and
  555. 20:50this is what we need. Um, and it it does
  556. 20:54create another style of trading called
  557. 20:57opportunistic
  558. 20:59trading. Hear that? That's for a
  559. 21:01tornado. [laughter]
  560. 21:03>> Oh, wow. Okay.
  561. 21:03>> Yeah. Okay. All kinds of bells and
  562. 21:05whistles in this town. No, opportunistic
  563. 21:08trading is waiting until one side is
  564. 21:10pulled offside, if you will. Now you're
  565. 21:13sitting in capital cash and then that
  566. 21:15gives you the chance to go in and take
  567. 21:17advantage of it. So, it's just a
  568. 21:19different type of game. So it's and and
  569. 21:22it's not like you're trading against the
  570. 21:26brightest minds. The brightest minds
  571. 21:29have programmed their exocomputers and
  572. 21:32protocomputers and all the algorithms to
  573. 21:35run 20,000 strategies in the background
  574. 21:37and you do this all day long. You're
  575. 21:39going to have a positive expectation
  576. 21:40each day. So really the geniuses in my
  577. 21:45opinion aren't necessarily sitting
  578. 21:48behind the screens getting burned out
  579. 21:50day after day.
  580. 21:52>> I guess I guess a [clears throat]
  581. 21:53necessity would be these algorithms are
  582. 21:56helping us in the sense of they provide
  583. 21:57liquidity but unless I can understand
  584. 22:00them their behaviors their tendencies
  585. 22:01the footprints they leave uh does it
  586. 22:03leave any useful information for me? I'm
  587. 22:05trying to basically understand what is
  588. 22:06it in price action that I can latch on
  589. 22:08to say this is a signal, this is useful,
  590. 22:11this is predictive, these are the things
  591. 22:12I should be looking out for.
  592. 22:14>> 99% of the time, and this is just my
  593. 22:17opinion. If you guys can show me
  594. 22:19million-doll statements year after year
  595. 22:21after year, more power to you. I'm only
  596. 22:23speaking from my frame of of view. Okay?
  597. 22:27So, and there might be tools that I
  598. 22:29don't necessarily agree with that
  599. 22:30somebody's using. Wonderful. You know,
  600. 22:33that's fine. There's not the best thing
  601. 22:35about this business is there's not a
  602. 22:37right or a wrong way. There's not a
  603. 22:40correct way, okay? There's just whatever
  604. 22:44works for you that you've got a
  605. 22:45profitable bottom line at the end of the
  606. 22:47year. Okay? That's all it comes down to
  607. 22:50really. Risk management, if you think
  608. 22:52about it, if you eliminated your biggest
  609. 22:55loser year after year, I bet you'd be
  610. 22:58three times more profitable. You see, so
  611. 23:01we can get so caught up in the little
  612. 23:03minutia and it's very difficult these
  613. 23:08days to detect signal from noise. Okay,
  614. 23:11this is not a new theme. Um, so there's
  615. 23:15several ways that we can overcome this
  616. 23:18problem. Okay, the first way is
  617. 23:23if you are on too tight of a time frame,
  618. 23:26you're going to mostly be up in the
  619. 23:28noise.
  620. 23:29Okay. So, you know, look at a one minute
  621. 23:32stock chart. Tell me you can make sense
  622. 23:35of that. You know, uh, you know, well,
  623. 23:37of course, we can find two or three data
  624. 23:39points during the day where there's a
  625. 23:41little continuation pattern. No doubt
  626. 23:44about that, but you have to be careful
  627. 23:47about getting down into the weeds a
  628. 23:49little bit too much. And so for me, that
  629. 23:52feeling of trying to dissect the order
  630. 23:54flow and who's doing what and this and
  631. 23:57that.
  632. 23:59The idea of this game is get the main
  633. 24:02idea right. Get the main idea right. Is
  634. 24:06it a low to high day? Are we going
  635. 24:08higher or is it a high to low day? Once
  636. 24:11you can get that main idea right, that's
  637. 24:1390% of the game.
  638. 24:15>> Let me ask you a question. In all the
  639. 24:16years that prop firms have existed,
  640. 24:18well, how many times has a firm given
  641. 24:20traders the opportunity to trade without
  642. 24:22any rules? Well, let me present to you a
  643. 24:24no rules prop firm model. Introducing
  644. 24:27Ola Prime's latest funding models, the
  645. 24:29fly accounts, two-step fly, one-step
  646. 24:32fly, and direct fly. And no, it's not
  647. 24:34just fewer rules. It's not just relaxed
  648. 24:37rules. It's literally no rules. I'm
  649. 24:39talking no consistency rules. I'm
  650. 24:41talking no daily loss rule, no risk
  651. 24:44limits per trade, and no restrictions on
  652. 24:46the type of strategy you are trading. No
  653. 24:47prop firm has ever done this. I've never
  654. 24:49personally seen a model anything close
  655. 24:51to this. And you pick how you get there.
  656. 24:53Two-step [music] fly, two evaluation
  657. 24:55phases, and you're funded. One-step fly,
  658. 24:58one evaluation, and you're funded. Or
  659. 25:00direct fly, no evaluation at all. You
  660. 25:03start trading without any rule. Whether
  661. 25:05you're a scalper, whether you're a swing
  662. 25:07trader, whether you trade news, whether
  663. 25:08you trade large position size or small
  664. 25:10position size, and whether you want to
  665. 25:12trade a $10,000 account or a $100,000
  666. 25:15account with the strategies you'd like
  667. 25:17within an account size within your
  668. 25:18budget, and know you will get your
  669. 25:20payout. And with 41.4% of payouts being
  670. 25:23paid under 10 minutes, the average
  671. 25:25payout time being 12 minutes, you can be
  672. 25:27sure that you're not going through a
  673. 25:29interview process, and all of these
  674. 25:30hurdles [music] that prop firms make you
  675. 25:32jump through if they finally pay you.
  676. 25:34So, if that is interesting to you, click
  677. 25:35the link in the description or use code
  678. 25:37toot to claim your account today. It
  679. 25:40seems to me you're inferring here that
  680. 25:42most traders are hyperfocused on entry
  681. 25:46types, how to get in, whereas you're
  682. 25:48more focusing on probability of
  683. 25:50direction for the day. That's where you
  684. 25:52would begin.
  685. 25:53>> I would I start there for sure, but you
  686. 25:55want to be mindful on your what they
  687. 25:58call initial trade location. you know,
  688. 26:01your initial trade location is then
  689. 26:03gonna adjust your risk. Um, and I'm like
  690. 26:07everybody else. I love to play with
  691. 26:09little, you know, tricks and can I put
  692. 26:11out a uh can I quantify something where
  693. 26:15I have an agent that can work a
  694. 26:16particular pattern for me? Why not? It's
  695. 26:19we can do that nowadays. We couldn't do
  696. 26:21that three years ago. Okay? And it's
  697. 26:23still in its rough stages and it might
  698. 26:25depend on the quality of your data, but
  699. 26:27it's just a game. So part of that game
  700. 26:30is of course your initial trade
  701. 26:32location. However, your game's going to
  702. 26:35be worthless if you don't have money
  703. 26:37management algorithms, you know, and
  704. 26:39that's really where,
  705. 26:42in my opinion, the real money is made.
  706. 26:45And the real money is made in
  707. 26:47understanding the outliers and
  708. 26:50understanding the aberrations. Okay?
  709. 26:53because this is the unique information
  710. 26:56instead of just our everyday job blow
  711. 26:58hourly charts and stuff like that. The
  712. 27:00aberrations could be huge gaps, huge
  713. 27:04huge in insane volume, huge bars, you
  714. 27:08know, uh a change in relationships
  715. 27:11beyond a historical norm. for example,
  716. 27:14when the bond yields, the 30-year yields
  717. 27:17dropped below 5% and they hadn't ever
  718. 27:20been there for like years or, you know,
  719. 27:23the changes in the yield curve there.
  720. 27:25These types of changes in historical
  721. 27:28relationships,
  722. 27:30you know, are aberrations. They're hard
  723. 27:32to model because the frequency of
  724. 27:35occurrence is so much lower. But that's
  725. 27:38where the gold is buried. And this is
  726. 27:40what every trader wants to wait for. And
  727. 27:44so in the meantime, we do these little
  728. 27:46scalping games or, you know, two to
  729. 27:48three day swing trades or whatever you
  730. 27:49want to do. Play the game. Don't lose
  731. 27:52money. And then when you get that
  732. 27:53opening, what's really important is that
  733. 27:56you manage it by trailing a stop,
  734. 28:00staying with the trade, even doing some
  735. 28:03campaign trading where you're adding to
  736. 28:05it or trading in the direction of that
  737. 28:08initial position. This takes a long time
  738. 28:12to understand, you see. And uh I had a
  739. 28:16friend who taught me a really good
  740. 28:19phrase. Fortunately, he unfortunately he
  741. 28:21passed uh many years ago. But the name
  742. 28:25of the game for him was about dollars
  743. 28:28per time unit. Okay? Meaning um and he
  744. 28:34traded a volatility breakout type of
  745. 28:36system.
  746. 28:38So we want to get into the market where
  747. 28:40we can make the most dollars in the
  748. 28:43least amount of time. You see, it's I'm
  749. 28:46not I'm not a genius. if I get in and
  750. 28:49I'm holding holding and then all of a
  751. 28:51sudden there's a big bull move and it
  752. 28:53carries me along with it you know but
  753. 28:55there are certain uh data points
  754. 28:58structural points and we can quantify
  755. 29:01them where we can get in and trail a
  756. 29:05stop. Now most trade management you
  757. 29:08really can trail a stop no more than 15%
  758. 29:12of the time on pure technical trading.
  759. 29:15In other words, let's say that you have
  760. 29:18three exit strategies that you can
  761. 29:20choose from. One, play for a small
  762. 29:23target. Small target might be half of an
  763. 29:26ATR. You know, average true range on the
  764. 29:29time frame that you're trading, even if
  765. 29:31it's a daily chart. Play for a large
  766. 29:34target, maybe three ATRs or even a
  767. 29:37certain standard deviation function. Uh,
  768. 29:40three trail a stop. Okay. And this is
  769. 29:44and and then we can do things like time
  770. 29:46stops as well. Hold for a duration of n
  771. 29:49number of bars or days. And now
  772. 29:52effectively what you're doing is you're
  773. 29:55building out an actuarial table. Do you
  774. 29:58understand that concept? An actuarial
  775. 30:00table is what insurance companies do to
  776. 30:03look at your life expectancy and it's
  777. 30:06all fuzzy variables and probabilities
  778. 30:08and and so forth. So you're you're
  779. 30:11essentially building out an actuarial
  780. 30:13table with this type of thinking. But
  781. 30:15what I wanted to say is maybe 15% of the
  782. 30:19time your optimal exit strategy will be
  783. 30:23a trailing stop.
  784. 30:26Interesting.
  785. 30:27If well you define ATR as this is normal
  786. 30:30behavior and the average trade is not
  787. 30:32going to be abnormal outcomes or we
  788. 30:34can't index or uh factor for abnormal
  789. 30:36outcomes. It seems to be waiting for the
  790. 30:39breakout and an abnormal trend in your
  791. 30:41direction and per you got the great
  792. 30:42entry and you don't know when it's going
  793. 30:43to run to. Uh therefore I'm going to
  794. 30:45trail the stop that's going to be on
  795. 30:46fewer occurrences. Would we not I was
  796. 30:48assuming you were going to tell me that
  797. 30:50uh majority of the time you want to take
  798. 30:51it at ATR or a standard deviation
  799. 30:53because that's more common.
  800. 30:55>> Okay. So average true range meaning if I
  801. 30:58have five minute bars and they're all
  802. 31:00like on average, you know, that would be
  803. 31:01one average true range. you know, if
  804. 31:03your daily S&P uh range is 50 handles,
  805. 31:07okay? And you can get an average of for
  806. 31:10the last 10 days, your average true
  807. 31:12range. And that's how we're going to
  808. 31:14measure our unit. Now, it doesn't have
  809. 31:16to be a breakout. Some of the most
  810. 31:18lucrative spots to trail a stop, which
  811. 31:21are fairly easy to quantify, could be
  812. 31:24springs and traps, right? You know, the
  813. 31:27false breakout to the downside. You've
  814. 31:30done the Vspike. we've flushed all the
  815. 31:34longs out and it creates a vacuum on the
  816. 31:37other side. Okay, that's a very common
  817. 31:40uh pattern by which we can trail a stop.
  818. 31:43So, it really depends on just the
  819. 31:46overall structural uh Yeah, when when
  820. 31:50you said trail, I assumed there was some
  821. 31:51sort of moving average and you're just
  822. 31:52creeping it up. But here, it sounds like
  823. 31:54it's steps. The next time you see a
  824. 31:56flush and a vacuum, you just jump into
  825. 31:58that level and then the next one. Is
  826. 32:00that how you're doing this?
  827. 32:01>> So, trailing stops, there's a zillion
  828. 32:04ways to trail a stop, and it's not like
  829. 32:06there's one optimal way. For example, a
  830. 32:09parabolic is a trailing stop. You could
  831. 32:12have a moving average that's the lowest
  832. 32:15low of the last 10 days. Make an a
  833. 32:17moving average of those lows and that
  834. 32:19could function as a trail stop. Um the
  835. 32:22lower end of a Kelner channel or a
  836. 32:24bowlinger band if you want. It could be
  837. 32:26a trail stop. Uh I think the one of the
  838. 32:29more popular and effective and
  839. 32:31consistent ones is the one that Wells
  840. 32:34Wilder put out uh in the public domain
  841. 32:3740 years ago with his book that's is
  842. 32:40volatility stop and reverse. So we can
  843. 32:43take two and a half average true ranges
  844. 32:46and add it to the lowest low or whatever
  845. 32:50metric you want to use. There's, you
  846. 32:52know, a zillion ways to skin a cat with
  847. 32:54this stuff. that would be a viable way
  848. 32:57to trail a stop. So, I mean, you know,
  849. 33:00we spent probably two years modeling
  850. 33:04every trail stop we could ever think of.
  851. 33:06And I know what you're talking about,
  852. 33:07the chandelier stop where it ratches it
  853. 33:09up. And guess what? One quarter, this
  854. 33:12method would be optimal. Another
  855. 33:14quarter, this would be optimal. And I
  856. 33:16had a guy, he worked for me for 10
  857. 33:18years, and all he did was modeling and
  858. 33:20statistic, all of our our research and
  859. 33:22statistical stuff. And he turns to me
  860. 33:24one day and he goes, "You know, Linda,
  861. 33:27on the best trades, it doesn't matter
  862. 33:29what technique you're using. They're all
  863. 33:31going to keep you in." I'm like, "Okay,
  864. 33:33point made." Yes, point made.
  865. 33:36>> I have a lot of traders that tell me the
  866. 33:37opposite, which is no one went broke
  867. 33:39taking a profit. When it goes in your
  868. 33:41direction, uh, take a profit. Even here,
  869. 33:43you're saying dollars per time, which
  870. 33:45means the initial momentum, as I
  871. 33:46understood it. So, when it starts to
  872. 33:48slow down or flatten, yes, it could
  873. 33:49continue, but momentum is slow down.
  874. 33:51Therefore, your your dollars per time is
  875. 33:53slowing down. There's many reasons that
  876. 33:55people just trim it or partial along the
  877. 33:57way. Why have you found that trailing it
  878. 33:59and see what happens is a better
  879. 34:01approach top down than um trimming along
  880. 34:04the way or having hard outs?
  881. 34:06>> Now, now mind you, I said only 15% of
  882. 34:09the time is it optimal to trail.
  883. 34:11>> Oh, okay.
  884. 34:12>> Okay. Everybody would like to trail a
  885. 34:14stop and think they're going to capture
  886. 34:16stuff all the time. No, the majority of
  887. 34:18the time, especially with intraday or
  888. 34:21discretionary trading, the majority of
  889. 34:24the time, play for a small target or a
  890. 34:27big target if the move is just starting
  891. 34:30or perhaps scale out. Um, you know,
  892. 34:33Perry Kaufman put out a wonderful uh
  893. 34:37math behind the the way to scale, which
  894. 34:41is let's say I had five pieces. This is
  895. 34:44Perry's work. I I I cite him as my, you
  896. 34:47know, hero. Um, so when you're scaling
  897. 34:50and let's say I'm scaling out in five
  898. 34:52pieces, you would want to scale the
  899. 34:54first three pieces fairly close
  900. 34:56together. Boom, boom, boom. Because the
  901. 35:00odds of duration now drop off. You can
  902. 35:03here's the fourth piece and then boom,
  903. 35:05here's the fifth piece. What what a lot
  904. 35:06of people call runners, you know. So uh
  905. 35:10what I also think about and I don't know
  906. 35:11if this would be your line of thinking
  907. 35:13also is if somebody is on the intraday
  908. 35:15and they are looking at the 15minut time
  909. 35:17frame or 5 minute time frame naturally
  910. 35:19you will have a tighter stop and the
  911. 35:22idea of like oh just turn a intraday
  912. 35:24trade into a long-term hold and get a 1
  913. 35:25to 50 riskreward. I know that's
  914. 35:27unrealistic but I also do wonder the
  915. 35:29riskreward of holding a position because
  916. 35:32out of all the traders I've spoke to I
  917. 35:34think the minority would be in some sort
  918. 35:35of trailing fashion. majority would be
  919. 35:38put it at break even and then have your
  920. 35:39targets or even a lot of people don't
  921. 35:41use a stop or a break even which I find
  922. 35:43fascinating but what I think about is
  923. 35:45let's say it's going from 1 one to 1 to2
  924. 35:47to 1:3 if I allow a 1 to4 to go back to
  925. 35:50break even I'm giving up unrealized 4R
  926. 35:53to maybe gain another r which is
  927. 35:55negative riskreward so then I also start
  928. 35:57to think is there an inflection point of
  929. 35:59continuing to hold the trade becomes
  930. 36:00inefficient even though sometimes it
  931. 36:02does and therefore as a function of
  932. 36:04riskreward we should exit not targets or
  933. 36:06trail.
  934. 36:09>> Oh, I don't know. I'm blonde. That's too
  935. 36:11confusing for all me. Seriously, I can't
  936. 36:13do all that RR and all that kind of
  937. 36:15stuff. No, you know what? In general, I
  938. 36:17I I'll be flat out truthful.
  939. 36:20>> I'm usually all in, all out. Okay. It's
  940. 36:23really rare that I scale. Okay. Um I do
  941. 36:26put positions on. When I'm putting
  942. 36:29positions on, I'm just holding till I'm
  943. 36:32all out. Okay. Because
  944. 36:34>> in my mind, even though I'm not doing
  945. 36:37the pure math on this stuff,
  946. 36:39>> if there was a reason to take off part
  947. 36:41of it, then there would be a reason to
  948. 36:43take off the whole thing. In other
  949. 36:44words, the technicals have done so. Uh,
  950. 36:48and and what you'll see is people who
  951. 36:50scale out, they scale out on the
  952. 36:53winners, but when they're getting hit
  953. 36:55with a stop or a loss, you're getting
  954. 36:57clipped on the whole thing. That does
  955. 37:00not make sense to me, you know? So I'm
  956. 37:02usually all in, all out. That's my
  957. 37:04trade. It's like on to the next shuffle.
  958. 37:07>> So I understood from a lot of my
  959. 37:08research that you were an intraday
  960. 37:10technical trader. But the way you
  961. 37:11phrased it now was that's cute. That's
  962. 37:13fun. I do that here and there, but I'm
  963. 37:15waiting for these dislocations, these
  964. 37:17big opportunities, and that makes my P&L
  965. 37:19for the year, which then for me was
  966. 37:21like, okay, that's great. That that
  967. 37:22those are the big opportunities, but
  968. 37:23they're infrequent. So I guess you can't
  969. 37:25make a living out of expecting those
  970. 37:27things. um in an average year,
  971. 37:30especially on your fund because you had
  972. 37:31larger size, would your profit of the
  973. 37:33year be skewed heavily towards those
  974. 37:35outlier opportunities or was it kind of
  975. 37:37a 50/50 balance to to have a reason to
  976. 37:40preserve this one?
  977. 37:42>> It was really interesting because, you
  978. 37:44know, we had the the stats on each
  979. 37:47market, which was our best market for
  980. 37:49the year, and I kind of divvied things
  981. 37:51up into three profit centers. So, profit
  982. 37:54center one was my S&P day trading. I
  983. 37:56mean, that was my baby. I know I can
  984. 37:58always go in and make a living S&P day
  985. 38:00trading. I started trading the S&Ps the
  986. 38:02very first day they were listed.
  987. 38:05>> Wow.
  988. 38:06>> I called down to the floor and that was
  989. 38:08from the Pacific Coast Stock Exchange.
  990. 38:10Placed an order. I think uh what was the
  991. 38:13price? I don't know, maybe it was it
  992. 38:15like 285 or something like that. I don't
  993. 38:18even remember. And you know, they traded
  994. 38:20in uh a larger unit size then. I mean,
  995. 38:23even though it was the big S&P, but I
  996. 38:26think they were in in dimes
  997. 38:28or nickels. They were in nickels back
  998. 38:30then. And uh I think I took 80 cents
  999. 38:33which was a huge trade you know but
  1000. 38:37it it was a very easy trade for me to
  1001. 38:40make because I was so ingrained with the
  1002. 38:44time of day from being a floor trader in
  1003. 38:47the equity options which is an arbitrage
  1004. 38:50business per se but you could see the
  1005. 38:52crowd behavior the way that they would
  1006. 38:54come in and pay up way too much off the
  1007. 38:57opening. So you still see that today
  1008. 38:59with stocks, that opening bulge where
  1009. 39:02everybody wants to chase and all of a
  1010. 39:04sudden the move's over after the first
  1011. 39:0625 minutes, right? And then in the old
  1012. 39:09days it would be um
  1013. 39:13just before 12 noon, that's when the
  1014. 39:16specialists, you know, would go to lunch
  1015. 39:18or all the floor traders would go to
  1016. 39:20lunch. You get your counter trend
  1017. 39:22reaction because the specialists had to
  1018. 39:23get their inventory back from selling in
  1019. 39:25the morning. You see? So there were
  1020. 39:27these tendencies that were based on
  1021. 39:29behuman behavior which would continue to
  1022. 39:31repeat themselves. And if it was a long
  1023. 39:34day, well, all the boys up in Boston,
  1024. 39:36the Fidelity crew who were out there
  1025. 39:38eating clam chowder, they'd come back
  1026. 39:40and it would be like 2:00 and okay,
  1027. 39:42let's get the party going again. All
  1028. 39:44right. So now we've got a few more
  1029. 39:46different types of days. But was very
  1030. 39:49ingrained into me these time of day
  1031. 39:52functionalities. And we had um because
  1032. 39:56the stocks were denominated in eighs,
  1033. 40:01you could use the ticks because if half
  1034. 40:04the stocks were on an uptick, you know,
  1035. 40:07from perhaps a buy program and then just
  1036. 40:12onethird of them dropped back down to a
  1037. 40:15down tick. That would be good for about
  1038. 40:17three points in the index, which was
  1039. 40:19huge back then. Okay, there's this
  1040. 40:21phenomena of being able to use the
  1041. 40:23ticks, the eb and flow like a tide. Now,
  1042. 40:26you can't do that anymore because
  1043. 40:28everything's in fractions. Damn it. You
  1044. 40:29know, you you you find the key and they
  1045. 40:32change the lock, right? So, um but I'm
  1046. 40:36digressing. Profit center one was the
  1047. 40:39shortterm scalping. For me, that was one
  1048. 40:42to three trades a day. Okay? So, it's
  1049. 40:45not like you're going in and out and in
  1050. 40:46and out and in and out. If you look at a
  1051. 40:48chart of the S&Ps, there's probably on
  1052. 40:51balance two to three swings that last 60
  1053. 40:55to 90 minutes in duration. You just want
  1054. 40:58to capture one or two of those. That's
  1055. 41:00all that I was trying to do. That's
  1056. 41:02scalping. To me, it's making a day
  1057. 41:04trade. And then profit center 2 was the
  1058. 41:06in one day, out the next. You know, the
  1059. 41:09volatility breakout stuff or more
  1060. 41:12importantly for my style of trading that
  1061. 41:15tailor trading technique rhythm. If we
  1062. 41:17just had two days high to low, okay, the
  1063. 41:22sellers have exhausted themselves. It's
  1064. 41:24time for a low to high day. So that
  1065. 41:26concept of what is the trend for the
  1066. 41:30day?
  1067. 41:31That's why I said that should be your
  1068. 41:33departure point. Is there a trend for
  1069. 41:36the day? Are we trading outside of that
  1070. 41:39first hour's range? Trend for the day.
  1071. 41:42That's your friend. So that was our
  1072. 41:45profit center number two. And you always
  1073. 41:47hold profitable trades for another day
  1074. 41:49or two. If uh if [laughter] they're not
  1075. 41:51profitable, they become day trades,
  1076. 41:52right? And then profit center number
  1077. 41:55three was if we had one of those daily
  1078. 41:58weekly setups where perhaps the weeklies
  1079. 42:03are correcting back down and then the
  1080. 42:06dailies show a buy divergence at the end
  1081. 42:09of that technical swing.
  1082. 42:12best riskreward in the book. You can do
  1083. 42:14that on any time frame. Look for the
  1084. 42:17correction back on the higher time
  1085. 42:19frame. Look for the little complex loss
  1086. 42:21of momentum on the lower time frame.
  1087. 42:24It's not going to work 100% of the time,
  1088. 42:26but it's going to give you excellent
  1089. 42:28riskreward.
  1090. 42:30And then profit center 4 was sort of the
  1091. 42:32like, damn it, I just feel like buying
  1092. 42:34oats at this time of year because they
  1093. 42:36always go up at this time of year. Let's
  1094. 42:38put on a position in oats. know those
  1095. 42:40those stories in my trading sardines
  1096. 42:42book. And um so what I found is that
  1097. 42:46looking back over a couple years worth
  1098. 42:47of data, if I divided it up into
  1099. 42:50quarterly performance,
  1100. 42:53one profit center might perform best one
  1101. 42:56quarter, one quarter it might be my S&P
  1102. 42:59scalping, the next quarter it might be
  1103. 43:01the second profit center. So it just
  1104. 43:03added a real, excuse me, a really nice
  1105. 43:06diversification there. and I never knew
  1106. 43:09what was going to unfold, you know.
  1107. 43:12>> Very interesting. I can also from a top
  1108. 43:14down I can imagine if the market is
  1109. 43:15trending something will work better
  1110. 43:16compared to consolidating. I guess
  1111. 43:18scalping would be in a tighter range.
  1112. 43:20Trending would be the in day positions.
  1113. 43:22I'm also curious do you have greater
  1114. 43:25degree of certainty or conviction or
  1115. 43:26size up on certain positions or certain
  1116. 43:29styles of trading these profit centers
  1117. 43:31or are they all equally allocated equal
  1118. 43:33risk and you just see how which which
  1119. 43:35one is it? Is it this quarter? Is it
  1120. 43:37this stone or this turn stone? How how
  1121. 43:38do you manage these types of systems?
  1122. 43:41>> So, that's an excellent question because
  1123. 43:43it is a problem when people start
  1124. 43:45varying their bet size. I don't believe
  1125. 43:48in that. I want an even bet size because
  1126. 43:51I don't know where the winners are going
  1127. 43:52to be. I don't know where the losers are
  1128. 43:54going to be. And this the minute I start
  1129. 43:55monkeying around with that, it's going
  1130. 43:57to be Murphy's law. So I calculate out
  1131. 44:00my unit size at the beginning of each
  1132. 44:03quarter. I do it based on the average
  1133. 44:06dollar range. Okay? So for example, I
  1134. 44:09can take the average true range in corn,
  1135. 44:12multiply it by the tick size and say,
  1136. 44:15"Oh, corn has an average daily range of
  1137. 44:19$500." All right. Now, maybe the S&Ps
  1138. 44:22have an average daily range of $5,000.
  1139. 44:27not necessarily these days, but you
  1140. 44:29know, well, that tells me I can trade 10
  1141. 44:32times as many corn contracts as one S&P.
  1142. 44:36So, I try to make it all a very even bet
  1143. 44:38size.
  1144. 44:40So, I redo that at the end at the
  1145. 44:42beginning of every quarter. And then,
  1146. 44:45okay, I can do two units if I want. And
  1147. 44:49each unit will be like one unit per
  1148. 44:52$100,000. Okay. So, this is like when I
  1149. 44:54was managing money. If we took in
  1150. 44:56another couple million dollars, I can
  1151. 44:58increase my unit size by another 30
  1152. 45:00cars. You know, that type of uh thing.
  1153. 45:03So, when I used to trade, I had somebody
  1154. 45:06else doing all my execution for me. And
  1155. 45:09sometimes when I used to call down to
  1156. 45:10the floor, I'm the worst at executing.
  1157. 45:12You do not want me pulling that trigger.
  1158. 45:14I make so many mistakes. I don't know
  1159. 45:16why. I buy when I should sell. I click
  1160. 45:19I've bought the Swiss Frank when it was
  1161. 45:21supposed to be the S&Ps, you know, it's
  1162. 45:24just not me. So, um I always had an
  1163. 45:27assistant who could execute for me and
  1164. 45:31then I can just say buy one unit of
  1165. 45:34silver, buy one unit of XYZ, sell, you
  1166. 45:39know, that type of thing. And uh I'm
  1167. 45:42never thinking about the numbers. I'm
  1168. 45:44never thinking about the dollars. It's
  1169. 45:47just like this is the spot on the game
  1170. 45:49board. Put on a unit. This is the spot
  1171. 45:52to take it off.
  1172. 45:53>> I can see the reason why you put someone
  1173. 45:55to execute in place for you just to
  1174. 45:57avoid clumsiness or whatever the case
  1175. 45:59may be. But I feel like you could also
  1176. 46:01unpack a huge advantage which is a lot
  1177. 46:03of traders feel the urge if it goes into
  1178. 46:04draw down to start messing with it go
  1179. 46:06chasing it or just messing around with
  1180. 46:08it. But if you kind of delegated that it
  1181. 46:11removes all I suppose psychological
  1182. 46:13remnants of price moving in your favor
  1183. 46:15against your favor. how quickly it's
  1184. 46:17moving. Have you found it's also uh
  1185. 46:19relieved you psychologically as well?
  1186. 46:21>> Um, you know, when I first when when I
  1187. 46:24first left the trading floor and now I'm
  1188. 46:27upstairs, okay, upstairs as they say in
  1189. 46:30the office of my FCM and then when I set
  1190. 46:33up an office from my house, we didn't
  1191. 46:36have electronic trading platforms.
  1192. 46:38Everything was pick up the phone, make a
  1193. 46:40call to the pit. I had direct lines to
  1194. 46:42each of those brokers and give them the
  1195. 46:44trade.
  1196. 46:46So, I never started off with the little
  1197. 46:49electronic things. Now, I don't even
  1198. 46:52know how to type. Okay, I have to look
  1199. 46:54at the keyboard to type. And thank God
  1200. 46:56there's spell check. And this is ironic
  1201. 46:59because I was a pianist for, you know,
  1202. 47:01God knows my life. You'd think I'd be
  1203. 47:02very good at this stuff. I just I don't
  1204. 47:06I limit, you know, what I process. I
  1205. 47:09know what I'm good at. I know my niche.
  1206. 47:11I know I'm good at being in the flow and
  1207. 47:14eating and breathing it. and I can just
  1208. 47:15say, "Hey, let's get out." You know,
  1209. 47:17that type of thing. Um,
  1210. 47:19>> I I've had a lot of trader, so I'm I'm
  1211. 47:21with you. I'm I've been standardized
  1212. 47:22risk my whole career, which is just a
  1213. 47:24decade now. And a lot of traders have
  1214. 47:26questioned me said, "Hey, if you do, do
  1215. 47:27you have high conviction setups? Do you
  1216. 47:29have win setups that have a better win
  1217. 47:31rate? Maybe they're less frequent, but
  1218. 47:32you know, if you have a plus setup that
  1219. 47:34has a 60 or 70% win rate, why trade that
  1220. 47:36equally to another setup that maybe has
  1221. 47:38a 30% win rate?" Uh, me saying high
  1222. 47:40conviction plays, I should size up
  1223. 47:42because I can yield more out of it. and
  1224. 47:44they always question me and I'm not
  1225. 47:45sure. I I just don't have the answer.
  1226. 47:46>> When you say high conviction, that to me
  1227. 47:49implies a bias, a cognitive bias. Is it
  1228. 47:53a leaning rate model?
  1229. 47:55>> I'm I'm leaning into the win rate as
  1230. 47:57opposed to I know you mean that it can
  1231. 47:58be a confirmation bias of sort. Uh but
  1232. 48:00if I have a 30% win rate model and a 70%
  1233. 48:02win rate model, why trade them both with
  1234. 48:04the same position size? curious of of
  1235. 48:06why you've considered standardized
  1236. 48:08sizing versus dynamic or other people
  1237. 48:10have told me, you know, lo in the losing
  1238. 48:12period, you should size down because
  1239. 48:14you're you're you're taking a toll
  1240. 48:15mentally and I've always thought, well,
  1241. 48:17it just means it's going to take me
  1242. 48:18longer to get out the hole. So, I've
  1243. 48:19always been standardized and it seems
  1244. 48:20you have been also. But I'm sure along
  1245. 48:22the way people have told you, hey, you
  1246. 48:23should switch it up or try these things.
  1247. 48:25But you've you've stayed for a minute.
  1248. 48:27>> Well, first of all, nobody's ever told
  1249. 48:28me anything. [laughter] I learned
  1250. 48:31everything my uh self the hard way. But
  1251. 48:34th this is this is the way that works.
  1252. 48:36Okay. If you are a discretionary trader
  1253. 48:40and you are in a draw down and you are
  1254. 48:43losing money, you must cut back your
  1255. 48:47size because something is wrong. Okay?
  1256. 48:51Either you're not getting enough sleep
  1257. 48:53at night or there's been a regime change
  1258. 48:55and you haven't recognized that or
  1259. 48:58you're you're making too many unforced
  1260. 49:01errors in getting sloppy. something is
  1261. 49:03wrong when you start to go into a
  1262. 49:06prolonged draw down as a discretionary
  1263. 49:08trader. Maybe you should stop trading
  1264. 49:10that market. So, you need to cut back
  1265. 49:13your size until you can regroup and
  1266. 49:15figure out why that draw down occurred.
  1267. 49:18I mean, everybody's going to have six
  1268. 49:20losers in a row. That's a given. Okay?
  1269. 49:22Even with a 90% win rate, you will have
  1270. 49:24six losers in a row. So, you have to
  1271. 49:26allow for that in your sizing just to
  1272. 49:29begin with. That's with a systematic,
  1273. 49:31too. Okay? Now, when you are trading a
  1274. 49:34system, the last thing you want to do is
  1275. 49:38cut back your size when you're going
  1276. 49:40into a draw down because that's about
  1277. 49:45ready when it's ready to spring and have
  1278. 49:47a big win again. So, they're two
  1279. 49:49opposite schools of approach there. And
  1280. 49:54both have very good groundings in their
  1281. 49:56in their math
  1282. 49:57>> for for a discretionary trader. How can
  1283. 49:59I correctly allocate? The mistake is I'm
  1284. 50:02not adhering to the plan. I'm not
  1285. 50:03sleeping enough. Maybe I'm having
  1286. 50:04marriage issues and this is the reason
  1287. 50:06for the the bad performance versus even
  1288. 50:09in a winning period you have losing draw
  1289. 50:10down periods and this is just factored
  1290. 50:12in as part of the plan. I need to keep
  1291. 50:13rolling the dice and it's going to be
  1292. 50:15okay. How do I know when to allocate it
  1293. 50:16towards performance and I need to size
  1294. 50:18it down versus no this is the time it's
  1295. 50:20about to become profitable. Stay with
  1296. 50:21it.
  1297. 50:22>> When it starts really bothering you like
  1298. 50:24damn it, how did I lose so much money?
  1299. 50:26Damn it. you know [laughter]
  1300. 50:27>> how often in a in a year or whatever
  1301. 50:30time frequency have you found yourself
  1302. 50:31having to do this?
  1303. 50:32>> Everybody's different and everybody has
  1304. 50:34a different wealth profile. In other
  1305. 50:37words, there's a lot of people that
  1306. 50:39might keep $100,000 in their trading
  1307. 50:42account, but they've got a net worth of
  1308. 50:4420 million. Okay, it's not going to
  1309. 50:46stress them to have a 20% draw down.
  1310. 50:48Then you could have somebody that has,
  1311. 50:51you know, $100,000 in their account and
  1312. 50:54not a whole lot of money cash liquid,
  1313. 50:56you know, and they owe mortgages and
  1314. 50:58stuff like that. It's going to stress
  1315. 50:59them out a lot. So,
  1316. 51:02I do not like this. Oh, I made 20% on my
  1317. 51:06account, these types of things because
  1318. 51:08it's really not a realistic picture of,
  1319. 51:11you know, and it's just really referring
  1320. 51:14to the amount of leverage that a person
  1321. 51:16is choosing. So, I would say my advice
  1322. 51:20would be if it really starts bothering
  1323. 51:22you, okay, it shouldn't. You don't want
  1324. 51:26to be in a business that's so stressful.
  1325. 51:29So, if it starts to be stressful,
  1326. 51:32everybody feels if they take a day or
  1327. 51:34two off that they're going to miss
  1328. 51:37everything and lose their groove. But
  1329. 51:39here's what's going to happen. When you
  1330. 51:41are putting yourself under stress,
  1331. 51:44you're gonna start doing the dumbest,
  1332. 51:46stupidest things unconsciously
  1333. 51:50because your your mind is trying to tell
  1334. 51:53you, "Dude, chill out. What are you
  1335. 51:56doing? You've destroyed your cortisol
  1336. 51:58system. You've destroyed everything."
  1337. 52:00You know, and you'll make such a dumb
  1338. 52:02mistake that it you have to take some
  1339. 52:04days off.
  1340. 52:05>> I've always found that interesting. uh
  1341. 52:07when I've spoken to certain
  1342. 52:08psychologists on the show, they were
  1343. 52:09like the old part of your brain which is
  1344. 52:12responsible for for flight, fight and
  1345. 52:13flight, it will override your logic
  1346. 52:16center in in a certain period where you
  1347. 52:18are driven towards risk and it and when
  1348. 52:20you do calm down and rejogg your memory
  1349. 52:22of what just happened, you will look and
  1350. 52:24think that was stupid. But in the moment
  1351. 52:25it makes so much sense because the old
  1352. 52:27part of your brain just just hijacking
  1353. 52:28you. Um, curious here the the mindset of
  1354. 52:31a trader, the correct mindset because
  1355. 52:33we've off camerara spoke about flow
  1356. 52:35state, subconscious competence. There's
  1357. 52:38also these people that have a lot of
  1358. 52:39rituals behind their trading, a
  1359. 52:40pre-market ritual and uh maybe
  1360. 52:42meditation and journaling. And some
  1361. 52:44people say that's that's fluff, that's a
  1362. 52:46waste of time. Other people swear by it.
  1363. 52:47And I've had traders that say they'll
  1364. 52:48meditate an hour a day every single day.
  1365. 52:50I'm like that's a lot of time. So I'm
  1366. 52:52curious to know your mindset and
  1367. 52:54routines around your trading plan.
  1368. 52:57>> Yeah. You know, every individual is
  1369. 52:59different, too. And so for your
  1370. 53:01audience, there's no right or wrong.
  1371. 53:04It's what works for you. I've never
  1372. 53:06meditated a day in my life. Okay, I'll
  1373. 53:09just tell you that flat out. Uh but um
  1374. 53:13I'm a fairly mindful type of person and
  1375. 53:18you know,
  1376. 53:20breathe and stuff. Um, my main ritual is
  1377. 53:24usually the night before when I do my
  1378. 53:26homework and I just write out my game
  1379. 53:28plan, which I can do in half an hour and
  1380. 53:31do all that. Um, and I was so fortunate,
  1381. 53:35you know, when I was um
  1382. 53:39really building up my wealth and became
  1383. 53:41a CTA and had a fund. I was really
  1384. 53:44blessed because I had a business
  1385. 53:46manager. All the phone calls went to
  1386. 53:48her. All the bills went to her. she got
  1387. 53:51the stuff to the the taxes to the, you
  1388. 53:54know, accountant. I never even knew how
  1389. 53:56much I was making or down on the year,
  1390. 53:59anything like that. I went for like nine
  1391. 54:01years not knowing my own net worth, you
  1392. 54:03know, and that was just I just liked
  1393. 54:04playing the game. That's it. I just
  1394. 54:06liked playing the game. And um now not
  1395. 54:10everybody is so fortunate that they have
  1396. 54:12that situation. I certainly don't have
  1397. 54:14that situation now. You know, it's me
  1398. 54:16and I handle everything.
  1399. 54:18But you have to learn to um
  1400. 54:24eliminate all the distractions I think
  1401. 54:26is very important. Keep your phone in
  1402. 54:28the kitchen, you know, keep uh the dogs
  1403. 54:31outside if they're going to bother you.
  1404. 54:33A lot of people have young children at
  1405. 54:36home, you know, set aside a special time
  1406. 54:38to be with them. But then when your
  1407. 54:40office when you're in the office, close
  1408. 54:43the doors. So, I come in in the morning.
  1409. 54:46I mean, I [clears throat] usually get
  1410. 54:47up, walk the dogs, feed the dogs, you
  1411. 54:50know, make my husband coffee, the that
  1412. 54:52type of stuff, and then I'll sit down in
  1413. 54:55my seat and I'll start, you know,
  1414. 54:57looking at the overnight action, where
  1415. 54:59are the gaps, making a few notes in my
  1416. 55:01plan, and uh just let the day roll from
  1417. 55:05there. I I try to walk in the morning
  1418. 55:07just for like 10 minutes, and like I'm
  1419. 55:10so grateful I live down here in Florida.
  1420. 55:12I'm always like, "Thank you, God. Thank
  1421. 55:14you, God." You know, just trying to say
  1422. 55:16uh some prayers.
  1423. 55:17>> These sound like general good practices.
  1424. 55:19I'm also curious on uh everyone has
  1425. 55:22their, as you're saying, their own
  1426. 55:23temperament, their own personality just
  1427. 55:24to share myself. I don't like being
  1428. 55:26wrong on the day. So, I found myself
  1429. 55:29taking one loser to 10 very quickly cuz
  1430. 55:31I just fighting the day. So, then I've
  1431. 55:33put rules in place like I two losses and
  1432. 55:35then I'm out for the day. I've also
  1433. 55:36found myself very irritable in a
  1434. 55:38position. So, I don't like holding
  1435. 55:40things for weeks cuz it's just one split
  1436. 55:41second of a misjudgment and I I ruin it
  1437. 55:44kind of thing. So, I've realized my
  1438. 55:45temperament and I've tried to build
  1439. 55:46systems around it as safeguards. But,
  1440. 55:48I've always wondered would my
  1441. 55:50temperament evolve? Could I even change
  1442. 55:52it? Could I could I improve it as
  1443. 55:53opposed to having to put guard rails? I
  1444. 55:55could make myself better in that way.
  1445. 55:57Have you found your temperaments when
  1446. 55:59you started out your career to have been
  1447. 56:01even present now and guardrails is the
  1448. 56:03best approach or are these things I
  1449. 56:04should work on?
  1450. 56:06You know, that's an interesting question
  1451. 56:09because as we mature, you know, and age,
  1452. 56:12um, it I I used to be very short if I
  1453. 56:15was interrupted. You know, if I'm
  1454. 56:17sitting there and I'm concentrating and
  1455. 56:19I'm just deep in my groove and somebody
  1456. 56:21walked into the room and asked me a
  1457. 56:23question, I'm like, you know, shut up.
  1458. 56:25You know, that type of thing. But in
  1459. 56:27general, I'm a very um downregulated
  1460. 56:31person. I'm very chill. It's hard for me
  1461. 56:35to be like too happy, too sad, too
  1462. 56:37anxious. I don't get really angry or mad
  1463. 56:40or else I've just internalized it. I uh
  1464. 56:43I I'm a game player, you know. I'm like,
  1465. 56:46you won't know what my cards are and I'm
  1466. 56:49not about to show you. Never. Never. You
  1467. 56:52know, and uh my mom used to say, she
  1468. 56:55used to always accuse me of being aloof,
  1469. 56:58you know. I'm aloof because I'm not
  1470. 57:00really interacting.
  1471. 57:02And uh
  1472. 57:04>> yes, I've I've
  1473. 57:07>> weird weird tangent, let's say, but
  1474. 57:09>> people that go through a lot of trauma
  1475. 57:11or people that go through a lot of
  1476. 57:12hardship do also become uh apathetic, I
  1477. 57:15think is the word. Kind of just neutral
  1478. 57:16down the middle. And I guess in the
  1479. 57:18markets, that's that's amazing. Like
  1480. 57:20you're you're not too invested into a
  1481. 57:22position. You're not too burdened by a
  1482. 57:23loss. So I guess that's where you would
  1483. 57:24want to be. But I guess in the outside
  1484. 57:26life, that's that's a problem, I guess.
  1485. 57:28Um, is have you found this to be some
  1486. 57:30sort sort of advantage in the markets or
  1487. 57:32is this something you've trained or is
  1488. 57:34this just a personality style you've
  1489. 57:35had?
  1490. 57:36>> I I think it's just who I am. I think
  1491. 57:38that uh, you know, I've always loved
  1492. 57:41playing games and, you know, game theory
  1493. 57:43and all that. My mind is like I do math
  1494. 57:46and uh, notes better. I don't do good
  1495. 57:49with words. I mean, which is kind of
  1496. 57:51sad. My mom was an English teacher and I
  1497. 57:54always flunked my vocabulary tests. you
  1498. 57:56know, it's like words, you know, that
  1499. 57:58gets me anxious, you know, but um and I
  1500. 58:02I had a lot of knocks, you know, when I
  1501. 58:05was younger. So, I think that life's
  1502. 58:07experience builds you up a very thick
  1503. 58:09skin. I just have a very thick skin.
  1504. 58:12Now, that's something I have had to be
  1505. 58:15aware of because
  1506. 58:17um my husband's Greek [laughter] and as
  1507. 58:20they say, Greeks wear their emotions on
  1508. 58:22their sleeves, right? So, now we have
  1509. 58:25Mr. emotional Greek stallion here and
  1510. 58:29Miss Blonde Ice Queen. [laughter]
  1511. 58:33>> Yes, I can imagine.
  1512. 58:34>> And you know, it's like any
  1513. 58:36relationship, you have to just be
  1514. 58:38mindful and you know, as we age,
  1515. 58:42recognize things and then make an
  1516. 58:45improvement to reach out to other
  1517. 58:47people. The exact reason I mentioned
  1518. 58:49that was this has been my experience to
  1519. 58:50in my marriage where I guess it's been
  1520. 58:52helpful in in in the markets to be let's
  1521. 58:54say stoic but in outside life it does
  1522. 58:56become consideration let's say this is
  1523. 58:59all building up to towards this word
  1524. 59:01intuition you're talking about
  1525. 59:02experience weathering storms and um yeah
  1526. 59:05market IQ and all these things build
  1527. 59:07some sort of subconscious wiring that
  1528. 59:09maybe you can't put your finger on upon
  1529. 59:11it and you could call that intuition and
  1530. 59:13because you are a discretionary trader
  1531. 59:14it means you will deploy your intuition
  1532. 59:16whereas a quantity meditative person
  1533. 59:18would say, "How do I differentiate
  1534. 59:22greed, anger, fear, revenge as
  1535. 59:24intuition?" And it's just a bad idea.
  1536. 59:26I'm masking as my sixth sense. I'm
  1537. 59:28curious to know how can you turn
  1538. 59:31intuition into some sort of science?
  1539. 59:32Should I trust it? When can I know to
  1540. 59:34trust my intuition? Because I haven't in
  1541. 59:36my whole career. I've tried not to at
  1542. 59:37least. Um, and I might be missing
  1543. 59:40something.
  1544. 59:41>> I've never made a trade off of
  1545. 59:43intuition. Okay? I don't I don't do
  1546. 59:45that. um I will make a trade based off
  1547. 59:50of a a signal which could be a pattern a
  1548. 59:53a you know some condition like that.
  1549. 59:55Okay.
  1550. 59:56>> I also want to get into this idea of
  1551. 59:58flow state. Now athletes get into flow
  1552. 1:00:00state. You would even tell me even when
  1553. 1:00:02you're reading a book you're so immersed
  1554. 1:00:03you're in flow state. So immersion I
  1555. 1:00:05think that's that's a good word. Uh
  1556. 1:00:07intuition I'm undecided to be honest.
  1557. 1:00:09Flow state I I find it a bit fickle. I I
  1558. 1:00:12don't really understand what it is. Can
  1559. 1:00:14you help me understand how a trader can
  1560. 1:00:16enter this state of flow and how we
  1561. 1:00:19could better them?
  1562. 1:00:20>> I would be willing to bet that every
  1563. 1:00:23single one of your viewers has
  1564. 1:00:25experienced a flow state at one point at
  1565. 1:00:28one area in their life. Perhaps it came
  1566. 1:00:31through sports. Perhaps you're just
  1567. 1:00:33jogging and it feels effortless and
  1568. 1:00:36easy. Um, I was reading the book by
  1569. 1:00:39Steven Cutotler, K O T L E R, and he
  1570. 1:00:42said that every time he goes skiing, he
  1571. 1:00:45enters into a flow state where it's just
  1572. 1:00:48easy. Um, 5 hours could pass and it only
  1573. 1:00:51feels like it's one hour. It's
  1574. 1:00:54effortless.
  1575. 1:00:55Um, another parallel term that you could
  1576. 1:01:00use is single-mindedness.
  1577. 1:01:03Okay. So, for example, when I used to
  1578. 1:01:05practice the piano, I was very
  1579. 1:01:09single-minded, just focusing on the
  1580. 1:01:12piano, the notes, and you know, once it
  1581. 1:01:15becomes easier and you've worked through
  1582. 1:01:17the technicals,
  1583. 1:01:19then it's like you could just close your
  1584. 1:01:21eyes and play not quite like Stevie
  1585. 1:01:23Wonder, you know, and that is for sure a
  1586. 1:01:25wonderful flow state. So, tennis, golf,
  1587. 1:01:30and trading when you're just absorbed
  1588. 1:01:32into the screens and you feel like you
  1589. 1:01:35can eat and breathe with the swings on.
  1590. 1:01:39>> So, I guess there's two terms I'm
  1591. 1:01:40mixing. Number one is like a tennis
  1592. 1:01:42player. He's just really good at a
  1593. 1:01:44backhand, but he doesn't exactly know
  1594. 1:01:46why. It's not like he's studied it and
  1595. 1:01:48the arm position and it's not a science.
  1596. 1:01:50He's just done so many repetitions, it's
  1597. 1:01:51become automatic, and then this feedback
  1598. 1:01:53loop of I did this and it worked. I'm
  1599. 1:01:54going to keep doing that. that I would
  1600. 1:01:57maybe say is like a subconscious
  1601. 1:01:59competence. Uh but I wonder if that
  1602. 1:02:01applies this flow state or subconscious
  1603. 1:02:03competence. I can do that when I'm
  1604. 1:02:04driving. When I'm walking, I'm not
  1605. 1:02:06thinking about my posture and the steps
  1606. 1:02:08and the terrain in front of me. I just I
  1607. 1:02:09just walk. But when it when it requires
  1608. 1:02:11critical thinking when it's like
  1609. 1:02:13decision- making of weighing up the pros
  1610. 1:02:14and cons which the markets is can you
  1611. 1:02:16enter subconscious competence flow
  1612. 1:02:18states and this like um automatic way of
  1613. 1:02:22being or will you always have to come
  1614. 1:02:23into a state of thinking and
  1615. 1:02:25consciousness and being totally aware of
  1616. 1:02:27everything
  1617. 1:02:28>> you know I mean when I do my best
  1618. 1:02:30trading I am not thinking [laughter] I'm
  1619. 1:02:33like okay it went up it just test
  1620. 1:02:36rejected that price I can tell you the
  1621. 1:02:38thought process I can tell you exactly
  1622. 1:02:40what's happening. We just went up and
  1623. 1:02:42tested that previous high and came down
  1624. 1:02:44so quickly. That's a test reject. There
  1625. 1:02:46was no volume up there. That was the top
  1626. 1:02:49and you're going to start ratcheting
  1627. 1:02:51down the other side. But I've seen this
  1628. 1:02:54so many times. I'm not verbally
  1629. 1:02:56processing it. Okay. I think a lot of
  1630. 1:02:59traders can make the mistake of saying a
  1631. 1:03:01gut feeling, a six sense, some magical
  1632. 1:03:03power is my intuition. And and here it
  1633. 1:03:06seems like you are quantifying it. It is
  1634. 1:03:08pattern recognition. It's just something
  1635. 1:03:10that you haven't put to paper.
  1636. 1:03:12>> Whereas I'm also curious on
  1637. 1:03:14>> there is certain thing as form. Like if
  1638. 1:03:16I'm playing basketball and I've got five
  1639. 1:03:18in a row, I might there's probably a
  1640. 1:03:20better chance of me getting this into
  1641. 1:03:21the sixth one because well I don't know
  1642. 1:03:23it's just I'm on a roll. Let's say can
  1643. 1:03:25that flow
  1644. 1:03:27>> that would be flow.
  1645. 1:03:28>> Sure. It feels easy. You know that b
  1646. 1:03:31it's just free from outcome. There was a
  1647. 1:03:33quote that Stephen Cutotler used and I
  1648. 1:03:36think it was Michael Jordan and he said
  1649. 1:03:38that when he's in that feeling of flow
  1650. 1:03:39and he's going for his windmill dunk or
  1651. 1:03:42whatever the hell he did, you know, he
  1652. 1:03:44said that hoop is like the size of a
  1653. 1:03:46hula hoop.
  1654. 1:03:48>> That's what it felt like to him just
  1655. 1:03:50open and waiting for him.
  1656. 1:03:52>> It's very interesting.
  1657. 1:03:53>> Yeah.
  1658. 1:03:53>> Do you think that uh comes with time or
  1659. 1:03:56or can even a newer trader harness this
  1660. 1:03:58sense of flow?
  1661. 1:04:00I think it just comes from your passion
  1662. 1:04:02in doing this and being able to
  1663. 1:04:04eliminate the other distractions that
  1664. 1:04:07cause anxiety. You can't experience a
  1665. 1:04:10flow state when you are also feeling
  1666. 1:04:12anxious. It's going to make you tense.
  1667. 1:04:16Um, so you have to be able to let go of
  1668. 1:04:20the anxiety and feel relaxed. And I am
  1669. 1:04:23not an expert in this area by any means,
  1670. 1:04:25but there is so much information that
  1671. 1:04:27people can Google on the internet. And I
  1672. 1:04:30even believe that uh I think it was
  1673. 1:04:33Steven Cutotler even gave some exercises
  1674. 1:04:36that you could do if you wanted to try
  1675. 1:04:38and get into the flow state. So um
  1676. 1:04:41>> Oh, interesting.
  1677. 1:04:42>> resource.
  1678. 1:04:44>> I can imagine anybody can get into a
  1679. 1:04:45flow state when they're on a roll. It's
  1680. 1:04:47going easy. They're five winners deep.
  1681. 1:04:49But can you access this mindset when
  1682. 1:04:51you're losing, when you're in draw down,
  1683. 1:04:53because I suppose that's when it's most
  1684. 1:04:54useful.
  1685. 1:04:56>> I think that if you're good at the flow,
  1686. 1:04:59it's playing the game. And it doesn't
  1687. 1:05:02matter if you just won or if you just
  1688. 1:05:04lost. Okay? It's like when I'm playing
  1689. 1:05:07cards, and I love playing cards, if it's
  1690. 1:05:09Jin Rummy or Bridge or Backim, you know,
  1691. 1:05:12any of those games, right?
  1692. 1:05:14>> It's the process of playing. It's it's
  1693. 1:05:18you know I'm not a chess player by any
  1694. 1:05:20means but it's still being in the game
  1695. 1:05:24and it doesn't matter if you just won or
  1696. 1:05:26just lose. Now if you've let yourself
  1697. 1:05:28get sloppy and out of control and that
  1698. 1:05:31draw down starting to become bothersome
  1699. 1:05:34you're not in a flow state there. But
  1700. 1:05:36you know it's like counting cards and
  1701. 1:05:39it's just like same thing when a a a
  1702. 1:05:41great lesson for people to do. They
  1703. 1:05:44don't have to trade this way, but they
  1704. 1:05:47might want to do it on paper for a
  1705. 1:05:49little bit. Come up with a volatility
  1706. 1:05:51breakout system. There's a zillion
  1707. 1:05:53versions out there. Do it on paper,
  1708. 1:05:56okay? Because the nice thing about a
  1709. 1:05:58volatility breakout system, and you're
  1710. 1:06:01not going to get rich trading one, I
  1711. 1:06:02promise that, is that the entry is well
  1712. 1:06:05defined, the exit's well defined, the
  1713. 1:06:08stop is well defined. You know, you
  1714. 1:06:10could even enter and exit end of day.
  1715. 1:06:12How simple is that? If your stop isn't
  1716. 1:06:14hit, very simple. And now do that on
  1717. 1:06:18paper with five different markets. Each
  1718. 1:06:21market should give about two trades per
  1719. 1:06:23week. And just write it down. Write it
  1720. 1:06:26down. Write it down. And it's like
  1721. 1:06:27flipping the cards over. Is it red?
  1722. 1:06:29Flipping the cards over. Is it black?
  1723. 1:06:31Here was a winner. Here was a loser.
  1724. 1:06:33Here was a winner. Here was a loser. And
  1725. 1:06:35you totally desensitize yourself to the
  1726. 1:06:38wins and the losses. It's like, no,
  1727. 1:06:40you're just playing the game and staying
  1728. 1:06:43in the process.
  1729. 1:06:44>> I I I watched a video on this exact
  1730. 1:06:46topic and it was the aha moment for me
  1731. 1:06:48was like, you know, when you play a
  1732. 1:06:50song, are you just trying to get to the
  1733. 1:06:51end of it or is it the enjoyment of
  1734. 1:06:53listening to it? Well, marriage is the
  1735. 1:06:55goal to just like get to the end of it
  1736. 1:06:56or it's the process of it. Maybe at
  1737. 1:06:58times it might feel out of the way, but
  1738. 1:07:00the idea being that I guess when you're
  1739. 1:07:02playing for the love of the game and
  1740. 1:07:04trading I guess is a hard path and it's
  1741. 1:07:06only in if you find a passion and an
  1742. 1:07:08enjoyment and the stimulation of trying
  1743. 1:07:10to solve it. If that's a calling for you
  1744. 1:07:12is probably where you will naturally
  1745. 1:07:14thrive because you're not trying to aim
  1746. 1:07:15for the the goalpost for the end finish
  1747. 1:07:17line. It's in the process. Very
  1748. 1:07:19interesting. I want to explore now um
  1749. 1:07:22this idea that I I wanted to get into
  1750. 1:07:23sooner but I like this uh topic that we
  1751. 1:07:26just covered the price action signature
  1752. 1:07:28of price flushing levels uh goes and
  1753. 1:07:31then creates a vacuum void and then
  1754. 1:07:32you're trading in the opposite direction
  1755. 1:07:35uh especially on a day trading or a
  1756. 1:07:36scalping perspective. I I see this
  1757. 1:07:38happen constantly. The the thing is
  1758. 1:07:40there's a lot of pivot points or these
  1759. 1:07:42inflection points where it could happen.
  1760. 1:07:44But the hard part is to know what is a
  1761. 1:07:45breakout and it's going to continue
  1762. 1:07:47versus it's a flush and it's going to
  1763. 1:07:49reverse because at that inflection point
  1764. 1:07:51it it could go either way and I'm
  1765. 1:07:53betting on one side. So then I've always
  1766. 1:07:55explored okay is it what I'm taking on
  1767. 1:07:57the left is it a high of previous day
  1768. 1:07:58high of previous week is it a daily
  1769. 1:08:00pivot and you can have a long list of
  1770. 1:08:02things or is it in the reaction type
  1771. 1:08:04that I should quantify and say this is
  1772. 1:08:06giving me certainty when I'm in that
  1773. 1:08:08moment of price has broken out and I'm
  1774. 1:08:10looking to sell cuz I'm thinking it's a
  1775. 1:08:11flush when another person is thinking
  1776. 1:08:13it's a momentum it's a breakout how can
  1777. 1:08:14I make sure I'm on the right side of the
  1778. 1:08:16fence
  1779. 1:08:17what if you can't what if there is no
  1780. 1:08:20such thing as certainty
  1781. 1:08:22>> or at least have the odds in my favor or
  1782. 1:08:24manage it. Manage the loss or manage the
  1783. 1:08:26outcomes.
  1784. 1:08:27>> Well, you want to manage it. That's for
  1785. 1:08:28sure. You should know when you enter,
  1786. 1:08:30how much room are you going to give that
  1787. 1:08:33and what is it going to look like where
  1788. 1:08:34it starts to fail.
  1789. 1:08:35>> I like how you always stop me when I
  1790. 1:08:36speak in absolutes, which you mentioned.
  1791. 1:08:38I Yes. I just want to get into
  1792. 1:08:39frameworks around price is doing this.
  1793. 1:08:42Uh these are the correct things I should
  1794. 1:08:43be doing to not know, but at least have
  1795. 1:08:45things in my favor to know I should be
  1796. 1:08:47selling in this area and know it's not a
  1797. 1:08:49bullish breakout.
  1798. 1:08:51You know, it's um you can print off
  1799. 1:08:54charts at the end of the day and circle
  1800. 1:08:56where you're getting in and out. And
  1801. 1:08:57then with the benefit of hindsight, you
  1802. 1:09:00can look, was it in the middle of the
  1803. 1:09:02day at lunchtime when nobody's around?
  1804. 1:09:05Was there a news event? Was there a
  1805. 1:09:07catalyst for it? Um you know, what do
  1806. 1:09:11the good ones look like? If it is a good
  1807. 1:09:14one, how much should it back up against
  1808. 1:09:16me if my entry is correct? So you can
  1809. 1:09:18start doing that type of modeling in
  1810. 1:09:21terms of how much excursion it'll do on
  1811. 1:09:24either side of your entry price and then
  1812. 1:09:27you can come up with a statistical
  1813. 1:09:29measurement of it should not go beyond
  1814. 1:09:31this point if it's going to be a good
  1815. 1:09:33trade.
  1816. 1:09:34>> What did you mean by excursion? Is it
  1817. 1:09:35like the amount of displacement?
  1818. 1:09:37>> Yeah. How much is it going to go on
  1819. 1:09:39either side of your entry price? You
  1820. 1:09:41know.
  1821. 1:09:42>> Okay.
  1822. 1:09:42>> Yeah. So you're not you're not
  1823. 1:09:44necessarily looking at technical things
  1824. 1:09:46on the chart to place your entry and
  1825. 1:09:48stop or profit targets. It's more these
  1826. 1:09:50data sets around ATRs.
  1827. 1:09:52>> No, not at all. If you're looking for
  1828. 1:09:54breakouts, breakouts usually imply that
  1829. 1:09:58you are pulling out of either a a
  1830. 1:10:01previous trading range or consolidation
  1831. 1:10:04or high volume node. if it's in the
  1832. 1:10:07middle of the chart. You can have a
  1833. 1:10:08breakout that's a channel breakout which
  1834. 1:10:11is taking out the highest high of the
  1835. 1:10:12last n number bars. But you can equally
  1836. 1:10:15have a breakout if let's say you've done
  1837. 1:10:18an ABC type of thing down and you have a
  1838. 1:10:21little pattern at the bottom of that
  1839. 1:10:23swing. You could have a break out to the
  1840. 1:10:25upside where you're getting impulse up
  1841. 1:10:27and that's still got a long ways to run.
  1842. 1:10:30So break out per se doesn't necessarily
  1843. 1:10:33mean going above the highest high or the
  1844. 1:10:35lowest low. I mean one of the popular
  1845. 1:10:39patterns is a breakout from a little
  1846. 1:10:41three bar coil there just three daily
  1847. 1:10:44bars which is powerful because you have
  1848. 1:10:47a built up a little bit of an
  1849. 1:10:49equilibrium point where everybody's in
  1850. 1:10:52agreement. there's price bar overlap.
  1851. 1:10:55And so once you start to pull out of one
  1852. 1:10:58of those areas, one side is going to be
  1853. 1:11:01on the wrong side or else you're going
  1854. 1:11:03to want to pull new monies in. So it
  1855. 1:11:07sort of depends on the configuration
  1856. 1:11:09that you are breaking out from. I've
  1857. 1:11:11spoken to a variety of guests on the
  1858. 1:11:13show and a unanimous common denominator
  1859. 1:11:15between all of them is the emphasis they
  1860. 1:11:17put on data and actually knowing the
  1861. 1:11:18inner workings and the insight of your
  1862. 1:11:20edge and your performance. That's why
  1863. 1:11:21I'm proud to bring a partner of the
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  1877. 1:11:44there is no additional work. You've seen
  1878. 1:11:46me reference it dozens of times and all
  1879. 1:11:48of the benefits I've had in my trading
  1880. 1:11:49from the insights I found from my trades
  1881. 1:11:51earlier. So join myself and thousands of
  1882. 1:11:53other viewers of the show. You'll get
  1883. 1:11:54the best discount using the link in the
  1884. 1:11:56description or code toot for Titans of
  1885. 1:11:58Tomorrow.
  1886. 1:12:00I believe almost a decade ago you
  1887. 1:12:02stopped the money management side and
  1888. 1:12:04now you've been trading your own own
  1889. 1:12:05capital since. I wonder what that
  1890. 1:12:07transition's been like when managing
  1891. 1:12:09large capital versus managing your own
  1892. 1:12:11answerable to investors XY Z. I'm
  1893. 1:12:13curious if your trading style has
  1894. 1:12:14evolved or frameworks, mental
  1895. 1:12:16frameworks. Has there been any uh change
  1896. 1:12:18in that transition?
  1897. 1:12:20>> It's called being retired. [laughter]
  1898. 1:12:22>> Okay. Okay. So, why why have you
  1899. 1:12:24continued to then trade in general?
  1900. 1:12:26>> Because it's like the best game in the
  1901. 1:12:28whole world. Come on. I mean, it's like
  1902. 1:12:30I'll never stop trading. It's just like
  1903. 1:12:32it's fun. But, uh I you know, I tried to
  1904. 1:12:36pull myself away from it and that's when
  1905. 1:12:38I wrote that book, the Trading Sardines
  1906. 1:12:40book, which took me like three years to
  1907. 1:12:42write. Believe it or not, I'm a horrible
  1908. 1:12:43writer. Every word was painfully eaked
  1909. 1:12:46out. But um you know, and what had
  1910. 1:12:49happened was with the fund, it started
  1911. 1:12:52to feel like more like running a
  1912. 1:12:55business as opposed to just the pure joy
  1913. 1:12:58of trading. So now all of a sudden, I'm
  1914. 1:13:01I've got the auditors, I've got the
  1915. 1:13:03accountants, I've got the attorneys
  1916. 1:13:05writing blue sky laws, I've got like,
  1917. 1:13:07you know, so many different moving
  1918. 1:13:09parts. you know, my IT guy, the on and
  1919. 1:13:13on and and then my data fees, the stupid
  1920. 1:13:16exchanges because I had multiple feeds
  1921. 1:13:18for multiple entities under me. All of a
  1922. 1:13:21sudden, my data feeds were like $7,000 a
  1923. 1:13:24month. And I'm like, this is not fun
  1924. 1:13:26anymore. You know, I'm not doing what I
  1925. 1:13:29enjoy doing. So, I that's when I sort of
  1926. 1:13:31packed it in. And um and yeah, I don't
  1927. 1:13:35have to trade another day in my life.
  1928. 1:13:37But you know what? here. I got, you're
  1929. 1:13:40looking at me, I got broken ribs, torn
  1930. 1:13:43rotator cuff, up leg from getting
  1931. 1:13:45bucked off a horse, right? And so for
  1932. 1:13:47the last couple weeks, I'm like, aha,
  1933. 1:13:49I've got so many more tools available
  1934. 1:13:51now, you know, with uh the AI, the uh,
  1935. 1:13:55you know, regenerative learning and the
  1936. 1:13:57deep neural net, and I can I can use
  1937. 1:13:59this database and I can write to the
  1938. 1:14:01rhythmic API and da da da da da, and I'm
  1939. 1:14:04going to have some fun with this, right?
  1940. 1:14:06So, it's like a new game and I'm going
  1941. 1:14:09down rabbit holes. I'm doing this like
  1942. 1:14:1020 hours a day and I just love it, you
  1943. 1:14:12know, because it's a challenge.
  1944. 1:14:15>> Do you feel individuals leveraging AI
  1945. 1:14:17and what it can do for us now is a bit
  1946. 1:14:20of a time void and and maybe not
  1947. 1:14:21focusing on the right thing or is it
  1948. 1:14:23something actually very useful that we
  1949. 1:14:24can use to better ourselves in the
  1950. 1:14:25markets?
  1951. 1:14:26>> AI can be used in two distinct purposes
  1952. 1:14:29for the markets. The first is it's
  1953. 1:14:31wonderful. I don't really use it in this
  1954. 1:14:33capacity, but it's wonderful for
  1955. 1:14:35streamlining your process. I mean, a lot
  1956. 1:14:38of trading operations involve grunt
  1957. 1:14:40work, okay? And the AI can do a lot of
  1958. 1:14:43that grunt work for them. Um, and in
  1959. 1:14:46terms of the processes, the research,
  1960. 1:14:48the modeling, the statistics, all that
  1961. 1:14:50sort of stuff. Um, huge savings in time,
  1962. 1:14:55especially for coding purposes like you
  1963. 1:14:57know, Claude and uh, you know, Fable 5.1
  1964. 1:15:00and Opus. there's like it's amazing what
  1965. 1:15:03they can do now even coding Python and
  1966. 1:15:05stuff which is sort of a necessary uh
  1967. 1:15:08integration to writing to the APIs. So
  1968. 1:15:12um that's one way that you can harness
  1969. 1:15:15AI where it's supporting you in doing
  1970. 1:15:18your things. Then there's the other way
  1971. 1:15:21in using AI. It's not going to work with
  1972. 1:15:24the LLMs, you know, those large language
  1973. 1:15:26models. So throw chatttp and claude and
  1974. 1:15:29all these other ones out the window. You
  1975. 1:15:30can use parts of them for a component,
  1976. 1:15:33but now you're stringing several
  1977. 1:15:35different pieces together. And let's say
  1978. 1:15:38perhaps I want to train something on a
  1979. 1:15:40pattern, which is a different approach.
  1980. 1:15:43You know, I mean, there's two sides to
  1981. 1:15:45the coin. You've got your neural nets,
  1982. 1:15:48your deep neural nets, okay, where you
  1983. 1:15:50just feed them a ton of data, a ton of
  1984. 1:15:52data, and they're going to learn things
  1985. 1:15:54on their own and stuff. And then you've
  1986. 1:15:55got the regenerative learning where
  1987. 1:15:58through the repetition it's going to
  1988. 1:16:00correct and teach itself.
  1989. 1:16:02And there is a way to use them together,
  1990. 1:16:05right? Are we having fun yet, boys and
  1991. 1:16:07girls? Huh? There's a way to use them
  1992. 1:16:10together. You have the nice clean
  1993. 1:16:12database and you know some little
  1994. 1:16:14things.
  1995. 1:16:15>> I want to um wrap up with advices.
  1996. 1:16:19number one that is you were in the S&P
  1997. 1:16:21since the beginning and then you went
  1998. 1:16:23through the the the phone way call your
  1999. 1:16:25broker and you don't know when you
  2000. 1:16:26executed until he confirmed it and then
  2001. 1:16:28through digitalization and then the
  2002. 1:16:30internet and XY Z and now we're at a
  2003. 1:16:32time where Jane Street and nano
  2004. 1:16:33executions and quantum supercomputers XY
  2005. 1:16:35Z and it can feel like this time is
  2006. 1:16:37different and now the markets might
  2007. 1:16:39change and we're entering a time of
  2008. 1:16:40uncertainty and should I even be worried
  2009. 1:16:43about this or is this just
  2010. 1:16:44fear-mongering? I'm I'm yeah interested
  2011. 1:16:47in your approach or forecasting of
  2012. 1:16:49what's likely around the corner in the
  2013. 1:16:50near future with the rise of recent
  2014. 1:16:52technologies.
  2015. 1:16:54>> You know um it's not like we're here
  2016. 1:16:57today and two weeks ago we were here.
  2017. 1:17:00Change is such a gradual insidious
  2018. 1:17:04morphing.
  2019. 1:17:06So we've been changing every single year
  2020. 1:17:09for the last 40 years. you know, the
  2021. 1:17:12servers, the connectivity,
  2022. 1:17:15all this stuff. I mean, if anything, I
  2023. 1:17:17was reading this fabulous article um uh
  2024. 1:17:21written by this guy on the internet
  2025. 1:17:23explaining how we have the tools that we
  2026. 1:17:27can do exactly what Renaissance
  2027. 1:17:30Medallion Fund does in terms of uh
  2028. 1:17:34constantly coming up with new
  2029. 1:17:36strategies, which is what you have to do
  2030. 1:17:37if you're in that field. Okay.
  2031. 1:17:40um they spend like $50 million, you
  2032. 1:17:44know, a month. The the data, the data
  2033. 1:17:46engineers, it's just like so crazy. You
  2034. 1:17:49can do it for $500 a month. We have
  2035. 1:17:51those tools available to us. You have
  2036. 1:17:54access to those types of pools of data,
  2037. 1:17:57you know, and API. Rhythmic's a great
  2038. 1:17:59API, you know, so there's or if you get
  2039. 1:18:02that good, you can write your own
  2040. 1:18:03gateways for Lollicare. I love that
  2041. 1:18:05because that's actually a very
  2042. 1:18:07empowering response where people can
  2043. 1:18:08feel like pessimistic that AI is going
  2044. 1:18:10to make a harder and worse whatever but
  2045. 1:18:12in fact is democratized democraing the
  2046. 1:18:15playing field
  2047. 1:18:16>> to what was once a hidden advantage for
  2048. 1:18:17them because of their capital and access
  2049. 1:18:19to talent is now I can do it with a
  2050. 1:18:21couple hundred dollars of subscriptions
  2051. 1:18:23uh which is actually yeah you're right
  2052. 1:18:24it's very powerful last thing I want to
  2053. 1:18:26ask is around longevity in the markets
  2054. 1:18:30and a lot of traders have had a good
  2055. 1:18:31year maybe a good couple of years but
  2056. 1:18:34longevity in the markets I'm sure is
  2057. 1:18:35another battle or mountain to climb in
  2058. 1:18:37itself. Any thoughts or recommendations
  2059. 1:18:39on that front?
  2060. 1:18:41Stay healthy. [laughter]
  2061. 1:18:43You know, it's not just a healthy body
  2062. 1:18:45because that's what gives us energy,
  2063. 1:18:48you know. Okay, you don't have to be
  2064. 1:18:50perfectly in your clean eating. Trust
  2065. 1:18:52me, I I put on a few pounds the last
  2066. 1:18:54couple months, but um you know, it's
  2067. 1:18:57important to exercise. that gets oxygen
  2068. 1:18:59to the brain and you have to have a
  2069. 1:19:02healthy body to have a healthy mind. And
  2070. 1:19:05so in terms of longevity
  2071. 1:19:08and I think even more important is your
  2072. 1:19:11energy level. Energy is like a the most
  2073. 1:19:16precious resource there is our energy
  2074. 1:19:20level. And if you've noticed, people
  2075. 1:19:22will tend to be attracted to other
  2076. 1:19:25people that have high pure energy
  2077. 1:19:27levels. You know, nobody wants to be
  2078. 1:19:30around a pill that's just sitting there,
  2079. 1:19:32you know, with negative energy. So, go
  2080. 1:19:36back and take a holistic reproach. You
  2081. 1:19:38know, even though we've been talking
  2082. 1:19:39about a very dry topic, markets and so
  2083. 1:19:42forth, and go back and you want to be in
  2084. 1:19:45this business, fun.
  2085. 1:19:48Fun is very important. you know, because
  2086. 1:19:51it releases all the tension and stress,
  2087. 1:19:55humor, of course, your energy level,
  2088. 1:19:58which is dependent on exercise and sleep
  2089. 1:20:01and all those kinds of things that they
  2090. 1:20:03preach to you. And uh then you've got
  2091. 1:20:06all the ingredients to be in the best
  2092. 1:20:09game for your life for the next 50 years
  2093. 1:20:11if you want, you know, and you so many
  2094. 1:20:14good examples around us. I mean, Warren
  2095. 1:20:18Buffett, come on. The dude's making
  2096. 1:20:20trades in his bathtub 10 years ago,
  2097. 1:20:23right? You know, at the crash, he's
  2098. 1:20:24like, "Oh, I think I'll do some Bank of
  2099. 1:20:26America, you know, in his bathtub
  2100. 1:20:28there." It's like, and he's in his, I
  2101. 1:20:30don't know, late 80s at that time.
  2102. 1:20:31>> I think there's a there's a message in
  2103. 1:20:33there that a lot of traders come to the
  2104. 1:20:35markets because they want to better
  2105. 1:20:36their financial situation. And it
  2106. 1:20:38becomes a very short-sighted objective.
  2107. 1:20:40But then when I look around at the
  2108. 1:20:41people I've spoken on the show, uh, they
  2109. 1:20:43retire but never stop. Even Larry
  2110. 1:20:45Williams, I asked him, "Hey man, you're
  2111. 1:20:46in your 80s. uh any plans of like
  2112. 1:20:49slowing down? He's like, "Yeah, I've
  2113. 1:20:50been thinking about that every year for
  2114. 1:20:52the last 10 years and I haven't." Even
  2115. 1:20:53Perry like bless him. I think he must be
  2116. 1:20:56mid 80s at this point.
  2117. 1:20:57>> And yeah, just as active as ever. And I
  2118. 1:21:00asked him, you know, why? And he said,
  2119. 1:21:01"Look, it keeps my mind active and
  2120. 1:21:03sharp." And I know the moment I give up
  2121. 1:21:05the markets, I deteriorate mentally. So,
  2122. 1:21:06I was like, everybody that's falls in
  2123. 1:21:08love with the game or gets into the game
  2124. 1:21:10for the right reasons stays for forever
  2125. 1:21:12because they find the beauty and fun and
  2126. 1:21:13the the stimulation within it, which I
  2127. 1:21:15think is a a wonderful message to end up
  2128. 1:21:17on. Linda, I want to thank you very much
  2129. 1:21:18for your time and giving us the
  2130. 1:21:19opportunity to host you.
  2131. 1:21:21>> Thank you for having me. It's uh it was
  2132. 1:21:23fun. You're a good interview. I'm glad
  2133. 1:21:25to hear. That was a lot of fun. Thank
  2134. 1:21:26you.

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