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I Gave My Goldfish $50,000 to Trade Stocks — Transcript

by Michael Reeves · 3,108 words · 437 segments · language en · Watch on YouTube

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  1. 0:032 30 a.m
  2. 0:04time to rise and grind first thing i do
  3. 0:07is grab breakfast wish i had time to
  4. 0:09cook but i'm far too busy for that
  5. 0:14it's been six months since i quit
  6. 0:15youtube to trade stocks full time social
  7. 0:18media is nice and all that i like to get
  8. 0:20the day started with just a nice casual
  9. 0:22drug just relax the body you know get
  10. 0:24your blood pumping get a good start to
  11. 0:25the day
  12. 0:26but the real money is in the stock
  13. 0:28market now we can finally get to work
  14. 0:33stock options futures derivatives
  15. 0:35derivative futures buy come coin take
  16. 0:37all your savings put in the [ __ ] coins
  17. 0:39they trade that option trade that stock
  18. 0:41cover point is worthless i think every
  19. 0:43last drop of my common points
  20. 0:45sell it all off sell it
  21. 0:49got it and that's just a day in the life
  22. 0:51of a stock trader baby i executed the
  23. 0:53stock trade and it gave me money so make
  24. 0:55sure to tune in next time for listen i
  25. 0:58don't know how to trade stocks man i
  26. 1:00lost all my money on robin hood i have
  27. 1:02no idea what i'm doing if only there was
  28. 1:05something that could trade stocks for me
  29. 1:08[Music]
  30. 1:13hi i want to give my goldfish frederick
  31. 1:16the ability to trade stocks now i know
  32. 1:18what you're thinking michael you own a
  33. 1:19goldfish and michael why haven't you
  34. 1:21posted a video in eight months
  35. 1:26anyways this is my life
  36. 1:29yeah right right
  37. 1:31right right here we track frederick's
  38. 1:32position anywhere he is in the tank then
  39. 1:34every morning when the stock market
  40. 1:36opens he'll be prompted with two random
  41. 1:38companies he'll choose one by spending
  42. 1:39more time on that side of the tank then
  43. 1:41the computer will take his decision and
  44. 1:43buy that stock with the money of whoever
  45. 1:45is sponsoring this video but before any
  46. 1:47of that we need to track fish you might
  47. 1:49think i built my fish tank against a
  48. 1:50blank white wall because it provides
  49. 1:52ample lighting and doesn't over
  50. 1:53stimulate my fish wrong i did it so i
  51. 1:56can write the detection software to just
  52. 1:57look for orange pixels of the fish and
  53. 1:59it won't get [ __ ] up by a shitty messy
  54. 2:01background here's some code i wrote that
  55. 2:02displays what the camera sees it's not
  56. 2:04much but we can add a function in that
  57. 2:06filters out specific colors like
  58. 2:08apartheid then we can tell that function
  59. 2:09to filter out every color that isn't
  60. 2:11orange now this is kind of a complicated
  61. 2:12coding thing so just try to keep up with
  62. 2:14this
  63. 2:16boom we got a color mask but it has
  64. 2:17these little speckles of [ __ ] in it we
  65. 2:19just gotta sprinkle some post-processing
  66. 2:20coat on there and clean it right up i
  67. 2:22did not have to google how to do that
  68. 2:23shut the [ __ ] up then we take that
  69. 2:24post-process image find the location
  70. 2:26there's a little blob of pixels draw a
  71. 2:28circle around it then take that circle
  72. 2:29copy it draw it on the original image
  73. 2:31bada bing bada boom tracking fish fish
  74. 2:34track and honestly that was most of the
  75. 2:35hard part i just added some random stuff
  76. 2:37like the tickers and some logic and i
  77. 2:39think we're ready to test it without
  78. 2:40actual money because i don't know if it
  79. 2:41works
  80. 2:42all right so you should see these lights
  81. 2:44turn on including the fish tank one
  82. 2:46because it's wired into this relay box
  83. 2:48over there and the program should should
  84. 2:50turn them on automatically any time any
  85. 2:52time it will turn them god [ __ ] down
  86. 2:54is it broke no no the lights are on boom
  87. 2:55stick tigger's at the top boom the fish
  88. 2:57is choosing he's favoring the mo one
  89. 2:59what'll it be oh what's he gonna do oh
  90. 3:01my god
  91. 3:04the fish bought stuck well i mean he
  92. 3:06didn't buy the stock but like he chose a
  93. 3:08stock this is amazing he bought ultria
  94. 3:10over boeing good excellent choice i
  95. 3:12think we're ready to hook it up to the
  96. 3:13actual stock market it's actually going
  97. 3:15to be super easy there's like a million
  98. 3:16of these stock market apis that let you
  99. 3:18buy stocks with just a little bit of
  100. 3:20code i'm gonna use this one called
  101. 3:21alpaca api they're all pretty much the
  102. 3:22same though and really all i have to do
  103. 3:24is add a few lines to the fish code and
  104. 3:27yeah i guess i guess we're done yeah
  105. 3:29frederick can start trading stocks
  106. 3:30anytime i'm gonna go upstairs and start
  107. 3:32it
  108. 3:33what's that what is wall street bet
  109. 3:36wall street bets is a subreddit for
  110. 3:38[ __ ] who try to get rich quick on
  111. 3:40mean stocks
  112. 3:43like this idiot who recorded himself
  113. 3:45losing fifty thousand dollars in two
  114. 3:47seconds their investments are not based
  115. 3:49on logic here they're based on memes and
  116. 3:51attendees those guys are [ __ ]
  117. 3:54geniuses their stocks only go up wait
  118. 3:57what [ __ ] i could have built a bot that
  119. 3:59scraped the wall street bet subreddit
  120. 4:00and just bought stocks based on what
  121. 4:02they posted there should i just start
  122. 4:03over but frederick already knows how to
  123. 4:05trade stocks but those guys from wall
  124. 4:06street bets literally only pick good
  125. 4:08stocks you've seen gamestop you've seen
  126. 4:10tesla you've seen
  127. 4:12you saw frederick in there he was
  128. 4:13[ __ ] incredible just stick to the
  129. 4:15plan wall street vet said it would be
  130. 4:16free attendees what do you not get about
  131. 4:18free attendees i don't know i wish
  132. 4:21like if only if only i could make both
  133. 4:24and then pit the two systems against
  134. 4:25each other in a super sick competition
  135. 4:27of fish versus man to see which one
  136. 4:29makes more money
  137. 4:36frederick takes an early lead by buying
  138. 4:38nike stock for those dumb asses at wall
  139. 4:39street best buy lucid and they're close
  140. 4:41behind this is going to be a way it's me
  141. 4:43the [ __ ] ass audience michael you can't
  142. 4:45just represent an entire community with
  143. 4:47a computer program yes the [ __ ] i can
  144. 4:50for this spot to work we need to know
  145. 4:51how wall street bets feels about certain
  146. 4:53stocks to do this we're going to use
  147. 4:54sentiment analysis which is a natural
  148. 4:56language processing technique that uses
  149. 4:58machine learning say we're looking
  150. 5:00through my youtube comments one says die
  151. 5:02forever bastard i hate you a sentiment
  152. 5:04analysis spot would classify that as
  153. 5:06negative and if we look at another one
  154. 5:08that says i think you're great also i
  155. 5:09have a super cool robot idea for you a
  156. 5:11sentiment analysis bot will classify
  157. 5:13that as
  158. 5:14super [ __ ] negative because your idea
  159. 5:16probably sucks at to train a sentiment
  160. 5:18analysis bot you need a lot of labeled
  161. 5:20data so a lot of samples of text that
  162. 5:22are labeled positive or negative by a
  163. 5:24human there are a lot of these data sets
  164. 5:25out there that are publicly available
  165. 5:27but the text is like normal person
  166. 5:28talking wall street vets they talk about
  167. 5:30tendees and yolo and boomers
  168. 5:35stones just yolo very unique vocabulary
  169. 5:38therefore i needed to make my own data
  170. 5:40set using their [ __ ] weird wall street
  171. 5:42bets language so i went to art slash
  172. 5:43wall street bets sorted by top of all
  173. 5:45time downloaded the top 10 000 posts and
  174. 5:47all that's left to do was to label them
  175. 5:49as positive or negative so i sat down
  176. 5:51with a nice cup of coffee and labeled
  177. 5:52the data myself
  178. 5:54no no that would have taken four or five
  179. 5:56hours that's [ __ ] stupid instead i
  180. 5:58spent an entire month learning the react
  181. 6:00web framework and building a website
  182. 6:02that would allow users to log in and
  183. 6:03label the data for me then i tweeted
  184. 6:05asking wall street vets members to give
  185. 6:06me their reddit usernames i then plugged
  186. 6:08those usernames into the reddit api got
  187. 6:10the top 10 accounts with the most reddit
  188. 6:11karma who were active on wall street
  189. 6:12best was ten people labeled one thousand
  190. 6:14post e ten thousand post total and
  191. 6:16created the data set for me and that's
  192. 6:17how you turn a five hour task into a one
  193. 6:20and a half month task because i'm a
  194. 6:22programmer and that's what we do i use
  195. 6:25that data set to train a sentiment
  196. 6:26analysis bot and now every morning when
  197. 6:28the fish is trading stocks this spot is
  198. 6:30going on our slash wall street desk it's
  199. 6:32looking through the top post of the day
  200. 6:34until it finds one it likes and then it
  201. 6:35buys the stock that that post is talking
  202. 6:37about so that's how that works let's get
  203. 6:39back to the competition and see which
  204. 6:41one is better at trading stocks insane
  205. 6:43things are happening michael there's
  206. 6:45crazy stuff going on interesting buy
  207. 6:46from wall street bets i don't know if
  208. 6:47the gamestop play is going to work out
  209. 6:49people love games michael they [ __ ]
  210. 6:51love games big tank from wall street bet
  211. 6:53could be like another 911 situation fish
  212. 6:55is going crazy buying costco and
  213. 6:57facebook facebook then meta now it's a
  214. 6:59crazy day there's a lot of volatility
  215. 7:01right now very confusing i don't know
  216. 7:03where this one's gonna go i'm gonna get
  217. 7:04an expert's opinion on this for sure
  218. 7:09have a nice day
  219. 7:11[Music]
  220. 7:16hey this is graham stefan he does
  221. 7:18financial investing videos and is also
  222. 7:21rich as [ __ ] hello so you do you have
  223. 7:23you do money yeah you have money i came
  224. 7:25to ask you questions i'm going to give
  225. 7:26you two portfolios i just want you to
  226. 7:29look them over which one do you think is
  227. 7:30better oh okay okay portfolio one's
  228. 7:34interesting now portfolio two ah okay we
  229. 7:37got a lot of the memes here the market's
  230. 7:39been down pretty much everything has
  231. 7:40been down last three months yeah but if
  232. 7:42i were to i would feel way more
  233. 7:44comfortable with the first one what if i
  234. 7:45told you that an algorithm aspect all of
  235. 7:48these stocks i would believe it i'm
  236. 7:50gonna give you the performance wow the
  237. 7:51algorithm is uh performed now this is
  238. 7:54only over three months for the portfolio
  239. 7:56one is managed by more by frederick um
  240. 7:59this video is about investing so like
  241. 8:01maybe giving viewers an opportunity to
  242. 8:04invest into a fund that is managed by my
  243. 8:06fish
  244. 8:08so it's a fish
  245. 8:10yeah
  246. 8:13i'm back things have been going crazy
  247. 8:15what did graham say his money is on the
  248. 8:17fish peaks in the valleys for wall
  249. 8:18street's bets it's better it's better
  250. 8:20than bigger than anyone they can win but
  251. 8:22graham's money is on the fish i [ __ ]
  252. 8:24hate you graham stevens big ball what
  253. 8:27the [ __ ] what's that what is that huge
  254. 8:30it's not looking good for wall street
  255. 8:31bets right now at all what is that what
  256. 8:33is that this could be it it's climbing
  257. 8:36it's the climbing it's to the moon
  258. 8:40oh
  259. 8:42it [ __ ] died
  260. 8:43the fish won
  261. 8:45let's [ __ ] go red red [ __ ] you wall
  262. 8:48street vets get [ __ ] on by the fish
  263. 8:51[ __ ] girl
  264. 8:56that settles it fish is the superior
  265. 8:58technology so that's it right no i think
  266. 9:00i can use this fish technology to create
  267. 9:02a legitimate business i've been working
  268. 9:03on a startup proposal for the last
  269. 9:04couple of days and i have a meeting set
  270. 9:06up to try and get some investors so i'm
  271. 9:07gonna it's like a venture capitalist
  272. 9:09startup meeting except it wasn't that at
  273. 9:11all it was like this weird [ __ ] hype
  274. 9:13house for startup founders so each one
  275. 9:15of these people has started their own
  276. 9:17company and the management has allowed
  277. 9:18me to pitch my startup idea to them
  278. 9:20hello everybody my name is michael i'm
  279. 9:22here representing briefly a small
  280. 9:23fintech startup you've seen it all
  281. 9:25happening already articles like this
  282. 9:27this this a lot of inexperienced people
  283. 9:29are losing money in the stock market
  284. 9:30that's where briefly fits in we have a
  285. 9:32couple of algorithms going wsv mainly
  286. 9:34sentiment analysis the second fish
  287. 9:36tracks analyst movements wsb is
  288. 9:38performing well below market average but
  289. 9:40fish is outperforming the nasdaq by some
  290. 9:4213 last quarter honestly the main reason
  291. 9:45i'm here is because the performance of
  292. 9:46that fish technology it's performing
  293. 9:48very well but generally we think it can
  294. 9:49be performing even better pretty sure it
  295. 9:51comes down to a few things tank health
  296. 9:53clarity like of the water
  297. 9:55we're probably going to be improving
  298. 9:56food and like better filters in general
  299. 9:57i already covered that we need to know
  300. 9:59how long the fish can perform looking
  301. 10:01into the data the lifespan of the
  302. 10:02species is generally around 8 to 12
  303. 10:05years we think that with better water
  304. 10:06parameters and more attention to the
  305. 10:08food we can get up to an outlier of 20
  306. 10:10plus years the fish name is frederick
  307. 10:12and
  308. 10:13that uh thank you do you have any
  309. 10:16i have a lot of questions
  310. 10:19so the fish is determined in your
  311. 10:21stockpix
  312. 10:23yeah it's fish it's the it's well it's
  313. 10:25fish is the idea so um we've got a
  314. 10:28front-facing camera the fish is prompted
  315. 10:29with two stocks whichever side spends
  316. 10:31more time on just that stock uh do you
  317. 10:33have any more questions
  318. 10:36you know not everyone can see the vision
  319. 10:37and that's okay i'm not i'm sounding
  320. 10:38like i'm mad i'm not not mad or anything
  321. 10:40[ __ ] [ __ ] [ __ ] [ __ ] why don't they
  322. 10:44understand [ __ ]
  323. 10:50i guess the world just isn't ready for
  324. 10:52this technology all i wanted to do was
  325. 10:54get super super super [ __ ] rich but
  326. 10:56maybe i don't deserve it but i think i
  327. 10:59know someone who does so i sold all the
  328. 11:01stocks in the portfolio and withdrew the
  329. 11:02money this is the exact amount of money
  330. 11:04frederick has made so far one thousand
  331. 11:06seven dollars and 59 cents can you
  332. 11:09believe my goldfish made this and then i
  333. 11:10went back to where i got him i got him
  334. 11:12from this tank and now he's doing such
  335. 11:14big things excuse me i'm looking to get
  336. 11:16some like better filters and food
  337. 11:17they're really good filters awesome i
  338. 11:19will grab this what about food stuff
  339. 11:21like this i'll have some fancy [ __ ]
  340. 11:25the rest is for
  341. 11:26[Music]
  342. 11:27sorry that frederick
  343. 11:27for frederick the rest of it
  344. 11:30yeah the rest is for even keep the rest
  345. 11:31frederick made it thank you
  346. 11:37when michael why did it take you so long
  347. 11:39to make the video i don't [ __ ] know
  348. 11:41it feels like i blacked out for eight
  349. 11:42months and still somehow managed to
  350. 11:44procrastinate the video until the last
  351. 11:46minute like a dumb ass but hey he's
  352. 11:47still faster than internet historian
  353. 11:49baby that's what matters and as for
  354. 11:51frederick he made enough money to retire
  355. 11:53he'll live out the rest of his days in
  356. 11:54fish paradise
  357. 11:57that's the end of the video thank you
  358. 11:58for watching if you liked it you can
  359. 12:00subscribe so you can catch my next
  360. 12:01upload in 2025. shout out to um
  361. 12:05frederick for making this possible shout
  362. 12:07out to um god jesus catholic jesus oh i
  363. 12:12made this poster for myself using the
  364. 12:13data from frederick versus wall street
  365. 12:15bets because all the graphs needed to be
  366. 12:17an 8k so why not i figured i may as well
  367. 12:19sell it so if you want it you can have
  368. 12:21it and if you don't want it you do not
  369. 12:23have to get it it is [ __ ] gargantuan
  370. 12:25though it's like my height i mean i'm a
  371. 12:27short [ __ ] person but like it's still
  372. 12:29a gargantuan poster it's like five feet
  373. 12:32long it has all the brands and when they
  374. 12:34were bought by like who with the exact
  375. 12:35times it's very it's it's it's lit if
  376. 12:38you want it you can go to my new url
  377. 12:40pissbaby.art is no longer my
  378. 12:43store or whatever i just didn't like the
  379. 12:44weird toilet humor i'm trying to go in
  380. 12:47like a more elegant direction also i
  381. 12:49forgot to renew the domain and so
  382. 12:50somebody stole it so now
  383. 12:53pissbaby.store is my new best friend it
  384. 12:55doesn't matter you just click the thing
  385. 12:57in the description anyway yeah thank you
  386. 13:00for watching yeah okay goodbye see you
  387. 13:02in a year
  388. 13:05the sponsor of this video is public.com
  389. 13:07do you wish you can buy and sell stocks
  390. 13:09like frederick well you [ __ ] can't
  391. 13:11he's special but if you want to get
  392. 13:12close public is a great place to start
  393. 13:14it's a commission free trading app where
  394. 13:16you can buy and sell stocks follow
  395. 13:17investors and share ideas aside from
  396. 13:19taking zero commissions the big draw of
  397. 13:21public is that you can follow other
  398. 13:22investors look at their portfolios and
  399. 13:24learn from them and on top of that
  400. 13:25public will never sell your data or move
  401. 13:27your trades through market makers which
  402. 13:29is something i learned about when i was
  403. 13:30making that uh [ __ ] presentation for
  404. 13:32the the hype house launch house it can
  405. 13:34cause conflicts of interest depending on
  406. 13:36who owns what uh the green app does it
  407. 13:39the other one that i'm not allowed to
  408. 13:40say you can even follow me at [ __ ]
  409. 13:42nugget okay um they said i couldn't use
  410. 13:45that name so now it is at michael reeves
  411. 13:47at michael reads in the public app where
  412. 13:49i will be investing solely based on the
  413. 13:51decisions made by my goldfish frederick
  414. 13:53this is investing so there are risks but
  415. 13:55if you understand those risks public is
  416. 13:57an excellent place to start investing
  417. 13:59and learning so if you're interested you
  418. 14:00can sign up at my link in the
  419. 14:02description and when you deposit you'll
  420. 14:03get anywhere from three to three hundred
  421. 14:05dollars in a fractional share thank you
  422. 14:06again to public for sponsoring this
  423. 14:08video it was their budget that went to
  424. 14:09my goldfish and wall street bed spot for
  425. 14:12investing so they don't know where that
  426. 14:14went and this is how they will find out
  427. 14:16thank you goodbye
  428. 14:17[Music]
  429. 14:50so
  430. 14:54[Music]
  431. 15:00i thought he was speaking in an extended
  432. 15:02metaphor and i was like i love how
  433. 15:04trained his mind is commits so intensely
  434. 15:06to this analogy of the like the fish to
  435. 15:08his algorithm yeah and then i was like
  436. 15:11oh my god
  437. 15:13[Music]

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