YouTube2Text

I Finally Revealed My Exact Bitcoin Trading Strategy — Transcript

by Conor Kenny · 3,242 words · 466 segments · language en · Watch on YouTube

Full transcript

  1. 0:00This is going to be one of the most
  2. 0:00important videos that I make because up
  3. 0:03to 97%
  4. 0:05of day traders actually lose money. And
  5. 0:08that's a very different story and
  6. 0:10sentiment than what you hear online with
  7. 0:13all of these gurus who teach you trading
  8. 0:15and tell you you can make loads of
  9. 0:17money. Now, it is possible to make money
  10. 0:19from trading, but you need a very
  11. 0:21specific strategy and you need a set of
  12. 0:23rules and you need to follow them. In
  13. 0:24fact, 58% of new traders lose almost all
  14. 0:28of their money within the first year.
  15. 0:30It's absolutely crazy, but after being
  16. 0:32in this market for many years, right now
  17. 0:35I have two open trades. One Bitcoin long
  18. 0:37here with $28,000 of profit and another
  19. 0:40Bitcoin long here with $36,000
  20. 0:43of profit. In fact, I already closed out
  21. 0:4510% of this trade just today to make
  22. 0:49sure I lock in those gains. So, in
  23. 0:51today's video, I actually want to talk
  24. 0:53to you guys about my exact strategy,
  25. 0:56what I look for with my Bitcoin trades,
  26. 0:58and lay everything on the table because
  27. 1:00the last thing I want is for one of you
  28. 1:02to get sucked into these day trading
  29. 1:04schemes where you believe that you can
  30. 1:06change your life through trading daily
  31. 1:08and all of these ins and outs when
  32. 1:10really the real money is made with very
  33. 1:14strict rules and strategies. In fact,
  34. 1:16most of the time profitable traders are
  35. 1:19not actually trading. They're waiting
  36. 1:21for the perfect entry. Just before we
  37. 1:24jump into the video, please remember
  38. 1:25nothing in this video is financial
  39. 1:27advice. I am not a financial advisor.
  40. 1:28Crypto is extremely risky and no results
  41. 1:31are guaranteed. There are some affiliate
  42. 1:33links in the description and I may earn
  43. 1:34a commission at no extra cost to you.
  44. 1:36And so, in today's video, guys, we're
  45. 1:38going to be going through my exact
  46. 1:40strategies. We're going to be looking at
  47. 1:41the exchanges that I put my own money to
  48. 1:44the test. This is not theory. This is me
  49. 1:47completely pulling back the curtain and
  50. 1:50showing you the inner workings of my
  51. 1:52exact strategy. So, if at any point
  52. 1:54during this video, you want to use one
  53. 1:56of the exchanges that I personally use.
  54. 1:58I'm going to leave a link to them in the
  55. 1:59description and in the pinned comment
  56. 2:02below this video. At the time of
  57. 2:03watching this video, this will be the
  58. 2:05very best bonus that I can provide with
  59. 2:08you with my exchange partners. And these
  60. 2:10are partners and exchanges that I put my
  61. 2:12own personal funds onto. So now let's
  62. 2:15get on to strategy. And how exactly did
  63. 2:17I get this profit you can see here?
  64. 2:19Remember earlier when I said most
  65. 2:20traders lose money? My strategy
  66. 2:23basically relies on trading against this
  67. 2:2790 to 97% of people who lose money. And
  68. 2:30I know that might sound bad, but your
  69. 2:33general retail, they trade with poor
  70. 2:35research. They trade with fear of
  71. 2:38missing out. And they trade with their
  72. 2:40emotion. So when the number is going up,
  73. 2:43they like to buy or they like to go
  74. 2:45long, basically betting the price is
  75. 2:47going to go up. When the price is going
  76. 2:48down, they like to sell. They like to go
  77. 2:51short. They like to behave in this herd
  78. 2:55mentality, right? They also like
  79. 2:57confirmation bias. When the price is
  80. 2:59down, they want to feel good about panic
  81. 3:01selling, so they look for scary videos.
  82. 3:04They look for videos that agree with
  83. 3:06their own sentiment in the market. But I
  84. 3:09believe that it is this herd mentality
  85. 3:11that leads people down the wrong track.
  86. 3:14So if we do the opposite to what the
  87. 3:16majority do, that is the groundwork and
  88. 3:20the blueprint to my strategy. So this
  89. 3:23brings us on to my personal strategy.
  90. 3:26This section is all about the three main
  91. 3:29things that I look at when I'm opening a
  92. 3:31trade. The main thing
  93. 3:33that I love to look at every single day
  94. 3:35is the liquidation data. This is data
  95. 3:38that I find daily, right? And this
  96. 3:41really helps. You can see today, for
  97. 3:44example, we have about $4 billion worth
  98. 3:47of shorts and about $8 billion worth of
  99. 3:50longs. This is Bitcoin's 30-day
  100. 3:52liquidation map. This isn't relevant to
  101. 3:55you right now as this data may have
  102. 3:57changed, but this doesn't show me an
  103. 3:59opportune moment to go long. In fact,
  104. 4:02what it shows me is there are now more
  105. 4:05traders going long, significantly more
  106. 4:08than going short, which could lead to
  107. 4:10the price going down. The reasons to
  108. 4:12that we'll get in in the next part, but
  109. 4:15what I want to see here to go long would
  110. 4:18be more shorts. Retail thinking the
  111. 4:21market's going to go down, so they're
  112. 4:23betting the price will go down. In fact,
  113. 4:25the data we see today with more longs
  114. 4:27than shorts makes me take profits, which
  115. 4:30is why earlier in the video I told you I
  116. 4:32took 10% profit from my trade today
  117. 4:36using this data. So, number one is the
  118. 4:39liquidation data. Now, because of this
  119. 4:41liquidation data, it tells us two
  120. 4:43things. One, where retail are thinking
  121. 4:47the market will go next. If there's a
  122. 4:49lot of shorts, they think the price will
  123. 4:51go down. If there are a lot of longs,
  124. 4:53they think the price price will go up.
  125. 4:55With that in mind, there's also another
  126. 4:57more shady character that is also
  127. 5:00looking at this data. And this is where
  128. 5:02you might have heard the term liquidity
  129. 5:03hunt or liquidity sweep. I believe that
  130. 5:06there is a lot of manipulation in
  131. 5:08crypto, but don't be mistaken to think
  132. 5:10that manipulation only lies in crypto.
  133. 5:13No, it's in every single financial
  134. 5:15market. Now,
  135. 5:17I believe that there are characters out
  136. 5:19there, whether they are institutions,
  137. 5:21whether they are whales, people with a
  138. 5:24lot of money, or whatever, whatever in
  139. 5:26between, market makers. But I believe
  140. 5:27they're out there. I have proof they're
  141. 5:29out there, what I'm going to show you in
  142. 5:30a second, but when they look at the same
  143. 5:32data I'm looking at, they think, "How
  144. 5:35can we make money from this?" They force
  145. 5:37the price to go against the retail
  146. 5:40trader, and therefore liquidating those
  147. 5:42traders, creating liquidity sweeps, and
  148. 5:45pushing the market in the direction they
  149. 5:47want to make profit. That's the simple
  150. 5:49way to understand this. We actually saw
  151. 5:53the SEC charge crypto market-making
  152. 5:56firms Gotbit, ZM Quan, and CLS Global
  153. 6:00with market manipulation in 2024.
  154. 6:03Gotbit pleaded guilty and forfeited 23
  155. 6:08million. The founder was sentenced to 8
  156. 6:10months in prison. In March 2026, 10
  157. 6:14individuals across four firms, Gotbit,
  158. 6:17Vortex, Antera, and Contrarian, charged
  159. 6:20in Operation Token Mirrors. You can see
  160. 6:23all this data. These cases actually
  161. 6:25document wash trading, which is fake
  162. 6:28volume to lure retail buyers. It's not
  163. 6:31confirmed to be stop hunt targeting of
  164. 6:35retail liquidation zones as I'm talking
  165. 6:37about entirely, but we can see that
  166. 6:39these companies are out there and they
  167. 6:42are using different strategies. So, with
  168. 6:45my time in this market, this is what I
  169. 6:46believe. And this is pure speculation.
  170. 6:48I'll lay that on the cards. This is not
  171. 6:50fact and I'm not pointing fingers at
  172. 6:52anyone in particular. But, what I am
  173. 6:54doing is showing you history and what
  174. 6:57has happened previously. Now, on top of
  175. 7:00the liquidation data, I also use simple
  176. 7:03support and resistance. The price
  177. 7:06psychology around support and resistance
  178. 7:08is simple. Previous areas of support or
  179. 7:11previous areas of resistance. So, as the
  180. 7:13price is going up, you can hit
  181. 7:15resistance. As the price is going down,
  182. 7:17you hit support. These previous areas
  183. 7:20can work as psychological levels for
  184. 7:22bouncing and also areas in which people
  185. 7:25will come in and buy because that's the
  186. 7:28specific price that they've set because
  187. 7:31of the history of how the chart has
  188. 7:33looked. It's quite simple, but it does
  189. 7:35actually more often than not come into
  190. 7:38play. Very, very simply, if you take a
  191. 7:40look at the Bitcoin chart here, you can
  192. 7:43see this right here is the daily chart.
  193. 7:46If we open this up, you can see and
  194. 7:48these lines are my supports and
  195. 7:50resistance. And you can see funnily
  196. 7:52enough, just look at this. We have a
  197. 7:54very strong support about $60,000. If we
  198. 7:58go all the way back, we can see this
  199. 8:00support came in in March and September
  200. 8:032024. We go all the way back, we can see
  201. 8:05it was resistance back in May 21. It was
  202. 8:09resistance in December 21. So, it's been
  203. 8:12many, many years that this has been a
  204. 8:13support or a resistance. And look what
  205. 8:16happened. We came down, we tapped that
  206. 8:19support, and then we rallied up. Buyers
  207. 8:22stepped in and bought at this support
  208. 8:24zone. Now, on the inverse of that, we
  209. 8:27have things like our resistance zones.
  210. 8:31You can see here, this was the all-time
  211. 8:33high in 2021.
  212. 8:35In 2024, when the market first rallied
  213. 8:38up, we had this resistance. We broke
  214. 8:41above it, we failed. We broke above it,
  215. 8:43we failed. We broke above it, we failed.
  216. 8:45We went up, we tapped it, we failed. It
  217. 8:49was a very strong resistance for about
  218. 8:51half a year before making new highs. So,
  219. 8:54simple support and resistance comes in
  220. 8:57and it really works quite well to
  221. 9:00basically figure out where the market
  222. 9:02might go next. Now, it's not a
  223. 9:04guaranteed science, but I use this in
  224. 9:06conjunction with the liquidation data.
  225. 9:09Now, with that in mind, I also couple
  226. 9:12that with macro news. Recently, the
  227. 9:15macro news that led me to go very long
  228. 9:18in the trades that I shared with you
  229. 9:20today, which right now have over $60,000
  230. 9:23of profit between them, have already
  231. 9:26taken some profit off the table. And
  232. 9:28just a quick point on that, guys, the
  233. 9:30exchanges that I'm trading on I've been
  234. 9:31trading on for literally years. And
  235. 9:33what's not obvious at the start is that
  236. 9:35picking the right exchange can be one of
  237. 9:37the most fundamentally important
  238. 9:39decisions in your trading journey. That
  239. 9:41is why I work closely with the exchanges
  240. 9:43that I personally trade on to not only
  241. 9:45feel comfortable putting my own money
  242. 9:47there, but also to get myself and my
  243. 9:50traders the best possible bonuses. Now,
  244. 9:53these bonuses can sometimes give you the
  245. 9:55opportunity to trade with the exchanges
  246. 9:57money and get consecutive bonuses over
  247. 10:00time from actually staying on the
  248. 10:02exchange. So, as I said earlier, if you
  249. 10:04guys do want to try out the exchanges
  250. 10:06that I use, of course you need to do
  251. 10:08your own research and decide whether or
  252. 10:09not it will work for you, but those
  253. 10:11links will be below this video both in
  254. 10:12the description and the pin comment.
  255. 10:14Now, as I was saying about my trade and
  256. 10:17why I actually closed it out, the macro
  257. 10:19news that actually happened was
  258. 10:21MicroStrategy
  259. 10:23was basically being accused of getting
  260. 10:26close to an unwinding, right?
  261. 10:28MicroStrategy currently holds over
  262. 10:31840,000
  263. 10:33Bitcoin, right? But, they came out and
  264. 10:36they sold a portion of that Bitcoin.
  265. 10:39People started to speculate that
  266. 10:40MicroStrategy was going to become
  267. 10:42insolvent and they were going to be
  268. 10:44forced to sell over 800,000 Bitcoin. So,
  269. 10:47the market was very scared. Michael
  270. 10:50Saylor publicly opened the door to
  271. 10:53selling Bitcoin for the first time
  272. 10:55essentially ever, but
  273. 10:58he also had a different product,
  274. 11:00Stretch, STRC. This is a stock that pays
  275. 11:03people dividends to hold above 10%,
  276. 11:06which is very high. So, people were
  277. 11:08thinking, "Okay, well, MicroStrategy has
  278. 11:10just sold a bit of Bitcoin.
  279. 11:11MicroStrategy now owes billions of
  280. 11:14dollars in dividends. They're probably
  281. 11:16going to start selling a vast amount of
  282. 11:18Bitcoin to actually reach those
  283. 11:20dividends because Bitcoin's price is
  284. 11:22going to continue to crash." Now,
  285. 11:23because of my understanding of Michael
  286. 11:25Saylor's thesis, because of my
  287. 11:27understanding of MicroStrategy, because
  288. 11:30of my understanding and deep research
  289. 11:32into their stretch dividend product, I
  290. 11:34believe that this was a mispricing and a
  291. 11:37mistake. So, I thought the price of
  292. 11:39Bitcoin was getting unfairly beaten down
  293. 11:42because of a macro news event. So far,
  294. 11:45in this moment of time, maybe it changes
  295. 11:47by the time you're seeing this video, it
  296. 11:49might have changed. But, so far,
  297. 11:51MicroStrategy has not been forced to
  298. 11:53sell and has not created the black swan
  299. 11:55event the market was expecting. So, we
  300. 11:58had three things happening at the time
  301. 12:00of opening my trades at 58,
  302. 12:03approximately, thousand dollars. 58,700
  303. 12:07and 58,300.
  304. 12:09Number one, we had our previous support
  305. 12:13being broken, which created a liquidity
  306. 12:16zone below it. Why is there a liquidity
  307. 12:18zone below it? We have stop losses, we
  308. 12:21have liquidation points, and we have
  309. 12:23emotional capitulation points. Emotional
  310. 12:25capitulation, meaning people who bought
  311. 12:28here, let's say, would sell here. Or
  312. 12:30maybe people who bought here, and they
  313. 12:32put their stop loss here, would be
  314. 12:34forced to sell there. And then, maybe
  315. 12:37traders who got involved in long
  316. 12:39positions after we had a push to the
  317. 12:42upside here, after we had a push to the
  318. 12:44upside here, had their liquidation
  319. 12:46zones, meaning the total loss of that
  320. 12:48trade, beneath that support. This is the
  321. 12:51opportune moment that I want to be
  322. 12:53opening a trade. We're below a support,
  323. 12:56a major, major support. We have the
  324. 12:59majority of the market saying, "We're
  325. 13:02going to go lower, and I'm willing to
  326. 13:03bet billions that we will go lower." And
  327. 13:06you couple that with a misunderstanding
  328. 13:08and a mispricing
  329. 13:11of because of macro news, because of a
  330. 13:14news event. There lies where I want to
  331. 13:17be going long. Now, with that said, what
  332. 13:20do I do once the trade has profit? So,
  333. 13:23over 60,000 dollars of profit. Well,
  334. 13:26first of all, I put my break even stop
  335. 13:28loss in. That means I put my stop loss
  336. 13:31where the trade will get stopped out,
  337. 13:34but in enough profit to one, pay for my
  338. 13:37trading fees, because of course, holding
  339. 13:38a trade open and trading costs money.
  340. 13:41And number two, will stop me out so I do
  341. 13:43not lose money. When I first enter the
  342. 13:46trade, I have a predefined stop loss,
  343. 13:48the amount of money essentially I'm
  344. 13:50willing to lose in this trade. Maybe
  345. 13:53it's $1,000, maybe it's $10,000. It
  346. 13:55depends on all of the three things we
  347. 13:58spoken about today. It's going to change
  348. 14:00every single time and it also will
  349. 14:01change with the amount of liquidity I
  350. 14:03have. Remember, I'm only trading with
  351. 14:05money I can afford to lose. That's the
  352. 14:07most important thing because we want to
  353. 14:09remove our emotion from trading. So,
  354. 14:11what I do is I have break even stop
  355. 14:13losses or stop losses in my trades. And
  356. 14:16then when we see big pushes to the
  357. 14:18upside and a change in the Bitcoin
  358. 14:21leverage data and a change in where the
  359. 14:24price sits. For example, right now you
  360. 14:25see, we're basically slap bang on a
  361. 14:28resistance. So, we have a change in the
  362. 14:30liquidation data. More people are going
  363. 14:32long. We have us hitting a very strong
  364. 14:35resistance and we have basically the
  365. 14:38market realizing, "Oh, wait, the
  366. 14:40MicroStrategy news was nowhere near as
  367. 14:42bad as what we thought." Therefore, the
  368. 14:45price has risen and therefore I start to
  369. 14:48take profit. So far, about 5 to 10% of
  370. 14:51the trade, which I'll continue to take
  371. 14:53at predefined points on the way up. This
  372. 14:56is called a swing trade, right? With
  373. 14:59those profits, if we get a nice pullback
  374. 15:01that doesn't hit my break even stop
  375. 15:03loss, I may even add depending on three
  376. 15:06things, the liquidation data, the macro
  377. 15:09and the support and resistance. That is
  378. 15:11the strategy, guys, and I can do this in
  379. 15:14a bull market or a bear market. What I
  380. 15:16would suggest and what I really feel
  381. 15:18strongly about is that you should never
  382. 15:20blindly follow anyone on the internet.
  383. 15:22Please do not do that. Come up with your
  384. 15:24own strategies. All right, so right now
  385. 15:27I'm waiting for the price to head
  386. 15:29higher. However, I do think that the
  387. 15:32Bitcoin bear market in the time that
  388. 15:34we're in right now will continue.
  389. 15:36There's many different ways to see what
  390. 15:38will happen and where the bear market
  391. 15:40might end. For example, you can look at
  392. 15:42things like Bitcoin's MVRV Z score. You
  393. 15:46can look at historical bear market
  394. 15:48bottoms from 2011, 2014, 2018, 2022. You
  395. 15:53can also look at the short-term holder
  396. 15:55MVRV. You can look at the fear and greed
  397. 15:58index and you can see how much time
  398. 15:59we've actually spent in the history in
  399. 16:02extreme fear. You'll see we haven't
  400. 16:04spent that much time down there.
  401. 16:07Bitcoin normally follows a 4-year cycle.
  402. 16:10So you can see where you sit in that
  403. 16:124-year cycle.
  404. 16:14Analysts often give out their
  405. 16:16recommendations and what they think will
  406. 16:18happen next. My thesis is in and around
  407. 16:21October 2026, we may see the bottom.
  408. 16:25This could come a few months before or a
  409. 16:26few months after. Doesn't really matter.
  410. 16:29So that's what I'll be looking out for
  411. 16:31going into now and into the further bull
  412. 16:34market. And hopefully I'll be able to
  413. 16:36have one of these trades open throughout
  414. 16:38that whole time. Now the next thing we
  415. 16:39need to do is find the perfect exchange
  416. 16:41for our strategies. And there are links
  417. 16:43like I said down there in the
  418. 16:44description. But why would you use those
  419. 16:47links over just going out and finding
  420. 16:48your own? Well, the important thing to
  421. 16:50realize is I work closely with these
  422. 16:52exchanges, talking to them on a daily
  423. 16:54basis. And I'm consistently trying to
  424. 16:57give my audience the very best bonus. So
  425. 16:59if you just go sign up by yourself
  426. 17:01through Google or however you find these
  427. 17:03exchanges, you won't get these specific
  428. 17:05bonuses that I'll leave down there in
  429. 17:07the description. Now as they're not
  430. 17:08generic sign up bonuses, no matter when
  431. 17:10you're watching this video, I will
  432. 17:12consistently update the description to
  433. 17:14get the most current and best bonus for
  434. 17:16you. So with that said, guys, if you are
  435. 17:18looking for a place to trade, what's
  436. 17:20most important is you do your research
  437. 17:22and you take advantage of these
  438. 17:24exchanges when they give these
  439. 17:25opportunities. Like, for example, you
  440. 17:27can see here we have a 10% deposit bonus
  441. 17:30all the way up to 10,055
  442. 17:33per user. We also have another bonus,
  443. 17:36for example, where you can trade and
  444. 17:37earn up to 50,000 USDT. Another offer
  445. 17:40where 20,000 USDT are being given away
  446. 17:43and you can see currently the top trader
  447. 17:46here has an expected reward of up to
  448. 17:485,000 USDT right there. Now, these are
  449. 17:51just examples of the kinds of bonuses
  450. 17:54that I worked tirelessly to provide you
  451. 17:55guys. And to top it all off, if you do
  452. 17:57want to see when I'm making trades, when
  453. 17:59my traders are making trades, and what
  454. 18:01my macro and technical analysts are
  455. 18:03seeing in the market, you can see all of
  456. 18:05that in the crypto school, which I'll
  457. 18:07also link down there in the description.
  458. 18:09This is a community and course we have
  459. 18:10worked on for years to provide as much
  460. 18:13value as possible to as many people as
  461. 18:15possible. So, both the links of the
  462. 18:17exchanges I use and my school will be
  463. 18:19down there in the description.
  464. 18:20Hopefully, I provided some value today,
  465. 18:22and with that said, I'll see you in the
  466. 18:24next one.

About this transcript

This page contains the full transcript of I Finally Revealed My Exact Bitcoin Trading Strategy by Conor Kenny, generated from the public captions YouTube serves with the video. The transcript has 3,242 words across 466 segments, with the original timestamps preserved so you can click any line to jump to that moment in the embedded player.

What you can do with it

Use the transcript to take notes, quote the speaker, build a study guide, generate a summary with ChatGPT or Claude via the YouTube Summary tool, or export it as a timed subtitle file with YouTube to SRT. You can also re-open it in the transcriber to translate the transcript into 100+ languages.

Free YouTube transcript tool

YouTube2Text is a free YouTube transcript generator — no signup, no daily limit. Paste any YouTube link and get the full transcript instantly, with timestamps, click-to-jump, translation to 100+ languages, AI prompts for ChatGPT, Claude, and Gemini, and exports to TXT, SRT, VTT, or Markdown.