Cómo Crear Un Agente De Trading Con IA Que Opere Solo (Estrategia x10) — Transcript

Full transcript

1. 0:00For this video, I have created a trading
2. 0:02bot from scratch using Claude, and as of
3. 0:05today, it is automatically generating
4. 0:07earnings of 25.80.
5. 0:10And well, it's true that you can't do
6. 0:13too much with $ 25.80, especially
7. 0:15nowadays, but if you multiply 25.80
8. 0:20per day by the 30 days in a month,
9. 0:22that's 774
10. 0:25in profit per month. And then, if you
11. 0:28multiply the 774 in monthly profit by
12. 0:31the 12 months in a year, it gives you a
13. 0:34result of 9,288
14. 0:38in annual earnings.
15. 0:41And this trading bot created from
16. 0:42scratch with artificial intelligence is
17. 0:45not just any bot.
18. 0:49It is a trading agent that uses AI to
19. 0:51analyze the market, detect the best
20. 0:53opportunities, discard trades when there
21. 0:56is important news, and execute orders
22. 0:58and trades completely automatically.
23. 1:05In this video, I will show you what a
24. 1:07trading agent is, how to create one from
25. 1:09scratch with Claude following four steps
26. 1:11, how my own trading agent works, and
27. 1:13how you can replicate the exact same
28. 1:15results, even if you don't know how to
29. 1:18program or don't have a profitable
30. 1:19trading strategy yet.
31. 1:27First, it is important to understand
32. 1:29what an AI trading agent is, and I am
33. 1:31going to explain it by differentiating
34. 1:33it from a chat and a bot. A chat is
35. 1:35something you ask something to, and it
36. 1:38answers you, just like anyone uses chat
37. 1:40with Claude, ChatGPT, or whatever else.
38. 1:43Then we have a bot.
39. 1:46A bot is a program that always acts
40. 1:48automatically when certain specific
41. 1:50conditions or criteria are met.
42. 1:53And then we have an agent.
43. 1:56An agent is an intermediate piece that
44. 1:58perceives what is happening, acts with
45. 2:00discretion, and does so automatically,
46. 2:03without anyone having to tell it
47. 2:04anything or explain things to it
48. 2:06constantly.
49. 2:09And right now, on screen, you are seeing
50. 2:11the agent we have created.
51. 2:14This agent might seem very complex
52. 2:16because it has different parts.
53. 2:19It has a results section, it has a part
54. 2:21for what the agent itself does, and how
55. 2:24it works.
56. 2:26And then on the right side, it has some
57. 2:28data regarding how and what criteria it
58. 2:30follows when making one decision or
59. 2:32another.
60. 2:35And what we are going to do first,
61. 2:37before getting into the subject, is
62. 2:39explain what the main parts that make up
63. 2:41any agent are, regardless of whether
64. 2:43it's mine or the neighbor's agent.
65. 2:46The first part is the senses, that is,
66. 2:49what it reads.
67. 2:51In my case, it's the price, the economic
68. 2:53calendar, and the news headlines every 2
69. 2:56minutes.
70. 2:58Secondly, we have the criteria: fixed
71. 3:00rules for what is mechanical, and
72. 3:02artificial intelligence for what
73. 3:04requires interpretation.
74. 3:07For example, this headline that just
75. 3:09came out could move the Nasdaq.
76. 3:12Is this good or bad for the euro-dollar
77. 3:14?
78. 3:15And then, in third place, the last part
79. 3:17we have is the hands.
80. 3:20The hands are the ability to do
81. 3:21something without you being present,
82. 3:23which in my case is sending or not
83. 3:25sending an order to the broker to trade
84. 3:27automatically.
85. 3:29Before I explain how to create an agent
86. 3:31from scratch, I want to make one thing
87. 3:33clear.
88. 3:35To get here, we had to backtest over 10
89. 3:37years of different assets, analyze and
90. 3:40review thousands of candles, and test
91. 3:42hundreds of combinations, all to reach
92. 3:44profitable trading strategies, which, by
93. 3:47the way, you will see later on.
94. 3:50And not only that, but we also had to
95. 3:52create a separate server to store
96. 3:54everything so that it operates
97. 3:55automatically. And we have also
98. 3:57dedicated several weeks to preparing
99. 4:00absolutely everything: the strategy part
100. 4:02, the agent part, how to explain it
101. 4:04simply, and so on. You, obviously, will
102. 4:06not have to replicate all of this
103. 4:08because I am going to explain it to you
104. 4:10here, but.
105. 4:14However, if you want to get straight to
106. 4:16the point with all the information, if
107. 4:18you really want to start using
108. 4:20artificial intelligence as a tool that
109. 4:22helps you, serves you, empowers you, and
110. 4:24improves you, I recommend that on
111. 4:26Tuesday, November 17th, at 7:00 PM
112. 4:28Madrid time, you join the live session I
113. 4:31will be hosting.
114. 4:38It will be practical, and I will explain
115. 4:40how to set up an ecosystem of AI tools
116. 4:42that allows you to make better trading
117. 4:44decisions without needing, obviously,
118. 4:46any computer science knowledge.
119. 4:51I don't know if what I'm going to
120. 4:53explain in this video will seem simple,
121. 4:55difficult, or impossible to you; but if
122. 4:57you want to get, as I said, straight to
123. 4:59the point and learn to use artificial
124. 5:01intelligence tools professionally,
125. 5:03without trials or practice like the one
126. 5:05in this video, then simply click the
127. 5:07link you will find below in the first
128. 5:09pinned comment or the video description
129. 5:11, or scan the QR code you see on the
130. 5:13screen, and you will be able to register
131. 5:15and reserve your spot for the event.
132. 5:19Once you leave your information, that is
133. 5:21, your email address, we will send you
134. 5:23the prompts, the documentation, the good
135. 5:26stuff, everything necessary so you
136. 5:28arrive as prepared as possible for the
137. 5:30live session on Tuesday, November 17th.
138. 5:34But anyway, that said, the question here
139. 5:37would be, how can you easily create an
140. 5:39AI trading agent using Claude?
141. 5:42Well, we could summarize it in four
142. 5:44simple steps.
143. 5:46The first step is the rules. Before
144. 5:48creating anything, I write down on a
145. 5:50sheet what the agent can and cannot do.
146. 5:52In my case, my strategy decides the
147. 5:55trades, not the AI. The agent can only
148. 5:57say, enter now or not now. It doesn't
149. 6:00touch how much to risk, where the stop
150. 6:02loss goes, where the take profit goes,
151. 6:04etcetera, etcetera. And if it crashes or
152. 6:06takes longer than a minute, the trade
153. 6:08goes through just as if it didn't exist
154. 6:10. The second step is the blueprint.
155. 6:12I ask Claude to research how an agent
156. 6:14should function in this way, uh, how to
157. 6:17know if news moves an asset, what
158. 6:19mistakes bots that read news make, and
159. 6:21how to prevent the AI from hallucinating
160. 6:23.
161. 6:25What Claude does is return a very long
162. 6:27document that, well, is not the agent
163. 6:29yet, it's the blueprint to build it. The
164. 6:32third step, obviously, is the
165. 6:34construction. I feed Claude Code both
166. 6:36the sheet and the blueprint from the
167. 6:38first two steps, and I ask it to
168. 6:40assemble the pieces one by one.
169. 6:43In my case, a piece that reads the news
170. 6:45every 2 minutes, another that checks
171. 6:47basic rules without AI, and a fast
172. 6:49artificial intelligence that answers yes
173. 6:52or no questions.
174. 6:55A more powerful artificial intelligence
175. 6:57for when the fast one is unsure, and
176. 6:59finally the connection with the trading
177. 7:01software so that before opening any
178. 7:03trade, it asks the agent. In this case,
179. 7:05it would be the connection to the broker
180. 7:07.
181. 7:08Here, Claude Code writes the code and I
182. 7:10only write the questions and verify that
183. 7:12it does what is written on the sheet.
184. 7:14Finally, the fourth step is security.
185. 7:17What I do is set a daily spending limit
186. 7:19.
187. 7:20I force it to decide only once per
188. 7:22candle and I open a second, identical
189. 7:24account without an agent.
190. 7:27We will see this later to check at every
191. 7:29step if the agent was right and made the
192. 7:31correct decision or not.
193. 7:34But anyway, how exactly does my agent
194. 7:37work, the one that generated these
195. 7:39results of 25.80 in daily profits?
196. 7:42Well, everything starts from a set of
197. 7:44profitable trading strategies, we
198. 7:46mentioned this earlier, and this is the
199. 7:48foundation of everything, because
200. 7:50ultimately, the agent itself doesn't
201. 7:52have or store, at least mine doesn't,
202. 7:54profitable strategies; I keep those
203. 7:56separate, right?
204. 7:58In this case, we have 10 strategies
205. 8:00running here, and these are the seven
206. 8:02strategies that have given entry signals
207. 8:04this week.
208. 8:07In total, we have six assets: four
209. 8:09indices—the Nasdaq with two different
210. 8:12strategies, the DAX, the Dow Jones, and
211. 8:14the Nikkei—and we have two currency
212. 8:17pairs: the euro-dollar and the dollar
213. 8:19against the Mexican peso. As for
214. 8:22timeframes, we have three timeframes. 30
215. 8:24-minute candles, one-hour candles, and 4
216. 8:27-hour candles. And we only have two ways
217. 8:29to enter. On one hand, there are three
218. 8:32strategies that trade on trends. The
219. 8:34market already has a direction, so they
220. 8:36simply wait for the typical pullback and
221. 8:38enter in the direction of the trend.
222. 8:42For example, in the case of the DAX
223. 8:44strategy, we buy when there is a
224. 8:45confirmed uptrend and the stochastic
225. 8:47says the price has rested enough.
226. 8:50And then we have four strategies that
227. 8:52are breakout-based.
228. 8:54The typical breakout strategy enters
229. 8:56when the price breaks a recent high, but
230. 8:58only if volatility supports it so we
231. 9:00don't buy into breakouts that go nowhere
232. 9:02.
233. 9:04In the case of the Nasdaq on the
234. 9:06one-hour chart, for example, it buys
235. 9:08when it breaks the high of the last 55
236. 9:10candles and only when London and New
237. 9:12York are open at the same time, which
238. 9:14really narrows down the entry point,
239. 9:16right?
240. 9:19They all have stop-loss and take-profit
241. 9:22levels set from the very first minute,
242. 9:24and they have all been verified and
243. 9:26backtested since 2015.
244. 9:29These are strategies that are profitable
245. 9:31because they don't hesitate.
246. 9:35They are objective, they are, how should
247. 9:38we say, algorithmized, and what they
248. 9:40have against them is also their positive
249. 9:42side: they are automated, but of course
250. 9:44, it could give you a buy signal right
251. 9:46at the moment news breaks or interest
252. 9:48rates are released.
253. 9:52Of course, what do you have to do here?
254. 9:54Obviously, the logical thing would be
255. 9:56not to trade. In the end, what is
256. 9:58happening? Well, if a trading strategy
257. 10:00gives you an entry signal right when
258. 10:02news comes out and your strategy isn't
259. 10:05optimized for news, the logical thing is
260. 10:07not to enter, right? But if you have
261. 10:09strategies that operate automatically,
262. 10:11as is the case, it happens because it's
263. 10:13not that simple to set conditions, or
264. 10:15because you have to be on top of it
265. 10:17constantly, saying, "Yes now, no now, no
266. 10:19now, yes now." Strategies or a bot as
267. 10:21such are not capable of detecting news,
268. 10:23and much less are they able, above all,
269. 10:25to define if that news affects or
270. 10:27doesn't affect and if action should or
271. 10:29should not be taken.
272. 10:32Well, this is precisely where the agent
273. 10:34comes in, and the agent, in the same way
274. 10:36it was created through four steps, also
275. 10:39has four steps it validates when
276. 10:41defining whether or not to execute a
277. 10:43strategy. Step number one, we have the
278. 10:45rules. The strategy, any of the 10 that
279. 10:48exist, says, "I want to enter." And the
280. 10:50agent looks at the market situation and
281. 10:52how much the account has already lost
282. 10:55today, if it has lost anything, so as
283. 10:57not to break any money management rule.
284. 10:59If the allowed amount has already been
285. 11:02lost, it enters no more and asks
286. 11:03absolutely nothing, and this is what
287. 11:05prevents a catastrophic day. In second
288. 11:08place, we have the quick reading. A
289. 11:10small AI reads the headlines from the
290. 11:12latest zones and answers yes or no.
291. 11:15That is to say, if it is safe to enter
292. 11:17due to risk, then the fast AI will tell
293. 11:20you, "Does this affect the asset you
294. 11:22want to execute? Is it good or is it bad
295. 11:25?" If it is clear, it decides in half a
296. 11:27second. If it hesitates, it passes it
297. 11:29directly to the next step. And this is
298. 11:31precisely what the strategy as such
299. 11:33cannot see, and it is the news that has
300. 11:35just come out. Here we enter step number
301. 11:37three, and it is the second opinion.
302. 11:38This step only enters when the fast AI
303. 11:41hesitates. It counts the headlines with
304. 11:43votes for or against and looks if the
305. 11:45market follows. If there are more
306. 11:47against, it stops and notes it down and
307. 11:49explains why. This is the finest filter
308. 11:51of all, the stops or the operations that
309. 11:53it does not execute, which not even a
310. 11:55trader with the screen in front of them
311. 11:57would be clear about. And then we arrive
312. 11:59at step number four. If the agent says
313. 12:01enter, the order goes out just the same
314. 12:03as without the agent. Same size, same
315. 12:05stop, same target, everything just the
316. 12:07same. If the agent says, "Not now,"
317. 12:09absolutely nothing goes out, but it is
318. 12:11noted and followed in the other account
319. 12:13to know if it was right or if it was
320. 12:15wrong. Think that the agent cannot make
321. 12:17you lose more than without the agent,
322. 12:19because what the agent is doing is
323. 12:21limiting your operations. What it does
324. 12:23is, what keeps you from earning more
325. 12:24than what you would be earning with the
326. 12:26agent itself? But we will see this later
327. 12:28on.
328. 12:29That said, and before I show you the
329. 12:31final results and especially the
330. 12:33conclusions, which is the most important
331. 12:35part of the video, these types of videos
332. 12:38do not aim to help you make $ 30 a day
333. 12:40by doing absolutely nothing.
334. 12:43Basically because this is a totally
335. 12:45impossible goal for a person who isn't
336. 12:47even profitable with a specific
337. 12:48methodology. In my case, with 12 years
338. 12:51of experience, yes, but for someone who
339. 12:53is just starting or is not yet
340. 12:55profitable, it is not viable.
341. 12:59The goal of these videos is for you to
342. 13:01learn new concepts and different
343. 13:03methodologies, discover ways of doing
344. 13:05things you might not have considered,
345. 13:07and even be entertained while a
346. 13:08professional talks about trading.
347. 13:13So first, I recommend that you stay
348. 13:15until the end for the conclusions, which
349. 13:17is the truly valuable and educational
350. 13:19part of all this.
351. 13:24And secondly, if you want to take
352. 13:26trading seriously, learn to trade
353. 13:28profitably, use artificial intelligence
354. 13:30to improve your results, and combine
355. 13:32your current occupations—whatever they
356. 13:34may be—with trading, remember that next
357. 13:37Tuesday, November 17th, at 7:00 PM
358. 13:39Madrid time, I will be hosting a live
359. 13:41session where I will teach you how to
360. 13:43create an ecosystem of AI tools to help
361. 13:45you with everything I'm mentioning.
362. 13:50Because what you're seeing in this video
363. 13:53is very good—it's cool, very educational
364. 13:55, and even dynamic—but it's just a bot
365. 13:58that uses artificial intelligence to
366. 14:00perform one or two very specific tasks.
367. 14:03However, if you want to—because you're
368. 14:05seeing that AI is gaining a lot of
369. 14:07weight in the world, for example—and you
370. 14:09want to learn to use it and boost your
371. 14:11day-to-day trading, what you need to do
372. 14:13is create an ecosystem of solid tools
373. 14:15that will support you in the long term
374. 14:17and are scalable.
375. 14:19That is why, during the live session, I
376. 14:21will provide you with a technical
377. 14:23analysis agent that will help you better
378. 14:25predict market movements.
379. 14:28A fundamental analysis agent that will
380. 14:30check every morning if there is any news
381. 14:32that could affect the price of the
382. 14:33assets you usually trade.
383. 14:36A risk management agent that will help
384. 14:38you calculate your position sizing so
385. 14:40you know exactly how much you should
386. 14:42risk on each one.
387. 14:44And finally, a tool that will allow you
388. 14:46to analyze your trading history to
389. 14:48detect the patterns that are currently
390. 14:50making you lose money without you
391. 14:51knowing it.
392. 14:53The class will be live because I want
393. 14:55you to be able to ask me absolutely
394. 14:57anything you want, and afterward, it
395. 14:59will be completely deleted.
396. 15:01So if you want to reserve your spot and
397. 15:04sign up, check the first pinned comment
398. 15:06below and the video description, or scan
399. 15:08the QR code you see on screen; just
400. 15:10register, leave your email, receive all
401. 15:12the materials, arrive prepared, and
402. 15:14you'll leave the class like a brand new
403. 15:16person.
404. 15:17Now I'm going to share all the results
405. 15:19from this agent with you, and as I
406. 15:21mentioned before, I'll refresh your
407. 15:23memory in case you missed it: I’ve
408. 15:25tested these strategies in two
409. 15:27directions.
410. 15:28Direction number one is with the agent,
411. 15:30to see the results of operating for a
412. 15:32week with an agent, and direction number
413. 15:34two is without the agent—that is, as if
414. 15:37the strategy operated automatically
415. 15:39without any news filters, economic
416. 15:41calendar, or absolutely anything else.
417. 15:43So let’s look at the results and, above
418. 15:46all, discuss the conclusion afterwards.
419. 15:48Here we have the screen showing
420. 15:50everything this agent encompasses, in a
421. 15:53100%summarized way.
422. 15:55This is simply the visual part that
423. 15:57anyone can review. Then it has a backend
424. 15:59with all the information, infrastructure
425. 16:02, and so on. But anyway, what do we have
426. 16:04here?
427. 16:05On the right side, for example, what we
428. 16:07can see is the news section.
429. 16:10And this is what the agent actually
430. 16:12reads.
431. 16:13If we click to expand, we can see
432. 16:15different headlines and news groups,
433. 16:17right?
434. 16:19For example, here we have a news item
435. 16:22referring to the Dow Jones, and here we
436. 16:24have different "satellites," so to speak
437. 16:26, that influence this news in some way,
438. 16:29and so on with everything.
439. 16:35Here we have news referring to the
440. 16:37German index, and here we have different
441. 16:39satellites that somehow affected it and
442. 16:41caused some strategies to execute
443. 16:43because the news was good, while others
444. 16:45were halted.
445. 16:50And this is a bit of all the information
446. 16:52the agent is constantly reading as such
447. 16:54.
448. 16:56If we click back, we can see a clock.
449. 16:59In this clock, we can verify that it
450. 17:02stops the most executions between 1 and
451. 17:044 in the morning.
452. 17:06Six of the 21 trades it has halted were
453. 17:08during this time.
454. 17:10Here we see the agent's 44 decisions,
455. 17:13which we will look at in a bit more
456. 17:15detail at the top.
457. 17:16Then we have how the agent itself works
458. 17:18.
459. 17:19And finally, we get into the results.
460. 17:23Look, with the agent, the gains would be
461. 17:26$ 1.
462. 17:28Without the agent, the gains would be $
463. 17:31204.
464. 17:33This counts closed trades and floating
465. 17:35trades, meaning trades that are still
466. 17:37open as of today.
467. 17:39Okay? The point is, let's not draw
468. 17:41conclusions too quickly.
469. 17:44Notice that what I've done, beyond just
470. 17:46calculating profitability with and
471. 17:48without an agent, is to apply this to
472. 17:51funded accounts, in this case FTMO, just
473. 17:53to choose any quick funding company for
474. 17:56$ 10,000.
475. 18:00Notice that, for now, we would have 129
476. 18:03out of 1,000 to pass phase one here, and
477. 18:06without an agent, we would have 204 out
478. 18:09of 1,000.
479. 18:11That is to say, here we would be at more
480. 18:14than 1%of the 10%needed, and here we
481. 18:16would be at more than 2%.
482. 18:19The risk, both with an agent and without
483. 18:22an agent, mind you, is 0.05%per trade.
484. 18:26And this has yielded results, for
485. 18:28example, on the side with the agent, of
486. 18:31129 out of 1,000 for phase one. But of
487. 18:34course, with 0.05%risk per trade, we
488. 18:37would have already exceeded 1.29%
489. 18:42of this 10%phase that needs to be
490. 18:44achieved. The point is that if we had
491. 18:46risked, for example, 1%, we would have
492. 18:49to multiply by 20. 0.05%*20 is 1%.
493. 18:54In other words, we would have to
494. 18:56multiply the results by 20, and in a
495. 18:58single week, we would have easily passed
496. 19:00both phase one and phase two. I mean,
497. 19:02this is just to provide a bit of context
498. 19:05.
499. 19:05Let's go to this part here where we
500. 19:07compare the results.
501. 19:09If we zoom in a little and focus only on
502. 19:11this part here, what do we see?
503. 19:14We see without an agent, which is on the
504. 19:17left, and with an agent.
505. 19:19The result without an agent is higher,
506. 19:22204. And with an agent, it is lower, $
507. 19:25129. And here, at first glance, we could
508. 19:27say, "Okay, so trading with an agent is
509. 19:30worse." Well, the answer is no, which we
510. 19:31will especially see in the conclusions.
511. 19:33The worst day, notice that without an
512. 19:36agent, it is 4.45
513. 19:38and with an agent, it is only $ 3.35.
514. 19:42We can see the maximum drawdown here in
515. 19:45closed trades.
516. 19:46In the case without an agent, it's 4.29
517. 19:49, and in the case with an agent, it's
518. 19:521.32. The drawdown from peak profit, in
519. 19:55this case, is 126, and in this case, it
520. 19:59is 55.39.
521. 20:02And total trades without an agent are 45
522. 20:04, and with an agent, there are 23 trades
523. 20:07.
524. 20:08As I say, we must keep in mind that
525. 20:10certain trades have been closed at a
526. 20:12loss and that there are other floating
527. 20:14trades still open that are providing
528. 20:16these profits.
529. 20:17We would have to wait 100%until all of
530. 20:20this is closed. But anyway, the point is
531. 20:22, understanding everything we've seen,
532. 20:24let's talk about the tangible
533. 20:26conclusions we can apply that can be
534. 20:28useful to us.
535. 20:30First of all, one week of trading is
536. 20:32absolutely insufficient to see if
537. 20:34something works or not.
538. 20:36It is true that these trading strategies
539. 20:38work because I have tested them, I've
540. 20:40mentioned it before, I use them in
541. 20:42different accounts, funded accounts,
542. 20:44well, in different situations and they
543. 20:47obviously work. The point is that this
544. 20:49whole thing about with an agent, without
545. 20:51an agent, or backtesting a set of
546. 20:52strategies for just one single week,
547. 20:54well, it doesn't work, it's not enough.
548. 20:56I'll leave this as a takeaway for any
549. 20:58video, any person, or any situation. The
550. 21:01thing is that, as I mentioned, the goal
551. 21:03wasn't to win or not to win. If the
552. 21:05video had gone wrong in the sense that I
553. 21:07had lost money, I would have shown it
554. 21:09anyway, because that's not the goal. The
555. 21:11goals are different. Right off the bat,
556. 21:13I want to be clear based on the goals
557. 21:14that this might seem easy, it might seem
558. 21:16like, hey, I'll set up an agent, I'll
559. 21:18put this in, I'll create this here,
560. 21:20create that there, input some strategies
561. 21:22, whatever, but it's not easy, it's
562. 21:23really complex.
563. 21:25Whoever tries to sell you this as easy
564. 21:27is simply trying to sell you something
565. 21:29more than just a methodology or a way of
566. 21:32doing things.
567. 21:34This is not easy; it requires
568. 21:36information, knowledge, dedication,
569. 21:38trial and error, and a lot of time and
570. 21:41money invested. At first glance, in
571. 21:43terms of numbers, we saw that the agent
572. 21:45earns less and therefore the agent might
573. 21:47be worse. But the reality is that by
574. 21:50analyzing the background of the final
575. 21:52numbers, the agent protects you more.
576. 21:54That is to say, this has probably been a
577. 21:56week in which the trades went well,
578. 21:58that's why they were winning, especially
579. 22:00considering the closed trades plus the
580. 22:02floating ones.
581. 22:04The point is that, if we entered a
582. 22:06period of drawdown, meaning losing,
583. 22:08losing, losing, losing, the agent would
584. 22:11lose less because it protects you much
585. 22:13more and, possibly, depending on how
586. 22:15that drawdown went, then in the
587. 22:17subsequent recovery the agent would stay
588. 22:19ahead of the non-agent, because the loss
589. 22:21or the drop would have been so large
590. 22:23that it would take the non-agent much
591. 22:25more effort or much more time to recover
592. 22:28and get ahead of the agent.
593. 22:31As numerical information as well, having
594. 22:33the whole agent verifying, reviewing,
595. 22:36and checking has cost me 1.89.
596. 22:39For the whole week.
597. 22:41I mean, I think it's a fairly low and
598. 22:43affordable price to have a tool that is
599. 22:45checking and verifying.
600. 22:47Of course, here you'd have to run some
601. 22:49numbers, right?
602. 22:51If in positive weeks you have a $ 7
603. 22:53deficit compared to others, you'd have
604. 22:56to see if in negative weeks, paying that
605. 22:59price of $ 1.89 while being more
606. 23:01protected actually pays off, but those
607. 23:03are longer-term numbers.
608. 23:06Another important point is that these
609. 23:08types of practices or ways of trading
610. 23:10are not the solution to anyone's
611. 23:12problems.
612. 23:13If you aren't profitable trading on your
613. 23:15own, I assure you that you won't just
614. 23:17come here, set up your agents, tools,
615. 23:19and cloud strategies, and start making
616. 23:22money.
617. 23:23That’s not how it works. Like everything
618. 23:25else, it requires a process. Maybe
619. 23:27you're better at this process. That
620. 23:28could be, but this is not the solution
621. 23:30to absolutely anything. And finally,
622. 23:32artificial intelligence isn't here to
623. 23:34replace you; it's here to help you, to
624. 23:36empower you, to automate things, to make
625. 23:38you more efficient, so you can focus on
626. 23:41what you really need to do. In this case
627. 23:43, I gave you an example of an agent that
628. 23:45checks and reviews news so you don't
629. 23:47have to, but there are plenty of other
630. 23:49tools.
631. 23:50That’s why I’m mentioning the live
632. 23:52session on Tuesday, November 17th, at
633. 23:547:00 PM Madrid time.
634. 23:56If you’re interested in seeing what I do
635. 23:58and how I do it to see if you can add
636. 24:00something to your daily routine, your
637. 24:02trading plan, or your way of operating,
638. 24:05just register below in the first pinned
639. 24:07comment, the video description, or scan
640. 24:09the QR code and we’ll see each other
641. 24:11that Tuesday, November 17th. I’ll leave
642. 24:13this video right here. I hope you liked
643. 24:15it and that it was useful, which is what
644. 24:17matters. If so, hit the like button,
645. 24:19subscribe, share it with friends and
646. 24:21family, and I’ll see you in the next
647. 24:23video.