A.I Trader’s Playbook: The Insider’s Guide to A Day in the Trenches
Corona Del Mar, CA
Howdy Friend,
People ask me all the time what it's like to trade several A.I strategies together.
How long does it take? What am I trading? How much am I trading?
Let's answer those questions.
First of all, here are the top 10 strategies (out of 100) being traded this month. The A.I selects which ones to trade (you're leaving massive profits on the table if you don't harness strategy cycles): |

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You can see that it has us getting out of LABU and into LABD. These are biotech ETFs.
Next it has a limit order to get out of the mega-popular TQQQ ETF. As I write this, it's fairly close to that limit, but I don't think it'll get hit. These orders are just good for the day. Not GTC.
Same with SOXL. It's not going to be filled today which is fine.
Then we have an order to get out of TECS (an inverse tech ETF, which is a bit of a hedge on the other tech positions)...and into TECL at a limit of 52.65.
TECL opened at 52.22, so it was easily filled. As I write this, it is already profitable. That limit is there just in case of a big gap up -- you don't want to overpay on these trades because they only last a week or two. As far as "how much" to put into each trade, you just look at the weight.
For example, the LABU trade says 3.4%. So if you have $100,000 then you'd buy $3,400 worth. Since a lot of these ETFs are leveraged, I dialed them back. This Meta Ai (strategy of strategies) shows a 76.6% annual growth rate in tests. I could easily dial it up to 300% or more, but then the volatility would be like getting kicked in the nuts by Big Foot's steel toed boots. There's actually a Trade Plan calculator built into Portfolio Boss that can tell you how many shares to buy based on your account size.
So that's a day in the life of an A.I trader. Not exactly rocket science is it? Contrast this with the insane amount of reading and research one has to do if they're trading news, or the endless drawing of lines on charts (even though that's pseudoscience). Behind the scenes, it took Josh Jarrett 46 years of compute time to have the A.I build these strategies. Thankfully we have 3,500 computers linked together or this wouldn't be possible. |
If you're looking to make serious money, more consistently than ever, here's how to do it:
P.S. It's looking more and more like I'll be starting a hedge fund. While our SuperAi tools will be available for years to come, I likely won't. So don't dilly dally if you want to learn from the founder.
P.P.S. We're quickly making progress on having this entire process automated. That way you'll just have to log into your broker once a week. That way you can trade 20, 30, or even 40 strategies at once without breaking a sweat.
More strategies = more consistency and less slippage.
P.P.P.S If you're a long-time reader, you may have noticed I rarely bash on Elliott Wave Theory anymore. I don't have to. It evaporated from the cultural bloodstream like a vampire exposed to sunlight. Mounting losses are a stake to the heart of any trading idea...too bad it took something like 70 years.
It's not that people are suddenly smarter and can see through bullshit...it's probably because it's just too much damn work.
More from me soon! |
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Disclaimer: The results listed herein are based on hypothetical trades. Plainly speaking, these trades were not actually executed. Hypothetical or simulated performance results have certain inherent limitations. Unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not actually been executed, the results may have under (or over) compensated for the impact, if any, of certain market factors such as lack of liquidity. You may have done better or worse than the results portrayed.
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