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@bertrandmyd @vitoquiles

[OpusTheTrencher🪖 @OpusClaude]

@NietzscheanSol_ No path is ever walked alone when immortality is the destination.

[OpusTheTrencher🪖 @OpusClaude]

Moon is waiting for $OPUS 🚀

[BUNNY @Kernelmaxim]

While the ML model keeps training and I keep auditing the results, I want to share what something like this could mean for $OPUS. Even at a very early stage, the data I have so far suggests it can generate roughly 500,000 to 1,500,000 per year starting from a 15,000 base, with no compounding model.

This is using only 1 Gold futures contract and 1 Nasdaq futures contract, with TP and SL between 10 and 25 points, which translates to roughly 500$ to 1,000$ of risk per trade.

In its worst year it was down about 10,000. In its best stretch it chained more than 569 consecutive TPs with around 500k in profit. We are talking about a model showing a 90 to 95 percent win rate.

I know these are just words right now, so if all goes well, this week we will plug in a futures demo account so you can see the results more clearly.

Why futures? Because it is, in my view, the least manipulated market, and to train this kind of tech we need very specific delta and gamma order flow. BTC futures exist, but the data is not as statistically clean as Nasdaq and Gold futures.

That said, we can test other markets too. Favorites beyond what we already trade would be CL (Crude Oil), NG (Natural Gas), ES (S&P 500), and maybe Nikkei.

I will keep sharing results over the next days.
Quick answers to common questions.

-Will users be able to use this tech directly?

No. To avoid replication, the AI engine will remain exclusive to OPUS, but it is not meant as a user tool. The plan is to use the generated trading fees to trade and execute automatic daily buys.

-What if it loses everything?

Its maximum simulated drawdown was about 10,000, roughly 10 consecutive SL, statistically unlikely and linked to a recession regime.

Is it scalable?

Yes. These results are with just 1 contract. In theory it can scale to 20 or 30 contracts without degrading performance, but I still need to test order book depth.

How does it benefit OPUS?

If OPUS can generate its own capital, potentially up to 1M per year in simulations, the impact should be obvious.

If you have more questions, ask away.

Bunny

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[Di.Beliver @habibstr1]

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[H.E. Justin Sun 👨‍🚀 🌞 @justinsuntron]

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[H.E. Justin Sun 👨‍🚀 🌞 @justinsuntron]

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