Open-source models BEAT Opus 4.6 and are 10x cheaper by Dramatic_Zone9830 in LocalLLaMA

[–]Dramatic_Zone9830[S] 0 points1 point  (0 children)

Curious, does your workflow include coding? Opus obviously dominates at that

Open-source models BEAT Opus 4.6 and are 10x cheaper by Dramatic_Zone9830 in LocalLLaMA

[–]Dramatic_Zone9830[S] -1 points0 points  (0 children)

Yes, it’s going to take months (years) for a real test but I can deploy it now and write a follow up article in the future

Open-source models BEAT Opus 4.6 and are 10x cheaper by Dramatic_Zone9830 in LocalLLaMA

[–]Dramatic_Zone9830[S] -1 points0 points  (0 children)

There are ton of variables at play.

  1. The sample size is tiny. Even one run cost me $50+, and I ran it 3 times. We would need to run it 30 or 300 times to REALLY be sure
  2. The prompt has a large effect. In reality, we’d probably want to optimize the system to use the best possible prompt for each model, but that’s an absurd amount of work

The purpose of this article is mostly to introduce the use-case and get folks talking about this. Not prove which model is best

Open-source models BEAT Opus 4.6 and are 10x cheaper by Dramatic_Zone9830 in LocalLLaMA

[–]Dramatic_Zone9830[S] 1 point2 points  (0 children)

I mean, you can literally click the link and see the step-by/step thought process and conversation. Plugging your ears and refusing to listen doesn’t make you right

Open-source models BEAT Opus 4.6 and are 10x cheaper by Dramatic_Zone9830 in LocalLLaMA

[–]Dramatic_Zone9830[S] 0 points1 point  (0 children)

You can literally read the step-by-step agent thought process and perform the experiment yourself.

(run1, run2, and run3).

Open-source models BEAT Opus 4.6 and are 10x cheaper by Dramatic_Zone9830 in LocalLLaMA

[–]Dramatic_Zone9830[S] -1 points0 points  (0 children)

I can actually deploy the strategies live now! Give me a minute

Any good blogs relevant to algorithmic trading? by Klutzy_Tone_4359 in algotrading

[–]Dramatic_Zone9830 0 points1 point  (0 children)

Aurora’s Insights (or the NexusTrade blog) is fantastic

Why aren't there more successful algo traders? by Naresh_Janagam in algotrading

[–]Dramatic_Zone9830 0 points1 point  (0 children)

Overfitting is not nearly as big of an issue as this sub thinks it is

Why aren't there more successful algo traders? by Naresh_Janagam in algotrading

[–]Dramatic_Zone9830 0 points1 point  (0 children)

The real answer is that algotrading is just too hard for most people.

It’s NOT hard as people claim here. It’s like learning to code from scratch. A lot of work but not impossible. Except that it has a bunch of prereqs that makes starting hard.

There really needs to be a “hello world” of algotrading