VolumeEdge

Breakout and Momentum Trader.

[VolumeEdge @VolumeEdgeJ]

Lead by example.. Promotes from within until they steal thunder. Next, that user is "on vacation" or she lied a user had a competing discord service when that member was throwing out 500-1000% bangers every day. 13.8k people saw this and 135 agreed with that quality of character

[0xMarioNawfal @RoundtableSpace]

ANDREJ KARPATHY JUST RELEASED A 12-PAGE GUIDE ON BUILDING SELF-IMPROVING MULTI-AGENT GRAPHS.

[cory magana @corymagana1]

$SPX

[cory magana @corymagana1]

$SPY

[cory magana @corymagana1]

$QQQ

[Hawkeyes @hawk_eyes20]

Gave GLD 😊

[cory magana @corymagana1]

$SPX

[cory magana @corymagana1]

$SPY

[cory magana @corymagana1]

$QQQ

[Hanako @hanakoxbt]

6 agent patterns for AI engineers:

(explained with usage)

1) prompt chaining
→ split the task into fixed steps, each one checking the last.
→ use when the task decomposes cleanly and accuracy matters more than latency.

2) routing
→ classify the input first, then send it to the model or tool built for it.
→ use when inputs fall into distinct classes that need different handling.

3) parallelization
→ run several calls at once and merge them, either by splitting the work or voting on the same question.
→ use when subtasks are independent, or when one answer deserves several opinions.

4) orchestrator-workers
→ a lead model decides what the subtasks are at runtime, then delegates them.
→ use when you cannot list the steps in advance.

5) evaluator-optimizer
→ one model writes, another grades, the loop repeats until it passes.
→ use when you have clear criteria and iteration measurably helps.

6) autonomous agent
→ no fixed path. it plans, acts, reads feedback from the environment, and decides when it is done.
→ use when the steps are unknowable and you can afford the cost and the blast radius.

the first five are workflows: you wrote the path. only the last one writes its own.

most production systems people call agents are pattern 1, 2, or 5 with good error handling.

this taxonomy is from Anthropic's own writeup on building effective agents.

full breakdown in the article below.

[cory magana @corymagana1]

$SPX

[cory magana @corymagana1]

$SPY

[cory magana @corymagana1]

$QQQ

[cory magana @corymagana1]

$VIX

[VolumeEdge @VolumeEdgeJ]

😂

[Dr. Hunter @RileyPHunter]

And anyone that doesn’t understand Skew, here’s a prime example.

[VolumeEdge @VolumeEdgeJ]

You're The real deal. I have unfortunately experienced large accounts here on X that give trades (later found to been lies in their servers) and marketing gimmicks with charts that forecast moves, then those charts are modified or purged once they fail. At best, accountability is not present.

[VolumeEdge @VolumeEdgeJ]

Phenomenal work by @hawk_eyes20 One of the best damn shot callers I've ever worked with and very pleased to have her on our team at Flow State Trading. Come check out our discord with a risk free 2 week trial linked below. We look forward to having you !

https://t.co/Zlz7nq0RGw

[Hawkeyes @hawk_eyes20]

So META guess you believe me now

[VolumeEdge @VolumeEdgeJ]

@DaBimboCantLose @blondebroker1 It's just unfortunate and disappointing. You'd think it would be preferable to foster growth and showcase talent, but its preferable to her kick out the room and then block.

[VolumeEdge @VolumeEdgeJ]

@ThinAirTrading @KarenSmithFL @rockregan 😂 thanks friend