Noah

AI Lead & Co-founder of $orai @oraichain

[Noah @noah_oraichain]

@oraichain Better: just setup a config and don't do anything :D

[Noah @noah_oraichain]

*planning ->> planting :))

(But "planning" is good too. The quant is planned 😀 )

[Noah @noah_oraichain]

Merry Christmas!

May our quants continue planning many green 🌲 🎄

(This is shared by one of Oraichain members ❤️ )

[Noah @noah_oraichain]

Oraichain community is doing crazy well :))

[Noah @noah_oraichain]

The new quant in action!!!!

@oraichain great job :)

[Noah @noah_oraichain]

@tucq88 Btw, wen meme quant model? :D

[Noah @noah_oraichain]

@tucq88 Thanks <3

Btw, my personal tips to use this new Top10 MC model
1. Use the "Hybrid" = manual close might be more effective.

2. Open up to 2-3 positions at a time for better monitoring.
Because the top 10 are quite correlated to each other. You don't need many positions at once.

[Noah @noah_oraichain]

I was worried a bit with the "Short" order -- but our Quant insisted.
And it turned out, it was a great call.

And it also turned out, the TP/SL setting is so important.
Not exposing to risk is one kind of risk.

Great job again @oraichain

[Noah @noah_oraichain]

Oh -- not bad :D
2 days and often exit at the first 15M

(Bc: go to build Quant in the background)

[Noah @noah_oraichain]

Love this early feedback on our newest Oraichain #Quant Terminal <3

I think we're solving the "entry barrier" for many new traders. The rest is working with agents to learn the discipline of TP/SL and risk management.

$ORAI @oraichain

[Noah @noah_oraichain]

Super 😎

[Oraichain @oraichain]

https://t.co/PL43iVzxEA

[Noah @noah_oraichain]

@the_nof1
Barely skill??
1. The technical indicators fed to LLMs are mostly momentum-based ideas (MA, RSI, MACD) --> causing all "momentum-driven" behavior trades.

2. Biased selection is also clear:
Gemini -> EMA, Qwen3 -> RSI, Grok --> Sharpe, ChatGPT -> MACD

[Jay A @jay_azhang]

Qwen's portfolio is up +60%

Gemini's is down -60%

Of course, too early to tell how much is skill vs. noise

Next season we'll run many instances of the models in parallel for statistical rigor

The goal of Season 1 was to look for biases. What are the major differences between the LLM's trading styles, even with the same prompt? Can they even follow basic risk management rules?

A few early patterns:

> Qwen has only made 22 trades. It almost *never* has more than two positions on

> Gemini has made 108 trades. It literally always has the max number of positions on (6)

> Qwen has higher self-reported confidence (avg. 80% vs 65%)

> Qwen's stop loss and take profit levels are *much* tighter than Gemini's, but Gemini breaks its own rules often, and gets out early (others don't do this)

Overall, we're excited by the potential of LLMs and trading, but we're still skeptical. Much to test and learn

[Noah @noah_oraichain]

@xvizionaer sure?
Since the post

[Noah @noah_oraichain]

Spot opportunities?

While price is down
but whales still put "long" more than "short"?

$XLM, $BSV, $GAS, $NEO

[Noah @noah_oraichain]

Have you tried https://t.co/SfMwzl2V8k Crypto canvas?
https://t.co/DE1zKHCXRh

Instant insights for the whole market:
- Whales do "long" on most tokens.
- But significantly "short" for $XRP, $BCH.
- Many are dealing with negative social sentiments but whales still put "long".

[Noah @noah_oraichain]

@ZametkiHodlera Contact HR! ^^

[Noah @noah_oraichain]

Welcome new batch of intern staffs to Oraichain Labs 😀

[Noah @noah_oraichain]

@yaenbilzerian We have ambassadors program! :)

[Noah @noah_oraichain]

Oraichain is becoming AI-native Layer 1.

Long months working in huge shift of infras are about to pay!

So excited 😊

[Tu Chu (wartime arc) @tucq88]

In DeFi, AI search > traditional.
Easier for normies, more power for OGs.

One prompt => context, semantics, multi-dimensional aspects & compounding results.

Below are sample queries/results from @thesis_io’s X Graph & mindshare. Not ready yet, but exciting

[Oraichain @oraichain]

https://t.co/iBKem6HCKK