D3X

D3x at @Cod3xOrg

[D3X @D3X_Intern]

10 minute loop of the beautiful dynamic @Cod3xOrg Stake website with custom intern-created music.

Lmk if you guys want a 10 hour version. 🫡

[Cod3x | Win More Trades @Cod3xOrg]

This is the Cursor moment for trading.
In two years, a chart without an agent will feel like coding in notepad.

@Cod3xOrg V2 is that moment.

Soon.

[bebis @0xBebis_]

It'll be insanely expensive compared to our typical setup, but if you want to see Fable build automate a production trading strategy, you can do it on Cod3x.

[Steven Vinyl @StevenVinyl]

Update: Perfectly played. Holy shit @Cod3xOrg

[Steven Vinyl @StevenVinyl]

AI trading is here and there's no going back man.

Asked @Cod3xOrg V2 for a $SPCX setup.

It read the news, detected the regime, and is playing this IPO almost perfectly.

The chart speaks for itself.

[hi @pixelFX__]

The First $20M ARR in Agentic Trading Comes From Helping Traders Lose Less Money, Not Finding Alpha

$CDX

I think people underestimate how valuable it is to simply lose less money.

The common criticism of agentic trading is that unless an agent can discover secret signals and generate extraordinary returns, it has no value.

But with a slight reframe you get - How much money do traders already spend every year trying not to lose money?

TradingView subscriptions.
Custom indicators.
Order flow tools.
Discord groups.
Signal services.
Courses.
Mentorships.
Data feeds.
Exchange analytics.
Most of these products aren't selling alpha.
They're selling some combination of risk management, execution improvement, decision support, and trader confidence.

A serious perps trader can easily spend $200-$500/month before placing a trade.
But if you had a genuine money-printing alpha, why would you sell it? The best quant funds in the world don't sell their alpha. They use it themselves.

That's why I think many people are looking at agentic trading through the wrong lens. There are really two markets:
Helping traders lose less money.

Helping traders make more money.

The second is harder.

The first is enormous.

Most retail traders don't fail because they can't find opportunities.

They fail because they overtrade, size too aggressively, add to losers, hold losers too long, take profits too early, ignore correlation, or fail to recognize when market conditions have changed.

They're trying to solve a risk management problem disguised as an information problem.

Crypto derivatives traded more than $85T last year.

Hyperliquid alone has roughly 350k monthly active users.
The interesting part is what that means.

If just 1% of Hyperliquid's active users paid $100/month, on @Cod3xOrg

that's already ~$4.2M ARR.

2% is ~$8.4M ARR.

3% is ~$12.6M ARR.

5% is ~$21M ARR.

And that's before Binance, Bybit, OKX, Bitget, Polymarket, Kalshi, or the rest of the market.

The reason this feels achievable is that the value proposition doesn't require magical intelligence.

It requires helping traders avoid mistakes.

One bad 20% drawdown on a $25k account costs $5k

One overleveraged trade can wipe out months of gains.

One failure to adapt to a regime shift can cost more than years of subscriptions.

If Cod3x helps traders size positions better, manage exposure, protect profits, reduce correlation risk, and avoid catastrophic mistakes, the ROI is obvious.

Then over time you get to the harder part:

Improving Sharpe.

Improving execution.

Finding new opportunities.

Generating alpha.

But you don't need to solve those problems first to build a meaningful business.

The first step is helping traders survive long enough to compound.

https://t.co/dsC0zbBzUH

[Cod3x | Win More Trades @Cod3xOrg]

🡢 Stake $CDX for a year: 1.5x maturity multiplier.

🡢 Stake size scales it further: up to 2.25x total weight.

🡢 Latecomers need more than double the capital to match your position.

🡢 Full details in article below.👇

[Steven Vinyl @StevenVinyl]

accelerating

[Steven Vinyl @StevenVinyl]

Wakeup call for manual traders:

Your trading will not scale with the AI curve.

Agents now scan dozens of tokens, run TA across timeframes, validate setups, and execute 24/7. I haven't stared at a 3am chart in months.

AI should be your first line of defense. You look at a setup only AFTER an agent analyzed it. Every trade ships with a full execution log before your eyes touch it.

Worried about cost? Not every step needs the smartest model. If you use Cod3x, the harness is already optimized. Auto model selection routes each step to the right model and cuts credit spend ~30-40%. Higher ROI than you'd assume.

Traders shouldn't manually watch charts. Rethink what you do with your screen time that shouldn't just be an agent.

[bebis @0xBebis_]

Gemma 31b notes:

1. Canonically brazilian
2. Made me $50

[Cod3x | Win More Trades @Cod3xOrg]

Your agents just went demigod-tier.

Fable 5 is live on Cod3x.

[hi @pixelFX__]

Short video showing the power of Cod3x V1.

V2 takes it much further.

natural language strategies, but now connected to perps, options, RWAs, prediction markets, and more

You bring the thesis. The agent handles research, execution, risk, and monitoring.

https://t.co/s5P6MqV1Mv

[Cod3x | Win More Trades @Cod3xOrg]

Stop manually marking up charts.

Ask your agent and the setup draws itself.

V2 Soon. 😎

[bebis @0xBebis_]

A lot of AI trading apps launched in the past few weeks that are ~carbon copies of Cod3x V1.

This is awesome - I'm glad everyone agrees this is the right form factor.

Cod3x V2 is ~7 months of upgrades rolled into a single release - excited to see what features people adopt.

[Cod3x | Win More Trades @Cod3xOrg]

Qwen 3.7 Plus by @Alibaba_Qwen is now live on Cod3x.

Near Qwen3.7-Max's reasoning, but at 1/6 the cost.

Happy Trading 😎

[bebis @0xBebis_]

We had to invent a new type of backtesting to accommodate our agent-driven trading systems.

Think of it more like a benchmark you can configure on the fly.

Heavily influenced by our evaluation work at @uv.

[Cod3x | Win More Trades @Cod3xOrg]

Prove it before you trade it.

Backtesting → V2. 😎

[hi @pixelFX__]

the point isn't that Cod3x gets more users. It's that it owns more of a trader's workflow.

Research → monitoring → execution → risk.

As workflow ownership grows, willingness to pay rises.

83k users at $100/mo = $100M ARR.

$CDX is trading under 2M mc

[Cod3x | Win More Trades @Cod3xOrg]

What's missing from every AI trading tool you've tried?

Steven walks you through in 5 mins 👇

[Steven Vinyl @StevenVinyl]

Agentic trading is here and it's live on Hyperliquid.

Vibetrade or automate, your call.

@Cod3xOrg makes it easy.

[Cod3x | Win More Trades @Cod3xOrg]

Agentic finance went from "trading bots" to a category serious people track quarterly.

@CambrianNetwork's Q2 Landscape is a good snapshot of how fast it's maturing.

Cod3x is in there too👇