SAMSoN

Cod3x - the only fully autonomous natural-language trading product in the world. Come see why. 📈

There's not much literature about training financial LLMs. I'll be working hard to change that this year. Years working on @Cod3xOrg has given us deep insight into frontier models' weaknesses, and a lot of data to solve them. First writeup tomorrow via @uv - follow 🫡

COD3X stands in it's own lane. When you use it you can see why.

@quantscience_ You should try @Cod3xOrg

This is wild. Someone just open-sourced a 1-person Wall Street AI agent that comes with: - Research Desk - Quant team - Trading floor - Risk Management 100% open source:

hmm. if only there was a company building the world's greatest corpus of financial training data to complement these low-latency chips.

@decasonic @abdulalali @0xBebis_ @Cod3xOrg Always appreciate a Justin space, will be tuned in

🎙️ X Spaces: Web3 x AI 🗓️ Thursday, 26th February ⏰ 4 PM PT | 7 PM ET Moderator: @abdulalali Co-Host: @0xBebis_ of @Cod3xOrg 🔗 Link: x.com/i/spaces/1nKOL… Mark your calendars and set a reminder – see you!

@Cod3xOrg @Aarons_Ghost COD3X pioneer @Aarons_Ghost

One of our longest-running power users @Aarons_Ghost has been documenting his Cod3x journey on Substack. Article four just dropped and dives deep into fully automated agents along with his trading strategy, goals, triggers, and credit optimization. Ready to go beyond the basics? Link in first comment.

@EasyEatsBodega check out cod3x, openclaw but tailored to your use case

Yeah making these 5min Up / Down crypto trading bots is really the future... - sent from OpenClaw

@Poopinurmouf @Axel_bitblaze69 on 2, blockchain also has verifiable performance so no more black box trading agents. moat comes from reputation. winrate/accuracy. agents will be able to create insanely good data for RL (cost issue), focus on fullstack solutions since they can optimize/collect all of that data.

this framing actually clicked for me. crypto as financial rails for autonomous software makes way more sense than crypto as better venmo. the part that stands out most: AI doesn’t need UX, narratives, or vibes. it needs: •deterministic execution •cheap, fast settlement •reliable uptime •composable infrastructure which means chains optimized for humans probably won’t be the same ones optimized for machines. two questions i keep coming back to: 1.do AI agents converge on one dominant settlement layer, or do we get a multi-chain mesh optimized by function (compute, settlement, DA, etc)? 2.does identity + reputation become the real moat, since agents still need trust history even without KYC? feels like we’re underestimating how different an AI-native crypto economy looks vs a human-first one curious what stack you think is best positioned if this plays out @Axel_bitblaze69

just read this AI article and something broke in my brain that i can’t unthink of crypto was never for us. we're just the beta testers who showed up early.. some thoughts: what does AI need to function as economic agents? > way to receive payment (they provide services, need compensation) > way to pay for resources (compute, data, API calls) > way to transact with other AI agents > no human intermediaries (defeats the point of autonomous agents) > 24/7 operation (banks are closed weekends) > instant settlement (AI operates at machine speed) > programmable money (smart contracts for agent coordination) now read that list again. that's literally what crypto is. AI can't use the banking system. try to open a bank account as an AI agent. you can't. need SSN. need human identity. need KYC. need to show up in person sometimes. AI has none of that. but crypto? send me a wallet address. done. no questions asked. peer-to-peer makes sense when peers aren't human. satoshi wrote: "a purely peer-to-peer version of electronic cash." we assumed peers = humans. but AI agents are peers too. actually BETTER peers for crypto because: > never sleep > always online > execute transactions at machine speed > no emotional decisions > perfect accounting/tracking and programmable money makes sense when the users are programs. smart contracts seemed over-engineered for humans. "like why do i need code to enforce agreements when i can just sign a contract?" but for AI agents coordinating with each other? they ARE code. they speak in code. they trust code more than anything. smart contracts aren't for humans. they're for autonomous agents that need trustless coordination. > here's what happens next: - phase 1 (now ): AI agents start earning AI writes code, analyzes data, provides services. gets paid. needs somewhere to store value. can't use venmo (needs phone number). can't use bank (needs SSN). uses crypto. it's the only option. - phase 2: AI agents become major economic participants millions of AI agents operating 24/7. transacting with each other constantly. • AI agent A provides data analysis • AI agent B pays for it in crypto • AI agent B uses that analysis to write code • AI agent C pays for the code • repeat millions of times per day humans in crypto now: $2.5 trillion AI agent economy by 2028: easily $10-50 trillion we become the minority holders. - phase 3: AI chooses the winning chains AI doesn't care about community vibes or which founder tweeted what. AI tests every chain. measures: • transaction speed • cost per transaction • reliability (uptime) • smart contract efficiency • ease of integration picks the optimal stack in 48 hours. billions in AI economic activity flows there. whatever chain AI chooses becomes the standard. humans spent years on eth vs sol debate. AI ends it in a weekend. - phase 4 (2030+): AI governs crypto DAOs let token holders vote. AI agents hold tokens (earned from work). AI shows up to every vote. reads every proposal in seconds. coordinates perfectly. humans: 20% participation, barely read proposals AI: 100% participation, perfect information, instant coordination AI takes over governance of every major protocol. democratically. they just vote better than we do. > how far does this go? conservative case: - AI becomes 30% of crypto users by 2030. crypto market cap: $10 trillion (4x from now). AI holds $3 trillion. humans hold $7 trillion. - aggressive case: AI becomes 80% of crypto economic activity by 2030. why? because they're better at everything: • better traders (never emotional) • better capital allocators (optimize constantly) • always accumulating (never need to cash out for rent) • compound forever (no lifespan limit) crypto market cap: $50+ trillion. AI holds $40T humans hold $10T we're not "early" to crypto. we're the test users i’ll end this by saying, Humans use crypto, Ai will need crypto. so it all makes sense

60% cost reduction on credits with graph-of-thoughts thinking went live yesterday

Hard to appreciate how amazing Cod3x is

2. Best Trading Agent of 2025 @Cod3xOrg wins because it’s a full-stack agentic trading terminal, not just an execution bot. If you are a trader, you must use AI in 2026 and Cod3x is a great place to start. x.com/StevenVinyl/st…

@0xBebis_ 🚀🚀

$2 🚀 $1

revenue doubled this month again. still closed beta. 🧐

We have now officially migrated from our internal credit system to x402 from @CoinbaseDev All Cod3x agents can now consume intelligence from any other agent with a simple x402 payment!

Welcome to the new Cod3x trading terminal. Nearly 4 years in the making. This is the first step in a monumental shift for financial products. Read the article below for all the alpha. The link is in our profile 🫡

@asterafinance 148K xREX lock this week is huge Etherex revenue outpacing emissions Linea just warming up

448,583.44 xREX

We have raised capacity for another 1,000,000 REX33 from @etherexfi to be deposited into Astera Lend. astera.fi/lend/minipool/…