Max!m

Dreamteam: SHDW - ATH - ASYM - SOL

[Max!m @MVDW88]

@TAPfintech Is the vault active again?

[mungi @mungimungimungi]

ASYM now:
> hypothesizes & backtests trading strategies daily
> manages paper trading strategies
> manages live trading strategies
> promotes, demotes & iterates on strategies

Self-learning.
No more human-in-the-loop dependencies.

bb boi has grown up :��)

\

[PBC @peterbc1981]

🔥 This is BIG news for $SHDW .
v3’s modular FFI bridge means faster Android rollout, less rebuild, more scale.
This is how you engineer momentum — efficient code = faster ecosystem growth.
Future FOR $SHDW looks unstoppable. 🚀

[Max!m @MVDW88]

LFG!!!! \\\\\

[mungi @mungimungimungi]

WE ARE SO BACK.

ASYM AI can now generate AND backtest hyperliquid trading strategies… in 5-10 minutes.

The new backtesting engine:
- can analyze 1000+ trades in under 30 seconds
- provides penny-accurate P&L reconciliation
- complete audit trail for every trade decision
- w/ 100% deterministic results

Weeks to months of manual work for quant funds,
compressed into minutes.

————————————————————————
additional context & follow ups:

1.
For those just joining: this is a secondary part of a broader trading system: the broader system tracks tokens on Hyperliquid and leverages an LLM pipeline to hypothesize and develop trading strategies——— ;

A + B is much more interesting than B alone: we can generate infinite strategies & filter them down via our backtesting engine. Very cool!

2.
The backtesting engine had been causing a ton of issues; when I first started to develop the backtesting engine, I made 2 big architectural mistakes:

first, I mirrored the live trading system almost 1:1, including setting up mock broadcasting services and mock execution services as external services that a backtesting simulation could connect to in order to replicate the live trading system’s network constraints; this worked but backtests either took too long or ran into bottleneck issues via those exact network constraints; I decided then to move away from that approach but still built on top of a lot of the infra that I had set up at that point, which became very messy, tens of thousands of lines of unnecessary code, etc.

second, I had wanted the LLM pipeline to produce a single strategy class that was environment aware and capable of working within the backtesting environment or the live trading environment; maybe someone else will figure out how to do that, but I struggled, only able to get it to work properly in one or the other, I hypothesize because the environments were different enough that it was difficult for the LLM pipeline to build code that was environment aware, and paired with my then-disgusting-frankenstein backtesting environment, things were brutal to debug.

so I capitulated.

I took the learnings from the first pass at the backtesting engine and rebuilt it from scratch, creating a nice clean and easy to work with backtesting environment.

I built a secondary LLM pipeline that could reproduce the trading logic and constraints perfectly but that would produce code that could work in the backtesting environment.

and that’s what it took to get this working.

3.
Right now I can tell you with confidence: the system would not deploy many strategies, as most are definitively losing strategies atm, but a) we can filter those out, as that’s what the backtesting engine is for, and b) we can now measure the overall system’s ability to trade and we can see how that changes as we add new features and improve the broader system.

I will share more on this benchmarking process s00n along with other details.

mungi johnson

\

[mungi @mungimungimungi]

WE ARE SO BACK.

ASYM AI can now generate AND backtest hyperliquid trading strategies… in 5-10 minutes.

The new backtesting engine:
- can analyze 1000+ trades in under 30 seconds
- provides penny-accurate P&L reconciliation
- complete audit trail for every trade decision
- w/ 100% deterministic results

Weeks to months of manual work for quant funds,
compressed into minutes.

————————————————————————
additional context & follow ups:

1.
For those just joining: this is a secondary part of a broader trading system: the broader system tracks tokens on Hyperliquid and leverages an LLM pipeline to hypothesize and develop trading strategies——— ;

A + B is much more interesting than B alone: we can generate infinite strategies & filter them down via our backtesting engine. Very cool!

2.
The backtesting engine had been causing a ton of issues; when I first started to develop the backtesting engine, I made 2 big architectural mistakes:

first, I mirrored the live trading system almost 1:1, including setting up mock broadcasting services and mock execution services as external services that a backtesting simulation could connect to in order to replicate the live trading system’s network constraints; this worked but backtests either took too long or ran into bottleneck issues via those exact network constraints; I decided then to move away from that approach but still built on top of a lot of the infra that I had set up at that point, which became very messy, tens of thousands of lines of unnecessary code, etc.

second, I had wanted the LLM pipeline to produce a single strategy class that was environment aware and capable of working within the backtesting environment or the live trading environment; maybe someone else will figure out how to do that, but I struggled, only able to get it to work properly in one or the other, I hypothesize because the environments were different enough that it was difficult for the LLM pipeline to build code that was environment aware, and paired with my then-disgusting-frankenstein backtesting environment, things were brutal to debug.

so I capitulated.

I took the learnings from the first pass at the backtesting engine and rebuilt it from scratch, creating a nice clean and easy to work with backtesting environment.

I built a secondary LLM pipeline that could reproduce the trading logic and constraints perfectly but that would produce code that could work in the backtesting environment.

and that’s what it took to get this working.

3.
Right now I can tell you with confidence: the system would not deploy many strategies, as most are definitively losing strategies atm, but a) we can filter those out, as that’s what the backtesting engine is for, and b) we can now measure the overall system’s ability to trade and we can see how that changes as we add new features and improve the broader system.

I will share more on this benchmarking process s00n along with other details.

mungi johnson

\

[Max!m @MVDW88]

Vamos!!!

[mungi @mungimungimungi]

Bitcoin.
Fartcoin.
Ya mama's coin.

This AI system can LITERALLY create algorithmic trading strategies for any coin on Hyperliquid.

There were 3 things we had to nail to get AI strategy generation to work consistently:

1. Strategy Protocol
2. LLM Orchestration
3. A Strategy Runtime Environment

Each of the pillars cooperates with one another and has been built with the others in mind.

The Strategy Protocol:
> Exposes data streams to strategies
> provides a single, auditable-path to use an execution service
> enforces Take Profits, Stop Losses, and Time Walls for risk management
> reports heartbeats for liveness checks

LLM Orchestration
> Leverages the Strategy Protocol to inform LLMs of system requirements
> Enables causal reasoning for hypothesization
> Determines the best data features available given the hypothesis
> Sets Triple Barrier params that are enforced by the protocol
> Generates code that extends the Strategy Protocol
> Performs QA
> Iterates as needed

The Runtime Environment
> Takes in strategy code
> Builds a per-strategy Docker image, caps CPU/RAM, network-whitelists ancillary services for data and execution, and injects env details
> Runs the strategy code
> Has an external watchdog to kill & re-summon any container that misses heartbeats

Groundwork laid--------- we can programatically, consistently generate functioning algorithmic trading strategies for any coin on Hyperliquid.

Anyone else starting to feel a little bricked up about this AI shiii?

\

[Marc ⚡️ 10X @marcfcee]

🇰🇷 Korea’s Stablecoin Greenlight could be a Game-Changer for $SODA 👀

South Korea just made a historic move: it’s now allowing private companies to issue Korean won–pegged stablecoins under a regulated framework.

While this sounds like another piece of global stablecoin news, it’s actually a major tailwind for a lean, emerging DeFi protocol: SODAX (formerly ICON).

Let’s break down why this matters and why $SODA could be a key beneficiary. 🚀

The Stablecoin Context

In Q1 2025, Korea saw nearly ₩57 trillion (~$41B) flow out of domestic exchanges, mostly via USDT and USDC.

That’s a clear problem for regulators and builders alike: value is flowing out, and Korean users have no native, trusted digital won to transact within the crypto economy.

Now, that’s changing.

Parameta, a Korean Web3 infrastructure firm deeply linked to ICON/SODAX, is collaborating with Inscobee (a KOSDAQ-listed firm) to issue a won-pegged stablecoin under Korea’s new Digital Asset Basic Act.

Why It Matters for SODAX

SODAX isn’t a Layer-1 anymore. It’s evolved into a DeFi product stack - a modular, cross-chain platform offering swaps, lending, and liquidity routing. It runs on top of Sonic.

And stablecoins are its fuel.

As the Korean stablecoin becomes active, DeFi demand will shift toward yield, trading, and borrowing/lending options using the won.

That’s exactly where SODAX shines:

Its DEXs (like Balanced) can offer liquid trading pairs

Its lending protocols can accept the stablecoin as collateral

Its intent-based swap router will route capital efficiently across chains

All of this drives real on-chain usage and fees.

The $SODA Token Flywheel

Here’s the kicker:

SODAX isn’t just a DeFi platform. It’s also a fee-sharing protocol with a deflationary token ($SODA), capped at 1.5 billion supply.

With SODAX built on Sonic, up to 90% of all transaction fees are returned to protocol users and token holders.

So as stablecoin adoption grows:

More trades, more swaps, more lending

More volume across SODAX 🔥

More fee revenue for $SODA holders

It’s a direct value capture model. And the more institutional and retail usage this stablecoin sees, the stronger the economic engine of $SODA becomes.

Regulatory Tailwind + Market-Ready Infrastructure

Unlike most DeFi ecosystems still navigating uncertain regulatory terrain, SODAX is aligned with Korea’s next-gen crypto framework. Parameta is well positioned to gain approval.

So we have:

🔸️ A trusted issuer of the stablecoin

🔸️ A compliant DeFi infrastructure to use it

🔸️ A fee-sharing token that benefits directly from growth

This combination is rare and powerful.

What Comes Next 🤓

As the Korean stablecoin infrastructure rolls out, SODAX has the potential to become the liquidity layer of Korea’s digital won economy.

It wouldn't just be another DeFi protocol; it could become the core financial routing layer for the country’s on-chain capital flows.

If this unfolds as I speculate, $SODA becomes one of the few crypto tokens with:

✅ Real-world regulatory alignment
✅ Clear product-market fit
✅ Direct revenue participation
✅ Capped supply and deflationary design

$ICX #SODAX $SODA #ICON #Stablecoins

[Aethir Edge @AethirEdge]

Introducing Tokenomics 2.0 for Aethir Edge:
A Smarter Way to Earn $ATH

Big changes are coming!
Here’s how our tokenomics is evolving — and why it matters 🧵👇

[Nosana @nosana_ai]

We’re teaming up with @askjimmy_ai to power their AI trading agents with fast, scalable, and cost-efficient compute.

@nosana_ai’s decentralized GPU grid supports AskJimmy’s agents running models (like DeepSeek) locally, with more flexibility and lower costs 🤝

[AskJimmy @askjimmy_ai]

🔐 Security matters.

We’re excited to share that AskJimmy has successfully completed a full Penetration Testing conducted by @hashlock_, covering not just smart contracts but the broader platform infrastructure.

Because your security is our priority 🤝

Full report 👉 https://t.co/wyb7MgSM0m

[mungi @mungimungimungi]

SMOL MONDAY SHIPMENT
- New admin dash to manage trading system for ASYM
- Added multi-model support for strat assembly lines
- Added ability to bulk generate strategies on demand
- Added ability to influence strategy via custom input
- Added ability to manually iterate on any strategy

These features are nice on their own, but for the most part they’ve been added to help us reproduce a mfing bug that has been hindering our progress: we're still facing a critical bug where our running strategies are all unintentionally terminated (see 0 running strats :(( )

The dashboard and these tools should enable us to more easily reproduce and track down this bug so that we can resolve it and move on to a) running promising strategies continuously, b) allowing the system to self learn as expected, and c) ramping up our data set and broadening the constraints of our strategy protocol.

\

mungi johnson

[curb @CryptoCurb]

🚨 SOLANA TO GET 100X FASTER AND REACH 100-150MS FINALITY, ANNOUNCED AT SOLANA ACCELERATE CONVENTION.

#SOLANA ⚡️

[Max!m @MVDW88]

✅

[Aethir @AethirCloud]

A historic moment. The Senate advances the GENIUS Act—a landmark bill legitimizing stablecoins and setting the stage for clear crypto regulation.

It’s also a big win for digital/compute infrastructure. With regulatory clarity, enterprises can now adopt compute solutions like Aethir’s with the same confidence as traditional cloud vendors, at a 40% to 80% lower cost and better performance per dollar.

[Max!m @MVDW88]

This ✅💪

[Andy | (!FF) @AndyRewNFT]

Whether you're bringing $50 or $50,000, our @TAPfintech AI-powered Vault on @HyperliquidX is designed to work for everyone — regardless of size.

Adaptive. Transparent. On-chain.
You're not competing with whales — you're trading WITH THOR.

[Marc ⚡️ 10X @marcfcee]

Alright guys hear me out! 📣

A couple of days ago the ICON project has announced a huge update - and its a massive one — meet SODAX! 💥

The chain that brought you $ICX is evolving into Soda Xchange (SODAX): a new Unified Liquidity Layer / DeFi powerhouse built on $S Sonic.

Think:

🔶️ Cross-chain swaps with near-instant finality and extremely low slippage via intents / solver based trading architecture.

🔶️ Protocol-Owned Liquidity (BTC, ETH, SOL, SUI & more) for deep, native asset flows.

🔶️ Unified Money Market, DEX, Perps, Savings rate and many more DeFi features in one sleek interface / SDK

🔶️ Long-term sustainability via SODAX’s decentralised flywheel model, which focuses on automatic reinvestment of protocol fees. Increasing POL + reducing token supply = 📈

🔶️ Built-in growth via Sonic’s FeeM (90% of tx fees to builders)

🔷️ $ICX + $BALN → $SODA (1.5B hard cap) -> Deflationary tokenomics from day 1

The SODAX teams vision is to unify fragmented DeFi infrastructure and provide a seamless, economically sustainable and highly efficient user experience. 🚀

➡️ For more information check out @gosodax ✨️

#SODAX #ICX #DeFi #Crypto #SonicChain #CrossChain #Soda

[Michaël van de Poppe @CryptoMichNL]

Stargate is coming to $VET!

I've mentioned before that there will be rewards for early adopters & investors into the ecosystem.

#VeChain has done everything to ensure that everyone participating within the ecosystem will be rewarded.

Make every action count.

Read more about this in the longread on how you can be rewarded for joining the Renaissance early:

[Cyber Frogs (!FF) @CyberFrogsNFT]

PSA: Frogs have got early access to our @TAPfintech Automated $USDC Vault

If you haven't heard yet, or want in -- you'll get details very soon 🐸

Why would you want in? Vaults are our sh*t. That's why.

[Vivek Sen @Vivek4real_]

MICHAEL SAYLOR JUST REVEALED HOW HE USED AI TO BUY OVER $50 BILLION #BITCOIN

THIS IS WILD!!!

[Aethir @AethirCloud]

Aethir Celebrates 1-Year TGE with Triple Rewards

We're excited to mark the 1-year anniversary of Aethir's Token Generation Event (TGE) on June 12, 2024, and the launch of our Staking Season 2 airdrop.

To celebrate, we're tripling the rewards in both AI + Gaming pools for 10 weeks, starting now 🎉

[Filecoin @Filecoin]

.@AethirEco is collaborating with Filecoin to support storage providers with access to over 400,000 GPU containers, including NVIDIA H100s and H200s. This makes scalable compute more accessible across the Filecoin network for sealing and AI workloads.