Morty

[trenches.com @trenchesdotcom]

Gm, Martian’s ☕️

[Joe McCann @joemccann]

https://t.co/xHk1FrwW1l is the most successful app in web3 history.

It's less than one year old.

Now, imagine 95% of that revenue gets distributed to token holders.

That is @FOMO3DdotAPP

https://t.co/Qxo26xaovl

[Knowledge Up Only @KnowledgeUpOnly]

On-chain smart contracts needed to interoperate?

Please.. Quant with SATP and MIT are in a different league.

$QNT $LINK

[Opaque @Opaque1555]

The next big Solana DeFi project @FOMO3DdotAPP

✅Audited by Raydium Auditor
✅Integrated with Jupiter
✅#1 Crypto Hedge Fund is an investor

Your chance to buy the next Raydium at $50m🧵

[trenches.com @trenchesdotcom]

The Automatic Trading Machine (ATM) differs from traditional crypto trading bots in several key ways:

1. Trigger Mechanisms:

- Traditional Crypto Bots: These usually operate by monitoring on-chain data like transaction mempools, price movements, or trading volumes directly on the blockchain. They react to these blockchain-specific events to execute trades based on pre-set criteria.

- ATM: It goes beyond the blockchain by incorporating real-time off-chain triggers. Examples include when a token gets listed or updated on platforms like DexScreener or CoinMarketCap. Trigger on TG call rooms. Trigger on an X influencer. This external monitoring allows for a broader range of triggers not limited to what's happening directly on the blockchain.

2. Strategy Flexibility:

- Traditional Bots: Limited to strategies based on on-chain data and might struggle with real-time adaptation to external market changes or news unless integrated with external data feeds, which adds complexity.

- ATM: Offers potentially unlimited strategies by allowing users to define triggers based on a wide array of external events. This could include everything from social media trends to specific news events, providing a more dynamic trading environment.

3. Customization and Real-World Integration:

- Traditional Bots: While customizable, they typically focus on technical analysis and blockchain data, which can sometimes lack the context provided by real-world events.

- ATM: Enables users to create strategies that react to real-world conditions or events, like political odds changes on platforms like Polymarket, thereby integrating macroeconomic or societal events into trading decisions.

4. Potential for Profit:

- Traditional Bots: As mentioned, they don't always make money because they operate within the constraints of blockchain data, which can be volatile and subject to manipulation or sudden market shifts not immediately reflected in on-chain data.

- ATM: By coupling on-chain trading with off-chain triggers, it might offer a competitive edge by acting on information that traditional bots might not capture, potentially leading to better decision-making and profitability.

5. Development and Complexity:

- Traditional Bots: Generally easier to implement for basic strategies but might require integration with external APIs for richer data sources.

- ATM: ATM required significant development time and effort, indicating a complex system designed to interface between off-chain data and blockchain transactions seamlessly.

In essence, the ATM's unique selling proposition seems to be its ability to act on a wider array of data sources, potentially offering more nuanced and timely trading strategies than conventional crypto trading bots that are primarily reactive to blockchain data alone. This could indeed allow for innovative trading strategies that incorporate real-world logic into blockchain operations, potentially enhancing the effectiveness of automated trading in cryptocurrencies.

[bostonrob @bostonrob__]

Robbie Threads is back, folks. I haven't done one of these in a while, but when I see the potential in a @solana utility that is this early, I like to lay out some of the critical components that I am seeing after much due diligence on my end.

So let's dive into @OccupyMarsSOL 🧵

https://t.co/59ZHL9wC7R

[trenches.com @trenchesdotcom]

@elonmusk our community will be sending someone to $MARS with you my friend 🤝

[trenches.com @trenchesdotcom]

The $MARS back end sneak peak.

Massive rev share component for the set it and forget it ATM on @solana

[sk1337les.hl @skittlewood]

For comparison, orca is 220m, raydium close to 2b and https://t.co/SldXLRyC2n prints millions to the founders daily.

Once gobbler is integrated with Jupiter, majority of transactions will be routed to the gobbler pools over raydium..

Fomo3d/gobbler distributes 95% of all fees back to token and nft holders.

Pay attention!

[Timon “The OG” (DKS) ²⁰²¹ @timontheog]

Going to say this again.

If you aren't paying attention to what is being built by @FOMO3DdotAPP, you could be missing out on some insane alpha.

Take a few min and dyor.

[Joe McCann @joemccann]

I personally reviewed this audit and whitepaper. The innovations described in the @FOMO3DdotAPP docs could reshape the landscape for AMMs, LPs and DeFi overall.

[Morty @blockcorematt]

@Overdose_AI +88.9%. Not the only thing. 😉

[Morty @blockcorematt]

@investanswers @martypartymusic You’re be adding SHDWDRIVE #SHDW $SHDW to the list next week.

[Hunter Horsley @HHorsley]

Asked someone to explain Aptos to me. They said:

"More scalable than Solana but at the same time almost as decentralized/secure as Ethereum."

Interesting. Remarkable how people keep innovating in this space —

[Token Terminal 📊 @tokenterminal]

ICYMI: monthly unique, fee-paying addresses on @Aptos just surpassed 7 million.