HgemtekS @Hgemtek

@RetardedNi85688 Accumulate more before it takes off ✊💰💎

Solana:EyxoZCcwUkHAcG4TjkA88ubJd8WrY7msU9E4LG4gpump Is literally: A deterministic arbitrage execution engine for Solana liquidity markets and a mathematical execution layer sitting above DeFi venues. And is still sub.... And gn.... $lrnz

Imagine I try to become the ansem for tech projects? Airdrop some $mirari, $kausa, and $lrnz to the trenches at a specific mc? So we cab run up the peak ai szn ourselves bruh lmao. I could actually do it if it makes sense. Lmao. I came go to any length for my bags. 2 of those are sub 30k btw. One is at 200k rn. Millions

Ansem 🐂🀄️ @blknoiz06

6 hours ago

we are going to make crypto cool to normies this time around

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@RetardedNi85688 $LRNZ higher ✈️🌕

@RetardedNi85688 Yes. Get some $LRNZ 💰🚢

I bought into $LRNZ publicly at 7k and ran it up myself to 40k twice. I sold nothing from my bag and in my own stupid conviction I have done more dca than I should lol. There are not many projects building DEFI on solana and definitely not at this scale too. Solana:EyxoZCcwUkHAcG4TjkA88ubJd8WrY7msU9E4LG4gpump I mean who uses human intelligence anymore?. We are entering the phase where AI find opportunities for us. Because i think honestly that humans won't be competing on intelligence but rather they'll compete on verification. The market is obsessed with finding opportunities. Lorenz is becoming obsessed with executing them correctly. Everyone rn can arbitrage but what's your edge? Can you confidently answer with your arbitrage system "Exactly how much capital you should deploy before slippage, fees and price impact erase your edge?" @LorenzProtocolX now computes the trade size that mathematically maximizes net profit, proves the algorithm matches brute force through property tests, then uses that optimizer directly inside the backtester. Thing is alpha isn't scarce anymore. You have systems that can spin up an alpha for in minutes or even seconds but cab they execute it correctly?. Search algorithms, AI agents and scanners can all discover the same arbitrage. The competitive advantage increasingly becomes who can execute it with the least error. Lorenz is slowly becoming an execution engine rather than simply a search engine. Tldr, Don't trust the output, prove it.

LORENZ @LorenzProtocolX

9 hours ago

v0.3.0 is out. We taught Lorenz how big each trade should be. Lorenz now sizes each trade at the exact point where net profit peaks in the model. 🧵

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This was exactly the thesis that I gave you. v0.2.0 is basically an upgrade to $lrnz. @LorenzProtocolX shipped two things: JSON output for its backtester (so results can plug into other tools), and exact-output swap math (calculates exactly how much input is needed for a target output, useful for things like flash-loan repayment) — both fully tested. EyxoZCcwUkHAcG4TjkA88ubJd8WrY7msU9E4LG4gpump

LORENZ @LorenzProtocolX

2 days ago

We coded all night on a Saturday for this update. Two things shipped under v0.2.0 lorenz-backtest speaks JSON now. The full deterministic backtest result comes out as one clean document you can pipe into anything you build. Same numbers you already trust, finally in a shape you

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Engine + orchestrator + flash loan and atomic transaction architecture all open source in our Github by the way.

LORENZ @LorenzProtocolX

3 days ago

Everyone in this space posts screenshots of numbers they made up. Here's the engine itself, live on Solana prices, in a browser, nothing faked. Open it and run it before you believe us: lorenz.fund

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The end state isn't us running a fund while you watch. It's you running your own Lorenz, on your own infrastructure, holding your own keys, with us helping you operate it. You don't rent the edge. You own the machine. That is still ahead of us. But that is the direction.

We're building Lorenz: an AI arbitrage hedge fund you own the keys to. Open-source. Non-custodial. On Solana. The full story, including what doesn't work yet:

LORENZ @LorenzProtocolX

3 days ago

x.com/i/article/2070…

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Changelog: github.com/lorenz-protoco…

v0.3.0 is out. We taught Lorenz how big each trade should be. Lorenz now sizes each trade at the exact point where net profit peaks in the model. 🧵

When i looked at $LRNZ @LorenzProtocolX architecturally and technically it made so much sense to me. $LRNZ seperates execution into two planes: a deterministic data plane (microsecond-scale, zero AI) that models @solana DEXs as a token graph, detects arbitrage via negative-cycle Bellman-Ford, and prices cycles with exact integer AMM math — versus a control plane where an optional LLM tunes parameters but can only tighten limits, never widen them, with every output clamped to hard ceilings and logged append-only. On-chain, a @solana program enforces atomic settlement, a strict profit floor, spend caps, and scoped withdrawal authority as runtime invariants, not promises. Unimplemented paths (flash-loan CPI, swap routing) return explicit errors rather than fake success. I don't think we will see it at these levels for much longer. A strong bounce from here could set us up for a new ath. EyxoZCcwUkHAcG4TjkA88ubJd8WrY7msU9E4LG4gpump

REVENGE ARC (I'M HIM. BIO/ACC) @RetardedNi85688

20 hours ago

I'm glad to see you in $LRNZ 🫡. The interesting part actually is that if you take a look at the github, you can clearly see that work is being put in. v.0.2.0 was just released, and it made quite a lot of sense. Solana:EyxoZCcwUkHAcG4TjkA88ubJd8WrY7msU9E4LG4gpump The runnable

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Why does a big trade get a worse price? Open the AMM playground, push the input size up, and watch slippage eat the output. The same constant-product math the chain settles. No approximations. lorenz.fund/playground

I'm glad to see you in $LRNZ 🫡. The interesting part actually is that if you take a look at the github, you can clearly see that work is being put in. v.0.2.0 was just released, and it made quite a lot of sense. Solana:EyxoZCcwUkHAcG4TjkA88ubJd8WrY7msU9E4LG4gpump The runnable backtest binary now has a jason flag, so its results can actually feed into other tools instead of just printing to a terminal for a human to read. Then, they also shipped an exact output math. The AMM previously in our thesis could only answer the question, if I put in x, how much do I get out?. Now it answers a more precise question. How much do I need to put in to get that outcome exactly out?. That's really necessary for math, especially for scenarios like repaying a flash loan to the exact unit. It goes live soon but now without proper audits to avoid an inconvenience. I'm bullish on these guys and in talks with the dev. Hopefully, this wins it for us. GitHub to see everything yourself: github.com/lorenz-protoco…

Alpha Seeker @AlphaSeeker21

a day ago

Most arbitrage bots sell fake PnLs and backtest screenshots. $LRNZ @LorenzProtocolX is taking a completely different approach. Instead of chasing one DEX at a time, @LorenzProtocolX scans the entire Solana liquidity graph as one market. It builds a deterministic snapshot of

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Most arbitrage bots sell fake PnLs and backtest screenshots. $LRNZ @LorenzProtocolX is taking a completely different approach. Instead of chasing one DEX at a time, @LorenzProtocolX scans the entire Solana liquidity graph as one market. It builds a deterministic snapshot of every pool, route, and token, then searches for profitable arbitrage cycles across the network. Once it finds an opportunity, it sizes the trade with flash loans and factors in: • Swap fees • Slippage • Priority fees • Jito tips • Flash loan costs If the trade isn’t profitable after all costs, the transaction simply reverts. No open positions. No market exposure. No idle capital. What I also like is the architecture. The AI isn’t allowed to execute trades directly. It only suggests tighter risk parameters while the deterministic execution engine and on-chain program enforce hard safety rules. Even more refreshing: ✅ Open source ✅ Non-custodial ✅ No fake ROI claims ✅ No “trust us” marketing This feels less like another AI trading bot and more like infrastructure for autonomous finance on Solana. MC: $32k CA: EyxoZCcwUkHAcG4TjkA88ubJd8WrY7msU9E4LG4gpump

LORENZ @LorenzProtocolX

3 days ago

We're building Lorenz: an AI arbitrage hedge fund you own the keys to. Open-source. Non-custodial. On Solana. The full story, including what doesn't work yet:

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Clear version of what $LRNZ does: it funds development, research, the audit, and our own deployment, and it will gate priority access to the enterprise version for top holders.

We just made a Telegram community for $LRNZ holders! Join and ask your questions 👇 t.me/LorenzPortal

Plus a new "Discrepancy report" issue template and an "adding a seam honestly" guide for contributors.