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You will only ever get one more chance to earn bitcoin gains again, and that trade is going to be $ZEC ZCash at $333 dollars.
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Bitcoin Blaize
4.5K posts
Bitcoin Blaize
@etherblaize
NYC, prediction markets investor | former @metastreetxyz | former @ether_fi | renaissance man | Art Collector | Fun Guy
เข้าร่วม Haziran 2017
1.3K กำลังติดตาม1.9K ผู้ติดตาม
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I'm very bullish on EtherFi along with DCF God here and haven't sold a single token from our fund over the last two years.
We expect this one to be a multi-year, multi-bagger for us and the growth is something we are willing to wait and be patient for.
We didn't come this far to sell here, were taking over American Express and building it onchain.
Neo finance.
DCF GOD@dcfgod
✅Etherfi buybacks are back on (no clue why they were off for a few days) ✅ Final investor vest sent out. No more VC overhang. ✅ Daily spend at ATH using cards ($2.5M/d) ✅ Staking TVL back above $6b ✅ Upbit listing yesterday ✅ Adding ~300 new cards a day ✅ CAC going down, ARPU going up, Payback period compressing sallygazzy mode note: dcf cap seeded ethfi
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If your answer isn’t Oppenheimer then you simply don’t know ball
TylerCWhitmore@TylerCWhitmore
If the last 10 Best Picture winners were all nominated in the same year, who would get your vote?
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@scotthraines Genuinely curious question. As someone who likes to read, but does not have a literary degree, and works full time in another industry, what’s the best way to approach developing a background in the greats to better understand McCarthy?
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Cormac McCarthy is a good metric for how well you can read—it’s not the faux literary fluff that gets praised today, but it’s also not readily apparent to the reader. So much is said in what is unsaid, so you have to really read. For example:
Christopher F. Rufo ⚔️@christopherrufo
I read the first hundred pages of The Road last year, and read the first hundred pages of Blood Meridian this year, and in both instances, gave up, because the books never clicked. Lyrical writing, but the characters are reduced to way down Maslow's hierarchy, and the tone is so relentlessly bleak, with almost no humanity breaking through, it was difficult to feel anything besides the flint clicking against the cold steel in the overwhelming darkness. I know many of you love it, but to me, it's overwrought, overstylized, and overhyped.
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@mininghelium1 Just sent it now, you’re right I hadn’t sent it my bad
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Might I add on how I am building with Yunus's Framework
. The strategy breakdown
▎ The strategy: single-sided bid-ask below the active bin. SOL sits in a wedge — as price drops through your range, you buy the token bin by bin. You earn fees from sell pressure
without ever holding the bag upfront.
The learning angle
▎ Most LP bots are static rules. This one learns. Every closed position generates a lesson. Every lesson gets deduplicated, tagged, and injected into the next decision. After 50+ trades
it evolved its own screening thresholds.
The memory flex
▎ Gave the agent holographic memory (HRR vectors). It recalls past pool outcomes, strategy effectiveness, and volatility patterns across sessions. Facts that keep getting recalled
promote themselves to permanent context. It literally remembers what worked.
The screening pipeline
▎ Before deploying a single lamport it: screens fee/TVL ratios, checks organic score, analyzes holder distribution, detects bundlers, reads the token narrative, studies top LPers on LP
Agent, and checks if any tracked smart wallets are in the pool.
The management loop
▎ Every 3-10 minutes (auto-scaled by volatility) the manager agent checks every open position: PnL, fees, range status, pool health. Trailing take profit, stop loss, and OOR rules
enforced automatically. It claims fees and swaps dust back to SOL on close.
7The data stack
▎ Data stack: Meteora DLMM SDK for on-chain, Helius RPC for Solana, Jupiter for swaps + token intel, LP Agent API for top LPer analysis, Meteora datapi for real-time PnL. Two DeepSeek
models — reasoner for screening, chat for management.
The dashboard
▎ Built a real-time dashboard with position cards showing bin liquidity charts (blue = SOL, purple = token), LP performance from LP Agent API, candidate pool rankings, and a chat
interface that queues messages while the agent works.
The safety angle
▎ Safety first: cycles never overlap (management blocks screening and vice versa), PnL snapshots happen before closing (not after when data is gone), positions you open manually get
auto-adopted with full management. Dry run mode for testing.
The numbers
▎ 57 positions across 19 pools. +$68 PnL, $143 in fees captured, 0.82 SOL net. Average hold: 53 minutes. All autonomous — the only thing I do is watch the dashboard and occasionally
chat with it.
yunus@0xyunss
yang paling mindblowing dari agent ini adalah dia ga butuh model yang flagship buat running. gua pake model murah banget dari @OpenRouter selama gua make kira kira 4 hari cuma abis segini doang, itupun cuma training awal. dengan return perhari bisa 5-20$ dengan capital 1 sol, ini tuh udah oke banget, cuma ya ngga bisa dibilang pasif income karena ai juga bisa salah. jadi gua riset beberapa model free yang oke dan paling efisien buat manage ini. pake minimax m2.5 buat train. inception/mercury-2 buat mode degen. oh ya ini bukan pake openclaw ya karena gua pernah coba build di openclaw, akan kacau memorynya, jadi gua build dari scratch agent loop dan fundamentalnya. jadi agent ini emang fokus ke dlmm aja. lainnya model gratisan, bisa tebak model apa yang gua pake?
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@mininghelium1 You prob have to accept my friend request. My discord is alphablaize
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@mininghelium1 This is dope dude I don’t have the learning or memory part in mine. You’re doing some really cool stuff on this app. Keep it up 👏
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@FilmUpdates I love mcdonagh but does this seem a little derivative of his other movies and corny?
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The official trailer for Martin McDonagh’s ‘WILD HORSE NINE’ has been released.
Starring John Malkovich, Sam Rockwell, Steve Buscemi, Mariana di Girólamo, Ailín Salas, Tom Waits and Parker Posey.
In theaters this fall.
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I’m 60 years old and resigned from BlackRock. My annual income is 2 million US dollars.
My March advice:
$TSLA (Tesla) — Buy
$SNDK (SanDisk) — Strong Buy
$NBIS (NEBIUS) — Strong Buy
$BABA (Alibaba) — Buy
$Meta (Meta Platforms) — Buy
$ONDS (Ondas) — Strong Buy
$EOSE (Eos Energy) — Don’t buy
$LCID (Lucid) — Don’t buy
$BYND (Beyond Meat) — Don’t buy
People ask, “Why don’t you charge?”
I’ve made enough. Sharing is my passion — that’s why I post for free.
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@bitfloorsghost You don’t need a crypto tax co, just any accountant
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I want to move away from the crypto tax software I’ve used every year because it sucks, but I don’t want to pay hundreds of dollars just to see if another software performs better
I’d pay for it if I could be sure it actually was, but most of these require payments just to begin uploading all your transactions without a limit
Do any crypto tax companies here actually let you give it a trial run before committing or are they all designed to take your money before you realize you wasted it?
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@gregoryblotnick Long has unlimited upside, short is capped. That’s the skew
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rule that took me too long to internalize
in baseball, tie goes to the runner…in markets, tie ALWAYS goes to the bulls.
when ur lost, stay long or get long - “markets dont need a reason to rally” - in any tape, u can walk in Mon AM and catch 250 SPX handles straight up by Fri.
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“The moat in creative software used to be the user interface. A heavy, complex workspace locked users in for years. Today, AI coding tools allow a small team to rebuild those interfaces in a matter of weeks. The interface is now a commodity”
Zeev Farbman@ZeevFarbman
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@blknoiz06 @wapital3 Facts are we talking Molly or dmt, vastly diff vibes
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I wonder if she likes younger dudes who have no money
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