@eyezenhour Watching closely for $ASTER to reclaim hypertrend + POC
English
₿itcody 📈
7.9K posts
₿itcody 📈
@bitcodyy
Founder. Dev. Strategist. Ops Director @zeroomega_ Turning onchain data, content, and code into edge. $BTC - DeFi - Infra - Macro
United States Katılım Ekim 2021
674 Takip Edilen3.5K Takipçiler
$ASTER vs $HYPE TA coming soon...
$ASTER is now pushing into flag resistance + 9 MA. This is the first real test since the breakout
Still sitting just under the key zone POC (~$0.70)
Reclaim the POC and hold → expansion likely follows
Reject here → back into chop or deeper retest
Structure is built, now it needs confirmation
With the overall market so week, I can sadly see more bleeding before things get better
Dropped the full alpha here ⤵️
t.me/eyezenhouralpha
eye zen hour 🥶@eyezenhour
$ASTER Flagging ⤵️ ➭ Post downtrend breakout, now compressing hard ➭ Price $0.66 is below HyperTrend ($0.68) & POC ($0.70) ➭ Still below Genesis AVWAP (~$1.17) Reclaim $0.68–$0.70 = expansion trigger Rejection = rotation lower / breakout retest Structure near decision point One other thing… don’t fade @cz_binance More in-depth notes here: t.me/eyezenhouralpha
English
@zeroomega_ Big. Being able to keep your data local while owning your own infrastructure and having no dependency on external providers is what sold me.
English
Google Just Pushed Open Models Forward Again
Gemma 4 is not just any model release.
It's a shift in where intelligence can run.
➤ Open weights under Apache 2.0
➤ Designed for local and sovereign deployments
➤ Built for reasoning and agent workflows
The key change is distribution.
Frontier level capabilities are no longer confined to closed APIs.
They are moving directly onto hardware you control.
That matters for two reasons.
1. Control
→ data stays local
→ infrastructure is owned
→ no dependency on external providers
2. Scale
Open models expand faster than closed systems.
More developers
More experimentation
More iteration at the edge
This is how capabilities propagate.
From centralized labs → to global developer networks.
The deeper implication is structural.
AI is splitting into two layers:
➤ Closed models competing at the frontier
➤ Open models competing on distribution and integration
And over time, distribution tends to win.
Because the model that runs everywhere becomes the default layer intelligence is built on.
Google@Google
We just released Gemma 4 — our most intelligent open models to date. Built from the same world-class research as Gemini 3, Gemma 4 brings breakthrough intelligence directly to your own hardware for advanced reasoning and agentic workflows. Released under a commercially permissive Apache 2.0 license so anyone can build powerful AI tools. 🧵↓
English
@CastilloTrading Yup. Wealth preservation is key during mid term years.
English
Coming to the sad realization that I think many crypto Twitter/X accounts have completely blown up recently.
Many lost everything over the course of the last year or so. This cycle really did change everything, it wasn't like previous ones and I think many players were taken out that have been around since 2017 or earlier.
We wanted clarity on crypto from the government, but with that clarity came catastrophic losses. Almost like a "be careful what you wish for" type of moment.
Is there a light at the end of the tunnel? I think so. But when does that happen? No idea, could be a lot longer than most are willing to wait for.
The key is survival.
Castillo Trading@CastilloTrading
Just went through my Following list on X. It's wild to see so many people I used to respect and look up to just no longer active on X or posting. Makes me wonder one of two things; 1) Did they make life changing money and sail into the sunset? or 2) Have they lost it all?
English
@Cointelegraph Yes it is 🤝🏼
zero Ω@zeroomega_
$SUI just expanded its surface area. Now live on Solana via Sunrise. ➤ SUI assets now accessible within Solana DeFi ➤ Cross-chain capital becomes more fluid ➤ Barriers between ecosystems continue to compress The trend is clear. Chains are no longer competing in isolation. They are becoming interconnected liquidity layers. And in that environment, value accrues to assets that can move seamlessly across them.
English
🔥 UPDATE: $SUI from is now live on Solana, allowing users to trade $SUI against Solana assets.
English
@IncomeSharks @dhookstead This exactly. Most of the general public is lost in the dark right now with what’s going on in the world.
English
@dhookstead I think we forget that most of the public has no idea what's going on. If you are on X you probably do
English
I’m genuinely confused why Trump gave that speech.
Nothing new was announced.
English
04/01/2026
BTC stacked: ₿0.00044077 (~$30)
BTC owned: ₿0.21379855
Markets held up pretty well today.
Spent most of the day paying bills — first day of month always feels like that.
Still stacking sats.
No one knows the bottom, but consistency matters more than timing.
Slowly. Quietly. Inevitably.
#Bitcoin #BTC #StackingSats #DCA #HODL
GIF
StageZero@stagezeroX
03/31/2026 BTC stacked: ₿0.000148 (~$10) BTC owned: ₿0.21335778 Stocks surged today as hopes rise that the Middle East conflict is nearing an end. Still stacking sats. No one knows the bottom, but in uncertain times, Bitcoin’s case only gets stronger. Slowly. Quietly. Inevitably. #Bitcoin #BTC #StackingSats #DCA #HODL
English
$SUI just expanded its surface area.
Now live on Solana via Sunrise.
➤ SUI assets now accessible within Solana DeFi
➤ Cross-chain capital becomes more fluid
➤ Barriers between ecosystems continue to compress
The trend is clear.
Chains are no longer competing in isolation.
They are becoming interconnected liquidity layers.
And in that environment, value accrues to assets that can move seamlessly across them.
Solana@solana
BREAKING: $SUI from @SuiNetwork is now live on Solana via @Sunrise_DeFi
English
$BTC Heatmap Showing Fragility ⛓️💥
> Price within new cost basis ($60K–$70K)
> Clustering below price remains thin which could lead to another sweep downwards
> Weak follow-through on bounces due to lack of market clarity and likely global tensions (risk off)
> Structural support lacks density but 300W MA is intact for now
If range fails, positioning flips and liquidity shifts lower
Keep an eye on the 300W MA (~$57K) which remains as the key HTF reference
Giving more of an in-depth breakdown here⤵️
t.me/eyezenhouralpha
Still very early and whether we go up or down, please keep in mind the best strategy to win is not trying to tick the pico bottom for Bitcoin
DCA to win
eye zen hour 🥶@eyezenhour
gm to everyone who realizes how early we are 🎯
English
Thin support below price on $BTC.
Weak conviction in the onchain.
If this range breaks, liquidity gets hunted fast.
My bet is the 300W MA comes into play sooner than most expect.
zero Ω@zeroomega_
Bitcoin Is Starting To Lose Structure Again Key support zones are getting tested with weakening follow-through. ➤ $BTC trading near $66.7K ➤ Sitting inside new buyer cost basis range ($60K–$70K) ➤ Below this range opens a structural shift in positioning Onchain data shows accumulation here, but the profile is thinner than prior cycles. Thin clusters tend to fail faster under pressure. From a higher timeframe perspective: → 300W MA sits near $57.2K → Historically a major support zone across cycles If current demand fails to hold, that becomes the next logical magnet. The setup is not about immediate breakdown. It is about fragile support meeting weakening structure. When both align, downside tends to accelerate into deeper liquidity zones.
English
Bitcoin Is Starting To Lose Structure Again
Key support zones are getting tested with weakening follow-through.
➤ $BTC trading near $66.7K
➤ Sitting inside new buyer cost basis range ($60K–$70K)
➤ Below this range opens a structural shift in positioning
Onchain data shows accumulation here, but the profile is thinner than prior cycles.
Thin clusters tend to fail faster under pressure.
From a higher timeframe perspective:
→ 300W MA sits near $57.2K
→ Historically a major support zone across cycles
If current demand fails to hold, that becomes the next logical magnet.
The setup is not about immediate breakdown.
It is about fragile support meeting weakening structure.
When both align, downside tends to accelerate into deeper liquidity zones.
English
@zeroomega_ Nice. This is going to make getting into a new home very easy for lots of younger new home buyers.
English
Crypto Just Entered The U.S. Housing Market
Fannie Mae, backing ~$4T in mortgages, is now allowing crypto-backed home loans.
➤ $BTC and $USDC can be pledged as collateral
➤ No need to liquidate crypto holdings
➤ Mortgage terms remain standard
➤ Liquidation only triggered after extended default
For the first time, digital assets are being integrated into real estate credit markets.
That matters because housing is one of the largest pools of capital in the global economy.
→ crypto becomes productive collateral
→ long-term holders avoid taxable events
→ capital efficiency increases across portfolios
Historically, crypto sat outside traditional finance. Now it is being pulled into core financial infrastructure.
The deeper shift is collateral recognition.
Once an asset is accepted in lending markets, it transitions from speculation to financial primitive.
This is how integration happens.
Through collateral frameworks that allow capital to move between systems.
And once that bridge is built, it tends to expand.
Coinbase 🛡️@coinbase
Get your house and keep your crypto. Crypto-backed mortgages are here - increasing access to homeownership for millions of Americans. Buy a home without converting your portfolio by using BTC or USDC as collateral for your down payment. Offered by Better, powered by Coinbase.
English
$BTC has been sitting around ~$70.5K since early February.
Half the timeline says lower.
The other half says higher.
That's usually what range conditions look like.
Meanwhile:
- War headlines
- Morgan Stanley spot ETF received official listing notification from NYSE
- Coinbase rejects Senate CLARITY Act stablecoin compromise
And Bitcoin is just... holding.
Structure:
- Above Hypertrend (no full confirmation yet)
- Above 21 MA
- Below 50 / 100 / 200 MA
- Sitting above local POC
Momentum:
- Low volume
- Weak follow through
- StochastiX mid-range = chop
Translation?
No urgency, panic, or expansion yet. Just compression.
The next high volume node sits just above the 200 MA.
Break above the 50 MA with volume and the 100 comes into play. Then the 200. Then the next volume node.
Reject and the range continues, or downside rotation to the next leg lower.
Right now, price is just chopping up the impatient.
When Bitcoin sits still during chaos, you should probably pay attention.
English
Google Just Attacked One Of The Biggest Bottlenecks In AI
Memory
Their new compression method, TurboQuant, changes the economics of running large models.
➤ ~6x reduction in KV-cache memory
➤ Up to ~8x speed improvement
➤ Zero accuracy loss
That combination is rare.
Most optimizations force a tradeoff between speed, cost, and performance.
This removes it.
The key insight is where the constraint actually sits.
Training gets the attention.
Inference carries the cost.
Every time a model runs, it relies on the KV cache, a memory layer that stores context so the model can “think” efficiently.
That cache becomes a bottleneck at scale.
→ more context = more memory
→ more memory = higher cost
→ higher cost = slower adoption
TurboQuant compresses that layer without degrading output.
The implications are structural.
➤ Larger context windows without exponential cost
➤ Faster inference across production systems
➤ Lower compute requirements per query
➤ More efficient vector search at scale
This is an infrastructure unlock.
As compression improves, the constraint shifts again.
From compute → to distribution
From hardware → to application layer
The pattern is consistent.
Every efficiency gain expands the surface area of AI adoption.
And when constraints fall, usage compounds.
Google Research@GoogleResearch
Introducing TurboQuant: Our new compression algorithm that reduces LLM key-value cache memory by at least 6x and delivers up to 8x speedup, all with zero accuracy loss, redefining AI efficiency. Read the blog to learn how it achieves these results: goo.gle/4bsq2qI
English
Altcoin Shopping Season 🛍️
~38% of alts sit at or near ATL
Worse than post-FTX levels
Late-stage capitulation conditions:
• Capital rotating
• Weak liquidity clearing
• Positioning reset
Historically, these clusters form during structural bottoms, where asymmetry begins to reprice
Remember: DCA to win long term
Full breakdown on what I'm seeing and my top alts for the next run-up here ⤵️
t.me/eyezenhouralpha
English
MoonPay just standardized something the agent economy was missing.
The wallet layer.
Open Wallet Standard (OWS) is the infrastructure that allows AI agents to actually hold and use capital.
Until now, every agent system had the same flaw.
➤ Keys stored in .env files
➤ Fragmented wallet implementations across chains
➤ No shared interface for signing or storage
That does not scale to autonomous systems.
OWS from @moonpay changes that.
➤ One encrypted vault
➤ One interface across chains
➤ Local-first signing with no key exposure
➤ Designed specifically for agent execution environments
This sits directly beneath emerging payment rails.
→ x402
→ MPP
→ agent-to-agent transactions
Those define how agents pay.
OWS defines where the capital lives and how it is secured.
That distinction matters.
Because without a standardized wallet layer, there is no consistent way for agents to operate economically.
The deeper shift is architectural.
AI agents are moving:
➤ From cloud → local / VPS
➤ From stateless → persistent
➤ From tools → economic actors
In that environment, latency, custody, and interoperability become constraints.
Local-first wallets solve all three.
This is the foundation for machine-native finance.
Agents that can hold assets, sign transactions, and interact across chains without human involvement.
The stack is forming in real time:
→ intelligence
→ coordination
→ payments
→ custody
OWS fills the last gap.
And once agents can securely control capital, they stop being tools.
They become participants in the economy.
MoonPay 🟣@moonpay
English
Saylor just dropped a $42B Bitcoin buying plan. $21B $STRC ATM + $21B $MSTR ATM. While gold dumps 10% in a single week. The trade is becoming obvious.
Michael Saylor@saylor
Strategy announces new $21 Billion $STRC ATM Program and new $21 Billion $MSTR ATM Program. strategy.com/press/strategy…
English