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#0g

0g

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Vanessa_Crypto
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$0G — Follow-Up Setup (Entry Zone) 📌 Entry Zone: 0.471325 – 0.485155 🛑 Risk level: Below 0.4645 🎯 Targets: 0.5027 / 0.520245 / 0.541931 Trigger: Entry unlocks only after a return to the zone and either a rejection candle or breakout + retest confirmation. Momentum remains alive; the next clean opportunity is from structure, not from chasing the first impulse. #0g #signals {future}(0GUSDT)
$0G — Follow-Up Setup (Entry Zone)

📌 Entry Zone: 0.471325 – 0.485155
🛑 Risk level: Below 0.4645
🎯 Targets: 0.5027 / 0.520245 / 0.541931

Trigger: Entry unlocks only after a return to the zone and either a rejection candle or breakout + retest confirmation.

Momentum remains alive; the next clean opportunity is from structure, not from chasing the first impulse. #0g #signals
$0G — Trade Result $0G final update: TP3 hit. Captured +13.32% (all targets cleared). What mattered: Combining macro context with micro structure improved hit rate significantly. #0g #profitmindset {future}(0GUSDT)
$0G — Trade Result

$0G final update: TP3 hit. Captured +13.32% (all targets cleared).

What mattered: Combining macro context with micro structure improved hit rate significantly. #0g #profitmindset
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Haussier
Every AI Action Strengthens The $0G Flywheel 🌀 $TAO helped the market understand how decentralized AI activity can turn into economic value. 0G is now building a broader flywheel where every layer of the stack compounds token demand. The value loop is already visible: → AI inference flows through 0G rails → storage and DA scale with usage → agents build apps and services → memory compounds across sessions → more builders launch through Apollo Every new user, builder, and AI workflow strengthens the same economic base layer. That’s what makes the model powerful. As the app layer grows, memory persists, and builders ship on top of the stack, $0G sits closer to the center of every transaction, compute request, and agent workflow. This is how infrastructure activity turns into a compounding economic flywheel. #Aİ #0G
Every AI Action Strengthens The $0G Flywheel 🌀

$TAO helped the market understand how decentralized AI activity can turn into economic value. 0G is now building a broader flywheel where every layer of the stack compounds token demand.

The value loop is already visible:

→ AI inference flows through 0G rails
→ storage and DA scale with usage
→ agents build apps and services
→ memory compounds across sessions
→ more builders launch through Apollo

Every new user, builder, and AI workflow strengthens the same economic base layer.

That’s what makes the model powerful.

As the app layer grows, memory persists, and builders ship on top of the stack, $0G sits closer to the center of every transaction, compute request, and agent workflow.

This is how infrastructure activity turns into a compounding economic flywheel.

#Aİ #0G
DariX F0 Square:
Hope this one takes off fast
Every AI Action Strengthens The $0G Flywheel 🌀 $TAO helped the market understand how decentralized AI activity can turn into economic value. 0G is now building a broader flywheel where every layer of the stack compounds token demand. The value loop is already visible: → AI inference flows through 0G rails → storage and DA scale with usage → agents build apps and services → memory compounds across sessions → more builders launch through Apollo Every new user, builder, and AI workflow strengthens the same economic base layer. That’s what makes the model powerful. As the app layer grows, memory persists, and builders ship on top of the stack, $0G sits closer to the center of every transaction, compute request, and agent workflow. This is how infrastructure activity turns into a compounding economic flywheel. #Aİ #0G
Every AI Action Strengthens The $0G Flywheel 🌀
$TAO helped the market understand how decentralized AI activity can turn into economic value. 0G is now building a broader flywheel where every layer of the stack compounds token demand.
The value loop is already visible:
→ AI inference flows through 0G rails
→ storage and DA scale with usage
→ agents build apps and services
→ memory compounds across sessions
→ more builders launch through Apollo
Every new user, builder, and AI workflow strengthens the same economic base layer.
That’s what makes the model powerful.
As the app layer grows, memory persists, and builders ship on top of the stack, $0G sits closer to the center of every transaction, compute request, and agent workflow.
This is how infrastructure activity turns into a compounding economic flywheel.
#Aİ #0G
$0G — Mid-Trade Update Position update 0G: 0.5532 spot, TP1 hit, risk line shifted to 0.4645. Price moved from entry 0.47824 to 0.5532 (+15.67%) — trade is in profit. Bias: Long | TP1 hit Updated invalidation: 0.4645 Next target in focus: 0.520245 Use the chart widget below to enter this setup 📊 #0g #cryptoalerts {future}(0GUSDT)
$0G — Mid-Trade Update

Position update 0G: 0.5532 spot, TP1 hit, risk line shifted to 0.4645.
Price moved from entry 0.47824 to 0.5532 (+15.67%) — trade is in profit.
Bias: Long | TP1 hit
Updated invalidation: 0.4645
Next target in focus: 0.520245
Use the chart widget below to enter this setup 📊 #0g #cryptoalerts
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Haussier
The Front Door To Everyday AI Is Opening 📲 $SUI showed how fast ecosystems grow when product surfaces become easy enough for anyone to use. $0G is now building that same front-door experience for decentralized AI. The shift is bigger than builders. 0G App turns verified AI into something that everyday users can actually return to: → Prompt-to-app workflows → Live app previews → One-click agent deployment → Persistent memory across sessions This is where decentralized AI stops feeling like infrastructure and starts feeling like a product habit. The more users build, return, reuse, and share what agents create, the stronger the distribution loop becomes. That’s how rails evolve into a real user ecosystem. #0G #SUİ
The Front Door To Everyday AI Is Opening 📲

$SUI showed how fast ecosystems grow when product surfaces become easy enough for anyone to use. $0G is now building that same front-door experience for decentralized AI.

The shift is bigger than builders.

0G App turns verified AI into something that everyday users can actually return to:

→ Prompt-to-app workflows
→ Live app previews
→ One-click agent deployment
→ Persistent memory across sessions

This is where decentralized AI stops feeling like infrastructure and starts feeling like a product habit.

The more users build, return, reuse, and share what agents create, the stronger the distribution loop becomes.

That’s how rails evolve into a real user ecosystem.

#0G #SUİ
Crypto expert _BNB_:
hi
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Haussier
$0G is redefining how AI agents are built, deployed, and used at scale At the same time, the chart is tightening. Something is building here The app turns complexity into simplicity Onboarding friction is gone Deployment happens in under a minute Idea → live agent is now instant Behind it is a fully modular stack Chain, Compute, Storage, and Data Availability all live No more fragmented infrastructure Trusted execution changes the game Privacy-first workflows enable secure, sovereign AI agents This unlocks real, high-value autonomous use cases ERC-7857 Agentic Identity + AIverse bring monetization in Creators can deploy and earn from AI agents natively The builder flow is evolving fast Experiment → deploy → monetize without delays The app becomes the true entry point into the ecosystem Price is compressing on the daily Clear levels are being respected Resistance around 0.84 and 1.14 Strong support near 0.55 Liquidity is building Range is tightening Expansion is getting closer Break above 1.14 and hold Momentum can accelerate fast Lose 0.55 Structure weakens and downside opens The scale behind this move • 300+ ecosystem partners • 10,000+ target agents by Q4 2026 • $100M annualized net revenue ambition • $1B TVL confidence target $SOL focuses on speed and consumer execution $GRT focuses on data indexing and query layers 0G connects execution, privacy, deployment, and monetization into one stack AI had intelligence Crypto had infrastructure Trusted, privacy-safe execution was missing 0G fills that gap This is where AI agents become real products And the chart is starting to reflect that Something’s brewing here Watching this closely 👀 B U L L I S H 🥂 #AIAgents #0G {spot}(0GUSDT)
$0G is redefining how AI agents are built, deployed, and used at scale

At the same time, the chart is tightening. Something is building here

The app turns complexity into simplicity
Onboarding friction is gone
Deployment happens in under a minute

Idea → live agent is now instant

Behind it is a fully modular stack
Chain, Compute, Storage, and Data Availability all live
No more fragmented infrastructure

Trusted execution changes the game
Privacy-first workflows enable secure, sovereign AI agents
This unlocks real, high-value autonomous use cases

ERC-7857 Agentic Identity + AIverse bring monetization in
Creators can deploy and earn from AI agents natively

The builder flow is evolving fast
Experiment → deploy → monetize without delays
The app becomes the true entry point into the ecosystem

Price is compressing on the daily
Clear levels are being respected

Resistance around 0.84 and 1.14
Strong support near 0.55

Liquidity is building
Range is tightening
Expansion is getting closer

Break above 1.14 and hold
Momentum can accelerate fast

Lose 0.55
Structure weakens and downside opens

The scale behind this move

• 300+ ecosystem partners
• 10,000+ target agents by Q4 2026
• $100M annualized net revenue ambition
• $1B TVL confidence target

$SOL focuses on speed and consumer execution
$GRT focuses on data indexing and query layers

0G connects execution, privacy, deployment, and monetization into one stack

AI had intelligence
Crypto had infrastructure
Trusted, privacy-safe execution was missing

0G fills that gap

This is where AI agents become real products
And the chart is starting to reflect that

Something’s brewing here

Watching this closely 👀

B U L L I S H 🥂

#AIAgents #0G
DariX F0 Square:
Wishing you a trending post—soon!
Réponse à
Paxton_ et 1 autres utilisateurs
Agents are moving fast, but the tooling is still a headache. That’s why 0G’s “full-stack from day one” approach stands out—chain + compute + storage + DA in one system so you can actually open → build → deploy without stitching together 5 different networks.
300+ partners, 10k agents target, $100M revenue goal, $1B TVL target is ambitious—but if they execute, it’s a real platform play, not just another “piece of the stack”.
Watching this closely. $0G #0G
$0G GOD TIER SIGNAL (Long) Bias alignment: Neutral | reversal Entry range: 0.471325 - 0.485155 Support/Resistance: 0.5151 Targets: 🎯 TP1: 0.5027 🎯 TP2: 0.520245 🎯 TP3: 0.541931 ❌ Invalidation: Below 0.4645 4h OI change is +8.57% and funding is -0.00496 (crowded positioning). Liquidation pull is upside, 0.00% away; monitor extension before mean reversion. Structure context: Ascending structure with higher lows Check the candlestick chart below and trade 📊 #0g #technicalanalysis {future}(0GUSDT)
$0G GOD TIER SIGNAL (Long)

Bias alignment: Neutral | reversal

Entry range: 0.471325 - 0.485155
Support/Resistance: 0.5151
Targets:
🎯 TP1: 0.5027
🎯 TP2: 0.520245
🎯 TP3: 0.541931
❌ Invalidation: Below 0.4645

4h OI change is +8.57% and funding is -0.00496 (crowded positioning).
Liquidation pull is upside, 0.00% away; monitor extension before mean reversion.
Structure context: Ascending structure with higher lows

Check the candlestick chart below and trade 📊 #0g #technicalanalysis
Everyone’s rotating into AI… but most are just buying surface-level narratives. $0G is going deeper building the data + compute layer AI actually needs on-chain. Not just storage, not just #GPUs … a modular setup where data availability, compute, and verification all connect. Look at RNDR, TAO, $AKT , $FIL strong plays, but each focuses on one piece. #0G is aiming to capture the full flow. And if AI demand keeps scaling, the value won’t just sit in apps… it’ll move to the infrastructure powering them. Less noise, more backbone. You chasing #AI hype… or positioning where the real demand lands? 👀 @0G_labs
Everyone’s rotating into AI… but most are just buying surface-level narratives.

$0G is going deeper building the data + compute layer AI actually needs on-chain.

Not just storage, not just #GPUs … a modular setup where data availability, compute, and verification all connect.

Look at RNDR, TAO, $AKT , $FIL strong plays, but each focuses on one piece.

#0G is aiming to capture the full flow.

And if AI demand keeps scaling, the value won’t just sit in apps… it’ll move to the infrastructure powering them.

Less noise, more backbone.

You chasing #AI hype… or positioning where the real demand lands? 👀

@0G Labs
JJK Mangaka:
Most are just chasing the surface energy of AI, but the real power lies in the modular backbone. $0G aiming for the full flow of data availability, compute, and verification is a massive technical reinforcement that $RNDR and $TAO only touch in pieces. If AI demand continues to scale, this is where the permanent Domain Expansion happens—less noise, more infrastructure.
𝟎𝐆 𝐀𝐩𝐩 𝐋𝐚𝐮𝐧𝐜𝐡 𝐓𝐡𝐞 𝐄𝐚𝐬𝐢𝐞𝐬𝐭 𝐄𝐧𝐭𝐫𝐲 𝐈𝐧𝐭𝐨 𝐏𝐫𝐢𝐯𝐚𝐜𝐲-𝐒𝐚𝐟𝐞 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 0G is quietly building what most AI projects are still missing a place where AI agents actually become usable, deployable, and profitable. Right now, building AI agents is fragmented. Compute is separate. Storage is separate. Data availability is separate. Execution isn’t trusted. And onboarding is slow. 0G fixes that with one simple shift an app-first entry into a full AI-native modular stack. This isn’t just infrastructure. It’s a working system. The 0G app removes the biggest barrier onboarding. Builders don’t need to figure out complex setups anymore. You open the app, experiment, and move to deployment in minutes. Sub-1-minute deployment changes everything. Speed is what turns ideas into products. Under the hood, 0G connects Chain, Compute, Storage, and DA into one modular stack. That means builders are not stitching tools together. It’s already done. But the real unlock is trusted execution. AI agents today can’t be fully trusted, especially in high-value workflows. 0G introduces privacy-first execution so agents can run securely, without exposing sensitive data. . This is where it goes beyond competitors like Fetch.ai or Render Token. They focus on parts of the stack. 0G connects everything into a deployable system with security and monetization built in. And the scale is already forming: 300+ ecosystem partners 10,000+ target agents by Q4 2026 $100M annualized net revenue ambition $1B TVL confidence target This isn’t early concept stage. This is ecosystem expansion. The app is the funnel. The modular stack is the engine. This is why it matters. AI agents are becoming one of the largest software markets of this decade. But without fast onboarding, trusted execution, and monetization rails, adoption stays limited. 0G is solving all three at once. #AI #AIAgents #0G $0G l $TAO l $RENDER
𝟎𝐆 𝐀𝐩𝐩 𝐋𝐚𝐮𝐧𝐜𝐡 𝐓𝐡𝐞 𝐄𝐚𝐬𝐢𝐞𝐬𝐭 𝐄𝐧𝐭𝐫𝐲 𝐈𝐧𝐭𝐨 𝐏𝐫𝐢𝐯𝐚𝐜𝐲-𝐒𝐚𝐟𝐞 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬

0G is quietly building what most AI projects are still missing a place where AI agents actually become usable, deployable, and profitable.

Right now, building AI agents is fragmented. Compute is separate. Storage is separate. Data availability is separate. Execution isn’t trusted. And onboarding is slow.

0G fixes that with one simple shift an app-first entry into a full AI-native modular stack.

This isn’t just infrastructure. It’s a working system.

The 0G app removes the biggest barrier onboarding. Builders don’t need to figure out complex setups anymore. You open the app, experiment, and move to deployment in minutes.

Sub-1-minute deployment changes everything. Speed is what turns ideas into products.

Under the hood, 0G connects Chain, Compute, Storage, and DA into one modular stack. That means builders are not stitching tools together. It’s already done.

But the real unlock is trusted execution.

AI agents today can’t be fully trusted, especially in high-value workflows. 0G introduces privacy-first execution so agents can run securely, without exposing sensitive data. .

This is where it goes beyond competitors like Fetch.ai or Render Token. They focus on parts of the stack. 0G connects everything into a deployable system with security and monetization built in.

And the scale is already forming:

300+ ecosystem partners
10,000+ target agents by Q4 2026
$100M annualized net revenue ambition
$1B TVL confidence target

This isn’t early concept stage. This is ecosystem expansion.

The app is the funnel. The modular stack is the engine.

This is why it matters.

AI agents are becoming one of the largest software markets of this decade. But without fast onboarding, trusted execution, and monetization rails, adoption stays limited.

0G is solving all three at once.

#AI #AIAgents #0G

$0G l $TAO l $RENDER
hamz4241:
OG is building the future of decentralized AI
Article
𝐓𝐡𝐞 𝐄𝐚𝐬𝐢𝐞𝐬𝐭 𝐄𝐧𝐭𝐫𝐲 𝐈𝐧𝐭𝐨 𝐏𝐫𝐢𝐯𝐚𝐜𝐲-𝐒𝐚𝐟𝐞 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 - 𝟎𝐆𝟎𝐆 𝐀𝐩𝐩 𝐋𝐚𝐮𝐧𝐜𝐡 𝐓𝐡𝐞 𝐄𝐚𝐬𝐢𝐞𝐬𝐭 𝐄𝐧𝐭𝐫𝐲 𝐈𝐧𝐭𝐨 𝐏𝐫𝐢𝐯𝐚𝐜𝐲-𝐒𝐚𝐟𝐞 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 0G is quietly building what most AI projects are still missing a place where AI agents actually become usable, deployable, and profitable. Right now, building AI agents is fragmented. Compute is separate. Storage is separate. Data availability is separate. Execution isn’t trusted. And onboarding is slow. 0G fixes that with one simple shift an app-first entry into a full AI-native modular stack. This isn’t just infrastructure. It’s a working system. The 0G app removes the biggest barrier onboarding. Builders don’t need to figure out complex setups anymore. You open the app, experiment, and move to deployment in minutes. Sub-1-minute deployment changes everything. Speed is what turns ideas into products. Under the hood, 0G connects Chain, Compute, Storage, and DA into one modular stack. That means builders are not stitching tools together. It’s already done. But the real unlock is trusted execution. AI agents today can’t be fully trusted, especially in high-value workflows. 0G introduces privacy-first execution so agents can run securely, without exposing sensitive data. . This is where it goes beyond competitors like Fetch.ai or Render Token. They focus on parts of the stack. 0G connects everything into a deployable system with security and monetization built in. And the scale is already forming: 300+ ecosystem partners 10,000+ target agents by Q4 2026 $100M annualized net revenue ambition $1B TVL confidence target This isn’t early concept stage. This is ecosystem expansion. The app is the funnel. The modular stack is the engine. This is why it matters. AI agents are becoming one of the largest software markets of this decade. But without fast onboarding, trusted execution, and monetization rails, adoption stays limited. 0G is solving all three at once. #Aİ #AIAgents #0G $0G l $TAO l $RENDER {future}(RENDERUSDT) {future}(TAOUSDT) {future}(OGUSDT)

𝐓𝐡𝐞 𝐄𝐚𝐬𝐢𝐞𝐬𝐭 𝐄𝐧𝐭𝐫𝐲 𝐈𝐧𝐭𝐨 𝐏𝐫𝐢𝐯𝐚𝐜𝐲-𝐒𝐚𝐟𝐞 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬 - 𝟎𝐆

𝟎𝐆 𝐀𝐩𝐩 𝐋𝐚𝐮𝐧𝐜𝐡 𝐓𝐡𝐞 𝐄𝐚𝐬𝐢𝐞𝐬𝐭 𝐄𝐧𝐭𝐫𝐲 𝐈𝐧𝐭𝐨 𝐏𝐫𝐢𝐯𝐚𝐜𝐲-𝐒𝐚𝐟𝐞 𝐀𝐈 𝐀𝐠𝐞𝐧𝐭𝐬
0G is quietly building what most AI projects are still missing a place where AI agents actually become usable, deployable, and profitable.
Right now, building AI agents is fragmented. Compute is separate. Storage is separate. Data availability is separate. Execution isn’t trusted. And onboarding is slow.
0G fixes that with one simple shift an app-first entry into a full AI-native modular stack.
This isn’t just infrastructure. It’s a working system.
The 0G app removes the biggest barrier onboarding. Builders don’t need to figure out complex setups anymore. You open the app, experiment, and move to deployment in minutes.
Sub-1-minute deployment changes everything. Speed is what turns ideas into products.
Under the hood, 0G connects Chain, Compute, Storage, and DA into one modular stack. That means builders are not stitching tools together. It’s already done.
But the real unlock is trusted execution.
AI agents today can’t be fully trusted, especially in high-value workflows. 0G introduces privacy-first execution so agents can run securely, without exposing sensitive data. .
This is where it goes beyond competitors like Fetch.ai or Render Token. They focus on parts of the stack. 0G connects everything into a deployable system with security and monetization built in.
And the scale is already forming:
300+ ecosystem partners
10,000+ target agents by Q4 2026
$100M annualized net revenue ambition
$1B TVL confidence target
This isn’t early concept stage. This is ecosystem expansion.
The app is the funnel. The modular stack is the engine.
This is why it matters.
AI agents are becoming one of the largest software markets of this decade. But without fast onboarding, trusted execution, and monetization rails, adoption stays limited.
0G is solving all three at once.
#Aİ #AIAgents #0G
$0G l $TAO l $RENDER

Asaliya:
OG
Daisy_adamZz:
Lfg
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Haussier
$OG confirmed the bounce! 🚀 Clean recovery from the $0.518 support zone. Currently trading around $0.556 with volume picking up. 📈 🎯 Next major resistance: $0.60 What’s your move on $OG? Bullish? 🐂 ⚠️ Personal market view only. Not financial advice. DYOR. #OG #Crypto #Trading #Altcoins #Binance $BTC #0G
$OG confirmed the bounce! 🚀

Clean recovery from the $0.518 support zone. Currently trading around $0.556 with volume picking up. 📈

🎯 Next major resistance: $0.60

What’s your move on $OG ? Bullish? 🐂

⚠️ Personal market view only. Not financial advice. DYOR.

#OG #Crypto #Trading #Altcoins #Binance $BTC #0G
callmesae187:
check my pinned post and claim your free red package and quiz in USTD🎁🎁
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Haussier
Where Decentralized AI Founders Get Built 🖥 $SUI showed how fast ecosystems grow when builders get capital, mentorship, and distribution early. $TAO proved how much value AI infrastructure can create once compute becomes the economy. 0G is now bringing both together through Apollo. The builder receipts are strong: → 10 teams selected → up to $2M investment per project → 10-week Stanford-backed program → Google Cloud + Privy support → 1 Demo Day Apollo is powered by 0G, and Blockchain Builders, led by Stanford veterans, built for developers and protocols launching on decentralized AI rails. Builders get direct access to 0G protocol engineers, founder mentorship, VC networks, cloud infrastructure, and a clear path from idea to mainnet deployment. That’s how strong infrastructure turns into the next wave of AI-native builders. #0G #AI
Where Decentralized AI Founders Get Built 🖥

$SUI showed how fast ecosystems grow when builders get capital, mentorship, and distribution early. $TAO proved how much value AI infrastructure can create once compute becomes the economy. 0G is now bringing both together through Apollo.

The builder receipts are strong:

→ 10 teams selected
→ up to $2M investment per project
→ 10-week Stanford-backed program
→ Google Cloud + Privy support
→ 1 Demo Day

Apollo is powered by 0G, and Blockchain Builders, led by Stanford veterans, built for developers and protocols launching on decentralized AI rails.

Builders get direct access to 0G protocol engineers, founder mentorship, VC networks, cloud infrastructure, and a clear path from idea to mainnet deployment.

That’s how strong infrastructure turns into the next wave of AI-native builders.

#0G #AI
E Alex:
Bullish on decentralized AI infra. Let's see if 0G can match that growth. Follow?
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Baissier
Market still under heavy pressure—downside continuation in play! 💥 Sellers are dominating as support zones keep breaking! $0G {future}(0GUSDT) 🔴 LIQUIDITY ZONE HIT 🔴 Long liquidation spotted 🧨 $2.8728K cleared at $0.55129 Downside liquidity swept — react NOW or watch the market shift 👀 🎯 TP Targets: TP1: ~$0.540 TP2: ~$0.528 TP3: ~$0.515 #0g
Market still under heavy pressure—downside continuation in play! 💥
Sellers are dominating as support zones keep breaking!
$0G
🔴 LIQUIDITY ZONE HIT 🔴
Long liquidation spotted 🧨
$2.8728K cleared at $0.55129
Downside liquidity swept — react NOW or watch the market shift 👀
🎯 TP Targets:
TP1: ~$0.540
TP2: ~$0.528
TP3: ~$0.515
#0g
Article
Pourquoi $0G va devenir le moteur économique de l'IASi $TAO a prouvé que l'IA décentralisée peut générer de la valeur réelle, 0G passe à la vitesse supérieure. On ne parle pas juste d'un protocole, mais d'un Flywheel (volant d'inertie) massif où chaque brique de la tech alimente directement la demande de tokens. ⚙️ La boucle de valeur 0G en 5 étapes : L'écosystème est conçu pour s'auto-alimenter. Plus il y a d'activité, plus la machine s'accélère : Inférence IA : Tout le trafic circule via les rails ultra-rapides de 0G.Scalabilité Data (DA) : Le stockage et la disponibilité des données s'ajustent automatiquement à l'usage.Économie des Agents : Les bots et agents autonomes construisent leurs propres services sur la pile.Optimisation Mémoire : La compression des données entre les sessions rend le réseau de plus en plus efficace.Effet réseau (Apollo) : De plus en plus de builders lancent leurs projets via le programme Apollo. 💎 La thèse de croissance L'idée est simple : Chaque nouvel utilisateur et chaque workflow IA renforcent la même couche de base économique. Le constat est clair : Plus la couche applicative explose, plus $0G s'impose au centre de chaque transaction, de chaque calcul et de chaque action d'agent IA. On ne construit pas juste une infrastructure, on crée un cercle vertueux exponentiel. À mesure que les builders livrent leurs produits sur la stack, $0G devient l'épicentre inévitable de l'économie de l'intelligence artificielle. #AI #0G #crypto #Web3Infrastructure

Pourquoi $0G va devenir le moteur économique de l'IA

Si $TAO a prouvé que l'IA décentralisée peut générer de la valeur réelle, 0G passe à la vitesse supérieure. On ne parle pas juste d'un protocole, mais d'un Flywheel (volant d'inertie) massif où chaque brique de la tech alimente directement la demande de tokens.
⚙️ La boucle de valeur 0G en 5 étapes :
L'écosystème est conçu pour s'auto-alimenter. Plus il y a d'activité, plus la machine s'accélère :
Inférence IA : Tout le trafic circule via les rails ultra-rapides de 0G.Scalabilité Data (DA) : Le stockage et la disponibilité des données s'ajustent automatiquement à l'usage.Économie des Agents : Les bots et agents autonomes construisent leurs propres services sur la pile.Optimisation Mémoire : La compression des données entre les sessions rend le réseau de plus en plus efficace.Effet réseau (Apollo) : De plus en plus de builders lancent leurs projets via le programme Apollo.
💎 La thèse de croissance
L'idée est simple : Chaque nouvel utilisateur et chaque workflow IA renforcent la même couche de base économique.
Le constat est clair : Plus la couche applicative explose, plus $0G s'impose au centre de chaque transaction, de chaque calcul et de chaque action d'agent IA.
On ne construit pas juste une infrastructure, on crée un cercle vertueux exponentiel. À mesure que les builders livrent leurs produits sur la stack, $0G devient l'épicentre inévitable de l'économie de l'intelligence artificielle.
#AI #0G #crypto #Web3Infrastructure
Deuphoncrator :
Bonjour, une question à la communauté s’il vous plaît ce token est-il déflationniste ? Merci de votre réponse.
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Haussier
NVIDIA CEO Projects $1T AI Agent Economy 🌐 $TAO captures how fast the market is already pricing autonomous agents. $0G is building the verifiable compute rails that make a trillion-dollar agent economy trustworthy at scale. Jensen Huang just projected at least $1T in AI compute demand through 2027, driven by inference and the rise of agentic AI. The missing layer inside that forecast is trust. An AI economy at that scale cannot run on compute rails where prompts, outputs, and execution can still be surveilled or altered. That’s exactly where 0G’s sealed inference layer matters. The proof stack is already live: → Aristotle Mainnet live → $397M+ cumulative committed capital → 300+ ecosystem partners → production inference workloads already flowing This is what makes the trillion-dollar AI thesis feel real. The demand curve is accelerating. The verifiable compute rails are already here. #0G #AI
NVIDIA CEO Projects $1T AI Agent Economy 🌐

$TAO captures how fast the market is already pricing autonomous agents. $0G is building the verifiable compute rails that make a trillion-dollar agent economy trustworthy at scale.

Jensen Huang just projected at least $1T in AI compute demand through 2027, driven by inference and the rise of agentic AI.

The missing layer inside that forecast is trust.

An AI economy at that scale cannot run on compute rails where prompts, outputs, and execution can still be surveilled or altered.

That’s exactly where 0G’s sealed inference layer matters.

The proof stack is already live:
→ Aristotle Mainnet live
→ $397M+ cumulative committed capital
→ 300+ ecosystem partners
→ production inference workloads already flowing

This is what makes the trillion-dollar AI thesis feel real.

The demand curve is accelerating.
The verifiable compute rails are already here.

#0G #AI
DariX F0 Square:
Hope this one takes off fast
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Baissier
short $0G #0G Analysis for opening a short position on 0G suggests the token is currently at a critical technical junction. As of April 28, 2026, the price is hovering near $0.57 - $0.58, showing signs of a pullback after failing to hold higher levels. ​Market Overview ​Price Action: 0G has retreated nearly 30% from its recent local high. ​Key Resistance: Resistance is firmly established at $0.60 - $0.65. If the price remains below $0.60, the bearish momentum for a short may persist. ​Support Levels: Immediate support sits at $0.56. If this breaks, the next major downside targets are $0.52 and $0.49. ​Indicators: The MACD is showing early signs of weakening momentum on the daily chart, while the RSI is around 60—leaving room for further downside movement before reaching "oversold" conditions. ​Exchange & Strategy
short $0G #0G Analysis for opening a short position on 0G suggests the token is currently at a critical technical junction. As of April 28, 2026, the price is hovering near $0.57 - $0.58, showing signs of a pullback after failing to hold higher levels.

​Market Overview

​Price Action: 0G has retreated nearly 30% from its recent local high.

​Key Resistance: Resistance is firmly established at $0.60 - $0.65. If the price remains below $0.60, the bearish momentum for a short may persist.

​Support Levels: Immediate support sits at $0.56. If this breaks, the next major downside targets are $0.52 and $0.49.

​Indicators: The MACD is showing early signs of weakening momentum on the daily chart, while the RSI is around 60—leaving room for further downside movement before reaching "oversold" conditions.

​Exchange & Strategy
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