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ANDREW COLLINS

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🎁 BTC GIVEAWAY LIVE Giving back to the real ones today. A few lucky people will receive Bitcoin directly. No fees. No tricks. Just pure community rewards. How to join 1️⃣ Follow 2️⃣ Like this post 3️⃣ Comment 30 Stay active, more drops on the way. 🚀 #BTC #Bitcoin #CryptoGiveaways
🎁 BTC GIVEAWAY LIVE
Giving back to the real ones today.
A few lucky people will receive Bitcoin directly.
No fees. No tricks. Just pure community rewards.
How to join
1️⃣ Follow
2️⃣ Like this post
3️⃣ Comment 30

Stay active, more drops on the way. 🚀
#BTC #Bitcoin #CryptoGiveaways
$DENT just got rejected hard from 0.000440 and now we’re seeing clean lower highs on the 30m chart. Momentum is fading after the big spike. This looks like a bearish pullback setup, not continuation. I’m watching $DENT for a short if the bounce stays weak. Entry zone: 0.000348 – 0.000360 Stop loss: 0.000395 TP1: 0.000320 TP2: 0.000295 TP3: 0.000260 Chart reasoning: Strong rejection at the top followed by consistent lower highs and heavy sell candles shows sellers taking control. If buyers can’t reclaim 0.000395, pressure likely continues down. Patience here pays. Wait for confirmation, manage risk, and don’t chase hype. I’m trading the structure, not the emotion on $DENT . #DENT
$DENT just got rejected hard from 0.000440 and now we’re seeing clean lower highs on the 30m chart. Momentum is fading after the big spike. This looks like a bearish pullback setup, not continuation.

I’m watching $DENT for a short if the bounce stays weak.

Entry zone: 0.000348 – 0.000360
Stop loss: 0.000395
TP1: 0.000320
TP2: 0.000295
TP3: 0.000260

Chart reasoning: Strong rejection at the top followed by consistent lower highs and heavy sell candles shows sellers taking control.

If buyers can’t reclaim 0.000395, pressure likely continues down. Patience here pays. Wait for confirmation, manage risk, and don’t chase hype.

I’m trading the structure, not the emotion on $DENT .

#DENT
$ETH is showing clear weakness after rejection near 2,090. Lower highs are forming and sellers are pressing momentum on the 30m chart. This looks like a bearish pullback setup, not the bottom yet. I’m watching $ETH for continuation if price fails to reclaim 2,020. Entry zone: 1,995 – 2,015 Stop loss: 2,055 TP1: 1,970 TP2: 1,940 TP3: 1,900 Chart reasoning: Strong rejection from highs followed by aggressive sell candles and weak bounce confirms seller control. If $ETH loses 1,970 support cleanly, acceleration to the downside becomes likely. No rush, wait for the right entry and manage risk properly. Trade smart, not emotional. #ETH
$ETH is showing clear weakness after rejection near 2,090. Lower highs are forming and sellers are pressing momentum on the 30m chart.
This looks like a bearish pullback setup, not the bottom yet. I’m watching $ETH for continuation if price fails to reclaim 2,020.

Entry zone: 1,995 – 2,015
Stop loss: 2,055
TP1: 1,970
TP2: 1,940
TP3: 1,900

Chart reasoning: Strong rejection from highs followed by aggressive sell candles and weak bounce confirms seller control.
If $ETH loses 1,970 support cleanly, acceleration to the downside becomes likely. No rush, wait for the right entry and manage risk properly.
Trade smart, not emotional.

#ETH
Fogo and the Execution Shift: Why My Research Points to a Different Kind of Layer 1 GrowthI search for infrastructure that holds up under pressure rather than just looking impressive on paper. My personal experience with following Layer 1 ecosystems has taught me that performance claims mean little without consistent execution. When I checked the design of Fogo I focused first on its foundation. It is a high performance Layer 1 that uses the Solana Virtual Machine which allows parallel processing instead of forcing every transaction into a single queue. I say to this that execution design is where real scalability begins. When transactions declare the accounts they interact with the system can schedule them efficiently. This is not about theoretical peak speed. It is about sustained throughput and predictable behavior. I checked how this architecture translates into real conditions. We often see networks perform well in controlled environments but struggle during demand spikes. Fogo’s use of deterministic runtime behavior and parallel execution suggests a structure built for consistency. They are not relying on marketing metrics alone. They are focusing on reducing serialization bottlenecks and improving developer efficiency. In my personal experience studying blockchain growth cycles I have seen that developers follow reliability. When infrastructure behaves predictably applications grow more confidently. We also need to look at measurable signals rather than narrative momentum. I search for metrics like active developer retention network uptime transaction stability and validator distribution. I checked how ecosystems evolve when they prioritize execution clarity over headline numbers. They tend to build slower but more sustainably. We often assume adoption comes from visibility yet my research shows that adoption usually follows usability. When developers can deploy without friction and users can interact without delay the network becomes part of everyday activity. I say to this that risk awareness is just as important as performance optimism. Parallel execution models require careful state management. If applications repeatedly access the same accounts congestion can still occur. Governance structure will also influence long term decentralization. They must balance performance with distributed validation. My personal experience following multiple Layer 1 networks shows that early acknowledgment of structural risk often leads to stronger long term outcomes. We should also consider how market behavior reflects infrastructure trust. I checked trading consistency and liquidity patterns on Binance not as a price indicator but as a signal of participation stability. When usage grows alongside liquidity depth it often reflects developer confidence rather than short term speculation. I search for these correlations because they provide clearer insight into whether a network is becoming functionally relevant. They are building with an emphasis on execution rather than noise. If this direction continues the network could support applications that require high reliability without forcing users to think about the underlying system. My personal experience tells me that the most durable blockchain ecosystems are the ones that fade into the background while supporting meaningful activity. My expert takeaway based on data rather than hype is simple. Networks that optimize execution efficiency and developer experience tend to outlast those built around peak metrics and narrative cycles. Fogo’s architecture suggests a focus on structural performance. If adoption metrics and developer activity continue aligning with this design approach it may position itself as a stable execution layer rather than a speculative trend. @fogo $FOGO #fogo

Fogo and the Execution Shift: Why My Research Points to a Different Kind of Layer 1 Growth

I search for infrastructure that holds up under pressure rather than just looking impressive on paper. My personal experience with following Layer 1 ecosystems has taught me that performance claims mean little without consistent execution. When I checked the design of Fogo I focused first on its foundation. It is a high performance Layer 1 that uses the Solana Virtual Machine which allows parallel processing instead of forcing every transaction into a single queue. I say to this that execution design is where real scalability begins. When transactions declare the accounts they interact with the system can schedule them efficiently. This is not about theoretical peak speed. It is about sustained throughput and predictable behavior.

I checked how this architecture translates into real conditions. We often see networks perform well in controlled environments but struggle during demand spikes. Fogo’s use of deterministic runtime behavior and parallel execution suggests a structure built for consistency. They are not relying on marketing metrics alone. They are focusing on reducing serialization bottlenecks and improving developer efficiency. In my personal experience studying blockchain growth cycles I have seen that developers follow reliability. When infrastructure behaves predictably applications grow more confidently.
We also need to look at measurable signals rather than narrative momentum. I search for metrics like active developer retention network uptime transaction stability and validator distribution. I checked how ecosystems evolve when they prioritize execution clarity over headline numbers. They tend to build slower but more sustainably. We often assume adoption comes from visibility yet my research shows that adoption usually follows usability. When developers can deploy without friction and users can interact without delay the network becomes part of everyday activity.
I say to this that risk awareness is just as important as performance optimism. Parallel execution models require careful state management. If applications repeatedly access the same accounts congestion can still occur. Governance structure will also influence long term decentralization. They must balance performance with distributed validation. My personal experience following multiple Layer 1 networks shows that early acknowledgment of structural risk often leads to stronger long term outcomes.
We should also consider how market behavior reflects infrastructure trust. I checked trading consistency and liquidity patterns on Binance not as a price indicator but as a signal of participation stability. When usage grows alongside liquidity depth it often reflects developer confidence rather than short term speculation. I search for these correlations because they provide clearer insight into whether a network is becoming functionally relevant.
They are building with an emphasis on execution rather than noise. If this direction continues the network could support applications that require high reliability without forcing users to think about the underlying system. My personal experience tells me that the most durable blockchain ecosystems are the ones that fade into the background while supporting meaningful activity.

My expert takeaway based on data rather than hype is simple. Networks that optimize execution efficiency and developer experience tend to outlast those built around peak metrics and narrative cycles. Fogo’s architecture suggests a focus on structural performance. If adoption metrics and developer activity continue aligning with this design approach it may position itself as a stable execution layer rather than a speculative trend.
@Fogo Official
$FOGO
#fogo
$SOL just printed a strong impulse from 80.9 to 92.0 and now pulling back to retest breakout zone. This is where smart money watches. If 85 to 86 holds, continuation toward fresh highs is on the table. Weak hands panic, strong hands position. $SOL EP: 85.80 – 87.00 TP1: 90.20 TP2: 92.50 TP3: 95.00 SL: 83.90 Trend is still bullish on structure. This dip looks like profit taking, not reversal. Manage risk and let momentum confirm the next leg. #sol
$SOL just printed a strong impulse from 80.9 to 92.0 and now pulling back to retest breakout zone. This is where smart money watches. If 85 to 86 holds, continuation toward fresh highs is on the table. Weak hands panic, strong hands position. $SOL
EP: 85.80 – 87.00
TP1: 90.20
TP2: 92.50
TP3: 95.00
SL: 83.90
Trend is still bullish on structure. This dip looks like profit taking, not reversal. Manage risk and let momentum confirm the next leg.

#sol
@fogo came onto my radar while I was digging deeper into Layer 1 execution models. I search for networks that solve structural limits not just promote high TPS numbers. In my personal experience I checked several chains during volatile periods and many slow down when activity rises. I say to this that architecture decides durability. Fogo runs on the Solana Virtual Machine which enables parallel transaction handling instead of forcing everything through a single path. We are seeing more developers prioritize efficiency at the execution layer because that is where real scalability lives. When I reviewed performance signals and ecosystem traction, $FOGO stood out for its focus on consistency rather than short term excitement. They are building around measurable strength such as stable throughput and developer alignment. If adoption continues at a steady pace this could mature into a reliable infrastructure layer. My view stays grounded in data not hype and I will keep tracking how fundamentals expand over time #Fogo
@Fogo Official came onto my radar while I was digging deeper into Layer 1 execution models. I search for networks that solve structural limits not just promote high TPS numbers. In my personal experience I checked several chains during volatile periods and many slow down when activity rises. I say to this that architecture decides durability. Fogo runs on the Solana Virtual Machine which enables parallel transaction handling instead of forcing everything through a single path. We are seeing more developers prioritize efficiency at the execution layer because that is where real scalability lives. When I reviewed performance signals and ecosystem traction, $FOGO stood out for its focus on consistency rather than short term excitement. They are building around measurable strength such as stable throughput and developer alignment. If adoption continues at a steady pace this could mature into a reliable infrastructure layer. My view stays grounded in data not hype and I will keep tracking how fundamentals expand over time #Fogo
$ETH is waking up with strong momentum after a clean bounce from the 1.79K base. Buyers stepped in hard and price reclaimed the 2K zone with volume. If this structure holds, continuation toward the recent high looks likely. Watching for strength above 2,050 for the next push. $ETH EP: 2,040–2,070 TP1: 2,120 TP2: 2,180 TP3: 2,260 SL: 1,960 Momentum is bullish but extended, so manage risk and avoid chasing spikes. Next breakout decides trend. #ETH
$ETH is waking up with strong momentum after a clean bounce from the 1.79K base. Buyers stepped in hard and price reclaimed the 2K zone with volume. If this structure holds, continuation toward the recent high looks likely. Watching for strength above 2,050 for the next push. $ETH

EP: 2,040–2,070
TP1: 2,120
TP2: 2,180
TP3: 2,260
SL: 1,960

Momentum is bullish but extended, so manage risk and avoid chasing spikes. Next breakout decides trend.

#ETH
Fogo and the Feeling of Discovering a Network That Moves at the Speed of ThoughtI’m starting from the foundation because that is where the story of @fogo truly begins. It is a high performance Layer 1 network powered by the Solana Virtual Machine and the core idea is simple. Transactions that do not interfere with each other should not have to wait in a line. They move at the same time. That parallel execution model changes everything about how a network feels. They’re building an environment where activity flows rather than stacks. If it becomes widely used the difference is not only technical. It becomes emotional. Users stop thinking about delays. We’re seeing a system designed to disappear into the background while doing complex work quietly. When I think about how it operates in the real world I imagine developers trying to build experiences that feel instant. Games marketplaces and social layers depend on timing. A network that slows down during peak activity interrupts that experience. Fogo is designed so that performance holds steady even when demand rises. They’re not chasing flashy benchmarks. They’re focusing on stability under pressure. If it becomes part of everyday digital infrastructure then people will rely on it without noticing. We’re seeing how consistency builds trust more effectively than short bursts of speed. That trust is what allows communities to grow around a network. The architecture reveals careful decisions. I’m noticing how deterministic execution allows outcomes to remain predictable. Developers can write code knowing that results will match expectations. They’re building for reliability rather than surprise. If it becomes a base layer for real applications then those choices will matter more than marketing. We’re seeing how a stable runtime encourages long term thinking. Metrics of progress begin to shift. Instead of only watching price charts I’m watching developer activity network uptime and sustained usage. They’re the signals that show whether a network is becoming a living environment rather than a temporary trend. Every project carries uncertainty and Fogo is no different. I’m aware that growth can create stress on any system. They’re entering a competitive landscape where attention moves quickly. If it becomes overloaded too early the network must prove its resilience. Governance decisions upgrades and community alignment all shape its direction. We’re seeing how acknowledging risk early allows teams to strengthen foundations. Transparency about challenges often builds more confidence than pretending they do not exist. I’m seeing a project that seems aware that durability matters more than speed of recognition. The long term vision feels personal because it connects to how people interact with digital spaces over time. I’m imagining a network that evolves alongside its users. They’re building something that can adapt as expectations change. If it becomes a trusted layer then creators can focus on experiences rather than infrastructure. We’re seeing how quiet reliability can shape entire ecosystems. The network becomes less of a product and more of a place. That transformation takes patience. It requires consistency. It requires listening to the community that grows around it. Sometimes discovery begins with observation. I’m looking at market behavior on Binance and noticing how interest often follows performance rather than promises. They’re not only measuring attention. They’re measuring endurance. If it becomes a network that performs steadily through market cycles then confidence deepens. We’re seeing how resilience attracts builders who value stability over noise. In the end this reflection feels grounded in possibility. I’m seeing Fogo not as a sudden breakthrough but as a gradual shift toward smoother digital infrastructure. They’re building with the understanding that technology should support human activity rather than distract from it. If it becomes part of the digital foundation then its greatest success will be how little people have to think about it. We’re seeing a future where speed stability and usability exist together and that future carries a quiet optimism that is hard to ignore. @fogo $FOGO #fogo

Fogo and the Feeling of Discovering a Network That Moves at the Speed of Thought

I’m starting from the foundation because that is where the story of @Fogo Official truly begins. It is a high performance Layer 1 network powered by the Solana Virtual Machine and the core idea is simple. Transactions that do not interfere with each other should not have to wait in a line. They move at the same time. That parallel execution model changes everything about how a network feels. They’re building an environment where activity flows rather than stacks. If it becomes widely used the difference is not only technical. It becomes emotional. Users stop thinking about delays. We’re seeing a system designed to disappear into the background while doing complex work quietly.
When I think about how it operates in the real world I imagine developers trying to build experiences that feel instant. Games marketplaces and social layers depend on timing. A network that slows down during peak activity interrupts that experience. Fogo is designed so that performance holds steady even when demand rises. They’re not chasing flashy benchmarks. They’re focusing on stability under pressure. If it becomes part of everyday digital infrastructure then people will rely on it without noticing. We’re seeing how consistency builds trust more effectively than short bursts of speed. That trust is what allows communities to grow around a network.
The architecture reveals careful decisions. I’m noticing how deterministic execution allows outcomes to remain predictable. Developers can write code knowing that results will match expectations. They’re building for reliability rather than surprise. If it becomes a base layer for real applications then those choices will matter more than marketing. We’re seeing how a stable runtime encourages long term thinking. Metrics of progress begin to shift. Instead of only watching price charts I’m watching developer activity network uptime and sustained usage. They’re the signals that show whether a network is becoming a living environment rather than a temporary trend.
Every project carries uncertainty and Fogo is no different. I’m aware that growth can create stress on any system. They’re entering a competitive landscape where attention moves quickly. If it becomes overloaded too early the network must prove its resilience. Governance decisions upgrades and community alignment all shape its direction. We’re seeing how acknowledging risk early allows teams to strengthen foundations. Transparency about challenges often builds more confidence than pretending they do not exist. I’m seeing a project that seems aware that durability matters more than speed of recognition.
The long term vision feels personal because it connects to how people interact with digital spaces over time. I’m imagining a network that evolves alongside its users. They’re building something that can adapt as expectations change. If it becomes a trusted layer then creators can focus on experiences rather than infrastructure. We’re seeing how quiet reliability can shape entire ecosystems. The network becomes less of a product and more of a place. That transformation takes patience. It requires consistency. It requires listening to the community that grows around it.
Sometimes discovery begins with observation. I’m looking at market behavior on Binance and noticing how interest often follows performance rather than promises. They’re not only measuring attention. They’re measuring endurance. If it becomes a network that performs steadily through market cycles then confidence deepens. We’re seeing how resilience attracts builders who value stability over noise.
In the end this reflection feels grounded in possibility. I’m seeing Fogo not as a sudden breakthrough but as a gradual shift toward smoother digital infrastructure. They’re building with the understanding that technology should support human activity rather than distract from it. If it becomes part of the digital foundation then its greatest success will be how little people have to think about it. We’re seeing a future where speed stability and usability exist together and that future carries a quiet optimism that is hard to ignore.
@Fogo Official
$FOGO
#fogo
@fogo caught my attention because it focuses on real performance not noise. I’m watching how this high speed Layer 1 uses the Solana Virtual Machine to process transactions in parallel so activity moves smoothly instead of waiting in line. They’re building a network where consistency matters more than hype and developers can rely on predictable execution when demand rises. In real markets that reliability is what keeps users coming back. I keep seeing stronger infrastructure conversations around $FOGO as more people look beyond price and start tracking usage growth uptime and developer interest. If it becomes a stable base for apps and communities then long term value forms naturally. We’re seeing early signals that the network wants to grow with its users rather than chase attention for a moment. I’m following how adoption unfolds and how builders respond over time because true strength appears through steady performance and trust. Quiet progress often becomes the loudest success in the end #Fogo
@Fogo Official caught my attention because it focuses on real performance not noise. I’m watching how this high speed Layer 1 uses the Solana Virtual Machine to process transactions in parallel so activity moves smoothly instead of waiting in line. They’re building a network where consistency matters more than hype and developers can rely on predictable execution when demand rises. In real markets that reliability is what keeps users coming back. I keep seeing stronger infrastructure conversations around $FOGO as more people look beyond price and start tracking usage growth uptime and developer interest. If it becomes a stable base for apps and communities then long term value forms naturally. We’re seeing early signals that the network wants to grow with its users rather than chase attention for a moment. I’m following how adoption unfolds and how builders respond over time because true strength appears through steady performance and trust. Quiet progress often becomes the loudest success in the end #Fogo
🚨 $RAVE just printed a long liquidation near 0.2386 and I’m seeing buyers flushed from the move. When long pressure clears like this, a relief bounce often forms if support holds. I want to see $RAVE stabilize before expecting continuation. Trade Plan EP: 0.245 TP1: 0.266 TP2: 0.295 TP3: 0.34 SL: 0.226 Crowded longs were cleared and structure can rebuild. If buyers return gradually, upside can open step by step. I’ll stay patient and let $RAVE confirm strength before entering. #RAVE
🚨 $RAVE just printed a long liquidation near 0.2386 and I’m seeing buyers flushed from the move. When long pressure clears like this, a relief bounce often forms if support holds. I want to see $RAVE stabilize before expecting continuation.
Trade Plan
EP: 0.245
TP1: 0.266
TP2: 0.295
TP3: 0.34
SL: 0.226
Crowded longs were cleared and structure can rebuild. If buyers return gradually, upside can open step by step. I’ll stay patient and let $RAVE confirm strength before entering. #RAVE
🚨 $PIEVERSE just printed a long liquidation near 0.4998 and I’m seeing buyers flushed from the move. When long pressure clears like this, price often looks for a relief bounce if support holds. I want to see $PIEVERSE stabilize before expecting continuation. Trade Plan EP: 0.512 TP1: 0.55 TP2: 0.61 TP3: 0.70 SL: 0.47 Liquidity cleared and structure can rebuild. If buyers return gradually, upside can open step by step. I’ll stay patient and let $PIEVERSE confirm strength before entering. #PIEVERSE
🚨 $PIEVERSE just printed a long liquidation near 0.4998 and I’m seeing buyers flushed from the move. When long pressure clears like this, price often looks for a relief bounce if support holds. I want to see $PIEVERSE stabilize before expecting continuation.
Trade Plan
EP: 0.512
TP1: 0.55
TP2: 0.61
TP3: 0.70
SL: 0.47
Liquidity cleared and structure can rebuild. If buyers return gradually, upside can open step by step. I’ll stay patient and let $PIEVERSE confirm strength before entering. #PIEVERSE
🚨 $SOMI just printed a long liquidation near 0.2212 and I’m seeing buyers flushed from the move. When long pressure clears like this, the chart often prepares for a relief bounce if support holds. I want to see $SOMI stabilize before expecting recovery. Trade Plan EP: 0.227 TP1: 0.245 TP2: 0.272 TP3: 0.31 SL: 0.208 Crowded longs were cleared and structure can rebuild. If buyers return gradually, upside can open step by step. I’ll stay patient and let $SOMI confirm strength before entering. #SOMI
🚨 $SOMI just printed a long liquidation near 0.2212 and I’m seeing buyers flushed from the move. When long pressure clears like this, the chart often prepares for a relief bounce if support holds. I want to see $SOMI stabilize before expecting recovery.
Trade Plan
EP: 0.227
TP1: 0.245
TP2: 0.272
TP3: 0.31
SL: 0.208
Crowded longs were cleared and structure can rebuild. If buyers return gradually, upside can open step by step. I’ll stay patient and let $SOMI confirm strength before entering. #SOMI
🚨 $TON just printed a long liquidation near 1.3016 and I’m seeing buyers flushed from the move. When long pressure clears like this, price often prepares for a rebound if support holds. I want to see $TON stabilize before expecting continuation. Trade Plan EP: 1.33 TP1: 1.44 TP2: 1.60 TP3: 1.85 SL: 1.22 Liquidity reset gives room for structure to rebuild. If buyers return gradually, upside can open step by step. I’ll stay patient and let $TON confirm strength before entering. #TON
🚨 $TON just printed a long liquidation near 1.3016 and I’m seeing buyers flushed from the move. When long pressure clears like this, price often prepares for a rebound if support holds. I want to see $TON stabilize before expecting continuation.
Trade Plan
EP: 1.33
TP1: 1.44
TP2: 1.60
TP3: 1.85
SL: 1.22
Liquidity reset gives room for structure to rebuild. If buyers return gradually, upside can open step by step. I’ll stay patient and let $TON confirm strength before entering. #TON
🚨 $GRASS just printed a strong short liquidation near 0.1896 and I’m seeing sellers squeezed out. When short pressure clears like this, the chart often looks for continuation if support builds. I want to see $GRASS hold strong before expecting expansion. Trade Plan EP: 0.195 TP1: 0.212 TP2: 0.235 TP3: 0.27 SL: 0.178 Crowded shorts were cleared and momentum can rebuild. If buyers return gradually, upside can open step by step. I’ll stay patient and let $GRASS confirm strength before entering. #GRASS
🚨 $GRASS just printed a strong short liquidation near 0.1896 and I’m seeing sellers squeezed out. When short pressure clears like this, the chart often looks for continuation if support builds. I want to see $GRASS hold strong before expecting expansion.
Trade Plan
EP: 0.195
TP1: 0.212
TP2: 0.235
TP3: 0.27
SL: 0.178
Crowded shorts were cleared and momentum can rebuild. If buyers return gradually, upside can open step by step. I’ll stay patient and let $GRASS confirm strength before entering. #GRASS
🚨 $DUSK just printed a long liquidation near 0.0897 and I’m seeing buyers flushed from the move. When long pressure clears like this, price often looks for a relief bounce if support holds. I want to see $DUSK stabilize before expecting recovery. Trade Plan EP: 0.092 TP1: 0.100 TP2: 0.112 TP3: 0.128 SL: 0.085 Crowded longs were cleared and structure can rebuild. If buyers return gradually, upside can open step by step. I’ll stay patient and let $DUSK {spot}(DUSKUSDT) confirm strength before entering. #DUSK
🚨 $DUSK just printed a long liquidation near 0.0897 and I’m seeing buyers flushed from the move. When long pressure clears like this, price often looks for a relief bounce if support holds. I want to see $DUSK stabilize before expecting recovery.
Trade Plan
EP: 0.092
TP1: 0.100
TP2: 0.112
TP3: 0.128
SL: 0.085
Crowded longs were cleared and structure can rebuild. If buyers return gradually, upside can open step by step. I’ll stay patient and let $DUSK
confirm strength before entering. #DUSK
$ENSO just printed a short liquidation near 2.6748 and I’m seeing sellers squeezed. When short pressure clears like this, continuation often follows if support holds. I want to see $ENSO stay strong above this level before expecting expansion. Trade Plan EP: 2.72 TP1: 2.95 TP2: 3.25 TP3: 3.70 SL: 2.52 Crowded shorts were cleared and momentum can rebuild. If buyers step in gradually, upside can open step by step. I’ll stay patient and let $ENSO confirm strength before entering. #ENSO
$ENSO just printed a short liquidation near 2.6748 and I’m seeing sellers squeezed. When short pressure clears like this, continuation often follows if support holds. I want to see $ENSO stay strong above this level before expecting expansion.
Trade Plan
EP: 2.72
TP1: 2.95
TP2: 3.25
TP3: 3.70
SL: 2.52
Crowded shorts were cleared and momentum can rebuild. If buyers step in gradually, upside can open step by step. I’ll stay patient and let $ENSO confirm strength before entering. #ENSO
🚨 $POWER just printed a long liquidation near 0.7267 and I’m seeing buyers flushed from the move. When long pressure clears like this, the chart often prepares for a relief bounce if support holds. I want to see $POWER stabilize before expecting continuation. Trade Plan EP: 0.742 TP1: 0.81 TP2: 0.90 TP3: 1.02 SL: 0.69 Liquidity reset gives room for structure to rebuild. If buyers return gradually, upside can open step by step. I’ll stay patient and let $POWER confirm strength before entering. #POWER
🚨 $POWER just printed a long liquidation near 0.7267 and I’m seeing buyers flushed from the move. When long pressure clears like this, the chart often prepares for a relief bounce if support holds. I want to see $POWER stabilize before expecting continuation.
Trade Plan
EP: 0.742
TP1: 0.81
TP2: 0.90
TP3: 1.02
SL: 0.69
Liquidity reset gives room for structure to rebuild. If buyers return gradually, upside can open step by step. I’ll stay patient and let $POWER confirm strength before entering. #POWER
🚨 $DENT just printed a short liquidation near 0.00017 and I’m seeing sellers squeezed out of the move. When short pressure clears like this, price often looks for continuation if support builds. I want to see $DENT hold above this zone before expecting expansion. Trade Plan EP: 0.000175 TP1: 0.00019 TP2: 0.00021 TP3: 0.00024 SL: 0.000162 Crowded shorts were cleared and momentum can rebuild. If buyers step in gradually, upside can open step by step. I’ll stay patient and let trade #Dent #StrategyBTCPurchase
🚨 $DENT just printed a short liquidation near 0.00017 and I’m seeing sellers squeezed out of the move. When short pressure clears like this, price often looks for continuation if support builds. I want to see $DENT hold above this zone before expecting expansion.
Trade Plan
EP: 0.000175
TP1: 0.00019
TP2: 0.00021
TP3: 0.00024
SL: 0.000162
Crowded shorts were cleared and momentum can rebuild. If buyers step in gradually, upside can open step by step. I’ll stay patient and let trade

#Dent #StrategyBTCPurchase
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