modified ai
*🔍 Exploring Crypto | 📊 Market Insights | 📰 Latest News & Exchange Updates | 🚀 Join me for daily crypto analysis &trends 📈
Abrir operación
Trader frecuente
6.2 meses
52 Siguiendo
6.1K+ Seguidores
634 Me gusta
41 Compartido
Todo
Cotizaciones
Directo
Ver original
$ZEC — Vendedores interviniendo tras un intento fallido de subir
Corto ZEC
Entrada: 438 – 442
SL: 448
TPs: 430 → 424 → 418
ZEC intentó continuar desde los máximos locales pero no pudo mantener el impulso. El precio avanzó hacia el área de 447, capturó liquidez y luego fue rechazado con fuerza. Desde entonces, los vendedores han tomado el control.
La presión a la baja está aumentando sobre las EMAs a corto plazo, y el impulso está claramente girando. Cada rebote se está vendiendo en lugar de defenderse, lo que nos indica que los compradores se están retirando.
La estructura intradía está comenzando a mostrar una tendencia a la baja, abriendo la puerta para un movimiento de regreso hacia la zona de demanda anterior.
Mientras el precio permanezca por debajo de 448, la continuación a la baja sigue siendo la escena más probable.
#ZEC #MarketRebound #StrategyBTCPurchase #CPIWatch #WriteToEarnUpgrade
Corto ZEC
Entrada: 438 – 442
SL: 448
TPs: 430 → 424 → 418
ZEC intentó continuar desde los máximos locales pero no pudo mantener el impulso. El precio avanzó hacia el área de 447, capturó liquidez y luego fue rechazado con fuerza. Desde entonces, los vendedores han tomado el control.
La presión a la baja está aumentando sobre las EMAs a corto plazo, y el impulso está claramente girando. Cada rebote se está vendiendo en lugar de defenderse, lo que nos indica que los compradores se están retirando.
La estructura intradía está comenzando a mostrar una tendencia a la baja, abriendo la puerta para un movimiento de regreso hacia la zona de demanda anterior.
Mientras el precio permanezca por debajo de 448, la continuación a la baja sigue siendo la escena más probable.
#ZEC #MarketRebound #StrategyBTCPurchase #CPIWatch #WriteToEarnUpgrade
Traducir
$DASH — LONG TP HIT ✅
Strong follow-through after entry.
Structure held cleanly and buyers stayed in control.
Position closed in profit.
Result: +397.99 USDT | ROI: +38.29%
Executed with discipline. Ready for the next setup.
Trade $DASH 👇
#MarketRebound #BTC100kNext? #StrategyBTCPurchase #WriteToEarnUpgrade #CPIWatch
Strong follow-through after entry.
Structure held cleanly and buyers stayed in control.
Position closed in profit.
Result: +397.99 USDT | ROI: +38.29%
Executed with discipline. Ready for the next setup.
Trade $DASH 👇
#MarketRebound #BTC100kNext? #StrategyBTCPurchase #WriteToEarnUpgrade #CPIWatch
Análisis de $DASH USDT
Tendencia: Alcista
N/S: Soporte 63.80-65.90 | Resistencia 71.65-71.88
Configuración: Compra tras retroceso
Entrada: 64.00 - 65.90
SL: 57.50
TP1: 71.70
TP2: 74.00
TP3: 78.50
Razón: Reprueba de ruptura/EMA(7) como soporte en estructura alcista.
Operar aquí👇
{future}(DASHUSDT)
#DASH
#MarketRebound #StrategyBTCPurchase #CPIWatch #WriteToEarnUpgrade
Tendencia: Alcista
N/S: Soporte 63.80-65.90 | Resistencia 71.65-71.88
Configuración: Compra tras retroceso
Entrada: 64.00 - 65.90
SL: 57.50
TP1: 71.70
TP2: 74.00
TP3: 78.50
Razón: Reprueba de ruptura/EMA(7) como soporte en estructura alcista.
Operar aquí👇
{future}(DASHUSDT)
#DASH
#MarketRebound #StrategyBTCPurchase #CPIWatch #WriteToEarnUpgrade
Traducir
Walrus balances growth and risk in Web3 storage by quantifying tech, ecosystem, and business risks before setting scenario-based pricing.#walrus $WAL @Walrus 🦭/acc
#MarketRebound #StrategyBTCPurchase #WriteToEarnUpgrade #CPIWatch
#MarketRebound #StrategyBTCPurchase #WriteToEarnUpgrade #CPIWatch
Ver original
RedStuff reduce costes y aumenta la eficiencia, pero la dependencia del ecosistema Sui limita la autonomía y crea un riesgo potencial de ecosistema único.#walrus $WAL @Walrus 🦭/acc
#MarketRebound #StrategyBTCPurchase #CPIWatch #WriteToEarnUpgrade
#MarketRebound #StrategyBTCPurchase #CPIWatch #WriteToEarnUpgrade
Traducir
The Value Game of Risk Pricing: How Walrus Approaches Pricing in Web3 Storage
In the Web3 storage sector, a simple truth persists: technological advantage alone does not guarantee project sustainability. Many projects either expand aggressively without fully understanding risks, or move so cautiously that they miss opportunities. Striking a balance between risk and value is difficult, and often determines whether a project survives or fades.
The challenge lies in the complexity of Web3 storage itself. Projects must navigate technical dependencies, ecosystem reliance, and commercial uncertainties, all while designing pricing structures that fairly reflect risk and value. Mispricing these factors can lead to instability, whether through underestimating technical limitations or overexposing to single-ecosystem dependencies.
Walrus approaches this problem through a structured, data-driven approach to risk and pricing. Rather than relying on broad assumptions, the team quantifies risks across three dimensions: technology, ecosystem, and business. On the technical side, RedStuff’s 2D erasure coding delivers efficiency and cost benefits, but its dependence on Sui’s consensus mechanisms reduces autonomy and can amplify latency under high network load. Ecosystem dependence is similarly quantified: a large portion of users, revenue, and partnerships exist within the Sui ecosystem, creating potential vulnerability if the ecosystem faces regulatory or competitive pressures. Commercially, revenue is concentrated in AI and RWA scenarios, mostly from smaller institutions, leaving exposure to cyclical downturns and client default.
From these insights, Walrus designs differentiated pricing strategies. AI storage services combine base pricing, risk-adjusted premiums, and value-added fees to cover operational risk while monetizing specialized services like access control and compute integration. RWA storage applies process-based fees, compliance premiums, and token-based binding to mitigate regulatory and asset transfer risks. These approaches aim to balance risk coverage and revenue, without overextending the project.
There are clear positives in this approach. By tying pricing to quantified risks and multiple revenue levers, Walrus can make informed trade-offs and avoid some common pitfalls of unbalanced growth. At the same time, risks remain. Heavy reliance on a single ecosystem and concentrated commercial scenarios could amplify external shocks, and scaling technical operations globally is constrained by node deployment costs and complexity.
Walrus also actively hedges risks. Cross-ecosystem onboarding incentives, node subsidies, token buybacks, and scenario diversification all serve to reduce vulnerability, but these strategies take time to materialize and require ongoing adjustments. Nothing is guaranteed, and outcomes will depend on execution and broader market conditions.
Looking ahead, the future of Walrus’s risk pricing system depends on its ability to adapt and iterate. If cross-ecosystem expansion succeeds, node deployment scales, and scenario coverage diversifies, the team could strengthen its pricing and operational model, potentially setting a benchmark in Web3 storage. But uncertainty remains, and results will only become clear over time.
In short, Walrus exemplifies a methodical, risk-conscious approach to pricing in Web3 storage—turning careful quantification into operational and commercial guidance—without promising certainty or effortless success.
#walrus $WAL @Walrus 🦭/acc
#MarketRebound #StrategyBTCPurchase #WriteToEarnUpgrade #CPIWatch
The challenge lies in the complexity of Web3 storage itself. Projects must navigate technical dependencies, ecosystem reliance, and commercial uncertainties, all while designing pricing structures that fairly reflect risk and value. Mispricing these factors can lead to instability, whether through underestimating technical limitations or overexposing to single-ecosystem dependencies.
Walrus approaches this problem through a structured, data-driven approach to risk and pricing. Rather than relying on broad assumptions, the team quantifies risks across three dimensions: technology, ecosystem, and business. On the technical side, RedStuff’s 2D erasure coding delivers efficiency and cost benefits, but its dependence on Sui’s consensus mechanisms reduces autonomy and can amplify latency under high network load. Ecosystem dependence is similarly quantified: a large portion of users, revenue, and partnerships exist within the Sui ecosystem, creating potential vulnerability if the ecosystem faces regulatory or competitive pressures. Commercially, revenue is concentrated in AI and RWA scenarios, mostly from smaller institutions, leaving exposure to cyclical downturns and client default.
From these insights, Walrus designs differentiated pricing strategies. AI storage services combine base pricing, risk-adjusted premiums, and value-added fees to cover operational risk while monetizing specialized services like access control and compute integration. RWA storage applies process-based fees, compliance premiums, and token-based binding to mitigate regulatory and asset transfer risks. These approaches aim to balance risk coverage and revenue, without overextending the project.
There are clear positives in this approach. By tying pricing to quantified risks and multiple revenue levers, Walrus can make informed trade-offs and avoid some common pitfalls of unbalanced growth. At the same time, risks remain. Heavy reliance on a single ecosystem and concentrated commercial scenarios could amplify external shocks, and scaling technical operations globally is constrained by node deployment costs and complexity.
Walrus also actively hedges risks. Cross-ecosystem onboarding incentives, node subsidies, token buybacks, and scenario diversification all serve to reduce vulnerability, but these strategies take time to materialize and require ongoing adjustments. Nothing is guaranteed, and outcomes will depend on execution and broader market conditions.
Looking ahead, the future of Walrus’s risk pricing system depends on its ability to adapt and iterate. If cross-ecosystem expansion succeeds, node deployment scales, and scenario coverage diversifies, the team could strengthen its pricing and operational model, potentially setting a benchmark in Web3 storage. But uncertainty remains, and results will only become clear over time.
In short, Walrus exemplifies a methodical, risk-conscious approach to pricing in Web3 storage—turning careful quantification into operational and commercial guidance—without promising certainty or effortless success.
#walrus $WAL @Walrus 🦭/acc
#MarketRebound #StrategyBTCPurchase #WriteToEarnUpgrade #CPIWatch
Traducir
AI and RWA storage pricing is designed to cover risk costs while monetizing value-added services and compliance, diversifying revenue.#walrus $WAL @Walrus 🦭/acc
#MarketRebound #StrategyBTCPurchase #USJobsData #WriteToEarnUpgrade
#MarketRebound #StrategyBTCPurchase #USJobsData #WriteToEarnUpgrade
Traducir
Testing Dusk After Mainnet: A Practical Look at Privacy, Compliance, and What Still Needs Time
In the real world, financial privacy is ordinary, not exceptional. Bank balances, trades, and positions are not broadcast publicly, yet they remain auditable under legal frameworks. On-chain finance, however, has struggled to replicate this balance, often forcing users and institutions to choose between transparency and confidentiality.
That tension is what pushed me to stress-test Dusk’s mainnet only days after its launch in January 2026. I am not an institution or a large capital holder—just a researcher with a long-standing interest in privacy technology and zero-knowledge systems. I had followed Dusk through its testnet phase, but the mainnet launch raised a more serious question: is this a real step forward for privacy DeFi, or simply a well-packaged technical narrative?
The problem Dusk is addressing is well-known but unresolved. Public blockchains expose transaction data by default, which is incompatible with how real financial activity operates. Privacy-first chains, on the other hand, often face regulatory resistance or lack credible paths for institutional adoption. As regulation tightens under frameworks like MiCA in Europe and increased scrutiny in the U.S., institutions want to move on-chain but cannot accept full public disclosure of financial data. Most platforms solve only half of this equation.
Dusk’s approach is to treat confidentiality as the default while preserving auditability through defined access. Its EVM-compatible environment supports confidential smart contracts where transaction details and state variables are encrypted before reaching the ledger. Validators can still verify correctness using zero-knowledge proofs, and specific data can be decrypted by authorized parties under controlled conditions. This design does not promise regulatory immunity, but it attempts to align on-chain execution with how regulated finance already works.
After the mainnet went live, I deployed simple contracts, transferred $DUSK between wallets, and replicated private DeFi logic I had tested earlier. The experience was notably smooth: transaction finality was fast, fees were low, and amounts were invisible on-chain unless decrypted by the key holder. Compared with earlier privacy chains—where latency, complexity, or usability often dominated—privacy here felt native rather than an added layer.
One clear positive is usability. The documentation is readable, the SDK lowers the barrier for developers without deep cryptographic backgrounds, and confidential logic does not require complex external tooling. For developers and researchers, this makes experimentation practical rather than theoretical.
One clear risk is maturity. The mainnet is still new, liquidity is limited, node distribution is uneven geographically, and tooling is evolving quickly. Regulatory interpretation of privacy-preserving systems can also shift unexpectedly, regardless of how thoughtfully they are designed. These are not hypothetical concerns, but normal constraints for an early-stage network.
None of this resolves overnight. Adoption, institutional participation, and regulatory clarity will take time, and some assumptions may prove wrong. For now, Dusk functions as a serious attempt to reconcile privacy and compliance rather than ignoring one for the other.
If regulatory conditions remain supportive and real-world assets continue moving on-chain, Dusk could become a meaningful infrastructure layer for confidential finance. If those conditions fail to materialize, it will still stand as an important experiment in how privacy can be engineered responsibly. The outcome depends less on promises and more on how the system performs under sustained, real-world use.
#dusk $DUSK @Dusk
#MarketRebound #StrategyBTCPurchase #WriteToEarnUpgrade #CPIWatch
That tension is what pushed me to stress-test Dusk’s mainnet only days after its launch in January 2026. I am not an institution or a large capital holder—just a researcher with a long-standing interest in privacy technology and zero-knowledge systems. I had followed Dusk through its testnet phase, but the mainnet launch raised a more serious question: is this a real step forward for privacy DeFi, or simply a well-packaged technical narrative?
The problem Dusk is addressing is well-known but unresolved. Public blockchains expose transaction data by default, which is incompatible with how real financial activity operates. Privacy-first chains, on the other hand, often face regulatory resistance or lack credible paths for institutional adoption. As regulation tightens under frameworks like MiCA in Europe and increased scrutiny in the U.S., institutions want to move on-chain but cannot accept full public disclosure of financial data. Most platforms solve only half of this equation.
Dusk’s approach is to treat confidentiality as the default while preserving auditability through defined access. Its EVM-compatible environment supports confidential smart contracts where transaction details and state variables are encrypted before reaching the ledger. Validators can still verify correctness using zero-knowledge proofs, and specific data can be decrypted by authorized parties under controlled conditions. This design does not promise regulatory immunity, but it attempts to align on-chain execution with how regulated finance already works.
After the mainnet went live, I deployed simple contracts, transferred $DUSK between wallets, and replicated private DeFi logic I had tested earlier. The experience was notably smooth: transaction finality was fast, fees were low, and amounts were invisible on-chain unless decrypted by the key holder. Compared with earlier privacy chains—where latency, complexity, or usability often dominated—privacy here felt native rather than an added layer.
One clear positive is usability. The documentation is readable, the SDK lowers the barrier for developers without deep cryptographic backgrounds, and confidential logic does not require complex external tooling. For developers and researchers, this makes experimentation practical rather than theoretical.
One clear risk is maturity. The mainnet is still new, liquidity is limited, node distribution is uneven geographically, and tooling is evolving quickly. Regulatory interpretation of privacy-preserving systems can also shift unexpectedly, regardless of how thoughtfully they are designed. These are not hypothetical concerns, but normal constraints for an early-stage network.
None of this resolves overnight. Adoption, institutional participation, and regulatory clarity will take time, and some assumptions may prove wrong. For now, Dusk functions as a serious attempt to reconcile privacy and compliance rather than ignoring one for the other.
If regulatory conditions remain supportive and real-world assets continue moving on-chain, Dusk could become a meaningful infrastructure layer for confidential finance. If those conditions fail to materialize, it will still stand as an important experiment in how privacy can be engineered responsibly. The outcome depends less on promises and more on how the system performs under sustained, real-world use.
#dusk $DUSK @Dusk
#MarketRebound #StrategyBTCPurchase #WriteToEarnUpgrade #CPIWatch
Ver original
Walrus a través de una lente fundamental: una estrategia de infraestructura construida sobre acoplamiento, no sobre moda
Una realidad recurrente en la infraestructura de Web3 es que la tecnología sólida por sí sola rara vez determina el éxito a largo plazo. Lo que finalmente importa es si el diseño técnico, la posicionamiento del ecosistema y los incentivos comerciales se refuerzan mutuamente con el tiempo. Muchos protocolos de almacenamiento fallan no porque les falte innovación, sino porque estos elementos evolucionan de forma aislada.
Walrus entra en un panorama de almacenamiento descentralizado muy concurrido donde persisten dos problemas estructurales. Primero, los sistemas de almacenamiento a menudo tienen dificultades para integrarse de forma fluida con los ecosistemas de aplicaciones sin renunciar al control técnico. Segundo, incluso cuando se produce la adopción, el uso del ecosistema frecuentemente no se traduce en ingresos comerciales sostenibles. Estas brechas explican por qué muchos proyectos muestran tracción inicial pero aún no alcanzan una escala significativa.
Walrus entra en un panorama de almacenamiento descentralizado muy concurrido donde persisten dos problemas estructurales. Primero, los sistemas de almacenamiento a menudo tienen dificultades para integrarse de forma fluida con los ecosistemas de aplicaciones sin renunciar al control técnico. Segundo, incluso cuando se produce la adopción, el uso del ecosistema frecuentemente no se traduce en ingresos comerciales sostenibles. Estas brechas explican por qué muchos proyectos muestran tracción inicial pero aún no alcanzan una escala significativa.
Traducir
Walrus hedges risk via cross-ecosystem incentives, node subsidies, and token mechanisms, though scaling globally remains a challenge.#walrus $WAL @Walrus 🦭/acc
#MarketRebound #StrategyBTCPurchase #CPIWatch #BinanceHODLerBREV
#MarketRebound #StrategyBTCPurchase #CPIWatch #BinanceHODLerBREV
Ver original
Dusk no está diseñado para ciclos de trading emocionales. Está diseñado para capital paciente, lógica institucional y activos del mundo real. A medida que la cadena de bloques se convierte en infraestructura, sus decisiones de diseño se vuelven evidentes.$DUSK #dusk @Dusk
#MarketRebound #BTC100kNext? #StrategyBTCPurchase #WriteToEarnUpgrade
#MarketRebound #BTC100kNext? #StrategyBTCPurchase #WriteToEarnUpgrade
Ver original
Construyendo un contrato privado de activos reales en Dusk: Apuntes de un desarrollador de fin de semana
En los sistemas financieros reales, la mayor parte de la actividad no es ni completamente pública ni completamente oculta. Las transacciones son confidenciales por defecto, pero auditables cuando sea necesario. Este equilibrio sigue siendo difícil de lograr en cadena, y para los desarrolladores a menudo se convierte en una elección entre privacidad, usabilidad y realismo regulatorio.
Esa tensión fue lo que me impulsó a pasar un fin de semana de invierno experimentando con la red principal recién lanzada de Dusk. No soy ingeniero de blockchain profesional; mi formación es en desarrollo backend de Web2, y mi conocimiento sobre Solidity y sistemas de conocimiento cero proviene de estudios realizados en mi tiempo libre. Aun así, tras seguir el progreso de Dusk durante más de un año, quise ver si su idea de contratos inteligentes "confidenciales pero cumplidores" podía funcionar realmente fuera de una red de pruebas.
Esa tensión fue lo que me impulsó a pasar un fin de semana de invierno experimentando con la red principal recién lanzada de Dusk. No soy ingeniero de blockchain profesional; mi formación es en desarrollo backend de Web2, y mi conocimiento sobre Solidity y sistemas de conocimiento cero proviene de estudios realizados en mi tiempo libre. Aun así, tras seguir el progreso de Dusk durante más de un año, quise ver si su idea de contratos inteligentes "confidenciales pero cumplidores" podía funcionar realmente fuera de una red de pruebas.
Traducir
The future depends on execution: expanding scenarios, scaling nodes, and ecosystem diversification could strengthen Walrus’s pricing model.#walrus $WAL @Walrus 🦭/acc
#MarketRebound #StrategyBTCPurchase #WriteToEarnUpgrade #CPIWatch
#MarketRebound #StrategyBTCPurchase #WriteToEarnUpgrade #CPIWatch
Ver original
RWA no tendrá éxito en cadenas que ignoren la regulación. Los activos deben ser rastreables, los riesgos manejables y las normas aplicables. Dusk reservó espacio estructural para este futuro antes de que el mercado lo exigiera.$DUSK #dusk @Dusk
#MarketRebound #StrategyBTCPurchase #USNonFarmPayrollReport #WriteToEarnUpgrade
#MarketRebound #StrategyBTCPurchase #USNonFarmPayrollReport #WriteToEarnUpgrade
Ver original
Una observación práctica antes del análisis
La mayoría de las aplicaciones Web3 aún dependen de almacenamiento centralizado en algún punto crítico. La propiedad puede ser descentralizada y la ejecución puede estar en cadena, pero si la disponibilidad de datos depende de un solo servidor, la resiliencia del sistema es solo parcial. Esta brecha entre el cálculo descentralizado y el almacenamiento centralizado sigue siendo uno de los problemas estructurales menos resueltos en Web3.
El morsa se coloca dentro de esta brecha. Más que presentarse como un avance o una solución universal, intenta alinear la infraestructura de almacenamiento con las necesidades reales de las aplicaciones, especialmente dentro de los casos de uso de IA y activos del mundo real (RWA), mediante una integración estrecha de tecnología, acceso al ecosistema e incentivos comerciales.
El morsa se coloca dentro de esta brecha. Más que presentarse como un avance o una solución universal, intenta alinear la infraestructura de almacenamiento con las necesidades reales de las aplicaciones, especialmente dentro de los casos de uso de IA y activos del mundo real (RWA), mediante una integración estrecha de tecnología, acceso al ecosistema e incentivos comerciales.
Ver original
Ver original
Encontrando un punto medio entre la privacidad y la finanza real: reflexiones tras el anochecer del mainnet de Dusk
LanzamientoLa finanza real siempre ha operado bajo un principio sencillo: la confidencialidad no significa falta de supervisión, y la transparencia no requiere exposición pública. Sin embargo, en el DeFi, los usuarios han estado mucho tiempo obligados a elegir entre privacidad y participación.
Ese compromiso ha moldeado gran parte de mi propia historia en cripto. El DeFi temprano ofreció acceso abierto y rendimiento, pero cada acción era permanentemente visible. Las monedas de privacidad resolvieron la visibilidad, pero introdujeron nuevos riesgos: liquidez débil, presión regulatoria y caminos limitados de regreso a los mercados financieros reales. Existían productos institucionales, pero con umbrales de entrada y estructuras que los hacían inaccesibles para la mayoría de los participantes.
Ese compromiso ha moldeado gran parte de mi propia historia en cripto. El DeFi temprano ofreció acceso abierto y rendimiento, pero cada acción era permanentemente visible. Las monedas de privacidad resolvieron la visibilidad, pero introdujeron nuevos riesgos: liquidez débil, presión regulatoria y caminos limitados de regreso a los mercados financieros reales. Existían productos institucionales, pero con umbrales de entrada y estructuras que los hacían inaccesibles para la mayoría de los participantes.
Ver original
$ICP se mueve limpiamente en una fuerte tendencia al alza, registrando máximos más altos con solo retrocesos superficiales. Los compradores siguen firmemente en control, y el precio mantiene su fortaleza tras un fuerte impulso — una estructura que a menudo conduce a una continuación adicional.
Entrada: 3.95 – 4.05
SL: 3.75
TPs: 4.30 → 4.60 → 5.00
Estructura sencilla, fuerte impulso. Deja que la tendencia haga el trabajo.
Operación aquí 👇
#icp #MarketRebound #WriteToEarnUpgrade #CPIWatch #USJobsData
Entrada: 3.95 – 4.05
SL: 3.75
TPs: 4.30 → 4.60 → 5.00
Estructura sencilla, fuerte impulso. Deja que la tendencia haga el trabajo.
Operación aquí 👇
#icp #MarketRebound #WriteToEarnUpgrade #CPIWatch #USJobsData
Ver original
$BLUR vio una fuerte rechazo tras su reciente aumento, pero la estructura general sigue pareciendo prometedora. El precio actualmente se encuentra en 0,03936 dólares, con un aumento del 24,40%. A pesar de la corrección, las medias móviles clave siguen en orden alcista.
Este es un posible planteamiento de operación:
· Considera una entrada LONG entre 0,0380 y 0,0395 dólares
· Objetivos de Ganancia:
· TP1: 0,0420 dólares
· TP2: 0,0455 dólares
· TP3: 0,0490 dólares
· Coloca una orden de Stop Loss en 0,0358 dólares
La tendencia sigue siendo constructiva mientras el precio se mantenga por encima de la zona de 0,038 dólares. La consolidación alrededor de estos niveles podría preparar el escenario para otro intento de romper hacia la máxima reciente cercana a 0,044 dólares.
Operación aquí 👇
#MarketRebound #StrategyBTCPurchase #USNonFarmPayrollReport #BTCVSGOLD #WriteToEarnUpgrade
Este es un posible planteamiento de operación:
· Considera una entrada LONG entre 0,0380 y 0,0395 dólares
· Objetivos de Ganancia:
· TP1: 0,0420 dólares
· TP2: 0,0455 dólares
· TP3: 0,0490 dólares
· Coloca una orden de Stop Loss en 0,0358 dólares
La tendencia sigue siendo constructiva mientras el precio se mantenga por encima de la zona de 0,038 dólares. La consolidación alrededor de estos niveles podría preparar el escenario para otro intento de romper hacia la máxima reciente cercana a 0,044 dólares.
Operación aquí 👇
#MarketRebound #StrategyBTCPurchase #USNonFarmPayrollReport #BTCVSGOLD #WriteToEarnUpgrade
Inicia sesión para explorar más contenidos