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Trust in Motion APRO s Evolution into a Core Pillar of the Decentralized WebIn the evolving ecosystem of blockchain technology, where many projects chase headlines and short‑lived market attention, APRO stands out by building steadily, deeply, and with an eye toward long‑term utility over flash. What might at first have looked like just another oracle in a crowded space has, over time, grown into a sophisticated, multi‑faceted data delivery network that increasingly underpins real‑world applications across decentralized finance, tokenized assets, AI‑driven systems, and more. Its progress hasn’t been about dramatic announcements as much as it has been about layer upon layer of innovation that quietly expands what is possible when external data needs to interact seamlessly and securely with on‑chain logic. When one observes the technical architecture of APRO, the intention behind its design becomes clear. At a foundational level, the project confronts one of blockchain’s most enduring challenges: how to convey trusted, verifiable external information into systems that demand certainty. To do this, APRO does not rely solely on a single model of data ingestion or a single source of truth. Instead, it offers a hybrid approach that combines off‑chain processing and on‑chain verification, a duality that allows for both breadth and integrity in data feeds. This is reflected in its two distinct mechanisms for delivering data: Data Push and Data Pull. The push model continuously streams updates that are aggregated by decentralized node operators and committed on chain when certain thresholds or intervals are met, making it suitable for situations that require ongoing clarity and timely updates. The pull model, on the other hand, is used when applications need to fetch real‑time information on demand—ideal for cost‑sensitive contexts, where fetching data only at the moment it’s needed reduces unnecessary on‑chain activity and associated costs. In both approaches, careful design ensures that data remains cryptographically verified, tamper‑resistant, and aligned with the decentralized philosophy underpinning blockchain systems. Over time, these models have evolved beyond simple price feeds. By integrating advanced computational layers and machine learning‑assisted validation, APRO has built an oracle that seeks not just to relay data, but to provide vetted, high‑confidence information. This focus on data quality isn’t just a technical detail; it is a foundational commitment to trustworthiness. As decentralized finance protocols and sophisticated smart contracts increasingly make decisions based on conditional triggers, margin requirements, and automated settlements, the accuracy and reliability of the inputs matter profoundly. APRO’s design layers algorithmic analysis and decentralized consensus in a way that filters out noise and highlights stability, reducing the potential for errors or manipulation. A particularly notable dimension of APRO’s evolution is its expansion into real‑world asset tokenization. Traditional oracles historically focused on numeric price feeds—cryptocurrency pairs, indices, or commodities. But the real world is rarely expressed in neat numbers alone. Tokenizing assets such as equities, bonds, real estate indices, or commodities entails grappling with documents, legal attestations, reserve confirmations, financial records, and more. APRO’s Real‑World Asset (RWA) Oracle is designed to extend the concept of oracles into this realm by combining AI‑enhanced analysis with decentralized verification. Through the use of sophisticated extraction techniques and consensus mechanisms, the network can parse and interpret complex data artifacts, providing proof‑backed valuation information that can be consumed by decentralized applications. This approach recognizes that mainstream institutional participation in tokenized markets depends on verifiable provenance, auditability, and data integrity—that is to say, trust. Parallel to its deepening technical capabilities, APRO has broadened its developer footprint. From initially serving basic feed functions, the project now supports an expansive array of data streams across more than forty blockchain networks, offering well over a thousand individual feeds. These include prices for cryptocurrencies, equities, commodities, and asset indices, but also encompass the kinds of structured and unstructured data needed for more complex decision logic in smart contracts and composable systems. For builders, this means that integrating APRO isn’t simply about adding another provider of external data; it’s about enabling applications that rely on real‑time, accurate, and verified information across environments and consensus layers without having to construct and maintain complex oracle infrastructure themselves. The project’s growth in developer adoption has in turn created a virtuous cycle of feedback and refinement. Real usage surfaces edge cases that can be addressed by iterative upgrades, pushing the protocol toward greater robustness and flexibility. What begins as a feed for price oracles can evolve into an input for an AI‑driven risk model or a conditional execution in a decentralized derivatives contract. With each integration, APRO gains insights into how to improve its mechanisms for verification, scalability, and performance, all while fostering an ecosystem that increasingly relies on its services. The broader ecosystem has taken note as well. APRO’s rollout of Oracle‑as‑a‑Service on prominent blockchain networks highlights its transition from protocol to infrastructure provider. In late 2025, the deployment of Oracle‑as‑a‑Service on a major smart contract platform brought multi‑source, verifiable data feeds directly to a broad developer base without the overhead of managing oracle networks on their own. This included API subscription models, AI‑enhanced validation processes, and immutable storage techniques that ensure long‑term auditability of data attestations. These developments reflect not just technical maturity but also strategic positioning: APRO is stepping into roles traditionally occupied by middleware infrastructure, bridging data demands with decentralized execution in a way that reduces friction for builders. Underpinning this expansion is the AT token, the economic heart of the APRO ecosystem. Far from being a mere speculative instrument, the token serves core functions essential to the network’s operation. It underwrites staking and rewards for node operators, incentivizing them to provide accurate, timely data updates and participate in consensus mechanisms that enforce the integrity of the information delivered. It powers governance mechanisms that give stakeholders a voice in the development of protocols and incentives, from feed expansion decisions to system parameters that balance cost and quality. Tokenomics publicly documented suggest structured allocations to staking rewards, team and ecosystem incentives, and other strategic deployments designed to promote long‑term stability and development. By aligning economic rewards with the quality of service, the AT token serves as more than a unit of account—it becomes a tool for decentralized coordination and trust. Importantly, the project’s evolutionary path hasn’t relied solely on organic growth. APRO has attracted strategic investment and attention from established players in the broader blockchain and Web3 ecosystem. A significant round of funding led by web3 accelerator programs and venture groups not only brought capital but also access to expertise that can accelerate product refinement and global outreach. These strategic backers see in APRO the infrastructure potential that extends across emerging decentralized applications, from prediction markets and financial systems to AI‑integrated applications and RWA platforms where dependable external data is a prerequisite for meaningful adoption. Looking toward the future, APRO seems to be charting a course that embraces even more complex data paradigms. The emergence of its AI Oracle functionality—designed to service AI models and autonomous agents with real‑time, verified data—illustrates a recognition that decentralized systems are increasingly converging with artificial intelligence. AI models, particularly large language models and autonomous agent systems, lack native access to live, cryptographically trusted data; integrating oracle services with decentralized verification solves a fundamental gap in AI‑blockchain synergy. This development suggests not only a widening of APRO’s service scope but also a positioning around future use cases where smart systems require both on‑chain trust and off‑chain context to function effectively. The narrative of APRO’s growth is not without its challenges. Oracles operate at a nexus where incentives, security, and correctness intersect, and any compromise in data integrity can ripple through dependent systems. The introduction of more complex non‑numeric data sources, AI agents, and RWA attestations introduces new layers of complexity that require continual refinement of consensus mechanisms, reputation systems, and validation processes. Furthermore, as APRO enters domains that border on regulatory oversight—such as institutional RWA tokenization—the demands of compliance, auditability, and legal clarity become as important as cryptographic trust. How these elements are handled will be crucial to the project’s broader adoption in regulated markets. Yet for all these challenges, what stands out is that APRO’s evolution has followed a deliberate arc from simple oracle feeds to a comprehensive data infrastructure platform. It has moved from providing basic price data to enabling complex, AI‑augmented verification and document interpretation at scale. Its ecosystem penetration across multiple chains, its expanding suite of data offerings, and its developer‑centric tooling all point toward a future where APRO is not just a provider of external information, but a foundational layer upon which a new generation of decentralized applications is built. Its journey is a reminder that in the layered world of blockchain infrastructure, real impact is often borne not through noise but through quietly persistent refinement—an evolution that prepares systems for real economic activity and real world complexity rather than transient speculative attention. @APRO-Oracle $AT #APRO

Trust in Motion APRO s Evolution into a Core Pillar of the Decentralized Web

In the evolving ecosystem of blockchain technology, where many projects chase headlines and short‑lived market attention, APRO stands out by building steadily, deeply, and with an eye toward long‑term utility over flash. What might at first have looked like just another oracle in a crowded space has, over time, grown into a sophisticated, multi‑faceted data delivery network that increasingly underpins real‑world applications across decentralized finance, tokenized assets, AI‑driven systems, and more. Its progress hasn’t been about dramatic announcements as much as it has been about layer upon layer of innovation that quietly expands what is possible when external data needs to interact seamlessly and securely with on‑chain logic.

When one observes the technical architecture of APRO, the intention behind its design becomes clear. At a foundational level, the project confronts one of blockchain’s most enduring challenges: how to convey trusted, verifiable external information into systems that demand certainty. To do this, APRO does not rely solely on a single model of data ingestion or a single source of truth. Instead, it offers a hybrid approach that combines off‑chain processing and on‑chain verification, a duality that allows for both breadth and integrity in data feeds. This is reflected in its two distinct mechanisms for delivering data: Data Push and Data Pull. The push model continuously streams updates that are aggregated by decentralized node operators and committed on chain when certain thresholds or intervals are met, making it suitable for situations that require ongoing clarity and timely updates. The pull model, on the other hand, is used when applications need to fetch real‑time information on demand—ideal for cost‑sensitive contexts, where fetching data only at the moment it’s needed reduces unnecessary on‑chain activity and associated costs. In both approaches, careful design ensures that data remains cryptographically verified, tamper‑resistant, and aligned with the decentralized philosophy underpinning blockchain systems.

Over time, these models have evolved beyond simple price feeds. By integrating advanced computational layers and machine learning‑assisted validation, APRO has built an oracle that seeks not just to relay data, but to provide vetted, high‑confidence information. This focus on data quality isn’t just a technical detail; it is a foundational commitment to trustworthiness. As decentralized finance protocols and sophisticated smart contracts increasingly make decisions based on conditional triggers, margin requirements, and automated settlements, the accuracy and reliability of the inputs matter profoundly. APRO’s design layers algorithmic analysis and decentralized consensus in a way that filters out noise and highlights stability, reducing the potential for errors or manipulation.

A particularly notable dimension of APRO’s evolution is its expansion into real‑world asset tokenization. Traditional oracles historically focused on numeric price feeds—cryptocurrency pairs, indices, or commodities. But the real world is rarely expressed in neat numbers alone. Tokenizing assets such as equities, bonds, real estate indices, or commodities entails grappling with documents, legal attestations, reserve confirmations, financial records, and more. APRO’s Real‑World Asset (RWA) Oracle is designed to extend the concept of oracles into this realm by combining AI‑enhanced analysis with decentralized verification. Through the use of sophisticated extraction techniques and consensus mechanisms, the network can parse and interpret complex data artifacts, providing proof‑backed valuation information that can be consumed by decentralized applications. This approach recognizes that mainstream institutional participation in tokenized markets depends on verifiable provenance, auditability, and data integrity—that is to say, trust.

Parallel to its deepening technical capabilities, APRO has broadened its developer footprint. From initially serving basic feed functions, the project now supports an expansive array of data streams across more than forty blockchain networks, offering well over a thousand individual feeds. These include prices for cryptocurrencies, equities, commodities, and asset indices, but also encompass the kinds of structured and unstructured data needed for more complex decision logic in smart contracts and composable systems. For builders, this means that integrating APRO isn’t simply about adding another provider of external data; it’s about enabling applications that rely on real‑time, accurate, and verified information across environments and consensus layers without having to construct and maintain complex oracle infrastructure themselves.

The project’s growth in developer adoption has in turn created a virtuous cycle of feedback and refinement. Real usage surfaces edge cases that can be addressed by iterative upgrades, pushing the protocol toward greater robustness and flexibility. What begins as a feed for price oracles can evolve into an input for an AI‑driven risk model or a conditional execution in a decentralized derivatives contract. With each integration, APRO gains insights into how to improve its mechanisms for verification, scalability, and performance, all while fostering an ecosystem that increasingly relies on its services.

The broader ecosystem has taken note as well. APRO’s rollout of Oracle‑as‑a‑Service on prominent blockchain networks highlights its transition from protocol to infrastructure provider. In late 2025, the deployment of Oracle‑as‑a‑Service on a major smart contract platform brought multi‑source, verifiable data feeds directly to a broad developer base without the overhead of managing oracle networks on their own. This included API subscription models, AI‑enhanced validation processes, and immutable storage techniques that ensure long‑term auditability of data attestations. These developments reflect not just technical maturity but also strategic positioning: APRO is stepping into roles traditionally occupied by middleware infrastructure, bridging data demands with decentralized execution in a way that reduces friction for builders.

Underpinning this expansion is the AT token, the economic heart of the APRO ecosystem. Far from being a mere speculative instrument, the token serves core functions essential to the network’s operation. It underwrites staking and rewards for node operators, incentivizing them to provide accurate, timely data updates and participate in consensus mechanisms that enforce the integrity of the information delivered. It powers governance mechanisms that give stakeholders a voice in the development of protocols and incentives, from feed expansion decisions to system parameters that balance cost and quality. Tokenomics publicly documented suggest structured allocations to staking rewards, team and ecosystem incentives, and other strategic deployments designed to promote long‑term stability and development. By aligning economic rewards with the quality of service, the AT token serves as more than a unit of account—it becomes a tool for decentralized coordination and trust.

Importantly, the project’s evolutionary path hasn’t relied solely on organic growth. APRO has attracted strategic investment and attention from established players in the broader blockchain and Web3 ecosystem. A significant round of funding led by web3 accelerator programs and venture groups not only brought capital but also access to expertise that can accelerate product refinement and global outreach. These strategic backers see in APRO the infrastructure potential that extends across emerging decentralized applications, from prediction markets and financial systems to AI‑integrated applications and RWA platforms where dependable external data is a prerequisite for meaningful adoption.

Looking toward the future, APRO seems to be charting a course that embraces even more complex data paradigms. The emergence of its AI Oracle functionality—designed to service AI models and autonomous agents with real‑time, verified data—illustrates a recognition that decentralized systems are increasingly converging with artificial intelligence. AI models, particularly large language models and autonomous agent systems, lack native access to live, cryptographically trusted data; integrating oracle services with decentralized verification solves a fundamental gap in AI‑blockchain synergy. This development suggests not only a widening of APRO’s service scope but also a positioning around future use cases where smart systems require both on‑chain trust and off‑chain context to function effectively.

The narrative of APRO’s growth is not without its challenges. Oracles operate at a nexus where incentives, security, and correctness intersect, and any compromise in data integrity can ripple through dependent systems. The introduction of more complex non‑numeric data sources, AI agents, and RWA attestations introduces new layers of complexity that require continual refinement of consensus mechanisms, reputation systems, and validation processes. Furthermore, as APRO enters domains that border on regulatory oversight—such as institutional RWA tokenization—the demands of compliance, auditability, and legal clarity become as important as cryptographic trust. How these elements are handled will be crucial to the project’s broader adoption in regulated markets.

Yet for all these challenges, what stands out is that APRO’s evolution has followed a deliberate arc from simple oracle feeds to a comprehensive data infrastructure platform. It has moved from providing basic price data to enabling complex, AI‑augmented verification and document interpretation at scale. Its ecosystem penetration across multiple chains, its expanding suite of data offerings, and its developer‑centric tooling all point toward a future where APRO is not just a provider of external information, but a foundational layer upon which a new generation of decentralized applications is built. Its journey is a reminder that in the layered world of blockchain infrastructure, real impact is often borne not through noise but through quietly persistent refinement—an evolution that prepares systems for real economic activity and real world complexity rather than transient speculative attention.

@APRO Oracle
$AT
#APRO
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Dall'Oblio all'Infrastruttura: il Percorso Costante di APRO verso l'Affidabilità della BlockchainIn ogni ciclo tecnologico, ci sono progetti che emergono rapidamente su onde di attenzione e altri che avanzano con un impulso quasi impercettibile, rafforzandosi strato dopo strato fino a quando la loro presenza diventa innegabile. APRO appartiene a quest'ultimo gruppo. La sua evoluzione non è stata plasmata dallo spettacolo o da narrazioni aggressive, ma da una comprensione quasi classica dell'infrastruttura: se le fondamenta sono solide, la struttura sopra di essa resisterà. Nel tempo, questa filosofia ha permesso ad APRO di maturare in una rete oracolare sofisticata la cui rilevanza cresce non perché richiede attenzione, ma perché più sistemi si affidano silenziosamente ad essa.

Dall'Oblio all'Infrastruttura: il Percorso Costante di APRO verso l'Affidabilità della Blockchain

In ogni ciclo tecnologico, ci sono progetti che emergono rapidamente su onde di attenzione e altri che avanzano con un impulso quasi impercettibile, rafforzandosi strato dopo strato fino a quando la loro presenza diventa innegabile. APRO appartiene a quest'ultimo gruppo. La sua evoluzione non è stata plasmata dallo spettacolo o da narrazioni aggressive, ma da una comprensione quasi classica dell'infrastruttura: se le fondamenta sono solide, la struttura sopra di essa resisterà. Nel tempo, questa filosofia ha permesso ad APRO di maturare in una rete oracolare sofisticata la cui rilevanza cresce non perché richiede attenzione, ma perché più sistemi si affidano silenziosamente ad essa.
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$C98 – Configurazione di Compressione Intervallo ristretto, costruzione della volatilità. EP: 0.0228 – 0.0242 TP: 0.0270 / 0.0305 SL: 0.0216 Bias: Gioco di espansione.
$C98 – Configurazione di Compressione
Intervallo ristretto, costruzione della volatilità.
EP: 0.0228 – 0.0242
TP: 0.0270 / 0.0305
SL: 0.0216
Bias: Gioco di espansione.
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$RIF – Ripresa della tendenza Minimi più alti che tengono saldamente. EP: 0.0348 – 0.0362 TP: 0.0405 / 0.0460 SL: 0.0332 Bias: Continuazione rialzista.
$RIF – Ripresa della tendenza
Minimi più alti che tengono saldamente.
EP: 0.0348 – 0.0362
TP: 0.0405 / 0.0460
SL: 0.0332
Bias: Continuazione rialzista.
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$T – Micro-Cap Momentum Movimento percentuale forte, gestisci il rischio. EP: 0.0084 – 0.0089 TP: 0.0098 / 0.0112 SL: 0.0079 Bias: Movimento scalp.
$T – Micro-Cap Momentum
Movimento percentuale forte, gestisci il rischio.
EP: 0.0084 – 0.0089
TP: 0.0098 / 0.0112
SL: 0.0079
Bias: Movimento scalp.
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$THE – Struttura di rottura Rottura pulita sopra l'intervallo. EP: 0.202 – 0.211 TP: 0.235 / 0.265 SL: 0.191 Bias: Rottura e mantenimento.
$THE – Struttura di rottura
Rottura pulita sopra l'intervallo.
EP: 0.202 – 0.211
TP: 0.235 / 0.265
SL: 0.191
Bias: Rottura e mantenimento.
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$GLMR – Recupero di Base Recupero da una lunga consolidazione. EP: 0.0228 – 0.0244 TP: 0.0275 / 0.0310 SL: 0.0215 Bias: Continuazione del recupero.
$GLMR – Recupero di Base
Recupero da una lunga consolidazione.
EP: 0.0228 – 0.0244
TP: 0.0275 / 0.0310
SL: 0.0215
Bias: Continuazione del recupero.
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$SYRUP – Continuazione del Momentum Grind forte con minimi più alti. EP: 0.355 – 0.370 TP: 0.405 / 0.445 SL: 0.335 Bias: Continuazione rialzista.
$SYRUP – Continuazione del Momentum
Grind forte con minimi più alti.
EP: 0.355 – 0.370
TP: 0.405 / 0.445
SL: 0.335
Bias: Continuazione rialzista.
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$TFUEL – Espansione della base Uscita dall'intervallo di accumulazione. EP: 0.0176 – 0.0183 TP: 0.0202 / 0.0228 SL: 0.0169 Bias: Tendenza rialzista a medio termine.
$TFUEL – Espansione della base
Uscita dall'intervallo di accumulazione.
EP: 0.0176 – 0.0183
TP: 0.0202 / 0.0228
SL: 0.0169
Bias: Tendenza rialzista a medio termine.
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$ONG – Tendenza di mantenimento La domanda di mantenimento è pulita sopra il supporto. EP: 0.084 – 0.087 TP: 0.095 / 0.108 SL: 0.079 Bias: Continuazione della tendenza.
$ONG – Tendenza di mantenimento
La domanda di mantenimento è pulita sopra il supporto.
EP: 0.084 – 0.087
TP: 0.095 / 0.108
SL: 0.079
Bias: Continuazione della tendenza.
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$GMX – Trend Grinder Struttura sana, nessuna stanchezza ancora. EP: 7.70 – 8.05 TP: 8.90 / 9.80 SL: 7.25 Bias: Segui il trend.
$GMX – Trend Grinder
Struttura sana, nessuna stanchezza ancora.
EP: 7.70 – 8.05
TP: 8.90 / 9.80
SL: 7.25
Bias: Segui il trend.
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$MIRA – Recupero Push Riconquistare la struttura dopo il ritracciamento. EP: 0.145 – 0.152 TP: 0.168 / 0.188 SL: 0.136 Bias: Recupero a breve termine.
$MIRA – Recupero Push
Riconquistare la struttura dopo il ritracciamento.
EP: 0.145 – 0.152
TP: 0.168 / 0.188
SL: 0.136
Bias: Recupero a breve termine.
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$ZKC – Trend Follow ZKC si muove bene con la forza del mercato. EP: 0.113 – 0.117 TP: 0.130 / 0.145 SL: 0.106 Bias: Continuazione del trend.
$ZKC – Trend Follow
ZKC si muove bene con la forza del mercato.
EP: 0.113 – 0.117
TP: 0.130 / 0.145
SL: 0.106
Bias: Continuazione del trend.
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$RESOLV – Richiedi rispetto RESOLV mantiene una forte zona di domanda. EP: 0.068 – 0.071 TP: 0.079 / 0.089 SL: 0.064 Bias: Controllo verso l'alto.
$RESOLV – Richiedi rispetto
RESOLV mantiene una forte zona di domanda.
EP: 0.068 – 0.071
TP: 0.079 / 0.089
SL: 0.064
Bias: Controllo verso l'alto.
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$BANANA – Continuazione della forza BANANA in aumento con volume costante. EP: 6.90 – 7.15 TP: 7.90 / 8.80 SL: 6.40 Bias: Continuazione del trend.
$BANANA – Continuazione della forza
BANANA in aumento con volume costante.
EP: 6.90 – 7.15
TP: 7.90 / 8.80
SL: 6.40
Bias: Continuazione del trend.
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$GMX – Lento Aumento GMX mantiene una struttura rialzista. EP: 7.70 – 8.00 TP: 8.80 / 9.80 SL: 7.20 Bias: Gioco di tendenza mid-cap.
$GMX – Lento Aumento
GMX mantiene una struttura rialzista.
EP: 7.70 – 8.00
TP: 8.80 / 9.80
SL: 7.20
Bias: Gioco di tendenza mid-cap.
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$VIC – Fase di Accumulo VIC sta lentamente superando la resistenza. EP: 0.091 – 0.095 TP: 0.105 / 0.118 SL: 0.085 Bias: rottura di accumulo.
$VIC – Fase di Accumulo
VIC sta lentamente superando la resistenza.
EP: 0.091 – 0.095
TP: 0.105 / 0.118
SL: 0.085
Bias: rottura di accumulo.
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$WAXP – Spinta costante WAXP che cresce con slancio controllato. EP: 0.0079 – 0.0082 TP: 0.0088 / 0.0096 SL: 0.0074 Bias: Lenta continuazione rialzista.
$WAXP – Spinta costante
WAXP che cresce con slancio controllato.
EP: 0.0079 – 0.0082
TP: 0.0088 / 0.0096
SL: 0.0074
Bias: Lenta continuazione rialzista.
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$LA – Tentativo di rottura dell'intervallo LA pressione del limite superiore con supporto volumetrico. EP: 0.315 – 0.325 TP: 0.355 / 0.390 SL: 0.298 Bias: impostazione di rottura e mantenimento.
$LA – Tentativo di rottura dell'intervallo
LA pressione del limite superiore con supporto volumetrico.
EP: 0.315 – 0.325
TP: 0.355 / 0.390
SL: 0.298
Bias: impostazione di rottura e mantenimento.
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$GPS – Formazione di Minimi Superiori Struttura dell'edificio GPS dopo il ritracciamento. EP: 0.0052 – 0.0054 TP: 0.0060 / 0.0067 SL: 0.0049 Bias: Continuazione a breve termine.
$GPS – Formazione di Minimi Superiori
Struttura dell'edificio GPS dopo il ritracciamento.
EP: 0.0052 – 0.0054
TP: 0.0060 / 0.0067
SL: 0.0049
Bias: Continuazione a breve termine.
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