SanSam Crypto

🔥 $POL — this is just a fake dip. RSI shows buying strength is still strong, and the upside potential remains very strong.🚀

🟢 Long $POL
• Entry: 0.1670 –0.17
• Stop Loss: 0.153
• Take Profit: 0.177 – 0.185 - 0.197

📊 On the H4 timeframe, bullish momentum still looks strong. With RSI at 61, buying pressure remains solid. Around 0.1536, price is facing a strong resistance zone, so the chance of breaking through is relatively low. However, $POL is quite volatile, so consider using leverage and capital management very safely. Good luck 💪🏻

🔥 $WAL — H2 scalp trade, a signal for the next bullish leg 🚀

🟢 Long $WAL
• Entry: 0.1436–0.142
• Stop Loss: 0.139
• Take Profit: 0.148–0.1515–0.156

On the H2 timeframe, it looks like a bullish wave is about to start, supported by resistance around the 0.141 zone, so this is definitely the next upward move after a pullback. Trust me, if you enter at the right time, you’ll make money, and a lot of it 🤑💵
$SOMI

$DUSK — bullish signal on the H2 timeframe, a game for the strong hands 💪🏻

🟢Long $DUSK
• Entry: Now
• Stop Loss: 0.056
• Take Profit: 0.059 - 0.061

The H2 timeframe is showing strong bullish momentum after a drop that touched resistance and was immediately rejected.
$WAL

Coinglass data shows:

A whale with wallet 0x94d3 has just closed long positions totaling around $380M.

Details 👇🏻
Close Long $BTC : $158.36M
Close Long $ETH : $148M
Close Long $SOL : $71.47M

That number is absolutely insane 👀

Recently, a whale opened a $BTC long position worth over $13M 🤑

The whales are very active right now 💪🏻
$ETH
$SOL

A whale just opened a $SOL long position worth $10M.

Well, well — looks like it’s whale season again 😬

$BTC
$ETH

🔥Micheal Saylor continues hinting he bought bitcoin last week

With the title "Big Orange." Likely buying another huge amount again 😄

$BTC $ETH

What Does Walrus Do When a Part of the Network Fails, How Is the Self-Recovery Mechanism Activated?

When a part of the network fails, Walrus does not wait for everything to return to normal before serving data. Instead, the system can detect disconnected nodes, slow responses, or incorrect results, then automatically redirect queries to other healthy nodes.

The self-recovery mechanism is activated in a continuous priority manner. The network can reselect a more reliable set of nodes, increase the number of data sources, and reassemble content from the remaining high-quality fragments. If some pieces are missing, Walrus can use redundant backups to compensate, allowing the file to be restored without the user even noticing.

I like the fact that failure becomes a signal for system optimization, rather than a reason to halt service. Have you ever thought a storage network could heal itself like this in just a few seconds?

$WAL #walrus @Walrus 🦭/acc

Data Integrity in Walrus, Checksums Make Unauthorized Modifications Nearly Impossible

Data integrity in Walrus comes from each piece of content being clearly associated with a verifiable trace, so even minor changes leave detectable differences. When a file is stored, the system can generate verification values for each data segment and link them to the file's identifier, thus giving the original file a unique fingerprint.

If someone attempts to secretly modify a data fragment on a node, that fragment will no longer match the expected checksum. When a user retrieves the data, the network can compare the received parts, discard the incorrect ones, and prioritize fetching from other sources. I find the strength lies in the fact that modification behavior is not hidden—it becomes evident through the verification process.

Have you ever thought of a storage network that could make forgery costly and virtually meaningless? When discrepancies are detected quickly, trust no longer needs to be placed in a third party, but rather in the verification mechanism itself.
$WAL #walrus @Walrus 🦭/acc

Inside Walrus, the Network Revolution: Coordinated Nodes Keep Data Always Ready

Inside Walrus, keeping data always ready doesn't rely on a single node, but on how the entire network collaborates as a team. When data is stored, the network can distribute data chunks to multiple nodes in different locations, so that even if one group of nodes is slow or loses connectivity, there are still multiple alternative paths for retrieval.

I imagine Walrus like a shift system: nodes that are stable and respond well are prioritized for service, while nodes that are frequently delayed gradually lose chances to receive requests. At the same time, the network needs a periodic verification mechanism to ensure nodes still hold correct data, without corruption or silent replacement.

When access demand spikes suddenly, the network can distribute the load by selecting multiple nodes to serve simultaneously, reducing bottlenecks and maintaining stable performance. Do you think this cooperative model is strong enough to withstand large-scale network disruptions?
$WAL @Walrus 🦭/acc #walrus

How Does Walrus Handle Storage? From Data Fragmentation to Recovery

Walrus operates storage in a distributed manner, so data doesn't stay in one place. When you upload a file, the content may be split into multiple fragments, each carrying enough information to help reconstruct the original file.

These fragments are distributed across different nodes, preventing the system from relying on a single point. If some nodes go offline, the data can still be reassembled from the remaining active fragments. Have you ever wondered why files can still be downloaded even when a few nodes are down?

Recovery is where Walrus truly shines. The network can select the best fragments, verify their integrity, and then reconstruct the data according to its original structure. I like this approach because it turns infrastructure failures into ordinary occurrences, rather than disasters.
#walrus @Walrus 🦭/acc $WAL

Walrus And Storage Costs, Computing Costs, And How Are Nodes Incentivized?

Walrus and storage costs are not just about being cheap or expensive; they are about creating the right signals to ensure stable data delivery. Storage fees can be tied to capacity, data retention time, and level of commitment, allowing users to pay only for what they actually need, rather than paying a flat rate.

On the node side, incentives come from rewards for storing and serving data on time. Nodes want to be compensated, so they must maintain high uptime, respond quickly, and prove they are actually holding the data—regular verification mechanisms make cheating risky.

I think the strength lies in balancing market dynamics with discipline. When demand increases, fees create incentives to bring in more resources; when demand decreases, the network maintains quality through penalties for lazy service. Do you think this model is attractive enough to keep nodes participating long-term?
$WAL #walrus @Walrus 🦭/acc

Privacy but still compliant – Dusk Network is solving the hardest problem in Crypto

Dusk Network focuses on building a new standard for how data is handled in crypto. Instead of exposing every transaction on the blockchain, the network allows control over who can view and to what extent. This is especially important for financial products with high security requirements. Dusk's approach reduces friction between blockchain technology and current regulatory frameworks. As crypto gradually integrates with traditional finance, platforms like Dusk Network will play a key role as foundational infrastructure for the next phase.
$DUSK @Dusk #dusk

From privacy to compliance: How Dusk Network is shaping the future of DeFi

Dusk Network approaches DeFi in a different way compared to traditional platforms. The project focuses on building an environment where financial data is protected yet verifiable when necessary. Instead of publicly exposing all information on-chain, Dusk enables control over the appropriate level of transparency in line with regulations. This approach brings DeFi closer to the real-world financial system. In the long term, Dusk Network could serve as a bridge between decentralized blockchain and the operational standards of financial institutions.
$DUSK @Dusk #dusk

Will Dusk Network become the new standard for institutional DeFi?

Dusk Network is aiming to become the core platform for institutional finance DeFi. The biggest differentiator of the project lies in its ability to combine privacy and regulatory compliance. This allows institutions to participate in DeFi without compromising transparency as required by regulators. The Dusk infrastructure is designed for real-world asset transactions and complex financial products. If the trend of institutional DeFi continues to expand, Dusk Network has the potential to become a new standard for the on-chain financial ecosystem.

$DUSK #dusk @Dusk

Overview of Dusk Network: Technology, Applications, and Vision

Dusk Network is a blockchain focused on the modern financial market. The project emphasizes privacy while ensuring legal compliance. The core technology of Dusk is based on zero-knowledge proofs, providing high-level security for transactions and data. The network employs an efficient consensus mechanism to optimize speed and cost. Main applications of Dusk Network include compliant DeFi, asset tokenization, and digital securities issuance. The long-term vision of the project is to become the standard infrastructure for institutional on-chain finance.
$DUSK #dusk @Dusk

Dusk Network: Private-by-Design Capital Markets

Dusk Network targets the capital markets, where privacy must be built into the foundation. Private by design shields sensitive data in transactions, reducing the risk of exposing investor information and trading strategies.

The key is maintaining verifiability and compliance. Information can be verified through appropriate mechanisms, supporting auditing, reporting, and legal requirements, without making all data publicly accessible.

This approach aligns with digital securities, asset issuance, and settlement processes requiring standardization. Do you think capital markets can move on-chain while still protecting data like traditional systems? I believe that if this challenge is solved, organizations will participate more actively.

@Dusk #dusk $DUSK