Umer264

Analyst & algorithmic forecasts vary widely, because crypto prices depend on both fundamentals and overall market trends — there’s no guarantee of any outcome.
📅 Forecasts from different sources
Neutral/modest growth outlook:
~2026 average: $0.20–$0.25 (Gradual increase scenario).

Moderate bullish forecasts:
2025–2029 sees possible ranges like:
2025: ~$0.40–$1.35
2026: ~$0.62–$1.98
2027: ~$0.85–$2.60
2028: ~$1.18–$3.15
2029: ~$1.50–$3.85
36Crypto
More conservative long-range:
2030: ~$2.37–$2.87 (DigitalCoinPrice model).

⚠️ Predictive models differ hugely — some show slow growth, others show stronger upside in a bullish crypto cycle.
📉 What Could Influence WAL Price
🟢 Bullish factors
Protocol adoption: More real usage of Walrus decentralized storage (data & AI).
Network demand: More people paying WAL to store data or stake.
Market cycles: Crypto often rallies when overall sentiment turns bullish.

🔴 Bearish risks
Low revenue: Protocol revenue is modest right now, so price may lag fundamentals.

Market sentiment: WAL tends to follow broader crypto trends — if Bitcoin/altcoins cool, WAL may too.

Volatility: High supply locks and sell pressure from early unlocks can push price down.#walrus @Walrus 🦭/acc $WAL

Roadmap (White Paper Direction)
✅ Phase 1 – Foundation (Completed / Near)
Core Walrus storage protocol
Red Stuff erasure coding
Sui blockchain integration
Blob storage & proofs
🚧 Phase 2 – Network Expansion
More storage nodes onboarded
Incentives for providers
Performance optimization
Better developer tooling
🚀 Phase 3 – Ecosystem Growth
dApp integrations
AI & large-dataset storage use cases
Decentralized websites
Cross-chain compatibility
🌐 Phase 4 – Decentralized Governance
Community-driven decisions
Parameter voting
Reduced core-team control
Fully decentralized storage economy#walrus @Walrus 🦭/acc $WAL

Tiện ích Token WAL (Tại sao token có giá trị)
WAL không chỉ là một token giao dịch, nó là cần thiết để vận hành mạng:
Trả tiền cho Lưu trữ
Người dùng phải trả WAL để tải lên & lưu trữ tệp (blobs)
Staking (Bảo mật)
Các nút lưu trữ stake WAL để được lựa chọn
Càng nhiều stake = càng nhiều tin cậy = càng nhiều phần thưởng
Phần thưởng
Các nhà cung cấp lưu trữ kiếm được WAL để giữ dữ liệu trực tuyến
Quản trị
Những người nắm giữ WAL bỏ phiếu cho các nâng cấp giao thức & thông số
🔥 Đốt & Hình phạt
WAL có thể bị đốt thông qua:
Cắt giảm các nút lưu trữ xấu/độc hại
Hình phạt cho hành vi sai trái
➡️ Điều này tạo ra áp lực giảm phát theo thời gian

Dusk’s peer-to-peer (P2P) layer, Kadcast, provides a structured and efficient com-
munication protocol for the propagation of blocks, transactions, and consensus mes-
sages. Unlike unstructured P2P protocols such as Gossip [19] and LibP2P [20], which
broadcast messages indiscriminately to all neighboring nodes, Kadcast utilizes the
Kademlia distributed hash table (DHT) protocol to organize nodes in a hierarchi-
cal structure and optimize data transmission paths using XOR distance metrics [21].
This structured approach enables Kadcast to reduce message redundancy and achieve
more efficient bandwidth usage compared to unstructured protocols.
Studies indicate that Kadcast achieves an approximate 25-50% reduction in band-
width usage compared to Gossip protocols, as nodes forward messages only to se-
lected peers rather than broadcasting to all neighboring nodes [22]. This bandwidth
optimization not only conserves network resources but also leads to tangible energy
savings at both the node and infrastructure levels. By minimizing the number of transmissions required to propagate data across the network, Kadcast conserves en-
ergy on individual nodes by lowering the computational load associated with message
processing. Moreover, reduced bandwidth usage alleviates data load on the internet
backbone, indirectly reducing energy expenditure on global data routing.
In addition to bandwidth efficiency, Kadcast’s structured message propagation
contributes to a 10-30% reduction in stale block rates in scenarios with faster block
times, such as Ethereum-like networks [22]. Lower stale block rates mean that nodes
spend less computational power on processing blocks that ultimately do not get ac-
cepted into the chain, reducing the energy overhead associated with redundant block
validation and consensus efforts. In PoS networks, this reduction translates into more
efficient utilization of network resources, as fewer block attestations are wasted$DUSK
@Dusk_Foundation

Khả năng chịu lỗi và động lực của mạng
Kadcast về bản chất có khả năng chịu đựng sự thay đổi và thất bại của mạng nhờ vào sự phụ thuộc của nó vào
DHT của Kademlia. Trong các mạng động cao, nơi mà các nút thường xuyên tham gia và rời bỏ,
Kadcast đảm bảo rằng sự lan truyền tin nhắn vẫn mạnh mẽ. Các nút có thể động thái
cập nhật các bảng định tuyến của họ bằng cách loại bỏ các đồng nghiệp đã thất bại và thay thế chúng bằng các
các. Việc đánh giá lại và cập nhật liên tục các bảng định tuyến cho phép Kadcast
duy trì khả năng sẵn sàng cao và khả năng chịu lỗi.
Ngoài ra, việc sử dụng nhiều đồng nghiệp trong các xô có nghĩa là nếu một nút thất bại

Kadcast builds upon the principles of the Kademlia DHT protocol, organizing net-
work nodes in a hierarchical, tree-like structure where each node maintains a routingtable sorted by XOR distance between its node ID and other nodes. This distance
metric ensures that nodes are able to efficiently locate and communicate with other
peers within the network. Routing tables are divided into buckets, which store con-
tact information for peers at various distances. By making use of Kademlia’s XOR
distance, Kadcast ensures that the farther a node is from the sender, the fewer in-
termediate nodes are required to relay the message, reducing message propagation
time.
Kadcast’s primary innovation lies in its broadcast mechanism, which optimizes
the distribution of messages by limiting redundant transmissions. Instead of broad-
casting to all neighboring nodes, each node forwards messages only to selected peers
at increasing XOR distances, creating an efficient cascading effect. This significantly
reduces bandwidth usage compared to traditional flooding or gossip-based P2P net-
works, where each message is broadcast to all neighbors regardless of the distance or
the network structure.
Multicast trees. One of Kadcast’s key features is its use of multicast trees to organize
message dissemination. Multicast groups are formed based on node proximity in the
Kademlia DHT structure. When a node sends a message, it does so through its closest
peers, which in turn propagate the message to their neighbors at increasing XOR
distances. This structured propagation allows for optimal coverage of the network
with minimal overhead, ensuring that each node receives the message with the fewest
possible relays. By structuring message dissemination this way, Kadcast drastically
reduces the overall number of transmissions required to propagate data across the
network.@Dusk $DUSK
#dusk