Why: Price failed to hold above MA25 and got rejected near the 217–218 area. Now it’s printing lower highs with sellers controlling momentum. If 205 support breaks, downside can extend quickly.
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$BTC has been clearly rejected from $73.8K zone and now is holding the 70K range
Long $BTC
Entry: 70,200 – 70,600 SL: 68,200
TP1: 71,200 TP2: 71,800 TP3: 72,600 TP4: 73,200
Why: BTC is correcting after the sharp move to 73.8K and is now holding near the MA25 support on the 4H chart. As long as the 70K zone holds, the broader bullish structure remains intact and price can attempt another move toward the highs.
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$XAG showing strong bearish momentum after rejection from the 84 resistance.
Short $XAG
Entry: 80.6 – 81.5 SL: 84.40
TP1: 79.80 TP2: 79.20 TP3: 78.50 TP4: 77.50
Why: Price got rejected near 84 and started a sharp sell-off with strong bearish candles. It’s trading below MA25 and MA99, showing sellers control the trend. Any small bounce toward 81 could be a continuation short before the next leg down.
To avoid charging directly in $NIGHT , the network introduced another resource that is called DUST.
When a common token is applied in governance, speculation, and transaction charges, the whole network will be subjected to market fluctuations. Transaction costs may become unpredictable and expensive at a sudden time, when the token price increases.
That is the very thing that occurred on numerous major blockchains.
That was something midnight wanted to avoid.
Therefore the network does not tie ownership and usage.
$NIGHT is the main token. It symbolizes control, sustainable worth and involvement in the ecosystem.
Yet transactions do not eat up NIGHT.
Rather, the default creation of NIGHT produces DUST which is the fuel of a transaction and smart contract on the network.
The more NIGHT you possess the greater the amount of DUST you produce with time. You use DUST when you make a transaction and not your core token balance.
There are several issues that are addressed in this design.
To start with, it maintains transaction costs in predictability. Fees are based on capacity of the network as opposed to the market price of NIGHT.
Second, it secures power of governance. The users do not gradually lose their power through the use of the network.
Third, it helps with privacy. DAUST transactions are encrypted such that an activity can occur without revealing sensitive metadata on a publicly accessible registry.
Therefore, DUST is not intended to be a marketable thing.
It is just the working power of the network.
Simply put, Midnight did not develop DUST as a way of making its tokenomics more difficult.
It established DUST in order to separate value, governance and network usage into distinct layers. This segregation may enable that system to be more stable when actual applications begin using the chain.
Why: TRUMP pulled back after the strong move to 4.45 and is now stabilizing near the 3.75 support zone. RSI is recovering from oversold and price is trying to reclaim short-term momentum.
If buyers hold this area, the market could attempt another push toward the recent highs.
Midnight Network Is Trying a Bizarre Economic System: A Token of Power, a Token of Usage
A majority of blockchains have a straightforward rule. One network. One token. A single-purpose asset. It secures the network. It pays transaction fees. It is the hypothetical commodity that people make transactions. But @MidnightNetwork is trying out a very different concept. Midnight divides the system in two instead of a single token performing all of the tasks. Power in the network is one representation. The other is the capability of using it in reality. This initially is unsoundly complex. However, the concept of it is quite practical. The primary key of the system is named $NIGHT . This is what people possess, trade and govern themselves. It ensures the network is secure, enables one to vote and is the economic engine of the ecosystem. And here is where Midnight does something weird. NIGHT does not exist when users communicate with the network. Rather, the automatic creation of a second resource (DUST) is generated when $NIGHT is held. The network is actually powered by DUST. It is reused to make transactions as well as execute smart contracts. Each time a person communicates with Midnight, it burns DUST instead of the primary token. Imagine that it is a power station. NIGHT symbolizes possession of power plant. The electricity it generates is called DUST. You do not torch the power plant to power your house. You spend the energy that it produces. The same reasoning is used by Midnight to apply to blockchain economics. Constant production of NIGHT generates DUST that is used by the users when they are interacting with the network. The longer the night one has, the higher the amount of dust capacity that one produces in the long run. This division forms an alternative form of economy. The majority of the blockchains make people to continuously use their tokens to pay transaction fees. It refers to investment and fuel being one and the same. The more one does, the more he or she has to purchase to continue functioning. Midnight attempts to eliminate this pressure. The capital stock remains undepleted and the working fuel replenishes itself. This in theory would have resulted in a system where the developers and applications are able to forecast how much it would cost to run more easily. They do not have to be concerned with the changing gas prices but on the DUST produced by their NIGHT holdings. Another interesting side effect is present. Since DUST is created by NIGHT and utilized internally, it is not created to be a freely traded token. It is more of a network resource than it is a speculative asset. In that design, speculation and real use are to be separated. It is yet to be determined whether or not this model will be long-term effective. Experiments in token economics are not new to crypto history and most of them failed. But Midnight is experimenting with one of the most widely accepted blockchain design assumptions. Perhaps a token should not accomplish everything. Perhaps networks are effective when the ownership is different and the use is different. In case such a concept turns out to be effective, the Midnight weird two-layer economy may shape the way other blockchain implementations draw up their tokens. #night
This Trader Lost $50 Million in $AAVE DeFi Swap Blunder 💔
On March 12, the trader attempted to change over $50.4 million USDT to $AAVE through the Aave app on Ethereum with CoW Protocol, Uniswap V3, and SushiSwap with the low liquidity pool.
There were warnings of extreme slippage, which the user activated on the mobile phone and went ahead, with MEV bots, block builder tips and fees stating that the majority of money- no hack involved.
Aave will repay the fees to the tune of the goodwill of 600,000 and is considering enhanced cushions, as founder Stani Kulechov reiterated the risk being clearly accepted. The CZ of Binance described it as sad and liquidity as one of its main defenses.
Why: Price got rejected near the 22 resistance and is now printing lower highs on the short timeframe. Momentum from the rally is slowing and sellers are starting to step in. If 19 support weakens, a quick pullback toward lower support zones is likely.
Why: XRP just broke above the 1.40 zone with strong momentum and volume. As long as price holds above this breakout area, the move toward higher resistance levels can continue.
The reason why Robot Activity Data can be the most valuable data in Web3.
The majority believe that wallets, trading activity, or social graphs have the most valuable data in crypto.
However, the following valuable data can be gathered by something absolutely different. Machines.
With robots beginning to enter into factories, delivery, warehouses, and cities, robots begin producing a new sort of information. Not transactions, but real life activity information. Where a robot moved. What task it completed. How long it took. Whether the job was accomplished properly.
Such information is very valuable.
Physical machine control AI systems can get better with experience gained in the real world. The better they are, the more information they possess about the interaction of robots with the environments, tools, and people. The massive datasets of physical tasks already form the basis of large robotic learning systems to enhance the performance and generalization.
The issue is that the majority of this information is secured within the closed systems of companies.
Every robotics company gathers its data, educates its models and maintains the secrecy of it. That retards learning and produces disjointed ecosystems.
The network would enable machines to post verifiable records of their activities on a common platform rather than keeping robot data confined within closed platforms. On-chain identities, task histories, incentive systems can be assigned to machines, which are rewarded through useful data contribution.
In the event that that model succeeds, the outcome is not a robot network.
It is turned into a universal register of actual machine operation. An ever increasing flow of data concerning intelligent systems that work in the physical world.
In a world where AI will manage millions of robots, such a dataset can be one of the most valuable resources the internet has ever created.
Why: ZEC pushed back above the 215 level and reclaimed short-term momentum. As long as buyers keep defending this area, the move toward the previous highs can continue.
Why: SOL broke above the 90 zone and is holding above the key moving averages. Buyers are stepping in on dips, which usually keeps the momentum going if support holds.
The Metrics that may be used to describe success of the Fabric Network.
The first thing that people tend to monitor when a new network is launched is the token price. It moves fast. It's visible. It's easy to track. Price hardly ever tells the whole story. When @Fabric Foundation is in the process of developing something significantly bigger than a typical crypto protocol, the actual indicators of success are likely to appear in different forms. They will be a product of the action that occurs within the network. Fabric is created to be a layer of infrastructure upon which robots and intelligent machines can carry identities, coordinate, and transfer value in the form of an on-chain system, which is powered by the $ROBO token. That is, the speculation metrics will not be the most significant ones. They will be usage metrics. The number of machines connected to the network would be one of the most obvious ones. In case robots are expected to act as economic actors, they must be given identities on the system first. An increasing registered machine identity would imply that Fabric is becoming a practical layer of coordination among physical devices and not an abstract protocol. The number of tasks which were performed via the network would be another crucial measure. The concept behind the design of Fabric is machines having work done and being rewarded through an on-chain program associated with verifiable activity. The larger the number of tasks carried out, the greater the testimony to the reality that the network is in actual operation, and not a dormant infrastructure. Something related intimately closely with that is machine-to-machine transaction traffic. Fabric comes up with the concept that robots might carry wallets and might be able to pay up for services like data, compute, charging or even physical assistance by other machines. When such interactions start manifesting in a regular on-chain way, they would be a novice of its own. Machines paying the economic activity to other machines. The other measure that might be significant is that of developer participation. Networks of infrastructure are more likely to expand using the tools and applications that people develop on the foundation of infrastructure networks. In the event of developers beginning to create robotic services, coordination systems, or data markets on Fabric, the network may become a full ecosystem instead of a single protocol. There could also be token utility that indicates whether the network is working as it should. The $ROBO token will process payments, governance participation and coordination incentives on the system. The economic layer would not have reached maturity yet, in case speculation is the major contributor to token activity. However in case token usage starts to correspond to real activity of the machine, then this would be a better indication that the system is operating. And then there is the bigger measure that may be important as time changes. Real-world integration. The vision of Fabric is based on the provision of connection between the digital infrastructure and real robotics systems. When warehouse robots, logistics networks, delivery systems, or industrial settings start communicating with the network, then it would mean that Fabric already goes beyond theory and can be seen as a real-life economic coordination. At the beginning stages, these signs are likely to be slow. A few machines here. There are some automated transactions. Perhaps a few developers trying robotic services. New infrastructure networks do not usually commence on a large scale. They tend to start with small quantifiable indications, which build up. In case Fabric is successful, the measures which will determine its advancement might be different than what people anticipate. They will not be measuring speculation or volume of trading. Something much more bizarre they will gauge. The development of a network, in which machines themselves are emerging as players in an economy. #ROBO