Htp96
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Below is the information I want to share with you HTP96 about Binance commissions
Currently, you can receive a commission of up to 50%, instead of the default level as before. If you want to transfer the referral to me, just read this article for about 1 minute and it's done.
READ NOW
Instead of receiving a default commission before, now Binance will set it according to the level of 30-40-50% depending on the level you achieve.
Commission upgrade: Can occur daily – just meet the criteria, and the system will automatically upgrade the next day.
READ NOW
Instead of receiving a default commission before, now Binance will set it according to the level of 30-40-50% depending on the level you achieve.
Commission upgrade: Can occur daily – just meet the criteria, and the system will automatically upgrade the next day.
Fabric Foundation is solving what problem in the current L1/L2 architecture
Once, I looked at how the current L1/L2 separate execution, data availability, and settlement, and realized that each layer optimizes different things.
When trying to understand @Fabric Foundation , I found that they are trying to solve the problem of connecting these layers in a simpler way for builders.
Currently, many L2s have to rely on L1 for settlement and DA, while execution is in a different environment. This creates delays, costs, and complexity when building applications that need fast responses.
Fabric seems to approach by consolidating execution and part of data flow into a layer that is closer together, reducing the number of times you have to “jump layers.”
Their goal is not the highest TPS but a predictable system behavior that is easy to integrate. For developers, knowing that requests will be processed within a stable timeframe is more important than achieving peak performance.
@Fabric Foundation #ROBO $ROBO
Once, I looked at how the current L1/L2 separate execution, data availability, and settlement, and realized that each layer optimizes different things.
When trying to understand @Fabric Foundation , I found that they are trying to solve the problem of connecting these layers in a simpler way for builders.
Currently, many L2s have to rely on L1 for settlement and DA, while execution is in a different environment. This creates delays, costs, and complexity when building applications that need fast responses.
Fabric seems to approach by consolidating execution and part of data flow into a layer that is closer together, reducing the number of times you have to “jump layers.”
Their goal is not the highest TPS but a predictable system behavior that is easy to integrate. For developers, knowing that requests will be processed within a stable timeframe is more important than achieving peak performance.
@Fabric Foundation #ROBO $ROBO
Is Mira suitable for on-chain market makers?
Once I tried to run a small market making strategy on @Mira - Trust Layer of AI , just to see what it feels like to continuously place and withdraw orders in an on-chain environment.
What I realized quite quickly is that the execution experience is very important, but it is just one part of the problem.
Market makers not only need speed, they need a predictable and stable environment over the long term.
The first point I noticed about Mira is how it handles execution relatively consistently.
What I realized quite quickly is that the execution experience is very important, but it is just one part of the problem.
Market makers not only need speed, they need a predictable and stable environment over the long term.
The first point I noticed about Mira is how it handles execution relatively consistently.
Bitcoin shows a Death Cross: Is it time for a recovery?
On the 3-day frame, $BTC a death cross has just formed – the short-term moving average crossing below the long-term moving average. Looking back at history, I see this signal rarely coincides with the bottom. In 2014, the market took nearly a month after the death cross to complete the bottom.
In 2018 and 2022 it was similar, both needed more than 30 days to complete the final drop. The common point is very clear: the death cross often comes before the final decline, not after.
In 2018 and 2022 it was similar, both needed more than 30 days to complete the final drop. The common point is very clear: the death cross often comes before the final decline, not after.
The price increase is happening with coins that no one is holding, so this means if you hold old coins, prepare for losses.
New coin lines are pumping strongly in this group, and I can make $MIRA if you want to follow the trend, you can follow $NEWT . I see that there are already waves going on.
At this point, I think it's better to play scalping than to hold altcoins. This is my personal opinion, do your own research.
$NEWT
New coin lines are pumping strongly in this group, and I can make $MIRA if you want to follow the trend, you can follow $NEWT . I see that there are already waves going on.
At this point, I think it's better to play scalping than to hold altcoins. This is my personal opinion, do your own research.
$NEWT
The difference between Mira and other high-performance L1 chains
Once, I tried using @Mira - Trust Layer of AI after getting used to a few other high-performance L1s, and the first impression was not speed, but how it handled execution as a separate layer, more like an 'engine' than a multipurpose chain.
Many high-performance L1s focus on pushing TPS and reducing latency, but still maintain a common model for all types of applications.
Mira tends to design infrastructure around a few key use cases, especially trading and activities that require fast and stable execution. This makes the experience less volatile when load increases.
Another point is how $MIRA manages transaction order and network feedback. Instead of just optimizing throughput, it tries to make network behavior predictable, which market makers and time-sensitive strategies care about.
But in return, Mira may be less flexible for use cases that are not within its focus. The question is whether this focus is enough to create a long-term advantage over multipurpose L1s or not.
@Mira - Trust Layer of AI #Mira $MIRA
Once, I tried using @Mira - Trust Layer of AI after getting used to a few other high-performance L1s, and the first impression was not speed, but how it handled execution as a separate layer, more like an 'engine' than a multipurpose chain.
Many high-performance L1s focus on pushing TPS and reducing latency, but still maintain a common model for all types of applications.
Mira tends to design infrastructure around a few key use cases, especially trading and activities that require fast and stable execution. This makes the experience less volatile when load increases.
Another point is how $MIRA manages transaction order and network feedback. Instead of just optimizing throughput, it tries to make network behavior predictable, which market makers and time-sensitive strategies care about.
But in return, Mira may be less flexible for use cases that are not within its focus. The question is whether this focus is enough to create a long-term advantage over multipurpose L1s or not.
@Mira - Trust Layer of AI #Mira $MIRA
Can Fogo become the backend execution layer for a Web2 app?
Once, I tried to build a very simple flow: a simulated Web2 app that calls @Fogo Official to perform a few on-chain actions like transferring stablecoin and placing a small order.
On the user side, they just press a button, unaware that blockchain is underneath.
The experience is quite smooth, but I realize that the real question is not 'can it be done', but 'how far can it go for Web2 to accept it'.
On the user side, they just press a button, unaware that blockchain is underneath.
The experience is quite smooth, but I realize that the real question is not 'can it be done', but 'how far can it go for Web2 to accept it'.
Fogo can reduce the number of steps to place an on-chain trading order
Once, I placed an order on a familiar dApp, had to approve the token, sign the transaction, wait for confirmation, and only then did I see the order appear.
When trying on @Fogo Official , the execution part was faster, but the number of steps was still almost the same. At that moment, I realized the issue was not only speed, but also the number of times users had to "stop" to confirm.
Fogo can reduce the number of steps by combining multiple actions into a single transaction. For example, approving and placing an order can be done together in one signing, instead of splitting it into two steps.
If combined with mechanisms like paymaster or gas abstraction, users do not need to think about fees each time they interact.
Another approach is to keep the authorization state ready for the dApp, so subsequent orders do not need to sign everything again, just confirm the changes. This helps create an experience closer to CEX, where users only place orders without having to handle multiple layers underneath.
But to achieve this, the system must maintain safety and transparency. If reducing steps causes users to lose control of their assets, the experience will no longer be trustworthy.
#fogo $FOGO
Once, I placed an order on a familiar dApp, had to approve the token, sign the transaction, wait for confirmation, and only then did I see the order appear.
When trying on @Fogo Official , the execution part was faster, but the number of steps was still almost the same. At that moment, I realized the issue was not only speed, but also the number of times users had to "stop" to confirm.
Fogo can reduce the number of steps by combining multiple actions into a single transaction. For example, approving and placing an order can be done together in one signing, instead of splitting it into two steps.
If combined with mechanisms like paymaster or gas abstraction, users do not need to think about fees each time they interact.
Another approach is to keep the authorization state ready for the dApp, so subsequent orders do not need to sign everything again, just confirm the changes. This helps create an experience closer to CEX, where users only place orders without having to handle multiple layers underneath.
But to achieve this, the system must maintain safety and transparency. If reducing steps causes users to lose control of their assets, the experience will no longer be trustworthy.
#fogo $FOGO
B
FOGOUSDT
Perp
Closed
PNL
-0.33%
Crypto cycles 2022: The macro bottom is forming
The current scenario of bitcoin
reminds me quite a lot of the structure of 2022, but I don't see it as a fixed mold to force the market to repeat.
For me, the real value of looking back at history lies in understanding why a model from the past worked, and then putting it alongside the current context to see how similar it is, rather than trying to find a perfect fractal.
reminds me quite a lot of the structure of 2022, but I don't see it as a fixed mold to force the market to repeat.
For me, the real value of looking back at history lies in understanding why a model from the past worked, and then putting it alongside the current context to see how similar it is, rather than trying to find a perfect fractal.
Why Mira appears at the right time of the new cycle
I see @Mira - Trust Layer of AI in the context of the new cycle and feel quite clearly that it does not appear randomly, but falls right at the time when some underlying conditions begin to mature.
At the end of the previous cycle, many projects talked about bringing trading, derivatives, or automation on-chain but were blocked at the infrastructure layer.
Execution is unstable, latency fluctuates greatly, costs vary with each block, and most importantly, the quality of order matching is unpredictable.
At the end of the previous cycle, many projects talked about bringing trading, derivatives, or automation on-chain but were blocked at the infrastructure layer.
Execution is unstable, latency fluctuates greatly, costs vary with each block, and most importantly, the quality of order matching is unpredictable.
Why Mira appears at the right time of the new cycle
I see @Mira - Trust Layer of AI in the context of the new cycle and find it appears quite timely when three things begin to intersect: the execution infrastructure is good enough, new capital flows back, and the demand for truly scalable products exists.
At the end of the previous cycle, many ideas could not be implemented simply because the infrastructure was unstable, latency fluctuated, and costs were unpredictable. When the market returns, those limitations become opportunities for projects to go straight into execution.
$MIRA does not try to solve everything at once but focuses on a clear layer of use cases, leveraging the chains already invested in performance.
This allows them not to bear the entire infrastructure problem but to build product logic closely aligned with current demands, especially for on-chain strategies that have higher frequencies.
If Mira provides a stable experience and clear costs, they have the opportunity to capture this layer of users early in the cycle, before the market becomes too crowded and competitive.
@Mira - Trust Layer of AI #Mira $MIRA
I see @Mira - Trust Layer of AI in the context of the new cycle and find it appears quite timely when three things begin to intersect: the execution infrastructure is good enough, new capital flows back, and the demand for truly scalable products exists.
At the end of the previous cycle, many ideas could not be implemented simply because the infrastructure was unstable, latency fluctuated, and costs were unpredictable. When the market returns, those limitations become opportunities for projects to go straight into execution.
$MIRA does not try to solve everything at once but focuses on a clear layer of use cases, leveraging the chains already invested in performance.
This allows them not to bear the entire infrastructure problem but to build product logic closely aligned with current demands, especially for on-chain strategies that have higher frequencies.
If Mira provides a stable experience and clear costs, they have the opportunity to capture this layer of users early in the cycle, before the market becomes too crowded and competitive.
@Mira - Trust Layer of AI #Mira $MIRA
90D Trade PNL
+8.09%
Fogo could become a liquidity hub for stablecoins
I once tried transferring stablecoins across several chains just to compare prices and execute a small order, and I realized that most of the time the issue wasn't in execution but in waiting and finding sufficient deep liquidity.
When trying on @Fogo Official , the order went through quickly, but the question remains: is the speed enough to pull stablecoin liquidity together in one place?
To become a stablecoin liquidity hub, Fogo has several clear advantages: fast execution, low latency, and predictable trading behavior, which market makers appreciate when managing inventory and spreads. If they can place and withdraw orders almost instantly, operational risks decrease and liquidity can be thicker.
But stablecoin flow depends on many other layers: cross-chain bridges, trust in the system, and opportunities to utilize capital on-chain. If stablecoins only come in to trade and then leave, liquidity is hard to accumulate.
I think Fogo could become a liquidity concentration point in some pairs, but to become a general hub for stablecoins, it needs to keep the capital flow staying through real use cases.
@Fogo Official #fogo $FOGO
I once tried transferring stablecoins across several chains just to compare prices and execute a small order, and I realized that most of the time the issue wasn't in execution but in waiting and finding sufficient deep liquidity.
When trying on @Fogo Official , the order went through quickly, but the question remains: is the speed enough to pull stablecoin liquidity together in one place?
To become a stablecoin liquidity hub, Fogo has several clear advantages: fast execution, low latency, and predictable trading behavior, which market makers appreciate when managing inventory and spreads. If they can place and withdraw orders almost instantly, operational risks decrease and liquidity can be thicker.
But stablecoin flow depends on many other layers: cross-chain bridges, trust in the system, and opportunities to utilize capital on-chain. If stablecoins only come in to trade and then leave, liquidity is hard to accumulate.
I think Fogo could become a liquidity concentration point in some pairs, but to become a general hub for stablecoins, it needs to keep the capital flow staying through real use cases.
@Fogo Official #fogo $FOGO
When Long-Term Holders Start to Lose: Market Signal Approaching the Bottom
When Long-Term Holders Start to Lose: Market Signal Approaching the Bottom
When long-term holders start to incur losses, I always see it as one of the signs that the market has entered deep into a downturn. A bottom rarely forms when the majority are still in profit; it typically forms when even the most patient begin to be 'underwater'.
The Long-Term Holder Cost Basis indicator reflects the average cost basis of the group of investors who have held the longest. Currently, this level is approximately 40,363 USD. I understand it simply like this: when the price is above this level, they are still in paper profit. When the price falls below, they start to incur losses.
When long-term holders start to incur losses, I always see it as one of the signs that the market has entered deep into a downturn. A bottom rarely forms when the majority are still in profit; it typically forms when even the most patient begin to be 'underwater'.
The Long-Term Holder Cost Basis indicator reflects the average cost basis of the group of investors who have held the longest. Currently, this level is approximately 40,363 USD. I understand it simply like this: when the price is above this level, they are still in paper profit. When the price falls below, they start to incur losses.
Bitcoin Nearing the Cycle Bottom? Macro Risk Context 2026
Is Bitcoin close to the bottom according to the cycle?
A recent argument that has been reiterated many times is: after Bitcoin $BTC broke the old cycle peak, a bottom of the new cycle will form approximately 21–23 months later. Looking back at the data, this number is not random. After the peak in 2013, it was about 23 months, after 2017 it was about 21 months, and after 2021 it returned to nearly 23 months. The range of repetition is quite narrow.
If we take the milestone from the last time $BTC broke the ATH, we are getting very close to that time frame. This raises the question more clearly: is the market close to the bottom?
A recent argument that has been reiterated many times is: after Bitcoin $BTC broke the old cycle peak, a bottom of the new cycle will form approximately 21–23 months later. Looking back at the data, this number is not random. After the peak in 2013, it was about 23 months, after 2017 it was about 21 months, and after 2021 it returned to nearly 23 months. The range of repetition is quite narrow.
If we take the milestone from the last time $BTC broke the ATH, we are getting very close to that time frame. This raises the question more clearly: is the market close to the bottom?
How Binance protects user accounts
When it comes to keeping assets on a centralized exchange like Binance, the biggest question I've ever had—and I'm sure many of you have too—is: how is my account protected?
After some time using it, I realized that Binance builds security in multiple layers, not just relying on a single factor but rather a combination of technology, processes, and user behavior.
The first layer is account-level security.
After some time using it, I realized that Binance builds security in multiple layers, not just relying on a single factor but rather a combination of technology, processes, and user behavior.
The first layer is account-level security.
Why Fogo Could Become the Most Notable Layer 1 of 2026
If looking at @Fogo Official in the context of 2026, I no longer see it as a narrative to tell but as an infrastructure problem that is gradually becoming a real market demand.
The biggest change in the last 12–18 months is not the number of new chains, but the quality of the capital flowing into onchain.
Three trends are converging and creating a very clear pressure on the execution layer: institutional capital is starting to shift, automated systems are beginning to manage real capital, and the performance gap between CEX and onchain is narrowing but only for a very small group of chains that are seriously investing in the execution layer.
The biggest change in the last 12–18 months is not the number of new chains, but the quality of the capital flowing into onchain.
Three trends are converging and creating a very clear pressure on the execution layer: institutional capital is starting to shift, automated systems are beginning to manage real capital, and the performance gap between CEX and onchain is narrowing but only for a very small group of chains that are seriously investing in the execution layer.
Large cash flow has not returned: Weak Bitcoin accumulation, slow recovery
The amount of Bitcoin $BTC being accumulated in the market is still relatively weak, and this is clearly reflected in the recent on-chain indicators. Since the beginning of February, the accumulation trend index has attempted multiple times to exceed the threshold of 0.5 but has not maintained it, indicating that sustainable buying pressure has not yet formed clearly.
The noteworthy point lies in the cash flow structure. The buying activity from large holding groups – including whales and institutions – has not yet returned with sufficient strength to support the market.
The noteworthy point lies in the cash flow structure. The buying activity from large holding groups – including whales and institutions – has not yet returned with sufficient strength to support the market.
New User Experience: Is Binance Really Easy to Use?
My initial experience with Binance wasn't exactly "easy to use" right away. When I first joined, I was overwhelmed by the numerous tabs, many functions, and terminology.
However, after spending some time getting acquainted, I realized that Binance's interface is quite logically arranged; it was just that initially, I didn't know where to start.
For newcomers, if you focus on a few basic parts like Buy Crypto, Convert, Spot, and Wallet, everything becomes much simpler. The buying and selling steps are clearly guided, and with just a few actions, you can own your first coin.
What I appreciate is that Binance has many available support tools, from charts, transaction history to features like Auto Invest or Earn. However, because there are so many features, diving too deep too early can confuse newcomers.
For me, Binance is not a platform that is "easy right from the start," but it is a very powerful platform that becomes easier over time if used correctly.
#CreatorpadVN @Binance Vietnam $BNB
My initial experience with Binance wasn't exactly "easy to use" right away. When I first joined, I was overwhelmed by the numerous tabs, many functions, and terminology.
However, after spending some time getting acquainted, I realized that Binance's interface is quite logically arranged; it was just that initially, I didn't know where to start.
For newcomers, if you focus on a few basic parts like Buy Crypto, Convert, Spot, and Wallet, everything becomes much simpler. The buying and selling steps are clearly guided, and with just a few actions, you can own your first coin.
What I appreciate is that Binance has many available support tools, from charts, transaction history to features like Auto Invest or Earn. However, because there are so many features, diving too deep too early can confuse newcomers.
For me, Binance is not a platform that is "easy right from the start," but it is a very powerful platform that becomes easier over time if used correctly.
#CreatorpadVN @Binance Vietnam $BNB
Today marks 1 year since I started my journey with @Fogo Official
On my first day at Fogo, I was almost a complete novice in Web3, not understanding how the system operated or how the market worked.
After a year, what I gained was not just knowledge, but also recognition, new relationships, and many memorable experiences.
The journey from Verified to Giga Blazer is not just a title, but a milestone for time, perseverance, and what I have contributed to the community.
For me, Fogo is not just a project. It is where I learned to become a builder, where I grew, and now it has become a part of my personal story.
Grateful for the journey so far, and I am still continuing to move forward.
@Fogo Official #fogo $FOGO
On my first day at Fogo, I was almost a complete novice in Web3, not understanding how the system operated or how the market worked.
After a year, what I gained was not just knowledge, but also recognition, new relationships, and many memorable experiences.
The journey from Verified to Giga Blazer is not just a title, but a milestone for time, perseverance, and what I have contributed to the community.
For me, Fogo is not just a project. It is where I learned to become a builder, where I grew, and now it has become a part of my personal story.
Grateful for the journey so far, and I am still continuing to move forward.
@Fogo Official #fogo $FOGO
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