Htp96
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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.
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'.
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
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
When will Bitcoin recover? On-chain data shows the remaining time of the weakening cycle
Recent data shows that the recovery process of Bitcoin $BTC is still highly uncertain as the market is in a state of high fear and prices have not shown clear reversal signals by the end of February. For me, this is the phase where market emotions are dominating more than short-term price data.
One of the important indicators I monitor is the Actual Profit/Loss Ratio (90D-SMA). When this ratio drops below 1, it indicates that the majority of investors are accepting losses, a state commonly seen during bear market phases.
One of the important indicators I monitor is the Actual Profit/Loss Ratio (90D-SMA). When this ratio drops below 1, it indicates that the majority of investors are accepting losses, a state commonly seen during bear market phases.
XRP surpasses BTC and ETH in market sentiment: opportunity signal or just a herd effect?
I see the point of interest during the period of a weak crypto market is that XRP is maintaining a more positive sentiment than $BTC and $ETH on social media.
According to sentiment data, Bitcoin and Ethereum are receiving more negative comments from retail investors, while XRP continues to maintain a higher rate of positive discussions. For me, this is a signal worth monitoring as it indicates that community reactions are becoming polarized.
However, I do not see this as a definitive sign that XRP will rise stronger than BTC or ETH.
According to sentiment data, Bitcoin and Ethereum are receiving more negative comments from retail investors, while XRP continues to maintain a higher rate of positive discussions. For me, this is a signal worth monitoring as it indicates that community reactions are becoming polarized.
However, I do not see this as a definitive sign that XRP will rise stronger than BTC or ETH.
FOLLOWING THE 4-YEAR CYCLE, BTC USUALLY REACHES THE BOTTOM AROUND OCTOBER
FOLLOWING THE 4-YEAR CYCLE, $BTC IT USUALLY REACHES THE BOTTOM AROUND OCTOBER
Cycles do not always repeat exactly, but if we look back at previous phases, the market structure usually follows a fairly clear logic, and I am trying to view the current market through that lens rather than reacting to each short-term candle.
Phase 1 – Accumulation (2023–2024)
I’m starting to see cash flow coming back very slowly, liquidity improving little by little, those who are patient are accumulating positions while the narrative is still weak and there isn’t much attention.
Cycles do not always repeat exactly, but if we look back at previous phases, the market structure usually follows a fairly clear logic, and I am trying to view the current market through that lens rather than reacting to each short-term candle.
Phase 1 – Accumulation (2023–2024)
I’m starting to see cash flow coming back very slowly, liquidity improving little by little, those who are patient are accumulating positions while the narrative is still weak and there isn’t much attention.
Can Fogo become a liquidity hub for new altcoins?
Once I tried to list a new altcoin on a small venue to test liquidity.
The entry command is quick, but each time I exit the position I have to split it up because the order book is thin.
When I tried again on @Fogo Official with a few experimental pools, the execution felt smoother, but the question remains: is a fast place enough to become a liquidity hub for new altcoins, or are many other layers still needed behind?
For new altcoins, the biggest issue is always the initial liquidity.
The entry command is quick, but each time I exit the position I have to split it up because the order book is thin.
When I tried again on @Fogo Official with a few experimental pools, the execution felt smoother, but the question remains: is a fast place enough to become a liquidity hub for new altcoins, or are many other layers still needed behind?
For new altcoins, the biggest issue is always the initial liquidity.
Why can this cycle hit the bottom earlier than most predictions?
Why can this cycle hit the bottom earlier than most predictions?
We have created a new historical peak just before the halving period, and that factor alone has distorted the entire cycle structure. When the peak arrives early, the entire subsequent correction phase is also pulled forward.
I look back at previous cycles and see a clear pattern: the distance from peak to trough often revolves around 595 days, 720 days, and in the extended scenario can fluctuate in the range of 840–900 days.
We have created a new historical peak just before the halving period, and that factor alone has distorted the entire cycle structure. When the peak arrives early, the entire subsequent correction phase is also pulled forward.
I look back at previous cycles and see a clear pattern: the distance from peak to trough often revolves around 595 days, 720 days, and in the extended scenario can fluctuate in the range of 840–900 days.
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