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kungfu_crypto

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In recent months, Twitter has mainly shared factual results. This is because the desire to share has decreased significantly. People say that the 'sense of being alive' is composed of the desire to share, individual emotions, and so on. I recall the happiest times playing CT, where I could leverage the potential value of information from my perspective for like-minded individuals. It's been a while since I wrote a long article. Today, I want to share two interesting pieces of information I came across today. The underlying trends they reflect are what I find more fascinating. 1. The trend of integration between crypto and stocks: Crypto companies like Gemini are vying for an IPO on the US stock market, while on the other hand, traditional finance (Tradfi) stock exchanges are opening up to trading crypto. This trend has become increasingly evident during the Trump Administration, especially after the SEC relaxed regulations. This is not only reflected in the case of Guotai Junan International but also in Tiger Brokers $TIGR. This is due to the SEC 13G filing released today: Huobi Founder Li Lin acquired 10,667,580 ADS (5.9%) through a three-tier structure: Avenir Tech → Avenir View → Avenir Investment. Tiger Brokers holds dual licenses in the US from FINRA & in Singapore from MAS, but there is a lack of compliance in crypto. Li Lin should hold VASP licenses in Hong Kong, Dubai, and Singapore, reinforcing this regulatory aspect. On the stock front, $TIGR itself is not too bad; it saw a small increase of 18% today, with trading volume reaching four times the average over the past three months, indicating that some funds have begun to enter. The fundamentals are also quite impressive, with a YOY revenue growth of +55% for Q1 2025, EPS doubling, and client assets increasing by +48% YOY. Compared to Futu's market value of 16 billion, Tiger currently has a valuation of 1.54 billion, providing a 10x growth potential, and TTM revenue for TIGR is already 1/4 of Futu's. PS 3.1, Futu is close to 7.8. Anyway, analyzing finances and these data is not the main focus of this article. Friends who understand more are welcome to discuss; I won't elaborate here. The focus is on the narrative space brought by the integration trend of crypto and stocks after this investment. This is also an important insight that $CRCL and today’s sentiment event from Guotai Junan brought to me (dog head). 2. About Arthur Hayes' interview on bitcoin 2025 with Bonnie and David Lin. I really liked this interview, shout out to @TheBonnieChang because in the fragmented information flow of Crypto every day, it’s easy to lose sight of the big picture. Arthur Hayes' identity as a Crypto Native practitioner, combined with macro interpretation, helps me understand some macro-level issues, such as: 1. The trend of housing prices in Taipei and the reasonableness of liquidity. 2. Why the upward movement of $BTC is indisputable from both HTF and macro perspectives. This deserves further writing later; I will digest it slowly and immerse myself in it. Feel free to DM and comment to discuss.
In recent months, Twitter has mainly shared factual results. This is because the desire to share has decreased significantly.

People say that the 'sense of being alive' is composed of the desire to share, individual emotions, and so on. I recall the happiest times playing CT, where I could leverage the potential value of information from my perspective for like-minded individuals.

It's been a while since I wrote a long article. Today, I want to share two interesting pieces of information I came across today. The underlying trends they reflect are what I find more fascinating.

1. The trend of integration between crypto and stocks: Crypto companies like Gemini are vying for an IPO on the US stock market, while on the other hand, traditional finance (Tradfi) stock exchanges are opening up to trading crypto. This trend has become increasingly evident during the Trump Administration, especially after the SEC relaxed regulations. This is not only reflected in the case of Guotai Junan International but also in Tiger Brokers $TIGR.

This is due to the SEC 13G filing released today: Huobi Founder Li Lin acquired 10,667,580 ADS (5.9%) through a three-tier structure: Avenir Tech → Avenir View → Avenir Investment.

Tiger Brokers holds dual licenses in the US from FINRA & in Singapore from MAS, but there is a lack of compliance in crypto. Li Lin should hold VASP licenses in Hong Kong, Dubai, and Singapore, reinforcing this regulatory aspect.

On the stock front, $TIGR itself is not too bad; it saw a small increase of 18% today, with trading volume reaching four times the average over the past three months, indicating that some funds have begun to enter. The fundamentals are also quite impressive, with a YOY revenue growth of +55% for Q1 2025, EPS doubling, and client assets increasing by +48% YOY. Compared to Futu's market value of 16 billion, Tiger currently has a valuation of 1.54 billion, providing a 10x growth potential, and TTM revenue for TIGR is already 1/4 of Futu's. PS 3.1, Futu is close to 7.8.

Anyway, analyzing finances and these data is not the main focus of this article. Friends who understand more are welcome to discuss; I won't elaborate here. The focus is on the narrative space brought by the integration trend of crypto and stocks after this investment. This is also an important insight that $CRCL and today’s sentiment event from Guotai Junan brought to me (dog head).

2. About Arthur Hayes' interview on bitcoin 2025 with Bonnie and David Lin.

I really liked this interview, shout out to @TheBonnieChang because in the fragmented information flow of Crypto every day, it’s easy to lose sight of the big picture. Arthur Hayes' identity as a Crypto Native practitioner, combined with macro interpretation, helps me understand some macro-level issues, such as:

1. The trend of housing prices in Taipei and the reasonableness of liquidity.

2. Why the upward movement of $BTC is indisputable from both HTF and macro perspectives.

This deserves further writing later; I will digest it slowly and immerse myself in it.

Feel free to DM and comment to discuss.
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#stocksarethenewalts Crypto Alts are increasingly looking at fundamentals and income $HYPE $SYRUP $AAVE Tradfi's trading in cryptocurrencies is more focused on sentiment and narrative This was clearly felt with $CRCL recently Funds with clear themes in Tradfi are truly speculative After lunch, I felt from the trading volume and data that $Guotai Junan International is a sentiment-driven trade So let's not look at fundamentals Chased a stock +47% Waiting for funds to rotate back to Crypto for a big speculative play
#stocksarethenewalts

Crypto Alts are increasingly looking at fundamentals and income $HYPE $SYRUP $AAVE
Tradfi's trading in cryptocurrencies is more focused on sentiment and narrative
This was clearly felt with $CRCL recently
Funds with clear themes in Tradfi are truly speculative

After lunch, I felt from the trading volume and data that $Guotai Junan International is a sentiment-driven trade
So let's not look at fundamentals
Chased a stock +47%

Waiting for funds to rotate back to Crypto for a big speculative play
stocks are the new alts $SBET
stocks are the new alts
$SBET
See original
The first order opened on Binanace $HYPE Feels like stealing someone's opportunity
The first order opened on Binanace $HYPE

Feels like stealing someone's opportunity
Only one onchain Nasdaq. Not Sol. Not your favorite shitcoin. Hyperliquid cc: @0xRay518
Only one onchain Nasdaq.

Not Sol.

Not your favorite shitcoin.

Hyperliquid

cc: @0xRay518
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For those who have been in the circle for a long time You are already very familiar with hyperliquid Understanding that it has real revenue buybacks and a unique distribution mechanism For Wall Street institutions like Old Deng, who still don't know how to use wallets, it may still be confusing Now they are looking at AAVE and other DeFi projects with real yields The most profitable projects and the largest real narratives in the circle Information has always been public It just hasn't been averaged yet
For those who have been in the circle for a long time

You are already very familiar with hyperliquid

Understanding that it has real revenue buybacks and a unique distribution mechanism

For Wall Street institutions like Old Deng, who still don't know how to use wallets, it may still be confusing

Now they are looking at AAVE and other DeFi projects with real yields

The most profitable projects and the largest real narratives in the circle

Information has always been public

It just hasn't been averaged yet
See original
【Help Request】 A brother's wallet address was hacked on-chain for 2M, and the hacker has transferred it to exchanges, some of which are Binance. Is there any related team that can be contacted to handle this? @binancezh @sisibinance @heyibinance Thank you
【Help Request】
A brother's wallet address was hacked on-chain for 2M, and the hacker has transferred it to exchanges, some of which are Binance. Is there any related team that can be contacted to handle this?

@binancezh @sisibinance @heyibinance

Thank you
See original
[Help Request] A brother's wallet address has been hacked on the chain for 2M, and the hacker has transferred some of it to an exchange, including part to Binance. Is there a related team that can be contacted to handle this? Thank you
[Help Request]
A brother's wallet address has been hacked on the chain for 2M, and the hacker has transferred some of it to an exchange, including part to Binance. Is there a related team that can be contacted to handle this?

Thank you
See original
When stablecoins first emerged People in the community were actually wondering what this thing was It was supposed to be used to buy BTC, so why is it related to the US dollar? Then Stablecoin surged in the following years We need to clear away the fog of emotions and inertia And view innovation with more patience
When stablecoins first emerged
People in the community were actually wondering what this thing was
It was supposed to be used to buy BTC, so why is it related to the US dollar?
Then Stablecoin surged in the following years

We need to clear away the fog of emotions and inertia
And view innovation with more patience
See original
Crypto to Trump Perhaps similar to Elon to Trump A tool for money and traffic If interests are not aligned, just throw it away Tonight's drama may appear in Crypto in the coming years That wouldn't be surprising either
Crypto to Trump
Perhaps similar to Elon to Trump

A tool for money and traffic
If interests are not aligned, just throw it away

Tonight's drama may appear in Crypto in the coming years
That wouldn't be surprising either
See original
“There is no value anchoring in the cryptocurrency world, and there is no fundamental data. I want to go to the US stock market for value investment!” $CRCL 76.
“There is no value anchoring in the cryptocurrency world, and there is no fundamental data. I want to go to the US stock market for value investment!”

$CRCL 76.
See original
Sahara AI packages data, models, and agents on-chain, bringing the 'AI asset layer' from PPT to the blockchain; the execution logic of the Royalty Vault's automatic profit-sharing allows contributors to earn returns like receiving royalties, a unique design rarely seen in current AI × Web3 projects. The BUIDLPAD public offering window is from June 8 to 18, with a hard cap of 8.5 M USD, selling only 1.4167% of circulation, corresponding to an FDV of approximately 600 M; 100% TGE unlock, with individual limits of 50-3000 USD. For secondary investors, this 'small cap + full circulation' means concentrated liquidity pressure on the first day but also leaves room for arbitrage for early participants. Observing the trend of $Layer can make this clear. On the financing side, 43 M USD has already been raised, with a lineup from Polychain to Pantera, Samsung Next, and executives from Midjourney and Anthropic on the advisory board, showcasing at least a network of industry resources, but what really matters is when on-chain transaction data will see a volume increase. The SIWA public test has 3.2 M accounts and 1.4 M DAU, where users can earn test coins by completing tasks using the Faucet; the faucet traffic from Bitget Wallet has validated the cold start appeal. The number of data annotators has exceeded 200,000, indicating that the story of 'contribution equals earnings' has found an audience, but for monetization, we still need to wait for the mainnet to be fully operational. Horizontal comparison: FET circulating market value is 1.96 B, TAO is 3.4 B, RNDR is 2.03 B, ARKM is 0.123 B; Sahara's launch has an FDV of 600 M, positioned between Arkham and Render. There is a 3-4 × value creation space to catch up with FET. It should be categorized under the 'AI asset infrastructure' pocket. 600 M FDV is not cheap, but not outrageous either; if the Royalty Vault can achieve tens of thousands of daily active paid users, for every percentage point increase in market share, the valuation could theoretically expand by 1 B+, first participate in BUIDLPAD, then adjust positions based on mainnet data; for truly large positions, we need to wait for the mainnet's six-month retention rate and GMV proof. Key observation points: ① Whether the mainnet is launched as scheduled in Q3; ② Whether royalty settlements are frictionless; ③ The number of institutional nodes and their yields; ④ Whether the transaction volume of datasets and models can form an exponential growth trajectory.
Sahara AI packages data, models, and agents on-chain, bringing the 'AI asset layer' from PPT to the blockchain; the execution logic of the Royalty Vault's automatic profit-sharing allows contributors to earn returns like receiving royalties, a unique design rarely seen in current AI × Web3 projects.

The BUIDLPAD public offering window is from June 8 to 18, with a hard cap of 8.5 M USD, selling only 1.4167% of circulation, corresponding to an FDV of approximately 600 M; 100% TGE unlock, with individual limits of 50-3000 USD. For secondary investors, this 'small cap + full circulation' means concentrated liquidity pressure on the first day but also leaves room for arbitrage for early participants. Observing the trend of $Layer can make this clear.

On the financing side, 43 M USD has already been raised, with a lineup from Polychain to Pantera, Samsung Next, and executives from Midjourney and Anthropic on the advisory board, showcasing at least a network of industry resources, but what really matters is when on-chain transaction data will see a volume increase. The SIWA public test has 3.2 M accounts and 1.4 M DAU, where users can earn test coins by completing tasks using the Faucet; the faucet traffic from Bitget Wallet has validated the cold start appeal. The number of data annotators has exceeded 200,000, indicating that the story of 'contribution equals earnings' has found an audience, but for monetization, we still need to wait for the mainnet to be fully operational.

Horizontal comparison: FET circulating market value is 1.96 B, TAO is 3.4 B, RNDR is 2.03 B, ARKM is 0.123 B; Sahara's launch has an FDV of 600 M, positioned between Arkham and Render. There is a 3-4 × value creation space to catch up with FET. It should be categorized under the 'AI asset infrastructure' pocket. 600 M FDV is not cheap, but not outrageous either; if the Royalty Vault can achieve tens of thousands of daily active paid users, for every percentage point increase in market share, the valuation could theoretically expand by 1 B+, first participate in BUIDLPAD, then adjust positions based on mainnet data; for truly large positions, we need to wait for the mainnet's six-month retention rate and GMV proof.

Key observation points: ① Whether the mainnet is launched as scheduled in Q3; ② Whether royalty settlements are frictionless; ③ The number of institutional nodes and their yields; ④ Whether the transaction volume of datasets and models can form an exponential growth trajectory.
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Every day I watch my friend analyzing the big pancake for 15 minutes, talking about everything under the sun.
Every day I watch my friend analyzing the big pancake for 15 minutes, talking about everything under the sun.
See original
To be honest, GPT O3 can surpass 90% of crypto analysts. The following scenarios are moments when I felt the happiness of AI maximized while doing crypto research: 1. Decoding Twitter riddlers Some KOLs might keep it vague to avoid suspicion; their promotional posts might be very brief, or they may not even directly mention the ticker. Instead, they might hint at the team, the sector, or recent project developments. For example, 0xKyle recently retweeted a tweet, and someone in the comments mentioned a target price of 10u. In the face of such riddle scenarios, our lovely O3 thought for a moment and provided the answer of $ONDO. Although I’m not sure if it's the correct answer, it combined various clues and saved me time guessing. O3 can solve 99% of Twitter riddle scenarios, which is why it’s my favorite use case. 2. Scheduled scanning and monitoring It can also perform scheduled tasks and use the strategies you provide to help scan market information and organize project progress, etc. For instance, you can set up a simple moving average system combined with a task to scan the top 200 market caps every 30 minutes, then filter further to examine project progress or even technical analysis, and O3 can handle all of that. You can even give it your positions and have it help you think through your entry strategy. The downside is that in the plus plan, 30 minutes at a time might still be a bit too infrequent. From reading single information sources to integrating various web pages and image recognition for comprehensive judgments that exceed the efficiency of the average person, it took less than 2 years? And all of this for as little as $20 a month. man
To be honest, GPT O3 can surpass 90% of crypto analysts.
The following scenarios are moments when I felt the happiness of AI maximized while doing crypto research:

1. Decoding Twitter riddlers

Some KOLs might keep it vague to avoid suspicion; their promotional posts might be very brief, or they may not even directly mention the ticker. Instead, they might hint at the team, the sector, or recent project developments. For example, 0xKyle recently retweeted a tweet, and someone in the comments mentioned a target price of 10u. In the face of such riddle scenarios, our lovely O3 thought for a moment and provided the answer of $ONDO. Although I’m not sure if it's the correct answer, it combined various clues and saved me time guessing.
O3 can solve 99% of Twitter riddle scenarios, which is why it’s my favorite use case.

2. Scheduled scanning and monitoring

It can also perform scheduled tasks and use the strategies you provide to help scan market information and organize project progress, etc. For instance, you can set up a simple moving average system combined with a task to scan the top 200 market caps every 30 minutes, then filter further to examine project progress or even technical analysis, and O3 can handle all of that.
You can even give it your positions and have it help you think through your entry strategy. The downside is that in the plus plan, 30 minutes at a time might still be a bit too infrequent.

From reading single information sources to integrating various web pages and image recognition for comprehensive judgments that exceed the efficiency of the average person, it took less than 2 years?

And all of this for as little as $20 a month.

man
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This morning I looked at Barron's There are several funny points to share 1/ They conducted a major survey of American Money Managers, and 91% of managers feel bearish about cryptocurrencies. 2/ 65% of money managers believe that this year the U.S. stock market will eventually experience a major correction of more than 20%. 3/ 58% of money managers believe the U.S. stock market is overvalued. 4/ Oh, and one more thing, the CEO of Trump's company $DJT, Devin Nunes (former California Congressman and Trump ally), has a total compensation of $47.64 million for the fiscal year 2024, while the company's total revenue for the year is only $3.619 million. Compensation/Revenue = 13.2×; cash portion is $1.6 million (44% of revenue). What it means is that the income of Trump's political ally as CEO for a year is 13 times the total income of his company for the year. You ask, with a total company revenue of only $3.6 million, giving him $1.6 million in cash, who pays for the rest? $DJT hodler
This morning I looked at Barron's
There are several funny points to share

1/ They conducted a major survey of American Money Managers, and 91% of managers feel bearish about cryptocurrencies.

2/ 65% of money managers believe that this year the U.S. stock market will eventually experience a major correction of more than 20%.

3/ 58% of money managers believe the U.S. stock market is overvalued.

4/ Oh, and one more thing, the CEO of Trump's company $DJT, Devin Nunes (former California Congressman and Trump ally), has a total compensation of $47.64 million for the fiscal year 2024, while the company's total revenue for the year is only $3.619 million. Compensation/Revenue = 13.2×; cash portion is $1.6 million (44% of revenue).

What it means is that the income of Trump's political ally as CEO for a year is 13 times the total income of his company for the year. You ask, with a total company revenue of only $3.6 million, giving him $1.6 million in cash, who pays for the rest?

$DJT hodler
See original
Why are we talking about changing the dealer again $ETH Didn't we say we changed the dealer last November? Changing dealers is more frequent than changing outfits Treating E as a small imitation and changing it whenever you want?
Why are we talking about changing the dealer again $ETH
Didn't we say we changed the dealer last November?
Changing dealers is more frequent than changing outfits
Treating E as a small imitation and changing it whenever you want?
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