刹那芳华
Open Trade
Occasional Trader
10.8 Months
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Go for it
If we miss a bus, we can wait. If we miss a meal, we can make another appointment. If we miss a person, it may be a lifetime. If we miss an opportunity, it may be another kind of life! #加密市场反弹 #加密市场观察 #美联储FOMC会议
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#加密市场观察 $ETH Year-end market is crazy! Bitcoin just broke through the 91,000 mark and staged a 'roller coaster' again, with ETH and SOL surging over 7% in a single day. Meanwhile, 580,000 people suffered liquidation, with 1.7 billion in funds evaporating overnight, and the battle between bulls and bears is comparable to a celestial fight 🔥
The Federal Reserve's interest rate cut decision is imminent, with an 85% probability of a 25 basis point cut, causing the market's heartbeat to accelerate—funds are wildly switching between risk assets and safe-haven varieties, with US stocks and gold fluctuating in sync, making the crypto market the most thrilling 'emotional barometer'. On one side, the CFTC's new policy has officially included BTC and ETH as compliant collateral, while Hong Kong's Hash Key IPO aims to become a regional digital asset hub; on the other side, whale transfers and index removal turmoil hide uncertainties, and the tug-of-war between regulation and innovation has never stopped.
The Fear and Greed Index still hovers in the 'extreme fear' range at 22, but institutional funds have been quietly positioning themselves, and ETF fund flows are subtly reversing. Is it the right time to buy the dip, or is the consolidation still ongoing? Follow #CryptoMarketObservation to decode the market volatility, see through regulatory trends, avoid liquidation traps, and maintain your rhythm in a high-volatility market~ Do you think it can break through the 100,000 mark before the end of the year? Come to the comments section to discuss your judgment!
{spot}(LUNCUSDT)
{spot}(ZECUSDT)
{spot}(XTZUSDT)
The Federal Reserve's interest rate cut decision is imminent, with an 85% probability of a 25 basis point cut, causing the market's heartbeat to accelerate—funds are wildly switching between risk assets and safe-haven varieties, with US stocks and gold fluctuating in sync, making the crypto market the most thrilling 'emotional barometer'. On one side, the CFTC's new policy has officially included BTC and ETH as compliant collateral, while Hong Kong's Hash Key IPO aims to become a regional digital asset hub; on the other side, whale transfers and index removal turmoil hide uncertainties, and the tug-of-war between regulation and innovation has never stopped.
The Fear and Greed Index still hovers in the 'extreme fear' range at 22, but institutional funds have been quietly positioning themselves, and ETF fund flows are subtly reversing. Is it the right time to buy the dip, or is the consolidation still ongoing? Follow #CryptoMarketObservation to decode the market volatility, see through regulatory trends, avoid liquidation traps, and maintain your rhythm in a high-volatility market~ Do you think it can break through the 100,000 mark before the end of the year? Come to the comments section to discuss your judgment!
{spot}(LUNCUSDT)
{spot}(ZECUSDT)
{spot}(XTZUSDT)
1
#一直空一直爽
$XNY has dropped quite a bit, hasn't it? Can we increase it now?
$XRP $BNB
$XNY has dropped quite a bit, hasn't it? Can we increase it now?
$XRP $BNB
yes
TUESDAY GIFT TUESDAY GIFT 🎁
RED RED RED RED
PACKETS PACKETS
🧧🧧🧧🧧🧧🧧🧧🧧
🌹🌹🌹🌹🌹🌹🌹🌹
✅✅✅✅✅✅✅✅
#BTCVSGOLD #BinanceBlockchainWeek #BTC走势分析 #ETH $BNB
{future}(BNBUSDT)
RED RED RED RED
PACKETS PACKETS
🧧🧧🧧🧧🧧🧧🧧🧧
🌹🌹🌹🌹🌹🌹🌹🌹
✅✅✅✅✅✅✅✅
#BTCVSGOLD #BinanceBlockchainWeek #BTC走势分析 #ETH $BNB
{future}(BNBUSDT)
yes
GIFT GIFT BIG GIFT
RED PACKET RED PACKET
CLAIM CLAIM CLAIM
🎁🎁🎁🎁🎁🎁🎁🎁🎁🎁
🧧🧧🧧🧧🧧🧧🧧🧧🧧🧧
✅✅✅✅✅✅✅✅✅✅
#BTCVSGOLD #TrumpTariffs #WriteToEarnUpgrade #LUNA #LUNC✅
$LUNA $USDC
{spot}(USDCUSDT)
{spot}(LUNAUSDT)
RED PACKET RED PACKET
CLAIM CLAIM CLAIM
🎁🎁🎁🎁🎁🎁🎁🎁🎁🎁
🧧🧧🧧🧧🧧🧧🧧🧧🧧🧧
✅✅✅✅✅✅✅✅✅✅
#BTCVSGOLD #TrumpTariffs #WriteToEarnUpgrade #LUNA #LUNC✅
$LUNA $USDC
{spot}(USDCUSDT)
{spot}(LUNAUSDT)
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Satoshi Nakamoto
🎁Satoshi Nakamoto: The Ultimate Mystery of the Crypto World
In the 2008 financial tsunami, he threw down the Bitcoin white paper, embedding a satire of old finance in the genesis block. 1.1 million Bitcoins (over 60 billion USD) sealed on the chain, suddenly disappearing after the WikiLeaks incident in 2010.
For over a decade, countless suspects have been debunked, and AI tracing and blockchain tracking have yielded no results. He practiced decentralization through disappearance, making "Who is Satoshi Nakamoto" an eternal mystery—perhaps, we who believe in free finance are all Satoshi Nakamoto.
#加密市场反弹 #meme板块关注热点 #中本聪 $BNB $BTC $SOL
In the 2008 financial tsunami, he threw down the Bitcoin white paper, embedding a satire of old finance in the genesis block. 1.1 million Bitcoins (over 60 billion USD) sealed on the chain, suddenly disappearing after the WikiLeaks incident in 2010.
For over a decade, countless suspects have been debunked, and AI tracing and blockchain tracking have yielded no results. He practiced decentralization through disappearance, making "Who is Satoshi Nakamoto" an eternal mystery—perhaps, we who believe in free finance are all Satoshi Nakamoto.
#加密市场反弹 #meme板块关注热点 #中本聪 $BNB $BTC $SOL
yes
Good morning guys ☺️🌞 Love u all ❣️
claim 🧧 from comments
Free Gift for you Guys
claim fast 😀
#Linea
claim 🧧 from comments
Free Gift for you Guys
claim fast 😀
#Linea
yes
Hey beautiful peoples 💖 Claim 🎁👈
claim Red packet from comments 👇
Claim fast🧧
claim Red packet from comments 👇
Claim fast🧧
888
The South African Mirror Trading International (referred to as MTI) cryptocurrency scam was the largest investment scam globally in 2020 and is one of the largest Ponzi schemes in South Africa's history, involving a scale far exceeding the initially mentioned $589 million.
In 2019, Johann Steinberg founded MTI in South Africa, falsely claiming to possess an artificial intelligence trading robot capable of conducting Bitcoin forex trading through high-frequency algorithms. The platform claimed that investors could participate with a minimum deposit of $100 worth of Bitcoin and promised a daily return rate of 0.5% (equating to an annual return of 500%), while also employing a multi-level marketing model with referral rewards, attracting around 260,000 investors from 140 countries during the pandemic in 2020.
In September 2020, a hacker organization and investigative journalists exposed vulnerabilities in the MTI website, revealing fraudulent trading data. In December of the same year, CEO Johann Steinberg went missing after absconding to Brazil with funds, leading to MTI's cessation of payouts and collapse; the platform was temporarily liquidated that month, and a final liquidation order was issued by the court in June 2021. Subsequent investigations confirmed that the so-called AI trading system did not exist, with only a small amount of funds being invested and all of it incurring losses; the platform essentially relied on the funds of new investors to pay “returns” to old investors.
Upon verification, approximately 29,000 - 46,000 Bitcoins flowed through this scam. The U.S. Commodity Futures Trading Commission (CFTC) ruled that it must compensate victims $1.7 billion and imposed an additional $1.7 billion fine, the highest civil penalty in CFTC history. The liquidation agency recovered 1,281 Bitcoins from affiliated brokers, which were liquidated to provide refunds to victims. Johann Steinberg was arrested in Brazil in December 2021 for forging identification documents and passed away due to a heart condition triggered by a pulmonary embolism while under house arrest awaiting extradition in April 2024. The follow-up recovery work related to the case is continuously being pursued by the liquidation agency.
In 2019, Johann Steinberg founded MTI in South Africa, falsely claiming to possess an artificial intelligence trading robot capable of conducting Bitcoin forex trading through high-frequency algorithms. The platform claimed that investors could participate with a minimum deposit of $100 worth of Bitcoin and promised a daily return rate of 0.5% (equating to an annual return of 500%), while also employing a multi-level marketing model with referral rewards, attracting around 260,000 investors from 140 countries during the pandemic in 2020.
In September 2020, a hacker organization and investigative journalists exposed vulnerabilities in the MTI website, revealing fraudulent trading data. In December of the same year, CEO Johann Steinberg went missing after absconding to Brazil with funds, leading to MTI's cessation of payouts and collapse; the platform was temporarily liquidated that month, and a final liquidation order was issued by the court in June 2021. Subsequent investigations confirmed that the so-called AI trading system did not exist, with only a small amount of funds being invested and all of it incurring losses; the platform essentially relied on the funds of new investors to pay “returns” to old investors.
Upon verification, approximately 29,000 - 46,000 Bitcoins flowed through this scam. The U.S. Commodity Futures Trading Commission (CFTC) ruled that it must compensate victims $1.7 billion and imposed an additional $1.7 billion fine, the highest civil penalty in CFTC history. The liquidation agency recovered 1,281 Bitcoins from affiliated brokers, which were liquidated to provide refunds to victims. Johann Steinberg was arrested in Brazil in December 2021 for forging identification documents and passed away due to a heart condition triggered by a pulmonary embolism while under house arrest awaiting extradition in April 2024. The follow-up recovery work related to the case is continuously being pursued by the liquidation agency.
666
Thank you for the encounter, grateful for the meeting, thank you Binance for providing such a great platform, let's work together to make Binance Square better and better #加密市场反弹 #美联储重启降息步伐 #美SEC推动加密创新监管 🌹🌹🌹🌹🌹🌹
cc
The BitConnect scam was a classic cryptocurrency Ponzi scheme that ran from 2016 to 2018, involving an amount of $2.4 billion and affecting investors from 95 countries.
The founders, Satish Kumbhani and others, created the cryptocurrency lending platform BitConnect, fabricating the concepts of "exclusive trading bots" and "volatility software." They claimed that once investors deposited their funds with the platform, this system could profit by capturing fluctuations in the cryptocurrency market, also promising daily interest of about 1% and monthly interest of up to 40% in compound returns, thus attracting a large number of investors. In the investment process, investors needed to first transfer Bitcoin to a wallet controlled by the platform, exchange it for the platform-issued BCC tokens, and then "lend" them to the platform to obtain the so-called "returns."
Investigations confirmed that the platform had no trading technology capable of delivering high returns, and the so-called trading bots were merely a facade for the scam. Its essence was to use the funds from new investors to pay the "returns" to old investors, while the team would also manipulate the price of BCC tokens, creating a false impression of high demand for the tokens and the reliability of the investment. During this time, the price of BCC tokens once soared to over $400, and the platform's peak market value reached $3.4 billion.
In early 2018, the Texas Securities Commission and regulators from multiple countries noticed anomalies, issuing an emergency ban on the platform and launching an investigation. In January of the same year, the platform was forced to suddenly shut down its core lending operations, leading to a 92% plunge in the price of BCC tokens within 24 hours, with its market value evaporating by $2.6 billion, causing countless investors to suffer heavy losses.
After the scam was exposed, those involved were pursued globally. Glenn Arcaro, a major promoter in the U.S., was sentenced to 38 months in prison and ordered to compensate 800 victims with $17 million; founder Satish Kumbhani was indicted by the U.S. Department of Justice in 2022 but remains at large. In February 2025, the Indian Enforcement Directorate seized $198 million in cryptocurrency and some cash, luxury cars, and other assets related to the scam, but a significant amount of investor losses worldwide have still not been recovered. Additionally, the scam has triggered multiple class-action lawsuits and has prompted improvements in subsequent cryptocurrency regulatory rules in various countries.
The founders, Satish Kumbhani and others, created the cryptocurrency lending platform BitConnect, fabricating the concepts of "exclusive trading bots" and "volatility software." They claimed that once investors deposited their funds with the platform, this system could profit by capturing fluctuations in the cryptocurrency market, also promising daily interest of about 1% and monthly interest of up to 40% in compound returns, thus attracting a large number of investors. In the investment process, investors needed to first transfer Bitcoin to a wallet controlled by the platform, exchange it for the platform-issued BCC tokens, and then "lend" them to the platform to obtain the so-called "returns."
Investigations confirmed that the platform had no trading technology capable of delivering high returns, and the so-called trading bots were merely a facade for the scam. Its essence was to use the funds from new investors to pay the "returns" to old investors, while the team would also manipulate the price of BCC tokens, creating a false impression of high demand for the tokens and the reliability of the investment. During this time, the price of BCC tokens once soared to over $400, and the platform's peak market value reached $3.4 billion.
In early 2018, the Texas Securities Commission and regulators from multiple countries noticed anomalies, issuing an emergency ban on the platform and launching an investigation. In January of the same year, the platform was forced to suddenly shut down its core lending operations, leading to a 92% plunge in the price of BCC tokens within 24 hours, with its market value evaporating by $2.6 billion, causing countless investors to suffer heavy losses.
After the scam was exposed, those involved were pursued globally. Glenn Arcaro, a major promoter in the U.S., was sentenced to 38 months in prison and ordered to compensate 800 victims with $17 million; founder Satish Kumbhani was indicted by the U.S. Department of Justice in 2022 but remains at large. In February 2025, the Indian Enforcement Directorate seized $198 million in cryptocurrency and some cash, luxury cars, and other assets related to the scam, but a significant amount of investor losses worldwide have still not been recovered. Additionally, the scam has triggered multiple class-action lawsuits and has prompted improvements in subsequent cryptocurrency regulatory rules in various countries.
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Good morning! A new day, running with Bitroot in the Web3 track, without worrying about the current pace. Every technical iteration and every round of community consensus are stepping stones toward our goals. Stay passionate, move forward with determination, and our shining moment will eventually come! #加密市场反弹 #ETH走势分析 #加密市场观察
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666
🧧🧧🧧🧧🧧🧧🧧🧧🧧🧧🧧
I love Binance Square
I love allindoge
I love Binance Square
I love allindoge
666
Follow, share, and receive red envelopes🧧🧧🧧🧧
I love Binance Square, I love allindoge!
I love Binance Square, I love allindoge!
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学习技术
How to determine support level buy points for Bitcoin?
Core methods for finding support levels
The following are several commonly used methods to determine Bitcoin support levels:
1. Historical lows/multiple touchpoints
Look for points on the price chart where lows occur multiple times. When the price reaches a certain level and stops falling, then rebounds, that level is a potential support level. The more times it has been touched, the stronger the support level usually is.
• Bottom (trough): Connect the most recent or significant lows on the chart; the area formed by these lows is key support.
2. Trendlines
In an uptrend, connect consecutive higher lows to form an upward trendline. This trendline often serves as dynamic support when prices pull back.
The following are several commonly used methods to determine Bitcoin support levels:
1. Historical lows/multiple touchpoints
Look for points on the price chart where lows occur multiple times. When the price reaches a certain level and stops falling, then rebounds, that level is a potential support level. The more times it has been touched, the stronger the support level usually is.
• Bottom (trough): Connect the most recent or significant lows on the chart; the area formed by these lows is key support.
2. Trendlines
In an uptrend, connect consecutive higher lows to form an upward trendline. This trendline often serves as dynamic support when prices pull back.
Translate
学习技术
How to determine support level buy points for Bitcoin?
Core methods for finding support levels
The following are several commonly used methods to determine Bitcoin support levels:
1. Historical lows/multiple touchpoints
Look for points on the price chart where lows occur multiple times. When the price reaches a certain level and stops falling, then rebounds, that level is a potential support level. The more times it has been touched, the stronger the support level usually is.
• Bottom (trough): Connect the most recent or significant lows on the chart; the area formed by these lows is key support.
2. Trendlines
In an uptrend, connect consecutive higher lows to form an upward trendline. This trendline often serves as dynamic support when prices pull back.
The following are several commonly used methods to determine Bitcoin support levels:
1. Historical lows/multiple touchpoints
Look for points on the price chart where lows occur multiple times. When the price reaches a certain level and stops falling, then rebounds, that level is a potential support level. The more times it has been touched, the stronger the support level usually is.
• Bottom (trough): Connect the most recent or significant lows on the chart; the area formed by these lows is key support.
2. Trendlines
In an uptrend, connect consecutive higher lows to form an upward trendline. This trendline often serves as dynamic support when prices pull back.
Translate
币相对A股制度性的优势
Reasons to Play Cryptocurrency Instead of A-shares!
Both are games of human nature, but why don't I play the stock market? Because A-shares have systemic disadvantages that are very unfavorable for retail investors. 1. Uncontrollable risk,
1. T+1 system, you can only sell the stock the next day after buying it today; even if I bought it today and know it will drop, I cannot stop the loss.
2. The market is not continuous for 24 hours, often experiencing gaps where it opens lower or higher, making it difficult to stop losses in time, and the risk is hard to control.
2. Single direction of operation
Retail investors basically only buy long positions and cannot short sell, leading to limited opportunities and an inability to create stable arbitrage strategies.
3. Low capital utilization
The stock market can only be leveraged, and if you see the right opportunity, you cannot adjust the leverage yourself to amplify the gains.
4. Easy manipulation by large players
1. The stock market only has spot trading, which is very suitable for institutions to manipulate the market.
5. The fairness of retail investors compared to institutions is very poor
Institutions have channels for short selling, can hedge risks, and can implement many investment strategies. It is difficult for retail investors to have channels for short selling, and institutions also have advantages in capital, information, and other asymmetries.
Conclusion: In terms of fairness, retail investors are worse off than the casinos in Macau.
The trading system in the cryptocurrency circle can largely compensate for the disadvantages of A-shares. #ETH走势分析 $ETH
Both are games of human nature, but why don't I play the stock market? Because A-shares have systemic disadvantages that are very unfavorable for retail investors. 1. Uncontrollable risk,
1. T+1 system, you can only sell the stock the next day after buying it today; even if I bought it today and know it will drop, I cannot stop the loss.
2. The market is not continuous for 24 hours, often experiencing gaps where it opens lower or higher, making it difficult to stop losses in time, and the risk is hard to control.
2. Single direction of operation
Retail investors basically only buy long positions and cannot short sell, leading to limited opportunities and an inability to create stable arbitrage strategies.
3. Low capital utilization
The stock market can only be leveraged, and if you see the right opportunity, you cannot adjust the leverage yourself to amplify the gains.
4. Easy manipulation by large players
1. The stock market only has spot trading, which is very suitable for institutions to manipulate the market.
5. The fairness of retail investors compared to institutions is very poor
Institutions have channels for short selling, can hedge risks, and can implement many investment strategies. It is difficult for retail investors to have channels for short selling, and institutions also have advantages in capital, information, and other asymmetries.
Conclusion: In terms of fairness, retail investors are worse off than the casinos in Macau.
The trading system in the cryptocurrency circle can largely compensate for the disadvantages of A-shares. #ETH走势分析 $ETH
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读懂了
To play contracts, one must understand the difference between leverage in the crypto world and real leverage.
In cryptocurrency contract trading, two types of 'leverage' are usually mentioned:
1. Nominal leverage set by the trading platform (Nominal Leverage)
• Definition: This is the maximum leverage multiple that trading platforms (such as Binance, OKEx, etc.) allow users to choose, usually displayed on the trading interface, such as 5x, 10x, 50x, 100x, or even 125x.
• Function: It determines the nominal value of the position you can theoretically open with a certain margin.
• Formula: Nominal Leverage = \frac{Nominal Value of Position}{Required Initial Margin}
• Characteristics:
• This is a fixed, preset, optional maximum multiple.
1. Nominal leverage set by the trading platform (Nominal Leverage)
• Definition: This is the maximum leverage multiple that trading platforms (such as Binance, OKEx, etc.) allow users to choose, usually displayed on the trading interface, such as 5x, 10x, 50x, 100x, or even 125x.
• Function: It determines the nominal value of the position you can theoretically open with a certain margin.
• Formula: Nominal Leverage = \frac{Nominal Value of Position}{Required Initial Margin}
• Characteristics:
• This is a fixed, preset, optional maximum multiple.
1
#加密市场反弹 Share this with your friends. In addition to receiving BTC gifts every day, you also have the opportunity to participate in a BTC lottery draw once.
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