LIVEYTDiscovery
@YTDiscovery
🟠小红书/B站：元探Discovery | 🔵推特@YTDiscovery921 | 香港某区块链实验室研究Blockchain & AI
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【Safe withdrawal in the cryptocurrency circle】-Sharing based on practical experience
Seeing that many people are paying attention to Xiao Erduo's post, it shows that people are still very concerned about the safe withdrawal of cryptocurrencies. I am a person who likes to tinker, and I have opened a lot of accounts in exchanges, banks, securities companies, and financial institutions. Many common channels on the market are either unsafe or have high losses. How can I withdraw funds safely with the least amount of money?
The reason why C2C is unsafe is that the path of funds is from individual to oneself, which makes it easy to receive black money. Therefore, the core of security is actually to add an institution in this process, that is, the path becomes any entity → institution → oneself. With this idea, you can actually DIY the so-called safe withdrawal path at will. Of course, the institution in the middle needs to be as compliant and safe as possible.
The reason why C2C is unsafe is that the path of funds is from individual to oneself, which makes it easy to receive black money. Therefore, the core of security is actually to add an institution in this process, that is, the path becomes any entity → institution → oneself. With this idea, you can actually DIY the so-called safe withdrawal path at will. Of course, the institution in the middle needs to be as compliant and safe as possible.
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Although the overall market is very bad from the indicators, ETF spot has been outflowing for many consecutive days, and the fear and greed index has immediately fallen to fear, but
Metaplanet, a Japanese listed company, announced that its board of directors has approved the use of 1 billion yen (about 6.26 million US dollars) to purchase Bitcoin.
The address starting with 0xdbf is suspected to be Justin Sun. 4,629 ETH were withdrawn from Binance today, with an average price of 3,472 US dollars.
Is the bull really gone? Or is it the calm before the big rage?
#ETH🔥🔥🔥🔥
Metaplanet, a Japanese listed company, announced that its board of directors has approved the use of 1 billion yen (about 6.26 million US dollars) to purchase Bitcoin.
The address starting with 0xdbf is suspected to be Justin Sun. 4,629 ETH were withdrawn from Binance today, with an average price of 3,472 US dollars.
Is the bull really gone? Or is it the calm before the big rage?
#ETH🔥🔥🔥🔥
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Using CMC's API and Deflama's data to look at OKX's recent fund flows and 24-hour trading volume changes, I have to say that this wave of negative impact on OK is quite large.
On the 8th, it fell two-thirds from its high point. Based on the contract fee of 0.02%, it lost $4 million directly. After excluding the commission fee, assuming that OKX itself only takes 50%, it lost $2 million. No wonder Xu himself was involved.
On the 8th, it fell two-thirds from its high point. Based on the contract fee of 0.02%, it lost $4 million directly. After excluding the commission fee, assuming that OKX itself only takes 50%, it lost $2 million. No wonder Xu himself was involved.
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The on-chain transfer I monitored on the 31st turned out to be an investment. Not only did I know about the investment, I also knew about the first 300,000 U. If I had arranged it four days in advance, I would definitely have pork trotter rice by now!
LIVEYTDiscovery
--
DWF transferred 300,000 USDT to the address of the suspected $SIDUS project two hours ago, and the price has been falling for 8 consecutive days. Is this preparing to pull the market? I'm betting on some contracts with a small position~
It is suspected that this label is because I typed it myself. I saw that this address called the token main contract through the proxy contract, and it is likely to be the project party~
#meme板块关注热点 #GameFi
It is suspected that this label is because I typed it myself. I saw that this address called the token main contract through the proxy contract, and it is likely to be the project party~
#meme板块关注热点 #GameFi
See original
DWF transferred 300,000 USDT to the address of the suspected $SIDUS project two hours ago, and the price has been falling for 8 consecutive days. Is this preparing to pull the market? I'm betting on some contracts with a small position~
It is suspected that this label is because I typed it myself. I saw that this address called the token main contract through the proxy contract, and it is likely to be the project party~
#meme板块关注热点 #GameFi
It is suspected that this label is because I typed it myself. I saw that this address called the token main contract through the proxy contract, and it is likely to be the project party~
#meme板块关注热点 #GameFi
See original
DWF has made it clear that they are entering the meme market. Their head said on Twitter that they are in talks with some meme projects and will provide funds to help their development.
One hour ago, DWF transferred 5 million USDT to LADYS. The copycat season is really coming!!!
$NOT $BOME
#山寨季何时到来？ #内容挖空
One hour ago, DWF transferred 5 million USDT to LADYS. The copycat season is really coming!!!
$NOT $BOME
#山寨季何时到来？ #内容挖空
See original
$NOT rose so fast, was it DWF that made the market? The head of DWF sent a tweet, and NOT liked it.
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Particle Launchpad $24,350,000
The joint activities of Particle Launchpad and Bitlayer include four projects: Lorenzo ($LRZ), bitCow ($BCOW), Avalon Finance ($AVAF) and Pell ($PELL), with a total of $24,350,000 worth of tokens distributed, and new users will enjoy a 20% bonus.
There is an opportunity to kill two birds with one stone. Many activities of Particle and Bitlayer overlap. Try to participate in Bitlayer activities with the wallet that participates in Particle activities. In addition, Particle Launchpad is a shared points.
Ranking independence is equivalent to completing a project, and the points can still be used to rank and earn tokens in another project.
There is an opportunity to kill two birds with one stone. Many activities of Particle and Bitlayer overlap. Try to participate in Bitlayer activities with the wallet that participates in Particle activities. In addition, Particle Launchpad is a shared points.
Ranking independence is equivalent to completing a project, and the points can still be used to rank and earn tokens in another project.
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Citing Ni's explanation, Grayscale must pass S-3, and the rest must pass S-1.
6. Is it possible to pass only 19b-4 but not all S-1/S-3?
This is possible, but the possibility is very low, because S-1/S-3 are both corporate qualification documents, and it is difficult to completely fail. If there is content that needs to be supplemented, the SEC will require the company to supplement, but there is indeed a possibility that individual institutions will not be passed, but they can still apply after rectification.
7. Is it possible to pass only one individual 19b-4 but not all 19b-4?
This is almost impossible. As mentioned earlier, 19b-4 is an industry standard. Although each company is different, they are all similar and the basis is the same. So if it passes, then it is likely that those who meet the requirements will be passed. This is the case with the 19b-4 that is being continuously updated. So if one company passes, unless there is a fundamental problem with that company, it is likely that it will pass.
8. Is it possible that S-1/S-3 will pass with BlackRock in August?
Theoretically, it is not possible, but in reality it is possible, because once 19b-4 is passed, BlackRock's 19b-4 will also be approved, and there will be no final application by BlackRock in August. However, it does not rule out the possibility that the Federal Reserve will go crazy and have to approve 19b-4 one by one according to the final time. So although it is not possible in theory, it is still possible in reality.
6. Is it possible to pass only 19b-4 but not all S-1/S-3?
This is possible, but the possibility is very low, because S-1/S-3 are both corporate qualification documents, and it is difficult to completely fail. If there is content that needs to be supplemented, the SEC will require the company to supplement, but there is indeed a possibility that individual institutions will not be passed, but they can still apply after rectification.
7. Is it possible to pass only one individual 19b-4 but not all 19b-4?
This is almost impossible. As mentioned earlier, 19b-4 is an industry standard. Although each company is different, they are all similar and the basis is the same. So if it passes, then it is likely that those who meet the requirements will be passed. This is the case with the 19b-4 that is being continuously updated. So if one company passes, unless there is a fundamental problem with that company, it is likely that it will pass.
8. Is it possible that S-1/S-3 will pass with BlackRock in August?
Theoretically, it is not possible, but in reality it is possible, because once 19b-4 is passed, BlackRock's 19b-4 will also be approved, and there will be no final application by BlackRock in August. However, it does not rule out the possibility that the Federal Reserve will go crazy and have to approve 19b-4 one by one according to the final time. So although it is not possible in theory, it is still possible in reality.
LIVEYTDiscovery
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Bullish
Let me share the application status of the current $ETH spot ETF institutions. To be honest, I was numb when I saw Grayscale's holdings. Think about Bitcoin, why did it fall for half a month after the ETF was approved? It's all thanks to Grayscale's daily smashing.
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Trump accepts cryptocurrency donations and directly steps on Biden's red tape. Why did the SEC change its attitude? Because SEC Chairman Gary and Biden are both Democrats, they also want to count votes 😂
See original
Let me share the application status of the current $ETH spot ETF institutions. To be honest, I was numb when I saw Grayscale's holdings. Think about Bitcoin, why did it fall for half a month after the ETF was approved? It's all thanks to Grayscale's daily smashing.
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$Ore - Bitcoin Mining Tutorial on Solana
What is Ore?
$Ore is a mining token on the Solana chain retweeted by the founder of Solana. It has no reservations and is mined fairly. One Ore is produced every minute. It takes forty years to mine 21 million Ore. It is jokingly called $BTC on Solana. The current price of one $Ore is about 853U (fluctuates greatly, between 200-3000)
Dexscreener screenshots
How to dig?
Mining directly through the web page: https://ore.supply/home
Command line mining (Linux or Mac system, follow the following steps)
Install rust environmentcurl https://sh.rustup.rs -sSf | sh Install the Solana development environment
$Ore is a mining token on the Solana chain retweeted by the founder of Solana. It has no reservations and is mined fairly. One Ore is produced every minute. It takes forty years to mine 21 million Ore. It is jokingly called $BTC on Solana. The current price of one $Ore is about 853U (fluctuates greatly, between 200-3000)
Dexscreener screenshots
How to dig?
Mining directly through the web page: https://ore.supply/home
Command line mining (Linux or Mac system, follow the following steps)
Install rust environmentcurl https://sh.rustup.rs -sSf | sh Install the Solana development environment
See original
Model predicts price today
Currency: BNB-USDT contract
Forecast date (Hong Kong time): 2024-02-02
Highest price: 307.29
Lowest price: 295.98
Closing price: 299.73
5% error prediction accuracy:
{"Highest price": "0.94", "Lowest price": "0.99", "Close price": "0.91"}
Interpretation: 20 times leverage, if the lowest price predicted by the model is opened today, the probability of liquidation is 1%. According to the model's predicted highest price, if the short position is opened today, the probability of liquidation is 6%.
#内容挖矿 $BNB #机器学习
Currency: BNB-USDT contract
Forecast date (Hong Kong time): 2024-02-02
Highest price: 307.29
Lowest price: 295.98
Closing price: 299.73
5% error prediction accuracy:
{"Highest price": "0.94", "Lowest price": "0.99", "Close price": "0.91"}
Interpretation: 20 times leverage, if the lowest price predicted by the model is opened today, the probability of liquidation is 1%. According to the model's predicted highest price, if the short position is opened today, the probability of liquidation is 6%.
#内容挖矿 $BNB #机器学习
See original
Model predicts price today
Currency: BNB-USDT contract
Forecast date (Hong Kong time): 2024-02-01
Highest price: 312.32
Lowest price: 300.93
Closing price: 304.48
5% error prediction accuracy:
{"Highest price": "0.94", "Lowest price": "0.99", "Close price": "0.91"}
Interpretation: 20 times leverage, if the lowest price predicted by the model is opened today, the probability of liquidation is 1%. According to the model's predicted highest price, if the short position is opened today, the probability of liquidation is 6%.
#内容挖矿 $BNB
Currency: BNB-USDT contract
Forecast date (Hong Kong time): 2024-02-01
Highest price: 312.32
Lowest price: 300.93
Closing price: 304.48
5% error prediction accuracy:
{"Highest price": "0.94", "Lowest price": "0.99", "Close price": "0.91"}
Interpretation: 20 times leverage, if the lowest price predicted by the model is opened today, the probability of liquidation is 1%. According to the model's predicted highest price, if the short position is opened today, the probability of liquidation is 6%.
#内容挖矿 $BNB
See original
Use a similar method to predict the price of the $BTC contract:
Forecast date (Hong Kong time): 2024-01-31
Highest price: 43343.05
Lowest price: 40987.66
Closing price: 42061.91
(1-Accuracy rate) is the probability of liquidation of short and long positions based on the highest or lowest predicted price
Prediction accuracy rate with error rate of 5.0%: corresponding to 20 times leverage
{'high': '0.76', 'low': '0.71', 'close': '0.70'}
Prediction accuracy rate with an error rate of 10.0%: corresponding to 10 times leverage
{'high': '0.95', 'low': '0.96', 'close': '0.94'}
#内容挖矿
Forecast date (Hong Kong time): 2024-01-31
Highest price: 43343.05
Lowest price: 40987.66
Closing price: 42061.91
(1-Accuracy rate) is the probability of liquidation of short and long positions based on the highest or lowest predicted price
Prediction accuracy rate with error rate of 5.0%: corresponding to 20 times leverage
{'high': '0.76', 'low': '0.71', 'close': '0.70'}
Prediction accuracy rate with an error rate of 10.0%: corresponding to 10 times leverage
{'high': '0.95', 'low': '0.96', 'close': '0.94'}
#内容挖矿
LIVEYTDiscovery
--
Using LSTM neural network to predict BNB contract prices, the accuracy rate exceeds 90%!!!
Model prediction for today: Date (Hong Kong time): 2024-01-29 Opening: 305.38 Highest: 311.98 Lowest: 299.17 Closing: 306.11 According to the test results, if you open a leverage of 20 times and go long at the predicted lowest price that day, your position will be liquidated The probability is only 1%. If you go short according to the highest price predicted for the day, the probability of liquidation is only 6%! ! !
Basic principles of LSTM
LSTM (Long Short-Term Memory Network) is a special type of recurrent neural network (RNN) designed to solve the vanishing or exploding gradient problem encountered by traditional RNNs when processing long sequence data. It controls the flow of information by introducing three gates (forgetting gate, input gate and output gate) and a memory unit, which enables LSTM to effectively save and access long-term dependent information. The structure of these gates gives LSTM the flexibility to add or forget information, thereby more effectively capturing long-term dependencies when processing sequential data such as text or time series.
Basic principles of LSTM
LSTM (Long Short-Term Memory Network) is a special type of recurrent neural network (RNN) designed to solve the vanishing or exploding gradient problem encountered by traditional RNNs when processing long sequence data. It controls the flow of information by introducing three gates (forgetting gate, input gate and output gate) and a memory unit, which enables LSTM to effectively save and access long-term dependent information. The structure of these gates gives LSTM the flexibility to add or forget information, thereby more effectively capturing long-term dependencies when processing sequential data such as text or time series.
See original
Model prediction results: $BNB today’s perpetual contract price
Forecast date (Hong Kong time): 2024-01-31
Highest price: 316.24
Lowest price: 302.35
Closing price: 307.52
Use the model to continue to predict. If you have any other coins that you are interested in, please leave a message. I will also train a model to predict~
#内容挖矿
Forecast date (Hong Kong time): 2024-01-31
Highest price: 316.24
Lowest price: 302.35
Closing price: 307.52
Use the model to continue to predict. If you have any other coins that you are interested in, please leave a message. I will also train a model to predict~
#内容挖矿
LIVEYTDiscovery
--
Bullish
Model prediction results: $BNB today’s perpetual contract price
Forecast date (Hong Kong time): 2024-01-30
Highest price: 315.36
Lowest price: 301.75
Closing price: 309.08
Because the opening price of the next day is actually the closing price of the previous day, it has no predictive significance, so I deleted it~
You can check to see if today’s price corresponds accurately!
#内容挖矿
Forecast date (Hong Kong time): 2024-01-30
Highest price: 315.36
Lowest price: 301.75
Closing price: 309.08
Because the opening price of the next day is actually the closing price of the previous day, it has no predictive significance, so I deleted it~
You can check to see if today’s price corresponds accurately!
#内容挖矿
See original
Model prediction results: $BNB today’s perpetual contract price
Forecast date (Hong Kong time): 2024-01-30
Highest price: 315.36
Lowest price: 301.75
Closing price: 309.08
Because the opening price of the next day is actually the closing price of the previous day, it has no predictive significance, so I deleted it~
You can check to see if today’s price corresponds accurately!
#内容挖矿
Forecast date (Hong Kong time): 2024-01-30
Highest price: 315.36
Lowest price: 301.75
Closing price: 309.08
Because the opening price of the next day is actually the closing price of the previous day, it has no predictive significance, so I deleted it~
You can check to see if today’s price corresponds accurately!
#内容挖矿
LIVEYTDiscovery
--
Using LSTM neural network to predict BNB contract prices, the accuracy rate exceeds 90%!!!
Model prediction for today: Date (Hong Kong time): 2024-01-29 Opening: 305.38 Highest: 311.98 Lowest: 299.17 Closing: 306.11 According to the test results, if you open a leverage of 20 times and go long at the predicted lowest price that day, your position will be liquidated The probability is only 1%. If you go short according to the highest price predicted for the day, the probability of liquidation is only 6%! ! !
Basic principles of LSTM
LSTM (Long Short-Term Memory Network) is a special type of recurrent neural network (RNN) designed to solve the vanishing or exploding gradient problem encountered by traditional RNNs when processing long sequence data. It controls the flow of information by introducing three gates (forgetting gate, input gate and output gate) and a memory unit, which enables LSTM to effectively save and access long-term dependent information. The structure of these gates gives LSTM the flexibility to add or forget information, thereby more effectively capturing long-term dependencies when processing sequential data such as text or time series.
Basic principles of LSTM
LSTM (Long Short-Term Memory Network) is a special type of recurrent neural network (RNN) designed to solve the vanishing or exploding gradient problem encountered by traditional RNNs when processing long sequence data. It controls the flow of information by introducing three gates (forgetting gate, input gate and output gate) and a memory unit, which enables LSTM to effectively save and access long-term dependent information. The structure of these gates gives LSTM the flexibility to add or forget information, thereby more effectively capturing long-term dependencies when processing sequential data such as text or time series.
See original
Using LSTM neural network to predict BNB contract prices, the accuracy rate exceeds 90%!!!
Model prediction for today: Date (Hong Kong time): 2024-01-29 Opening: 305.38 Highest: 311.98 Lowest: 299.17 Closing: 306.11 According to the test results, if you open a leverage of 20 times and go long at the predicted lowest price that day, your position will be liquidated The probability is only 1%. If you go short according to the highest price predicted for the day, the probability of liquidation is only 6%! ! !
Basic principles of LSTM
LSTM (Long Short-Term Memory Network) is a special type of recurrent neural network (RNN) designed to solve the vanishing or exploding gradient problem encountered by traditional RNNs when processing long sequence data. It controls the flow of information by introducing three gates (forgetting gate, input gate and output gate) and a memory unit, which enables LSTM to effectively save and access long-term dependent information. The structure of these gates gives LSTM the flexibility to add or forget information, thereby more effectively capturing long-term dependencies when processing sequential data such as text or time series.
Basic principles of LSTM
LSTM (Long Short-Term Memory Network) is a special type of recurrent neural network (RNN) designed to solve the vanishing or exploding gradient problem encountered by traditional RNNs when processing long sequence data. It controls the flow of information by introducing three gates (forgetting gate, input gate and output gate) and a memory unit, which enables LSTM to effectively save and access long-term dependent information. The structure of these gates gives LSTM the flexibility to add or forget information, thereby more effectively capturing long-term dependencies when processing sequential data such as text or time series.
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DogeArmyComeBack
5.7M views
3,314 Posts
📈Dogecoin to $12? Investor Says This Coin Below $0.10 Will Reach That Price Even Before DOGE Clears $1🦄
Why Dogecoin’s $12 Target Is Far-Fetched
Beyond its popularity and well-known supporters, Dogcoin’s path to $12 is full of challenges. Being a meme-based cryptocurrency, DOGE has sometimes been driven more by social media attention than by inherent technical worth or usefulness. Though its trading volume has stayed strong, there is no obvious market value estimate or use that might drive its price to historically extraordinary levels of $12. Dogecoin battled to top $0.75 even at the height of the 2021 crypto bull run, and it has subsequently settled in lower values. The price of the coin now is somewhat constant, much below past highs. Furthermore, lacking in DeFi and utility-based growth engines driving other cryptocurrencies is Dogecoin. Expecting Dogecoin to hit $12 seems more improbable without these fundamental elements.
Rexas Finance’s Potential to Hit $12 Before Dogecoin Reaches $1
The ambitious project plan and fast presale performance of Rexas Finance make it fit to reach important price benchmarks. Not unusual in the cryptocurrency space, Rexas Finance would have to rise 171-fold from its present $0.07 presale price to reach $12. Rexas Finance is positioned to maintain a steady increase with its utility-orientated approach and outstanding presale numbers. By contrast, dogecoin would have to rise more than six times to get to $1. Given its present price of $0.16 and a 24-hour trading volume devoid of any price movement, Dogecoin’s ascent to $1 looks difficult. With its usability and presale momentum, Rexas Finance is more likely to realize exponential growth that might propel it to double-digit values in the foreseeable future.
#DogeArmyComeBack #FedRateStrategy
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