哈哈哈1
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Wow
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The concept of 'Rational Studies' is not a standard or commonly used academic classification in the Chinese context, so we need to clarify what 'Rational Studies' refers to. Literally understood, 'Rational Studies' may relate to the following fields:
Research on rationality in philosophy (especially discussions on cognition and rational behavior);
Cognitive psychology in psychology;
Higher cognitive functions in neuroscience (such as decision-making, reasoning);
Logic and Thinking Science;
Modeling rational behavior in artificial intelligence.
Below are some possible categories and recommendations for books that may align with your understanding of 'Rational Studies':
Research on rationality in philosophy (especially discussions on cognition and rational behavior);
Cognitive psychology in psychology;
Higher cognitive functions in neuroscience (such as decision-making, reasoning);
Logic and Thinking Science;
Modeling rational behavior in artificial intelligence.
Below are some possible categories and recommendations for books that may align with your understanding of 'Rational Studies':
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Don't want to make money here?
I say it's a blessing for retail investors, who agrees, who disagrees?
6
Is this order okay?🌞
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Hedging and Leverage
Originally, I had quit contracts, but with this fee, I must arrange a trade. At a position opened at 1.62, can I make a profit?
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You can try, I think
I have some spare money and want to buy 58,228,306,643 tokens for 24,000 RMB. I feel it will rise to 10 dollars. What do you all think, should I buy 14,939,747,999 instead???
81911171004
81911171004
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Scammer?
Cool down: $TRUMP
After this, I don't plan to call short-term trades anymore. I have seriously affected the market. I intend to only call long-term trades in the big direction from now on, and then return to my old business, directly collaborating with large funds to earn a 50-50 split. I don't plan to share market trends on Twitter anymore. This round of Trump is a typical example. Originally, it was supposed to rise to 14. I called it long at 12.5, then it went up to 13.4 and dropped back down. Initially, I thought about opening a short position at 14. All the coins didn't drop as much as Trump, indicating that the market makers are targeting us.
If I continue to call short-term trades, everyone will end up losing money. Please understand, I will look for private collaborations to make money quietly on my own. This round of Trump is just to take down our cool family.
After this, I don't plan to call short-term trades anymore. I have seriously affected the market. I intend to only call long-term trades in the big direction from now on, and then return to my old business, directly collaborating with large funds to earn a 50-50 split. I don't plan to share market trends on Twitter anymore. This round of Trump is a typical example. Originally, it was supposed to rise to 14. I called it long at 12.5, then it went up to 13.4 and dropped back down. Initially, I thought about opening a short position at 14. All the coins didn't drop as much as Trump, indicating that the market makers are targeting us.
If I continue to call short-term trades, everyone will end up losing money. Please understand, I will look for private collaborations to make money quietly on my own. This round of Trump is just to take down our cool family.
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This question can be understood and modeled from multiple physical, mathematical, and philosophical dimensions. Here are several typical paradigms of 'difficulty' that attempt to comprehensively analyze this issue:
1. Incompleteness of information and difficulties in prediction (mathematical perspective)
Many human behaviors are based on making decisions with incomplete information.
In the Bayesian framework, such decisions require the ability to estimate prior distributions and likelihood functions, but in reality, there are often 'black swan' events (proposed by Taleb).
Examples: Financial markets, life planning, medical diagnosis.
Challenge: The ability to predict future states is limited by noise, nonlinearity, and the curse of dimensionality.
1. Incompleteness of information and difficulties in prediction (mathematical perspective)
Many human behaviors are based on making decisions with incomplete information.
In the Bayesian framework, such decisions require the ability to estimate prior distributions and likelihood functions, but in reality, there are often 'black swan' events (proposed by Taleb).
Examples: Financial markets, life planning, medical diagnosis.
Challenge: The ability to predict future states is limited by noise, nonlinearity, and the curse of dimensionality.
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Understood, we can build a complete automated trading system with core functions including: --- System goals 1. Real-time monitoring of Binance delisting announcements (Delisting Announcements) 2. Filter currencies in the 'price increase status'
Understood, we can build a complete automated trading system with core functions including:
System goals
Real-time monitoring of Binance delisting announcements (Delisting Announcements)
Filter currencies in the 'price increase status'
Trigger contract buy based on conditions (Binance Futures)
Integrate profit-taking and stop-loss logic and position management
System architecture module design
1. Information scraping module
Regularly scrape 'delisting' announcements from the Binance announcement page (e.g.: https://www.binance.com/en/support/announcement）
Extract currency symbols (e.g., MDX, WAVES, XMR, etc.)
System goals
Real-time monitoring of Binance delisting announcements (Delisting Announcements)
Filter currencies in the 'price increase status'
Trigger contract buy based on conditions (Binance Futures)
Integrate profit-taking and stop-loss logic and position management
System architecture module design
1. Information scraping module
Regularly scrape 'delisting' announcements from the Binance announcement page (e.g.: https://www.binance.com/en/support/announcement）
Extract currency symbols (e.g., MDX, WAVES, XMR, etc.)
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Will you take a look?
Human 'hard needs' can be understood as the essential underlying needs for maintaining life, survival, and basic social existence. These needs are characterized by physicality, necessity, continuity, and irreplaceability. Based on Maslow's hierarchy of needs theory and systems theory perspective, we can categorize hard needs into several levels, conceptually expanding from the bottom up:
1. Physiological hard needs (maintaining individual life)
Air (oxygen): death can occur within a few minutes without it.
Moisture: dehydration may lead to death within 3 days.
Food (energy): provides sugars, fats, and proteins to maintain metabolism.
1. Physiological hard needs (maintaining individual life)
Air (oxygen): death can occur within a few minutes without it.
Moisture: dehydration may lead to death within 3 days.
Food (energy): provides sugars, fats, and proteins to maintain metabolism.
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It seems that the reasoning is correct
The following two images are not mine, but they are similar to my previous experiences. The weakness of human nature is to go down the same path until the end, unable to stop when facing losses. Because human nature tells itself that it can definitely win back. And then it gets deeper and deeper. Even if the money lost is used to buy a coin that everyone criticizes, even if it drops 98%, it is still less than the losses from contracts. So why can't retail investors hold onto trash coins? Isn't holding trash coins better than contracts? Both result in losses, trash coins cannot be liquidated, but they can be delisted. If they get delisted, they get delisted; when they do, they might increase dozens of times. Did you really lose money? The biggest zero-value coin in the crypto world is the contract, so I want to tell everyone one thing: don't criticize this trash coin or that scam coin every day. These trash and scam coins are much better than contracts. If you want to make money in the crypto world, you must know that you cannot go to zero; if you go to zero, there will definitely be no chance. In these years, I lost all the money I earned in 2021 in contract liquidations, and only after leaving did I realize how good trash coins are and how good spot trading is! Cherish every step... Spot trading is the true king; spot trading has painful losses but it won’t be as torturous as contracts, and it won’t go to zero...
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Hahaha, it seems like we can't see each other, right?
Is there any master who can tell me whether I can still see tomorrow's sun? I'm waiting online and it's quite urgent.
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低市值 没什么成交量的？
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Free Distribution
Your idea is very close to the core logic of risk-free arbitrage, but we must rigorously analyze this process with physical and mathematical continuous thinking. What you described is a price difference locking at open position + return to close position arbitrage model, which seems risk-free but actually hides several key variables and risks:
1. The arbitrage logic you described (cross-platform Delta Neutral model):
Observe the price convergence of the two platforms
Binance, Hyperliquid: Assume prices are around $97,470
Simultaneously open positions on both sides
Buy 1 BTC on Binance (long position, holding coins)
1. The arbitrage logic you described (cross-platform Delta Neutral model):
Observe the price convergence of the two platforms
Binance, Hyperliquid: Assume prices are around $97,470
Simultaneously open positions on both sides
Buy 1 BTC on Binance (long position, holding coins)
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When **short liquidation (short squeeze)** occurs, it usually triggers a series of chain reactions, analyzed from the perspectives of physical and financial mechanics as follows:
1. The essence of short liquidation
Short sellers borrow assets (such as Bitcoin) to sell, expecting to buy back after the price drops, thereby profiting from the difference.
When prices rise instead of falling, short sellers face increasing losses, and once the margin is insufficient, they will be forcibly liquidated by the exchange (margin call).
2. The 'positive feedback mechanism' of accelerating price increases
This is a nonlinear dynamic system, forming a process similar to 'compressed spring release':
1. The essence of short liquidation
Short sellers borrow assets (such as Bitcoin) to sell, expecting to buy back after the price drops, thereby profiting from the difference.
When prices rise instead of falling, short sellers face increasing losses, and once the margin is insufficient, they will be forcibly liquidated by the exchange (margin call).
2. The 'positive feedback mechanism' of accelerating price increases
This is a nonlinear dynamic system, forming a process similar to 'compressed spring release':
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我去卸载
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《学会提问（原书第12版·百万纪念珍藏版）》这本书不错，推荐给你听
https://weread.qq.com/book-detail?type=1&senderVid=1705458&v=d6b32920813ab87dag017763
https://weread.qq.com/book-detail?type=1&senderVid=1705458&v=d6b32920813ab87dag017763
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This is a topic worth discussing in depth. From the perspectives of physicality, mathematical rigor, and systematic thinking, we can layer our analysis of the question 'Will AI innovate?'
1. Define 'innovation'
Philosophical Perspective:
Innovation can be understood as the emergence of thought results or structures that have never appeared before, involving 'non-linear combinations', 'paradigm mutations', 'multi-dimensional analogies', and 'creative recombination'.
Mathematical Perspective:
Innovation can be seen as a leap to non-local extrema in the solution space, or a sudden transition to previously unreachable subspaces in a high-dimensional optimization problem.
1. Define 'innovation'
Philosophical Perspective:
Innovation can be understood as the emergence of thought results or structures that have never appeared before, involving 'non-linear combinations', 'paradigm mutations', 'multi-dimensional analogies', and 'creative recombination'.
Mathematical Perspective:
Innovation can be seen as a leap to non-local extrema in the solution space, or a sudden transition to previously unreachable subspaces in a high-dimensional optimization problem.
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Increase Knowledge, Is That Good?
In the crypto space, there is no unified 'joint matching trading system', like the central counterparties (CCP) or central exchanges that concentrate all trades in traditional securities markets. The matching mechanisms for cryptocurrency trading are typically divided into the following categories:
1. Centralized exchanges (CEXs) match independently and do not share
For example, Binance, OKX, Coinbase, etc., each have their own independent matching engines and order books, and matching only occurs internally on that platform. In other words, if you place an order on OKX, Binance users will not see your order.
1. Centralized exchanges (CEXs) match independently and do not share
For example, Binance, OKX, Coinbase, etc., each have their own independent matching engines and order books, and matching only occurs internally on that platform. In other words, if you place an order on OKX, Binance users will not see your order.
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To avoid losing money because of this in the future
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