One chart to understand: What are the differences between the rich in China and the United States??
The rich in the United States can make money, while the rich in China can scoop up money.
Every country has rich people and poor people; it is not scary to have disparities in wealth, but what is concerning is when wealth in a society is not distributed fairly and reasonably.
If we compare or observe the wealth distribution situation between China and the United States, there is an interesting phenomenon: over the past 20 years, the number of wealthy individuals in the United States has increased, while in China, the number of billionaires has surged.
Thus, in the United States, 5% of the population holds 60% of the wealth, whereas in China, 1% of families control 41.4% of the national wealth.
The differences between the rich in China and the United States are significant. This chart was specially created by CICC data to help everyone understand.
1. He claims that the stock market decline is a temporary "small dish" and indicates that the stock market will soon double.
2. He has been working hard to ensure that the United States continues to maintain its position as the world capital of cryptocurrency. Relevant legislation is on the way, and Bitcoin will grant the American people financial freedom.
Recently, I checked some data that sent chills down my spine!!
In 2023, the total birth population was 7.92 million, with a birth rate of 5.63‰; the death population was 11.31 million, with a death rate of 8.04‰; the natural population growth rate was -2.41‰.
On November 15, 2022, the United Nations announced that the world's population reached 8 billion.
Before humanity achieved agriculture, the world's population never exceeded 15 million.
When people began to develop agriculture on a large scale, the world's population growth rate accelerated.
In 8000 BC, the world population was 5 million; in AD 1, there were about 200 million people worldwide; by the 4th century AD, the Roman Empire alone had a population of over 50 million.
In the 14th century, due to wars, plagues, and other factors, the world population stabilized at around 400-500 million.
After the Industrial Revolution, productivity exploded, medical technology upgraded, mortality rates declined, and infant survival rates rose significantly. In the 19th century, the global population was about 1 billion.
It took about 123 years to break through 2 billion in 1927.
Then it broke through the 3 billion mark in 1960, only taking 33 years.
In 1974, the world population took 14 years to break through 4 billion.
In 1987, it took 13 years to break through 5 billion.
In 1999, it took 12 years to break through 6 billion.
According to United Nations data, in October 2011, the world population surpassed 7 billion.
The U.S. Census Bureau showed that the world surpassed 7 billion people in 2012, taking about 13 years from the milestone in 1999.
The population expanding to 8 billion is just a matter of these few decades.
The advancement of technology has made the necessity of population in productivity decrease.
And the current world needs high-quality and efficient new generations to join, which raises education costs.
This completely matches the situation we are facing now.
The conclusion is quite heart-wrenching.
Our world may not need too many people...
This means that in our country, 1.4 billion people is too many...
I have always believed that the smartest people in this society are in politics.
Under the deterrence of nuclear weapons, war has been delayed to a considerable extent.
The unfortunate result is that the population will not be significantly consumed in a short period.
Although we have achieved urbanization and industrialization to a considerable extent in a very short time due to a large population dividend and low costs.
Elon Musk's Prediction: Everyone Should Be Prepared to Be Replaced Within 5 Years!!
"Everyone should be prepared to be replaced within 5 years, whether you are a blue-collar worker doing physical labor or a white-collar worker sitting in an office."
This is Musk's recent prediction, where he clearly states that AI is now capable of completing more than 50% of legal, accounting, and market analysis tasks; Optimus can build walls, weld, and pick fruit 24 hours a day; in the next 5 years, we will see a large-scale adjustment in employment structure.
Musk also made a prediction: by 2030, the total intelligence of AI will exceed the total intelligence of all humanity.
It may sound a bit exaggerated, but the current rate of evolution of AI is an astonishing exponential growth of 10 times per year.
Writing official documents, drawing plans to content operations, and planning schemes—those jobs that were once considered "mental labor" are being devoured by AI at an incredible speed.
According to Musk, we are standing at a turning point in human civilization; the future may be difficult, but it may also be very exciting.
So, as ordinary people, perhaps the only thing we can do is: stay healthy, keep learning, stay optimistic. Continue to invest regularly.
Musk believes that money is essentially a measure of labor distribution.
Having money simply means you can have others work for you.
If one day, artificial intelligence and robotics are sufficient to meet all human needs, then money will no longer matter.
Musk cited Iain Banks' novel 'Culture' to explain his point: "In the distant future of that series, there is no money, and everyone can basically get whatever they want."
The monetary system is slowly disappearing, and Musk proposes an alternative concept: energy (resources).
For example, Bitcoin is based on energy.
Energy is difficult to store and hard to utilize efficiently; you can't even legislate energy.
"So I think it's very likely that we won't have money; perhaps we will only have energy."
2026 Latest Version! Ultimate Guide for Mainland Players on Safe Withdrawal and Deposit!
A visual guide on how to use HK cards and digital banks for fast and secure withdrawals and deposits into the cryptocurrency market, Hong Kong stocks, US stocks, and brokers.
What are the top 10 books that improve trading the most?
It can be said that over 95% of trading books in the country are not very useful. Many are written by people who have lost a lot in real trading, trying to make money from writing books. Can you read these books? If you accidentally come across these books, it may lead you to take more detours. I am sharing this with my brothers now, hoping that those who are destined to see it can take fewer detours. 1. (Black Swan) (The Random Walkers): These two books mainly discuss the uncertainty of the market and how to live better in an uncertain market. The core idea is that risk comes first, and only then profit.
By applying this mysterious formula, ordinary people can invest and make money with peace of mind!
Recently, many brothers have asked how beginners should get started with investing,
Today, I will share my整理 and comparison of several common methods with my brothers, and have specially制作 this chart.
1. Rumors/Insider Information Listening to rumors to trade stocks/cryptos may seem easy, but it carries great risks.
By the time the information reaches you, it has often changed hands multiple times, leading to serious distortion, and you often end up buying at a high point.
The emotional toll is immense, and it is almost purely a game of luck, so I strongly advise against it.
2. Technical Analysis/Short-term Trading
This requires a lot of time to watch the market and learn various indicators, and the probability of making money is not stable. Frequent trading tests your mentality and also consumes a lot of emotional energy.
This method is more suitable for professional teams or quantitative systems. For ordinary people, the winning rate is relatively low, and it does not align with the original intention of "easy investing."
3. Value Investing (Researching individual stocks + Long-term holding) The concept is good; by conducting in-depth research on companies and holding long-term, it is easier to maintain a stable mindset, and the probability of making money is higher.
However, for ordinary people, finding truly high-quality and undervalued companies is not easy. It requires continuous learning and tracking, and the time and effort invested are significant, which can be seen as a kind of "high-threshold correctness."
4. Broad Index Dollar-Cost Averaging For example, S&P 500, NASDAQ, CSI 300, ChiNext Index, etc., just set up automatic investments, and you hardly need to worry.
By buying in batches and persisting in the long term, you can better share in the overall economic growth, with small emotional fluctuations, making it a reliable choice for ordinary people to achieve "lying down to win."
5. Multi-Asset Allocation (Stocks + Bonds + Commodities + Global Diversification) This is the method I personally recommend the most.
By diversifying across different asset classes, even if one class declines, other assets can act as a hedge.
The probability of making money is high, the effort required is low, emotional impact is minimal, and in the long run, it is a choice of "high winning rate, less worry, and stable mindset," especially suitable for ordinary people pursuing stability.
If brothers do not want to spend too much time but want to maintain a stable mindset: - The first choice is multi-asset allocation (for example, achieved through some combination tools); - The second choice is broad index/BTC/gold for dollar-cost averaging; - If willing to spend time on in-depth research, consider value investing; - For technical analysis and rumors, I advise ordinary investors to stay away as much as possible.
Explosion! The annual return rate of Huanfang Quantitative has been exposed, and Liang Wenfeng from DeepSeek has made a fortune!
In 2025, the average return of Huanfang Quantitative reached 56.55%. How can retail investors compete?
In the performance ranking of quantitative private equity in China, which manages over 10 billion, it ranks second, only behind Lingjun Investment's 73.51%.
Additionally, data from Private Equity Ranking shows that Huanfang Quantitative's average return over the past three years is 85.15%, and over the past five years, the average return is 114.35%.
In the high-threshold, high-risk field of quantitative investment, achieving such stable high returns is sufficient to prove the strength of Huanfang Quantitative's AI algorithms.
Currently, Huanfang Quantitative's management scale has exceeded 70 billion yuan. Industry insiders estimate that if calculated at a 1% management fee and a 20% performance fee, the fund could have brought in over 700 million USD (approximately 5 billion RMB) in revenue last year.
According to DeepSeek, the training cost of R1 is 294,000 USD, and the total training cost budget for the V3 model is 5,570,000 USD. Based on the 700 million USD figure, even if we conservatively estimate that the training and iteration costs for each generation of large models grow exponentially (for example, the next generation might require 50 million or even over 100 million USD), the cash flow generated by Huanfang last year would be enough to support more than ten large-scale R&D efforts of the same size.
Of course, this is all a rough estimate. In simple terms, DeepSeek has enough money to spend.
So everyone need not worry about whether DeepSeek's ammunition is sufficient; with Huanfang Quantitative supporting from behind, DeepSeek at least does not have to worry about the issue of 'running out of resources' in AI R&D. This may also be one of the reasons why DeepSeek can maintain independent development without rushing to finance or go public.
After all, in the marathon of AI, the real determinant of success is often not who runs the fastest, but who runs the longest.
Back to investment, the main narrative of AI continues.
X Creators' earnings have significantly increased.
In half a month, 2155 dollars, thanks to Lao Ma for the salary sent yesterday.
This 2155 dollars will all be used for Alipay charity donations. Thank you, Lao Ma, and thank you to all the fans and brothers for their heartfelt support!
Naval Deep Interview · Highlights Summary (Streamlined Version)
3 hours of in-depth interviews. For the brothers to understand quickly, I summarize and share 50 classic insights that strike at the heart, covering wealth, happiness, self-growth, and interpersonal relationships.
💰 Wealth and leverage
1. Wealth is not money, nor status; it is 'assets that make money while you sleep.'
2. You can never get rich relying on rental time. You must have assets or productize your skills to break through the limitations of time.
3. 'Productizing yourself' is the core of success. Find your innate interests and strengths, as well as the 'specific knowledge' that the world needs, and turn it into a scalable product.
This weekend, let's refresh our minds, eliminate the Beta returns of the market, focusing on finding quality bloggers who can provide Alpha (excess returns).
Backtesting rules: Buy at the opening price on the next trading day, hold for 7 trading days, no take profit or stop loss. The core metric is Alpha (individual stock return - SPX return): Bullish outperforming the market counts as correct ✅, Bearish underperforming the market counts as correct ✅.
📊 December Comprehensive Ranking TOP 5: 🥇 StatementDog - 82.35% (28 wins/6 losses) 🥈 Morningstar - 71.88% (23 wins/9 losses) 🥉 Money or Life US Stock Channel - 69.57% (16 wins/7 losses) 4️⃣ Investment TALK - 66.67% (8 wins/4 losses) 5️⃣ Barron's - 63.16% (12 wins/7 losses)
📈 Bullish Ranking TOP 3: 🥇 StatementDog - 81.25% (26 wins/6 losses) 🥈 Money or Life US Stock Channel - 72.73% (16 wins/6 losses) 🥉 Morningstar - 71.88% (23 wins/9 losses)
📉 Bearish Ranking TOP 3: 🥇 NaNa Talks US Stocks - 91.67% (11 wins/1 loss) 🥈 FX168 US Stock Market - 69.23% (9 wins/4 losses)
🥉 Newton Senior - 66.67% (8 wins/4 losses)
If you brothers have other treasure bloggers you are following, feel free to leave a message in the comments, and we will include them in the next blogger report card!
One chart to understand: The full chain of the AI Agent track!!
Why talk about AI? There are several angles worth considering: Although the market performed well in 2019, its intensity is incomparable to this year.
Perhaps there is a more optimistic explanation - the scale of the last market cycle was far less than this one. This AI bull market is larger in size, to the extent that the appetizer stage is comparable to the main rising wave of previous bull markets.
After all, many believe that AI is the largest market in human history.
Because once the narrative of 'AI + robots' theoretically runs through, it means unlimited resources and wealth.
From this perspective, this market cycle may be a significant leap for humanity in the pursuit of self-liberation, making the exaggerated scale of the market completely understandable.
After all, who would have thought that silver could break all historical limits in just a few months?
Musk predicts that perhaps in the near future, money will become meaningless.
This may be his ultimate vision: Humanity, supported by silicon-based life robots, will achieve the transcendence of the entire race for the first time. At that time, money will lose its original meaning in individual lives, and the division of resources and power may switch to new measurement dimensions.
In such a grand vision, the imagination space for AI is undoubtedly infinite.
Regarding the market in 2026, I actually mentioned it multiple times at the end of last year.
As for the U.S. stock market, I believe next year will be a year of significant index returns, specifically manifested in giants like M7 that will generate excess returns.
Buffett's 1998 Lecture at Florida University: A Feast of Thoughts on Investment and Life | Bilingual Transcript in Chinese and English
This article took 17 hours to compile, and this is Buffett's most classic speech. It is widely said that investment mogul Duan Yongping once suggested, 'I recommend you watch Buffett's speech at Florida University in 1998. You can watch it multiple times until you understand it. I have listened to this speech no less than 10 times, and it is very worth listening to carefully.' Although I couldn't find the exact original text, there is indeed a flavor of Duan Yongping's remarks on Xueqiu. During this speech, Buffett shared his experiences in investment and life with the MBA students at the University of Florida in a simple, humorous, and even somewhat mocking tone, which is definitely worth a listen.
When it comes to business and tech leaders of this era, Elon Musk is a name that nobody can overlook.
Over the past 10 years, the mainstream direction of human technology seems to have been driven primarily by Musk, including electric vehicles, energy storage, autonomous driving, humanoid robots, Starlink, brain-computer interfaces, and rockets—each of which are currently the hottest concepts.
As he put it: 'The meaning of reading isn't about how many books you finish, but about turning what's in the books into your own.'
These 12 books are precisely the 12 most crucial building blocks of Musk's 'cognitive infrastructure.'
His reading list is never random; every book carries a strong goal-oriented purpose: science fiction books define his ambitious vision, biographies extract practical wisdom, business and tech books set risk boundaries, and specialized books provide tools to break through challenges.
1. Stocks = all-time high 2. Gold = all-time high 3. Silver = all-time high 4. Copper prices = all-time high 5. Money market funds = all-time high Everything reaches new highs at the same time. Global markets continue to strengthen, everyone is shouting about the second half of the bull market, as if gold is everywhere. The more excited the market becomes, the more cautious we should be; today let's take a look at how Newton went bankrupt.
He's the man who discovered gravity, the father of physics, and the greatest scientist in human history—no contest.
This genius whose intelligence overshadowed everyone else ended up being a 'sucker' in the stock market, and lost badly.
Purpose: To enable tax authorities worldwide to automatically obtain residents' crypto asset transaction, holding, and related data.
Simple understanding: CRS covers traditional bank and brokerage accounts, while CARF specifically targets crypto assets.
Definition: The CARF (Common Reporting Framework for Crypto Assets) launched by the OECD in 2022 is a global automatic exchange framework for crypto asset taxation, serving as the CRS (Common Reporting Standard) for the cryptocurrency sector, specifically targeting crypto assets.
2. Who needs to report CARF data?
Primarily RCASPs (Reporting Crypto Asset Service Providers),
Including:
Centralized Exchanges (CEX), such as Binance, Coinbase, and other compliant platforms
Brothers, the facts may be this simple: cryptocurrency income will also be taxable by 2026.
In today's global context where governments are generally facing financial shortages, there is no region beyond the reach of tax authorities—crypto enthusiasts should have no illusions.
This article compiles key questions and information related to CARF.
CARF Mechanism:
The Crypto-Asset Reporting Framework (CARF) is a global tax information automatic exchange standard released by the Organisation for Economic Co-operation and Development (OECD) in 2022, specifically targeting cryptocurrency transactions.
It is regarded as an extension and supplement to the existing OECD 'Common Reporting Standard' (CRS) for tax information exchange, aiming to address the gap in traditional CRS regarding unreported cryptocurrency transaction information.