The elements of a quantitative surgical and relatively accurate framework strategic position building layout
[Core Tips 🔔: No quantitative surgical, relatively accurate framework strategic position opening layout is used as a standard for examining whether an investment transaction is right or wrong based on whether it is covered in the short term in the short term, or whether it even causes floating losses in the short term. Similarly, there is no need to make short linear speculative and random transactions. At a location around 205.600, consider cashing out some of the surplus. These positions must stand the test of time. The reason Jerome=Elias doesn't hastily fill up the position is that he must firmly control the investment transaction position in his own hands, and only consider changing the position when it is best for him. 2022 Nobel Prize (Nobel Prize) physics winners Austrian physicist, member of the Austrian Academy of Sciences, member of the European Academy of Sciences and Arts, member of the Berlin-Brandenburg Academy of Sciences, member of the Leopoldina Academy of Sciences, foreign member of the Serbian Academy of Sciences, foreign member of the French Academy of Sciences, foreign member of the American Academy of Sciences, member of the Academy of Sciences of developing countries, foreign academicians of the National Academy of Sciences of Belarus, foreign academicians of the Russian Academy of Sciences, foreign academicians of the Chinese Academy of Sciences, Ukrainian National Academy of Sciences Foreign academician Anton Zeilinger (Anton Zeilinger), president of the Austrian Academy of Sciences, spoke highly of Elon Musk's project behind Tesla. Encourage medium- to long-term investments of 3-5 years or more. Those with eyes should see; those with ears should listen. Laurence Douglas Fink (BlackRock, or BlackRock, or BlackRock, or BlackRock, Chairman and CEO) He and seven partners founded BlackRock in 1988, and under his leadership, the company has grown to become a global leader in investment and technology solutions, the Federal Reserve's go-to trader, and one of Wall Street's four magic pins): bullish Tesla; Ronald Stephen Baron (Ronald Stephen Baron, an American mutual fund manager and investor. He is the founder of investment management company Baron Capital. The New York-based company manages Baron Funds, which he founded himself, and manages around $45 billion in assets. (More personal assets than Laurence Douglas Fink, over $5 billion, Tesla's important strategic investor): Tesla has bottomed out; hedge fund manager Per Lekander: Tesla may “go bankrupt,” and its stock may plummet to $14.]
1. The profit chip ratio is below the 21% threshold, and there is even a single-digit percentage. Through such strict screening, the vast majority of investment transactions are filtered out, which fall into the category of mathematical functions and non-communications, and which are generally erroneous and invalid in investment transactions.
2. Near the lower track of the downward channel. If necessary, you may also encounter trajectory changes to expand or narrow the lower limit of the lower track of the descending channel.
3. Of the 15 commonly used technical indicators, at least 10-13 are oversold. PSY (psychological indicator) is below 25. It is best to boldly open positions when fluctuating in the 16-9 range.
4. At least 2-3 technical indicators have bottomed out. The four elements mentioned earlier are commonly known as four-body resonance.
5. Position opening layout is carried out by extending 3-5% downward below the conventional technical stop loss level.
6. Flexibility is the best ability. All the beautiful things in the world need to be on your toes to be accessible.
7. Prepare to extend the decline position by 1.2-2.5% below 138.800, and set up a security deposit of 10% of the total capital to protect the final position. If it is necessary to continue to bottom out, 30% of the total financing amount can be used.
Earning $100 billion in 30 years - the secrets of the “King of Quantification” and his most legendary fund “Medallion” - born out of “nothing”
Renaissance Technology is a team of scientists that invested mathematical ideas, but the first ten years were not particularly successful.
Until March 1988, Renaissance Technology launched its first fund product, the Medallion Fund (Medallion Fund). Over the next 30 years, the compound annualized yield of the Medallion Fund was close to 40%, far ahead of the compound annualized yield of the S&P 500 index during the same period. In the period from 1994 to mid-2014, its average annual return was as high as 71.8%.
The year that performed best was during the crisis, such as the 2000 internet bubble. While other hedge fund peers were crying out all over the place, Medallion Fund received a net return of 98.5%. In the 2008 financial crisis, the Medallion Fund also made a large profit of 80%.
The Medallion Fund earned more than $100 billion in profits between 1998 and 2018, with an annualized return of 39% after deducting fees. The fund stopped accepting new funding in 1993, and Simmons did not allow its employees to start investing until 2005.
Unlike most investors who evaluate a company's value by studying fundamentals, Simmons relies entirely on an automated trading system, thereby exploiting market inefficiency and trading models.
The “gecko investment method” is a metaphor for Simmons' image of his “quantitative investment”: it means making short-term directional predictions during investment, trading many varieties at the same time, and profiting from large numbers of transactions completed in a short period of time.
Simply put, it is a quantitative investment method using mathematics, statistics, and information technology to manage an investment portfolio. Quantitative investment portfolio construction focuses on analyzing macroeconomic data, market behavior, corporate financial data, and transaction data, and processing data using data mining techniques, statistical techniques, calculation methods, etc. to obtain optimal investment portfolios and investment opportunities.
The “Gecko Investment Law” made Simmons a net profit of 1.5 billion US dollars, almost double that of Soros, making him the highest-paid hedge fund manager in the world.
Since Simmons began revolutionizing trading in the 1980s, quantitative strategies that rely on trend tracking models have become increasingly popular on Wall Street. According to J.P. Morgan's estimates, quantitative funds now account for more than 20% of all equity assets.
Until March 1988, Renaissance Technology launched its first fund product, the Medallion Fund (Medallion Fund). Over the next 30 years, the compound annualized yield of the Medallion Fund was close to 40%, far ahead of the compound annualized yield of the S&P 500 index during the same period. In the period from 1994 to mid-2014, its average annual return was as high as 71.8%.
The year that performed best was during the crisis, such as the 2000 internet bubble. While other hedge fund peers were crying out all over the place, Medallion Fund received a net return of 98.5%. In the 2008 financial crisis, the Medallion Fund also made a large profit of 80%.
The Medallion Fund earned more than $100 billion in profits between 1998 and 2018, with an annualized return of 39% after deducting fees. The fund stopped accepting new funding in 1993, and Simmons did not allow its employees to start investing until 2005.
Unlike most investors who evaluate a company's value by studying fundamentals, Simmons relies entirely on an automated trading system, thereby exploiting market inefficiency and trading models.
The “gecko investment method” is a metaphor for Simmons' image of his “quantitative investment”: it means making short-term directional predictions during investment, trading many varieties at the same time, and profiting from large numbers of transactions completed in a short period of time.
Simply put, it is a quantitative investment method using mathematics, statistics, and information technology to manage an investment portfolio. Quantitative investment portfolio construction focuses on analyzing macroeconomic data, market behavior, corporate financial data, and transaction data, and processing data using data mining techniques, statistical techniques, calculation methods, etc. to obtain optimal investment portfolios and investment opportunities.
The “Gecko Investment Law” made Simmons a net profit of 1.5 billion US dollars, almost double that of Soros, making him the highest-paid hedge fund manager in the world.
Since Simmons began revolutionizing trading in the 1980s, quantitative strategies that rely on trend tracking models have become increasingly popular on Wall Street. According to J.P. Morgan's estimates, quantitative funds now account for more than 20% of all equity assets.
Simmons has ten rules of trading. Let's take a look at them specifically:
1. Although our strategy is to hold investment targets for a long time, we average over 10,000 transactions per day. In fact, the positions of each stock in our portfolio increase or decrease every other day on average. The method we use to diversify our investments is to allocate as many types of assets as possible. On average, we hold 2,500 to 3,000 different stocks.
2. Renaissance has a great working environment and excellent staff, including PhDs in mathematics, statistics, physics, astronomy, and computer science. I don't know how to hire traders who do fundamental trading because they sometimes make money and sometimes lose money, but I do know how to hire scientists because I have my own feelings about this field.
3. If you do fundamental trading, then one day when you wake up, you may find yourself a genius. Your positions are always moving in your favor, you think you are very smart, and you will also see yourself making a lot of money overnight. The next day, however, all positions went against you, and you felt like a fool.
4. Since we make models, we might as well follow the models. So in 1988, I decided to rely 100% on model trading. And we've been doing that ever since.
5. Some companies also use models, but their purpose is that they have a model and use the conclusions drawn from this model to provide traders with reference opinions. If they agree with this conclusion, then follow it; if they disagree, then don't execute it.
6. It's not science; you can't simulate the feeling you had when you saw market data 13 years ago. Backtesting is a very difficult thing.
If you actually rely on the model to trade, then do exactly what the model says, no matter how smart or stupid you think that model is; this later proved to be a very correct decision.
Therefore, we have established a company that relies 100% on computer models for trading. Our business gradually evolved from foreign exchange and financial instruments to stocks and everything else that can be traded and has strong liquidity.
7. We sell and buy all the time, and we make money by being active. I'm a model, and I don't want to do a fundamental analysis. One of the advantages of the model is that it can reduce risk, and if you rely on personal judgment to select stocks, you may become rich overnight or lose well the next day.
8. Some trading models are not random; they are traceable and have predictive effects. Those very small transactions, even those of only 100 shares, will have an impact on this huge market, and tens of thousands of such transactions take place every day. In fact, everyone has a black box; we call it a brain.
9. Trading is like a gecko, usually lying motionless on a wall. Once mosquitoes appear, they quickly eat them, then calm down and wait for the next opportunity.
Our focus is on those tiny opportunities, which may be fleeting. When these opportunities arise, we make predictions and then trade accordingly. After the transaction, we will also track and evaluate the new market situation, adjust the forecast accordingly, and the investment portfolio will change accordingly.
10. I'm not the smartest person in the world, and if I participated in the Math Olympiad, I wouldn't have performed very well. But I like to think. Thinking about things in my heart, that is, thinking about certain things over and over again. It turned out to be a great approach.
1. Although our strategy is to hold investment targets for a long time, we average over 10,000 transactions per day. In fact, the positions of each stock in our portfolio increase or decrease every other day on average. The method we use to diversify our investments is to allocate as many types of assets as possible. On average, we hold 2,500 to 3,000 different stocks.
2. Renaissance has a great working environment and excellent staff, including PhDs in mathematics, statistics, physics, astronomy, and computer science. I don't know how to hire traders who do fundamental trading because they sometimes make money and sometimes lose money, but I do know how to hire scientists because I have my own feelings about this field.
3. If you do fundamental trading, then one day when you wake up, you may find yourself a genius. Your positions are always moving in your favor, you think you are very smart, and you will also see yourself making a lot of money overnight. The next day, however, all positions went against you, and you felt like a fool.
4. Since we make models, we might as well follow the models. So in 1988, I decided to rely 100% on model trading. And we've been doing that ever since.
5. Some companies also use models, but their purpose is that they have a model and use the conclusions drawn from this model to provide traders with reference opinions. If they agree with this conclusion, then follow it; if they disagree, then don't execute it.
6. It's not science; you can't simulate the feeling you had when you saw market data 13 years ago. Backtesting is a very difficult thing.
If you actually rely on the model to trade, then do exactly what the model says, no matter how smart or stupid you think that model is; this later proved to be a very correct decision.
Therefore, we have established a company that relies 100% on computer models for trading. Our business gradually evolved from foreign exchange and financial instruments to stocks and everything else that can be traded and has strong liquidity.
7. We sell and buy all the time, and we make money by being active. I'm a model, and I don't want to do a fundamental analysis. One of the advantages of the model is that it can reduce risk, and if you rely on personal judgment to select stocks, you may become rich overnight or lose well the next day.
8. Some trading models are not random; they are traceable and have predictive effects. Those very small transactions, even those of only 100 shares, will have an impact on this huge market, and tens of thousands of such transactions take place every day. In fact, everyone has a black box; we call it a brain.
9. Trading is like a gecko, usually lying motionless on a wall. Once mosquitoes appear, they quickly eat them, then calm down and wait for the next opportunity.
Our focus is on those tiny opportunities, which may be fleeting. When these opportunities arise, we make predictions and then trade accordingly. After the transaction, we will also track and evaluate the new market situation, adjust the forecast accordingly, and the investment portfolio will change accordingly.
10. I'm not the smartest person in the world, and if I participated in the Math Olympiad, I wouldn't have performed very well. But I like to think. Thinking about things in my heart, that is, thinking about certain things over and over again. It turned out to be a great approach.
Laurence Douglas Fink: bullish on Tesla; Ronald Stephen Baron: Tesla has bottomed out; hedge fund manager Per Lekander: Tesla may “go bankrupt” and its stock could plummet to $14.
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成熟投资者：格局，概率，取舍。没有格局必然急功近利。不计概率会把运气当技术。不懂取舍，有所不为，最后必落入陷阱和圈套。
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