炒股机器人喊你回家吃饭别炒股The stock market robot calls you not to stock market
量化交易就是人工智能的镰刀量化基金，现在都不让你投了，不是像他们所说，因为策略饱和了是内卷太严重了，都去整量化交易。韭菜不就少了，搁谁去啊？
还不如不募集，专心致志的哥量化，今年收益率这么高，赚的谁的钱，你觉得会是机构的，全是散户的钱，以前散户和庄家都起码还是人。现在是机器人用大数据跟你斗量化私募现在有一点一万亿，每天成交量三千亿，占a 股百分之。
这二十成交量说明就是四十，你每交易两只股票就有一个机器人卖给你的。有个上海的私募，两个月前跟我聊才十个亿规模，现在二十五亿了，钱全是信托次管四行给找的。你想涨量化交了一百倍换手率。
比散户多赚十倍的钱，券商多开心，四行信托也乐意卖这个稳赚不赔的产品，客户也喜欢皆大欢喜。量化基金会有源源不断的大资金。散户喝酒惨了，量化的本身就是赚交易套利的钱。
散户越多，量化就越赚钱，用机器公式的算法不停的收割。美国五十二七年散户占九十五五年量化进展后，现在只剩百分之五了。美股运行三十年了，开始去散户化。
a 五到现在也刚好三十年，量化也刚好进场了。巧不巧，意不意外，散户既然打不过就加入呗。要不和机器人一伙，要不然和大机构战队自己就别玩了。大机构为啥不怕电话？
公募基金都是抱团大票票，大量少量化基金不空仓只有一千多支票，对大票没有资金优势。对小票和散户那不随便折腾，未来就两个赛道。公募基金和量化私募基金。
通不通过研究公司发展来去那边来量化，是通过各种策略回测来确定交易。一个是财务报表，一个是数学和物理模式。这两个赛道共同点都是看重趋势投资。
简单说就是不要抄底，只做右侧趋势交易，然后不断的圈板块去轮动转发屏，让更多的散户看到不要再被割韭菜了。量化之间不仅互相收割，狠起来，还割自己。
头部的明红患方今年受策略容量限制，引起花点自己把自己给割了，规模太大，变成了被其他继承人围猎的目标。所有量化对手都跑来割一刀，量化到底是怎么割的呢？
好，机器大脑每一个量化都是一个模型，有的偏好大市值小市值，有的喜欢量价因子，有爱好，交易量活跃的也有了在各个行业和风格里面做择时，更牛的做算法交易套利。
量化的收益率完全取决于不同的策略，好比股票市场的板块轮动，你必须要踏准节奏，但不管是什么策略，在一个投资周期中量化都会出现低潮期。这个问题就衍生出了合体机器人量化fourth 专门研究在特定时间内，机构为什么能。
你又为什么亏？然后搭建fox 组合，扬长避短，无漏洞的收割韭菜。要怪就怪公募量化机器人是公布发明的。二零一零年将股票市场的所有数据采用市值加权法进行了数据化编程。
做出了一个指数产品，叫沪深三百e t f e 外部。到了一三年，海外的量化理念和人才来到国内，形成了本土派和海外派。以世坤团队为代表的海外派，国内的则是换方。
一三年市场的交易量很大，散户也很多，也非常有利于量化编辑模型，随便写一个线性模型就能赚四十。到了。一七年发展出了四大金刚瑞天九宫官方制成卓远。
一九年幻方冥鸿开始发力，从五十亿奔到了一百亿，做到了头部。二零二零年十二月，量化规模只有五千亿，来年六月规模就到了万亿，半年时间增长超过了前十年的积累。吓不吓人？
产业资金非标资金，再加上公募基金业绩表现一般的反向衬托，使大量的资金涌入这个行业。现在还在不断的扩张，规模暴涨，技术手段迭代迅速，量化，领导已经升级到了计算机时代。可小散还停留在看基本面，技术变停股平的阶段。
几十年都不带变的，改变的只有年龄增长和诞生了新一批无畏的韭菜。转发起来，让更多的小伞抓紧改变，迎接新的挑战。量化基金可怕的是交易者比你优秀，工具比你先进。
还不休息，只学习一般人做t 加零靠的是盘杆，机器则靠速度快。先把口令写好，不知道交易所给到了毫秒级信号后，自动下指令成交。别说买了你都看不到。
垂直化还能盯一千多只票人可以吗？就算能盯一年二百五十个交易日，你试试看速度我们不行，谋略，我们一定可以把量化机型会对全市场的票通过净利润等综合表现进行打分排名。
取之精华确实遭破，不像公募只对某个公司进行研究。他追求的是准确性和命中率，只要计算出百分之五以上的胜率，就开干，只求战胜指数，这个就是指数增强。
再加个对冲，就是量化对冲和中性，什么都不加，就是量化选股还有c t a 策略，可以让计算机对全市场实时监控。比如很多市场上红价格不一样，就可以做价差，这叫跨市场套利。
大豆和黄豆两个品种虽然不一样，但是相近有替代关系，这叫相似品种的套利。一些行业的a 产品和b 产品组合一起卖。当a 产品价格上涨，那么未来b 产品也要上涨。
互补品套利这一通分析加策略结合起来，普通人怎么比？既然所有量化基金都是这四种套路，为什么收益不同呢？因为策略就离不开人的主观判断。
挖掘因子算法组合所有产出都来源于大脑，人和人毕竟是有差别的嘛，知道为啥量化基金都是学数学和物理的博士了吧。三期视频让大家明白的量化其实也并非战胜不了。
机器人也是人发明的那在这种情况下，我们该如何反击呢？转发起来让更多散户看选基金股票。如果学会这个方法，会少走很多弯路，炒股不看基本面，也不看技术面，就看相片。
用看相的方式炒股，你说酷不酷？刚和一个物理博士聊完，他说卷积神经网络这个技术已经用在量化选股里了，这是个啥玩意儿？你看这个图，仔细看是一个老人和一个少女。
现在这个技术也能同时认出这两人，图像识别已经比人还强了。在选股上，比如我们今年想盈利六十，能忍受二十的亏损，那么机器就会把历史上所有能达到这个条件的个股图片都截取下来，大概有一千万照片。
然后以当下的市场做对比，再做出抉择，就是把所有k 线图量能图作为图片来识别判断。帅不帅，还有个叫量化择时，是通过波动学以及量子力学的方法，用航天的馄饨理论进行动态的仓位控制。
什么意思啊？就是把k 线看作一条从左向右的横向波，通过成交量和价格来判断横向波的速度快慢。当速度衰竭到一定程度，就是一个买货卖的价位，从而触发则。
简单说就是可以抄底和头顶了，怎么样。还有人弟子说，量化不行吗？别说小散这个玩法，把量化常用的指数增强c t 策略都甩了几条街。小散根要抓紧改变。
转发起来不做韭菜，下期见。
Quantitative trading is the sickle quantitative fund of artificial intelligence. Now you are not allowed to invest. It is not like they said, because the strategy is saturated and the internal volume is too serious. All quantitative trading is used. The leeks are not enough, who will leave it?
It's better not to raise money and quantify with a dedicated brother. The rate of return this year is so high. Whose money you make will belong to institutions, all of which are retail money. In the past, retail investors and market makers were at least people. Now it is robots who use big data to fight you to quantify private equity. There are now 1.1 trillion, and the daily trading volume is 300 billion, accounting for% of a-shares.
This twenty trading volume means forty, and for every two stocks you trade, one robot will sell it to you. There is a private equity in Shanghai. Two months ago, I talked to me about the scale of 1 billion. Now it is 2.5 billion. The money is all found by the four branches of the trust. You want to increase the turnover rate by a hundred times.
Earning ten times more money than retail investors, the brokerage is so happy, Four Banks Trust is also willing to sell this product that makes no loss, and customers like it all. The Quantitative Foundation has a steady stream of large funds. Retail investors have been drinking badly, and the quantification itself is the money to make trading arbitrage.
The more retail investors, the more profitable the quantification, and the machine formula algorithm is used to continuously harvest. After 527 years of retail accounts in the United States, after quantifying progress in 1995, now only 5% remains. The U.S. stock market has been in operation for 30 years and has begun to de-retail.
a It has been exactly 30 years from five to now, and quantification has just entered the market. Coincidentally, not unexpectedly, since retail investors can't get through, join in. If you don't be with the robots, or you won't play with the big organization team yourself. Why are big institutions not afraid of the phone?
Public offering funds are all held together with large votes, and a large number of small-scale funds do not have short positions and only have more than 1,000 checks. There is no capital advantage for large votes. For small tickets and retail investors, don't toss casually, there will be two tracks in the future. Public funds and quantitative private funds.
Quantification is not done by studying the development of the company, but by backtesting various strategies to determine the transaction. One is financial statements, and the other is mathematical and physical models. What these two tracks have in common is that they value trend investment.
To put it simply, don't buy bottoms, only trade on the right trend, and then constantly circle the plates to rotate the forwarding screen, so that more retail investors can see that they are no longer cut. Quantification not only reaps each other, but also cuts itself.
The bright red patient on the head was limited by the capacity of the strategy this year, which caused Huadian to cut himself off. The scale was too large and became the target of hunting by other heirs. All the quantitative opponents came to make a cut. How did the quantitative cut?
Well, every quantification of the machine brain is a model. Some prefer large market capitalization and small market capitalization, and some prefer volume-price factors, hobbies, and active trading volumes. When choosing among various industries and styles, they are more optimistic. Algorithmic trading arbitrage.
The quantified rate of return depends entirely on different strategies. Just like the stock market’s rotation, you must follow the rhythm, but no matter what the strategy is, there will be a low ebb in quantification in an investment cycle. This question has led to the quantification of the fourth integrated robot, which specializes in the study of why the organization can be within a certain period of time.
Why are you losing? Then build a fox combination to maximize strengths and avoid weaknesses, harvesting leeks without loopholes. To blame, the public fundraising quantitative robot was published and invented. In 2010, all data of the stock market was programmed using the market value weighting method.
Made an index product called CSI 300 e t f e external. In one to three years, overseas quantitative concepts and talents came to China, forming local and overseas groups. The overseas dispatch represented by Shikun's team, the domestic dispatch is exchanged.
The trading volume in the market in the first to three years is very large, and there are also many retail investors. It is also very conducive to the quantitative editing of the model. Just writing a linear model can make forty. arrive. In 2017, the four great diamonds of Ruitian Nine Palaces were developed and the official production was outstanding.
Magic Fang Minghong began to exert its strength in 19, rushing from 5 billion to 10 billion, and achieved the head. In December 2020, the quantitative scale was only 500 billion, and in June of the following year, the scale reached trillions, and the growth in half a year exceeded the accumulation of the previous ten years. Scary?
Non-standard industrial funds, coupled with the reverse setback of the general performance of public offering funds, have caused a lot of funds to flow into this industry. Now it is still expanding, the scale is skyrocketing, the technological means are iterated rapidly, and the quantification is fast, and the leadership has been upgraded to the computer age. But Xiaosan still stays at the stage of looking at the fundamentals, and the technology has stopped and the stocks are flat.
What hasn't changed for decades, the only thing that has changed is the growth of age and the birth of a new batch of fearless leeks. Forward it, let more small umbrellas seize changes and meet new challenges. The scary thing about quantitative funds is that traders are better than you and the tools are more advanced than you.
I don't have a rest yet, I just learn that ordinary people do t and zero by reeling, while the machine relies on high speed. Write the password first. After the exchange has given a millisecond signal, it will automatically place an order to trade. Don't say you can't see it if you buy it.
Is it okay to have more than a thousand tickets under the vertical? Even if you can stare at 250 trading days a year, you can try to see the speed, we can't, strategy, we can definitely rank the quantified models on the overall performance of the whole market through net profit and other comprehensive performance.
The essence of the selection is indeed broken, unlike public offerings that only conduct research on a certain company. What he pursues is accuracy and hit rate. As long as he calculates a winning rate of more than 5%, he will do it. He only seeks to beat the index. This is the index enhancement.
Add another hedge, that is, quantitative hedging and neutrality, nothing is added, that is, quantitative stock selection and c t a strategy, which allows the computer to monitor the entire market in real time. For example, if the red price in many markets is different, the spread can be made. This is called cross-market arbitrage.
Although the two varieties of soybeans and soybeans are not the same, they are similar and have a substitution relationship. This is called arbitrage of similar varieties. In some industries, product a and product b are sold together. When the price of product a rises, product b will also rise in the future.
Complementary goods arbitrage is a combination of analysis and strategy, how can ordinary people compare? Since all quantitative funds use these four routines, why are the returns different? Because the strategy is inseparable from the subjective judgment of people.
All the output of the mining factor algorithm combination comes from the brain. After all, there is a difference between people and people. You know why quantitative funds are all PhDs in mathematics and physics. The quantification that the third phase of the video made everyone understand is actually not invincible.
Robots were also invented by humans. In this case, how can we fight back? Forward it to let more retail investors look at and choose fund stocks. If you learn this method, you will avoid a lot of detours, and you will not look at the fundamentals or technical aspects of stocks, but just look at the photos.
Stocks stocks in a way of looking, do you think it’s cool or not? Just finished talking with a PhD in physics, he said that the technology of convolutional neural network has been used in quantitative stock selection. What is this? If you look at this picture, look closely at an old man and a young girl.
Now this technology can also recognize two people at the same time, and image recognition is already stronger than people. In stock selection, for example, if we want to make a profit of 60 this year and can bear a loss of 20, then the machine will intercept all the pictures of individual stocks that can meet this requirement in history, about 10 million photos.
Then compare with the current market, and then make a decision, which is to use all k-line graphs as pictures to identify and judge. Whether handsome or not, there is another called quantitative timing, which uses the method of wave theory and quantum mechanics to carry out dynamic position control using the aerospace wonton theory.
what does it mean? That is, the k-line is regarded as a horizontal wave from left to right, and the speed of the horizontal wave is judged by the volume and price. When the speed is exhausted to a certain extent, it is a price of buying and selling, which triggers the rule.
Simply put, you can buy bottoms and tops, how about it. Another disciple said, can't quantification work? Don't talk about Xiaosan's gameplay, and quantify the commonly used index-enhanced c t strategy. Xiao Sangen must change quickly.
Don't make leeks after forwarding, see you next time.
还不如不募集，专心致志的哥量化，今年收益率这么高，赚的谁的钱，你觉得会是机构的，全是散户的钱，以前散户和庄家都起码还是人。现在是机器人用大数据跟你斗量化私募现在有一点一万亿，每天成交量三千亿，占a 股百分之。
这二十成交量说明就是四十，你每交易两只股票就有一个机器人卖给你的。有个上海的私募，两个月前跟我聊才十个亿规模，现在二十五亿了，钱全是信托次管四行给找的。你想涨量化交了一百倍换手率。
比散户多赚十倍的钱，券商多开心，四行信托也乐意卖这个稳赚不赔的产品，客户也喜欢皆大欢喜。量化基金会有源源不断的大资金。散户喝酒惨了，量化的本身就是赚交易套利的钱。
散户越多，量化就越赚钱，用机器公式的算法不停的收割。美国五十二七年散户占九十五五年量化进展后，现在只剩百分之五了。美股运行三十年了，开始去散户化。
a 五到现在也刚好三十年，量化也刚好进场了。巧不巧，意不意外，散户既然打不过就加入呗。要不和机器人一伙，要不然和大机构战队自己就别玩了。大机构为啥不怕电话？
公募基金都是抱团大票票，大量少量化基金不空仓只有一千多支票，对大票没有资金优势。对小票和散户那不随便折腾，未来就两个赛道。公募基金和量化私募基金。
通不通过研究公司发展来去那边来量化，是通过各种策略回测来确定交易。一个是财务报表，一个是数学和物理模式。这两个赛道共同点都是看重趋势投资。
简单说就是不要抄底，只做右侧趋势交易，然后不断的圈板块去轮动转发屏，让更多的散户看到不要再被割韭菜了。量化之间不仅互相收割，狠起来，还割自己。
头部的明红患方今年受策略容量限制，引起花点自己把自己给割了，规模太大，变成了被其他继承人围猎的目标。所有量化对手都跑来割一刀，量化到底是怎么割的呢？
好，机器大脑每一个量化都是一个模型，有的偏好大市值小市值，有的喜欢量价因子，有爱好，交易量活跃的也有了在各个行业和风格里面做择时，更牛的做算法交易套利。
量化的收益率完全取决于不同的策略，好比股票市场的板块轮动，你必须要踏准节奏，但不管是什么策略，在一个投资周期中量化都会出现低潮期。这个问题就衍生出了合体机器人量化fourth 专门研究在特定时间内，机构为什么能。
你又为什么亏？然后搭建fox 组合，扬长避短，无漏洞的收割韭菜。要怪就怪公募量化机器人是公布发明的。二零一零年将股票市场的所有数据采用市值加权法进行了数据化编程。
做出了一个指数产品，叫沪深三百e t f e 外部。到了一三年，海外的量化理念和人才来到国内，形成了本土派和海外派。以世坤团队为代表的海外派，国内的则是换方。
一三年市场的交易量很大，散户也很多，也非常有利于量化编辑模型，随便写一个线性模型就能赚四十。到了。一七年发展出了四大金刚瑞天九宫官方制成卓远。
一九年幻方冥鸿开始发力，从五十亿奔到了一百亿，做到了头部。二零二零年十二月，量化规模只有五千亿，来年六月规模就到了万亿，半年时间增长超过了前十年的积累。吓不吓人？
产业资金非标资金，再加上公募基金业绩表现一般的反向衬托，使大量的资金涌入这个行业。现在还在不断的扩张，规模暴涨，技术手段迭代迅速，量化，领导已经升级到了计算机时代。可小散还停留在看基本面，技术变停股平的阶段。
几十年都不带变的，改变的只有年龄增长和诞生了新一批无畏的韭菜。转发起来，让更多的小伞抓紧改变，迎接新的挑战。量化基金可怕的是交易者比你优秀，工具比你先进。
还不休息，只学习一般人做t 加零靠的是盘杆，机器则靠速度快。先把口令写好，不知道交易所给到了毫秒级信号后，自动下指令成交。别说买了你都看不到。
垂直化还能盯一千多只票人可以吗？就算能盯一年二百五十个交易日，你试试看速度我们不行，谋略，我们一定可以把量化机型会对全市场的票通过净利润等综合表现进行打分排名。
取之精华确实遭破，不像公募只对某个公司进行研究。他追求的是准确性和命中率，只要计算出百分之五以上的胜率，就开干，只求战胜指数，这个就是指数增强。
再加个对冲，就是量化对冲和中性，什么都不加，就是量化选股还有c t a 策略，可以让计算机对全市场实时监控。比如很多市场上红价格不一样，就可以做价差，这叫跨市场套利。
大豆和黄豆两个品种虽然不一样，但是相近有替代关系，这叫相似品种的套利。一些行业的a 产品和b 产品组合一起卖。当a 产品价格上涨，那么未来b 产品也要上涨。
互补品套利这一通分析加策略结合起来，普通人怎么比？既然所有量化基金都是这四种套路，为什么收益不同呢？因为策略就离不开人的主观判断。
挖掘因子算法组合所有产出都来源于大脑，人和人毕竟是有差别的嘛，知道为啥量化基金都是学数学和物理的博士了吧。三期视频让大家明白的量化其实也并非战胜不了。
机器人也是人发明的那在这种情况下，我们该如何反击呢？转发起来让更多散户看选基金股票。如果学会这个方法，会少走很多弯路，炒股不看基本面，也不看技术面，就看相片。
用看相的方式炒股，你说酷不酷？刚和一个物理博士聊完，他说卷积神经网络这个技术已经用在量化选股里了，这是个啥玩意儿？你看这个图，仔细看是一个老人和一个少女。
现在这个技术也能同时认出这两人，图像识别已经比人还强了。在选股上，比如我们今年想盈利六十，能忍受二十的亏损，那么机器就会把历史上所有能达到这个条件的个股图片都截取下来，大概有一千万照片。
然后以当下的市场做对比，再做出抉择，就是把所有k 线图量能图作为图片来识别判断。帅不帅，还有个叫量化择时，是通过波动学以及量子力学的方法，用航天的馄饨理论进行动态的仓位控制。
什么意思啊？就是把k 线看作一条从左向右的横向波，通过成交量和价格来判断横向波的速度快慢。当速度衰竭到一定程度，就是一个买货卖的价位，从而触发则。
简单说就是可以抄底和头顶了，怎么样。还有人弟子说，量化不行吗？别说小散这个玩法，把量化常用的指数增强c t 策略都甩了几条街。小散根要抓紧改变。
转发起来不做韭菜，下期见。
Quantitative trading is the sickle quantitative fund of artificial intelligence. Now you are not allowed to invest. It is not like they said, because the strategy is saturated and the internal volume is too serious. All quantitative trading is used. The leeks are not enough, who will leave it?
It's better not to raise money and quantify with a dedicated brother. The rate of return this year is so high. Whose money you make will belong to institutions, all of which are retail money. In the past, retail investors and market makers were at least people. Now it is robots who use big data to fight you to quantify private equity. There are now 1.1 trillion, and the daily trading volume is 300 billion, accounting for% of a-shares.
This twenty trading volume means forty, and for every two stocks you trade, one robot will sell it to you. There is a private equity in Shanghai. Two months ago, I talked to me about the scale of 1 billion. Now it is 2.5 billion. The money is all found by the four branches of the trust. You want to increase the turnover rate by a hundred times.
Earning ten times more money than retail investors, the brokerage is so happy, Four Banks Trust is also willing to sell this product that makes no loss, and customers like it all. The Quantitative Foundation has a steady stream of large funds. Retail investors have been drinking badly, and the quantification itself is the money to make trading arbitrage.
The more retail investors, the more profitable the quantification, and the machine formula algorithm is used to continuously harvest. After 527 years of retail accounts in the United States, after quantifying progress in 1995, now only 5% remains. The U.S. stock market has been in operation for 30 years and has begun to de-retail.
a It has been exactly 30 years from five to now, and quantification has just entered the market. Coincidentally, not unexpectedly, since retail investors can't get through, join in. If you don't be with the robots, or you won't play with the big organization team yourself. Why are big institutions not afraid of the phone?
Public offering funds are all held together with large votes, and a large number of small-scale funds do not have short positions and only have more than 1,000 checks. There is no capital advantage for large votes. For small tickets and retail investors, don't toss casually, there will be two tracks in the future. Public funds and quantitative private funds.
Quantification is not done by studying the development of the company, but by backtesting various strategies to determine the transaction. One is financial statements, and the other is mathematical and physical models. What these two tracks have in common is that they value trend investment.
To put it simply, don't buy bottoms, only trade on the right trend, and then constantly circle the plates to rotate the forwarding screen, so that more retail investors can see that they are no longer cut. Quantification not only reaps each other, but also cuts itself.
The bright red patient on the head was limited by the capacity of the strategy this year, which caused Huadian to cut himself off. The scale was too large and became the target of hunting by other heirs. All the quantitative opponents came to make a cut. How did the quantitative cut?
Well, every quantification of the machine brain is a model. Some prefer large market capitalization and small market capitalization, and some prefer volume-price factors, hobbies, and active trading volumes. When choosing among various industries and styles, they are more optimistic. Algorithmic trading arbitrage.
The quantified rate of return depends entirely on different strategies. Just like the stock market’s rotation, you must follow the rhythm, but no matter what the strategy is, there will be a low ebb in quantification in an investment cycle. This question has led to the quantification of the fourth integrated robot, which specializes in the study of why the organization can be within a certain period of time.
Why are you losing? Then build a fox combination to maximize strengths and avoid weaknesses, harvesting leeks without loopholes. To blame, the public fundraising quantitative robot was published and invented. In 2010, all data of the stock market was programmed using the market value weighting method.
Made an index product called CSI 300 e t f e external. In one to three years, overseas quantitative concepts and talents came to China, forming local and overseas groups. The overseas dispatch represented by Shikun's team, the domestic dispatch is exchanged.
The trading volume in the market in the first to three years is very large, and there are also many retail investors. It is also very conducive to the quantitative editing of the model. Just writing a linear model can make forty. arrive. In 2017, the four great diamonds of Ruitian Nine Palaces were developed and the official production was outstanding.
Magic Fang Minghong began to exert its strength in 19, rushing from 5 billion to 10 billion, and achieved the head. In December 2020, the quantitative scale was only 500 billion, and in June of the following year, the scale reached trillions, and the growth in half a year exceeded the accumulation of the previous ten years. Scary?
Non-standard industrial funds, coupled with the reverse setback of the general performance of public offering funds, have caused a lot of funds to flow into this industry. Now it is still expanding, the scale is skyrocketing, the technological means are iterated rapidly, and the quantification is fast, and the leadership has been upgraded to the computer age. But Xiaosan still stays at the stage of looking at the fundamentals, and the technology has stopped and the stocks are flat.
What hasn't changed for decades, the only thing that has changed is the growth of age and the birth of a new batch of fearless leeks. Forward it, let more small umbrellas seize changes and meet new challenges. The scary thing about quantitative funds is that traders are better than you and the tools are more advanced than you.
I don't have a rest yet, I just learn that ordinary people do t and zero by reeling, while the machine relies on high speed. Write the password first. After the exchange has given a millisecond signal, it will automatically place an order to trade. Don't say you can't see it if you buy it.
Is it okay to have more than a thousand tickets under the vertical? Even if you can stare at 250 trading days a year, you can try to see the speed, we can't, strategy, we can definitely rank the quantified models on the overall performance of the whole market through net profit and other comprehensive performance.
The essence of the selection is indeed broken, unlike public offerings that only conduct research on a certain company. What he pursues is accuracy and hit rate. As long as he calculates a winning rate of more than 5%, he will do it. He only seeks to beat the index. This is the index enhancement.
Add another hedge, that is, quantitative hedging and neutrality, nothing is added, that is, quantitative stock selection and c t a strategy, which allows the computer to monitor the entire market in real time. For example, if the red price in many markets is different, the spread can be made. This is called cross-market arbitrage.
Although the two varieties of soybeans and soybeans are not the same, they are similar and have a substitution relationship. This is called arbitrage of similar varieties. In some industries, product a and product b are sold together. When the price of product a rises, product b will also rise in the future.
Complementary goods arbitrage is a combination of analysis and strategy, how can ordinary people compare? Since all quantitative funds use these four routines, why are the returns different? Because the strategy is inseparable from the subjective judgment of people.
All the output of the mining factor algorithm combination comes from the brain. After all, there is a difference between people and people. You know why quantitative funds are all PhDs in mathematics and physics. The quantification that the third phase of the video made everyone understand is actually not invincible.
Robots were also invented by humans. In this case, how can we fight back? Forward it to let more retail investors look at and choose fund stocks. If you learn this method, you will avoid a lot of detours, and you will not look at the fundamentals or technical aspects of stocks, but just look at the photos.
Stocks stocks in a way of looking, do you think it’s cool or not? Just finished talking with a PhD in physics, he said that the technology of convolutional neural network has been used in quantitative stock selection. What is this? If you look at this picture, look closely at an old man and a young girl.
Now this technology can also recognize two people at the same time, and image recognition is already stronger than people. In stock selection, for example, if we want to make a profit of 60 this year and can bear a loss of 20, then the machine will intercept all the pictures of individual stocks that can meet this requirement in history, about 10 million photos.
Then compare with the current market, and then make a decision, which is to use all k-line graphs as pictures to identify and judge. Whether handsome or not, there is another called quantitative timing, which uses the method of wave theory and quantum mechanics to carry out dynamic position control using the aerospace wonton theory.
what does it mean? That is, the k-line is regarded as a horizontal wave from left to right, and the speed of the horizontal wave is judged by the volume and price. When the speed is exhausted to a certain extent, it is a price of buying and selling, which triggers the rule.
Simply put, you can buy bottoms and tops, how about it. Another disciple said, can't quantification work? Don't talk about Xiaosan's gameplay, and quantify the commonly used index-enhanced c t strategy. Xiao Sangen must change quickly.
Don't make leeks after forwarding, see you next time.
Made an index product called CSI 300 e t f e external. In one to three years, overseas quantitative concepts and talents came to China, forming local and overseas groups. The overseas dispatch represented by Shikun's team, the domestic dispatch is exchanged.
The trading volume in the market in the first to three years is very large, and there are also many retail investors. It is also very conducive to the quantitative editing of the model. Just writing a linear model can make forty. arrive. In 2017, the four great diamonds of Ruitian Nine Palaces were developed and the official production was outstanding.
Magic Fang Minghong began to exert its strength in 19, rushing from 5 billion to 10 billion, and achieved the head. In December 2020, the quantitative scale was only 500 billion, and in June of the following year, the scale reached trillions, and the growth in half a year exceeded the accumulation of the previous ten years. Scary?
Non-standard industrial funds, coupled with the reverse setback of the general performance of public offering funds, have caused a lot of funds to flow into this industry. Now it is still expanding, the scale is skyrocketing, the technological means are iterated rapidly, and the quantification is fast, and the leadership has been upgraded to the computer age. But Xiaosan still stays at the stage of looking at the fundamentals, and the technology has stopped and the stocks are flat.
