Huang Xiaoming involved in 1.8 billion yuan stock manipulation case, will he be punished bankruptcy? In recent days, Huang Xiaoming has once again become the subject of a hot search, but this time it is not because of his starring role in a hit drama, but because of his involvement in a 1.8 billion yuan stock manipulation case.

Huang Xiaoming stock operation, and artificial intelligence than which means higher Ming? Things to review

On August 10, the CSRC issued a notice to punish Gao Yong for market manipulation, confiscating his illegal income of 897,387,345.82 yuan and imposing a fine of 897,387,345.82 yuan, totaling nearly 1.8 billion yuan.

Huang Xiaoming stock operation, and artificial intelligence than which means higher Ming? From the disclosure of information, from January to July 2015, Gao Yong illegally manipulated the stock price of Jinghua Pharmaceutical with 2 billion yuan, which came from the trust account under his control on the one hand, and the account lent by 14 natural persons such as Huang Mou Ming, Zhang Mou Yan, Zhang Mou and Wu Mou Jiang on the other hand.

Huang Xiaoming stock operation, and artificial intelligence than which means higher Ming? Here zhang Mou Yan, Huang Mou Ming, is considered to be the star Huang Xiaoming mother and son.

On August 11, Huang xiaoming’s studio issued a statement saying that Huang xiaoming did not know Gao and was not involved in any stock manipulation. “I have never been punished or involved in any stock-related investigation.”

On August 12, some we-media continued to write an article titled “Huang Xiaoming’s Statement of Regret: Hypocrisy and Arrogance”, refuting Huang Xiaoming’s statement and accusing the other side of playing word games. Huang Xiaoming was directly slapped in the face.

On August 13, Caixin media reported that one of the natural person accounts in the 1.8 billion yuan stock case was indeed an account under the name of huang Xiaoming, a film and television star. So far, Huang Xiaoming’s first wave of crisis management completely failed. Netizens praised Huang Xiaoming’s “excellent acting”.

So, how did this big event in entertainment and stock circles continue to ferment be manipulated? – Skill Get! Traders change careers — finance on behalf of clients

In popular terms, it means that professional financial institutions or individuals provide financial services for customers and receive remuneration. Remuneration includes basic fee + profit commission. Management fee is generally charged annually and the expense rate varies from 1%-5%. Profit is divided according to the income of financial management.

This cooperation mode is acquaintance introduction commonly, the broker that also has on the market turns introduction technically, they can collect a few intermediate fee. Clients and real traders generally do not have direct contact, which is conducive to avoiding risk in the event of an accident. The middleman is usually a person who is trusted by both parties and negotiates many issues, such as revenue sharing mechanisms and risk aversion.

For high 16 accounts using money advantage bid up the price, now the way has been phased out, the securities and futures commission of big data is very severe, for example, you use account group concentrated financial advantage continuously pull harden method, may be a few years ago, that’s ok, now this has very few people use the simple and crude, “stop” mechanism of the CSRC alone can let you prostrate. “Now the market is not good, coupled with the CSRC’s scrutiny, many previously active traders [accounts] are dormant.”

Explanation: “Money management on behalf of customers”

Gao yong used the 16 securities accounts of Huang Xiaoming and others in his hands to engage in the transactions involved, and was only suspected of manipulating the stock of “Essence Pharmaceutical”, making illegal profits of 897 million yuan in half a year. From the announcement issued by the CSRC, Gao Yong account group through the trust plan and other ways to enlarge the leverage of funds, concentrated capital advantage, with continuous capping limit, continuous trading and other means of “elite pharmaceutical” implementation of manipulation.

When the shareholders were continuous pull of the illusion confused, began to rush into the field, Gao Yong began to sell shares. Because the shipment quantity is too big, unilateral sell easy to cause share price to plunge, Gao Yong account group takes one side cash, one side buy to pull up build banker wash dish illusion, seduce more retail enter the field to receive dish.

A few days ago, the CSRC another “Zhu Yidong, Li Weiwei manipulation of Dalian porcelain” case, known as “the first trader in North China” Li Weiwei and Zhu Yidong is also through the intermediary introduction and reached a principal-agent relationship. According to the NOTICE of the CSRC, Li Weiwei’s account group involved in the case used the capital advantage to buy and sell continuously, and pulled up the stock price; False declaration to manipulate the opening price; Transactions between accounts under their control, affecting the volume of transactions; Listed companies cooperate with the release of positive information, using information advantage to manipulate stock prices and other means.

A fund industry personage told the Youth Daily reporter, on behalf of the customer financial management operation team mostly walk in the gray area, they are often associated with insider trading. Their operation technique is generally more radical, in a period of time to concentrate capital advantage to pull a stock, basically without what risk control mechanism, when the market is good, the income is very high, the likelihood of short-term doubling, but when the market is bad, also can suffer a lot of losses. Take Li Weiwei’s case as an example, he secretly increased the leverage ratio of matching capital, ultimately leading to the bursting of the matching capital account. In fact, when the market is bad, traders are caught up in the common things, they are blindly attack, no defense. Once the market volatility, easy to burst positions. It is not easy for these traders to make money without resorting to illegal methods.

Guo Ya, a lawyer at The Zhongyin Law Firm, said that under the current law, “managing money on behalf of customers” is a grey area. The low cost of breaking the law makes some criminals desperate.

Alternative stock speculation exists — artificial intelligence, and on behalf of the customer financial management than which means higher Ming? After all, AlphaGo is the first artificial intelligence robot to defeat a human professional go player and the first artificial intelligence robot to defeat the world champion of Go. In the field of stocks, which is better, artificial intelligence or a financial trader on behalf of customers?

A crawler crawls stock data

import requests from bs4 import BeautifulSoup import traceback import re def getHTMLText(url): try: User_agent = ‘headers = {‘ user-agent ‘: user_agent} r = requests.get(url,headers = headers,timeout = 30) r.raise_for_status() r.encoding = r.apparent_encoding return r.text except: return “”

def getStockList(lst,stock_list_url): html = getHTMLText(stock_list_url) soup = BeautifulSoup(html,’html.parser’) a = soup.find_all(‘a’) for i in a: try: href = i.attrs[‘href’] lst.append(re.findall(r”shd{6}”,href)[0]) #print(lst) except: continue

def getStockInfo(lst,stock_info_url,fpath): for stock in lst: url = stock_info_url + stock + ‘.html’ html = getHTMLText(url) try: if html ==””: continue infoDict = { } soup = BeautifulSoup(html,’html.parser’) stockInfo = soup.find(‘div’,attrs = {‘class’:’stock-bets’}) if stockInfo == None: continue #print(stockInfo) name = stockInfo.find_all(attrs={‘class’:’bets-name’})[0] #print(name) Infodict.update ({‘ stock name ‘: name.text.split()[0]})

keyList = stockInfo.find_all(‘dt’) valueList = stockInfo.find_all(‘dd’) for i in range(len(keyList)):

key = keyList[i].text val = valueList[i].text infoDict[key] = val with open(fpath,’a’,encoding = ‘utf-8’) as f: f.write(str(infoDict) + ‘ ‘) except: traceback.print_exc() continue

Def the main () : stock_list_url = ‘quote.eastmoney.com/stocklist.h… ‘ stock_info_url = ‘gupiao.baidu.com/stock/’ output_file = ‘D: / / Postgraduate / / Python / / / / Python Python project web crawler MOOC with information extraction – China university / / 3 web crawler’s actual combat / / BaiduStockInfo. TXT’ slist = [] getStockList(slist,stock_list_url) getStockInfo(slist,stock_info_url,output_file)

The main () tutorial:

Python- Fetching stock info: edu.csdn.net/course/deta…

Python: Project 1: Web crawler and crawler stock data: edu.csdn.net/course/deta…

Data Science Practices – Portfolio Optimization for Stocks: edu.csdn.net/course/deta…

Python Project: Data visualization and stock data analysis

Edu.csdn.net/course/deta… ($39)

The first getHTMLText function is used to obtain the required source code of the web page. The second getStockList function is used to obtain the full code of the Shanghai stock listed on the Oriental Fortune website. SHD {6} = SHD {6} = SHD {6} = SHD {6} That is, xu Ya matches information such as SH200010. The third function needs to splice a URL according to the stock code obtained by the second function. In the web page of this specific URL, use the first function to parse the web page, first add a judgment. We also need to add a judgment (crucial) that the HTML source code still exists when the web page does not exist, so the following command stockInfo = soup.find(‘div’,attrs = {‘class’:’stock-bets’}) may be empty, Without judgment, the program will report an error at this point and cannot continue execution, so add:

If stockInfo == None: Continue The Python crawler filters stocks

I recently opened a stock trading account, so I wrote a script in Python to screen out the penny stocks (customizable price) that have gained less than 20% since the first quarter of 2018 (average opening and closing prices). See the code. Python is version 3.4.

Tutorial:

Python- Fetching stock info: edu.csdn.net/course/deta…

Python: Project 1: Web crawler and crawler stock data: edu.csdn.net/course/deta…

Data Science Practices – Portfolio Optimization for Stocks: edu.csdn.net/course/deta…

Python Project: Data visualization and stock data analysis

Edu.csdn.net/course/deta… ($39)

import http.cookiejar import urllib.request import json import re from bs4 import BeautifulSoup

def getOpener(head):

deal with the cookies

cj = http.cookiejar.CookieJar() pro = urllib.request.HTTPCookieProcessor(cj) opener = urllib.request.build_opener(pro) header = [] for key, value in head.items(): elem = (key, value) header.append(elem) opener.addheaders=header return opener

head = { ‘Host’:’vip.stock.finance.sina.com.cn’, ‘Connection’: ‘Keep-Alive’, ‘Accept’: ‘text/html,application/xhtml+xml,application/xml; Q = 0.9, /; Q = 0.8 ‘, ‘the Accept – Language’ : ‘useful – CN, useful; Q = 0.8, en – US; Q = 0.5, en. Q =0.3’, ‘user-agent ‘: ‘Mozilla/5.0 (Windows NT 6.1; WOW64; The rv: 38.0) Gecko / 20100101 Firefox / 38.0 ‘} opener = getOpener (head) baseurl = ‘vip.stock.finance.sina.com.cn/quotes_serv… ‘stop=False stopNum=18.01 num=0 for I in range(4,20): print(“=================page:”+str(i)+”====================”) url=baseurl+str(i) op=opener.open(url) data=op.read().decode(‘GBK’) data=re.sub(‘ticktime:”(.?)”,’,”,data) data=data.replace(‘{‘,'{“‘).replace(‘:’,'”:’).replace(‘,’,’,”‘).replace(‘,”{“‘,’,{“‘) #print(data) data=json.loads(data) for j in range(len(data)): trade=float(data[j][‘trade’]) if trade>0: if trade

Trade2 print(trade2) print(pricechange) print(pricechange) print(pricechange) print(pricechange) print(pricechange) print(pricechange) print(pricechange) print(pricechange) print(pricechange) Volume) print(‘ % ‘:’, amount) num=num+1 print(‘ % ‘+ STR (num)+’*****’) else: continue else: stop=True break else: Continue if stop==True: break