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airports on 'Unfiltered with Dan Bongino. Fox News host Dan Bongino discusses the crackdown on conservative censorship in Saturday's 'Unfiltered' monologue.

Health expert Jamie Metzl weighs in on coronavirus origins as Republicans pledge to continue investigation on 'Fox News Live. Karl Rove joins Brian Kilmeade in taking stock of what's good about America and analyzing President Biden's handling of the border on 'One Nation. Fox News host Brian Kilmeade puts the freedoms of Americans in perspective and argues Americans spend way too much time criticizing the country on 'One Nation.

Princeton University political scientist Lauren Wright, Ph. citizenship test in part to multiple choice. Lance Gooden, R-Texas, joins 'Fox Report' to discuss the consequences from the Biden administration ending Title 42 amid 'unprecedented' border encounters and illegal crossings.

A locally elected Democratic official says the proposed revisions to Washington, D. Fox News medical contributor Dr. Marc Siegel joins 'Fox News Live' to discuss the history surge in respiratory illnesses in the United States. Defense attorney and formal prosecutor Robert Schalk joins 'Fox News Live' to discuss an FTX lawsuit against big-name celebrities.

But most Americans aren't buying it. 将你的预期值和实际值进行比较,如果不一样,就是这种debugger 只能通过浏览器调用的堆栈区分出正确的逻辑。通过将editbreakpoint设置为false 可以禁用这个调试。通过hook方式,将运行的函数设为空就可以跳过debugger了。最好的方式就是不要被识别出来调试,可以通过下hook解决。非虚拟机的方式不会跳转 到一个vm的页面。在eval里面运行debugger.

我们的目的为了让js代码运行起来。可以不需要解密,将代码扣出来运行就可以。任何一个js类型的变量结果 加上一个字符串 ,只会变成字符串。所以这个调试起来很麻烦 只能单步调试 还是用解密工具解密。通过这种特性 可以组合成各种各样的加密方式。这个的原理就是将各种字符串加起来。2个值通过 运算会变成0或者1. js默认 支持Unicode的。所以支持所有的国家语种。有没有哪些国家的和O很像但不是O,和0很像但不是0,和p很像但不是p所以可以用这个相近的符号进行代码混淆。. 能修改输出js运行当中的一些变量的值能下断点批量监听一些变量值当渲染时,样式发生改变,会触发DOM断点它一般在 用户触发了某个事件 时,段下来。执行的比较考前,距离加密函数比较远。所以无法根据栈去快速定位。它的优点时定位的比较准。清空Dom断点最后的最后由本人水平所限,难免有错误以及不足之处, 屏幕前的靓仔靓女们 如有发现,恳请指出!你轻轻地点了个赞,那将在我的心里世界增添一颗明亮而耀眼的星!.

通过本地运行js代码那 实现脱离浏览器后 能够实现和浏览器上运行加密js的效果。网站上完全都是JavaScript实现的加密,我们的目的要知道加密的整个过程,并且实现这个加密的过程,拿到和浏览器一样的加密的结果。得到加密的结果之后就可以跳过浏览器,本地直接给服务器发送加密数据,从而直接获取服务器响应的结果。. 页面中有很多事件,比如说鼠标按下,滚动条滑动。最后的最后由本人水平所限,难免有错误以及不足之处, 屏幕前的靓仔靓女们 如有发现,恳请指出!你轻轻地点了个赞,那将在我的心里世界增添一颗明亮而耀眼的星!. 日常的web自动化过程中,我们常常用python selenium库来操纵Chrome浏览器实现网页的自动化。这其中有个比较头疼的问题:Chrome的更新频率非常频繁,与之对应的Chromedriver版本也必须相应更新。如果两者版本的主版本号相差超过1,selenium则会报异常.

如何在实体手机上,保证手机能够正常运行uiautomator2,并安装ATX-agent。以小米手机为例子,首先打开 设置-更多设置-开启开发者模式。如果初始化完成后,发现手机并没有安装ATXagent应用。说明设备未认证(unauthorized),此时,当你看到这个,就说明手机安装成功了环境。需要记得,将 USB安装 勾选上。. TA创建的收藏夹 TA关注的收藏夹. RGB颜色,例如: AFAFAF. 预览 取消 提交. 上一步 保存. 博客 资源 收藏 关注. 只看原创 排序: 按最后发布时间 按访问量 RSS订阅. 原创 Python量化交易实战教程汇总 B站配套视频教程观看设计适合自己并能适应市场的交易策略,才是量化交易的灵魂课程亲手带你设计并实现两种交易策略,快速培养你的策略思维能力择时策略:通过这个策略学会如何利用均线,创建择时策略,优化股票买入卖出的时间点。选股策略:掌握选股策略的核心逻辑,并基于收益率创建动量选股策略,并验证其有效性。手把手带你打造一个易扩展、更安全、效率更高的量化交易系统第三方平台大而全,不易扩展,效率还差,信息安全也是大问题,打造自己的交易平台才是更优解所有文章目录Python量化交易实战双均线策略股 原创 Js逆向教程AST Babel插件最简单修改值示例 最后的最后由本人水平所限,难免有错误以及不足之处, 屏幕前的靓仔靓女们 如有发现,恳请指出!你轻轻地点了个赞,那将在我的心里世界增添一颗明亮而耀眼的星! 原创 Js逆向教程vscode无环境联调 最后的最后由本人水平所限,难免有错误以及不足之处, 屏幕前的靓仔靓女们 如有发现,恳请指出!你轻轻地点了个赞,那将在我的心里世界增添一颗明亮而耀眼的星! 原创 Js逆向教程Hook基础 Hook就是在这些流程任意环节插入自己的代码,让浏览器先执行自己的代码 然后再执行原本网站的hook在以下流程中可以做的事情:hook在以下流程中可以做的事情上下文:表示一个环境(js上下文就是v8引擎,浏览器是不同的页签就是不同的上下文,js中的eval还是在一个上下文。只是虚拟机、)作用域:控制变量所生效的位置。作用域是更小的一个级别 处于上下文中结果如下:解释器是如何处理这段代码:首先解释器知道var xuhss在内存中声明了一个全局变量数组保存了xuhss,以后用的话,就到这个数组中找。如果数 php请求 原创 Js逆向教程websocket介绍 Ws和Wss的区别相当于http和https的区别,如果你想写一个聊天页面,需要频繁请求后台接口 还需要设置间隔时间(每隔1s发送一个请求) 才能拿到后台服务器的数据,因为http是轮询方式,只有请求完成后,才能拿到结果,只有客户端能发请求,所以说 要轮询。缺点就是占用服务器的性能?更好的方案就是websocket,它是浏览器实现的。浏览器在底层升级http协议,从http协议升级到websocket只需要添加几个头部信息就可以完成升级。 1.

原创 Js逆向教程极验滑块 实现加密算法的逻辑 还是和上节课一样,针对这个网址。 原创 Js逆向教程极验滑块 找到w加密位置 最后的最后由本人水平所限,难免有错误以及不足之处, 屏幕前的靓仔靓女们 如有发现,恳请指出!你轻轻地点了个赞,那将在我的心里世界增添一颗明亮而耀眼的星! 原创 Js逆向教程滑块流程 极验 HTML5 的 canvas 元素使用 JavaScript 在网页上绘制图像。画布是一个矩形区域,您可以控制其每一像素。就是位图操作,可以理解为一个画图工具。可以任意对每个像素点进行任意操作之前讲解有一种断点类型叫做 事件监听断点,里面可以对canvas进行监听CanvasCreate canvas context 创建事件都选创建事件断点后,再刷页面断在这个地方:这里的代码用了流程平坦化打乱了最后的最后。 原创 Js逆向教程反调试 将你的预期值和实际值进行比较,如果不一样,就是这种debugger 只能通过浏览器调用的堆栈区分出正确的逻辑。通过将editbreakpoint设置为false 可以禁用这个调试。通过hook方式,将运行的函数设为空就可以跳过debugger了。最好的方式就是不要被识别出来调试,可以通过下hook解决。非虚拟机的方式不会跳转 到一个vm的页面。在eval里面运行debugger.

原创 Js逆向教程FuckJs 我们的目的为了让js代码运行起来。可以不需要解密,将代码扣出来运行就可以。任何一个js类型的变量结果 加上一个字符串 ,只会变成字符串。所以这个调试起来很麻烦 只能单步调试 还是用解密工具解密。通过这种特性 可以组合成各种各样的加密方式。这个的原理就是将各种字符串加起来。2个值通过 运算会变成0或者1. jsfuck有对应的解密工具及。我们这里只是讲解js的混淆机制。可以看到只有这3种字符。 原创 Js逆向教程常见混淆AA和JJ js默认 支持Unicode的。所以支持所有的国家语种。有没有哪些国家的和O很像但不是O,和0很像但不是0,和p很像但不是p所以可以用这个相近的符号进行代码混淆。 原创 Js逆向教程常见代码混淆 最后的最后由本人水平所限,难免有错误以及不足之处, 屏幕前的靓仔靓女们 如有发现,恳请指出!你轻轻地点了个赞,那将在我的心里世界增添一颗明亮而耀眼的星! 原创 Js逆向教程常见的加密方式 最后的最后由本人水平所限,难免有错误以及不足之处, 屏幕前的靓仔靓女们 如有发现,恳请指出!你轻轻地点了个赞,那将在我的心里世界增添一颗明亮而耀眼的星! 原创 Js逆向教程跟值技巧 一般不会出现在jquery成熟的第3仓库里面。jquery是封装好的成熟的第3仓库,一般不会去修改它。因为如果jquery版本提升了,还要去改jquery。 原创 Js逆向教程方法栈 最后的最后由本人水平所限,难免有错误以及不足之处, 屏幕前的靓仔靓女们 如有发现,恳请指出!你轻轻地点了个赞,那将在我的心里世界增添一颗明亮而耀眼的星! 原创 Js逆向教程js逆向断点的种类及介绍 能修改输出js运行当中的一些变量的值能下断点批量监听一些变量值当渲染时,样式发生改变,会触发DOM断点它一般在 用户触发了某个事件 时,段下来。执行的比较考前,距离加密函数比较远。所以无法根据栈去快速定位。它的优点时定位的比较准。清空Dom断点最后的最后由本人水平所限,难免有错误以及不足之处, 屏幕前的靓仔靓女们 如有发现,恳请指出!你轻轻地点了个赞,那将在我的心里世界增添一颗明亮而耀眼的星! 原创 Js逆向教程明确js逆向的目标 通过本地运行js代码那 实现脱离浏览器后 能够实现和浏览器上运行加密js的效果。网站上完全都是JavaScript实现的加密,我们的目的要知道加密的整个过程,并且实现这个加密的过程,拿到和浏览器一样的加密的结果。得到加密的结果之后就可以跳过浏览器,本地直接给服务器发送加密数据,从而直接获取服务器响应的结果。 原创 Js逆向教程浏览器调试工具-Application页面 本地网站应用缓存页面。 原创 Js逆向教程浏览器调试工具-Source面板 切换到source面板,对于source面板,需要打开搜索面板才能发挥出完整的功能。 原创 Js逆向教程浏览器调试工具-Network面板 最后的最后由本人水平所限,难免有错误以及不足之处, 屏幕前的靓仔靓女们 如有发现,恳请指出!你轻轻地点了个赞,那将在我的心里世界增添一颗明亮而耀眼的星! 原创 Js逆向教程浏览器调试工具-可视化的Elements 页面中有很多事件,比如说鼠标按下,滚动条滑动。最后的最后由本人水平所限,难免有错误以及不足之处, 屏幕前的靓仔靓女们 如有发现,恳请指出!你轻轻地点了个赞,那将在我的心里世界增添一颗明亮而耀眼的星! 原创 python一招自动搞定Chromedriver爬虫驱动的更新 日常的web自动化过程中,我们常常用python selenium库来操纵Chrome浏览器实现网页的自动化。这其中有个比较头疼的问题:Chrome的更新频率非常频繁,与之对应的Chromedriver版本也必须相应更新。如果两者版本的主版本号相差超过1,selenium则会报异常.

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Prediction markets also known as betting markets , information markets , decision markets , idea futures or event derivatives are open markets where specific outcomes can be predicted using financial incentives.

Essentially, they are exchange-traded markets created for the purpose of trading the outcome of events. Prediction markets can be thought of as belonging to the more general concept of crowdsourcing which is specially designed to aggregate information on particular topics of interest.

The main purposes of prediction markets are eliciting aggregating beliefs over an unknown future outcome. Traders with different beliefs trade on contracts whose payoffs are related to the unknown future outcome and the market prices of the contracts are considered as the aggregated belief.

Before the era of scientific polling, early forms of prediction markets often existed in the form of political betting. One such political bet dates back to , in which people bet on who would be the papal successor.

Even then, it was already considered "an old practice". Economic theory for the ideas behind prediction markets can be credited to Friedrich Hayek in his article " The Use of Knowledge in Society " and Ludwig von Mises in his " Economic Calculation in the Socialist Commonwealth ".

Modern economists agree that Mises' argument combined with Hayek's elaboration of it, is correct. The ability of the prediction market to aggregate information and make accurate predictions is based on the efficient-market hypothesis , which states that assets prices are fully reflecting all available information.

For instance, existing share prices always include all the relevant related information for the stock market to make accurate predictions. James Surowiecki raises three necessary conditions for collective wisdom: diversity of information, independence of decision, and decentralization of organization.

The market itself has a character of decentralization compared to expertise decisions. Because of these reasons, predictive market is generally a valuable source to capture collective wisdom and make accurate predictions. Prediction markets have an advantage over other forms of forecasts due to the following characteristics.

Next, they obtain truthful and relevant information through financial and other forms of incentives. Prediction markets can incorporate new information quickly and are difficult to manipulate.

The accuracy of the prediction market in different conditions has been studied and supported by numerous researchers. Due to the accuracy of the prediction market, it has been applied to different industries to make important decisions. Some examples include:. Although prediction markets are often fairly accurate and successful, there are many times the market fails in making the right prediction or making one at all. Based mostly on an idea in by Austrian economist Friedrich Hayek , prediction markets are "mechanisms for collecting vast amounts of information held by individuals and synthesizing it into a useful data point".

One way the prediction market gathers information is through James Surowiecki's phrase, " The Wisdom of Crowds ", in which a group of people with a sufficiently broad range of opinions can collectively be cleverer than any individual.

However, this information gathering technique can also lead to the failure of the prediction market. Oftentimes, the people in these crowds are skewed in their independent judgements due to peer pressure, panic, bias, and other breakdowns developed out of a lack of diversity of opinion.

One of the main constraints and limits of the wisdom of crowds is that some prediction questions require specialized knowledge that majority of people do not have. Due to this lack of knowledge, the crowd's answers can sometimes be very wrong. The second market mechanism is the idea of the marginal-trader hypothesis. In early , researchers at MIT developed the "surprisingly popular" algorithm to help improve answer accuracy from large crowds. The method is built off the idea of taking confidence into account when evaluating the accuracy of an answer.

The method asks people two things for each question: What they think the right answer is, and what they think popular opinion will be. The variation between the two aggregate responses indicates the correct answer. The effects of manipulation and biases are also internal challenges prediction markets need to deal with, i.

liquidity or other factors not intended to be measured are taken into account as risk factors by the market participants, distorting the market probabilities. Prediction markets may also be subject to speculative bubbles. There can also be direct attempts to manipulate such markets. In the Tradesports presidential markets there was an apparent manipulation effort.

An anonymous trader sold short so many Bush presidential futures contracts that the price was driven to zero, implying a zero percent chance that Bush would win. The only rational purpose of such a trade would be an attempt to manipulate the market in a strategy called a " bear raid ".

If this was a deliberate manipulation effort it failed, however, as the price of the contract rebounded rapidly to its previous level. As more press attention is paid to prediction markets, it is likely that more groups will be motivated to manipulate them.

However, in practice, such attempts at manipulation have always proven to be very short lived. In their paper entitled "Information Aggregation and Manipulation in an Experimental Market" , [22] Hanson, Oprea and Porter George Mason U , show how attempts at market manipulation can in fact end up increasing the accuracy of the market because they provide that much more profit incentive to bet against the manipulator. Using real-money prediction market contracts as a form of insurance can also affect the price of the contract.

For example, if the election of a leader is perceived as negatively impacting the economy, traders may buy shares of that leader being elected, as a hedge. These prediction market inaccuracies were especially prevalent during Brexit and the US Presidential Elections. On Thursday, 23 June , the United Kingdom voted to leave the European Union. Even until the moment votes were counted, prediction markets leaned heavily on the side of staying in the EU and failed to predict the outcomes of the vote.

According to Michael Traugott , a former president of the American Association for Public Opinion Research , the reason for the failure of the prediction markets is due to the influence of manipulation and bias shadowed by mass opinion and public opinion. Similarly, during the US Presidential Elections, prediction markets failed to predict the outcome, throwing the world into mass shock. Like the Brexit case, information traders were caught in an infinite loop of self-reinforcement once initial odds were measured, leading traders to "use the current prediction odds as an anchor" and seemingly discounting incoming prediction odds completely.

Because online gambling is outlawed in the United States through federal laws and many state laws as well, most prediction markets that target US users operate with "play money" rather than "real money": they are free to play no purchase necessary and usually offer prizes to the best traders as incentives to participate.

Notable exceptions are the Iowa Electronic Markets , which is operated by the University of Iowa under the cover of a no-action letter from the Commodity Futures Trading Commission , and PredictIt , which is operated by Victoria University of Wellington under cover of a similar no-action letter.

Some kinds of prediction markets may create controversial incentives. For example, a market predicting the death of a world leader might be quite useful for those whose activities are strongly related to this leader's policies, but it also might turn into an assassination market.

Some prediction websites, sometimes classified as prediction markets, do not involve betting real money but rather add to or subtract from a predictor's reputation points based on the accuracy of a prediction.

This incentive system may be better-suited than traditional prediction markets for niche or long-timeline questions. A study found that real-money prediction markets were significantly more accurate than play-money prediction markets for non-sports events.

A combinatorial prediction market is a type of prediction market where participants can make bets on combinations of outcomes. One difficulty of combinatorial prediction markets is that the number of possible combinatorial trades scales exponentially with the number of normal trades. These exponentially large data structures can be too large for a computer to keep track of, so there have been efforts to develop algorithms and rules to make the data more tractable.

From Wikipedia, the free encyclopedia. Markets created for the purpose of trading the outcome of events. This article needs additional citations for verification. Please help improve this article by adding citations to reliable sources.

Unsourced material may be challenged and removed. Find sources: "Prediction market" — news · newspapers · books · scholar · JSTOR August Learn how and when to remove this template message. Perspectives on Politics. Journal of Economic Perspectives. CiteSeerX doi : Angrist 28 August The University of Iowa, Henry B. Tippie College of Business.

Archived from the original on 30 November Retrieved 7 November Clinical Infectious Diseases. ISSN PMID Archived from the original on 13 June Retrieved 3 February The Wisdom of Crowds.

New York: Anchor Books. Archived from the original PDF on 12 April Retrieved 20 August Archived from the original PDF on 12 November Lee; Årup Nielsen, Finn S2CID The Economic Journal.

The New York Times. Ars Technica. Condé Nast. Retrieved 19 April MIT News Office, 25 January dvi" PDF. Archived from the original on 20 April Retrieved 5 October The Economist.

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