While financial data presents one of the most challenging and interesting sequence modelling tasks due to high noise, heavy tails, and strategic interactions, progress in this area has been hindered by the lack of consensus on quantitative evaluation paradigms. To address this, we present LOB-Bench, a benchmark, implemented in python, designed to evaluate the quality and realism of generative message-by-order data for limit order books (LOB) in the LOBSTER format. Our framework measures distributional differences in conditional and unconditional statistics between generated and real LOB data, supporting flexible multivariate statistical evaluation. The benchmark also includes features commonly used LOB statistics such as spread, order book volumes, order imbalance, and message inter-arrival times, along with scores from a trained discriminator network. Lastly, LOB-Bench contains "market impact metrics", i.e. the cross-correlations and price response functions for specific events in the data. We benchmark generative autoregressive state-space models, a (C)GAN, as well as a parametric LOB model and find that the autoregressive GenAI approach beats traditional model classes.

Alphabet's (NASDAQ:GOOG) (NASDAQ:GOOGL) moat was recently questioned by many market analysts and SA contributors alike, due to the exciting arrival of ChatGPT. However, we beg to differ, since the AI chatbot game was not new, with Microsoft (MSFT) previously launching its own version, Tay AI in 2016 and Meta (META), similarly introducing BlenderBot 3 AI in August 2022. We must also highlight that GOOG has had a similar offering since 2020, LaMDA [Language Model for Dialogue Applications], in various beta forms and iterations. Most importantly, the ChatGPT platform was originally developed by researchers at GOOG in 2017. One of the platform's engineer, Blake Lemoine, had interestingly believed that the LaMDA AI platform was sentient then. The following is ChatGPT's response when asked, "tell me more about you": According to market speculation, LaMDA was previously not launched, as the AI chatbot's conversational platform did not fit with GOOG's existing advertising model, which accounted for 81% of its revenue in FY2021.

Thinking artificial intelligence could boost your portfolio right about now? But which AI stocks beyond the usual suspects: Alphabet Inc. (NASDAQ: GOOG), Apple Inc. (NASDAQ: AAPL), Twilio Inc. (NYSE: TWLO), ServiceNow, Inc. (NYSE: NOW), NVIDIA Corporation (NASDAQ: NVDA) and QUALCOMM Incorporated (NASDAQ: QCOM). Whether you believe some of the famous companies above are bearish and/or overvalued (another argument for another day) or are just looking to inject some new blood into your portfolio, let's go through some options you might consider. But first, in the interest of education, what are AI stocks and which ones should you consider right now? Let's find out. At its most basic level, artificial intelligence (AI) refers to an algorithm or dynamic machine that learns and interprets the data given to it.

Before the year 2014, there were many people using Google, Facebook, and Amazon. Today, there are still many people using services from those three tech giants (respectively, GOOG, FB, AMZN). Not much has changed, and quite literally the user interface and features on those sites has remained mostly untouched. However, the underlying dynamics of power on the Web have drastically changed, and those three companies are at the center of a fundamental transformation of the Web. It looks like nothing changed since 2014, but GOOG and FB now have direct influence over 70% of internet traffic. Internet activity itself hasn't slowed down. What has changed over the last 4 years is market share of traffic on the Web.

The basic metric of success is to get the error less than the baseline. It means that the final model has good quality. The first question is how to measure quality. It could be squared errors. After that, we can estimate the interval by bootstrapping method.

The US dollar had an event-heavy week to start off June. The US dollar surged early last week as the uncertainty about the Euro arose due to political events happened in Europe and the volatility in Asian markets driven by threats of an immediate trade war between the US and China. On Thursday (May 31), the Euro rebounded as Italy's politicians seemed to have found a resolution to their struggles in forming a new government. In the same day, the Trump administration announced it was putting tariffs on steel and aluminum imports from Canada, Mexico and Europe, strengthening fears over the trade war and making the US dollar suffer a slump. The US labor indicators highlighted the fundamental strength of the country's economy and made the US dollar extend gains amid the Europe geopolitical turmoil.

Alphabet Inc (NASDAQ:GOOG) traded 4.26 Million shares and was closed at $795.37 per share. The current share price indicate that stock is -2.61% away from its one year high and is moving 19.95% ahead of its one year low. Stock monthly performance is recorded as 2.63% while its performance in last 5 sessions is -0.50%. At the movement stock is under coverage by number of analysts. The consensus recommendation by Thomson Reuters analysts is Outperform and their mean rating for the stock is 1.69 on scale of 1-5.

What technologies are venture capital (VC) firms betting on today? The top 10 industry verticals in terms of capital invested so far in 2016 are: mobile ($14.4 billion), SaaS ($13.4 billion), E-commerce ($8.7 billion), LOHAS (Lifestyles of Health and Sustainability, or green living & technology; $7.5 billion), life sciences ($6.8 billion), big data ($3.8 billion), oncology ($3.5 billion), Fintech ($3.4 billion), manufacturing ($2.4 billion) and cybersecurity ($2.2 billion). Some headline-grabbing technologies rank lower: artificial intelligence (AI) and machine learning are 13th ($1.4 billion), virtual reality (VR) is 16th ($1.1 billion), robotics and drones are 19th ($695 million) and autonomous cars are 23rd ($353 million). This analysis, through October 26, 2016, was developed for Investopedia by PitchBook, the official data provider of the National Venture Capital Association (NVCA). Note that a given deal may fall into multiple categories, if the firm being funded operates in multiple verticals.

One of the biggest reasons for NVIDIA AAAs ( NVDA) explosive growth in the last few quarters has been the companyAAAs datacenter and auto segments posting solid gains. The additional revenue NVIDIA was able to earn out of these two segments propelled the company to post over 20% growth for the quarter. But where is that growth coming from and how does NVIDIA stand to gain from an evolving tech landscape? To understand that, we need to look into artificial intelligence as a viable industry segment. In an earlier article called " NVIDIA: Where Will Real Growth Originate," I covered a different side of its future growth drivers.

Facebook (NASDAQ:FB) disclosed that it now has over 11k chatbots on its FB Messenger platform and over 23k developers have signed up for the platform's bot engine. This is very impressive given that the chatbot function was only introduced several months ago and recent conversation with third-party developers in sports, life, ecommerce and local entertainment verticals suggests that the bots are driving engagements higher as users seek info via FB Messenger bots. This is certainly a positive for FB and a critical component of the overall FBM ecosystem. I have often argued that FBM's biggest potential lies in its ability to replicate the Wechat model to retain users and build an ecosystem featuring search, ecommerce, payment, advertising, gaming and social networking. Long-term implication could be a negative to Google (NASDAQ:GOOG) if additional developers are enrolled on the FBM chatbot network and the quality of results increase.