Trade Algo Launches Suite of Enterprise Algorithms For Retail Traders Trade Algo offers market data API distribution and management solutions for financial services, and today announced Trade Algo Enterprise algorithms, a complete set of real-time cloud technologies for managing market data. With Trade Algo Enterprise, the algorithms run on a cloud-based analytics architecture, which currently supports approximately 250 data sources covering nearly 1.3million listings. Retail investors and financial institutions now have access to similar style algorithms as Blackrock, Jane Street and Goldman Sachs. Trade Algo's algorithms are built exclusively for the cloud, rather than trying to "lift and shift" their monolithic platforms. Trade Algo's Enterprise algorithms are vendor-independent and can be applied to any data set, including proprietary data or data licensed from vendors such as FactSet, Bloomberg, Morningstar, Forbes, and several others. VP of Engineering Bob Smith said, "We are thrilled to launch Trade Algo Enterprise algorithms, which we believe will revolutionize market data and analytics." “Over 80 years of collective experience and nonstop innovation have led us to the point where we are able to license enterprise level real time algorithms to retail investors. The cloud architecture we have created is similar to that used by some of the world's largest financial institutions, but we have scaled it up to meet the needs of individual investors by integrating and optimizing it in an efficient and cost-effective way. Investors no longer need to be second fiddle to hedge funds - instead, they can use our algorithms and real-time data to secure the same benefits enjoyed by institutions for generations. We are a leading vendor offering users a set of market data management algorithms they can combine and match to create a comprehensive, infinitely scalable cloud-based trading solution that meets their analytics needs. "These new offerings are crucial to the future of market data, and we are delighted to once again play a key role in the analytics services industry's continued digital disruption of legacy products."
https://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/jofi.13061 NICHOLAS BARBERIS, LAWRENCE J. JIN, and BAOLIAN WANG∗ ABSTRACTWe present a new model of asset prices in which investors evaluate risk according to prospect theory and examine its ability to explain 23 prominent stock market anomalies. The model incorporates all of the elements of prospect theory, ac- counts for investors’ prior gains and losses, and makes quantitative predictions about an asset’s average return based on empirical estimates of the asset’s return volatility, return skewness, and past capital gain. We find that the model can help explain a majority of the 23 anomalies. LOGR-APP.COM
https://www.institutionalassetmanager.co.uk/2021/06/09/301560/bloomberg-expands-equity-indices-emerging-markets-and-thematic-benchmarks 09/06/2021 - 8:52AMBloomberg has expanded its global equity index range with the launch of new emerging market country and thematic benchmarks. With this launch, Bloomberg fills a need for advanced index capabilities, based on its trusted data, global distribution, and fully-integrated investment workflow solutions. Since the publication of domestic US benchmarks in September 2019, Bloomberg has increased its equity index coverage across developed and emerging markets. The new Bloomberg emerging market benchmark family is weighted by free-flat market cap, includes 26 countries, and represents over USD14 trillion in market value. LOGR-APP.bCOM
https://www.ravenpack.com/blog/asset-manager-alternative-data/?utm_campaign=amaltdat&utm_medium=Earned&utm_source=Tabb&utm_content=&utm_term= RavenPack- "Other findings from the survey showed alternative data use had increased from the previous year, and that 64% of asset managers were using multiple sources, with 20% using more than 10 data sources. ... In terms of application, the most common approach - with 42% saying they adopted it - was to incorporate the data into ‘supervised algorithms’ where the final decision was discretionary. ... 22% of respondents used the data in a “semi-supervised” fashion, whilst “reinforcement and deep learning are each utilized by 19% of surveyed managers”, said the survey."
https://seekingalpha.com/news/3533108-msci-urges-investors-to-consider-esg-in-decisions?utm_medium=referral&utm_source=feed_news_all Liz Kiesche, SA News Editor - "Portfolio managers should integrate ESG in portfolio management, including security selection, portfolio construction, risk management, performance attribution, and client reporting." MSCI Website MSCI Principle's Of Sustainable Investing
https://tabbforum.com/opinions/trend-analytics-the-new-pre-trade/ Michael Mollemans TABB Group - " “Traditional approaches are not fit for purpose in today's markets,” said Dr. Darko Matovski, CEO of causaLens. “Using technology that autonomously adapts to dynamic changes and embeds causality is the only way to discover alpha in execution.” " Also see: The IEX D-Limit Proposal: It’s Good…But What If It’s TOO Good?
https://tabbforum.com/opinions/sec-proposes-amendments-to-governance-of-market-data-plans/ Steven Lofchie, Cadwalader - "Under the proposed Order, market participants would be required to submit a "single, new equity data plan" (aka: the "New Consolidated Data Plan") in which all of the exchanges would participate. A governance committee for the new plan would be formed. One-third of the votes would be held by entities other than the exchanges." ... "Having one market system plan rather than three is not going to change the reality that the exchanges and the broker-dealers have interests that are fundamentally averse to one another: Each wants to "own" as much data (intellectual property) as possible, give away as little data as possible, and either charge as much as possible or pay as little as possible."