Routing 201: Some of the Choices an Algo Makes in the Life of an Order

https://www.nasdaq.com/articles/routing-201%3A-some-of-the-choices-an-algo-makes-in-the-life-of-an-order-2019-11-14

Routing 101: Identifying the Cost of Routing Decisions

https://www.nasdaq.com/articles/routing-101-identifying-cost-routing-decisions-2018-12-14

 

AI-Washing: Is It Machine Learning … Or Worse?

https://tabbforum.com/opinions/ai-washing-is-it-machine-learning-or-worse/

Dr. Bimal Roy Bhanu AiXPRT – “In terms of regulatory compliance in financial services – for example, automating the KYC processes for AML and CTF – the utopia is an AI solution system that harnesses machine learning and natural language algorithms. The AI engine should not be static; rather, it should be trainable to understand any regulation regardless of geography. Also, once the system has learned a regulation, it should be simple – using a straightforward text input interface – to teach the engine to understand any differences or changes in regulation. It might take a person weeks to understand and be trained for changing regulations, whereas the AI solution can do it in a matter of hours.

Given that it can take months to manually complete compliance assurance processes, the business case for embracing the automated efficiencies, cost savings and analytics delivered by AI compliance solutions is undeniable. Such platforms are available and are infinitely superior to the illusory masquerade of the AI-washing brigade.”

1867: First stock ticker debuts

http://l.emails.history.com/rts/go2.aspx?h=732621&tp=i-H43-9I-A3l-sn3lr-1c-1cOYb-1c-smb6f-1QHxpi&x=hist-tdih-2019-1115%7c11152019%7ca0193d46a649b89283c4a61eef74e904402343d967d48482b5ada6bbeb3243c3%7c809614715%7c38673%7chist-tdih-2019-1115%7c11152019%7ca0193d46a649b89283c4a61eef74e904402343d967d48482b5ada6bbeb3243c3

On November 15, 1867, the first stock ticker is unveiled in New York City. The advent of the ticker ultimately revolutionized the stock market by making up-to-the-minute prices available to investors around the country. Prior to this development, information from the New York Stock Exchange, which has been around since 1792, traveled by mail or messenger.

The ticker was the brainchild of Edward Calahan, who configured a telegraph machine to print stock quotes on streams of paper tape (the same paper tape later used in ticker-tape parades). The ticker, which caught on quickly with investors, got its name from the sound its type wheel made.

Wikipedia https://en.wikipedia.org/wiki/Ticker_tape?wprov=sfti1

Schwab and Others Confirm Status as Casinos, Purveyors of Financial Opioids

https://alphacution.com/schwab-and-others-confirm-status-as-casinos-purveyors-of-financial-opioids/

Paul Rowady – “Ok. So, in order to avoid one of those vein-popping rants, I just want to remind that there is no such thing as a free lunch, that the retail brokerages are not charities, and that they will absolutely make up lost commission revenues in other ways, usually obfuscated way down in the guts of their workflow process where few people notice.”

State Street Announces Strategic Partnership with FactSet to Distribute MediaStats

https://www.businesswire.com/news/home/20191106005638/en/

BUSINESS WIRE – State Street MediaStats scours more than 100,000 media sources as well as other big data sources to estimate future price changes and risks pertaining to individual equities, country equity indexes, and foreign exchange rates. The indicators use natural language processing and machine learning algorithms to account for biases and helps filter out noise in the media based on an extensive body of founding partners’ research.

Financial Research: The Final Frontier for Fintech Innovation

https://tabbforum.com/opinions/financial-research-the-final-frontier-for-fintech-innovation/

Rowland ParkOf course, Refinitiv (formerly known as Reuters) and Bloomberg terminals have been a mainstay of trading desks for decades, but now firms are using algorithms to transform headlines into data which can be utilized by both human traders and algorithms, to drive trading decisions.The volume and lack of innovation in the world of financial research means that it is very difficult for market participants to effectively handle and consume the information they are receiving, leading to less-effective outcomes.The opportunity now is to use smart technology to transform the liability of information overload in financial research into the asset the analysis was designed to be in the first place.