Industry News: Machine Learning and Artificial Intelligence News November 6, 2017
AI and ML for investing, ETFs, Cliff Asness, BofE, Manifold Partners, Japan’s bank, SoftBank, lack of skilled AI teammates, Uber, MarketX, fake news, …
FINTECH
FINTECH, short for Financial Technology, describes the emerging technology applied to financial services including trading, investments, banking, and marketplaces including current exchanges and new alternative marketplaces. FINTECH covers innovations that are rapidly changing all aspects of the front office, middle office, and back office. CloudQuant is considered a FINTECH company as we are bringing crowdsourcing to algorithmic trading. Other FINTECH innovations include cryptocurrencies, machine learning, and deep learning applications.
Posts
Deep Dive With JLN: How Can The Financial Industry Draw In The Next Generation Of Talent?
The former trading floors provided a sense of community. Electronic trading communities like CloudQuant provide a bright future for new traders.
Discussing Crowd Sourcing Algos with Jill Malandrino of NASDAQ
NASDAQ’s Jill Malandrino discusses crowd research in an Algo World with Morgan Slade and Tayloe Draughon at the FIA Expo 2017
CloudQuant Hires Industry Veteran To Influence and Accelerate Crowd-Sourced Licensing Model
Tayloe Draughon has joined the management team as Senior Product Manager. He is a specialist in FINTECH and electronic trading product management.
Big Data, Data Analytics, Data Science in the News October 5, 2017
Data Science Topics: UBS, data quality, cloud-native, Morgan Stanley, wildlife monitoring drones, targeted marketing, retirement planning, Boeing, Google AI
Industry News: Machine Learning and Artificial Intelligence News for the week ending September 25, 2017
Big Data, Data Analytics News: Wall Street Robots, SEC, Microsoft, Nvidia, REGTECH, financial services firms, KPIs all using Data Science…
Machine Learning and Artificial Intelligence in the News September 18
ML Frameworks, Robots and your job, Trends for Investment Managers, Chief Risk Officers, FINTECH peers are “Faking it till the make it”
FintekNews: 3 Questions with John “Morgan” Slade of CloudQuant
FintekNews recently asked 3 Questions of our CEO Morgan Slade. This is in response to our recently announced launch with a $15M allocation to a crowd based trading strategy algo creator.
Kershner Trading Announces the Formation of CloudQuant
November 1, 2016 Chicago, Illinois For Immediate Release
Kershner Trading Group, LLC announces the formation of CloudQuant®, a wholly owned subsidiary.
CloudQuant is:
- an educator,
- a facilitator for traders, technologists, and data scientists
- a technology provider,
CloudQuant began as an internal trading tool for traders with extraordinary trading ideas to be able to explore quantitative trading with the evolution of data science. The technology behind our innovative approach to incubating trading strategies began as an internal system and has been proven through daily use within the Kershner Trading Group. Kershner’s experience as a trading firm focused every day on the work of operating and executing profitable quantitative trading strategies provided the trading and technology expertise to design a platform that enables researchers to go from idea to production implementation in a matter of hours.
CloudQuant’s mission is to provide you with tools to develop and prove your trading strategies. We then license your strategy from you. Once licensed we assign capital from our funds to your strategy. Our professional traders, risk managers, and technologists oversee the running of the trading strategy.
When a client’s trading strategy makes money the client will be paid. Loses are the responsibility of CloudQuant.The thoughts and opinions on this site do not represent investment recommendations by CloudQuant or our clients. Securities, charts, illustrations and other information contained herein are provided to assist crowd researchers in their efforts to develop algorithmic trading strategies for backtesting on CloudQuant.
