CloudQuantFinTech Innovators Partner to Turn NLP into Dollars Chicago, Illinois, and San Francisco, California USA, December 21, 2020 – Vectorspace AI in partnership with CloudQuant announce the availability of novel datasets that reveal relationships between global equity products. Vectorspace AI datasets are designed to boost precision, accuracy, signal or alpha based on Natural Language Processing […]
$TSLA Skyrocketed Ahead of Stock Split
Shown in the spikes in the acceleration of change of volatility spread.
Short-selling opportunities exist using ESG Alternative Data
In January, Morgan Slade participated in a Panel Discussion for Quantitative Fund Managers and how they are adapting their model.
In these times of market turmoil and volatility, the Kershner Trading Group stands ready to provide traders with a firm built on a strong foundation of significant capital investment, innovation-focused trading technology and decades of experience in the active and proprietary trading space.
Kershner Trading is actively seeking experienced US Equities Traders
CloudQuant will be participating in the Peltz International seminar Meet the Niche Manager on January 26, 2018 in New York.
Moderated by Jessica Titlebaum Darmoni from the Title Connection, Slade was joined by Brian Peterson, Algorithmic Trading Lead at DV Trading, Inderdeep Singh from CME Group’s Innovation Lab and Matthew Dixon, Assistant Professor of Finance and Statistics at Illinois Institute of Technology.
Trevor Trinkino, a quantitative analysts and trader at Kershner Trading Group recently put together an introduction to Machine Learning utilizing CloudQuant and Jupyter Notebooks. In this video he walks you through a high-level process for implementing machine learning into a trading algorithm, …
“Chart pattern trading is a style that is more suitable for recreational trading rather than professional. This is one reason it was never considered seriously by the majority of hedge funds. In addition to requiring patience, slow chart pattern formations offer enough time for detection and competition is high at diminishing returns.”
Join us at the NY MarketsWiki Education to hear Morgan Slade’s thoughts on the The Algorithmic Trading Tesseract brings cloud computing, alternative data, machine learning, and crowd researchers together forming a revolutionary crowd in the financial industry.