A long-short portfolio outperforms the equal-weight S&P 500 ETF by 37.9%/year (after transaction costs) using Precision Alpha Alternative Data. Over 91.5% of the total return is pure alpha.
CloudQuant CEO John Morgan Slade will be taking part in THE TRADING SHOW – CHICAGO 2019 on Wednesday 8th May 2019. At 13:20 (Central) he will be partaking in a Panel to discuss “Deep Neural Networks – how supervised do deep learning machines need to be?” At 14:00 (Central) He will be moderating a discussion […]
CloudQuant LLC today announced the addition of RavenPack analytics within their trading strategy incubator. Crowd researchers can now use RavenPack historical data to discover tradable alpha signals on CloudQuant’s online Python and JupyterLab-based tools.
News covering: Social Market Analytics Sentiment Data for Forex; The Mosaic Effect with Big Data and AltData; Success as a Data Scientist; Data Ops Workbench; Turkish Volatility Showed Value of Alt Data
The financial sector is making a massive shift towards machine intelligence in capital markets. This panel shares their experience in using data science and domain expertise in understanding data context.
On May 15th Trevor Trinkino presented part two of a three-part Machine Learning webinar with FXCM. Part one is here. Part 2 – Preprocess data for Random Forest. PnL and prediciton improvements… In part two Trevor goes over how to clean and pre-process data from CloudQuant to use in a Random Forest Classifier. He then looks at the […]
“It’s exciting to see the growing number of women in Science, Technology, Engineering and Math (STEM); my advice is to not be afraid to jump in headfirst,” said Sarah Leonard, graduate student at the University of Chicago. “It is a difficult field but also lucrative and rapidly growing.”
Leonard sat down with CloudQuant to talk about her experiences in data science, her insight as a female in a male dominated world, and the intensive process it took to find her dream job.
April 24, 2018, Top finance professionals who will share their latest research and experience with Ravenpack big data and machine learning in London.
… While budgets may be tight we believe that innovators always find a way. Look for innovation to happen outside of mainstream information technology. Almost everyone trading today has some technology skills. It may be as simple as someone with an Excel spreadsheet macro, or a data scientists with a Jupyter Notebook. …
CloudQuant Thoughts: 80% of trading is being handled by robots? We know that 100% of trades are touched by automation these days. If it isn’t in the actual order processing then it is in the clearing process, the risk process, or the account management process. When someone using a retail broker’s website sees their portfolio there is added information that is presented. Almost all of that is touched by automation with some form of a “robot” or AI process.