Trading Technologies and CloudQuant Launch Strategic Partnership to Explore Creation of Alternative Data Offering
Tag: Data Sets
Short-selling opportunities exist using ESG Alternative Data
CloudQuant LLC has proven the value in the G&S Quotient Environmental, Social, and Governance (ESG) alternative dataset. The detailed data science study shows a long-short portfolio with a five-day or twenty-day position holding period produces an investment strategy with single year Sharpe Ratios as high as 2.046 and Alphas as high as 5.24%. The study shows that the dataset is highly distinct from other standard and so-called “smart-beta” factors.
CloudQuant’s CEO recently discussed the addition of RavenPack analytics to our trading strategy incubator with Fintech Capital Markets at the Battle of the Quants conference in London.
* Alpha Signal Studies
* Professional level technology for the crowd to compete with Wall Street
* Bitemporal data access for historical data
* Alternative Data
What effect can alternative data sets have on trading algorithms? We asked a few of our teammates and systematic traders what the effect of alternative data sets is on trading algos. We thought we could spread some insight as to why our alternative data is so valuable the also developers. We all start using the […]
Backtesting Trading Strategies
If you knew your trading strategy would work 50% of the time, would you commit your scarce savings to trade it? What if it worked 75% of the time? Backtesting gives one the confidence to know that your trading strategy will work.
CloudQuant’s CEO was interviewed by Anthony Crudele of Futures Radios show to discuss topic including Artificial Intelligence, Machine Learning, and Deep Learning applied to algorithmic trading. Alternative datasets are a major topic of discussion. People are saying that data is being created faster than ever before. That really isn’t true. What is really happening is that data is being captured and stored at a faster rate than ever before. Vendors are now making AltData available for traders to change the way that they interact with the markets. This applies to futures and stocks with the popularity of Deep Learning in algorithmic trading strategy development.
CloudQuant will be participating in the Newsweek conference on Artificial Intelligence and Data Science for the Capital Markets Industry on December 5th to December 7th, 2017 in New York.
Cloud computing and access to industrial grade investment and data science tools are changing the playing field for quantitative trading firms. CloudQuant’s CEO Morgan Slade participated in a panel at Stocktoberfest West in October 2017. This has raised the discussion of quantamental investment and data science techniques. This is the merger of technology, investment management, and data science.
An interview by Anthony Crudele of Futures Radio Show discussing the success of the Trading Strategy Incubator, crowd researching, and algorithmic trading.