CHICAGO, May 27, 2021 — SpiderRock Gateway Technologies and CloudQuant (CQ) prove that access to large, complex, point-in-time historical data doesn’t have to be difficult. SpiderRock launched the Liberator API service which allows clients to skip the complex data onboarding process and simply use Microsoft Excel(™) or common programming languages to access data with one […]
Trading Technologies and CloudQuant Launch Strategic Partnership to Explore Creation of Alternative Data Offering
$TSLA Skyrocketed Ahead of Stock Split
Shown in the spikes in the acceleration of change of volatility spread.
The Futures Industry Association (FIA) held their 34th Annual FIA Expo conference at the Hilton Chicago last week bringing together capital markets influencers, regulators and innovators to discuss some of the most pressing matters facing the industry.
Jeff Holden develops algo trading models at SMB Capital in New York. He utilizes CloudQuant extensively during his research and development process. In this video he details his process for developing an idea into a model.
In video two of SMB’s new Quant series Paul Tunney discusses why you should use CloudQuant to develop an algorithmic trading model.
Baidu launches a simple AI training platform, simplification is the future, our new offering Cloudquant.AI will make it easier than ever for Data Scientists and Traders to identify/create profitable indicators and utilize or share them for profit. Detecting DeepFake to Thanos to Everyone Can Dance, how AI and ML are making it difficult to believe your eyes. Predicting Popularity of The New York Times Comments with effective use of a python sentiment library. Hardware Stocks to Outperform the Market, can you do better on CloudQuant? Finally, how to approach speech recognition in languages with fewer native speakers, Facebooks method vs an individual Data Scientist.
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.
Trevor Trinkino presents the final part of his three-part Machine Learning webinar in co-operation with FXCM
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 […]