Data Sets

Data sets drive the quantitative researcher. Standard data sets, like historical market data, and alternative data sets, like social sentiment, allow the quant to search for trading signals in the data.

Posts

Backtest Research Life Cycle for Trading Strategies

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.
www.futuresradioshow.com

Futures Radio Show interviews Morgan Slade December 12, 2017

,
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.
Machine Learning, Quantitative Investing News

Industry News: Machine Learning and Artificial Intelligence for December 18, 2017

CloudQuant Thoughts: We really like the following quote in this article: “A huge part of financial services built technology in-house or used a small number of vendors and that old model is dying,” Whitcroft added. ‘Financial services is being componentisized.” This gets to the heart of new business models that include innovation and crowdsourcing. We have found that innovators, with atypical backgrounds and education, when given access to institutional grade tools and datasets can create something unique. There is significant value that can be derived. Our business model is proving this out daily.
Quantitative Strategy, Trading, and Algo Development Industry News

Industry News: Machine Learning and Artificial Intelligence for December 11, 2017

AI & ML news covering Hedge Funds, Career, Fraud Detection, Vineyards/Winemaking, Quanthouse, Apple, Quantitative Brokers, and more
Newsweek AI Data Science for Capital Markets

Newsweek Event: Artificial Intelligence and Data Science (December 5th to 7th, 2017)

,
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.
Quantamental alternative data

The Rise of Quants in Trading and Financial Markets

,
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.
World Market Access

Futures Radio Show from FIA Expo 2017

,
An interview by Anthony Crudele of Futures Radio Show discussing the success of the Trading Strategy Incubator, crowd researching, and algorithmic trading.
Crowdsourcing Algorithmic Research

CloudQuant at FIA Expo in Chicago: perfect storm for open source revolution in quant trading

,
The impact of machine learning and open source resources on quant trading could be described as explosive. At FIA Expo in Chicago, CloudQuant’s CEO Morgan Slade will be discussing how that’s translating into opportunity for a wider variety of participants.
Morgan Slade, Python Data Scientist and Trader

Quant Trading and Superpowers: Morgan Slade speaks on Opportunity

,
"You have a chance to try and change an industry" said Slade, CEO of CloudQuant at the MarketsWiki Education’s World of Opportunity event in New York.
CloudQuant the Trading Strategy Incubator

CloudQuant Launches with Unprecedented $15 Million Allocation to Crowd Researcher

,
CloudQuant, the trading strategy incubator, has launched its crowd research platform by licensing and allocating $15 Million (USD) to a trading algorithm. The algorithm licensor will receive a direct share of the strategy’s monthly net trading profits.