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CloudQuant News

Blog

Intro to Machine Learning with CloudQuant and Jupyter Notebooks

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, ...
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CloudQuant Launches with Unprecedented Risk Capital Allocation to Crowd Researcher
CloudQuant Press Industry News

CloudQuant Launches with Unprecedented Risk Capital Allocation to Crowd Researcher

CloudQuant, the trading strategy incubator, has launched its crowd research platform by licensing and allocating risk capital to a trading algorithm. The algorithm licensor will receive a direct share of the strategy’s monthly net trading profits.
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Blog

Improving A Trading Strategy

TD Sequential is a technical indicator for stock trading developed by Thomas R. DeMark in the 1990s. It uses bar plot of stocks to generate trading signals. ... Several elements could be modified in this strategy. Whether to include the countdown stage, the choice of the number of bars in the setup stage and countdown stage, the parameters that help to decide when to exit and the size of the trade will affect strategy performance. In addition, we could use information other than price to decide whether the signal should be traded.
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A single source for

Data and Data Technology

CloudQuant is a Commercial Data Technology Company serving global financial services and corporate clients.

Find valuable data sources for your business to measure what you care about today, to predict tomorrow.

Integrate thousands of datasets in minutes to empower your data scientists, management consultants, investment researchers, executives, and engineers.

Access high-value datasets through one simple data fabric and full data tech stack. 

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CQ AI (Jupyter Lab)

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