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cq_sma_indicators by CloudQuant

Dataset Name: cq_sma_indicators

Group: sentiment
Vendor: CloudQuant
Data Starts at: 2015-02-02 00:00:00
Symbol Set: US Equities
Asset Class: US Equities, ADRs,ETFs
Data Update Time(s): SOD Daily
Data Update Frequency: day

CloudQuant SMA Indicators Dataset

CloudQuant's Top Tier Research Team has taken premium sentiment signals and, using the latest AI techniques, created a Momentum/Reversion indicator for the top US Equity symbols.

These indicators can be easy added to a current model to influence your current trading decisions.

If you would like more information, please contact our sales department ( and we will be happy to supply a document detailing a simple demonstration of the efficacy of this Indicator Dataset.

How To Use This Indicator Dataset

The percentiles and indicators dataset contains the percentile ranking of each ticker mentioned on Twitter or Stocktwits for their S-Score and S-Buzz metrics from the SMA dataset.

It also contains a momentum indicator and a mean-reverting indicator.

The indicators can take values of -1 or +1, where +1 means a ticker would be bought in a momentum or mean-reverting strategy, and -1 means it would be sold.

The datasets include only the tickers that were mentioned on Twitter or StockTwits for a certain day. We limit our universe to stocks that were over $5 a share and $100mm market cap for that particular day

The timestamp column in this dataset refers to the day that the information came from, meaning that an entry for 2022-06-30 would be meant to be acted upon on 2022-07-01.

Important Dataset Notes

This dataset is not available for direct online purchase. Please contact sales directly at The data is available through our normal sales department who can provide you with current pricing and a quote for accessing this valuable dataset. This may be due to a number of reasons such as dataset intended use, size of the company (or investment fund) using the dataset, or for simple legal requirements that CloudQuant needs to ensure are in place prior to licensing the dataset to you.