Datasets Library: Alternative Data, Fundamental Data, Trade Signals, Market Data

CQ Insight: Eyes Low NewLo Qualified as one of the top 50 stocks in Eyes Lows/Eyes Lows OTC rank report and is making a new low.rnrnThis historical data signal was developed by professional traders.
CQ Insight: Big Inside Offer Ask of at least 30,000 shares, Bid of 15,000 shares or less and stock has moved at least 25 cents today.rnThis historical data signal was developed by professional traders.
CQ Insight: ETF Move 25 cents Stock is ETF and has moved at least 1 point in the last two minutes.rnrnThis historical data signal was developed by professional traders.
Morningstar Monthly Earning Ratios AOR & Restated Earnings Ratios Earnings Ratios are used by investment professionals and the average investor to evaluate the performance of stocks. These ratios are calculated by Morningstar. Common ratios are P/E (Price/Earnings) and EPS (Earnings Per Share.)
Morningstar Monthly Earnings As Originally Reported (AOR) & Earnings Restatements The Monthly Earnings Reports contain information formally reported by each listed company to EDGAR (Electronic Data Gathering, Analysis, and Retrieval.) This is a public database from the U.S. Securities and Exchange Commission (SEC). EDGAR performs automated collection, validation, indexing, acceptance, and forwarding of submissions by companies and others who are required by law to file forms with the SEC.rnrnEGAR’s primary purpose is to increase the efficiency and fairness of the securities market by accelerating the receipt, acceptance, dissemination and analysis of time-sensitive corporate information filed with the SEC. A secondary purpose of EDGAR is to provide transparency in the marketplace by making documents that have been filed quickly available to investors over the Internet.rnrnCertain filings must be submitted electronically through EDGAR.Such filings, which can be looked up in Regulation S-T, will not be accepted in paper format unless they satisfy the requirements for a temporary or continuing hardship exemption. Other filings may be submitted electronically on E DGAR or by paper, at the option of the filer.
CQ Insight: 3 Run Up 1m Last three 3-minute bars have consecutively higher highs. Current price is above the 20-period exponential moving average.rnrnThis historical data signal was developed by professional traders.
CQ Insight: 3 Run Dn 1m Last three 3-minute bars have consecutively lower lows. Current price is below the 20-period exponential moving average.rnThis historical data signal was developed by professional traders.
CQ Insight: 1 Min Reversal Up Engulfing 1-minute bullish candle following greater than normal bearish candle.rnrnThis historical data signal was developed by professional traders.rnrnThis historical data signal was developed by professional traders.
CQ Insight: 1 Min Reversal Dn Engulfing 1-minute bearish candle following greater than a normal bullish candle. rnThis historical data signal was developed by professional traders.
SMA Twitter Social Sentiment Social Market Analytics Inc (SMA) provides sentiment data for the US stock markets using Twitter and Natural Language Processing. SMA computes S-Factors™ for the equities and ETFs in the CloudQuant symbol universe. In general, positive S-Score™ levels are associated with favorable market sentiment, while negative levels are unfavorable. rnFor each entity in SMA’s universe, our servers poll the Twitter and StockTwits APIs to capture Tweets about the entity observed during a time sample window. The collected Tweets are filtered for financial trading relevance and scored for market sentiment content. Then, the Tweet scores are aggregated to produce a sentiment measurement, at an observation time, for the entity implied from data observed during the sample window.
SMA StockTwits Sentiment Social Market Analytics Inc (SMA) provides sentiment data for the US stock markets using StockTwits and Natural Language Processing.rnSMA computes S-Factors™ for the equities and ETFs in the CloudQuant symbol universe. In general, positive S-Score™ levels are associated with favorable market sentiment, while negative levels are unfavorable. rnFor each entity in SMA’s universe, our servers poll the Twitter and StockTwits APIs to capture Tweets about the entity observed during a time sample window. The collected Tweets are filtered for financial trading relevance and scored for market sentiment content. Then, the Tweet scores are aggregated to produce a sentiment measurement, at an observation time, for the entity implied from data observed during the sample window.



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