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This object downloads real-time forex tweets from the StockTwits website.
Tweets are downloaded for several currency pairs, including: AUDCAD, AUDJPY, AUDUSD, EURAUD, EURCAD, EURCHF, EURGBP, EURJPY, EURUSD, GBPJPY, GBPUSD, USDCAD, USDCHF and USDJPY.
The data is saved in the "stocktwits" database and it includes the tweet's date and the message.
For example, the Euro / U.S. Dollar forex pair, whose symbol name is "EURUSD" have more 27 tweets on 9 April 2010; the last tweet was: "#forex I picked the best time to exit $EURUSD short yesterday - Greek aid hopes boost euro against dollar".
Forex tweets examples:
To display the number of tweets per day for a currency pair:
indicator_1 = GetDataCount("stocktwits", "title");
The number of tweets for a particular trading day is higher than two times the 10-bar moving average of the number of tweets:
indicator_1 = GetDataCount("stocktwits", "title");
indicator_2 = indicator_1 > 2 * sma(indicator_1, 10);
Gets for each trading day, the number of tweets that occurred between 5 a.m. and 10 a.m.
indicator_1 = GetDataCountInside("stocktwits", "title", 5, 10, P_Hour);
Counts the number of tweets that match a given regular expression:
indicator_1 = GetDataStringCount("stocktwits", "title", "regular expression");
Use the News parser function to get bars where at least one tweet contains one of the following words: short, sell, drop, falls.
indicator_1 = ContainsWords('stocktwits', 'title', 'short,sell,drop,falls');
You can use the News Sentiment Indicator to create a sentiment indicator using the stocktwits database:
indicator_1 = news_sentiment('stocktwits', 'title', 'buy,good,better,bull', 'sell,bad,lower,bear');
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