In this video I give examples of ways to study the relationship between social sentiment, analyst recommendations, and subsequent returns using Financial Modeling Prep's API. This methodology may be used to optimize trading strategies by decreasing portfolio turnover, inform entry/exit, etc. Check out the accompanying article: https://medium.com/quant-guild/stocktwits-social-sentiment-and-financial-analyst-recommendations-f12ba79c9861 Check out FMP's API https://intelligence.financialmodelingprep.com/pricing-plans?couponCode=roman&utm_source=youtube&utm_medium=video&utm_campaign=romanYT Save 50% on courses using code: QGYOUTUBE https://quantguild.com We're getting started on Discord! Join the Quant Guild Discord server here https://discord.com/invite/MJ4FU2c6c3 See my paper: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4427860 Articles and code walkthroughs can be found on our blog https://medium.com/quant-guild https://romanmichaelpaolucci.medium.com/ For more free tutorials and references see our GitHub https://github.com/RomanMichaelPaolucci https://github.com/Quant-Guild

StockTwitsSocialSentimentAnalystRecommendationsInformAlgorithmicTradingStrategies