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DPP: Deep predictor for price movement from candlestick charts
2021
PLoS ONE
Forecasting the stock market prices is complicated and challenging since the price movement is affected by many factors such as releasing market news about earnings and profits, international and domestic economic situation, political events, monetary policy, major abrupt affairs, etc. In this work, a novel framework: deep predictor for price movement (DPP) using candlestick charts in the stock historical data is proposed. This framework comprises three steps: 1. decomposing a given candlestick
doi:10.1371/journal.pone.0252404
pmid:34153042
fatcat:44mdimvaqjfkhp7pltllnognve