Table 1 Descriptions of technical indicators employed in previous research.

From: Deep-learning-based stock market prediction incorporating ESG sentiment and technical indicators

Indicator

Description

Simple Moving Average

(SMA)

Provides a smoothing effect on price data over a designated time frame

Exponential Moving Average

(EMA)

Provides a smoother perspective of price trends, emphasizing recent data

Chaikin Accumulation/Distribution Line

(AD)

Measures cumulative buying and selling pressure for predicting price trends

Average Directional Movement Index

(ADX)

Mean directional movement indicator

Kaufman Adaptive Moving Average

(KAMA)

Adapts to changing market conditions, aiding in identifying optimal entry and exit points

Moving Average Convergence/Divergence (MACD)

Convergence and divergence of moving averages

Relative Strength Index

(RSI)

Evaluates asset’s overbought or oversold conditions, guiding potential reversals

Parabolic Stop and Reverse

(PSAR)

Offers dynamic stop-loss levels, crucial for risk management

Momentum

(MOM)

Measure the rate of change

Rate of Change

(ROC)

Measure the percentage change in price from a previous period to the current period

Signal

Provide partial visual smoothing of technical indicators and detect trend reversals and crossovers

Stochastic RSI

Combination of the RSI and Stochastic indicator

Stochastic Oscillator

Relative position of prices over a given period