How it is applied in stock trading
Neural networks determine the level of risk of each trade and the size of the position to be opened in order to minimize potential losses. Also, neural networks can be used to select the position of stop loss and take profit limit orders.
Determining the moment of closing a position
Neural networks help determine the moment to close a position based on price, support, resistance, indicator data, oscillators, and future trend forecasts.
Neural networks analyze news and social media to determine how they affect the price of assets. Thanks to this data, the investor builds an investment strategy.
Price prediction based on trading history
The neural network estimates the value and volume of trades for past periods, and based on this information, predicts future price trends. In addition to analyzing price trends, the neural network analyzes the trends of indicators and oscillators. For example, moving average crossover and RSI index.