Use a similar method to predict the price of the $BTC contract:

Model prediction for today: Date (Hong Kong time): 2024-01-29 Opening: 305.38 Highest: 311.98 Lowest: 299.17 Closing: 306.11 According to the test results, if you open a leverage of 20 times and go long at the predicted lowest price that day, your position will be liquidated The probability is only 1%. If you go short according to the highest price predicted for the day, the probability of liquidation is only 6%! ! !
Basic principles of LSTM
LSTM (Long Short-Term Memory Network) is a special type of recurrent neural network (RNN) designed to solve the vanishing or exploding gradient problem encountered by traditional RNNs when processing long sequence data. It controls the flow of information by introducing three gates (forgetting gate, input gate and output gate) and a memory unit, which enables LSTM to effectively save and access long-term dependent information. The structure of these gates gives LSTM the flexibility to add or forget information, thereby more effectively capturing long-term dependencies when processing sequential data such as text or time series.