用matlab编一段多层LSTM代码用于股票预测

好的，我可以回答这个问题。以下是一段用 MATLAB 编写的多层 LSTM 代码，用于股票预测：

% 导入数据
data = xlsread('stock_data.xlsx');
train_data = data(1:200,:);
test_data = data(201:end,:);

% 数据预处理
train_data = normalize(train_data);
test_data = normalize(test_data);

% 定义 LSTM 模型
num_features = size(train_data,2);
num_hidden_units = 128;
num_layers = 2;
dropout_rate = .2;
output_size = 1;

layers = [ ...
sequenceInputLayer(num_features)
lstmLayer(num_hidden_units,'OutputMode','sequence')
dropoutLayer(dropout_rate)
lstmLayer(num_hidden_units,'OutputMode','sequence')
dropoutLayer(dropout_rate)
fullyConnectedLayer(output_size)
regressionLayer];

% 训练 LSTM 模型
options = trainingOptions('adam', ...
'MaxEpochs',100, ...
'MiniBatchSize',64, ...
'ValidationData',{test_data(:,1:end-1),test_data(:,end)}, ...
'ValidationFrequency',10, ...
'Verbose',false);

net = trainNetwork(train_data(:,1:end-1),train_data(:,end),layers,options);

% 预测未来股票价格
future_data = data(end-99:end,:);
future_data = normalize(future_data);

for i = 1:30
future_price = predict(net,future_data(end,:));
future_data = [future_data;[future_data(end,2:end),future_price]];
end

% 可视化预测结果
figure
plot(data(:,end),'b')
hold on
plot(201:230,future_data(101:end,end),'r')
legend('真实价格','预测价格')
xlabel('时间')
ylabel('股票价格')
title('股票价格预测')