implementations

crypto/gogo/model/trading_model.py

@@ -0,0 +1,17 @@
+# model/trading_model.py
+import torch
+import torch.nn as nn
+import torch.nn.functional as F
+
+class TradingModel(nn.Module):
+    def __init__(self, input_dim, hidden_dim, output_dim):
+        super(TradingModel, self).__init__()
+        self.fc1 = nn.Linear(input_dim, hidden_dim)
+        self.fc2 = nn.Linear(hidden_dim, hidden_dim)
+        self.fc3 = nn.Linear(hidden_dim, output_dim)
+
+    def forward(self, x):
+        x = F.relu(self.fc1(x))
+        x = F.relu(self.fc2(x))
+        x = self.fc3(x)
+        return x