Soaring Neural Network Price Action EA – Trading Strategy – December 7, 2023

adminDecember 8, 2023

Import tensorflow into tf

Sequential import from tensorflow.keras.models

Import Dense, Dropout, LSTM from tensorflow.keras.layers

Import MinMaxScaler from sklearn.preprocessing

Import numpy as np

# Data loading and preprocessing

#…

# Building a neural network

model = sequential()

model.add(LSTM(50, return_sequences=True, input_shape=(X_train.shape(1), 1)))

model.add(LSTM(50, return_sequences=False))

model.add(density(25))

model.add(density(1))

# Compile the model

model.compile(optimizer=”adam”, loss=”mean_squared_error”)

# model training

model.fit(X_train, y_train, batch_size=1, epoch=1)

# Prediction using neural network

prediction = model.predict(X_test)

prediction = scaler.inverse_transform(prediction)

# Apply price action strategy

#…

# Pseudocode example to implement a price action strategy

def apply_price_action_strategy(data):

# Price Action Strategy Logic

#…

# Integrate strategy with forecasting

combined_strategy = apply_price_action_strategy(prediction)

conclusion:

Skyrocket is a trading expert who successfully combines Price Action strategy and neural networks. Avoid overfitting Ensures the stability of financial market dynamics. Combining accurate price action analysis with the flexibility of neural network training, Skyrocket is a powerful tool for traders seeking effective portfolio management.

adminDecember 8, 2023