Skyrocket Neural Network + Price Action EA – Neural Networks – 26 November 2023

import tensorflow as tf

from tensorflow.keras.models import Sequential

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

from sklearn.preprocessing import MinMaxScaler

import numpy as np

# Load and preprocess data

# …

# Build the 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(Dense(25))

model.add(Dense(1))

# Compile the model

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

# Train the model

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

# Make predictions using the neural network

predictions = model.predict(X_test)

predictions = scaler.inverse_transform(predictions)

# Apply Price Action strategy

# …

# Pseudocode example for implementing the Price Action strategy

def apply_price_action_strategy(data):

    # Price Action strategy logic

    # …

# Integrate the strategy with predictions

combined_strategy = apply_price_action_strategy(predictions)

Conclusion:

Skyrocket is a trading expert that successfully combines the Price Action strategy with neural networks, avoiding overfitting and ensuring stability in the dynamics of financial markets. The combination of precise Price Action analysis and the flexibility of neural network learning makes Skyrocket a powerful tool for traders seeking effective portfolio management.