Forex Artificial Neural Network (ANN) python coder
Budget: £250 – £750 GBP
I am looking for someone to code in python an ANN script to work on FX pairs and auto execute in Alpaca or Interactive brokers. 5m to daily time frames.
-code a model to execute trades based on historical data.
-the model should be able to back test different variables using tick data supplied for each pair.
-need to be able to research existing models and modify or code from scratch
1.1 Import the Libraries- ...
1.2 Load the Dataset. ...
1.3 Split Dataset into X and Y. ...
1.4 Encode Categorical Data– ...
1.5 Split the X and Y Dataset into the Training set and Test set. ...
1.6 Perform Feature Scaling. ...
2. Build Artificial Neural Network
2. Build Artificial Neural Network
2.1 Import the Keras libraries and packages
2.2 Initialize the Artificial Neural Network
2.3 Add the input layer and the first hidden layer
2.4 Add the second hidden layer
2.5 Add the output layer
3. Train the ANN
3.1 Compile the ANN
3.2 Fit the ANN to the Training set
4. Predict the Test Set Results-
-code a model to execute trades based on historical data.
-the model should be able to back test different variables using tick data supplied for each pair.
-need to be able to research existing models and modify or code from scratch
1.1 Import the Libraries- ...
1.2 Load the Dataset. ...
1.3 Split Dataset into X and Y. ...
1.4 Encode Categorical Data– ...
1.5 Split the X and Y Dataset into the Training set and Test set. ...
1.6 Perform Feature Scaling. ...
2. Build Artificial Neural Network
2. Build Artificial Neural Network
2.1 Import the Keras libraries and packages
2.2 Initialize the Artificial Neural Network
2.3 Add the input layer and the first hidden layer
2.4 Add the second hidden layer
2.5 Add the output layer
3. Train the ANN
3.1 Compile the ANN
3.2 Fit the ANN to the Training set
4. Predict the Test Set Results-
Related categories:
Python
Software Architecture
Statistics
Machine Learning (ML)
R Programming Language