AI-Driven Binary Options Trading Robot
Budget: £20 – £250 GBP
I'm seeking a skilled developer who can create a sophisticated auto trading robot. The project involves designing a user-friendly interface with the following features:
- Real-time trade execution: The user interface should be able to execute trades instantly as per the strategy.
- Adjustable trading parameters: I need the ability to adjust trading parameters within the interface.
- Historical trade data analysis: The interface must incorporate a feature allowing for the analysis of past trades.
The core of the project is the integration of AI, neural networks, and machine learning. The developer must:
- Develop predictive trading models: The AI should be able to predict market movements.
- Identify patterns and trends in market data: The robot should spot trends and patterns in historical data.
- Optimize trade execution: It should utilize historical data to enhance trading decisions.
- Train neural network model: The project requires building and training a neural network to improve trading strategies.
Another key aspect is the money management component. The developer should:
- Set risk tolerance levels: The robot will need to adhere to specified risk limits.
- Implement stop-loss and take-profit orders: It should automatically set these orders to minimize losses and lock in profits.
- Calculate position sizes based on account balance: The robot should determine the appropriate position sizes based on the account balance.
Additionally, I am looking for the incorporation of a 4-steps martingale strategy for money management. The system should aim for maximum profit and be able to calculate the maximum loss.
Ideal skills and experience for this project include a strong background in algorithmic trading, AI, neural networks, machine learning, and experience in developing trading robots. The ability to create a user-friendly interface is crucial.
- Real-time trade execution: The user interface should be able to execute trades instantly as per the strategy.
- Adjustable trading parameters: I need the ability to adjust trading parameters within the interface.
- Historical trade data analysis: The interface must incorporate a feature allowing for the analysis of past trades.
The core of the project is the integration of AI, neural networks, and machine learning. The developer must:
- Develop predictive trading models: The AI should be able to predict market movements.
- Identify patterns and trends in market data: The robot should spot trends and patterns in historical data.
- Optimize trade execution: It should utilize historical data to enhance trading decisions.
- Train neural network model: The project requires building and training a neural network to improve trading strategies.
Another key aspect is the money management component. The developer should:
- Set risk tolerance levels: The robot will need to adhere to specified risk limits.
- Implement stop-loss and take-profit orders: It should automatically set these orders to minimize losses and lock in profits.
- Calculate position sizes based on account balance: The robot should determine the appropriate position sizes based on the account balance.
Additionally, I am looking for the incorporation of a 4-steps martingale strategy for money management. The system should aim for maximum profit and be able to calculate the maximum loss.
Ideal skills and experience for this project include a strong background in algorithmic trading, AI, neural networks, machine learning, and experience in developing trading robots. The ability to create a user-friendly interface is crucial.