Create an AI Trading Bot for Bybit with 97% Accuracy Using Python in Google Colab -- 3
Budget: $30 – $250 USD
I am looking for an experienced developer to create an AI trading bot for automatic trading on the Bybit platform. The project involves:
1. Market Data Collection:
Collecting market data (prices, volumes, etc.) using free APIs or other available sources.
Integrating the Bybit API for executing buy/sell trades.
2. AI Indicator Creation:
Using any popular AI/ML library in Python (e.g., TensorFlow, Keras, scikit-learn, etc.) to train a model.
The model should analyze market data and make buy/sell decisions based on signals generated by the AI.
The required accuracy should be 97% in predicting market direction (buy/sell).
3. Trade Automation:
Creating a mechanism that will automatically execute trades on Bybit based on signals generated by the AI.
The bot should open a position if the AI indicator signals "buy" and close it when the indicator signals "sell".
4. Monitoring and Optimization:
The system should be tested on historical data, with at least 97% accuracy.
The system should be capable of operating live, adapting to market changes, and maintaining high prediction accuracy.
5. Security and Stability:
It's important that the system operates securely and stably on the Bybit platform to avoid unnecessary losses.
The code should be optimized, reliable, and error-resistant.
Requirements:
Experience in Python programming, especially in AI and ML.
Experience working with Bybit API.
Knowledge of the cryptocurrency market and trading strategies.
Ability to create trading systems with high accuracy.
Experience in testing models on historical data and optimizing algorithms.
Budget:
Initial payment: $30 for the creation and deployment of the prototype.
An additional $250 after successful verification when the system achieves 97% accuracy and operates correctly in live trading.
Notes:
Once the project is completed, I want the system to be stable, easy to monitor, and editable.
Please provide examples of past projects where AI was used for automated trading.
It is crucial that the project is ready for live testing on the Bybit platform.
1. Market Data Collection:
Collecting market data (prices, volumes, etc.) using free APIs or other available sources.
Integrating the Bybit API for executing buy/sell trades.
2. AI Indicator Creation:
Using any popular AI/ML library in Python (e.g., TensorFlow, Keras, scikit-learn, etc.) to train a model.
The model should analyze market data and make buy/sell decisions based on signals generated by the AI.
The required accuracy should be 97% in predicting market direction (buy/sell).
3. Trade Automation:
Creating a mechanism that will automatically execute trades on Bybit based on signals generated by the AI.
The bot should open a position if the AI indicator signals "buy" and close it when the indicator signals "sell".
4. Monitoring and Optimization:
The system should be tested on historical data, with at least 97% accuracy.
The system should be capable of operating live, adapting to market changes, and maintaining high prediction accuracy.
5. Security and Stability:
It's important that the system operates securely and stably on the Bybit platform to avoid unnecessary losses.
The code should be optimized, reliable, and error-resistant.
Requirements:
Experience in Python programming, especially in AI and ML.
Experience working with Bybit API.
Knowledge of the cryptocurrency market and trading strategies.
Ability to create trading systems with high accuracy.
Experience in testing models on historical data and optimizing algorithms.
Budget:
Initial payment: $30 for the creation and deployment of the prototype.
An additional $250 after successful verification when the system achieves 97% accuracy and operates correctly in live trading.
Notes:
Once the project is completed, I want the system to be stable, easy to monitor, and editable.
Please provide examples of past projects where AI was used for automated trading.
It is crucial that the project is ready for live testing on the Bybit platform.