Here are some popular AI tools for generating trading signals:
1. _TensorFlow_: An open-source machine learning library for building and training AI models.
2. _PyTorch_: A machine learning framework for building and training AI models, particularly suitable for time-series forecasting.
3. _Scikit-learn_: A machine learning library for Python, providing various algorithms for classification, regression, and clustering.
4. _Keras_: A high-level neural networks API for building and training deep learning models.
5. _Google Cloud AI Platform_: A managed platform for building, deploying, and managing machine learning models.
6. _Microsoft Azure Machine Learning_: A cloud-based platform for building, training, and deploying machine learning models.
7. _IBM Watson Studio_: A cloud-based platform for building, training, and deploying AI models.
8. _Alpaca_: A commission-free trading platform offering AI-powered trading signals and APIs.
9. _TradingView_: A social trading platform providing AI-powered trading signals and technical analysis tools.
10. _QuantConnect_: An open-source, cloud-based backtesting and trading platform for algorithmic trading strategies.
11. _Zipline_: A Python library for backtesting and executing algorithmic trading strategies.
12. _Backtrader_: A popular backtesting and trading framework for Python.
13. _Catalyst_: A high-performance, open-source backtesting and trading framework for Python.
14. _Gekko_: A Python library for backtesting and executing algorithmic trading strategies.
15. _Freqtrade_: A Python library for building and executing algorithmic trading strategies.
Please note that this is not an exhaustive list, and new tools are emerging as AI technology advances.
