Trader Train
Skill ActiveTrain neural models (LSTM, Transformer, N-BEATS) on market data using npx neural-trader with confidence intervals
To empower users to train and evaluate advanced neural network models for market data analysis and prediction using a specialized tool.
Features
- Train LSTM, Transformer, and N-BEATS models
- Use market data for training
- Generate predictions with confidence intervals
- Compare model performance
- Store and process model outcomes
Use Cases
- When needing to build predictive models for financial markets.
- When evaluating the performance of different neural network architectures on time-series data.
- When generating trading signals based on model predictions.
Non-Goals
- Providing a general-purpose machine learning framework.
- Executing trades based on model predictions.
- Real-time market data ingestion beyond what `neural-trader` supports.
Trust
- warning:Issues AttentionThe ratio of open to closed issues in the last 90 days suggests maintainer engagement could be improved, with a higher proportion of open issues.
Installation
First, add the marketplace
/plugin marketplace add ruvnet/ruflo/plugin install ruflo-neural-trader@rufloQuality Score
Trust Signals
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