ruflo-neural-trader
PackCommerce & financeruflo-neural-trader is a plugin that gives an AI agent machine-learning trading strategy models. The models use LSTM, Transformer, and N-BEATS architectures to learn market patterns, and a Rust/NAPI backtesting engine tests strategies against past price data before they are used.
Unavailable. Delivery for this kind is on the roadmap — not serving yet.
Have an AI agent setup that supports plugins.
What your AI can do with it
- Runs self-learning LSTM models for trading strategies
- Uses Transformer models to learn market patterns
- Applies N-BEATS models to price data
- Backtests strategies against historical price data with a Rust/NAPI engine
- Lets an agent develop and test trading strategies on its own
Getting started
- Have an AI agent setup that supports plugins.
- Add the ruflo-neural-trader plugin to it.
- Provide the market or price data you want the models to learn from.
- Ask the agent to build a strategy and backtest it against past price data.
Signals
- GitHub stars
- 73k
- Forks
- 9k
- Last commit
- Sep 2026
Questions
- What does this plugin do?
- It gives your agent machine-learning trading strategy models that learn market patterns and test them against past price data.
- What model types does it use?
- It uses self-learning LSTM, Transformer, and N-BEATS models.
- How are strategies tested?
- Strategies are backtested against past price data using a Rust/NAPI backtesting engine.
- Does it guarantee profitable trades?
- No. It provides models and backtesting against historical data; nothing in it guarantees future results.
Advanced
- Item type
- plugin
- Key
ruvnet-ruflo-ruflo-neural-trader- Source
- github.com/ruvnet/ruflo