Claude
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fbd9d692f2
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feat(examples): add advanced and exotic neural-trader examples
Advanced examples (production-grade):
- live-broker-alpaca.js: Production broker integration with smart order routing
- order-book-microstructure.js: VPIN, Kyle's Lambda, spread decomposition
- conformal-prediction.js: Distribution-free guaranteed prediction intervals
Exotic examples (cutting-edge techniques):
- multi-agent-swarm.js: Distributed trading with consensus mechanisms
- gnn-correlation-network.js: Graph neural network correlation analysis
- attention-regime-detection.js: Transformer attention for regime detection
- reinforcement-learning-agent.js: Deep Q-Learning trading agent
- quantum-portfolio-optimization.js: QAOA and quantum annealing
- hyperbolic-embeddings.js: Poincaré disk market embeddings
- atomic-arbitrage.js: Cross-exchange atomic arbitrage with MEV protection
Updated package.json with npm scripts for all new examples.
Updated README.md with documentation for advanced/exotic techniques.
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2025-12-31 02:39:28 +00:00 |
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Claude
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84538b082a
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feat(examples): add comprehensive neural-trader integration examples
Add complete integration examples for all 20+ @neural-trader npm packages
with the RuVector platform:
Core Integration:
- basic-integration.js: HNSW vector indexing with trading operations
- hnsw-vector-search.js: Pattern matching with 150x faster native search
- technical-indicators.js: 150+ indicators (RSI, MACD, Bollinger, etc.)
Strategy & Portfolio:
- backtesting.js: Walk-forward optimization, Monte Carlo simulation
- optimization.js: Markowitz, Risk Parity, Black-Litterman portfolios
Neural Networks:
- training.js: LSTM training for price prediction with RuVector storage
Risk Management:
- risk-metrics.js: VaR, CVaR, stress testing, position limits
MCP Integration:
- mcp-server.js: 87+ trading tools via Model Context Protocol
Accounting:
- crypto-tax.js: FIFO/LIFO/HIFO cost basis with native Rust bindings
Specialized Markets:
- sports-betting.js: Arbitrage detection, Kelly criterion sizing
- prediction-markets.js: Polymarket/Kalshi expected value analysis
- news-trading.js: Sentiment-driven event trading
Full Platform:
- platform.js: Complete trading system integration demo
Packages integrated:
- neural-trader@2.7.1 (core engine, 178 NAPI functions)
- @neural-trader/core, strategies, execution, portfolio, risk
- @neural-trader/neural, features, backtesting, market-data
- @neural-trader/mcp, brokers, predictor, backend
- @neural-trader/agentic-accounting-rust-core
- @neural-trader/sports-betting, prediction-markets, news-trading
- @ruvector/core for HNSW vector database
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2025-12-31 02:15:02 +00:00 |
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