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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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| basic-integration.js | ||
| hnsw-vector-search.js | ||
| technical-indicators.js | ||