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Found 6 Skills
Market regime identification using volatility clustering, trend detection, and statistical methods for adaptive trading
Build trading systems in the style of Renaissance Technologies, the most successful quantitative hedge fund in history. Emphasizes statistical arbitrage, signal processing, and rigorous scientific methodology. Use when developing alpha research, signal extraction, or systematic trading strategies.
Use daily frequency data of natural gas and fertilizer prices to verify whether the narrative of "natural gas price surge → fertilizer supply constraints/breach of contract → fertilizer price surge" holds, and output key turning points and lead-lag analysis that can be marked on charts.
Detect current market regime using npx neural-trader — bull/bear/ranging/volatile classification with recommended strategy
Market regime detection and regime-specific trading strategies. Use when analyzing market conditions to select appropriate strategy.
Detect structural macro regime transitions (1-2 year horizon) using cross-asset ratio analysis. Analyze RSP/SPY concentration, yield curve, credit conditions, size factor, equity-bond relationship, and sector rotation to identify regime shifts between Concentration, Broadening, Contraction, Inflationary, and Transitional states. Run when user asks about macro regime, market regime change, structural rotation, or long-term market positioning.