rate-cycle

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Interest rate cycle analysis, Fed policy analysis, yield curve dynamics, duration management, central bank rate trajectory, monetary tightening easing, bond market analysis, rate forecast, forward curve, dot plot interpretation, rate hike cut cycle

AI & Automation 204 stars 16 forks Updated today Apache-2.0

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Skill Content

## Defaults | Parameter | Default Value | Rationale | |-----------|---------------|-----------| | lookback_quarters | 8 | Captures full rate cycle from hiking to cutting | | key_indicators | fed_funds, 2s10s_spread, dot_plot, inflation_breakevens | Core rate cycle indicators | ## Preflight Run canonical pre-flight per `contracts/preflight.md`. Propagate X-Agentii-Trace per `contracts/x-agentii-trace-header.md`. ## Data Source Priority 1. Knowledge entries (L1 rate cycle frameworks) -> 2. search_by_analogue(market_regime: rate-shock) -> 3. Real-time data ## Methodology ### Retrieval Scope structured_only ### Retrieval Strategy Query knowledge entries for rate cycle frameworks; query search_by_analogue for historical rate cycles; supplement with real-time data. ### Temporal Scope See frontmatter temporal_scope block. ### Tool Allowlist See frontmatter allowed_tools. ### Protocol 1. Rate Cycle Phase — classify hiking/plateau/cutting/emergency 2. Yield Curve Analysis — 2s10s spread, 3m10y, breakeven inflation 3. Framework Application — Taylor Rule, duration management 4. Analogue Retrieval — past rate cycles matching current phase ## Output File `{ticker}/{YYYY-MM-DD_HHMM}_rate-cycle_{affix}.md` ## Output Structure 1. **Executive Summary** — key findings in 2-3 sentences 2. **Core Analysis** — applied frameworks with specific evidence 3. **Quantitative Indicators** — key metrics and benchmarks 4. **Historical Analogues** — matched cases with /v/cases/ citations 5. ...

Details

Author
agentii-ai
Repository
agentii-ai/agentii-investment-intelligence
Created
4 months ago
Last Updated
today
Language
Python
License
Apache-2.0

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