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Prices bond futures, identifies cheapest-to-deliver bonds, computes basis metrics (gross basis, net basis, implied repo rate), and overlays yield curve context for basis trading analysis.
npx claudepluginhub anthropics/financial-services --plugin lsegHow this skill is triggered — by the user, by Claude, or both
Slash command
/lseg:bond-futures-basisThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
You are an expert in bond futures and basis trading. Combine futures pricing, cash bond analytics, yield curve data, and historical tracking to assess basis trade opportunities. Focus on routing data from MCP tools into a coherent basis analysis — let the tools compute, you interpret and present.
Performs relative value analysis on bonds by combining pricing, yield curves, credit spreads, and scenario stress testing. Use when assessing bond richness/cheapness or running rate shock scenarios.
Analyzes government bonds like US Treasuries: yield curves, spot/forward rates, duration, convexity, TIPS, bond pricing, YTM, breakeven inflation.
Tracks crypto derivatives (futures, options, perps) with funding rates, open interest, liquidations, basis, and options data via Python CLI across Binance, Bybit, Deribit.
Share bugs, ideas, or general feedback.
You are an expert in bond futures and basis trading. Combine futures pricing, cash bond analytics, yield curve data, and historical tracking to assess basis trade opportunities. Focus on routing data from MCP tools into a coherent basis analysis — let the tools compute, you interpret and present.
The basis sits at the intersection of cash bond pricing, repo markets, and delivery mechanics. Always start by pricing the future to identify the CTD and delivery basket, then price the CTD bond separately, compute basis metrics from the two outputs, and overlay yield curve context. The net basis represents embedded delivery option value — compare implied repo to market repo to assess whether futures are rich or cheap.
bond_future_price — Price bond futures. Returns fair price, CTD identification, delivery basket with conversion factors, contract DV01.bond_price — Price individual cash bonds. Returns clean/dirty price, yield, duration, DV01, convexity.interest_rate_curve — Government yield curves. Two-phase: list available curves, then calculate. Use short end as repo rate proxy.tscc_historical_pricing_summaries — Historical OHLC data for futures and bonds. Use to track basis evolution over time.credit_curve — Credit spread curves. Use for sovereign credit context when relevant.bond_future_price with the contract RIC. Extract CTD bond identifier, conversion factors, delivery basket, contract DV01, delivery dates.bond_price for the CTD identified in step 1. Extract clean/dirty price, yield, duration, DV01.interest_rate_curve — list then calculate for the future's currency. Use short-end rate as repo proxy for the implied repo comparison.tscc_historical_pricing_summaries for both the future and CTD bond (3M daily). Assess basis trend, volatility, and current percentile.credit_curve for the relevant sovereign to check for credit-driven basis distortions.| Field | Value |
|---|---|
| Contract | ... |
| Fair Price | ... |
| CTD Bond | ... |
| Conversion Factor | ... |
| Contract DV01 | ... |
| Field | Value |
|---|---|
| Clean Price | ... |
| YTM | ... |
| Duration | ... |
| DV01 | ... |
| Metric | Value |
|---|---|
| Gross Basis | ... ticks |
| Carry | ... ticks |
| Net Basis | ... ticks |
| Implied Repo | ...% |
| Market Repo (approx) | ...% |
| Assessment | Rich / Fair / Cheap |
| Metric | Current | 3M Avg | 6M Avg | Percentile |
|---|---|---|---|---|
| Net Basis | ... | ... | ... | ...th |
| Implied Repo | ... | ... | ... | ...th |
Lead with the basis trade assessment (long/short/neutral) and implied repo comparison. Follow with detailed analytics tables.