longbridge-execution-model
Trade execution modelling framework (backtesting analysis only) via Longbridge — covers slippage models (linear / square-root market impact), VWAP/TWAP execution logic, market impact cost estimation (Kyle lambda), volume participation rate (POV) strategy. Helps quant traders build realistic execution assumptions in backtests. Triggers: "执行模型", "滑点模型", "VWAP执行", "TWAP执行", "市场冲击", "执行成本", "成交量参与率", "交易执行", "執行模型", "滑點模型", "VWAP執行", "TWAP執行", "市場冲擊", "執行成本", "交易執行", "execution model", "slippage model", "VWAP", "TWAP", "market impact", "execution cost", "volume participation rate", "Kyle lambda",
npx skills add majiayu000/claude-skill-registry --skill longbridge-execution-model --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# longbridge-execution-model Trade execution modelling framework for backtesting — slippage, VWAP/TWAP, market impact, and volume participation. > **Response language**: match the user's input language — Simplified Chinese / Traditional Chinese / English. ## When to use Trigger on prompts asking for: - Slippage or market impact modelling — *"帮我建一个滑点模型"*, *"square root market impact model"* - VWAP / TWAP execution strategy — *"VWAP执行逻辑"*, *"TWAP slice timing"* - Volume participation rate (POV) — *"成交量参与率策略"*, *"POV strategy"* - Kyle lambda or price impact estimation — *"Kyle lambda 估算"*, *"execution cost analysis"* > This skill is for **backtesting / analysis only** — no live order placement. ## Workflow 1. Identify the symbol and fetch intraday volume profile and tick data. 2. Compute average daily volume (ADV) and intraday volume curve. 3. Apply the requested execution model: - **Linear slippage**: `impact = k × (order_size / ADV)` - **Square-root impact**: `impact = σ × √(order_size / ADV)` - **Kyle lambda (λ)**: estimate from tick data as `ΔP / ΔQ` - **VWAP slice**: distribute order proportionally to historical volume curve - **TWAP slice**: divide order into equal time-weighted
- When to use
- Workflow
- CLI
- Output structure
- Error handling
- MCP fallback
- Related skills
- File layout
longbridge kline <SYMBOL> --period 1m --count 200 --format json Tick-by-tick trades — for Kyle lambda estimation longbridge trades <SYMBOL> --count 100 --format json
What does the longbridge-execution-model skill do?
Trade execution modelling framework (backtesting analysis only) via Longbridge — covers slippage models (linear / square-root market impact), VWAP/TWAP execution logic, market impact cost estimation (Kyle lambda), volume participation rate (POV) strategy. Helps quant traders build realistic execution assumptions in backtests. Triggers: "执行模型", "滑点模型", "VWAP执行", "TWAP执行", "市场冲击", "执行成本", "成交量参与率", "交易执行", "執行模型", "滑點模型", "VWAP執行", "TWAP執行", "市場冲擊", "執行成本", "交易執行", "execution model", "slippage model", "VWAP", "TWAP", "market impact", "execution cost", "volume participation rate", "Kyle lambda",
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill longbridge-execution-model --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.
