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medici-investments-position-sizer-dvMedici 投资头寸调整器 dv

Agent Skill

medici-investments-position-sizer-dv 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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3,016

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下载量

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OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:medici-investments-position-sizer-dv(Medici 投资头寸调整器 dv)
来源仓库:https://github.com/clawdiri-ai/medici-investments-position-sizer-dv
安装命令:
openclaw skills install medici-investments-position-sizer-dv
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install medici-investments-position-sizer-dv

简介

计算多头股票交易的基于风险的头寸规模。当用户询问头寸规模、购买多少股票、每笔交易的风险、凯利准则等时使用

SKILL.md

id
medici-investments-position-sizer
name
medici-investments-position-sizer
description
Calculate risk-based position sizes for long stock trades. Use when user
version
1.0.0
author
DaVinci
last_amended_at
null
trigger_patterns
[]
pre_conditions
git_repo_required
false
tools_available
[]
expected_output_format
natural_language

Position Sizing Calculator

Overview

This skill calculates the optimal position size for a long stock trade based on a defined risk management framework. It ensures that no single trade can disproportionately impact the portfolio.

Core Features:

  • Risk-Based Sizing: Position size is determined by risk per trade, not a fixed dollar amount.
  • Multiple Sizing Models: Supports Percent Risk, ATR (Average True Range) Volatility, and Kelly Criterion models.
  • Stop-Loss Integration: Calculates the number of shares to buy based on the distance to the stop-loss.
  • Portfolio Context: Checks for sector concentration and total portfolio risk.

When to Use This Skill

Explicit Triggers:

  • "How many shares of AAPL should I buy?"
  • "Calculate the position size for a trade in TSLA."
  • "My stop-loss for GOOG is at $170, how much should I buy?"
  • User asks about "position sizing," "risk per trade," "Kelly criterion," or "ATR sizing."

Implicit Triggers:

  • User is planning a new stock purchase and mentions an entry and stop-loss price.
  • User is asking about how to manage risk on a new trade.

Workflow

Step 1: Gather Inputs

The user must provide the following information:

position-sizer calculate \
  --portfolio-value 100000 \
  --risk-per-trade-pct 1 \
  --entry-price 175.00 \
  --stop-loss-price 170.00 \
  --ticker AAPL \
  # Optional sizing model:
  --model percent-risk # (default) or 'atr' or 'kelly'
  # Required for ATR model:
  --atr 2.5
  # Required for Kelly model:
  --win-probability 0.60 \
  --win-loss-ratio 2.0

Required Parameters:

  • --portfolio-value: Total value of the trading portfolio.
  • --risk-per-trade-pct: The maximum percentage of the portfolio to risk on this single trade (e.g., 1 for 1%).
  • --entry-price: The intended purchase price of the stock.
  • --stop-loss-price: The price at which the position will be sold for a loss.

Optional Parameters:

  • --ticker: The stock ticker (used for sector concentration checks).
  • --model: The sizing model to use. Defaults to percent-risk.
  • --atr: The Average True Range of the stock (required for atr model).
  • --win-probability and --win-loss-ratio: Required for kelly model.

Step 2: Execute Calculation Script

Run the position sizing script with the provided inputs:

python3 skills/position-sizer/scripts/position_sizer.py --portfolio-value 100000 ...

The script performs the calculations based on the selected model.

Calculation Models

1. Percent Risk (Default)

  • Risk per Trade ($) = Portfolio Value * (Risk per Trade % / 100)
  • Risk per Share ($) = Entry Price - Stop-Loss Price
  • Number of Shares = Risk per Trade ($) / Risk per Share ($)

2. ATR Volatility Sizing

  • Risk per Share ($) = ATR * Multiplier (default 2x)
  • Stop-Loss Price = Entry Price - Risk per Share ($)
  • Number of Shares = Risk per Trade ($) / Risk per Share ($)
  • *This model is useful when a stop-loss price is not predetermined.*

3. Kelly Criterion (Advanced)

  • Kelly % = Win Probability - [(1 - Win Probability) / Win-Loss Ratio]
  • Position Size ($) = Portfolio Value * Kelly %
  • Number of Shares = Position Size ($) / Entry Price
  • *This model optimizes for long-term geometric growth but can be aggressive. Often used at half-Kelly.*

Step 3: Sector Concentration Check

If a --ticker is provided, the script will:

  1. Fetch the sector for the ticker.
  2. Check the current portfolio's allocation to that sector.
  3. Issue a warning if the new position would push the sector's weight above a defined threshold (e.g., 25%).

Step 4: Present the Results

The script outputs a JSON object and a human-readable summary.

JSON Output:

{
  "model": "Percent Risk",
  "inputs": { ... },
  "results": {
    "risk_per_trade_usd": 1000,
    "risk_per_share_usd": 5,
    "num_shares_to_buy": 200,
    "position_size_usd": 35000,
    "position_size_pct_of_portfolio": 35.0
  },
  "warnings": [
    "This position will represent 35.0% of your portfolio. This is a highly concentrated position."
  ]
}

Human-Readable Summary:

  • Model Used: Percent Risk
  • Max Risk on this Trade: $1,000.00 (1.0% of $100,000 portfolio)
  • Entry / Stop: $175.00 / $170.00 (Risk per share: $5.00)
  • Calculated Position Size:

- Shares to Buy: 200 - Total Position Value: $35,000.00

  • Portfolio Impact: This position will be 35.0% of your total portfolio.
  • Warnings:

- ⚠️ This is a highly concentrated position.


Important Considerations

  • Integer Shares: Remind the user that they can only buy whole shares, so rounding down is the safest approach.
  • Liquidity: For large position sizes, warn about potential slippage on entry.
  • Not Financial Advice: Include a disclaimer that this is a risk management tool, not a recommendation to buy or sell.

适合场景

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03

需要根据任务场景推荐可安装能力包时

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能力概览

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能力 2

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能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

97.67%
按下载量换算925

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可疑

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该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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