position-sizer

Q: How do I install position-sizer?

Run npx skills add https://github.com/wind-alice/alicemarket --skill position-sizer in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/position-sizer/ (personal) or .claude/skills/position-sizer/ (project).

by wind-aliceBusiness & Finance

Calculate risk-based position sizes for long stock trades. Use when user asks about position sizing, how many shares to buy, risk per trade, Kelly criterion, ATR-based sizing, or portfolio risk allocation. Supports stop-loss distance calculation, volatility scaling, and sector concentration checks.

Installs: 409
Last 24h: —
Trending rank: —
Security: Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/wind-alice/alicemarket --skill position-sizer

01
Install
Run the command in your project. The CLI asks which agents to install for.
02
Describe the task
Ask your agent for something this skill covers. It loads position-sizer automatically when relevant.
03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Position Sizer

Overview

Calculate the optimal number of shares to buy for a long stock trade based on risk management principles. Supports three sizing methods:

Fixed Fractional: Risk a fixed percentage of account equity per trade (default: 1%)
ATR-Based: Use Average True Range to set volatility-adjusted stop distances
Kelly Criterion: Calculate mathematically optimal risk allocation from historical win/loss statistics

All methods apply portfolio constraints (max position %, max sector %) and output a final recommended share count with full risk breakdown.

When to Use

User asks "how many shares should I buy?"
User wants to calculate position size for a specific trade setup
User mentions risk per trade, stop-loss sizing, or portfolio allocation
User asks about Kelly Criterion or ATR-based position sizing
User wants to check if a position fits within portfolio concentration limits

Prerequisites

No API keys required
Python 3.9+ with standard library only

Workflow

Step 1: Gather Trade Parameters

Collect from the user:

Required: Account size (total equity)
Mode A (Fixed Fractional): Entry price, stop price, risk percentage (default 1%)
Mode B (ATR-Based): Entry price, ATR value, ATR multiplier (default 2.0x), risk percentage
Mode C (Kelly Criterion): Win rate, average win, average loss; optionally entry and stop for share calculation
Optional constraints: Max position % of account, max sector %, current sector exposure

If the user provides a stock ticker but not specific prices, use available tools to look up the current price and suggest entry/stop levels based on technical analysis.

Step 2: Execute Position Sizer Script

Run the position sizing calculation:

# Fixed Fractional (most common)
python3 skills/position-sizer/scripts/position_sizer.py \
  --account-size 100000 \
  --entry 155 \
  --stop 148.50 \
  --risk-pct 1.0 \
  --output-dir reports/

# ATR-Based
python3 skills/position-sizer/scripts/position_sizer.py \
  --account-size 100000 \
  --entry 155 \
  --atr 3.20 \
  --atr-multiplier 2.0 \
  --risk-pct 1.0 \
  --output-dir reports/

# Kelly Criterion (budget mode - no entry)
python3 skills/position-sizer/scripts/position_sizer.py \
  --account-size 100000 \
  --win-rate 0.55 \
  --avg-win 2.5 \
  --avg-loss 1.0 \
  --output-dir reports/

# Kelly Criterion (shares mode - with entry/stop)
python3 skills/position-sizer/scripts/position_sizer.py \
  --account-size 100000 \
  --entry 155 \
  --stop 148.50 \
  --win-rate 0.55 \
  --avg-win 2.5 \
  --avg-loss 1.0 \
  --output-dir reports/

Step 3: Load Methodology Reference

Read references/sizing_methodologies.md to provide context on the chosen method, risk guidelines, and portfolio constraint best practices.

Step 4: Calculate Multiple Scenarios

If the user has not specified a single method, run multiple scenarios for comparison:

Fixed Fractional at 0.5%, 1.0%, and 1.5% risk
ATR-based at 1.5x, 2.0x, and 3.0x multipliers
Present a comparison table showing shares, position value, and dollar risk for each

Step 5: Apply Portfolio Constraints and Determine Final Size

Add constraints if the user has portfolio context:

python3 skills/position-sizer/scripts/position_sizer.py \
  --account-size 100000 \
  --entry 155 \
  --stop 148.50 \
  --risk-pct 1.0 \
  --max-position-pct 10 \
  --max-sector-pct 30 \
  --current-sector-exposure 22 \
  --output-dir reports/

Explain which constraint is binding and why it limits the position.

Step 6: Generate Position Report

Present the final recommendation including:

Method used and rationale
Exact share count and position value
Dollar risk and percentage of account
Stop-loss price
Any binding constraints
Risk management reminders (portfolio heat, loss-cutting discipline)

Output Format

JSON Report

{
  "schema_version": "1.0",
  "mode": "shares",
  "parameters": {
    "entry_price": 155.0,
    "account_size": 100000,
    "stop_price": 148.50,
    "risk_pct": 1.0
  },
  "calculations": {
    "fixed_fractional": {
      "method": "fixed_fractional",
      "shares": 153,
      "risk_per_share": 6.50,
      "dollar_risk": 1000.0,
      "stop_price": 148.50
    },
    "atr_based": null,
    "kelly": null
  },
  "constraints_applied": [],
  "final_recommended_shares": 153,
  "final_position_value": 23715.0,
  "final_risk_dollars": 994.50,
  "final_risk_pct": 0.99,
  "binding_constraint": null
}

Markdown Report

Generated automatically alongside the JSON report. Contains:

Parameters summary
Calculation details for the active method
Constraints analysis (if any)
Final recommendation with shares, value, and risk

Reports are saved to reports/ with filenames position_sizer_YYYY-MM-DD_HHMMSS.json and .md.

Resources

references/sizing_methodologies.md: Comprehensive guide to Fixed Fractional, ATR-based, and Kelly Criterion methods with examples, comparison table, and risk management principles
scripts/position_sizer.py: Main calculation script (CLI interface)

Key Principles

Survival first: Position sizing is about surviving losing streaks, not maximizing winners
The 1% rule: Default to 1% risk per trade; never exceed 2% without exceptional reason
Round down: Always round shares down to whole numbers (never round up)
Strictest constraint wins: When multiple limits apply, the tightest one determines final size
Half Kelly: Never use full Kelly in practice; half Kelly captures 75% of growth with far less risk
Portfolio heat: Total open risk should not exceed 6-8% of account equity
Asymmetry of losses: A 50% loss requires a 100% gain to recover; size accordingly

FAQ

What does the position-sizer skill do?

How do I install position-sizer?

Run npx skills add https://github.com/wind-alice/alicemarket --skill position-sizer in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/position-sizer/ (personal) or .claude/skills/position-sizer/ (project).

Which AI agents can use position-sizer?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is position-sizer safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains position-sizer?

It is published by wind-alice in wind-alice/alicemarket. It has 409 recorded installs.

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position-sizer

Install

Install

Describe the task

Review the result

SKILL.md

Position Sizer

Overview

When to Use

Prerequisites

Workflow

Step 1: Gather Trade Parameters

Step 2: Execute Position Sizer Script

Step 3: Load Methodology Reference

Step 4: Calculate Multiple Scenarios

Step 5: Apply Portfolio Constraints and Determine Final Size

Step 6: Generate Position Report

Output Format

JSON Report

Markdown Report

Resources

Key Principles

FAQ

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