Claude Trading Skills is a collection of Claude Code workflows for individual investors who want structured market analysis, charting, economic-calendar review, screening, trade planning, journaling, and risk management. It is designed for people using long-term investing, ETFs, dividend stocks, and disciplined swing trading, and the catalogue entries package these workflows as skills, agents, commands, settings, and instructions.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add tradermonty/claude-trading-skills --skill position-sizergit clone --depth 1 https://github.com/tradermonty/claude-trading-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/tradermonty/claude-trading-skills/position-sizer)<a href="https://agentmods.dev/skills/tradermonty/claude-trading-skills/position-sizer"><img src="https://agentmods.dev/badge/skills/tradermonty/claude-trading-skills/position-sizer/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/tradermonty/claude-trading-skills/position-sizer"><img src="https://agentmods.dev/badge/skills/tradermonty/claude-trading-skills/position-sizer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00062 | $0.01844 |
| Opus 5 | $0.00031 | $0.00922 |
| Sonnet 5 | $0.00012 | $0.00369 |
| Haiku 4.5 | $0.00006 | $0.00184 |
Grade A, and why
position-sizer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 197 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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. The default output is whole shares. Use --fractional only when the user's broker supports fractional shares for the security and order type.
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 has a small account where whole-share rounding would under-deploy a defined risk budget
- 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
- Optional share mode: Whole shares by default, or fractional shares with
--fractional --share-precision Nwhen supported by the broker
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.
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 197 lines · 62 tokens per session scan A 0fca15a0976e
position-sizer is a skill published in the GitHub repository tradermonty/claude-trading-skills (2,813 stars, last pushed today), licensed MIT. It adds 62 tokens to every session and 1,844 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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