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 agiprolabs/claude-trading-skills --skill position-sizinggit clone --depth 1 https://github.com/agiprolabs/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/agiprolabs/claude-trading-skills/position-sizing)<a href="https://agentmods.dev/skills/agiprolabs/claude-trading-skills/position-sizing"><img src="https://agentmods.dev/badge/skills/agiprolabs/claude-trading-skills/position-sizing/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/agiprolabs/claude-trading-skills/position-sizing"><img src="https://agentmods.dev/badge/skills/agiprolabs/claude-trading-skills/position-sizing.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 | $0.00022 | $0.02390 |
| Opus 5 | $0.00011 | $0.01195 |
| Sonnet 5 | $0.00004 | $0.00478 |
| Haiku 4.5 | $0.00002 | $0.00239 |
Grade A, and why
position-sizing 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 12d 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 — 293 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Position Sizing
Position sizing is the single most important risk management decision in trading. Your entry signal determines direction; your position size determines survival. A mediocre strategy with proper sizing will outperform a great strategy with reckless sizing over any meaningful time horizon.
Core principle: Size determines survival, not entries. Two traders with the same signals but different sizing will have wildly different outcomes. The one who sizes conservatively survives drawdowns and compounds capital; the one who oversizes blows up.
Methods Covered
| Method | Best For | Key Input |
|---|---|---|
| Fixed Fractional | General trading, most recommended | Account risk % |
| Volatility-Adjusted | Volatile markets, multi-asset | ATR or realized vol |
| Kelly Criterion | Quantified edge with track record | Win rate + payoff ratio |
| Liquidity-Constrained | Low-liquidity Solana tokens | Pool depth |
| Anti-Martingale | Trend-following strategies | Recent P&L streak |
1. Fixed Fractional Sizing
The most recommended method for most traders. Risk a fixed percentage of your account on each trade.
Formula
risk_amount = account_value * risk_percentage
price_risk_per_unit = entry_price - stop_loss_price
position_size_units = risk_amount / price_risk_per_unit
position_value = position_size_units * entry_price
Risk Tiers
| Tier | Risk Per Trade | Use Case |
|---|---|---|
| Conservative | 0.5–1% | New strategies, drawdown recovery |
| Standard | 1–2% | Most traders, proven strategies |
| Aggressive | 3–5% | High-conviction setups with strong, measured edge |
Example
account = 10_000 # $10,000 or 100 SOL
risk_pct = 0.02 # 2%
entry = 1.50
stop_loss = 1.30
risk_amount = account * risk_pct # $200
price_risk = entry - stop_loss # $0.20
position_units = risk_amount / price_risk # 1,000 tokens
position_value = position_units * entry # $1,500
What ships with it
4 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.
- 12d ago First seen · 293 lines · 22 tokens per session scan A 522a7c3de61d
position-sizing is a skill published in the GitHub repository agiprolabs/claude-trading-skills (356 stars, last pushed 9d ago), licensed MIT. It adds 22 tokens to every session and 2,390 once invoked, about $0.0001 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 2026-08-30.
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