fee drag reality checker
Quantify post-cost trading performance by calculating commissions, spreads, funding rates, and annualized fee drag.
$5
Works with the AI tools you already use
Claude Code
Cursor
Codex CLI
Muse
Dots+22 moreClaude CodeCursorCodex CLIMuseDots
OpenClaw
Manus
Grok
Grok Bot+18 agentsfee drag reality checker
Example session with this skill installed
Analyze a crypto perpetual strategy: 150 trades/year, $50k average position, 0.04% taker fee, 0.02% spread, held 12 hours on average with a 0.01% 8h funding rate. Gross return is 35%.
- Read your context and instructions
- Compiled the fee drag reality
Fee Drag Reality Check
Strategy Snapshot
- Holding period: 12 hours
- Turnover: 150 round-trips/year
- Principal: $50,000
Cost Breakdown
| Component | Per trade | Annualized | % of principal |
|---|---|---|---|
| Commissions | $40.00 | $6,000 | 12.00% |
| Spread | $20.00 | $3,000 | 6.00% |
| Funding | $7.50 | $1,125 | 2.25% |
| Total fee drag | $67.50 | $10,125 | 20.25% |
Verdict
- Gross expected return: 35.00%
- Net expected return: 14.75%
- Viable? Yes, but highly cost-sensitive.
- Primary fee killer: Commissions + Turnover.
Connects securely to your tools. The creator never sees your data.
What you get
About this skill
The problem
High-frequency or leveraged strategies often look profitable on paper but fail in production due to hidden overhead. Developers and traders frequently underestimate how turnover, funding rates, and slippage compound to erase their edge.
What it does
- Quantifies every cost component including commissions, bid-ask spreads, and exchange fees.
- Calculates time-based costs like perpetual funding rates and margin borrow interest.
- Computes annualized fee drag and determines the break-even alpha required for viability.
- Stress-tests strategies against worst-case liquidity and high-cost execution scenarios.
Why this beats prompting it yourself
Generic LLM prompts often miss specialized costs like funding periods for perpetuals or the linear growth of turnover drag. This skill uses a structured mathematical framework to ensure no cost component is overlooked, providing a standardized reality check that separates viable alpha from fee-burning noise.
Use cases
- Audit a crypto perpetual strategy to see if funding rates kill the long-term yield.
- Compare different broker fee schedules for a high-turnover equity scalping bot.
- Calculate the impact of slippage on large order sizes relative to thin order books.
- Determine if a short-selling strategy is viable after factoring in hard-to-borrow fees.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
Free skills download straight away. Paid skills unlock right after purchase.
- 2
Unzip into your skills folder
Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.
- 3
Ask your agent to use it
Restart the agent if it was already running. It picks the skill up automatically - no config needed.
Skills folder by agent
Click the path to copy it. Create the folder if it does not exist yet.
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- Passed all security checks, Safe to install