Individual skill
fees-optimizations
Use when the user asks about fees, fee optimization, slippage, maker vs taker, post-only or ALO orders, fee tiers, builder code fees, effective spread, order pricing, lowering trading costs, or why a live Hyperliquid Freqtrade strategy underperforms its backtest. Also use proactively for high-turnover designs (5m or faster, ROI under 0.5%), where fees usually decide the outcome.
skills/fees-optimizations/SKILL.md
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- Last checked
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- agent-skills Repository topic
- backtesting Repository topic
- hyperliquid Repository topic
- trading Repository topic
- ai-agents Repository topic
- algorithmic-trading Repository topic
- equities Repository topic
- llm Repository topic
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- engineering Derived category
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# Freqtrade × Hyperliquid: Fee Optimization
## When to use
- A user asks why their backtest PnL doesn't match live PnL.
- A user designs a tight-target scalp / market-making / grid strategy and you want to flag fee-as-a-fraction-of-edge concerns _before_ they deploy.
- A user explicitly asks about maker vs taker, post-only, fee tiers, builder code, or slippage.
- Any time you're about to suggest an order_types/entry_pricing/exit_pricing block, anchor it to this skill's recommendations.
## What you're actually paying
Fees on a Superior Trade Hyperliquid deployment have **three layers**, each tunable:
### 1. Hyperliquid exchange fees (the floor)