Probability mean reversion

Skill Superior-Trade/superior-skills/skills/v3/polymarket-archetypes/probability-mean-reversion

Open agent skills and tool schemas for Superior Trade — build, backtest, and deploy trading strategies on Hyperliquid

Install

npx -y skills add Superior-Trade/superior-skills --skill probability-mean-reversion

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What its author says it does

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Use when a Polymarket outcome appears to overreact and then stall away from recent filled-price range.

SKILL.md

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Strategy: Polymarket · Probability Mean Reversion

When to use

Use this when someone asks for fade, overreaction, mean reversion, range trading, panic buy, euphoria selloff, or probability jumps with weak follow-through.

What the agent should look for

Exact market slug from POST /v3/markets/search.
A stable market with enough historical fills.
Probability significantly far from a rolling median.
Weak follow-through after the jump.
No fresh catalyst changing the thesis.
Enough time before resolution to allow drift back.

Backtest fit with filled data

Moderate fit. Filled TradeTick history can test whether probability moves have a measurable reversion pattern, while using actual fills as the execution proxy.

Limit: backtests cannot validate resting liquidity, spread paid, or what is missed in the maker queue.

Strategy logic

Enter when the outcome trades below a lower band and exit near the rolling median. If your implementation permits, do the inverse for above-band conditions when downside overextension appears.

Nautilus strategy shape

Keep a rolling window of trade prices.
Compute median and deviation thresholds.
Enter only after sufficient tick history is collected.
Exit on median reversion or max holding ticks.

Example strategyConfig

{
  "window_ticks": 40,
  "entry_deviation": 0.08,
  "exit_deviation": 0.02,
  "order_size": 10,
  "max_holding_ticks": 80
}

Iteration knobs

Knob	Effect
`window_ticks`	Larger windows produce a smoother baseline.
`entry_deviation`	Higher values wait for stronger overreactions.
`exit_deviation`	Lower values demand tighter reversion before exit.
`max_holding_ticks`	Prevents stale positions through stale conditions.

Failure modes

Real information shocks rarely mean-revert.
Markets near resolution can trend cleanly to 0 or 1.
Low liquidity can create fake extremes.
Backtests may look strong when spread and order-book pressure are ignored.

User-facing framing

"This is an overreaction fade. It works best in noisy markets without new decisive information. I’ll backtest it on filled prices first, then verify trade frequency and liquidity before suggesting live use."