Probability Mean Reversion

Probability Mean Reversion is an AI Engineering skill for Claude Code, published by Superior-Trade in superior-skills.

207 stars9 forkson Superior-Trade/superior-skillsAdded 2026/09/05Repository updated 2026/09/03

agent-skillsai-agentsalgorithmic-tradingbacktestingequitieshyperliquidllmmcppolymarketprediction-marketsquantstockstradingtrading-bottrading-strategies

Install in seconds

Install Probability Mean Reversion

Copy Probability Mean Reversion into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/Superior-Trade/superior-skills/tree/main/skills/probability-mean-reversion ~/.claude/skills/probability-mean-reversion

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/Superior-Trade/superior-skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: skills/probability-mean-reversion/SKILL.md in Superior-Trade/superior-skills
Installs to: ~/.claude/skills/probability-mean-reversion
Collection: One of 25 skills cataloged from this repository
Category: AI Engineering — 3101 skills

What Probability Mean Reversion does

Probability Mean Reversion looks for Polymarket outcomes that overreact and then drift back toward a rolling median. Use it for fade trades when there is weak follow-through and no fresh catalyst.

Probability Mean Reversion is cataloged under AI Engineering on DirSkills. Probability Mean Reversion comes from a repository tagged agent-skills, ai-agents, algorithmic-trading, backtesting and equities.

Documentation

README

Excerpt

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

Canonical Polymarket market from GET /context/markets?venue=polymarket.
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.

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Probability Mean Reversion

What else does Superior-Trade publish alongside Probability Mean Reversion?
Probability Mean Reversion is one of 25 skills that DirSkills catalogs from Superior-Trade/superior-skills, the repository it ships in. Its siblings there include Aerodrome Trading, Backtesting and Basis Arb. Each one is a separate skill with its own page in this directory, installs the same way Probability Mean Reversion does, and is maintained by Superior-Trade in that same repository. The rest of the collection is listed on the Superior-Trade/superior-skills page.
How does Probability Mean Reversion compare to other AI Engineering skills?
Probability Mean Reversion ranks #2771 by stars among the 3101 AI Engineering skills in this catalog. The most-starred ones next to it are Architecture Decision Records, AI-First Engineering and Agentic OS. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Probability Mean Reversion against them. Open each page to compare what they document and how they install.