Agent skill

Mean Reversion

by Superior-Trade in Superior-Trade/superior-skills

MITAuto-check passedBusiness, Finance & HR

Install Mean Reversion

skills CLI

$ npx skills add Superior-Trade/superior-skills --skill mean-reversion -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI

$ gh skill install Superior-Trade/superior-skills mean-reversion --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy

$ git clone --depth 1 https://github.com/Superior-Trade/superior-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/mean-reversion .claude/skills/mean-reversion && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Paste into Claude Code

Install the "mean-reversion" agent skill from https://github.com/Superior-Trade/superior-skills/tree/main/skills/mean-reversion into .claude/skills/mean-reversion/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mean-reversion", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/Superior-Trade/superior-skills/tree/main/skills/mean-reversion

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add Superior-Trade/superior-skills --skill mean-reversion -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install Superior-Trade/superior-skills mean-reversion --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Superior-Trade/superior-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/mean-reversion .agents/skills/mean-reversion && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "mean-reversion" agent skill from https://github.com/Superior-Trade/superior-skills/tree/main/skills/mean-reversion into .agents/skills/mean-reversion/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mean-reversion", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add Superior-Trade/superior-skills --skill mean-reversion -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install Superior-Trade/superior-skills mean-reversion --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Superior-Trade/superior-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/mean-reversion .cursor/skills/mean-reversion && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "mean-reversion" agent skill from https://github.com/Superior-Trade/superior-skills/tree/main/skills/mean-reversion into .cursor/skills/mean-reversion/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mean-reversion", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/Superior-Trade/superior-skills.git --path skills/mean-reversion

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add Superior-Trade/superior-skills --skill mean-reversion -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install Superior-Trade/superior-skills mean-reversion --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Superior-Trade/superior-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/mean-reversion .gemini/skills/mean-reversion && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "mean-reversion" agent skill from https://github.com/Superior-Trade/superior-skills/tree/main/skills/mean-reversion into .gemini/skills/mean-reversion/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mean-reversion", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install Superior-Trade/superior-skills mean-reversion

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add Superior-Trade/superior-skills --skill mean-reversion -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/Superior-Trade/superior-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/mean-reversion .github/skills/mean-reversion && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "mean-reversion" agent skill from https://github.com/Superior-Trade/superior-skills/tree/main/skills/mean-reversion into .github/skills/mean-reversion/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mean-reversion", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add Superior-Trade/superior-skills --skill mean-reversion -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install Superior-Trade/superior-skills mean-reversion --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Superior-Trade/superior-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/mean-reversion .opencode/skills/mean-reversion && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "mean-reversion" agent skill from https://github.com/Superior-Trade/superior-skills/tree/main/skills/mean-reversion into .opencode/skills/mean-reversion/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "mean-reversion", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: mean-reversion
GitHub stars: 215
Token cost: ~1.4k tokens
SKILL.md length: 350 words
Files: 1
Skills in repo: 31
Repo updated: Sep 10, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Writing a Bollinger-band mean-reversion strategy on Superior Trade — anything described as mean reversion
SKILL.md covers Backtest evidence, Thesis, Mechanics and Strategy code, plus 3 more sections
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
Oversold bounce

What it does

Mean Reversion is an agent skill from Superior-Trade/superior-skills. Use when writing a Bollinger-band mean-reversion strategy on Superior Trade — anything described as mean reversion, BB bands, oversold bounce, fade, range trade, ADX low, sigma extension. Upgraded 2026-05-18 from the prior 1h/2.5σ variant to the validated 4h/2σ/ADX<25 version (+8.77% multi-pair, 65.5% win over 162d). Prior 1h variant is preserved at the end of the file as an archived reference.

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Business, Finance & HR, covering Trading and backtesting. It works with Circle USDC. The repository describes itself as: Open agent skills and tool schemas for Superior Trade — build, backtest, and deploy trading strategies on Hyperliquid. The licence is MIT.

When your agent uses it

Writing a Bollinger-band mean-reversion strategy on Superior Trade — anything described as mean reversion
Oversold bounce
Sigma extension

Example prompts

“/mean-reversion”

Requirements

Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit 9d41db5. It shows what the files ask for, not the result of running them.

Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are python and json).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Mean Reversion loads about 1.4k tokens when it runs. Until then it costs about 103 tokens; SKILL.md has 350 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~103
When it runs · the whole SKILL.md, loaded when a task matches: ~1.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Superior-Trade/superior-skills at commit 9d41db5, republished under its MIT licence (© Superior-Trade). 350 words, ~1,402 tokens.

Download SKILL.mdSave it as .claude/skills/mean-reversion/SKILL.md (or your agent's skills folder).

name: mean-reversion
description: Use when writing a Bollinger-band mean-reversion strategy on Superior Trade — anything described as mean reversion, BB bands, oversold bounce, fade, range trade, ADX low, sigma extension. Upgraded 2026-05-18 from the prior 1h/2.5σ variant to the validated 4h/2σ/ADX<25 version (+8.77% multi-pair, 65.5% win over 162d). Prior 1h variant is preserved at the end of the file as an archived reference.
metadata.version: 0.2.0
metadata.updated: 2026-05-18

Mean Reversion — Bollinger Reverter 4h

Note: This template was upgraded from the prior 1h / 2.5σ / ADX<30 version to the 4h / 2σ / ADX<25 version after backtesting showed the 4h variant produces meaningfully more trades with comparable risk and validated multi-pair edge. The prior 1h version is preserved at the end for reference.

Symmetric mean-reversion strategy on the 4h timeframe. Long-or-short on Bollinger band touches, gated to range regimes via ADX. Validated across BTC/ETH/SOL/DOGE over 162 days.

Backtest evidence

Config	Trades	Win	Profit	Max DD
BTC/USDC:USDC, 162d	18	72%	+8.14%	10%
BTC/USDC:USDC, range-regime sub-window (80d)	8	100%	+9.88%	0%
BTC/ETH/SOL/DOGE multi-pair, 162d	84	65.5%	+8.77%	18.5%

Thesis

When the market is range-bound (ADX < 25), price touching the upper or lower Bollinger Band reliably reverts to the midline. Tight ROI takes profit fast since mean-reversion targets are small; tight stop closes positions that turn into trend breaks rather than reversions.

Mechanics

Timeframe: 4h
20-bar Bollinger Bands at 2σ
Entry short: close > bb_upper AND rsi > 65 AND adx < 25
Entry long: close < bb_lower AND rsi < 35 AND adx < 25
Exit: close crosses the band midline
Stop: -2%
ROI ladder: 2.5% → 1.5% → 0.5% → breakeven over 24h
No trailing stop (band reversion targets are small; ROI ladder handles take-profit)

Strategy code

python

from freqtrade.strategy import IStrategy
import pandas as pd
import talib.abstract as ta


class MeanReversionStrategy(IStrategy):
    INTERFACE_VERSION = 3
    timeframe = "4h"
    can_short = True

    stoploss = -0.02
    trailing_stop = False

    minimal_roi = {
        "0": 0.025,
        "240": 0.015,
        "720": 0.005,
        "1440": 0,
    }

    process_only_new_candles = True
    startup_candle_count = 60
    use_exit_signal = True

    def populate_indicators(self, dataframe: pd.DataFrame, metadata: dict) -> pd.DataFrame:
        bb = ta.BBANDS(dataframe, timeperiod=20, nbdevup=2.0, nbdevdn=2.0)
        dataframe["bb_upper"] = bb["upperband"]
        dataframe["bb_mid"] = bb["middleband"]
        dataframe["bb_lower"] = bb["lowerband"]
        dataframe["rsi"] = ta.RSI(dataframe, timeperiod=14)
        dataframe["adx"] = ta.ADX(dataframe, timeperiod=14)
        return dataframe

    def populate_entry_trend(self, dataframe: pd.DataFrame, metadata: dict) -> pd.DataFrame:
        cond_short = (
            (dataframe["close"] > dataframe["bb_upper"])
            & (dataframe["rsi"] > 65)
            & (dataframe["adx"] < 25)
        )
        dataframe.loc[cond_short, "enter_short"] = 1
        dataframe.loc[cond_short, "enter_tag"] = "bb_upper_revert"

        cond_long = (
            (dataframe["close"] < dataframe["bb_lower"])
            & (dataframe["rsi"] < 35)
            & (dataframe["adx"] < 25)
        )
        dataframe.loc[cond_long, "enter_long"] = 1
        dataframe.loc[cond_long, "enter_tag"] = "bb_lower_revert"
        return dataframe

    def populate_exit_trend(self, dataframe: pd.DataFrame, metadata: dict) -> pd.DataFrame:
        dataframe.loc[dataframe["close"] < dataframe["bb_mid"], "exit_short"] = 1
        dataframe.loc[dataframe["close"] > dataframe["bb_mid"], "exit_long"] = 1
        return dataframe

Reference config (multi-pair)

json

{
  "exchange": {
    "name": "hyperliquid",
    "pair_whitelist": ["BTC/USDC:USDC", "ETH/USDC:USDC", "SOL/USDC:USDC", "DOGE/USDC:USDC"]
  },
  "stake_currency": "USDC",
  "stake_amount": 75,
  "dry_run_wallet": {"USDC": 350},
  "timeframe": "4h",
  "max_open_trades": 4,
  "minimal_roi": {"0": 100.0},
  "stoploss": -0.02,
  "trading_mode": "futures",
  "margin_mode": "isolated",
  "entry_pricing": {"price_side": "same", "price_last_balance": 0.0},
  "exit_pricing": {"price_side": "same", "price_last_balance": 0.0},
  "pairlists": [{"method": "StaticPairList"}]
}

Show full SKILL.md (142 more words)Show less

Honest framing

In strong-trend windows the strategy loses small (-1.75% on BTC during the first-half strong bear). In rangy windows it shines (+9.88% on BTC second-half). The mixed-regime full-period multi-pair number (+8.77% in 162d on $350 wallet) is the credible expectation.

DOGE was the negative pair (-0.65%) — meme volatility breaks more bands than reverts to them. Use this strategy on majors.

Pair with donchian-strong-regime for full-regime coverage.

Prior version (1h, 2.5σ, archived)

The previous version was tighter (2.5σ bands, ADX<30) on a 1h timeframe. Its own honest framing noted "5 trades in 4 months" — too rare to be useful. The 4h version produces ~3× the signal density with the same risk profile. The 1h version is preserved here for users who want a deeper-fade variant:

python

# Archived 1h variant — fewer, deeper signals
timeframe = "1h"
# bb = ta.BBANDS(dataframe, timeperiod=100, nbdevup=2.5, nbdevdn=2.5)
# rsi gates same; adx < 30 (looser)

If you prefer the rarer-but-deeper setup, restore the 1h timeframe and 2.5σ. The exit logic is unchanged.

Files

Just SKILL.md in skills/mean-reversion of Superior-Trade/superior-skills.

Open the folder on GitHubat commit 9d41db5

Compare with similar skills

Mean Reversion next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Mean Reversion compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Mean Reversion this skillSuperior-Trade/superior-skills	215	—	~1.4k	Automated safety check: Pass	MIT	1 mo ago
Polymarket TradingBlockRunAI/ClawRouter	6.6k	—	~1.4k	Automated safety check: Pass	MIT	5 days ago
Solana Payments Wallets Tradingnpc-live/clawfirm	156	1 repos	~4.7k	Automated safety check: Pass	MIT	3 mo ago
Nansen Tradingnansen-ai/nansen-cli	139	—	~3.3k	Automated safety check: Notes	MIT	yesterday
Shipp Sports Datamoonpay/skills	113	—	~1.4k	Automated safety check: Pass	MIT	1 mo ago
Aomi Transactjeremylongshore/tons-of-skills-marketplace	2.8k	—	~2.3k	Automated safety check: Pass	MIT	yesterday

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Works with

Circle USDC

Questions about Mean Reversion

What does Mean Reversion do?

A skill your agent uses when writing a Bollinger-band mean-reversion strategy on Superior Trade — anything described as mean reversion, BB bands, oversold bounce, fade, range trade, ADX low, sigma…. Mean Reversion is an agent skill from Superior-Trade/superior-skills. Use when writing a Bollinger-band mean-reversion strategy on Superior Trade — anything described as mean reversion, BB bands, oversold bounce, fade, range trade, ADX low, sigma extension.

When should I use Mean Reversion?

Mean Reversion fits situations like: writing a Bollinger-band mean-reversion strategy on Superior Trade — anything described as mean reversion; oversold bounce; sigma extension.

How do I install Mean Reversion in Claude Code?

Run `npx skills add Superior-Trade/superior-skills --skill mean-reversion -a claude-code`. Or copy the skill folder (skills/mean-reversion in Superior-Trade/superior-skills) into .claude/skills/mean-reversion in your project. Claude Code loads it when a task matches its description.

How do I install Mean Reversion in Codex?

Run `npx skills add Superior-Trade/superior-skills --skill mean-reversion -a codex`. Or copy the skill folder (skills/mean-reversion in Superior-Trade/superior-skills) into .agents/skills/mean-reversion in your project. Codex loads it when a task matches its description.

Can I use Mean Reversion in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Superior-Trade/superior-skills --skill mean-reversion -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/mean-reversion, .gemini/skills/mean-reversion, .github/skills/mean-reversion and .opencode/skills/mean-reversion in your project.

What does Mean Reversion need to run?

SKILL.md names no scripts, command-line tools or credentials: Mean Reversion is instructions for the agent only. Our summary lists: Python 3.

Does Mean Reversion access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Mean Reversion safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Mean Reversion use?

Mean Reversion is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Mean Reversion use?

About 1.4k tokens (SKILL.md is roughly 5.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Mean Reversion?

Skills that share tags, products or a category with Mean Reversion: Polymarket Trading (BlockRunAI/ClawRouter, 6.6k stars), Solana Payments Wallets Trading (npc-live/clawfirm, 156 stars), Nansen Trading (nansen-ai/nansen-cli, 139 stars) and Shipp Sports Data (moonpay/skills, 113 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Mean Reversion?

Superior-Trade (a GitHub organization) maintains it in Superior-Trade/superior-skills, which has 215 GitHub stars. The repository holds 31 skills in this directory. The repository was last updated on September 10, 2026.

Source: Superior-Trade/superior-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Mean Reversion

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Mean Reversion — Bollinger Reverter 4h

Backtest evidence

Thesis

Mechanics

Strategy code

Reference config (multi-pair)

Honest framing

Prior version (1h, 2.5σ, archived)

Files

Compare with similar skills

Similar skills

More from Superior-Trade/superior-skills

Related

Questions about Mean Reversion