Agent skill

Scalping

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

A skill your agent uses when writing a high-turnover intraday strategy on Superior Trade — anything described as scalping, momentum bursts, fast in/out, RSI thrust, volume spike entry, 5-minute…

MITAuto-check passedBusiness, Finance & HR

Install Scalping

skills CLI

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

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

GitHub CLI

$ gh skill install Superior-Trade/superior-skills scalping --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/scalping .claude/skills/scalping && 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 "scalping" agent skill from https://github.com/Superior-Trade/superior-skills/tree/main/skills/scalping into .claude/skills/scalping/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scalping", 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/scalping

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 scalping -a codex

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

GitHub CLI

$ gh skill install Superior-Trade/superior-skills scalping --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/scalping .agents/skills/scalping && 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 "scalping" agent skill from https://github.com/Superior-Trade/superior-skills/tree/main/skills/scalping into .agents/skills/scalping/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scalping", 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 scalping -a cursor

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

GitHub CLI

$ gh skill install Superior-Trade/superior-skills scalping --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/scalping .cursor/skills/scalping && 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 "scalping" agent skill from https://github.com/Superior-Trade/superior-skills/tree/main/skills/scalping into .cursor/skills/scalping/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scalping", 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/scalping

--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 scalping -a gemini-cli

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

GitHub CLI

$ gh skill install Superior-Trade/superior-skills scalping --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/scalping .gemini/skills/scalping && 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 "scalping" agent skill from https://github.com/Superior-Trade/superior-skills/tree/main/skills/scalping into .gemini/skills/scalping/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scalping", 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 scalping

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 scalping -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/scalping .github/skills/scalping && 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 "scalping" agent skill from https://github.com/Superior-Trade/superior-skills/tree/main/skills/scalping into .github/skills/scalping/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scalping", 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 scalping -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 scalping --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/scalping .opencode/skills/scalping && 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 "scalping" agent skill from https://github.com/Superior-Trade/superior-skills/tree/main/skills/scalping into .opencode/skills/scalping/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "scalping", 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: scalping
GitHub stars: 215
Token cost: ~1.4k tokens
SKILL.md length: 412 words
Files: 1
Skills in repo: 31
Repo updated: Sep 10, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

A skill your agent uses when writing a high-turnover intraday strategy on Superior Trade — anything described as scalping, momentum bursts, fast in/out, RSI thrust, volume spike entry, 5-minute…

Works in 3 steps: No regime filter: enters in chop AND in… → Entry on overbought + thrust: RSI > 70… → Single pair: Scalping edges thin out on…
Writing a high-turnover intraday strategy on Superior Trade — anything described as scalping
SKILL.md covers When to use, Honest framing, Backtest reference and Reference implementation, plus 5 more sections
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Scalping is an agent skill from Superior-Trade/superior-skills. Use when writing a high-turnover intraday strategy on Superior Trade — anything described as scalping, momentum bursts, fast in/out, RSI thrust, volume spike entry, 5-minute strategy. Note this template was unprofitable in our reference backtest (33% WR, -0.34%); use it as a structural template, not a recommendation.

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. 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 high-turnover intraday strategy on Superior Trade — anything described as scalping
Momentum bursts
Volume spike entry
5-minute strategy

Example prompts

“/scalping”

Requirements

Python 3

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

No regime filter: enters in chop AND in trend. Chop kills the 0.6% target before it hits.
Entry on overbought + thrust: RSI > 70 plus high volume usually marks a local top, not a continuation. Inverting (rsi < 30 + vol_thrust >…
Single pair: Scalping edges thin out on a single asset. Top-30 perp scan with VolumePairList increases hit count, lets the law of large…

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

Scalping loads about 1.4k tokens when it runs. Until then it costs about 82 tokens; SKILL.md has 412 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~82
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). 412 words, ~1,417 tokens.

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

name: scalping
description: Use when writing a high-turnover intraday strategy on Superior Trade — anything described as scalping, momentum bursts, fast in/out, RSI thrust, volume spike entry, 5-minute strategy. Note this template was unprofitable in our reference backtest (33% WR, -0.34%); use it as a structural template, not a recommendation.
metadata.version: 0.1.0
metadata.updated: 2026-05-07

Strategy: Scalp · Momentum Bursts

When to use

A user asks for a scalping strategy, "fast in/out", "5m strategy", "ride the thrust", "buy when volume spikes". Single-pair, tight stops, time-stopped trades.

Honest framing

The reference backtest below was unprofitable (33% WR, −0.34% PnL, Sharpe −5.6) on SOL 5m over April 2026. The strategy executes correctly — it's not broken — it's just a losing parameter set on this window. The 0.6% target / 0.4% stop ratio needs ~41% hit rate to break even before fees, which the entry filter didn't deliver. Do not deploy as-is. Tune the entry threshold and validate before recommending to a user.

This skill exists as a structural template for high-turnover momentum entries. Real edge requires parameter search, regime filtering, or a different signal.

Backtest reference

Window	`SOL/USDC:USDC` 5m, 2026-04-01 → 2026-05-01 (30 days)
Trades	76
Win rate	33%
Wallet PnL	−0.34%
Sharpe	−5.6
Backtest ID	`01kqypvbmjjhqjn3ae8bgqr9p0`

Reference implementation

python

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


class SolScalpMomentumStrategy(IStrategy):
    minimal_roi = {"0": 0.006}    # 0.6% profit target
    stoploss = -0.004              # 0.4% stop
    trailing_stop = False
    timeframe = "5m"
    process_only_new_candles = True
    startup_candle_count = 100
    can_short = False

    def populate_indicators(self, dataframe: pd.DataFrame, metadata: dict) -> pd.DataFrame:
        # Session VWAP approximation over the last 288 bars (~24h).
        tp = (dataframe["high"] + dataframe["low"] + dataframe["close"]) / 3.0
        pv = tp * dataframe["volume"]
        dataframe["vwap"] = pv.rolling(288).sum() / dataframe["volume"].rolling(288).sum()
        dataframe["rsi"] = ta.RSI(dataframe, timeperiod=14)
        dataframe["vol_avg20"] = dataframe["volume"].rolling(20).mean()
        dataframe["vol_thrust"] = dataframe["volume"] / dataframe["vol_avg20"]
        return dataframe

    def populate_entry_trend(self, dataframe: pd.DataFrame, metadata: dict) -> pd.DataFrame:
        dataframe.loc[
            (dataframe["close"] > dataframe["vwap"])
            & (dataframe["rsi"] > 70)
            & (dataframe["vol_thrust"] > 2.0),
            "enter_long",
        ] = 1
        return dataframe

    def populate_exit_trend(self, dataframe: pd.DataFrame, metadata: dict) -> pd.DataFrame:
        dataframe.loc[(dataframe["rsi"] < 50), "exit_long"] = 1
        return dataframe

    def custom_exit(self, pair: str, trade, current_time: datetime,
                    current_rate: float, current_profit: float, **kwargs):
        # Time stop at 12 minutes (~3 bars on 5m).
        elapsed = (current_time - trade.open_date_utc).total_seconds()
        if elapsed >= 12 * 60:
            return "time_stop_12m"
        return None

Config requirements

json

{
  "exchange": { "name": "hyperliquid", "pair_whitelist": ["SOL/USDC:USDC"] },
  "stake_currency": "USDC",
  "stake_amount": 100,
  "timeframe": "5m",
  "max_open_trades": 1,
  "stoploss": -0.004,
  "minimal_roi": { "0": 0.006 },
  "trading_mode": "futures",
  "margin_mode": "cross",
  "entry_pricing": { "price_side": "same" },
  "exit_pricing": { "price_side": "same" },
  "pairlists": [{ "method": "StaticPairList" }]
}

Tunable parameters

Knob	Effect
`rsi > 70`	Stricter (`> 80`) → fewer entries, only the strongest thrusts.
`vol_thrust > 2.0`	Tighter (`> 3.0`) → only volume blowouts; very rare.
`0.006` ROI	Wider target → more time in trade, more tail risk.
`0.004` stop	Tighter stop → more stops out, lower per-trade loss.
`12 * 60` time stop	Faster timeout → more trades but lower edge per trade.

Show full SKILL.md (205 more words)Show less

Why this loses (and how to fix)

Three structural issues in the reference parameters:

No regime filter: enters in chop AND in trend. Chop kills the 0.6% target before it hits.
Entry on overbought + thrust: RSI > 70 plus high volume usually marks a local top, not a continuation. Inverting (rsi < 30 + vol_thrust > 2.0) for a fade entry is worth testing.
Single pair: Scalping edges thin out on a single asset. Top-30 perp scan with VolumePairList increases hit count, lets the law of large numbers help.

Practical refinements before suggesting to a user:

Add a higher-timeframe trend filter (1h close > 1h ema_50).
Use ATR-scaled stops instead of fixed 0.4%.
Test the inverted (mean-reversion-on-thrust) variant.

Common pitfalls

Slippage eats the edge. A 0.6% target on a 5m candle leaves ~3 ticks of room. With Hyperliquid taker fee + slippage, effective edge is closer to 0.4% — barely above the stop. See fees-optimizations.
startup_candle_count too low. The 288-bar VWAP needs 288 bars of warmup; default 30 produces NaN VWAP for the first 24h.
Single-pair scalping is undercapitalized signal. 76 trades / 30 days is fine for statistics, not for an edge.

Sources

Internal audit — docs/standard-strategies-audit.md, backtest 01kqypvbmjjhqjn3ae8bgqr9p0
See fees-optimizations for fee-aware sizing of tight-target strategies.

Files

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

Open the folder on GitHubat commit 9d41db5

Compare with similar skills

Scalping 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.

Scalping compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Scalping this skillSuperior-Trade/superior-skills	215	—	~1.4k	Automated safety check: Pass	MIT	1 mo ago
Tushare Datazillionare/zillionare	321	2 repos	~2.3k	Automated safety check: Pass	None	today
Tradingview MCPatilaahmettaner/tradingview-mcp	5k	—	~1.3k	Automated safety check: Pass	MIT	today
Digital Oraclekomako-workshop/digital-oracle	878	—	~5.9k	Automated safety check: Pass	MIT	2 mo ago
Polyclawchainstacklabs/polyclaw	359	1 repos	~2k	Automated safety check: Pass	Apache-2.0	5 mo ago
Markdownfacioquo/stock-indicators-dotnet	1.2k	—	~812	Automated safety check: Pass	Apache-2.0	today

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Questions about Scalping

What does Scalping do?

A skill your agent uses when writing a high-turnover intraday strategy on Superior Trade — anything described as scalping, momentum bursts, fast in/out, RSI thrust, volume spike entry, 5-minute…. Scalping is an agent skill from Superior-Trade/superior-skills. Use when writing a high-turnover intraday strategy on Superior Trade — anything described as scalping, momentum bursts, fast in/out, RSI thrust, volume spike entry, 5-minute strategy.

When should I use Scalping?

Scalping fits situations like: writing a high-turnover intraday strategy on Superior Trade — anything described as scalping; momentum bursts; volume spike entry; 5-minute strategy.

How do I install Scalping in Claude Code?

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

How do I install Scalping in Codex?

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

Can I use Scalping 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 scalping -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/scalping, .gemini/skills/scalping, .github/skills/scalping and .opencode/skills/scalping in your project.

What does Scalping need to run?

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

Does Scalping 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 Scalping 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 Scalping use?

Scalping 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 Scalping use?

About 1.4k tokens (SKILL.md is roughly 5.7k 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 Scalping?

Skills that share tags, products or a category with Scalping: Tushare Data (zillionare/zillionare, 321 stars), Tradingview MCP (atilaahmettaner/tradingview-mcp, 5k stars), Digital Oracle (komako-workshop/digital-oracle, 878 stars) and Polyclaw (chainstacklabs/polyclaw, 359 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Scalping?

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 Scalping

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Strategy: Scalp · Momentum Bursts

When to use

Honest framing

Backtest reference

Reference implementation

Config requirements

Tunable parameters

Why this loses (and how to fix)

Common pitfalls

Sources

Files

Compare with similar skills

Similar skills

More from Superior-Trade/superior-skills

Related

Questions about Scalping