asian-session-scalper

asian-session-scalper is a skill for Claude Code from mahmoud20138/Tradecraft. It costs 66 tokens per session (1,100 once invoked), scanned A, original, MIT.

A trading tool for short-term setups during the Tokyo, or Asian, market session, a period that often has lower price movement. It looks for trades inside the session's price range.

In plain words
What is it for?
Use it to identify range-fading opportunities, such as buying near the session low or selling near its high, and to calculate stop and target distances.
Why use it?
It provides a defined way to assess quiet-session price movement instead of treating the whole trading day the same. It can also report when there is not enough Asian-session data.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the tradecraft plugin — 58 skills shipped together

Good fit Use it to identify range-fading opportunities, such as buying near the session low or selling near its high, and to calculate stop and target distances.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/mahmoud20138/tradecraft/asian-session-scalper
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add mahmoud20138/Tradecraft --skill asian-session-scalper
Clone the repo
git clone --depth 1 https://github.com/mahmoud20138/Tradecraft

Made for: Claude Code.

Or install tradecraft, the plugin that ships this one along with the rest of its 58 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for asian-session-scalper

README.md
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Your own site
<a href="https://agentmods.dev/skills/mahmoud20138/tradecraft/asian-session-scalper"><img src="https://agentmods.dev/badge/skills/mahmoud20138/tradecraft/asian-session-scalper/github.svg" alt="Measured on agentmods" height="20"></a>

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Your own site · 80×15
<a href="https://agentmods.dev/skills/mahmoud20138/tradecraft/asian-session-scalper"><img src="https://agentmods.dev/badge/skills/mahmoud20138/tradecraft/asian-session-scalper.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,100 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00066 $0.01100
Opus 5 $0.00033 $0.00550
Sonnet 5 $0.00013 $0.00220
Haiku 4.5 $0.00007 $0.00110

Measured 12d ago against content hash 8f1855e39e7b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

asian-session-scalper scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/tradecraft/skills/asian-session-scalper/SKILL.md · 92 lines

How it starts

The opening of the file, as written. The whole thing — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Asian Session Scalper

import pandas as pd, numpy as np

class AsianSessionScalper:
    @staticmethod
    def range_fade(df: pd.DataFrame) -> dict:
        """Fade the range during Tokyo session — buy lows, sell highs of the range."""
        df = df.copy()
        df["hour"] = df.index.hour
        asian = df[(df["hour"] >= 0) & (df["hour"] < 7)]
        if len(asian) < 10: return {"error": "Insufficient Asian data"}
        range_high = asian["high"].rolling(20).max().iloc[-1]
        range_low = asian["low"].rolling(20).min().iloc[-1]
        mid = (range_high + range_low) / 2
        current = df.iloc[-1]["close"]
        atr = (asian["high"] - asian["low"]).mean()
        return {
            "strategy": "asian_range_fade",
            "range_high": round(range_high, 5), "range_low": round(range_low, 5),
            "midpoint": round(mid, 5),
            "signal": "BUY (near range low)" if current < range_low + atr * 0.3 else
                     "SELL (near range high)" if current > range_high - atr * 0.3 else "WAIT (mid-range)",
            "stop_pips": round(atr * 10000 * 1.5, 1),
            "target_pips": round(atr * 10000 * 1.0, 1),
            "best_pairs": ["USDJPY", "EURJPY", "AUDJPY", "AUDNZD"],
            "avoid": ["GBPUSD", "EURUSD (low liquidity in Asia)"],
        }

Asian Breakout Strategy

    @staticmethod
    def asian_breakout(df: pd.DataFrame, buffer_pips: float = 3.0) -> dict:
        """Trade the breakout of the Asian range during London open."""
        df = df.copy()
        df["hour"] = df.index.hour
        asian = df[(df["hour"] >= 0) & (df["hour"] < 7)]
        if len(asian) < 10: return {"error": "Insufficient Asian data"}
        range_high = asian["high"].max()
        range_low = asian["low"].min()
        range_size = range_high - range_low
        pip_size = 0.0001 if range_size < 1 else 0.01
        buffer = buffer_pips * pip_size
        return {
            "strategy": "asian_breakout",
            "buy_stop": round(range_high + buffer, 5),
            "sell_stop": round(range_low - buffer, 5),
            "stop_loss_pips": round(range_size / pip_size * 0.5, 1),
            "tp1_pips": round(range_size / pip_size * 1.0, 1),
            "tp2_pips": round(range_size / pip_size * 1.5, 1),
            "range_size_pips": round(range_size / pip_size, 1),
            "valid": range_size / pip_size < 40,  # Skip if range too wide
            "best_time": "07:00-09:00 UTC (London open)",
            "best_pairs": ["GBPJPY", "EURJPY", "USDJPY", "GBPUSD"],
        }

Read the full file on GitHub · 92 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 92 lines · 66 tokens per session scan A 8f1855e39e7b

Subscribe to this mod's changes

asian-session-scalper is a skill published in the GitHub repository mahmoud20138/Tradecraft (15 stars, last pushed 4mo ago), licensed MIT. It adds 66 tokens to every session and 1,100 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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