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stop-loss-strategies止损策略

Agent Skill

stop-loss-strategies 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

588

周安装

24

GitHub Stars

14

下载量

188
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:stop-loss-strategies(止损策略)
来源仓库:https://github.com/bhala-srinivash/nse-trading-skills
仓库路径:skills/stop-loss-strategies
安装命令:
npx skills add https://github.com/bhala-srinivash/nse-trading-skills --skill stop-loss-strategies
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/bhala-srinivash/nse-trading-skills --skill stop-loss-strategies

简介

stop-loss-strategies 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。

  • 它可结合来源仓库、安装命令和原始 README 继续核验具体用法。
  • 安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。
  • 安装命令:npx skills add https://github.com/bhala-srinivash/nse-trading-skills --skill stop-loss-strategies
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI。

SKILL.md

Stop-Loss Strategies

A stop-loss is not optional. Every position needs one before entry. The purpose is to cap your maximum loss — not to predict where price will go.

Prerequisites

No dependencies required. Provide entry price and key levels manually. Enhanced with Groww MCP (candles, ATR, MAs) or yfinance (pip install yfinance).

Data Needed

  1. Entry price: Known or planned
  2. Recent candles: fetch_historical_candle_data (daily, last 60 days) or user-provided levels
  3. ATR(14): get_historical_technical_indicators from Groww, or calculate manually
  4. Key S/R levels: From technical-analysis skill or swing highs/lows
  5. Moving averages: SMA20, SMA50, SMA200

Stop Type Selection

MethodBest ForHow to Calculate
Structure-basedSwing trades, clear chart patternsBelow recent swing low (long) or above swing high (short)
ATR-basedVolatile stocks, no clear structureEntry - ATR(14) × 1.5 to 2.0
Support/ResistanceRange-bound markets, clear levelsBelow key support level + buffer
Moving AverageTrend-following tradesBelow SMA20 (aggressive) or SMA50 (conservative)

Structure-Based (Preferred)

Find the most recent swing low (for longs) that, if broken, would invalidate your trade thesis.

Stop = Recent swing low - buffer
Buffer = 0.5% for large-caps, 1% for mid/small-caps

ATR-Based

Adapts to the stock's natural volatility:

Stop (long) = Entry - ATR(14) × multiplier
Stop (short) = Entry + ATR(14) × multiplier

Multiplier: 1.5 (tight) to 2.0 (standard) to 2.5 (loose)

Support/Resistance-Based

Place stop just below a confirmed support level:

Stop = Support level × (1 - buffer%)
Buffer: 0.5% large-cap, 1.0% mid/small-cap

Only use levels with at least 2 historical touches.

Moving Average-Based

For trend-following positions:

Aggressive: Stop below SMA20 (for short-term trends)
Moderate: Stop below SMA50 (for medium-term trends)
Conservative: Stop below SMA200 (for long-term holds)

Best when MA is clearly sloping in your direction.

Buffer Rules

  • Round stop to nearest Rs.5 or Rs.10 for cleaner levels
  • Use closing price as trigger, not intraday wicks (unless day trading)
  • Add extra buffer if the stock has a history of stop-hunting wicks
  • For illiquid stocks (avg volume < 50K/day), use wider buffers (1.5-2%)

Hard Rules

These are non-negotiable:

  1. Max loss per trade: 2% of capital (1% if using leverage)
  2. Never move stop further away — only tighten or leave unchanged
  3. If stop hits: exit immediately at next open. No "let me wait for close"
  4. Pre-set the stop: Decide before entering. Don't adjust based on emotions after entry
  5. No mental stops: Use actual stop-loss orders on Groww if possible, or set hard price alerts

Stop Validation

Before finalizing, check:

  • Is the stop beyond normal noise? (At least 1× ATR away from entry)
  • Does the position size at this stop keep risk within limits?
  • Is the R:R ratio still acceptable? (→ check with risk-reward-ratio skill)
  • Is the stop below a meaningful technical level, not just a round number?

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

36.06%
按下载量换算68

Claude

29.37%
按下载量换算55

Cursor

19.19%
按下载量换算36

Gemini CLI

8.88%
按下载量换算17

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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