Trailing Stops

Community

Bhala-Srinivash

trailing-stops

Trailing stop strategies to lock in profits on NSE/BSE equity positions. Covers ATR trail, structure trail, MA trail, chandelier exit, and the recommended hybrid approach. Use when the user asks: "how to trail my stop", "trailing stop for [stock]", "lock in profits", "when to move stop to breakeven", "chandelier exit", "protect my gains", or any question about dynamically adjusting stop-losses as a trade moves in favor.

Overview

Publisher	Bhala-Srinivash
Repository	`nse-trading-skills`
Skill name	`trailing-stops`
Stars	59
Forks	25
Bundled files	Instructions only
License	MIT
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by Bhala-Srinivash on GitHub. Read the source before you install it.

Installation

Install the Trailing Stops AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/Bhala-Srinivash/nse-trading-skills/tree/master/trailing-stops
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/Bhala-Srinivash/nse-trading-skills.git /tmp/nse-trading-skills
mkdir -p .claude/skills
cp -r /tmp/nse-trading-skills/trailing-stops .claude/skills/trailing-stops

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Trailing Stops in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Trailing Stops on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Trailing Stops is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Trailing Stops

Once a trade is profitable, trailing stops protect your gains while letting winners run.

Prerequisites

No dependencies required. Provide entry, current price, and ATR manually. Enhanced with Groww MCP (live ATR, candles, MAs) or yfinance.

Data Needed

Entry price and current price: Known or from get_quotes_and_depth
ATR(14): get_historical_technical_indicators from Groww, or user-provided
Recent swing lows/highs: fetch_historical_candle_data (daily)
Moving averages: SMA20, EMA50 from indicators
Initial risk (1R): Entry - original stop-loss

The Hybrid Approach (Recommended)

This progressive system adapts as the trade matures:

Trade Stage	Profit Level	Trailing Method
Just entered	0 to 1R	Fixed stop — don't trail yet, use initial stop-loss
Early profit	1R gained	Move to breakeven — stop at entry price (eliminates risk)
Building profit	2R gained	ATR trail — highest close minus ATR(14) × 1.5
Strong runner	3R+ gained	Structure trail — below most recent swing low

This works because:

Below 1R: Moving stop too early gets you shaken out on noise
At 1R: Breakeven means you can't lose money — psychological freedom to hold
At 2R: ATR trail gives the stock room to breathe while protecting most profit
At 3R+: Structure trail is tighter, appropriate when you have a large cushion

Individual Methods

ATR Trail


Trailing stop = Highest close since entry - ATR(14) × multiplier
Multiplier: 1.5 (tight), 2.0 (standard), 3.0 (loose)

Recalculate daily at market close. Only move stop up, never down.

Structure Trail


Trailing stop = Below the most recent higher low

Identify swing lows on the daily chart. Each new higher low becomes the new stop reference. Best for stocks making clear stair-step patterns.

Moving Average Trail


Aggressive: Trail below SMA20 (for fast trends)
Moderate: Trail below EMA50 (for steady trends)
Conservative: Trail below SMA200 (for long-term holds)

Use closing price vs MA — if daily close is below the MA, exit next day.

Chandelier Exit


Trailing stop = Highest high since entry - ATR(14) × 3.0

More aggressive than standard ATR trail. Good for volatile runners where you want to ride big swings.

Trailing Stop Rules

Only move up, never down — a trailing stop is a ratchet
Check daily at market close — don't adjust intraday (noise)
Use closing prices for triggers — ignore intraday wicks
When stop is hit: exit at next day's open, no exceptions
Don't overtighten: If you're trailing too tight, you'll get stopped out on normal pullbacks. Give the stock room proportional to its ATR.

Choosing Your Method

Stock Behavior	Best Trail Method
Strong uptrend, clear swing lows	Structure trail
Trending but volatile	ATR trail (2.0×) or Chandelier
Steady grinder, low volatility	MA trail (EMA50)
Explosive mover, unsure of top	Chandelier exit (3.0× ATR)
Long-term investment	MA trail (SMA200)

Frequently asked questions

What does the Trailing Stops AI skill do?

Why use Trailing Stops on TypingMind?

Because you install it once and use it with any model. Trailing Stops is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Trailing Stops in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Bhala-Srinivash/nse-trading-skills/tree/master/trailing-stops. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Trailing Stops?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Trailing Stops?

As many as you like. As long as a model supports skills, you can use Trailing Stops with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Trailing Stops AI skill free?

Yes. It is published on GitHub by Bhala-Srinivash under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Trailing Stops

Prerequisites

Data Needed

The Hybrid Approach (Recommended)

Individual Methods

ATR Trail

Structure Trail

Moving Average Trail

Chandelier Exit

Trailing Stop Rules

Choosing Your Method

Frequently asked questions

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