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Kraken Stop Take Profit

Organization
krakenfx
kraken-stop-take-profit

Manage stop-loss and take-profit orders for risk-bounded positions.

Overview

Publisherkrakenfx
Repositorykraken-cli
Skill namekraken-stop-take-profit
Stars
754
Forks
104
Bundled files
Instructions only
LicenseMIT
Links
  • 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 krakenfx on GitHub. Read the source before you install it.

Installation

Install the Kraken Stop Take Profit AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/krakenfx/kraken-cli/tree/main/skills/kraken-stop-take-profit
  4. 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.
2

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/krakenfx/kraken-cli.git /tmp/kraken-cli
mkdir -p .claude/skills
cp -r /tmp/kraken-cli/skills/kraken-stop-take-profit .claude/skills/kraken-stop-take-profit
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Kraken Stop Take Profit 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 Kraken Stop Take Profit 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 Kraken Stop Take Profit 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.

kraken-stop-take-profit

Use this skill for:

  • placing stop-loss orders to limit downside
  • placing take-profit orders to lock in gains
  • building bracket orders (entry + stop + target)
  • trailing stops that follow a rising price

Simple Stop-Loss

After buying, place a stop-loss below entry:

bash
# Entry
kraken order buy BTCUSD 0.01 --type limit --price 60000 -o json 2>/dev/null

# Stop-loss (triggers market sell if price drops to 57000)
kraken order sell BTCUSD 0.01 --type stop-loss --price 57000 -o json 2>/dev/null

Simple Take-Profit

Place a take-profit above entry:

bash
# Take-profit (triggers market sell if price rises to 65000)
kraken order sell BTCUSD 0.01 --type take-profit --price 65000 -o json 2>/dev/null

Bracket Order (Entry + Stop + Target)

Place all three as separate orders:

bash
# 1. Entry
kraken order buy BTCUSD 0.01 --type limit --price 60000 -o json 2>/dev/null

# 2. Stop-loss
kraken order sell BTCUSD 0.01 --type stop-loss --price 57000 -o json 2>/dev/null

# 3. Take-profit
kraken order sell BTCUSD 0.01 --type take-profit --price 65000 -o json 2>/dev/null

When one exit fills, cancel the other to avoid double exposure:

bash
kraken order cancel <OTHER_TXID> -o json 2>/dev/null

Stop-Loss Limit (Tighter Control)

A stop-loss-limit triggers a limit order instead of market, giving price control but risking no fill in fast moves:

bash
kraken order sell BTCUSD 0.01 --type stop-loss-limit --price 57000 --price2 56800 -o json 2>/dev/null

--price is the trigger, --price2 is the limit price for the resulting order.

Trailing Stop

Follows the market up, sells on reversal:

bash
# Trail $500 below the high
kraken order sell BTCUSD 0.01 --type trailing-stop --price +500 -o json 2>/dev/null

As BTC rises from 60000 to 65000, the stop moves from 59500 to 64500. On a $500 drop from any high, it triggers.

Futures Stop-Loss

bash
kraken futures order sell PF_XBTUSD 1 --type stop --stop-price 57000 --trigger-signal mark --reduce-only -o json 2>/dev/null

Use --trigger-signal mark or index to avoid stop hunts on last-trade wicks. Use --reduce-only to prevent the stop from opening a short.

Management Loop

Monitor stops after placement:

bash
kraken open-orders -o json 2>/dev/null

Stream execution updates to detect when a stop triggers:

bash
kraken ws executions -o json 2>/dev/null

When one side of a bracket fills, immediately cancel the other.

Hard Rules

  • Never place live stop/take-profit orders without explicit human approval.
  • Always cancel the opposite leg when one side of a bracket fills.
  • Use --reduce-only on futures exits to prevent accidental position flips.
  • Validate all orders before submission with --validate.
  • If you hit a mismatch between what you are trying to do and the CLI's interface or responses — including a mismatch between this skill and the installed CLI version's contract — feel free to submit feedback with kraken feedback.

Frequently asked questions

What does the Kraken Stop Take Profit AI skill do?

Manage stop-loss and take-profit orders for risk-bounded positions.

Why use Kraken Stop Take Profit on TypingMind?

Because you install it once and use it with any model. Kraken Stop Take Profit 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 Kraken Stop Take Profit in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/krakenfx/kraken-cli/tree/main/skills/kraken-stop-take-profit. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Kraken Stop Take Profit?

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 Kraken Stop Take Profit?

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

Is the Kraken Stop Take Profit AI skill free?

Yes. It is published on GitHub by krakenfx 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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