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Kraken Basis Trading

Organization
krakenfx
kraken-basis-trading

Capture the spot-futures price spread with delta-neutral basis trades.

Overview

Publisherkrakenfx
Repositorykraken-cli
Skill namekraken-basis-trading
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 Basis Trading 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-basis-trading
  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-basis-trading .claude/skills/kraken-basis-trading
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Kraken Basis Trading 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 Basis Trading 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 Basis Trading 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-basis-trading

Use this skill for:

  • identifying positive basis (futures premium over spot)
  • entering delta-neutral positions (long spot, short futures)
  • monitoring basis convergence
  • closing both legs when basis narrows or contracts expire

Core Concept

When futures trade at a premium to spot (positive basis), you can buy spot and sell futures for the same notional amount. The profit comes from basis convergence as the contract approaches expiry, or from collecting funding on perpetuals. The position is market-neutral: price movement does not affect P&L, only the spread does.

Basis Calculation

bash
SPOT=$(kraken ticker BTCUSD -o json 2>/dev/null | jq -r '.[].last_price')
FUTURES=$(kraken futures ticker PF_XBTUSD -o json 2>/dev/null | jq -r '.ticker.last')
BASIS=$(echo "scale=4; ($FUTURES - $SPOT) / $SPOT * 100" | bc)
echo "Basis: ${BASIS}%"

A positive basis means futures are more expensive than spot (contango). A negative basis means futures are cheaper (backwardation).

Entry (Long Spot + Short Futures)

  1. Check spot price and futures price.
  2. Ensure the basis is attractive (e.g., > 0.5% annualized).
  3. Calculate matched position sizes.
  4. Execute both legs (requires human approval):
bash
# Long spot
kraken order buy BTCUSD 0.01 --type limit --price $SPOT -o json 2>/dev/null

# Short futures (matched notional)
kraken futures order sell PF_XBTUSD 1 --type limit --price $FUTURES -o json 2>/dev/null

Monitoring

Watch basis convergence:

bash
# Periodic check
kraken ticker BTCUSD -o json 2>/dev/null
kraken futures ticker PF_XBTUSD -o json 2>/dev/null

Check positions:

bash
kraken balance -o json 2>/dev/null
kraken futures positions -o json 2>/dev/null

Exit

Close both legs when basis narrows to target:

bash
# Sell spot
kraken order sell BTCUSD 0.01 --type market -o json 2>/dev/null

# Close futures short
kraken futures order buy PF_XBTUSD 1 --reduce-only -o json 2>/dev/null

Risk Considerations

  • Execution risk: legs may fill at different times. The basis can move between fills.
  • Funding risk: on perpetuals, negative funding rates mean the short pays the long, eating into profit.
  • Margin risk: a sharp spot rally increases margin requirement on the short futures leg.
  • Leg risk: if one leg fails to fill, the position is directional, not neutral.

Hard Rules

  • Never enter a basis trade without confirming both legs will execute.
  • Monitor futures margin continuously; a large spot rally can trigger liquidation on the short.
  • Close both legs together; leaving one open converts to a directional bet.
  • Requires human approval for all live entries and exits.
  • 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 Basis Trading AI skill do?

Capture the spot-futures price spread with delta-neutral basis trades.

Why use Kraken Basis Trading on TypingMind?

Because you install it once and use it with any model. Kraken Basis Trading 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 Basis Trading in TypingMind?

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

Which AI models can use Kraken Basis Trading?

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 Basis Trading?

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

Is the Kraken Basis Trading 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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