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Kraken Dca Strategy

Organization
krakenfx
kraken-dca-strategy

Dollar cost averaging with scheduled buys and performance tracking.

Overview

Publisherkrakenfx
Repositorykraken-cli
Skill namekraken-dca-strategy
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 Dca Strategy 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-dca-strategy
  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-dca-strategy .claude/skills/kraken-dca-strategy
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Kraken Dca Strategy 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 Dca Strategy 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 Dca Strategy 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-dca-strategy

Use this skill for:

  • implementing a recurring buy strategy at fixed intervals
  • tracking average cost basis over time
  • comparing DCA performance against lump-sum entry
  • running DCA simulations in paper mode first

Core Concept

Dollar cost averaging buys a fixed dollar amount of an asset at regular intervals regardless of price. This reduces timing risk and smooths entry cost over volatile periods.

Paper DCA Loop (Test First)

Always validate the strategy in paper mode before going live.

The paper buy command takes base-asset volume, not dollar amount. Calculate volume first:

bash
kraken workspace create sandbox --capital 10000 --mode paper --currency USD -o json 2>/dev/null
export KRAKEN_WORKSPACE=sandbox

# Calculate BTC volume for a $100 buy at current price
PRICE=$(kraken ticker BTCUSD -o json 2>/dev/null | jq -r '.[].last_price')
VOLUME=$(echo "scale=8; 100 / $PRICE" | bc)

# Simulate weekly buys
kraken paper buy BTCUSD $VOLUME -o json 2>/dev/null
kraken workspace status -o json 2>/dev/null

# Repeat buy, check status each iteration
kraken paper buy BTCUSD $VOLUME -o json 2>/dev/null
kraken workspace status -o json 2>/dev/null

kraken paper history -o json 2>/dev/null

Live DCA Single Buy

Each interval, the agent executes one market buy for the fixed amount:

  1. Check current price:
    bash
    kraken ticker BTCUSD -o json 2>/dev/null
  2. Calculate volume from dollar amount (e.g., $100 at current price):
    bash
    PRICE=$(kraken ticker BTCUSD -o json 2>/dev/null | jq -r '.[].last_price')
    VOLUME=$(echo "scale=8; 100 / $PRICE" | bc)
  3. Validate the order:
    bash
    kraken order buy BTCUSD $VOLUME --type market --validate -o json 2>/dev/null
  4. Execute (requires human approval):
    bash
    kraken order buy BTCUSD $VOLUME --type market -o json 2>/dev/null
  5. Log the trade for cost basis tracking.

Cost Basis Tracking

After each buy, query trade history to compute running average:

bash
kraken trades-history --consolidate-taker -o json 2>/dev/null

The agent should maintain a running total:

  • Total invested (sum of all dollar amounts)
  • Total units acquired (sum of all volumes)
  • Average cost = total invested / total units
  • Current value = total units * current price
  • Unrealized P&L = current value - total invested

Limit-Order DCA Variant

Instead of market buys, place limit orders slightly below the current price for better fills:

bash
PRICE=$(kraken ticker BTCUSD -o json 2>/dev/null | jq -r '.[].bid_price')
LIMIT=$(echo "scale=2; $PRICE * 0.998" | bc)
VOLUME=$(echo "scale=8; 100 / $LIMIT" | bc)
kraken order buy BTCUSD $VOLUME --type limit --price $LIMIT -o json 2>/dev/null

Check fill status at the next interval. Cancel unfilled orders before placing new ones:

bash
kraken open-orders -o json 2>/dev/null
kraken order cancel <UNFILLED_TXID> -o json 2>/dev/null

Multi-Asset DCA

Split a fixed budget across multiple assets (e.g., 60% BTC, 30% ETH, 10% SOL):

bash
# $100 total: $60 BTC, $30 ETH, $10 SOL
# Calculate volumes for each, then place orders sequentially

Scheduling

The CLI does not include a built-in scheduler. Agents should use external scheduling (cron, task scheduler, or the agent's own loop timer) to trigger DCA buys at the chosen interval (daily, weekly, bi-weekly, monthly).

Hard Rules

  • Never execute live DCA buys without explicit human approval for the strategy and per-trade confirmation (unless operating at autonomy level 4+).
  • Always paper-test the DCA loop first.
  • Track cost basis after every buy; do not lose history.
  • Cancel stale limit orders before placing new ones to avoid duplicate exposure.
  • 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 Dca Strategy AI skill do?

Dollar cost averaging with scheduled buys and performance tracking.

Why use Kraken Dca Strategy on TypingMind?

Because you install it once and use it with any model. Kraken Dca Strategy 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 Dca Strategy in TypingMind?

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

Which AI models can use Kraken Dca Strategy?

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 Dca Strategy?

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

Is the Kraken Dca Strategy 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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