recipe-paper-strategy-backtest
Backtest a trading strategy using paper trading against live prices.
Best use case
recipe-paper-strategy-backtest is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Backtest a trading strategy using paper trading against live prices.
Teams using recipe-paper-strategy-backtest should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/kraken-official-recipe-paper-strategy-backtest/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How recipe-paper-strategy-backtest Compares
| Feature / Agent | recipe-paper-strategy-backtest | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Backtest a trading strategy using paper trading against live prices.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
Related Guides
SKILL.md Source
# Paper Strategy Backtest > **PREREQUISITE:** Load the following skill to execute this recipe: `kraken-paper-strategy` Run a strategy through multiple paper sessions to validate consistency before live deployment. ## Important: Paper Results Overstate Live Performance Paper trading fills at the exact quoted price with no fees, no slippage, and no partial fills. Live trading on Kraken incurs maker/taker fees (0.16%/0.26% at base tier), slippage on market orders, and possible partial fills on limit orders. When comparing session results in step 9 below, subtract at least 0.26% per fill from paper returns to get a more realistic estimate. A strategy that is only marginally profitable on paper is likely unprofitable live. ## Steps 1. Define strategy parameters (pair, entry/exit rules, position size) 2. Initialize paper account: `kraken paper init --balance 10000 -o json 2>/dev/null` 3. Run session 1: execute strategy logic using paper buy/sell commands 4. Record session 1 results: `kraken paper status -o json 2>/dev/null` + `kraken paper history -o json 2>/dev/null` 5. Reset: `kraken paper reset -o json 2>/dev/null` 6. Run session 2 with same parameters at a different time (different market conditions) 7. Record session 2 results 8. Repeat for 3-5 sessions minimum 9. Compare results: win rate, average P&L per trade, max drawdown, Sharpe-like ratio 10. If results are consistent and positive, the strategy is a candidate for live promotion 11. If results vary wildly, adjust parameters and re-test
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