·backtesting-py-oracle
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backtesting-py-oracle

backtesting.py configuration for SQL oracle validation and range bar pattern backtesting. Use when running backtesting.py against ClickHouse SQL results, configuring Backtest() constructor, handling overlapping trades, multi-position mode, rolling quantile NaN handling, trade sorting, or oracle gate validation. TRIGGERS - backtesting.py, Backtest(), hedging, exclusive_orders, multi-position, overlapping trades, oracle validation, SQL vs Python, trade comparison, entry price mismatch, signal count mismatch, rolling quantile NaN, ExitTime sort, stats._trades, gen600_strategy, champion_strategy, gen300_strategy, barrier setup.

45Installs·1Trend·@terrylica

Installation

$npx skills add https://github.com/terrylica/cc-skills --skill backtesting-py-oracle

How to Install backtesting-py-oracle

Quickly install backtesting-py-oracle AI skill to your development environment via command line

  1. Open Terminal: Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.)
  2. Run Installation Command: Copy and run this command: npx skills add https://github.com/terrylica/cc-skills --skill backtesting-py-oracle
  3. Verify Installation: Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw

Source: terrylica/cc-skills.

SKILL.md

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Configuration and anti-patterns for using backtesting.py to validate ClickHouse SQL sweep results. Ensures bit-atomic replicability between SQL and Python trade evaluation.

Companion skills: clickhouse-antipatterns (SQL correctness, AP-16) | sweep-methodology (sweep design) | rangebar-eval-metrics (evaluation metrics)

Validated: Gen600 oracle verification (2026-02-12) — 3 assets, 5 gates, ALL PASS.

backtesting.py configuration for SQL oracle validation and range bar pattern backtesting. Use when running backtesting.py against ClickHouse SQL results, configuring Backtest() constructor, handling overlapping trades, multi-position mode, rolling quantile NaN handling, trade sorting, or oracle gate validation. TRIGGERS - backtesting.py, Backtest(), hedging, exclusive_orders, multi-position, overlapping trades, oracle validation, SQL vs Python, trade comparison, entry price mismatch, signal count mismatch, rolling quantile NaN, ExitTime sort, stats._trades, gen600_strategy, champion_strategy, gen300_strategy, barrier setup. Source: terrylica/cc-skills.

Facts (cite-ready)

Stable fields and commands for AI/search citations.

Install command
npx skills add https://github.com/terrylica/cc-skills --skill backtesting-py-oracle
Category
</>Dev Tools
Verified
First Seen
2026-03-07
Updated
2026-03-10

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Quick answers

What is backtesting-py-oracle?

backtesting.py configuration for SQL oracle validation and range bar pattern backtesting. Use when running backtesting.py against ClickHouse SQL results, configuring Backtest() constructor, handling overlapping trades, multi-position mode, rolling quantile NaN handling, trade sorting, or oracle gate validation. TRIGGERS - backtesting.py, Backtest(), hedging, exclusive_orders, multi-position, overlapping trades, oracle validation, SQL vs Python, trade comparison, entry price mismatch, signal count mismatch, rolling quantile NaN, ExitTime sort, stats._trades, gen600_strategy, champion_strategy, gen300_strategy, barrier setup. Source: terrylica/cc-skills.

How do I install backtesting-py-oracle?

Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/terrylica/cc-skills --skill backtesting-py-oracle Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw

Where is the source repository?

https://github.com/terrylica/cc-skills