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Pine Backtester

Checked
traderspost·vlatest·other

Pine Backtester analyzes historical trading data to evaluate strategy performance and optimize parameters for future simulations.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add traderspost/pinescript-agents --skill pine-backtester -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

traderspost

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned traderspost/pinescript-agents at ebc382f88b.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
ebc382f88b
Manifest
skills/pine-backtester/SKILL.md
Scanned
2 files, 839 lines
Copies in repo
2 — all of them scanned
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

The pine-backtester skill enables AI agents to execute and analyze Pine Script code directly within TradingView, allowing for automated strategy testing without manual intervention. It bridges the gap between natural language requests and complex quantitative analysis by compiling and running scripts in a secure environment.

When to use it

  • Rapidly validate new trading hypotheses by converting text-based ideas into executable backtests instantly.
  • Iterate on algorithmic strategies by quickly adjusting parameters and observing performance metrics across different market conditions.
  • Automate the generation of performance reports, including drawdown analysis and equity curves, for specific asset classes.
  • Collaborate with non-technical stakeholders by translating complex strategy logic into clear, visualized historical data.

Key capabilities

  • Direct compilation and execution of Pine Script code.
  • Automated generation of backtest results and performance statistics.
  • Real-time visualization of equity curves and trade logs within the TradingView interface.
  • Seamless integration with existing TradingWatch charts for context-aware analysis.

Example prompts

  • "Backtest a moving average crossover strategy on Bitcoin using 1-hour candles over the last year."
  • "Run a mean reversion script on EUR/USD and show me the maximum drawdown and total profit factor."
  • "Optimize this Pine Script code to reduce transaction costs and re-run the backtest with the new settings."

Tips & gotchas

Ensure you provide valid, syntactically correct Pine Script code when requesting a backtest, as errors will halt execution. While powerful for historical analysis, remember that past performance does not guarantee future results, so always verify findings against live market data before deploying capital.