rule based strategy specification builder

    1

    Converts qualitative trading ideas into precise, institutional-grade systematic rule sets and specifications.

    $5

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    Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+22 more

    rule based strategy specification builder

    Example session with this skill installed

    I want to build a strategy that buys the 20-day breakout in tech stocks, but only if volatility is low, and exits after a few weeks or if the trend reverses.

    • Read your context and instructions
    • Compiled the rule based strategy

    ENTRY (LONG):
    IF close > highest(high, 20) AND ATR(14) < SMA(ATR(14), 50) * 0.8 THEN BUY next open.

    EXIT

    • Initial Stop: 2 * ATR below entry.
    • Time Exit: Close after 15 bars.
    • Trailing: If price > 3 * ATR gain, move stop to breakeven.

    RISK

    • 1% equity risk per trade.

    Connects securely to your tools. The creator never sees your data.

    What you get

    Formalize entry and exit logic with unambiguous logical operators.Define risk parameters including position sizing and drawdown limits.Establish backtesting validation plans and performance benchmarks.Document implementation requirements for automated execution.

    About this skill

    The problem

    Vague trading ideas lead to inconsistent execution and impossible backtesting. Developers often waste weeks coding strategies based on ambiguous logic that fails in production due to undefined edge cases or slippage assumptions.

    What it does

    • Converts qualitative market hypotheses into precise, machine-readable logic using IF-THEN syntax.
    • Generates comprehensive risk management frameworks including position sizing, drawdown limits, and correlation constraints.
    • Formalizes testing protocols with specific walk-forward methods, transaction cost models, and slippage assumptions.
    • Defines operational implementation rules for execution platforms, including kill switches and error handling.
    • Identifies and documents critical edge cases like liquidity gaps, contract rollovers, and data staleness.

    Why this beats prompting it yourself

    A simple prompt often misses the "boring" parts of professional trading like trade-level t-statistics or kill switch conditions. This skill enforces a rigorous institutional-grade template that ensures no logic gaps remain for a developer to guess at during implementation.

    Use cases

    • Architecting a systematic trend-following strategy for a crypto trading bot.
    • Standardizing internal documentation for a proprietary trading desk or fund.
    • Converting a manual price-action setup into a verifiable backtesting specification.
    • Preparing a strategy for automated execution on platforms like Interactive Brokers or Binance.

    Known limitations

    Does not provide financial advice or guarantee profitability. Requires the user to provide the initial core hypothesis or edge.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

      Free skills download straight away. Paid skills unlock right after purchase.

    2. 2

      Unzip into your skills folder

      Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.

    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

    Skills folder by agent

    Click the path to copy it. Create the folder if it does not exist yet.

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    Fresh listing

    Recently published to Agensi

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    Trust & safety

    Security scanned

    Verified clean 1 month ago

    • Passed all security checks, Safe to install

    Listed1 month ago

    What's inside

    Frequently Asked Questions