strategy to pine bot blueprint

    by nowrich

    1

    Converts natural language trading rules into implementation-ready Pine Script v5 technical blueprints.

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    Works with the AI tools you already use

    CClaude CodeCCursorCCodex CLIGGitHub CopilotGGemini CLI+17 more

    See it in action

    You say

    Create a blueprint for a strategy that buys when the 20 EMA crosses the 50 EMA on the 1h chart. Use a 2% stop loss and 4% take profit. Risk 1% per trade.

    Your agent does

    Pine Script Strategy Blueprint: EMA Crossover

    Long Entry: ta.crossover(ta.ema(close, 20), ta.ema(close, 50)) Exit Logic: strategy.exit("Exit", stop=strategy.position_avg_price * 0.98, limit=strategy.position_avg_price * 1.04) Sizing: size = (strategy.equity * 0.01) / (close * 0.02)

    What you get

    Formalize discretionary rules into implementation-ready logic specifications.Map plain-text triggers to exact Pine Script v5 functions and variables.Define precise position sizing and risk management formulas for backtesting.Standardize alert and session handling for TradingView strategies.

    About this skill

    The problem

    Translating a trading idea from plain English into precise code often leads to logic errors, missed edge cases, and failed backtests. Developers and traders lose hours debugging ambiguous entry rules or incorrect position sizing math in TradingView.

    What it does

    • Extracts specific trading parameters like direction, entry/exit signals, and session constraints from natural language.
    • Maps plain-language phrases to exact Pine Script v5 boolean expressions and functions.
    • Generates a structured blueprint covering entry/exit logic, alerts, and backtesting requirements.
    • Identifies missing critical data points like order types, slippage, and timezone requirements before implementation.
    • Calculates precise position sizing formulas based on equity, risk, or fixed quantities.

    Frameworks & tools

    TradingView Pine Script v5, technical analysis indicators, and TradingView backtesting engine settings.

    Why this beats prompting it yourself

    Generic LLMs often hallucinate Pine Script syntax or omit crucial strategy settings like commission and slippage. This skill enforces a rigorous specification process that ensures every logical decision point is documented and Pine-ready before a single line of code is written.

    Use cases

    • Convert a discretionary trading system into a formal algorithmic specification.
    • Audit a trading idea for logical gaps like missing stop-losses or session rules.
    • Standardize strategy requirements for outsourced Pine Script development.
    • Generate technical documentation for existing TradingView strategies.

    Known limitations

    Produces a detailed technical specification rather than a complete .pine file by default. Requires the user to provide or approve specific indicator parameters for accurate mapping.

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

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    Recently published to Agensi

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