first 100 trades training lab

    by nowrich

    1

    A structured 100-trade simulated practice curriculum with risk limits, journal templates, and progression gates.

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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

    Build a 100-trade practice lab for a mean-reversion strategy on BTCUSD. Use a 1% risk per trade limit and include a progression gate at trade 25 based on profit factor.

    Your agent does

    BTCUSD Mean-Reversion Lab

    Setup Rules

    • Entry: Price touches lower Bollinger Band (20,2) and RSI < 30.
    • Stop: 1.5 ATR below entry.
    • Target: 2.0R or Mean touch.

    Risk Limits

    • Max Trade Risk: 1% balance.
    • Daily Stop: 3%.

    Phase 1 Gate (Trade 25)

    • Profit Factor > 1.2
    • Discipline > 4/5

    What you get

    Develop a professional trading journal with R-multiple and emotional tracking.Enforce strict risk management rules to prevent account blowout during practice.Establish objective criteria for transitioning from simulation to live trading.Audit strategy performance through daily, weekly, and milestone review cycles.

    About this skill

    The problem

    Traders often fail because they lack a disciplined process, jumping into live markets without testing their strategy or emotional control. Raw practice without structure leads to repetitive mistakes and a lack of objective data to improve performance.

    What it does

    • Generates a complete simulated trading curriculum with strict entry, exit, and invalidation rules.
    • Establishes hard risk limits including per-trade caps, daily loss stops, and maximum drawdown gates.
    • Defines a multi-stage progression system that requires meeting specific win rate and discipline metrics to advance.
    • Creates a structured journaling framework with pre-trade checklists, emotional tracking, and R-multiple analysis.
    • Sets up a mandatory review cadence for daily, weekly, and milestone-based performance audits.

    Why this beats prompting it yourself

    This skill provides a pre-configured architecture for professional-grade trade logging and risk management that standard prompts miss. It enforces specific mathematical position sizing and progression gates, ensuring you build a data-backed trading plan rather than a simple list of trades.

    Use cases

    • Building a repeatable trading process before risking real capital in live markets.
    • Backtesting a new technical strategy through 100 disciplined, simulated iterations.
    • Creating an accountability framework for student traders or internal trading desks.
    • Developing emotional awareness by tracking psychological states alongside trade outcomes.

    Known limitations

    Requires the user to manually capture and organize chart screenshots. Effectiveness depends on the user's honesty in reporting simulated slippage and discipline scores.

    How to install

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

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