first 100 trades training lab

    1

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

    $5

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    Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+20 more

    first 100 trades training lab

    Example session with this skill installed

    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.

    • Read your context and instructions
    • Compiled the first 100 trades

    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

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

    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

    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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    Security scanned

    Passed our 8-point scan before listing

    Fresh listing

    Recently published to Agensi

    30-day refund

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    Trust & safety

    Security scanned

    Verified clean 17 days ago

    • Passed all security checks, Safe to install

    Listed17 days ago

    Frequently Asked Questions