prop firm comparison auditor

    by nowrich

    1

    Audits and compares proprietary trading firms across drawdown models, payout terms, and rule transparency.

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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

    Compare Topstep, FTMO, and MyFundedFX for a swing trader using MT5 with a $100k account size. Focus on drawdown models and news trading rules.

    Your agent does

    | Firm | Drawdown Model | News Rules | MT5 Support | Score | |------|----------------|------------|-------------|-------| | FTMO | Max Daily (Static) | Restricted | Yes | 4.8 | | Topstep | Trailing (EOH) | Permitted | Yes | 4.2 | | MFFX | Max (Static) | Permitted | Yes | 4.5 |

    FTMO offers the most stable drawdown for swing positions.

    What you get

    Identify hidden drawdown traps in firm contracts.Compare profit split and payout frequency across multiple firms.Evaluate platform restrictions for specific Expert Advisors (EAs).Assess firm transparency and rule clarity for new traders.

    About this skill

    The problem

    Traders often struggle to decode the complex, fine-print rules of proprietary trading firms. Marketing claims frequently obscure high-water mark drawdown traps, restrictive payout schedules, and hidden fees that can disqualify a strategy before it starts.

    What it does

    • Extracts and normalizes data from official prop firm documentation, websites, and public policy logs.
    • Audits drawdown models to differentiate between static, trailing equity, and balance-based thresholds.
    • Standardizes payout conditions including frequency, profit splits, and minimum trading day requirements.
    • Scores firm transparency and trader-friendliness on a 1–5 scale across seven critical dimensions.
    • Identifies platform-specific limitations regarding EAs, hedging, news trading, and scalping.

    Why this beats prompting it yourself

    General LLMs often hallucinate outdated fee structures or miss subtle nuances in drawdown calculations. This skill follows a strict normalization workflow to ensure percentages and timeframes are directly comparable, flagging undocumented policies as risks rather than ignoring them.

    Use cases

    • Comparing multiple prop firms to find the best fit for a specific algorithmic trading strategy.
    • Auditing a single firm's rulebook to identify hidden "forbidden practices" before purchasing an account.
    • Benchmarking fee-to-drawdown ratios across the industry to find the highest capital efficiency.

    How to install

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

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