Transparent Matching Engine

Our transparent matching engine delivers personalization and fair recommendations so you can find your perfect prop firm: unbiased, data-driven, and focused entirely on your needs.

Our Core Philosophy

Why our matching is different

At FundedHub, we believe you deserve the truth, not just a list of advertisers. Our matching engine is built to solve one problem: finding the prop firm that actually fits your trading style.

We analyze distinct data points for every firm, from hidden rules and drawdown types to scaling plans and payout speeds. When we recommend a firm, it’s because our algorithm calculated it as the best statistical fit for your profile, not because they paid us to say so.

Data-Driven Precision

We don't guess. We process complex rule combinations to ensure compatibility. If a firm's volatility rules conflict with your scalping strategy, we filter it out instantly.

User-Centric Focus

Your goals dictate the results. Whether you need high leverage, no time limits, or specific news trading permissions, our engine prioritizes your requirements above all else.

Unbiased Ranking

No pay-to-win. We never boost a firm's ranking just because they pay more. The "best" firm is simply the one that scores highest against your personal criteria.

How Your Privacy Choices Affect Results

With Marketing Tracking (Recommended)

When you enable tracking, we create a secure, anonymous preference profile for you. This allows our algorithm to "learn" what you value, refining suggestions based on what you click, compare, and view.

Your Advantage

  • Smarter Filtering: We automatically hide firms that don't match your implicit preferences.
  • Tailored Suggestions: Discover hidden gems that match users with similar profiles to yours.

Without Tracking

If you disable cookies, we cannot build a profile for you. We respect this choice fully. In this mode, we rely on general user profiles and your explicit filter inputs only.

The Trade-off

  • Generic Matching: Results are based on "average" user needs, which might not fit your specific niche.
  • Less Precision: You may need to manually filter out more irrelevant options.