FundedHub matches you with prop firms by checking your requirements against the documented rules of every firm we track. A firm ranks first because it fits how you trade, never because it paid to.
Compatible means the firm's documents say so. Unknown means they do not, and we tell you that.
For every firm we track distinct data points, from hidden rules and drawdown types to scaling plans and payout speeds. The engine does not read marketing pages: it compares the values as the firm's own documents state them, each with a dated capture behind it.
When we recommend a firm, it is because the algorithm scored it as the best statistical fit for your profile. A statistical fit, not an opinion, and not a placement.
Two inputs, one ranking: what you need, and what the documents say.
Rules decide
The engine processes full rule combinations, not headlines. If a firm's volatility rules conflict with your scalping strategy, it drops out of your results instantly.
Your requirements come first
High leverage, no time limits, permission to trade news: whatever you need, the engine treats it as a requirement to satisfy, not a preference to trade away.
No pay to win
We never boost a firm's ranking because it pays more. The best firm is the one that scores highest against your criteria, nothing else.
What changes is the input, not the engine.
Allow marketing tracking and we keep a preference profile for you: secure, anonymous, and built from what you click, compare and view. The engine uses it to hide firms that do not fit your implicit preferences and to surface firms that worked for users with profiles like yours.
Decline, and no profile is built. We respect that choice fully: the engine then works from your explicit filter inputs and general user profiles. Matching still works, it is just more generic. Results reflect average needs rather than your niche, and you will filter out more by hand.