Bitfunded · reference
1-Step 4% / 6% static · 2-Step 5% / 10%
Where troid's ledger runs. Each rule's source and read date is on troid's compare.
Bitfunded challenges · affiliate link · their promos apply here
Most funded accounts fail on position size, not entries. troid computes both of your loss ceilings, reports which one actually binds, and sizes the trade net of fees.
troid's desk · size a trade
Firms · alphabetical · every firm troid lists, no cap
Bitfunded is the reference firm because troid verified it first and most completely, not because it ranks highest. Each rule on troid's compare shows the firm document and the date troid read it, or says its source is not yet recorded. Which firm gets verified next follows propfirmmatch's review ranking; the page has no cap. troid is an independent affiliate of the firms it compares; where a code is shown it's cheaper through the affiliate link, where it isn't it's the same price. troid computes, you choose.
of prop-firm failures are loss-limit breaches, most inside the first week. Firms report failures trace to size, not strategy selection.
of accounts blow up within a year at a professional-grade +0.35R edge, risking 1% with no cap on remaining budget. Under a cap, zero.
On a $100k 1-Step, below this equity the 6% static floor binds instead of the 4% daily. That is $2,000 from the start — half of one bad day.
quota × (1 − max% + daily%) = $100,000 × (1 − 6% + 4%)Computes both loss ceilings and reports the binding one. Sizes positions net of the 0.04%-per-side fee. Checks trades against firm rules — the ten-day maximum hold, the margin concentration limit, the five-day minimum. Works across every challenge type and every asset the firm lists.
Publish trade signals. Place orders. Touch your credentials. Sell you a strategy.
TROID.md is troid's rules and arithmetic as one file — paste it into any assistant as a system prompt. The MCP server does the same for Claude Desktop or Cursor, with exact arithmetic.
Every figure here is arithmetic you can check.
verify_claims.py in the repo re-derives each published number from first
principles and tags it by confidence tier — derived, sourced, modelled, or measured.
A measured number is never stated as fact.