Start here · Stage 1 · Free
Every funded futures firm offers the same evaluation at multiple account sizes — $25K, $50K, $100K, $150K. The instinct is to pick based on payout potential or ambition. The correct approach is to start with your process: what is your typical stop distance on your planned instrument, and does the formula at the planned tier produce a number large enough to trade one contract without compressing that stop below what your setup requires? The wrong tier does not make the evaluation harder. It makes the evaluation structurally impossible — a different problem entirely.
Part 1 of 4 — Why process-first is the correct selection approach
Picking a tier by account size is a payout decision dressed up as a trading decision. Picking a tier by process output is the only reliable way to start at the correct tier the first time.
A $100K funded futures evaluation sounds like it gives you four times more room than a $25K evaluation. In most cases, the position sizing formula does not scale that way. The trailing drawdown distance on a $100K account is typically $3,000–$3,500. DTF divided by 10 gives a per-trade ceiling of $300–$350. At a $25K account with a $1,500 trailing drawdown, the ceiling is $150. The $100K ceiling is roughly twice the $25K ceiling — not four times. Meanwhile, the profit target at $100K is roughly four times larger in dollar terms and requires more total sessions to reach.
A trader who buys a $100K account expecting $100K-scale flexibility per trade will discover that the formula still restricts them to one or two ES contracts at normal stop widths — not the four or five contracts the account label implies. The account size label is a marketing artifact. The formula output at each tier is the operational reality. See funded futures account sizing by tier for the DTF÷10 and DLL÷4 formula outputs applied at $25K, $50K, $100K, and $150K with per-instrument contract math and the binding constraint crossover formula.
Every tier has two position sizing inputs. The trailing drawdown distance at that tier divided by 10 gives the maximum per-trade risk from the trailing drawdown constraint. The daily loss limit at that tier divided by 4 gives the maximum per-trade risk from the daily loss constraint. The lower of those two values is the effective per-trade ceiling — the one that actually governs what you can put on.
At smaller tiers, the trailing drawdown formula (DTF÷10) is typically the binding input — the trailing drawdown distance grows slowly and produces a tighter ceiling than the DLL formula does. At larger tiers, the relationship can flip. On some $150K evaluations, the DLL grows faster than the trailing drawdown, making DLL÷4 the tighter number. Before purchasing any tier, you need both formula outputs, not just one. If you only check the trailing drawdown formula and the DLL is actually binding, you will find yourself in an evaluation where the pre-session sizing check blocks trades that the trailing drawdown alone would have allowed. See funded futures position sizing for the full two-input formula and why both inputs are required before every session.
The funded futures evaluation account size article covers what five parameters change at each tier, how the four standard tiers compare with representative formula outputs, and the four criteria for a justified upgrade. That article answers "what does each tier give me?" This article answers the prior question: "does my process fit this tier at all?" — and names the three failure patterns that occur when traders skip that check. The two articles are complementary steps in the same selection sequence: run the process-fit check first, then compare tiers using the parameter overview, then confirm the upgrade criteria if scaling up later.
Part 2 of 4 — Three failure patterns from tier-first selection
Structural failures are different from performance failures. A performance failure means your edge did not hold up under evaluation conditions. A structural failure means the tier you chose mathematically cannot accommodate one trade at your normal stop width — so the evaluation was already broken before the first session opened.
This is the clearest structural failure. The binding ceiling at the chosen tier — the lower of DTF÷10 or DLL÷4 — is below the dollar cost of one contract on the planned instrument at the planned stop distance. If one ES contract with a 4-point stop costs $200 in stop risk and the tier's binding ceiling is $150, the formula supports zero ES contracts at that stop. The evaluation cannot be traded with the intended instrument at the intended stop width.
The failure shows up in the first few sessions as a forced choice between three unworkable options: compress the stop below what the setup requires (which fundamentally changes the trade and typically increases stop-outs), switch to a micro-contract on the same instrument (which is a different product with different liquidity and fill characteristics), or simply not take trades that the setup signals (which makes the evaluation impossible to pass on pace). None of these options is a workaround — they are all changes to the process that were forced by picking the wrong tier. The fix is to run the formula check before purchasing, not after the first session. If the ceiling is too low for the intended instrument and stop, move to the next tier up or move to the micro-contract version of the instrument at the current tier.
This failure is subtler because it requires checking both formula inputs separately. At some tiers — particularly where firms set a generous trailing drawdown distance but a tighter DLL — the DTF÷10 formula output supports one contract at your stop, but the DLL÷4 formula output does not. A trader who only checks the trailing drawdown math concludes the tier works. A trader who checks both inputs finds that the DLL is binding and the effective ceiling is below one contract's cost.
For example: a firm with a $50K evaluation might set a $2,500 trailing drawdown (DTF÷10 = $250) but a $1,000 DLL (DLL÷4 = $250). That is a case where both formula outputs are equal — neither binds more than the other. But a different firm might offer a $50K evaluation with a $2,000 trailing drawdown (DTF÷10 = $200) and a $750 DLL (DLL÷4 = $188). Here, DLL÷4 is binding at $188. An ES trader with a 4-point stop ($200) finds the DTF formula suggests the tier works, but the DLL formula says zero viable contracts. The only detection method is to check both inputs at the specific firm's specific ruleset. Firm-level variation in trailing drawdown and DLL amounts at the same account size tier is documented in funded futures firm rule differences — always verify the exact numbers against the firm's current agreement, not an industry average.
The consistency rule caps any single session's contribution to cumulative profit at a percentage of the total — typically 25% to 40%, depending on the firm. If the firm's cap is 25% and your method regularly produces a best-day percentage above 25%, the consistency rule becomes the binding gate on the evaluation — not the profit target and not the minimum trading days. You can be on pace to pass the profit target and still be blocked from requesting a payout because a single above-average session keeps resetting the best-day percentage above the cap. This is not a failure of your edge; it is a mismatch between the firm's rule structure and how your method produces returns.
This failure pattern is specific to firm and method combination, which is why it requires simulation data before tier selection. Run 10 or more simulation sessions using your actual method, record the best-day percentage after each session (best session net profit divided by cumulative net profit), and compare your typical best-day percentage to the firm's consistency cap. If your data shows a best-day percentage consistently above 35% across 10 sessions and the firm's cap is 25%, a different firm with a 40% cap may be a better structural fit even if the account parameters are otherwise identical. The funded futures evaluation simulator article covers how to use simulation data for this check and the four-condition evidence standard for confirming the tier and firm combination before purchasing. The consistency cap variation by firm is detailed in funded futures firm rule differences.
Part 3 of 4 — The tier comparison formula
This is not a general formula from a textbook — it uses the specific firm's trailing drawdown distance and DLL at the specific tier you are evaluating. The same check must be re-run if you switch firms, even at the same account size, because firms vary substantially on both inputs.
Both numbers must come from the firm's current evaluation agreement or ruleset, not from an industry average or a prior year's parameters. Firms update these numbers periodically, and the parameters on a firm's website summary page are not always identical to the parameters in the evaluation agreement. Pull both numbers for every tier you are comparing. If the firm uses an intraday trailing drawdown model — where the floor advances in real time based on the high watermark during the session, not at settlement — note that separately, because it changes the effective DTF mid-session. See funded futures trailing drawdown floor mechanics for the EOD versus intraday model distinction and why the intraday model requires a tighter per-trade ceiling than the EOD model at the same stated DTF.
DTF divided by 10 is the trailing-drawdown-based per-trade ceiling. DLL divided by 4 is the daily-loss-limit-based per-trade ceiling. The lower of the two numbers is the effective per-trade ceiling — the one that governs your actual sizing. Write down which input is binding because it determines which constraint you need to monitor most closely during the evaluation. If DLL÷4 is binding, you must watch the DLL remaining on the dashboard in real time, because a session approaching the DLL boundary will reduce your effective ceiling below the stated formula output. See funded futures two-step position sizing for how this formula applies identically in Phase 1 and Phase 2 evaluations and the three behavioral drift patterns in Phase 2 that change which constraint binds first.
This is: stop ticks × tick value per contract. For the ES (S&P 500 E-mini), tick value is $12.50 per tick and one point is 4 ticks ($50 per point). A 4-point stop on one ES contract costs 16 ticks × $12.50 = $200. For the NQ (Nasdaq 100 E-mini), tick value is $5.00 per tick and one point is 4 ticks ($20 per point). A 20-point stop on one NQ contract costs 80 ticks × $5.00 = $400. For the MNQ (Micro Nasdaq), tick value is $0.50 per tick and one point is 4 ticks ($2 per point). A 30-point stop on one MNQ contract costs 120 ticks × $0.50 = $60. Use the tick size for the specific contract, not an approximation. The per-contract cost is the number you compare directly to the binding ceiling from Step 2.
Binding ceiling ÷ per-contract cost = viable contract count. If the result is less than 1, the tier is not viable for this instrument at this stop width — one contract already exceeds the formula ceiling. If the result is 1 or greater, round down to the nearest whole number to get the actual maximum contract count the formula supports. A result of 2.4 means the formula supports 2 contracts, not 3.
Worked example for an ES trader with a 4-point stop ($200 per contract): At a $25K account with representative parameters (DTF=$1,500, DLL=$1,000) — DTF÷10=$150, DLL÷4=$250, binding=$150; $150÷$200=0.75 → not viable. At a $50K account (DTF=$2,000, DLL=$1,500) — DTF÷10=$200, DLL÷4=$375, binding=$200; $200÷$200=1.0 → 1 contract viable. At a $100K account (DTF=$3,000, DLL=$2,500) — DTF÷10=$300, DLL÷4=$625, binding=$300; $300÷$200=1.5 → 1 contract (floor divide), with the formula supporting a second contract at a 3-point stop. The $50K tier is the correct starting point for this trader — the smallest tier where the formula supports one contract at the intended stop.
Part 4 of 4 — The step-up path: when a tier upgrade is appropriate
The same process-first logic that governs tier selection on the first evaluation also governs upgrade timing. The formula is the signal, not the payout number or the account balance.
The right time to upgrade a tier is when the current tier's binding constraint — DTF÷10 or DLL÷4 — is consistently the reason you are not adding a second contract, not because the setup does not support two contracts or because you lack confidence to size up. If your method's process has evolved to reliably produce two-contract setups, but the formula ceiling at your current tier only supports one contract on your planned instrument, the tier is now the binding factor, not the process.
This shows up specifically as: sessions where a setup signals clearly for two contracts by your method's sizing criteria, you run the formula, and the formula outputs exactly one contract as the ceiling. If this pattern appears in 3 or more of the last 5 funded sessions, the formula is genuinely binding your contract count. That is a justified upgrade signal. If instead you are hitting the one-contract ceiling because you are choosing not to add a second contract (risk aversion, uncertainty, process doubt), the tier is not the binding factor — the upgrade will not solve the problem. See sizing up on a funded futures account for the four-step recalibration check that determines whether a contract count increase is appropriate before considering a tier upgrade.
Two completed payout cycles from the current funded account means: the evaluation was passed, the funded account was activated, the process worked through at least two consecutive payout periods including the consistency window reset and the new-period sizing recalibration. It does not mean: the evaluation was passed twice. The two payout cycles should come from a single funded account running forward through normal trading, not from two separate evaluation purchases at the same tier.
One payout cycle proves the process can reach the payout gate from activation. Two payout cycles prove the process is repeatable after the first period resets — which is a genuinely different test. Many traders discover in the second payout period that behavior changes subtly after the first payout (overconfidence, routine relaxation, reduced rigor on the pre-session check). Two cycles that both close cleanly is meaningful evidence that the process is durable, not just lucky. The upgrade is then an expansion of a proven process to a larger capital allocation — not a bet. See the account size article for the full four upgrade criteria including the step-up path sequence.
Before purchasing the upgrade evaluation, run the same four-step formula check on the next tier that you ran before purchasing the current tier. At the next tier up, the trailing drawdown distance is larger but the DLL may or may not scale proportionally — and the binding constraint may switch from DTF to DLL. If the next tier's DLL÷4 is tighter than expected relative to the trailing drawdown, the effective per-trade ceiling increase from the upgrade may be smaller than the account size increase implies.
For example: if your current $50K account has DTF=$2,000 (DTF÷10=$200, binding) and you are moving to a $100K account where DTF=$3,000 (DTF÷10=$300) but DLL=$2,000 (DLL÷4=$500), the ceiling increases from $200 to $300 — a 50% increase in ceiling for a 100% increase in account size. That is the realistic ceiling gain. If instead the $100K account has DLL=$1,600 (DLL÷4=$400) and DTF=$3,200 (DTF÷10=$320), the binding constraint is still DTF÷10 at $320 — a ceiling increase from $200 to $320, which supports 1 ES contract at a 6-point stop or 2 ES contracts at a 3-point stop. The specific arithmetic at the next tier is worth running before the evaluation fee is paid.
Three scenarios that do not justify a tier upgrade. First, "the payout from this funded account feels too small." A payout from a funded account is not the ceiling on what the process can generate — it is the base from which the next payout compounds. The correct question is whether the formula is binding the contract count, not whether the dollar amount feels adequate. Second, "my balance has reached some round number." The balance is not a proxy for the formula constraint. The formula is the proxy for the formula constraint. Third, "I failed the evaluation and want to try a harder tier." Evaluation failure is almost always behavioral or structural — a behavioral failure at $50K does not become easier at $100K where the profit target is twice as large in absolute dollars. If the evaluation failed for a structural reason (wrong tier for the instrument), the fix is to move to the correct tier for the instrument — which may be up or down. If it failed for a behavioral reason, the fix is behavioral correction before the next evaluation at any tier. See how to decide between resetting a funded futures evaluation and starting a new one for the three-way decision framework that covers this exact scenario.
Process-first tier selection means you start with your method — specifically your planned instrument and typical stop distance — before you look at account sizes or payout amounts. The question is not "how large do I want my funded account to be?" It is "at which tier does my position sizing formula produce a number large enough to trade one contract on my actual instrument at my actual stop width?" You identify the smallest tier where the math works, not the largest tier you can afford. The two formula inputs are DTF divided by 10 (trailing drawdown per-trade limit) and DLL divided by 4 (daily loss pre-session limit). The lower of those two is your per-trade ceiling. If your trade — one contract at your typical stop distance — costs more than the ceiling, the tier is wrong for your process regardless of what the payout looks like.
Run these four steps for each tier you are considering. First, get the trailing drawdown distance and DLL from the firm's ruleset at that tier. Second, calculate DTF divided by 10 and DLL divided by 4 — the lower value is your per-trade ceiling. Third, calculate the dollar cost of one contract on your planned instrument at your typical stop: stop ticks multiplied by tick value per contract. Fourth, divide the per-trade ceiling by the per-contract cost — if the result is less than one, the tier does not support even a single contract at your normal stop. If the result is one or more, the tier is viable for your instrument and stop. For example, an ES trader with a 4-point stop pays $200 per contract in stop risk. At a $25K account where the binding ceiling is roughly $150, the result is 0.75 — meaning zero viable contracts and the tier is structurally wrong. At a $50K account where the ceiling is roughly $200, the result is exactly one contract, which is viable.
If your instrument's stop distance requires more per-trade risk than the largest available tier's formula supports, you have two options. First, trade the micro version of the instrument instead — MES instead of ES, MNQ instead of NQ, MCL instead of CL — where each contract carries a fraction of the full-size tick value. On MES, a 4-point stop costs $20 per contract instead of $200, which fits even the smallest tier's ceiling. Second, recalibrate your stop width by moving to a setup variation that uses narrower stops — but only if the narrower stop is valid for your method, not as a workaround to make the math fit. Compressing a stop below what your setup requires does not create a viable trade; it creates a different trade with a much higher probability of being stopped out before the move develops.
At smaller tiers, the DTF divided by 10 formula is typically the binding constraint. The trailing drawdown distance at a $25K account is often $1,250 to $1,500, producing a per-trade ceiling of $125 to $150. The DLL at the same account is often $750 to $1,000, producing a DLL÷4 output of $187 to $250. The DTF formula is lower, so it sets the effective ceiling. At larger tiers, the relationship can reverse — trailing drawdown distance may grow slower than DLL, pushing DLL÷4 below DTF÷10 and making the daily loss limit the binding input. Before purchasing any tier, calculate both inputs and identify which is binding. The binding input is the one you need to monitor during the session because it is the constraint most likely to be violated first.
A tier upgrade is justified by formula evidence, not by a payout amount feeling small. Three conditions should all be true. First, the current tier's binding constraint is consistently the ceiling that limits your contract count — the formula prevents a second contract on sessions where your method would otherwise support one. Second, you have completed at least two full payout cycles from the current funded account, demonstrating the process is repeatable. Third, the next tier up's formula output supports the additional contract count you are targeting without creating a new binding constraint that wipes out the gain. Run the four-step formula check on the next tier before purchasing the upgrade evaluation, the same way you ran it before purchasing the current tier.
The correct tier is the smallest one where the formula supports one contract on your actual instrument at your actual stop width — not the largest one you can afford.
Picking the wrong tier is one of the most expensive and most avoidable structural mistakes in funded futures trading. The method covers the exact calculation flow from instrument and stop distance to tier selection, with the simulation-based evidence standard that confirms the tier and firm combination before you pay a dollar. First 100 founding seats at $19/mo — locked for life.