Micros or Minis for Your Eval? Contract Sizing That Survives the Drawdown Instead of Testing It

Every evaluation account has a number that decides whether you pass or blow up, and it is not your win rate. It is the distance between your balance and your trailing drawdown line. Contract size is the dial that controls how fast you travel toward that line — in both directions.

Most traders pick a size because it feels right, or because a bigger position makes a good day feel like a great one. Then one ordinary morning the market gaps, the stop fills three points wide, and a single trade eats a third of the cushion. The strategy was fine. The sizing was not.

What a Micro Actually Costs You Compared to a Mini

The math is simple, and it is worth writing on a sticky note next to your monitor:

• ES (E-mini S&P 500): $50 per point. One tick (0.25) is $12.50.
• MES (Micro E-mini S&P 500): $5 per point. One tick is $1.25.
• NQ (E-mini Nasdaq 100): $20 per point. One tick (0.25) is $5.00.
• MNQ (Micro E-mini Nasdaq 100): $2 per point. One tick is $0.50.

A micro is one-tenth of a mini. That is the whole story. Same product, same session, same order flow — one-tenth the dollar consequence per tick. Which means ten micros and one mini are financially identical, and the choice between them is about resolution, not about being "serious."

Resolution is the part traders miss. With one mini you have exactly two position states: in, or out. With ten micros you have eleven. You can scale out at a first target and let a runner work. You can add a second strategy without doubling your risk. You can trade a $50K evaluation without every single trade being a referendum on your month.

Size Against the Drawdown, Not Against the Balance

Here is the sizing question that actually matters: how many losing trades in a row can this size absorb before I am out?

Take a $50K evaluation with a trailing threshold somewhere in the $2,000–$2,500 range — check your firm's spec sheet, because Apex, Lucid, BluSky and TakeProfit all draw this line differently. Say your strategy risks 10 points on NQ per trade.

• One NQ (mini): 10 points × $20 = $200 per loss. A $2,000 cushion absorbs ten losers.
• Two NQ: $400 per loss. Five losers and you are done.
• Five MNQ (micros): 10 points × $2 × 5 = $100 per loss. Twenty losers of room.

Now go pull the longest losing streak out of your backtest data. Not the average — the worst stretch. Across 4.5 years of bot data, a strategy with a perfectly healthy expectancy will still hand you runs of five, six, seven losses. If your size only survives five, the strategy never gets the chance to be right. You will be reset before the sample size shows up.

The rule that keeps evaluations alive: pick the size where your worst historical losing streak costs less than half your drawdown cushion. Half, not all of it — because commissions, slippage, and a bad fill on news day are all real and none of them are in the backtest.

The Consistency Rule Quietly Votes for Micros

Most funded programs run some version of a consistency rule: no single day can account for too large a share of your total profit. Traders treat this as paperwork. It is actually a sizing constraint.

Oversize your contracts and one gift of a trend day produces a number so large that every following day has to be enormous just to bring your profile back into range. You end up trading extra weeks to smooth out a good day. That is a strange way to get punished for winning.

Micros flatten the curve. Smaller per-day swings mean your best day never becomes the problem, and your equity curve looks like what the firm wants to fund: repeatable, not lucky.

How This Plays Out When Bots Are Doing the Trading

Automation changes the sizing conversation in one important way — the bot will not chicken out and skip a trade after two losses. Whatever size you set is the size it takes, every time, all session. That is the point of running systems instead of moods, and it is exactly why the size has to be right before the platform opens.

A few things that keep the setup honest:

• Size per bot, not per account. If you are running a breakout bot and a mean-reversion bot in the same account, they can both be in a position at the same time. Your worst case is the sum, not the larger of the two.
• Micros make a portfolio possible on a small account. Three strategies at one micro each is a diversified lineup. Three strategies at one mini each is a $150-per-point exposure on a $50K account.
• Scale with the account, not with the mood. When you pass and the drawdown cushion grows, that is the moment to add contracts — on a schedule you decided in advance, not on a Tuesday when you feel hot.
• If you run a trade copier across multiple funded accounts, size once and copy. The copier will happily replicate an oversized position across twenty accounts, and one bad session becomes twenty bad sessions.

The Honest Answer to "Micros or Minis?"

Start on micros. Not because you are a beginner, but because the first job of an evaluation is to survive long enough for your edge to show up in the numbers. Micros buy you sample size. Sample size is what passes evaluations.

Move up when three things are true: the strategy has produced real, live results at the smaller size; your drawdown cushion can absorb the worst streak in the data at the bigger size; and the increase is a step you planned, not a reaction to a loss you want back.

Nobody ever failed an evaluation because their contracts were too small. Plenty have failed with the right strategy and the wrong size.

If you want the sizing math, the firm-by-firm drawdown rules, and the evaluation playbook in one place, that is exactly what the 30-Day Bot Workshop ($199) was built to teach — and you can put the bots themselves on a 14-day free trial while you work through it. Get the size right first. The payouts follow the traders who are still in the game.