PropPassCheck

Strategy styles · Mean reversion

Can a mean-reversion strategy pass Tradeify?

Often, but the rules decide it. On Tradeify Select 50K (Flex), our sample mean-reversion trader passed 59% of attempts and went on to a first payout in 56%. That ranks Tradeify 33rd of 46 firms with a challenge for this style; the middle challenge across all firms is 61%. The sample has a real edge built in, so read this as how Tradeify's rules treat the style, not as your own odds.

59%Pass chance, best account
56%Pass and get paid
0.3%Best risk per trade
98Trading days to pass, typical
33rd of 46Firms, this style

Tradeify accounts with a mean-reversion strategy

AccountTypePass chancePass and get paidBest risk a tradeDaysMost common way it failedTargetDaily lossMax loss
Select 50K (Flex)1-step59%56%0.3%98Hit the maximum loss6%None4% trailing, locks at start

"Pass and get paid" is the share of attempts that passed every phase and then reached a first payout without breaking a rule. Days are trading days. Rules checked 25 Oct 2026; full rules on the Tradeify page.

Tradeify's rules are about average for this style. When the sample failed on Tradeify Select 50K (Flex), it was most often because it hit the maximum loss.

The sample mean-reversion trader

Our sample wins 58.3% of its trades, each winner is 0.8 times the risk, each loser is the full risk, and it takes about two trades a day: an average of 0.05R profit per trade, where R is the amount risked. Many small wins and fewer, larger losses. The curve looks smooth until a losing day takes back a week. More on the sample and how it does across all firms.

Tradeify rules to watch with a mean-reversion strategy

We have not recorded Tradeify's rules on open losses yet, and they are not in the pass figures above. Check Tradeify's own rules before you buy.

It is tested here with a fixed stop
Every loss in our sample is the planned risk and no more. Mean reversion without a stop, or adding to a losing trade, is a different and far riskier thing: one trend day can end the account.
Open-loss rules
Trades that go against you before coming back are where open-loss limits bite. Some firms count the loss while the trade is still open.
Daily loss limit
Two or more trades a day means losses can stack up inside one day.

Other styles at Tradeify

StyleBest accountPass chancePass and get paid
BreakoutSelect 50K (Flex)55%52%
Trend followingSelect 50K (Flex)66%63%
Mean reversion (this one)Select 50K (Flex)59%56%
ScalpingSelect 50K (Flex)42%38%
Swing tradingSelect 50K (Flex)81%79%
Opening range breakoutSelect 50K (Flex)69%67%
Day tradingSelect 50K (Flex)41%36%
High win rateSelect 50K (Flex)78%75%
Low win rateSelect 50K (Flex)51%47%
Position tradingSelect 50K (Flex)78%73%
Grid and martingaleSelect 50K (Flex)31%21%

Firms whose rules suit this style better

Ranked on the rules alone. It says nothing about how reliably a firm pays: see payout reports and each firm's page.

How this was worked out

Each style is a made-up sample trader, not a real track record. We set the figures so that every sample makes the same average profit: 0.1 times its risk per trading day, about 2R a month. They differ only in shape: how often they win, how big the winners are and how many trades they take. That way a difference between two styles comes from how the rules treat the shape, not from one sample simply being better. The exception is the grid and martingale sample, which has no edge at all: adding to losing trades changes the shape of the results but cannot create an edge.

Each sample was run 1,000 times against each account's published rules, at nine trade sizes from 0.13% to 1% of the account, and we show the size that did best. It is the same engine as the test centre. How the simulation works.

What this leaves out. Every sample but that one has a real edge and never breaks its own rules, which is why these figures are far higher than the share of real traders who pass. There are no spreads, commissions, swaps or slippage. Every winner and loser is the same size. And it only tests the rules in the table: profit targets, loss limits, trading days, time limits, consistency and payout terms, not rules on news, weekends or hold times. A strategy with no edge fails everywhere, whatever its style.

Questions

Can a mean-reversion strategy pass Tradeify?

Often, but the rules decide it. On Tradeify Select 50K (Flex), our sample mean-reversion trader passed 59% of attempts and went on to a first payout in 56%. That ranks Tradeify 33rd of 46 firms with a challenge for this style; the middle challenge across all firms is 61%. The sample has a real edge built in; a strategy without one fails at any firm.

Which Tradeify account is best for a mean-reversion strategy?

PropPassCheck tracks one Tradeify account, Tradeify Select 50K (Flex).

How much should I risk per trade at Tradeify with a mean-reversion strategy?

For our sample the best size on Tradeify Select 50K (Flex) was 0.3% of the account per trade, and a typical pass took 98 trading days. Your own best size depends on your win rate and losing runs, so test your own trades.

Test your own trades

These are samples. Your strategy has its own win rate, its own losing runs and its own costs. Upload a backtest or trade history and PropPassCheck replays it 2,000 times against each Tradeify account and every other firm, and shows your own chance of passing and of a first payout. It runs in your browser; nothing is uploaded.

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