🎯#Passing challenges
13 articles
What Happens When You Split a Random Technical Strategy Across 1, 3, 5, or 15 Accounts? Measuring the Effect of Diversification Alone With 5.7 Years of Real Data
Each account trades once a day, risking 2% per trade at RR 1:1. Holding this fixed, we ran the same signal split across 1 account, 3 accounts (by strategy), 5 accounts (by weekday), and 15 accounts (strategy × weekday) over 5.7 years of real data from 2021. The strategy itself loses — a 47.8% win rate with negative expectancy. Even so, splitting into 5 or more accounts kept every one of the 6 years in the black, while the 1-account version had a losing year. Of the 90 account-years across the individual accounts, 50 were losing years — yet bundled together, the losing years disappear. That's the effect of diversification. Finally, moving only the win rate with the same setup: 55% wins gives ¥17.34M a year, while 45% gives just ¥1.1M and losing years return. Diversification firms up the floor; whether you get a big upside comes down to edge.
Which Hola Prime Plan Should You Buy? For EAs, the "2% Rule" Decides Everything
Hola Prime has five plans, and the right pick changes if you're running an EA (automated trading). The key is the "2% per trade idea" rule — it judges the stop-loss position at entry, not floating loss, and it only applies to funded accounts. Misread this and you'll throw away 30% of your lot size. We ran an actual strategy on real data across all four plans, and 1-Step Prime — the one with the heaviest target-to-max-loss ratio — came out on top in all three sub-periods. Also covers the per-instrument leverage (gold and indices at 10:1), and results from measuring instrument specs on our own account (Nikkei and Dow don't exist).
Don't Smooth Out Your Equity Curve in Prop Trading: Why It's the Exact Opposite of Normal Portfolio Management
In investing, conventional wisdom says to suppress volatility. But in prop firm challenges, this flips completely — payouts are decided by a threshold ('did you hit +8% or not'), and downside is capped at the fee. A smoothed-out account never hits the wall, but it also never reaches the target — it just pays the fee and goes nowhere. Testing by scaling lot size on real intraday-anomaly strategies, we found the location of the 'cliff' — where too much lot size backfires — varies more than 3x between strategies: one strategy fell off the cliff and stayed negative past 2.5x, while another kept climbing all the way to 8x.
When Should You Change Your Prop Account Settings? Don't Touch It During Evaluation — Always Change It the Moment You Get Funded
When a challenge isn't going the way you'd hoped, you want to raise your lot size. You want to change your trading hours. But that judgment call has no statistical basis. Telling a 40% pass-rate method apart from a 25% one needs 150 accounts per method, and most people only have one or two. Meanwhile, the moment you reach a funded account, rules that didn't exist during evaluation kick in all at once — Hola Prime caps risk per trade at 2%, Hantec treats the 3 minutes around a news release as a violation even to close a position. These are cases where you must change something. We sorted out what to keep fixed, what to change, and how to treat an account that's already deep in drawdown, using 40,000 Monte Carlo runs. As of September 18, 2026.
Best Trading Hours & Session Strategy for Prop Firms | Full Guide with JST Conversion
A guide to the trading hours that matter for prop firm challenges. Why the London-NY overlap (from around 22:00 JST) is best, the optimal hours per currency (USD/EUR/JPY), what to avoid — rollover, thin liquidity, the 2 minutes around news — plus JST conversion and daylight saving time pitfalls, all backed by volume and volatility data.
The Blueprint for Passing a Prop Firm Challenge: What Overseas Data Reveals About Passing on 'Discipline, Not Strategy'
A blueprint for passing a prop firm challenge, built on primary overseas data (FPFX, official FTMO sources, Swiset). Covers risking 0.5-1% per trade, sizing lots backward from an assumed losing streak, how to use the daily loss limit, and why you shouldn't rush the profit target — concrete ways to build the 'discipline' that raises your pass rate.
Prop Firm Strategy Guide: The Complete Roadmap From Choosing a Firm to Passing, Payouts, and Multiple Accounts (With Full Article Index)
Every step of cracking a prop firm challenge, on one page. From choosing a firm → understanding the rules → passing the challenge → protecting your funded account → maximizing payouts → scaling to multiple accounts — a hub linking the key points of each step to 44 detailed articles. A realistic roadmap grounded in real EA backtests and primary overseas data (5-14% pass rates, ~7% reach payout).
1-Step vs. 2-Step vs. Instant Funding: A Full Comparison — Which Evaluation Model Should You Choose?
Comparing prop firm evaluation models using independent data: 1-Step pass rate 17.5% vs. 2-Step 9.1% (Swiset), with passers taking an average of 6.4 days and failures dragging out to 41.5 days. Also covers Instant Funding's traps — high fees, low splits, and trailing drawdown. What matters more than phase count when choosing.
The Complete Guide to Prop Firm Position Sizing and Lot Calculation: Designing the Right Size by Working Backward From Drawdown
A formula-based breakdown of lot calculation for prop firm accounts. Covers how to set your risk % (around 0.5% during evaluation), working backward from your stop-loss distance, why leverage isn't the same thing as risk, sizing by working backward from daily DD, calculating your tolerance for a losing streak, and the effective risk of correlated positions. Includes worked examples for $50K and $100K accounts.
15 Common Mistakes That Get Prop Traders Failed, Plus How to Avoid Them | The Truth Behind the '94% Fail' Myth and the Overseas Data
An analysis of why traders fail prop challenges, based on primary overseas data and peer-reviewed research. Failure is 90% risk discipline and psychology, not strategy quality. Covers 15 common mistakes -- daily DD violations, revenge trading, misunderstanding trailing DD, and more -- plus how to raise your odds of survival. Also fact-checks the '94% fail' myth.
Trading Styles and Setups That Suit Prop Firm Evaluations: Why 'Discipline' Decides the Outcome More Than the Strategy
An analysis, using overseas data, of which trading styles pass prop evaluations more easily. Covers the strengths and weaknesses of trend-following, breakout, range, and mean-reversion strategies, cautions for scalping/swing trading, how to think about win rate × RR, and prohibited strategies. Explains why disciplined, consistent execution of a validated edge matters more than which strategy you pick.
Hantec's 4 plans compared | Enhanced's max loss line rises to the starting balance once you withdraw. Which should you buy — the 2-step or the 3-step Endurance?
A re-check of Hantec Trader's Express, Enhanced, EnhancedX, and Endurance against the official help center as of September 2026. On Enhanced and Express, the max loss line locks to the starting balance on your first payout; on EnhancedX and Endurance, it doesn't move even after a payout. Compared by price, an approximate pass rate, and how much cushion is left after a payout.
The5ers High Stakes: 8% Target vs. 10% Target — Which Should You Choose?
The5ers' High Stakes challenge comes in two variants: Classic (Phase 1 target 8%) and New (10%). Using prices and rules after the September 14, 2026 revision ($100K is $455 for Classic and $405 for New, max loss 8%, daily 4%), we compare cost per 1% of target, the ratio of max loss to target, and the break-even pass rate. The conclusion that Classic is the better pick for a first attempt has only gotten clearer after the revision.