🧪#Research
9 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.
Is Diversification Really a Free Lunch? Testing Challenge Distillation With 40 Real-Data Strategies
There's a famous line that "diversification is the only free lunch in investing." Does the same hold for prop firm challenges? We built 5 strategies x 8 symbols = 40 strategies using real prices from 2010 through 2026, then ran 4,000 challenge trials keeping the real correlations intact. The results were extreme. With the same 10 accounts and the same fees, concentrating on one strategy gives a 58.4% total-wipeout rate; splitting across 10 strategies drops that to 1.8%. And expected value barely changes. On the other hand, we also found that "picking the best-performing strategies" pushes correlation from 0.003 up to 0.209, breaking the diversification itself.
Mindless Prop Firm Spam vs. a Serious Own-Capital Trader: We Tested Which Wins With the Same Cash, Using Real Data
Which makes more money: putting the same $10,000 entirely into challenge fees and running 20 unrelated accounts, or trading it as your own capital? Using 40 strategies built from real prices from 2010 to 2026, we ran the same market data and same strategies through 3,000 simulations each. The result: expected assets after one year of $20,356 vs. $10,157 — a clear win for prop. And the own-capital side still can't catch up even at 60x leverage, because it goes bust first. Matching prop required an annualized Sharpe ratio of 1.46. But once capital reaches $1,000,000, the gap almost disappears.
Challenge Distillation: Run Multiple Accounts on Unrelated Waves, and Only Advance the Survivors | Same Expected Value, but the Odds of Actually Winning Went from 13% to 81%
Until May, I mirrored the same trades across every account. Now I run multiple challenges in parallel on unrelated waves, and only advance the ones that survive. I call this "challenge distillation." A 40,000-run Monte Carlo test showed distillation doesn't add a single yen of expected value. What it adds is the probability of actually capturing that expected value — from 13.0% to 81.1%, even at zero edge. What matters isn't the number of accounts but the correlation between them: at correlation 0.8, risk only ever falls to 0.894 no matter how many you stack. Covers how much each way of splitting waves (instrument, day of week, time of day, SL/TP) actually helps, why even a funded account should be blown up once you've withdrawn from it, and where this differs from the banned practice of cross-account hedging. Calculated using real list prices from Fintokei, FTMO, and FundedNext. In September 2026 I also verified this on real data (5 strategies × 8 instruments = 40 waves, 2010–2026): running the same wave on every account leaves the total-wipeout rate stuck at 58.4%, while splitting into 10 waves drops it to 1.8%.
E8 Pro Is Worth Buying at $366 — But Watch Two Catches: the "2% Daily Profit Cap" and "Static DD Stays Static Only Until Your First Payout," Tested Across 40,000 Runs
E8 Markets' new E8 Pro plan lists the $100K account at $488, or $366 with code E8. It strips out almost every annoying clause — static DD, no consistency rule, no minimum trading days, daily payouts. Run 40,000 Monte Carlo simulations, and even a zero-edge trader gets an expected payout of 4.53x the entry fee. But there are two catches. One is a "2% daily profit cap," where anything above it gets deleted from the account the next day — trade through it unaware and expected value can drop by up to 54%. The other is the static DD: the moment you request your first payout, the fail line jumps to the initial balance, and only half of your saved-up profit remains as your lifeline. Also covers the comparison with E8 One (same $366), lot-size ceilings, and how to choose a configuration. Prices and rules verified live on the official site and Help Center on September 13, 2026.
Moneta 2-Step: Should You Pick 4%/8% or 5%/10%? | What a 44% Price Gap Actually Buys You, Tested Across 40,000 Runs
Moneta Funded's 2-Step challenge gives you a choice of two drawdown configurations at purchase. 4% daily / 8% max costs $660 for a $100K account; 5% daily / 10% max costs $950 — a 44% price gap. I tested what that gap actually buys with 40,000 Monte Carlo runs. The failure rate drops by up to 12 points and the funded-reach rate goes up. But in absolute terms 5%/10% always wins, and in capital efficiency 4%/8% always wins — the ranking never flips regardless of skill level. Also covers the easily-missed difference in the same-instrument floating-loss trigger (2% vs. 3%). Prices were measured across all sizes at checkout on September 12, 2026.
Buying Instant Pro for the Expected Value Is Close to Worthless | Jump In Because It's "Half Price" and, Costs Included, You Only Get Back 80% of What You Paid [Verification]
I ran 40,000 Monte Carlo simulations to back out the "maximum price worth paying" for Moneta Instant Pro. Against the account's 2.755%, the list price is 5.300%. In other words, the list price is roughly double the value — a 0.52x multiple. Even with the 50% OFF coupon it's only 1.04x, barely a fair trade. Add a 0.01% per-trade spread and it drops to 0.82x, meaning you only get back 80% of what you paid. Half price doesn't make it "a good deal" — it just brings an overpriced product back to fair value. Under the same conditions, the two-phase programs return more than 3x. Prices were measured on each firm's official checkout on September 12, 2026.