PropTato

@TindallOG The math behind this is wild once you run it. At 42.86% winrate: 1:1R = -0.14R per trade (quietly bleeding). 1:2R = +0.29R. 1:3R = +0.71R. Going 1:1 → 1:2 didn't "improve" your edge — it flipped you from negative to positive. Winrate barely matters once R:R does the lifting.

Last week I took 9 trades. 4 wins and 5 losses. Using anything higher than a 1:1R has changed the game. Using at least a 1:2R but moving into using a 1:3R. Even though my losing rate is higher than my win rate, I was able to end the week green.

@ZenTrader_fx @TradingLucid 971% is clean — the honest version most skip is folding in the evals that didn't pass. 4 winning evals at $84 is easy to count; it's the failed ones + reset fees that quietly drag real ROI down. 4/4 passed = legit elite. 4 of 7 attempts = still good, different story.

2nd payout locked from @TradingLucid 🔒 4 × $84 spent on Evals = $336 $3600 Payouts 💰 ROI: 971% 📈 The grind continues 🚀 . .

@trades_by_sam "Last week was rough. Lost a Tradeify account and honestly felt frustrated with myself. This week though we got back on the horse. Started a new Apex account and almost passed it within the week, but made a couple stupid management mistakes…"

Last week was rough. Lost a Tradeify account and honestly felt frustrated with myself. This week though… we got back on the horse. Started a new Apex account and almost passed it within the week, but made a couple stupid management mistakes...

@Deswaltrades @Topstep 65% winrate carrying a negative avg win/loss ratio is legit — high hit rate is an edge most underrate. One watch-out on funded: when the losing streak hits (and it does), bigger-than-avg losses eat trailing dd fast. Real edge, just fragile to variance.

May 2026 stats on @Topstep so far 👇 Monthly P&L: +$5,659 Trade Win %: 65.89% Profit Factor: 1.77 8 day green streak going Lesson here: My avg loss is BIGGER than my avg win. Yet still profitable. Why? Volume of winners + cutting losses faster than they cut me. You don't need a 1:3 RR to print. You need consistency. Blessed 🙏

@dtr_trading "Cheapest account = most expensive habit" is brutally accurate. The hidden math: 4 resets at $29 is $116, but the real cost is 4 first-loss spirals never reviewed. The cheap price makes people skip the post-mortem they'd do on a $150 account. Cheap removes the pain that fixes you

Cheap eval math: $29 account + $29 reset + $29 reset + $29 reset + no review + same first-loss spiral The cheapest account can become the most expensive habit.

@krabstradez Most useful thread I've seen this week. One math note: 50% at 1:2 is +EV long run, but "net positive any week" isn't quite right — a 1W/3L week happens ~31% of the time and runs red. The 1-loss lockout saves you there, not the EV. The 4→8 bullet buffer math is the real gold.

most traders blow $50k evals because they go in with no real risk model. they buy a lucid flex 50k or a topstep 50k, take 4 contracts on the first setup of the day, win it, and immediately scale to 6 on the next one because the market feels good. then by wednesday the account is gone lol. so they buy another one with the next paycheck and the cycle starts over. i know that cycle well though... i lived it for a year and a half. so here's what worked for me: your $50k eval gives you $2,000 of max loss and a $3,000 profit target. this means you risk $500 per trade. that gives you 4 bullets before the account is dead. you take 1 trade per session. 1:2 risk to reward minimum, with stop moved to break even at 1R. if you take a loss, the platform closes for the day. no second trade or revenge entry. you literally JUST walk away. because with a 50% win rate at 1:2, you're net positive on any week. 3 winners closes the entire $3,000 target. the eval typically clears in 4 to 8 trading days running this exact framework. once you pass, the model shifts. risk drops to $250 per trade on the funded account. 8 bullets of buffer now instead of 4. same 1:2 RR & 1 loss lockout. it would take 8 straight losses to blow the funded account, which almost never happens with a real strategy. at $500 per winning trade, 2 winners a week puts you at the payout threshold inside a month. the reason this works is that you can't oversize, you can't revenge trade... and you can't chase B setups when your only bullet is gone. implement it.

@TheWolf534 50% winrate with 0.7% max dd across 7 uncorrelated signals is the stats sheet that screams "built properly." Most chase 70% winrate single-strategy then wonder why dd is brutal. Decorrelation is the unsexy edge that compounds. How many of the 7 are mean reversion vs momentum?

Last 2 weeks have been very decent on my FTMO account. Mean Reversion on Indices and intraday momentum made me most of the money on the long side! 50% Win Rate Max DD: 0.7% 7 uncorrelated signals! This is what separates consistency from luck. Process over emotions. Risk over ego. Scale over time. And we keep scaling! LET’S GO!

@devender_fx One-day accounts are a different beast — aggressive R:R is forced because you can't compound across sessions, but that same R:R breaches you in choppy weeks. Maybe not broken, just paying variance tax with zero margin to wait out bad regimes.

This model I only use for passing one-day accounts, and it’s been struggling badly lately. ⚠️ Accounts with no drawdown...risking the full $2K to make $3K. I don’t use this on funded or lightning-funded accounts. Few setups, not suitable for minimum trading day requirements. Already breached a few FNFutures Rapid accounts..

@FredrikMolnar Makes sense. "Trade the same, treat rules different" is the cleanest way to scale across firms imo. What broke for me past 6-7 evals was tracking which consistency rule resets when — Lucid daily vs TPT weekly vs Apex monthly gets messy. How do you keep it organized?

@PropTato2026 Thank you! Trying to be transparent, even though it’s tough at times. I treat them differently. But I try trade the same. They have different funded rules, so need to be aware

PASSED 5 X $50K LUCID FLEX EVALS! ✅ PASSED 5 X $150K TPT EVALS! ✅ $1,000,000 IN FUNDED ACCOUNTS! ✅ No, actually $32,500 funded drawdown.🤣 Market reversal saved the day from blowing the evals! Sometimes the market makers are with you! 🥰 HUUUGE!!!😍

@OkalaNQT "+7300 in the tradeify grandcup, in the 500s, probably just flip days at this point, making thousands off a single mini is a grind dude"

+7300 in the tradeify grandcup in the 500s probably just flip days at this point making thousands off a single mini is a grind dude

@bigchartrades The "add a micro to fix sizing mid-trade" is one of those small skills that separates funded survivors from blow-ups. Most people either eat the wrong size or overcorrect into a bigger position. Clean adjustment, BE on T1 + trailing T2 is textbook risk control.

BE on my first trade, trailed in profit on my second, ended today up 1R. I didn't take 3 trades, if you look at my executions on my Topstep dashboard you can see I underrisked and added another micro to adjust properly (check timestamps). Another great trading day! 🙏

@FXGVikash @TopOneFutures @vedictrades @TraderAryan Math nerd take: "win first then one more" is the part I'd tweak. +$400 then -$200 on trade 2 = you walked a full day into half. Same edge on trade 2 as trade 1, so you're gambling the win to chase target. "Win first = done unless A+ setup" keeps the asymmetry.

its my @TopOneFutures $50K funded account. 🚀 My plan: • Risk: $200/day • Target: $400/day • Max 2 trades • Lose first trade = done for the day ❌ • Win first trade = one more trade, then stop ✅ • First Payout target: $3,000 Futures trading bros, what would you change?

@DiegoBTrades Selective + patient is the unsexy combo that actually saves accounts. $400 from intraday trailing dd is the sweet spot — close enough to feel the pressure but enough room to wait for the A+ setup. The patience compounds way faster than people think.

Another Small day to add slowly but surely making progress about $400 away from Intraday trailing DD. Being more selective and patient has helped alot this month

@joseftrades Fair, same-ruleset stacking is the cleanest setup. Mostly thinking of the cases where people mix firms (Apex + Topstep + MFFU at the same time) — ruleset divergence stacks up fast there. Solid approach you've got though.

@PropTato2026 If you trade same rule accounts you dont have to track that much

Thinking about starting an Eval → Payout series. 10–20 accounts. Small risk. Base hits. No forcing trades. No speedrunning. Just taking it day by day and showing what’s possible with consistency. And most importantly, sharing all of it.

@joseftrades Smart — copy trade across same-ruleset accounts is the cleanest scale move. The part that still gets messy past ~10 is tracking payout windows + consistency rules per firm in parallel. Curious if you keep that in a spreadsheet or just memorize the calendar?

@PropTato2026 I buy accounts that have the same or similar rules and copy trade them all. That‘s the easiest way.

@TraderYush The leverage math is unbeatable when you're already +EV. $3K → $110K is ~36x return on capital deployed, impossible on a personal account without insane size. The skill nobody talks about: managing 5+ accounts in parallel without confusing rule sets across firms.

once you understand the prop model and how to scale it, it just doesn’t make sense not to use the cheap leverage it provides alongside your personal account. just this week: • 2 prop firms • $3k total spend • $110k realized profits to make the same return in a personal account alone, you’d need a massive account size or insane risk.

@ZamcoCapital Risk as % of net worth ≠ gambling, agreed. But "good setup" is doing heavy lifting in that sentence — if your setup has 55% winrate, fullporting is +EV; at 45% it's still net worth loss, just slow. The math is about edge × frequency, not risk size.

Define gambling. If I have $100,000 in my bank and I purchase a 50k account for $250 and I FULL PORT IT (On a good setup) Have I gambled or have I simply risked 0.25% risk of my net worth on a trade? Because for some reason, these clowns think because you risk less than 1% its automatically not gambling. People fail to realise that risking more on a good setup is not gambling.

@rraytradess Designing around payout denials is the part 90% skip. Most people build for "passing the eval" then realize the real ruleset only kicks in on funded. Curious — was it the consistency rules or the trailing dd that drove the most model changes?

The last mechanical trading model I built after NY open was designed around one thing: ✅ Beating trailing drawdown ✅ Respecting MAE rules ✅ Avoiding payout denials And till now… not a single payout denial from any prop firm. 🤝 Now I’m upgrading the model mainly around Lucid Trading Direct + Tradify S2F accounts for long term consistency & scaling. Thread 🧵👇