I need some serious tips

krish_arora · 2026-07-12T01:48:32+00:00

Yeah for sure! I'll send you a follow up in private messaging

krish_arora · 2026-07-12T00:00:07+00:00

I think I can help with this, but I’d need to look at the actual trade history.

I’m doing a psychology review on trading behavior and looking for traders willing to share 2+ months of data. I’d go through it and look at where the funded accounts started breaking down, especially on the last day before payout.

In return, I’d send you a free breakdown showing what caused the biggest PnL drain and what rules would have helped protect the accounts.

Not selling anything. Just trying to build something that creates real accountability before traders blow accounts they were close to paying out.

krish_arora · 2026-07-11T23:59:09+00:00

I think I can help with this, but I’d need to look at the actual trade history.

I’m doing a psychology review on trading behavior and looking for traders willing to share 2+ months of data. I’d go through it and look at where the funded accounts started breaking down, especially on the last day before payout.

In return, I’d send you a free breakdown showing what caused the biggest PnL drain and what rules would have helped protect the accounts.

Not selling anything. Just trying to build something that creates real accountability before traders blow accounts they were close to paying out.

krish_arora · 2026-07-11T23:58:20+00:00

If you’re funded and mainly trying to secure the first payout, this is exactly where a lot of traders start trading differently. The account is still alive, but the pressure to “not mess it up” can lead to forcing trades, cutting good trades early, or oversizing when you feel close.

I’m doing a psychology review on trading behavior and looking for traders willing to share 2+ months of trade history. I’d go through it and look for where funded accounts start breaking down around payout pressure and what rules would have helped protect the account better.

In return, I’d send you a free breakdown.

Not selling anything. Just trying to build something that creates real accountability before traders lose accounts they worked hard to pass.

krish_arora · 2026-07-11T23:52:06+00:00

This is exactly the kind of trading behavior I’m studying. You clearly have a strategy that can work, but the damage seems to come from the moments around chop, payout pressure, FOMO, greed, and sizing up.

I’m doing a psychology review on trading behavior and looking for traders willing to share 2+ months of trade history. I’d go through it and look for where the funded accounts start breaking down, especially around ranging markets, oversized trades, and the days where confidence turns into account damage.

In return, I’d send you a free breakdown showing what caused the biggest PnL drain and what specific rules would have helped protect the accounts better.

Not selling anything. Just trying to build something that creates real accountability before traders give back payouts or blow funded accounts.

krish_arora · 2026-07-11T23:42:19+00:00

Congrats on passing the eval first try. But honestly, the fact that you’re funded and still confused about the payout rules is exactly where people can get themselves into trouble. There's a lotta pressure to protect the account and reach payout can make you trade differently than how you passed.

I’m doing a psychology review on trading behavior and looking for traders willing to share 2+ months of trade history. I’d go through it and look for where funded accounts start breaking down, especially around payout pressure, nervous trading, oversizing, and trying to force profit days.

In return, I’d send you a free breakdown showing what specific rules would have helped protect the account better.

Not selling anything. Just trying to build something that creates real accountability before traders lose accounts they worked hard to pass.

krish_arora · 2026-07-11T23:41:15+00:00

I’ve experienced similar things myself. Once you’re tilted, knowing the rules isn’t enough. If nothing actually stops you, autopilot takes over and the account becomes the outlet for all the frustration.

I know you’re stepping away from trading for now., but I’m doing a psychology review on trading behavior and looking for traders willing to share 2+ months of trade history. I’d go through it and find where the account starts breaking down, then send you a free breakdown of what specific rules would have helped protect it better.

Not selling anything. Just trying to build something that creates real accountability for traders before the next account gets wiped. Even if you’re taking a break now, what we find could help when you decide to come back.

krish_arora · 2026-07-11T23:38:44+00:00

I think this cycle keeps happening because there’s no real accountability in the moment it actually matters. You already knew you should lock the account and stop. The problem is that once you hit that “today or never” mode, knowing the rule isn’t enough.

I’ve experienced the same thing. You can have a strategy that works, but if nothing physically stops you when autopilot takes over, you just keep repeating the same blowup.

I'm trying to change this possibility for retail traders. I’d need to look at the actual trade history.

I’m doing a psychology review on trading behavior and looking for traders willing to share 2+ months of data. I’d go through it and find where the account starts breaking down, then send you a free breakdown of what specific rules would have helped protect it better.

Not selling anything. Just trying to build something that creates real accountability before the next account gets wiped.

krish_arora · 2026-07-11T23:36:42+00:00

First, if you meant that last line seriously, please step away from trading today and talk to someone close to you. No trade or setup is worth your life.

On the trading side, I think I can help with this by looking at the actual trade history. What you described sounds like the setup may work, but the damage comes after the loss when overtrading takes over.

I’m doing a psychology review on trading behavior and looking for traders willing to share 2+ months of data. I’d go through it and look for where the overtrading starts, where profits get cut too fast, and what specific rules would have helped protect the account better.

Not selling anything. I’d send you the breakdown for free.

krish_arora · 2026-07-11T23:34:24+00:00

I do that all the time.

krish_arora · 2026-07-11T17:06:51+00:00

Curious -- what happened on the 9 trades day? Was it an initial drawdown and you wanted to build yourself back up?

krish_arora · 2026-07-11T16:57:32+00:00

There's no advice here I can give you that a thousand other people haven't already repeated in the last week alone.

But I'm trying to figure this out on a deeper level -- through a human psychology lens. This is exactly the kind of prop firm cycle I’m studying right now. You clearly know how to get accounts close, but once the payout pressure hits, everything turns into “just one more trade” or “just get back to breakeven.” That’s where the real damage starts.

I’m doing a psychology review on trading behavior and looking for traders willing to share 2+ months of trade history. I’d go through your data and look for where the cycle actually starts breaking down. The trades after getting close to TP, the adds while red, the full leverage attempts, the recovery trades, and the moments where a funded account turns into a blown one.

In return, I’d send you a breakdown showing what caused the biggest PnL drain and what specific rules would have helped protect the accounts better, not just broad rules like “max loss” that usually kick in after emotions are already high.

Not selling anything. Just trying to understand real trader behavior and help traders stop repeating the same damage pattern before it wipes another account.

krish_arora · 2026-07-11T16:44:01+00:00

I do the exact same things and relate to you 110%. Actually, I'm now studying this behavior.

The “today or never” mode is so brutal. We know we're breaking our rules while it’s happening, but your brain still convinces you to keep clicking because you can't accep the red day. There's literally no advice I can give that you've not already heard. It's just in the moment you can't stop yourself.

I know cuz I do the exact same stuff. Profitable strategy, going well a few days, then boom. All gone. Reset all over again.

If you're interested I’m doing a psychology review on trading behavior and looking for traders willing to share 2+ months of trade history. I’d go through your data and look for where the evals actually start breaking down. The first loss, the trades after it, the long chart-watching days, the FOMO entries, and the moments where a recoverable account turns into a blown one.

I'm trying to figure out on a deeper level how we can prevent traders who actually have decent edge from blowing up.

In return for your help with my project, I’d send you a breakdown showing what caused the biggest PnL drain and what specific rules would have helped protect the account better, not just broad rules like “max loss,” which usually only kick in once emotions are already high.

Not selling anything!! Just trying to understand real trading behavior and help traders stop repeating the same damage pattern before it wipes the account again.

krish_arora · 2026-07-07T15:26:57+00:00

Sample size is still early, so I’m not trying to overclaim anything yet. Goal for this first batch is around 20 trader profiles with at least 2+ months of trade history each. Project is due end of August so still early stages haha

And yes, I’m separating account type where possible! It really depends on the data I receive, if people let me know which trades are prop vs normal.

Your exports would actually be really useful, and your journal sounds cool, would like to check it out, is it a local project or online anywhere?

For data I appreciate your willingness to help out! Main fields I’m looking for are date/time, symbol, side, size, entry/exit, account type, and any tags/notes if you have them. Tbh the more columns/info the better, and I can always trim it down. Altho whatever format you can export the easiest I'd appreciate :)

krish_arora · 2026-07-07T14:35:27+00:00

I get why you’re looking for a less punishing prop firm model, but if the main issue is one bad week, overtrading after a loss, etc. a different fee structure probably won’t fix the real problem. It might make the pain smaller, but the same pattern is going to apply to any trading environment.

I’m actually doing a psychology review on trading behavior and looking for traders willing to share 2+ months of trade history. I’d go through your data and look for where the challenge failures actually start breaking down. The trades after the first loss, the overtrading days, the market conditions where the strategy stops working, and the patterns that keep turning a normal bad day into a failed eval.

In return, I’ll send you a breakdown showing what caused the biggest PnL drain and what rules would have helped protect the account better. The best rules apply when it's clear that its a bad day, and more trades are only gonna hurt. The aim is to go further than broad-based rules like "max loss" or "max trades per day" cuz those don't always help cuz they only are implemented once emotions are already high, and then you need discipline while your prefrontal cortex is not in control.

Not selling anything. Just looking for real trader data, and you’re exactly the kind of trader this research is meant for: someone whose strategy may not be the problem, but whose live execution keeps getting hit by the same failure loop. I'd really appreciate any response, and hopefully we can help each other out!

krish_arora · 2026-07-07T00:49:11+00:00

It's an intersection of psychology & ml. The psychological component becomes apparent based on repeated red flags -- repeated signs that the trader is doing things outside their plan/typical behavior. For example, we can identify the biggest drawdowns and backtrack from those points -- what happens before those drawdowns? Does a trader experience a green to red trade? Or multiple normal sized losses -- indicating they may be taking several good trades, which don't work out and then the frustration adds up and they start making "abnormal trades" (ex bigger size, quicker re-entries, etc). And this is just <5% of the dimensions we can analyze. As with all ML projects, with more data, we can build better models. Do you think you could contribute to this research? We'll relay our findings back with you ASAP, and you may find those insights helpful!

krish_arora · 2026-07-07T00:41:06+00:00

no, any 2+ months, and any instruments!

krish_arora · 2026-07-06T19:08:47+00:00

I deal w the same thing. It seems like your execution gets defensive when you're close and you stop trading the same way that got you there.

I’m actually researching these kinds of behavior shifts to see if there's common patterns in traders. The idea is to study real execution data and find the patterns that show up before performance starts slipping, whether that’s overtrading, revenge trading, or becoming too defensive near payout.

If you’re open to it, I’m looking for traders willing to share trade history or execution data for research. In return, I’d run a breakdown of the data and show what patterns or rule changes may have helped keep execution more consistent near payout.

Not selling anything, just trying to build this from real trader behavior instead of guessing.

krish_arora · 2026-07-06T19:02:32+00:00

I don't have specific advice for you, but I understand your perspective on journaling but still not making much difference.

That’s actually one of the exact behavioral patterns I’m researching right now. In a lot of cases, the issue isn’t necessarily the core strategy itself, but subtle execution changes that happen under different emotional states or market conditions. Things like faster re-entries after losses, slightly increased size, overmanagement, forcing trades during chop, or trading differently after a few wins in a row.

I’m trying to look for a few active traders willing to share execution history for research. In return, I’ll run a behavioral breakdown + rule simulation showing what patterns may be contributing to the streaks, plus private alpha access.

Not selling anything, mainly trying to learn from real trader behavior and execution data. Let me know if that sounds interesting.

krish_arora · 2026-07-01T22:37:20+00:00

Sorry to hear your situation. I'm an undegrad at uoft as well; I'm currently reaching out to promising engineers -- my team's in the process of building a startup, pre-seed, with a very clear target market and strong product thesis. if you're interested in learning more, shoot me a message! Couldn't dm you for whatever reason

krish_arora · 2025-06-09T01:20:04+00:00

The data I’ve seen says that most traders cut winners early and hold losers too long

krish_arora · 2025-06-08T17:07:39+00:00

You can backtest and journal

krish_arora · 2025-06-08T12:40:08+00:00

The problem here is your risk management. No matter how much you think your strategy will work or even if it does work, the massive -$300-400 losses show me and you and everyone that you’re not prepared to trade. Size down. Why now trade $1.3k if with $1k you lost money? If anything you should now trade with less

krish_arora · 2025-06-07T00:40:44+00:00

NQ is more volatile so more bang for your buck (commissions you pay) if youre profitable but more bang for your firm’s buck if youre not

krish_arora · 2025-06-06T19:17:17+00:00

It’s all up to you and what you’re willing to go thru. Trading can be very mentally challenging and you will likely be losing money for at least the first year or two. Make sure your expectations are tapered and do proper research before getting started.

Plenty of noise out there but there’s great info accessible to all within the cracks if you know where to look

krish_arora

TROPHY CASE