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Warrior Trading // Ross Cameron // Day Trade Warrior

What's up everyone? All right? So I'm going to give you a breakdown on hitting max loss. All right. So this is very interesting when it comes to trading because we can very easily set a mental max loss like let's say, twenty thousand dollars, which is my mental max loss. But then you're down 21 000 You say? Ah, I'll take one more trade and so, uh, some students were like ross, do you know what your metrics are from when you trade past your mental max loss And I said, you know I really don't And I also said, hey man, why are you calling me when I'm in the middle of a video hello, hello, hello, Who is this? No, no, no, no, no, Rachel, Come on man, I'm gonna put my phone on you All right? So um, I've always been looking for Rachel, Rachel, and Ross, you know, friends.

So that was the question. What are your metrics when you exceed your max loss, right? And obviously I hadn't really been tracking that. Now I have my trusty computer here and on my computer in Trader View, which is the website that I use for metrics. I can look at win versus loss days.

So what that does is it aggregates all of the days that I'm read and just tells you your statistics on those red days. Um, so for instance, um, since July. So for the last like two two months, um, on my red days, I've lost a combined total of 240 000. My accuracy has been only 60 percent, and my profit to loss ratio has been pretty bad.

Where my average winners have been only 1200, my average losers have been 5 000. that's not great. Uh, in that same period, my winning day metrics are 70 Accuracy 580 000 Total Profit: 70 Accuracy Average winners are 2100, average losers are 1300. So the average winners are twice as big on my winning days, and my average losers are twenty percent as big.

Instead of five thousand, they're only about a thousand. Well, maybe not quite twenty percent. Twenty five percent. A little less than that.

But in any case, so this is interesting and all well and good. And what that generally tells me is on a day when I'm starting to go red, sometimes I start to swing for the fences, I take a couple huge losses, it hurts my metrics, and I end up finishing the day deeper in the red. But this is all the red days and what I really wanted a better understanding of were the days where I was approaching or below max loss. And so I tracked them just on a piece of paper.

And this is beginning in July and goes for the last month or so. a little over a month. So I had eight days where I hit my max loss of twenty thousand dollars. Now on, Uh, the first day my note was I hit minus twelve thousand uh, one more trade and went down to minus twenty Eight.

Traded out of it was down only minus fifteen and then one big loss. Finished down 40k on the day. All right. So in other words, I went down uh 12 000 on the first trade, was then down 28 000 by the second trade and that was my max loss.

I should have stopped minus 28. But I kept trading until I was down 40 grand. Which means I lost an additional twelve thousand dollars past my max loss the second day. Um, I took two more trades past the max loss.
One was a 5k winner, the next was a 7 000. Loser lost an extra two thousand. Okay, so that was the day I hit my 20k max loss, took two more trades, one winner, one loser, the next one. Um, I went from uh up 20k to minus 15k in the afternoon.

This was Fomo and I was trying to make it back. Now the thing on that day is that I have a max loss or I have one of one of the mental rules is that if I give back more than half my profits, I stop. So giving back more than half my profits would have been when I went from up 20k to up only 10k. I kept trading past that rule and lost an additional 25 000.

So on that day I lost an additional 25k past when I was supposed to stop. Um, I had another day here where Um increased my max loss. I was down 30k, then 32, then 37 and um, it just kept losing. So finish the day down 37 000 which was, um, 20 sorry, 17 000 past what I should have traded.

So already we've got one, two, three, four days where trading cast. My max loss has cost me now cumulatively. Uh, let's see two Plus Twenty five. So thirty five, Thirty seven.

So forty four, Fifty Four thousand dollars, Fifty Four thousand dollars into one, two, three, four days. So an average of over ten thousand dollars per day. Okay, so let's keep it going. Uh, the next day I lost 11k on the first trade, then made eight thousand on the second, then on the third, lost 19 000, finished down 30k.

All right, so we've lost, uh, ten thousand dollars more than 20k max loss. And I'm not sure exactly when I crossed it, but we'll just say at some point it must have been when I was down 19k. Well, in any case, just add another 10 000 there. So now we're at 54, we're at 64 000.

And then I had a day where I lost um, 10k on the first trade, 13k on the second, so I was down 22k on the day, increased max loss to minus 30k Traded Robinhood ipo made 30k on it, finish the day flat. Okay, so now we've got one day out of the last. One, two, three, four five, One out of these five days where, uh, well, it's actually this is the six. So one out of six days trading past max loss.

I finished green. So on that day because I was down um, 22 000 uh and finished flat, I actually made back trade past max loss about 25 grand. Okay, the next day I was down 20k. At the open, I recovered 13 000 of it.

and then I lost 30 000 in one trade. Should just stop at the open down 20k. finish the day down Uh 30 which is another 10 000. So now we're at 74 000 in losses.

Have another day here. Trade past max loss. Lost 12 000 at the open. Oh, this was today, Um, then lost.

Uh, was down 20k. ended up doubling the loss to being down almost 40k. So now, plus another 20.. So that's 94 000.

And so what we have here are, Uh, let's see one, two, three, four, five, six, seven, eight days, Eight trading days. And in one of the eight eight trading days where I hit my max loss on one of those eight days, I finished grim. Alright, so let's look at the metrics. Um, here.
so one divided by eight. So twelve and a half percent. So I have a twelve and a half percent chance when I'm down twenty thousand of finishing a degree just at zero twelve and a half percent chance. Uh, and so uh, or an 88 chance of losing an additional let's see, ninety four thousand dollars divided by seven Thirteen thousand.

So, an 88 chance approximately of losing additional thirteen thousand. Uh, Which would be when I'm down 20 000. Uh. increasing my loss by over 50.

So the metrics here of these last eight days. Now, eight days in a career of hundreds of days, is. uh, hundreds of trading days. There's 250 trading days a year.

So in any case, maybe thousands of trade days? Whatever. Eight days is not a not a lot of days. However, the early indicator is pretty darn clear, right? Max loss. Trade past it.

lose more money the majority of the time. So um, I think that's the. Um. that's the long short of it.

Cut your losses, stop at your max loss, set it, and follow it. I know it's hard, it's easier said than done, but it's the right move. All right with that, I'll let you guys go. And that, right, There was an entire video with no ads.

I don't monetize my youtube channel with video ads, which means you guys get to enjoy the content. but do me a favor. Please hit that subscribe button and give me a thumbs up and let Youtube know that this channel is the channel to watch if you want to learn about day trading.

By Stock Chat

where the coffee is hot and so is the chat

30 thoughts on “Day trading max loss – red day metrics”
  1. Avataaar/Circle Created with python_avatars Michael Carter says:

    I like how analytical your thought process is, it's almost like you gave yourself your own pep talk. Anyways great videos, keep up the good work! πŸ‘

  2. Avataaar/Circle Created with python_avatars Koss says:

    I've been following you one year and a half and being a Warrior Pro member since 10 months ago.

    It still amazes me how honest and transparent you are with your loses. This exercise of showing how much you lose past your max loss, which is embarrasing and hurts your feelings, is just another good reason why you are the best day trader to learn from. Your metrics are exceptional but the fact you are focusing on your bad days to improve is what makes you a better trader. Learning from your mistakes.

    Each day that I'm a member of your community and trade side by side with you and the other Warriors is an unvaluable experience for me. I'm starting to have an edge and making consistent profits but those red days still hurt a lot. I'm experiencing the same as you, holding onto bad trades and trading past my max loss. This video opened my mind even more and cleared the way moving forward to keep improving, make the loses smaller and take more advantage on the good green days.

    Thank you from the bottom of my heart for everything you do Ross.

  3. Avataaar/Circle Created with python_avatars Grace says:

    The get out if you give back half profits is a good rule. I gave back about 40% today buying into Ross on a false breakout πŸ˜‚

  4. Avataaar/Circle Created with python_avatars 904 Ross says:

    If you dont learn your metrics then you dont believe in factual rules you should be following. Now when you go awe it's only down 22k im going to trade 1 more time, critical thinking can kick in and yell NO you big dummy. I guess it cost you 40k to learn that. Tuition goes up the more you make. πŸ˜‚

  5. Avataaar/Circle Created with python_avatars Tim M says:

    This is super helpful, thank you Ross. It’s a little surprising that the numbers are so drastic, but it also makes sense when we break it down. Hitting max loss means it’s probably later in the day, and therefore less volume in the market. Spending our time trading a losing stock means we likely missed some moves earlier in the session that would typically be our winners for the day. Hitting max loss on a quality setup is a sign that the market is cold. When we hit max loss, we are often in a heightened state of emotion, and could be willing to take riskier trades than normal.

  6. Avataaar/Circle Created with python_avatars k retz says:

    Part of the takeaway also is to understand your metrics as a trader using many data points. This is a great example of that.

  7. Avataaar/Circle Created with python_avatars Joseph Yoo says:

    Thank you Ross. This is exactly what I've been going through and what I needed to hear.

  8. Avataaar/Circle Created with python_avatars Fox Slider says:

    Preciate that breakdown. Im trying to learn from others and i listened to that. Will do.

  9. Avataaar/Circle Created with python_avatars tropicalpnch says:

    Good info even if like you say, it's a small sample size. It pays to follow your rules… literally lol

  10. Avataaar/Circle Created with python_avatars Don Koh says:

    lol, epic… Hang in there bro win lose and thanks for your insights, humanity, sincerity and transparency . peace

  11. Avataaar/Circle Created with python_avatars Mike Nobles says:

    Pro question here I have here for you Ross!Now how many of your green days were 20k realized that turned into green days… thats the catch. Meaning some of your green days metrics will also fluctuate. Just speaking from my own experience and chopping my own personal performance data

  12. Avataaar/Circle Created with python_avatars TriOculus says:

    lmao – rachel and ross picture, insta Video like!

  13. Avataaar/Circle Created with python_avatars Paul Quarantillo says:

    Tough metric to address, but ultimately could save you money, sticky note that one lol

  14. Avataaar/Circle Created with python_avatars Mark Joseph says:

    Great video on staying disciplined and reviewing your stats. Keep up the good work Ross!

  15. Avataaar/Circle Created with python_avatars Jake says:

    Off topic question but can I ask where your editor gets the background music for these videos?

  16. Avataaar/Circle Created with python_avatars Ghost Peppered says:

    Ross, I would be similarly curious to know the probability of: On the days when you hit max loss, if you had stopped there, what is the chance of recovering at least that amount the following day?

  17. Avataaar/Circle Created with python_avatars Tyler Hall says:

    I'm overly good at cutting losses lol I think I hopefully won't ever have this problem

  18. Avataaar/Circle Created with python_avatars Jeremy Fisher says:

    I'm curious if you include days you hit max loss but then recovered to a smaller red day or a green day?

  19. Avataaar/Circle Created with python_avatars Tyler Hall says:

    damn that guy called the wrong dude on the wrong day🀣🀣🀣 "MY NAME IS NOT RACHEL AND I JUST LOST 40 GRAND, AAGGH" 🀣🀣🀣🀣

  20. Avataaar/Circle Created with python_avatars Pilotemb gamers says:

    Hi Ross, I just started researching day trading as a potential side hobby. I’m glad I found your channel. I admire your humbleness, down to earth personality and appreciate your honesty about the reality of day trading. Been enjoying watching your videos and reading your content. Cheers.

  21. Avataaar/Circle Created with python_avatars T Ya says:

    max lost is so smart, gonna use it now! thanks boss!

  22. Avataaar/Circle Created with python_avatars Robert Crain says:

    I learned to imagine my wife’s disappointed face. I put her happy face and her disappointed face beside my monitor. If I follow my rules it’s always a happy face win or lose. To each his own but it also makes us laugh and keeps me honest. Before that I would always break my rules… You should do the same but use Rachel’s face lol

  23. Avataaar/Circle Created with python_avatars andee lar says:

    hello bro, what was the item nr of asus that you are using connected to falcon laptop? does it rely its power from the laptop or needs a separate power source from the wall outlet? thank you

  24. Avataaar/Circle Created with python_avatars Vladimir Konovalov says:

    Ross, thank you for sharing this, it shows that we are all human and we all can make mistakes. Though you're great anyway!

  25. Avataaar/Circle Created with python_avatars M.K says:

    Ross you have changed my life, thank you for what you do and keep up the great work even when you have red days.

  26. Avataaar/Circle Created with python_avatars Emad Jaymz says:

    the idea of the video was great thanks Ross and Rachel

  27. Avataaar/Circle Created with python_avatars Carlos Saquieres says:

    Ross Im from Uruguay I live here in SC and I have a friend selling his property in Uruguay amazing property almost 80 acres of beautiful country side very safe country to live in. I can get you all the information if you are interested. Thanks

  28. Avataaar/Circle Created with python_avatars Maa'khina says:

    Thank you for giving us these trading gems.

    And the comedy! I love it bro hahaha
    Hit that thumbs up as alwaysπŸ‘

  29. Avataaar/Circle Created with python_avatars Defined Boundary says:

    Come on Ross! You can't be uploading 3 videos in one day. I already hit my popcorn max calories for the day dude.

  30. Avataaar/Circle Created with python_avatars omid omid says:

    I did learn so much from you over the years. Thanks.

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