Leaving too much on the table, or losses

Which do you hate more?

  • Leaving too much on table?

    Votes: 1 20.0%
  • or taking a small loss?

    Votes: 4 80.0%

  • Total voters
    5

Brumby

Well-known member
May 25, 2012
600
137
53
#2
Trading is a miserable experience when your protective stop is hit. It is even more miserable when you failed to have a stop in place and your position goes even further against you. Likewise, you feel miserable when your profit target is hit and then prices just continue to the moon.

Have a trade plan. Stick to it. Plan the next one and then the next. The only thing that matters is whether you traded according to the plan. Considering which one is more miserable is not very useful unless misery is your friend.
 

Quantt

Active member
Jul 23, 2017
945
57
38
#3
Which do you hate more?
Must be leaving too much on the table... Losses, (especially small) are already baked into my strategies, but if I am constantly leaving too much on the table, it means there is something fundamentally wrong with my system, so I would hate it more :)
 

barjon

Well-known member
May 6, 2003
10,093
1,490
223
78
#4
The mind’s an odd beast. I really hate giving money back, much more than the irritation of an initial loss and much, much more than watching price move on after I’ve exited.
 

brewski1984

Well-known member
Sep 9, 2010
2,027
343
93
#5
I hate losing more than anything
 

piphoe

Well-known member
Oct 31, 2015
10,049
194
123
#6
Thanks for replies. I hate leaving too much on table, operative word "too much".

I know i have to leave a little, nobodies perfect right? but where really moves in my favor and i am out because i thought that was "it"...

tha really irks me, AND tells me MAYBE just maybe smthg is wrong in my analysis. not always though, could be an outlier.

thanks again for replies, pls everyone else..
 

piphoe

Well-known member
Oct 31, 2015
10,049
194
123
#7
just to add smthg, leaving too much on table is a problem i have still. actively working to minimize this, maybe should be happy with with a win. over-optimizing is a real concern too...oh well:rolleyes:
 
Feb 7, 2018
3
0
1
#8
I think I prefer to earn even if not all the move than to lose because loss is something wrong at all for what we do but a small gain makes a good feeling that next time we will improve and catch the whole wave

It's just my opinion and that's how I feel and like there's the wise quote that says:
No one got poorer from a little earn :)

BTW have a good trading all
 
Feb 7, 2018
3
0
1
#9
Losing is my hate because when i win even a little i have the feeling that next time it will be better and i still did the right decision and im in the right path..

As one said: "No one got poor from winning little money" ... something like this.. ;)

Happy trading all!
 

Quantt

Active member
Jul 23, 2017
945
57
38
#13
interesting, pls explain a bit more by what you mean by "under-optimizing"
I guess, what I meant is: if you do not back test enough (at least 1 market cycle minimum), you are running the risk to constantly leave money on the table and limit your wining and consequently limit your ability to compound your winnings...
 

piphoe

Well-known member
Oct 31, 2015
10,049
194
123
#14
I guess, what I meant is: if you do not back test enough (at least 1 market cycle minimum), you are running the risk to constantly leave money on the table and limit your wining and consequently limit your ability to compound your winnings...
Quantt, would define each so we are all on same page.

over-optimization? under-optimization?

we all have our own concept of each, so lets say explicitly what we are each talking about.
 

Quantt

Active member
Jul 23, 2017
945
57
38
#15
Quantt, would define each so we are all on same page.

over-optimization? under-optimization?

we all have our own concept of each, so lets say explicitly what we are each talking about.
One example would be betting size: if you read Alexander Elder's books where he is promoting risking only 1 or 2 percent, but this could be under optimization compared to using actual data and Kelly criterion for example to calculate the exact for betting size for your strategy...

If Kelly calculation is returning let's say 6% for back testing of 20 years - this could be an over optimization, because the future winning and loses cannot be quantified...

In this case as suggested as one of the first quants, maybe half a Kelly is the best to be used in the stock market - 3% in our example...