May 22nd, 2017 - S&P 500 e-Mini - Trading Activity - Today's Sim Trade Profit $1,250
Start of another Week.
Nothing tragic or weird enough happened over the weekend to have any significant impact and the markets opened more or less where they closed out last week.
Swing Trade Strategy
Here is another one of the swing trade strategies I am tracking.
This one is based on the Naked Close concept that is the core of my day trading methods.
I back checked this one to January 2016 until January 2017. From January 2017 forward it is updated daily going forward.
It is either hot or cold, so I need to find something that levels it off.
Right now it uses a $2,000 stop with no targets. The exit is the first profitable close after the open.
And it reverses on an opposing signal
Maybe I need to bring in a target?
![](data:image/png;base64,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)
Pre-market Simulation
A small rally from the open took us into a buy signal on the 10,000 tick chart @ 1:42. This signal has a statistical probability of 75%. Took 2 long @ 2384.75. Target @ 2385.75.
No follow through. Market reversed direction and mover lower. Flipped the trade to short after the third Nkd Cls lower on the 2,000 tick. Took 12 short @ 2380.50. 2 to cover the longs and 10 for recovery. Might have waited to long to flip the trade. We shall see. Target 2379.50
Took a while and we had to live through a rally, but we finally hit the target. This is when I discovered that I set the target in the wrong place was at 2379.75 instead of 2379.50.
So, I did not fully recover from the previous trade and ended up with a loss of $78.
We will get that back later.
Coming off the morning low the 2,000 tick rallied, pulled back then rallied into a buy signal. Took 2 long @ 2384.75. Target @ 2385.75.
Target hit, we are flat with $14 profit.
Switch to Real Money Account for Open Trade
Coming into the open all signs are for a buy.
8:25 - 10,000 tick bar gives us a buy signal. Took 2 long @ 2384.75. Target @ 2385.75
Target was hit on the open and I immediately took 2 more long at 2385.75. Target 2386.75.
Target was hit we are out with $180 profit.
Switch Back to Simulation Account
8:33 - 10,000 tick bar gives us a buy signal. Took 2 long @ 2387.25. Target @ 2388.25.
Target hit, we are flat with $111 profit.
The 2,000 tick takes a little breather, goes SWS for 3 bars then breaks higher with a buy signal. Took 2 long @ 2389.00. Messed up the target, set @ 2389.25.
Target was hit, we are flat with $129 profit.
8:40 - 10,000 tick gives us a buy signal. Took 2 long @ 2389.50. Target @ 2390.50.
A pull back then rallied into the target. We are flat with $227 profit.
8:47 - 10,000 tick gives us a buy signal. Took 2 long @ 2390.25. Target @ 2391.25.
No follow through. The 2,000 tick declined below the previous short term low hinted at a second sell signal. Flipped short. Took 7 sort @ 2388.75. 2 to cover the longs and 5 for recovery. Target @ 2387.75.
Might have jumped the gun on this one. Did not wait for the 2,000 tick bar to close and when it did there was no sell signal.
Should have waited, the 2,000 tick rallied into a buy signal which I cannot ignore. Took 23 long @ 2390.50. 5 to cover the shorts and 18 for recovery. Target @ 2391.25.
2,000 tick threatening another sell signal like the last one.
Waited for the second signal to confirm. Flipped to short. Took 64 contracts short @ 2389.50. 18 to cover the longs and 46 for recovery. Target @ 2388.50.
Followed through. Target hit, we are flat with $869 profit.
This is a good example of how fast things can get away on you if you make a mistake.
To follow through on this trade would have required an account size of at least $60,000 and nerves of steel to follow through on it.
What did we learn from this?
Wait for the signal bar to close and confirm the signal before taking the trade.
If we would have been a bit more patient we would not have had this bit of excitement.
But, the upside is we cam out of it with a sizeable profit.
9:18 - 10,000 tick bar gives us a sell signal. Took 2 short @ 2388.75. Target @ 2387.75.
Target hit, we are flat with $964 profit.
9:34 - 2,000 tick rallies into a lower short term high then declines into a sell signal. Took 2 short @ 2387.25. Target @ 2386.25.
Target hit, we are flat with $1059 profit.
9:48 - 2,000 tick rallies into a lower short term high then declines into a sell signal. Took 2 short @ 2386.75. Target @ 2385.75.
Target hit, we are flat with $1154 profit.
9:50 - 10,000 tick gives us a sell signal. Took 2 short @ 2386.00. Target 2385.00.
Target hit, we are flat with $1,249 profit.
10:20 - the 2,000 tick gave us a second signal off a rally from the last low. Missed this signal because I was cleaning up the mess I made preparing lasagna for supper.
Would have been a good trade making the target.
it is 10:45 and I am going to call it a wrap for the day.
Daily Summary & Charts Below
![](https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEjfM0KtAxJwE9Mc6zUJrxJ72tk6epePSWj9rgfu1X5QfZSVhDY9-1LZW8H1WFtrnmRUo8RUKAWAaeW90hqg6mdX7GzIxuhyneHHBU4aQ4zR_hdNPmMMY6h_BAFaDNv4SYQEsr91hyphenhyphen-kKwA/s640/Capture.JPG)
Nothing tragic or weird enough happened over the weekend to have any significant impact and the markets opened more or less where they closed out last week.
Swing Trade Strategy
Here is another one of the swing trade strategies I am tracking.
This one is based on the Naked Close concept that is the core of my day trading methods.
I back checked this one to January 2016 until January 2017. From January 2017 forward it is updated daily going forward.
It is either hot or cold, so I need to find something that levels it off.
Right now it uses a $2,000 stop with no targets. The exit is the first profitable close after the open.
And it reverses on an opposing signal
Maybe I need to bring in a target?
Pre-market Simulation
A small rally from the open took us into a buy signal on the 10,000 tick chart @ 1:42. This signal has a statistical probability of 75%. Took 2 long @ 2384.75. Target @ 2385.75.
No follow through. Market reversed direction and mover lower. Flipped the trade to short after the third Nkd Cls lower on the 2,000 tick. Took 12 short @ 2380.50. 2 to cover the longs and 10 for recovery. Might have waited to long to flip the trade. We shall see. Target 2379.50
Took a while and we had to live through a rally, but we finally hit the target. This is when I discovered that I set the target in the wrong place was at 2379.75 instead of 2379.50.
So, I did not fully recover from the previous trade and ended up with a loss of $78.
We will get that back later.
Coming off the morning low the 2,000 tick rallied, pulled back then rallied into a buy signal. Took 2 long @ 2384.75. Target @ 2385.75.
Target hit, we are flat with $14 profit.
Switch to Real Money Account for Open Trade
Coming into the open all signs are for a buy.
8:25 - 10,000 tick bar gives us a buy signal. Took 2 long @ 2384.75. Target @ 2385.75
Target was hit on the open and I immediately took 2 more long at 2385.75. Target 2386.75.
Target was hit we are out with $180 profit.
Switch Back to Simulation Account
8:33 - 10,000 tick bar gives us a buy signal. Took 2 long @ 2387.25. Target @ 2388.25.
Target hit, we are flat with $111 profit.
The 2,000 tick takes a little breather, goes SWS for 3 bars then breaks higher with a buy signal. Took 2 long @ 2389.00. Messed up the target, set @ 2389.25.
Target was hit, we are flat with $129 profit.
8:40 - 10,000 tick gives us a buy signal. Took 2 long @ 2389.50. Target @ 2390.50.
A pull back then rallied into the target. We are flat with $227 profit.
8:47 - 10,000 tick gives us a buy signal. Took 2 long @ 2390.25. Target @ 2391.25.
No follow through. The 2,000 tick declined below the previous short term low hinted at a second sell signal. Flipped short. Took 7 sort @ 2388.75. 2 to cover the longs and 5 for recovery. Target @ 2387.75.
Might have jumped the gun on this one. Did not wait for the 2,000 tick bar to close and when it did there was no sell signal.
Should have waited, the 2,000 tick rallied into a buy signal which I cannot ignore. Took 23 long @ 2390.50. 5 to cover the shorts and 18 for recovery. Target @ 2391.25.
2,000 tick threatening another sell signal like the last one.
Waited for the second signal to confirm. Flipped to short. Took 64 contracts short @ 2389.50. 18 to cover the longs and 46 for recovery. Target @ 2388.50.
Followed through. Target hit, we are flat with $869 profit.
This is a good example of how fast things can get away on you if you make a mistake.
To follow through on this trade would have required an account size of at least $60,000 and nerves of steel to follow through on it.
What did we learn from this?
Wait for the signal bar to close and confirm the signal before taking the trade.
If we would have been a bit more patient we would not have had this bit of excitement.
But, the upside is we cam out of it with a sizeable profit.
9:18 - 10,000 tick bar gives us a sell signal. Took 2 short @ 2388.75. Target @ 2387.75.
Target hit, we are flat with $964 profit.
9:34 - 2,000 tick rallies into a lower short term high then declines into a sell signal. Took 2 short @ 2387.25. Target @ 2386.25.
Target hit, we are flat with $1059 profit.
9:48 - 2,000 tick rallies into a lower short term high then declines into a sell signal. Took 2 short @ 2386.75. Target @ 2385.75.
Target hit, we are flat with $1154 profit.
9:50 - 10,000 tick gives us a sell signal. Took 2 short @ 2386.00. Target 2385.00.
Target hit, we are flat with $1,249 profit.
10:20 - the 2,000 tick gave us a second signal off a rally from the last low. Missed this signal because I was cleaning up the mess I made preparing lasagna for supper.
Would have been a good trade making the target.
it is 10:45 and I am going to call it a wrap for the day.
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