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After hours trading zn Videos

Order Flow Trading: Scalping ZN (US 10-Year Treasury Note) after Non Farm Payroll - 6th Feb 2015

In this video I took a couple of trades an hour after the Non-Farm Payroll figure was released. Though volatility was high, there were still some very good ...

User Comments

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only shorts?? it was at least one opportunity to go long while short covering. And scaling in and out are not good ideas in P&L perspective. Anyway good trades!!!
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hey, there is not much info about how you help new traders to develop into order flow trading. Any way to contact you about this?
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So what were your reason to go short or long on the ZN? An explanation on the video would of be nice.
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What of space with shitty music. Valueless
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Хорошие трейды.

2014 June 6, ZN trading after NFP report release (Using Jigsaw DOM)

Neo: "Why do my eyes hurt?" Morpheus: "You've never used them before."

User Comments

https://lh3.googleusercontent.com/-qNmzVrD8C38/AAAAAAAAAAI/AAAAAAAALig/K73ZGxXDvuI/photo.jpg?sz=64
Отлично! жаль нет русских коментариев : )

Trading ZN before news

Trading ZN before news.

User Comments

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Was that breakout due to a news event? Never seen the Zn move that far without news!
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+Oliver Lambeth yep,, just couple mins be4 news events.. btw,, u can check it out ZN on asian session those days,, man,, i've neva seen ZN move like this... unreal,, i guess becuz RMB is going down,,,lol
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恨死了,英语太差。
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+song xin i may gonna do a 中文 later,, lol

Trading /ZN & /ZT Yield Curves pt. 2 | Closing the Gap: Futures Edition

Catch part two of the "TUT" spread and get even more trade ideas! See more videos from the Closing the Gap: Futures Edition Series: //ow.ly/K1e83 Last ...

User Comments

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+tastytrade How did you come up with the yield spread graph? ^TNX solves the yield of the 10 year portion of the equation but I cannot find a symbol for the yield of the 2 year note. Please help.
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+Carlos Avellán While there is not a ticker that plots the yield that we are aware of, we have access to the data for the 2 year note. Using this data we are able to plot the two against each other, using python.
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