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ZN1! trade ideas

Key Levels and Market overview for the Asian session open 28/02A review of the price action from the European session and US session as traders fight back thanks to some bargain hunting from the open. The US gapped upon the open following on from a strong European session. The USD found some sellers and Bond yields fell which provided some support for share markets traders. I look at some key levels to watch and the price action setups I expect to see play out. Markets covered :- DOW Nasdaq DAX FTSE ASX200 Hang Seng USD Index Gold Oil Copper
CBOT:ZN1!
by TradeTheStructure
Key Levels and Market overview into the Asian session openA look at the price action from the European and US sessions and what that may mean for the Asian market open after some stronger than expected US retail Sales triggered a choppy session. I feel data is still showing 'sticky inflation' which eventually leads to higher interest rates and lower spending which will cap the indexes...although traders are focused on a resilient economy fending off a recession.. I look at some key levels to watch and the price action setups I expect to play out. Markets covered :- DOW Nasdaq DAX FTSE ASX200 Hang Seng USD Index Gold Oil Copper
CBOT:ZN1!
by TradeTheStructure
$ZN_F: Bonds have bottomedI think we have a low risk trade here, buying bonds until March 17th or so. Weekly trend is up, until said date, and could after that form a new consolidation and new continuation pattern over time if my view here is correct. Definitely a good idea to have some exposure to bonds, I personally opted for buying OTM calls to ride this signal, but you could use futures or ETFs as well (or just buy the actual bonds). Best of luck! Cheers, Ivan Labrie.
CBOT:ZN1!Long
by IvanLabrie
1
Selection & how to operateThe obvious part if you've understood all the previous posts. It's easier to start with how Not to trade . Wrong - cherry picking "strong" levels. Every level is a level, not better & not worse than another one. Choosing the supposedly strong levels is a subjective thing that reduces expected value & consistency. Right - operating at each level on a given resolution, you either expect a level to repel prices or to be consumed, you operate accordingly at every level. The more you operate, better for the market, higher your revenues. If there too many levels for you, instead of cherry picking you just move to a lower resolution. Some levels can be effectively skipped because of risk & sizing consideration, but skipping levels an cherry picking levels are 2 completely different mindsets. Wrong - stopping operation after N loosing trades. Right - controlling equity as explained in "Sizing & how to manage risk". If you're making loosing trades in a row, you don't stop, you just hit zero size, then you imagine trades or execute on simulator, when your size comes back to a non-zero value you come back to the real account. More you operate - better for the business. Wrong - waiting for a "confirmation". If you don't have a firm expectation whether a level will repel prices or will be consumed, you don't know what you're doing, read all the posts and understand how it all works. Right - knowing in advance what you gonna do at each level & keep reevaluating it in real time. Wrong - making reentries. The activity around levels, especially how levels get cleared, is very well defined. After the scaling in is complete, you either exit at loss/at breakeven when a level gets cleared / positioned in the unexpected side. Or, you scale out while being in the money. Right - unless there was a mistake caused by a misclick or smth like dat, reentries is an irrelevant concept. Wrong - working out insurance after the entry. Right - a hedge should be bought BEFORE scaling in, same goes about placing the stop-losses. How to operate Asset selection Not many people think about it, but it makes sense not only to provide liquidity when & where there's not much of it, but also to consume excessive liquidity when & where there's too much of it, because both cases are unhealthy for the markets. So, we have 2 types of trading instruments then: 1) overquoted ones, such as GE, ZN, or ES many years ago; 2) underquoted ones, such as CL, NQ; How to distinguish dem? One way is to take a look at volumes on highest resolution cluster/footprint chart, and compare em with the actual number of bid/asks in the DOM. ZN for example is hugely overquoted, you'll notice that: it has aprox 1000 contract at every bid/ask price, but when these limit orders start to get consumed at one price, the rest orders at the same price just gets cancelled, and you see lesser values on your footprint/cluster chart. The opposite happens on underquoted instruments, they need liquidity. Why it matters? You operate the same way on both under and overquoted vehicles, but: 1) on underquoted vehicles you mainly use limit orders, you provide liquidity; 2) on overquoted vehicles you mainly use market orders, you remove liquidity; Exits at loss vs attempting to get out around breakeven Both are legit, the latter gives more freedom, but implies not using stop-losses so you have to know 4 sure what's happening and what you're doing. That's how you trade with stoplosses. 1) In case of trading pops from positioned levels, you simply exit when the support/resistance gets cleared, in case of clearing by price it means you'll have an L, no big deal tho; 2) In case of trading pushes through positioned levels (aka trading clearings aka trading consumptions), same, you're getting an L if you hit the invalidation point. The invalidation point for these trades is the opposite border of the positioning sequence. This border is found the same ways as the front level, just at the opposite side; 3) Trading during a positioning itself. Makes least sense to trade with stop-losses, but in theory: taking an L at the next level past the level you expect to be positioned this or that way. If there is no level past you current level, you try to make a projection, smth like its shown on ZN chart of this post, imagine you were trading positioning of 112'19. Without stops it's almost the same, it's just instead of taking an immediate loss after an invalidation event, you exit at breakeven when price comes back to the entry zone (in most cases it does). If prices don't go back and hit another level, you simply continue trading there, if that new level you're working with now is supposed to act in the opposite direction from the previous one, you simply reverse your position. If that new level is supposed to work in the same direction as the previous one, you're holding your position further. This kind of operation assumes very high win rate, low RR ratio and very rare but significant losses. However, if the unexpected happens 2 times in row, chances are the problem is on your side xD Finally 1) Monitor non-market data in order not to be caught against the momentum surges (eg unless you're a DMM, trading at Jobless Claims release is a BAD IDEA); 2) Pick your main resolution that way you'll be satisfied with the frequency of your operations; 3) Work with all the levels there; 4) Never approach the next level while having a full position, always offload risk on the way, unless you expect the next level to be cleared/positioned in the same direction; 5) Always control risks; 6) Understand that it's all about doing the right thing, and it's totally possible to understand what is right by gaining all the info from all the data. You should end up trading 100% of positioned levels, trading 50% of positioning processes demselves, and rofl never try to trade smth that looks like "a new level is forming now".
CBOT:ZN1!Education
by gorx1
Q&As: non-market dataThere's some curious personalities that trade (at least claim to trade) based on news, fundamental metrics, alt data n stuff. I don't mean invest, I mean trade. Well that looks like a skill to be proud off, superstimuli always feels cool aye? Good thing tho there no real reason in doing it all. The most precise term to explain non-market data is, well, everything that ain't have a direct involvement with what happens inside the order matching servers of a given exchange. So open interest is in fact a great example of non-market data. The one & only real purpose for using all this data is to know (not to guess/predict/forecast, not to even anticipate), but to understand when the ACTION is going to happen. If you think deeper, ultimately it's all about asset selection to satisfy whatever purpose you got. if you ever got caught yourself feeling fooled when media release a bad info but prices go up, or media release a good info but prices go down, it's ok. It doesn't work that way, direction of prices can't be affected this way. Direction of prices is the result of how buyers meet sellers which is based on +inf number of factors, where a non-market data is simply just one of these +inf factors. It exclusively provokes action, meat, hype, momentum, volatility, whatever you call it. What's happening is that things start to happen very fast. Without a trigger event, the trading activity would've been the same, it just would've take longer to unwind. News don't change the structure, they make it all happen faster, that's it. Examples of non-market data that can be used to expect action: 1) Trading schedule, eg the US, EU opening times; 2) Economic releases; 3) Commitment of traders reports; 4) Significant news; 5) Changes in yield curves; 6) "Fundamental" stock data; 7) Open interest; 8) etc etc etc One really important thing to add is that, just like trading activity is understood in context (other resolutions), sizing also includes context (equity control, market impact), the same way every non-market data event lives in the context (previous releases, other releases, overall economy). You're interesting not in a new per se, but rather in what does it mean in the world. For example, inflation reports don't mean much when the rates are low, but when the rates are high, they trigger significant activity. That's the area where statistical learning, automated learning, "machine" learning, 'Really' starts to make sense business-wise. The ultimate goal is to create a system that will process every kind of data you have (NLP and TDA should help) and output the tickers with raising/already risen levels of interest.
CBOT:ZN1!Education
by gorx1
Coding StyleWhen a coder creates something new, mostly that is with his/her own style. This makes them artists in a way I believe :) While it is nice to develop a specific style, writing things on a certain way can be very important to understand better what is written. This example shows a style, while it is possibly nice to see, is very hard to decipher... Here is the same code, written in a different way, making it easier to read. indicator("ConeCode-Linefill,educational", max_lines_count=500, overlay=true) color1 = input.color(color.new(color.blue  , 35), 'color 1') color2 = input.color(color.new(color.lime   , 35), 'color 2') color3 = input.color(color.new(color.red  , 35), 'color 3') iFill = input.bool (true,'fill') s1 = ta.sma (close, 1000) s2 = ta.sma (close, 200) l1 = plot (s1  , 'l1') l2 = plot (s2  , 'l2') topVal = s1 > s2  ? math.min(s1, s2) : math.max(s1, s2) botVal = s1 > s2  ? math.max(s1, s2) : math.min(s1, s2) topCl = iFill   ? s1 > s2 ? color3 : color1 : na botCl = iFill   ? s1 > s2 ? color1 : color2 : na fill(l1, l2, topVal, botVal, topCl, botCl) █ More information: Coding style: Pine Script™ v5 User Manual/Writing scripts/Style guide Script description: How PineCoders Write and Format Script Descriptions
CBOT:ZN1!Education
by fikira
8
Bond Market Rallies After Inflation DataBonds have soared after yields collapsed due to CPI coming in slightly better than expected. This follows months of consistently high readings fueling a hawkish Fed. With this reading, the markets will likely start to anticipate a pivot to a less hawkish stance. ZN broke through our target of 110'27, and moved a full handle above that to 111'26. It is currently meeting resistance at 111'29 or so, where a red triangle on the KRI is confirming resistance. Watch for ZN to equilibrate as the news gets priced in. If we can keep going then 113'12 is the next target, otherwise, 110'27 should give support.
CBOT:ZN1!Long
by quantguy