US30 H1 | Bearish Reversal At Pullback ResistanceThe price is rising to our sell entry level at 53,354.25, which is a pullback reistance.
Our stop loss is set at 53,775.47, which is a pullback resistance.
Our take profit is set at 52,862.58, which is a pullback support.
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DOW JONES Best strategy on 17 years of accurate Buy-Sell levelsDow Jones (DJIA) has been trading within a Channel Up since the March 2009 bottom of the U.S. Housing Crisis. During the course of this multi-year trend, the 1M MA50 (blue trend-line) has acted as the long-term Support and the ultimate buy entry for long-term buying.
So far we've had 4 major correction events (Bearish Legs) within this pattern (excluding the non-technical March 2020 COVID crash and the March 2025 Tariff crash). The common characteristic of those has been that the index pulled back to at least the middle of the 0.236 - 0.382 Fibonacci range. With the exception of December 2018 (which still broke way below its 1W MA100 (red trend-line)), the other three corrections also hit the 1M MA50.
As you can see, every time Dow hit the 1M MA50 (even on the March 2020 COVID flash-crash), it took it 51 months the longest until the next 1M MA50 contact. Right now the market has gone the longest without such a correction since 2015. It actually looks a lot like the 2015 peak pattern, given also the fact that the 1M CCI has printed the same Triple Top formation (red circles).
If therefore, the 51 month range holds then we should be expecting the next 1M MA50 contact by December 2026, which indicates that Dow should start declining aggressively soon. Since however that would need a major catalyst to dip that low on such a short time (even stronger than Fed Rate hikes and/ or worse geopolitics), we expect Dow to reach at least its 0.236 Fib by that time at 47000, which would also be a perfect test of the 1W MA100, that has been untouched since April 2025!
If the market gets that catalyst and drops lower towards its 1M MA50 within Q1 2027, a 0.382 test could take place within 44500 - 43000. That would also enter the 0.5 - 0.382 Fibonacci Zone (green Zone) of the 17-year Channel Up, which is where the 2022, 2018, 2015 and 2011 bottoms took place. Similarly the 0.786 - 1.0 Fib range of the Channel (red Zone), has been a Sell opportunity, which is where the index currently is.
Notice how the 1M RSI has historically given us the most optimal long-term buy entry combined with the 1M MA50. And that is the 47.50 Support, which as you can see every time it got hit (green circles), the market was at or very close to a bottom.
So our base scenario for Dow is 47000, to make contact with the 1W MA100 and the 0.236 Fib level. The 1M MA50 would be monitored in case of an extended correction on a massive catalyst. If however the 1M RSI hits its 47.50 Support before Dow hits any price Target, then we will turn into long-term buyers again regardless of the price at the time.
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US30 H4 | Bullish Bounce In PlayThe price has bounced off our buy entry level, which is a pullback to the support that aligns with the 61.8% Fibonacci retracement.
Our stop loss is set at 52,209.20, which is a pullback support that aligns witht he 78.6% Fibonacci retracement.
Our take profit is set at 53,794.79, which is a pullback resistance that aligns with the 50% Fibonacci retracement.
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Bullish bounce in play?US30 has bounced off the support level, which is a pullback support and could potentially rise from this level to our take profit.
Entry: 53,415.66
Why we like it:
There is a pullback support level.
Stop loss: 52,892.08
Why we like it:
There is an overlap support level.
Take profit: 54,309.22
Why we like it:
There is a pullback resistance level.
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US30 1H: Descending Channel Breakout & Liquidity Sweep Reclaim 1. Market Context
On the 1H chart, US30 (Dow Jones) broke out of a multi-week red descending channel structure. After advancing toward 53,700, price executed a quick liquidity sweep down to the 53,321.7 support floor and is now pressing back up to reclaim/break above the local resistance ceiling at 53,719.3.
2. Sentiment & House Trap Analysis
Where Traders Place Orders: Retail traders seeing the horizontal ceiling around 53,687.5 – 53,719.3 opened SELL positions, expecting US30 to reject and drop back toward lower channel support levels (52,800.0).
Trader Stop-Loss & Target: Shorters placed their Stop-Loss orders tightly above 53,720.0, while early buyers placed SLs under 53,340.4.
How the House Plays It: The House engineered a swift sell-off down to 53,321.7 to sweep buyer stop-losses and lure retail into selling the bottom. Once sell-side liquidity was collected, the House aggressively pushed price back up. A 1H close breaking above 53,719.3 will trigger a short-squeeze (forced market buy orders from trapped shorters cutting losses), providing momentum to launch US30 toward 54,098.2 (TP1) and 54,477.1 (TP2).
3. Trade Setup
Entry: 53,719.3 (Confirmed 1H close breaking above horizontal resistance ceiling)
Stop Loss (SL): 53,340.4 (Placed safely below the bottom liquidity sweep low)
Take Profit 1 (TP1): 54,098.2
Take Profit 2 (TP2): 54,477.1
Risk-to-Reward Ratio (R:R): Approx 2.0:1 (Calculated toward TP2)
Bearish drop off?DJ30 has reacted off the resistance level, which is a pullback resistance and could drop from this level to our take profit.
Entry: 53,812/70
Why we like it:
There is a pullback resistance level.
Stop loss: 54,792.72
Why we like it:
There is a pullback resistance level.
Take profit: 52,842.71
Why we like it:
There is a pullback support level.
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Please be advised that the information presented on TradingView is provided to Vantage (‘Vantage Global Limited’, ‘we’) by a third-party provider (‘Everest Fortune Group’). Please be reminded that you are solely responsible for the trading decisions on your account. There is a very high degree of risk involved in trading. Any information and/or content is intended entirely for research, educational and informational purposes only and does not constitute investment or consultation advice or investment strategy. The information is not tailored to the investment needs of any specific person and therefore does not involve a consideration of any of the investment objectives, financial situation or needs of any viewer that may receive it. Kindly also note that past performance is not a reliable indicator of future results. Actual results may differ materially from those anticipated in forward-looking or past performance statements. We assume no liability as to the accuracy or completeness of any of the information and/or content provided herein and the Company cannot be held responsible for any omission, mistake nor for any loss or damage including without limitation to any loss of profit which may arise from reliance on any information supplied by Everest Fortune Group.
US30 H4 | Bearish Reversal In PlayBased on the H4 chart analysis, we can see that the price has rejected our sell entry level at 53,795.56, which is a pullback resistance that aligns with the 50% Fibonacci retracement.
Our stop loss is set at 54,762.34, which is a pullback resistance.
Our take profit is set at 52,862.58, which is an overlap support.
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US30 Is Very Bearish! Short!
Take a look at our analysis for US30.
Time Frame: 9h
Current Trend: Bearish
Sentiment: Overbought (based on 7-period RSI)
Forecast: Bearish
The market is trading around a solid horizontal structure 53,507.3.
The above observations make me that the market will inevitably achieve 52,808.2 level.
P.S
We determine oversold/overbought condition with RSI indicator.
When it drops below 30 - the market is considered to be oversold.
When it bounces above 70 - the market is considered to be overbought.
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Dow Jones Preparing for Another Advance?The Dow Jones has recovered strongly from its recent decline and is now consolidating around 53,500. The projected structure suggests a brief pullback could occur before buyers attempt another advance toward the 54,000 region. The reaction to this week’s U.S. economic releases could decide whether bullish momentum returns.
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US30 | Bullish Structure Holds Above Key Pivot
The Dow Jones OANDA:US30USD remains in a technically bullish structure, but the fundamental backdrop is currently mixed. Strong corporate earnings and renewed AI optimism are supporting U.S. equities, while persistent inflation and elevated Treasury yields remain the main risks to the bullish scenario.
Fundamental Outlook:
The broader U.S. equity market received fresh support after strong earnings and guidance from Nvidia, which reinforced confidence that AI-related demand remains robust. Other major technology companies also delivered positive results, improving overall market sentiment.
However, the macroeconomic side remains more challenging. The latest U.S. PCE inflation reading came in slightly hotter than expected, with headline PCE at 3.7% YoY versus 3.6% expected. This increased expectations that the Federal Reserve may need to maintain a tighter policy stance, which can keep Treasury yields elevated and limit upside momentum in U.S. indices.
Attention is now shifting toward Fed Chair Kevin Warsh’s Jackson Hole speech on Friday. His comments could significantly influence expectations for interest rates and Treasury yields, making it an important catalyst for the next major move in US30.
Technical Outlook:
Technically, US30 maintains a bullish structure as long as the price trades above the 53360 pivot line.
Stability above 53360 keeps bullish momentum active toward the first major resistance at 53750. A confirmed breakout above 53750 would strengthen the bullish structure and open the way toward 54070.
On the alternative scenario, a 4H candle close below 53360 would invalidate the current bullish structure and confirm stronger bearish momentum toward 53090. A further break below 53090 could expose the next support around 52780.
Pivot Line: 53360
Resistance: 53750 – 54070
Support: 53090 – 52780
Buyers step back in?Dow Jones (US30) is falling toward the pivot, which has been identified as a pullback support and could bounce toward the pullback resistance.
Pivot: 53,170.50
1st Support: 52,480.24
1st Resistance: 54,744.90
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Any opinions, news, research, analyses, prices, other information, or links to third-party sites contained on this website are provided on an "as-is" basis, are intended to be informative only, and are not advice, a recommendation, research, a record of our trading prices, an offer of, or solicitation for, a transaction in any financial instrument and thus should not be treated as such. The information provided does not involve any specific investment objectives, financial situation, or needs of any specific person who may receive it. Please be aware that past performance is not a reliable indicator of future performance and/or results. Past performance or forward-looking scenarios based upon the reasonable beliefs of the third-party provider are not a guarantee of future performance. Actual results may differ materially from those anticipated in forward-looking or past performance statements. IC Markets makes no representation or warranty and assumes no liability as to the accuracy or completeness of the information provided, nor any loss arising from any investment based on a recommendation, forecast, or any information supplied by any third party.
Diversification, Correlation, and the Limits of Trend FollowingDiversification sounds simple in theory: trade enough different things, spread the risk, and losses in one area should eventually be offset by gains elsewhere. In practice, it is much messier, especially for a trend-following strategy.
Trend following usually does not rely on a high win rate. Many viable systems seem to operate somewhere around 20% to 40% wins, with profitability coming from asymmetric payouts when a real trend develops. If a strategy wins only one trade out of three but the winners are several times larger than the losers, the system can still have a positive expectancy.
The problem is that low win rates naturally produce long losing streaks. At a 33% win rate, fifteen losses in a row are not some impossible statistical freak. Over a large enough number of trades, streaks like that eventually appear. Below roughly 20%, the situation becomes even more difficult because losing sequences can become enormous. A system might still work mathematically, but executing it consistently becomes psychologically and operationally much harder.
And this assumes that trades are independent. In financial markets, they usually are not.
The problem with correlation
If I take five European stock trades within the same few months, those trades may technically involve five different companies, but they are not necessarily five independent bets. Stocks in the same sector are correlated, different sectors are correlated, and entire national stock markets can become correlated when a strong macro force takes over.
There is also correlation through time. Market conditions on day one may still be influencing trades taken thirty or fifty days later. If the environment is hostile to a particular strategy, a whole sequence of apparently separate setups can fail for essentially the same reason.
This means that a theoretical fifteen-loss streak can turn into something much worse in practice. If several trades are exposed to the same underlying market regime, the losses arrive in clusters.
That is why I am skeptical when asset managers talk about holding dozens of genuinely uncorrelated equity positions. Twenty truly independent positions at the same time sounds unrealistic to me. Three to five meaningful sources of independent risk already seems much more plausible.
You can diversify equities across industries, countries and market capitalizations, but when there is a serious global repricing, the market has a habit of reminding everyone that they are still equities.
Until we can travel through wormholes and trade assets on economically isolated alien planets, perfect diversification remains largely theoretical.
Three different kinds of diversification
I separate diversification into three broad categories.
The first is **instrument diversification**. This includes diversifying across asset classes, geographical markets, sectors and market capitalizations. Stocks, currencies, commodities, bonds, indices and spreads all react to different forces, at least to some degree.
The second is **strategy diversification**. This means combining approaches such as trend following, mean reversion, different holding periods or different entry methods.
I am personally much less interested in this form of diversification. It sounds attractive on paper, but the more I look at it, the less convinced I am that running several similar trend-following systems adds much value. If they all try to capture roughly the same persistence in prices, their results will often be correlated anyway.
Why run several mediocre versions of the same idea if one strategy appears to be better?
If I eventually diversify by strategy, I would probably want the large majority of the allocation — perhaps 80% or more — in the system I trust most, leaving a smaller amount for variations, secondary systems or perhaps some mean reversion. I might also use those secondary strategies only when the main system produces very few opportunities rather than forcing myself to trade them constantly.
The third form is **operational diversification**. Even a perfectly diversified trading strategy still has another problem if all the capital sits with one broker, one bank or one counterparty. Futures, options and spot markets also involve different operational structures. Spreading capital between institutions does not improve trading expectancy, but it reduces the risk of one external failure becoming catastrophic.
That is diversification for survival rather than diversification for returns.
My preferred approach: diversify the instruments, not the core idea
Instead of constantly adding new strategies, I prefer applying one strategy to as many suitable instruments as possible.
A large universe has an important advantage: it allows me to become more selective. If I monitor only fifty stocks, I may feel pressure to take mediocre setups because opportunities are scarce. If I monitor hundreds of stocks, currencies and commodities, I can demand much cleaner conditions and simply reject marginal trades.
I can also maintain a secondary watchlist. When the main list is producing plenty of setups, I ignore it. When opportunities become scarce, I can carefully inspect the extended universe rather than weakening my entry criteria.
That said, a huge list does not automatically mean a huge amount of diversification. Adding another five hundred stocks does not create five hundred independent opportunities. During a broad crisis, American, European and Japanese stocks can all become exposed to the same global risk-off environment.
At that point, adding more equities may do very little. The solution is not necessarily a larger stock universe but a broader set of asset classes.
Why wars and crisis periods are difficult
Wars are a useful example because they show both the strengths and weaknesses of trend following, and the limits of diversification.
At the beginning of a major conflict, many/most markets often become violent and disorderly. Prices gap, volatility rises, liquidity deteriorates and correlations increase. A market can break out sharply, reverse, move again and reverse once more as investors react to headlines, government responses and rapidly changing expectations. No matter how many various stocks you trade, they might all just give false entry signals and all fail because of the uncertainty.
This kind of environment can manufacture patterns everywhere. Someone trading double bottoms may suddenly see double bottoms on every chart. Someone trading ABC structures may see ABC structures everywhere. That does not necessarily mean those patterns have become more predictive; increased volatility can simply generate more shapes that resemble them.
For trend following, the first phase of a crisis can therefore be extremely awkward. A market makes a huge initial move, the system enters after the breakout, policymakers or investors respond, and price immediately snaps back. Tight stops make the problem worse.
But that is only the first phase.
Wars can later create some of the strongest macro trends because they alter real economic conditions for months or years. Energy supplies are disrupted, shipping routes change, sanctions redirect trade flows, inflation expectations shift and central banks reprice interest rates. Safe-haven currencies can move strongly, while grains, metals and energy markets may face genuine physical shortages.
A common sequence is therefore:
**initial shock and whipsaw → repricing → sustained trend**
The Russia–Ukraine shock in 2022 is a good modern example. The initial reaction was violent, but the lasting opportunity for diversified trend followers came from persistent moves in commodities, currencies, bonds and other macro markets.
For someone trading over several weeks or months, day one may be dangerous while the following months become extremely attractive.
The important variable is not “war” itself. What matters is whether the event creates a persistent new regime.
Why commodities and currencies are so useful
This is one reason I particularly like commodities and foreign exchange.
Commodities can have drivers that are almost completely unrelated to the individual-company factors affecting stocks. Oil can trend because of sanctions or OPEC policy. Natural gas can trend because of storage levels or weather. Wheat can trend because of drought. Copper can trend because of Chinese industrial demand. Gold can trend because of monetary expectations or a flight toward perceived safety.
These markets are not perfectly independent, but they contain much more genuinely different information than simply adding another national stock exchange.
Foreign exchange can also remain highly active when stock markets become difficult. A global crisis may destroy follow-through in equities while simultaneously creating a persistent dollar or yen trend. Investors do not necessarily leave American stocks and buy Australian stocks. Sometimes they leave risky assets altogether, reduce leverage or move toward safer currencies and government debt.
That can create a much cleaner trend outside the equity universe.
Government bonds and interest-rate markets are interesting for the same reason. In traditional portfolio theory, bonds are valuable when they rise as equities fall. But for a trend follower, that relationship is not even necessary.
During an inflationary shock, stocks and bonds may both decline. For a passive investor, that is poor diversification. For a trend follower, a sustained decline in bond prices can still be an excellent opportunity.
The direction is secondary. Persistence is what matters.
Relative-value spreads may go one step further
Spreads and ratios are another area I find potentially interesting.
Suppose Brent crude and WTI crude are both choppy, but Brent consistently outperforms WTI. Neither outright chart may provide a particularly clean signal, yet the Brent/WTI (or Brent - WTI) relationship can develop a persistent trend.
The same idea can apply to equities. Microsoft and Apple might both decline, but if Microsoft consistently falls less than Apple, the MSFT/AAPL ratio rises. The relative trade is no longer primarily about whether U.S. technology stocks are going up or down. It is about which company is performing better.
That potentially removes some of the common market exposure.
This may be particularly interesting during crisis periods. Absolute stock trends can become unreliable because the whole market is being pushed around by the same macro uncertainty. Relative trends may survive because one sector, country or company can continue gaining ground against another even while both move erratically in absolute terms.
I do not yet know how large these edges are. They may be smaller than outright trend-following opportunities, and spreads introduce their own complications in sizing, volatility and execution.
Still, the idea is worth testing because they may provide something normal geographic diversification cannot: a way of extracting trends from relative performance when absolute markets are hostile.
The limits of diversification
No matter how many instruments I add, I do not think diversification can completely solve the problem of hostile market regimes.
There will be periods where correlations rise, volatility becomes violent and every portfolio manager on the planet is constantly repositioning. In those moments, even apparently independent markets may stop giving clean follow-through.
There is a hard limit here.
More instruments help. More asset classes help. Spreads may help. But sometimes the environment itself simply does not reward trend following.
That is why risk management has to assume diversification will occasionally fail.
A hypothetical framework could involve risking around 0.5% per trade, limiting exposure to perhaps 1% per correlated cluster, keeping individual asset-class risk below something like 2%, and capping total open risk around 5%. The precise numbers are not important here; the principle is.
I also do not want to repeatedly take the same underlying idea. If I already have several positions driven by essentially the same macro factor, another visually different chart may not really be another trade.
The same logic applies through time. If a particular market idea has already produced several similar trades within a few months, I should at least be aware that I may be repeatedly betting on the same environment.
Drawdown rules can provide another layer of defense. A meaningful drawdown should trigger a review of trade history, correlations and market conditions. A deeper drawdown should lead to reduced risk. At some predetermined point, trading should stop entirely until the cause is understood.
The exact thresholds matter less than defining them before the drawdown occurs.
No discretionary rebalancing
One thing I do not want to introduce is constant discretionary rebalancing.
I do not have a team of traders working for me, and I do not want to wake up one morning and suddenly decide that I have “too much” exposure to one area because the recent positions make me uncomfortable.
If a setup satisfies the rules, I want to take it.
There was no discretionary rebalancing in the backtest, so introducing it live would create a different strategy. If the system produces an uncomfortable cluster of signals, that discomfort is part of the strategy unless I have a predefined risk rule saying otherwise.
Skipping trades selectively can be especially dangerous because the trade I decide not to take may be the one that pays for the previous losses.
If concentration is genuinely a problem, I would rather solve it systematically through position sizing, cluster limits or instrument selection than by improvising after seeing the signals.
Conclusion
Diversification is useful, but it does not abolish market reality.
A portfolio can contain hundreds of stocks and still behave like one trade during a crisis. Several trend-following systems can still lose together because they are responding to the same underlying price behavior. International diversification can disappear exactly when it is needed most.
The goal is therefore not infinite diversification. It's a useful tool, but as usual it's the latest "holy grail" that gets overly hyped way beyond what it actually is. At some point you hit a limit.
The goal is to create several genuinely different sources of opportunity while keeping the strategy simple enough to understand and execute.
For me, that means concentrating primarily on one trend-following approach and applying it across a broad universe of stocks, currencies, commodities, bonds, indices and potentially relative-value spreads. A small amount of strategy diversification may eventually make sense, but I see much more value in expanding the opportunity set than in constantly inventing new systems.
There will still be periods when markets become violent, correlated and directionless, and nothing follows through properly. No portfolio construction trick can guarantee protection from that. The objective is not to eliminate those periods. Something that is "all weather" either catches 0 alpha, or very little, or is a lie, in all cases it's a marketting ploy.
The key is to survive crisis without damaging the strategy so badly that I am no longer there when the next persistent trend appears.
DOW JONES Correction to 48000 and the 1W MA100 possible.Dow Jones (DJIA) has been trading within an 8-year Channel Up who topped on the first week of this month. With the 1W RSI on a Double Top formation, which was a pattern peak signal, a technical correction back to its 1W MA100 (green trend-line) is possible.
Out of the six times since 2018 that the 1W RSI formed either a Double Top or a Lower Highs bearish divergence, the index pulled back to at least its 1W MA100, four times. The most recent was on the April 2025 Low, while March 2026 'only' managed to hit the 1W MA50 (blue trend-line).
Regardless of which MA it hit, Dow has always given the most optimal long-term Buy Signal when the 1W RSI hit its Support Zone. If it does that, we will switch back to long-term buyers again, until then we expect Dow to target its 1W MA100 around 48000.
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DowJones bias is cautiously bullishMarket sentiment has turned more positive overnight following Nvidia’s results, which provided fresh support for the AI and technology trade. Revenue guidance of $108bn versus $105.2bn expected, together with management’s expectation of around 70% revenue growth next fiscal year, reinforced confidence that strong AI demand can continue into 2027.
Nvidia gained 4.7% after-hours, while S&P 500 futures rose 0.48% and Nasdaq futures 0.83%. Positive results from Salesforce and CrowdStrike added further support to the technology sector.
The main counterweight remains US interest-rate expectations. July core PCE was in line at +0.2% m/m, but the underlying details were viewed as somewhat inflationary. This pushed 2-year Treasury yields up 3.6bps to 4.21%, while markets priced slightly more Fed tightening over the coming months.
Oil remains another important variable. Brent fell 0.84% to $87.84, despite uncertainty surrounding a potential agreement over the Strait of Hormuz, and is lower again this morning. A sustained decline in oil would help ease inflation and support equities.
Dow Jones Trading Conclusion
The near-term bias for the Dow Jones is cautiously bullish, although probably less pronounced than for the Nasdaq because the Dow has less direct exposure to the AI/technology trade.
The strongest positive signal is the broader improvement in risk sentiment following Nvidia’s earnings. If US futures maintain their overnight gains into the cash open, the Dow could initially push higher and retest recent resistance/highs.
However, traders should watch US Treasury yields and the weekly jobless claims data closely. A renewed rise in yields could limit gains, particularly if the data reinforces expectations that the Fed will remain restrictive. Conversely, weaker labour-market data combined with stable or falling yields would provide a stronger bullish environment for equities.
Trading view: Bullish above the previous session’s high, with momentum favouring a move towards recent Dow highs. A failure to hold the opening gains, particularly if Treasury yields rise, would increase the risk of a reversal back towards near-term support.
Key drivers today: Nvidia/AI sentiment → US yields → jobless claims → oil prices → Jackson Hole expectations.
Key Support and Resistance Levels
Resistance Level 1: 54258
Resistance Level 2: 54500
Resistance Level 3: 54760
Support Level 1: 53153
Support Level 2: 52720
Support Level 3: 52220
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US30 Pullback Expected! Sell!
Hello,Traders!
US30 is facing renewed rejection beneath the horizontal supply area after a liquidity sweep, with distribution at premium supporting bearish continuation toward the target level.Time Frame 4H.
Sell!
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US30 — One Break Could Unlock the Next Move💰 US30 has been moving sideways after the previous strong bullish expansion, with price repeatedly respecting the boundaries of the current structure.
The market is now trading above the Golden Zone, while a rising dynamic support is supporting the recovery from the recent low.
🏆 Previously:
📈 Bullish scenario
The current structure still gives the bulls room to continue higher.
If price breaks above the current consolidation and clears the nearby resistance, we could see another bullish expansion toward the upper zone around 54.6K–54.7K.
A clean breakout from the current structure would also confirm that buyers are successfully defending the recovery.
Golden Zone → breakout → bullish expansion.
📉 Bearish scenario
The key level to watch on the downside is the Golden Zone together with the rising dynamic support.
If price breaks below this area, the current bullish structure could weaken significantly and we could see a deeper retracement.
The first major downside area would be the lower 51.4K zone, followed by the deeper 50.8K area if sellers continue to gain control.
Dynamic support → breakdown → deeper retracement.
🎯 Outlook
US30 is currently sitting inside an important decision area.
The recent recovery has been supported by the rising dynamic support, while the Golden Zone is acting as the main structural floor underneath price.
As long as this structure holds, another attempt toward the upper zone remains possible.
Break the resistance → bullish expansion.
Lose the Golden Zone + dynamic support → downside opens up.
The next clean break should give us a much clearer signal about where the larger move is heading.
US30 Risky Short! Sell!
Hello,Traders!
US30 is testing the horizontal supply area after an aggressive rally, where a liquidity sweep and distribution may trigger bearish displacement toward the lower imbalance and marked target.Time Frame 3H.
Sell!
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