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AUD_JPY SHORT FROM RESISTANCE| ✅AUD_JPY will be retesting a resistance level of 93.500 soon From where I am expecting a bearish reaction With the price going down but we need To wait for a reversal pattern to form Before entering the trade, so that we Get a higher success probability of the trade SHORT🔥 ✅Like and subscribe to never miss a new idea!✅ Disclosure: I am part of Trade Nation's Influencer program and receive a monthly fee for using their TradingView charts in my analysis.
Short
by ProSignalsFx
1
What Is SMT Divergence, and How Can You Use It in Trading?What Is SMT Divergence, and How Can You Use It in Trading? SMT divergence, or Smart Money Technique divergence, is a concept used by traders to analyse imbalances in correlated markets. By identifying when price movements deviate between related instruments, traders can uncover potential shifts in market momentum, often linked to institutional activity. This article explores what SMT divergence is, how SMT divergence trading works, and its practical applications. What Is SMT Divergence? SMT divergence, short for Smart Money Technique divergence, refers to a specific type of price discrepancy between two correlated financial instruments. Part of the Inner Circle Trader (ICT) methodology, this divergence is often interpreted as a sign of institutional or "smart money" activity, as it highlights potential inefficiencies or imbalances in the market. Here’s how an ICT SMT divergence works: correlated instruments—like EUR/USD and GBP/USD in forex, or major stock indices like the S&P 500 and NASDAQ—typically move in the same direction under normal market conditions. SMT divergence occurs when one instrument makes a higher high or lower low, while the other fails to follow suit. This inconsistency suggests that buying or selling pressure may be uneven across these markets, often caused by larger market participants adjusting their positions. For example, if EUR/USD forms a new high, while GBP/USD lags behind and fails to break its previous high. This divergence could indicate waning momentum in one pair, hinting at a potential reversal or shift in the overall market structure. Traders analysing SMT divergence often see these moments as key opportunities to assess whether institutional players might be involved. To identify an SMT divergence, you can monitor two correlated assets’ charts and observe discrepancies. Also, there are SMT divergence indicators for MT4, MT5, and TradingView available online that can automate the process. The Core Components of SMT Divergence SMT divergence relies on three key components: correlated instruments, divergence between price movements, and the involvement of institutional players. Understanding these elements is crucial for applying this concept. 1. Correlated Instruments At the heart of SMT divergence is the relationship between correlated markets. These are instruments that typically move in tandem due to shared economic drivers. For instance, in forex, pairs like EUR/USD and GBP/USD often exhibit similar trends because they’re influenced by the strength of the US dollar, as well as their close regional ties and trade relationships. In equities, indices like the Nasdaq 100 and S&P 500 often align because they reflect broader market sentiment and contain overlapping stocks. 2. Divergence in Price Movements The divergence occurs when these typically correlated instruments fail to move in sync. For example, one instrument may reach a higher high, while the other stalls or even reverses. This mismatch is more than just noise—it can signal a deeper imbalance in the market, often linked to uneven supply and demand dynamics. It’s these price discrepancies that traders scrutinise to identify potential turning points. 3. Institutional Activity One of the reasons SMT divergence is so closely watched is its potential link to smart money behaviour. Institutions often use correlated instruments to mask their actions, creating subtle imbalances that only become apparent through careful analysis. For instance, when one correlated pair lags, it might reflect deliberate accumulation or distribution by larger players. How Traders Analyse SMT Divergence Analysing SMT divergence helps in understanding the nuanced relationship between correlated instruments and interpreting these imbalances correctly. Unlike leading correlations—such as oil influencing the Canadian dollar—SMT divergence doesn’t rely on one asset consistently driving the other. Instead, it focuses on shifts in momentum where neither instrument is the leader, but their combined behaviour hints at potential market moves. Identifying Divergence Traders start by observing price action in two correlated instruments or timeframes. SMT divergence becomes apparent when one instrument forms a higher high or lower low, while the other fails to do so. For example, if EUR/USD makes a higher high, but GBP/USD stalls below its previous peak, this inconsistency could signal fading bullish momentum in the broader market. The key is that neither asset leads; instead, the divergence itself provides the signal. Some common correlations traders use include: - Forex Pairs: EUR/USD and GBP/USD USD/JPY and USD/CHF DXY and USD/CAD - Cryptocurrencies*: BTC/USD and ETH/USD - Equity Indices: S&P 500 and NASDAQ FTSE 100 and DAX - Treasuries: US 10-Year Treasury Yield and USD/JPY - Commodities: Brent Crude and WTI Crude Oil Interpreting Divergence at Extremes SMT divergence is particularly significant when it occurs at market highs or lows. When divergence appears at highs—such as one instrument making a higher high while the other fails—it often signals a potential bearish reversal in the stronger instrument. Conversely, at lows, if one makes a lower low while the other holds firm, it may indicate a potential bullish reversal in the weaker one. This imbalance highlights where momentum might shift. Adding Context Traders rarely rely on an SMT divergence strategy alone. They often look for supporting evidence, such as volume analysis, market structure shifts, or order flow data, to confirm the signal. For instance, divergence combined with signs of institutional selling near a high could strengthen the case for a bearish move. SMT Divergence in Different Market Conditions SMT divergence behaves differently depending on market conditions, offering traders insights that vary between trending and ranging environments. Its effectiveness hinges on the context in which it appears, so understanding how it adapts to different scenarios is key. Trending Markets In trending markets, SMT divergence often signals potential reversals or pauses in momentum. For example, in a strong uptrend, divergence at a new high (where one correlated instrument makes a higher high while the other does not) can indicate waning buying pressure. This inconsistency might suggest that institutional players are beginning to reduce their positions or shift market direction. A similar principle applies in downtrends: divergence at a fresh low, where one instrument breaks lower while the other doesn’t, could signal that bearish momentum is losing steam. Traders often use these moments to reassess their analysis and consider the possibility of a reversal or pullback within the trend. Ranging Markets In a range-bound environment, SMT divergence takes on a different role. Rather than hinting at trend reversals, it often highlights potential breakouts or false moves. For instance, during a consolidation phase, if one correlated instrument makes a sharp move outside the range while the other stays contained, it may signal that the breakout is unsustainable and a reversal back into the range is likely. Alternatively, if both instruments diverge significantly at the edges of the range, it could suggest that smart money is accumulating or distributing positions in preparation for a breakout. Different Asset Classes SMT divergence isn’t limited to one market type. In forex, it often reveals imbalances caused by macroeconomic drivers like central bank policies. In equities, it can signal sector rotation or institutional adjustments. Commodities, particularly oil or gold, may show divergence influenced by supply and demand dynamics. Limitations and Common Misconceptions While SMT divergence is a powerful tool for analysing market imbalances, it’s important to understand its limitations and avoid common misconceptions. Misinterpreting divergence can lead to flawed decisions, especially if it’s viewed in isolation or without proper context. Limitations - False Signals: Not all divergences indicate institutional activity or meaningful shifts in the market. Low liquidity or erratic price movements can create divergence that doesn’t hold significance. - Context Dependency: SMT divergence requires a solid understanding of market conditions. Its reliability decreases in highly volatile or choppy environments where correlations break down temporarily. - Not a Standalone Tool: Relying solely on SMT divergence can be risky. Traders use it alongside other forms of analysis, such as market structure or volume data. Common Misconceptions - Always Linked to Institutional Activity: Not every instance of SMT divergence involves smart money. Divergences can also result from retail trading activity or macroeconomic events. - Predicting Market Direction: SMT divergence doesn’t guarantee outcomes; it highlights imbalances. Further analysis is needed to evaluate whether the market will reverse, continue, or consolidate. - Universal Applicability: While it works across various markets, not all instruments are equally suitable for SMT divergence due to differences in liquidity or drivers. Practical Applications of SMT Divergence SMT divergence is a versatile analytical method that traders use to refine their strategies and deepen their understanding of market dynamics. Here’s how it’s typically applied in practice: Identifying Market Turning Points One of the most common uses of SMT divergence is spotting potential reversals. When divergence appears at key highs or lows, it often signals that momentum is shifting. When combined with other common trading tools, such as support and resistance, as well as ICT methodology concepts like order blocks and fair value gaps, this can be used to time entries or adjust risk exposure. Potentially Enhancing Risk Management SMT divergence can potentially enhance risk management by offering early warnings about changes in market conditions. If divergence aligns with other factors—such as weakening volume or significant resistance/support levels—it can serve as a signal to tighten stops or reduce position sizes, depending on the trader’s broader approach. At the same time, it can also provide clear boundaries for setting stop losses. If a trader has confidence that a reversal in one asset is likely due to an SMT divergence, then a stop loss can be placed immediately after the maximum or minimum of the divergence. The Bottom Line The SMT divergence is a valuable tool for understanding market imbalances and spotting potential turning points. By combining it with other analysis methods, traders can gain deeper insights into price action. FAQ What Does Divergence Mean in Trading? Divergence in trading refers to a mismatch between the price action of an asset and a technical indicator or between two correlated instruments. It often signals a potential change in trend, as the imbalance suggests a shift in market momentum. What Is SMT in Trading? SMT in trading stands for Smart Money Technique. SMT divergence is one of the ICT trading concepts. It focuses on identifying market imbalances that may reflect the activity of institutional traders, seen through divergence between correlated instruments. What Does SMT Divergence Mean? The SMT divergence meaning refers to an occasion when two correlated instruments fail to move in sync. One can make a higher high while the other does not or one can make a lower low while the other doesn’t. This indicates potential smart money involvement and signals a possible trend shift. What Is an Example of SMT Divergence? A common example is in forex, where EUR/USD forms a higher high, but GBP/USD does not. This divergence could suggest fading bullish momentum, signalling a possible reversal in EUR/USD. What Is the Strongest Divergence Indicator? While SMT divergence itself is powerful, traders often combine it with indicators like RSI or volume profiles for added confirmation. The strongest signals come from divergence paired with a broader market context. *Important: At FXOpen UK, Cryptocurrency trading via CFDs is only available to our Professional clients. They are not available for trading by Retail clients. To find out more information about how this may affect you, please get in touch with our team. This article represents the opinion of the Companies operating under the FXOpen brand only. It is not to be construed as an offer, solicitation, or recommendation with respect to products and services provided by the Companies operating under the FXOpen brand, nor is it to be considered financial advice.
Education
by FXOpen
1
DOW JONES Free Signal! Sell! Hello,Traders! US30 made a nice bullish Rebound from the lows it Plunged towards during the High volatility of the last weeks But now that the market seems To have calmed down a bit we Are seeing a retest of the Horizontal resistance of 40,725 And a local pullback so we are Locally bearish biased, therefore We can enter a short trade With the Take Profit of 39,700 And the Stop Loss of 40,956 Sell! Comment and subscribe to help us grow! Check out other forecasts below too! Disclosure: I am part of Trade Nation's Influencer program and receive a monthly fee for using their TradingView charts in my analysis.
TRADENATION:US30Short
by TopTradingSignals
2
AUD_USD BULLISH BREAKOUT|LONG| ✅AUD_USD is going up now And the pair made a bullish Breakout of the key horizontal Level of 0.6200 which is now A support and the breakout Is confirmed so we are locally Bullish biased and we will be Expecting a further move up After a potential pullback LONG🚀 ✅Like and subscribe to never miss a new idea!✅

 Disclosure: I am part of Trade Nation's Influencer program and receive a monthly fee for using their TradingView charts in my analysis.
Long
by ProSignalsFx
1