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U.S. Dollar / Euro

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USDEUR trade ideas

EURUSD DROPPING ?? OR THIS IS JUST RETESTING EUR/USD has recently experienced a bearish rising wedge breakout, a pattern that typically signals a potential downtrend reversal. Currently, the pair is undergoing a retest phase, a common occurrence where the price revisits the broken support level before resuming its downward trajectory. This phase is crucial for traders as it often determines whether the breakout was genuine or if price action will invalidate the move. As of March 20, 2025, the EUR/USD is trading around 1.085, with a target price set at 1.070. The retest phase offers traders an opportunity to enter short positions, anticipating further declines toward the target. It's essential to monitor key support levels during this period, particularly around 1.0767, where buyers have previously stepped in. A strong rejection from this level could accelerate bearish momentum, pushing the pair lower in alignment with the breakout pattern. Fundamental factors are also shaping the current market sentiment. The recent FOMC decision to maintain interest rates has kept the U.S. dollar in a relatively strong position, while the European Central Bank has taken a more cautious approach regarding rate cuts. This divergence in monetary policy between the Fed and ECB may add further pressure on the euro, making the bearish setup more compelling. Additionally, any unexpected macroeconomic data releases, such as U.S. inflation numbers or Eurozone GDP data, could further influence price action. Traders should closely watch for confirmation signals during the retest phase, such as bearish rejection candles or increased selling volume. Implementing proper risk management strategies, such as stop-loss placement above the broken support level, is crucial to navigating potential reversals. If the bearish momentum continues as expected, EUR/USD could hit the 1.070 target in the coming sessions, providing a profitable short trade opportunity.
Short
by AndrewsMarket-Mastery
7
Looking for shorts on EUR/USD on pullback from previous EU seshLooking for a retrace, new liq. sweep that will make an nice order block then enter on BOS confirmation. These confluences will give a solid short position with a nice 2R with a good stop buffer and previous session highs. This draw down is result of bad EU news and the US not cutting the interest rates just yet leading to a strong dollar. These shorts will probably not take out the full move on EUR/USD but this pull back and short is highly likely to play out with the end of the week near. Comment below what you think.
Short
by jasonrraynor
EURUSD - Expecting further correctionGiven the CH the 4-hour timeframe, we expect further correction. Given the signs on the 15-minute timeframe, it seems that today we are witnessing a 4-hour pullback. The price, moving up, can clear the liquidity before the order block at 1.08596 and bring itself to the order block. If we see a CH on the 15-minute timeframe in this order block, we can open sell position to reach the range of 1.07965-1.07814. However, if the order block 1.08632-1.08697 is broken with high momentum, the price can continue to decline from higher areas. Everything is clear on the chart. I hope this analysis was useful for you. Be profitable
Short
by alixjey
1
EURUSD The Target Is UP! BUY! My dear friends, EURUSD looks like it will make a good move, and here are the details: The market is trading on 1.0826 pivot level. Bias - Bullish Technical Indicators: Supper Trend generates a clear long signal while Pivot Point HL is currently determining the overall Bullish trend of the market. Goal - 1.0873 About Used Indicators: Pivot points are a great way to identify areas of support and resistance, but they work best when combined with other kinds of technical analysis Disclosure: I am part of Trade Nation's Influencer program and receive a monthly fee for using their TradingView charts in my analysis. ——————————— WISH YOU ALL LUCK
Long
by AnabelSignals
1
Three Possible Scenarios for EURUSDEURUSD has flattened out after its strong upward move from around 1.0350 to 1.0950. The bullish momentum has eased, with Europe’s new spending plans priced in, most of the tariff impact accounted for, and markets digesting the FOMC forecasts. Now, the focus shifts to the next major decision point. There are three possible scenarios: 1-This is a double top formation around 1.0950. If 1.08 breaks, the formation target is at 1.0650, which is also the midpoint of the rally from 1.0350 to 1.0950. It’s a classic technical setup, and fundamentals such as a potential escalation in trade tensions when the April 2 tariffs come into effect could support this move. 2- The second scenario is that this is a consolidation phase before the next leg higher. In this case, the current movement forms a flag pattern, and a breakout would aim for 17 years long downtrend line just above 1.11. For this to materialize, a clear breakout above 1.0950 with strong fundamental support is required. 3- The market may stay indecisive due to the high level of risks and unknowns. In this case, EURUSD would likely continue moving sideways, possibly with minor corrections or false breakouts on both ends, before a clearer direction emerges. Our view favors the first scenario as the most probable outcome, though all three have valid technical and fundamental reasoning behind them. We lean toward the first scenario because sharp upward moves like this typically require a healthy correction, the risk of trade war escalation increases with each new statement from Trump, and the technical setup aligns well with this narrative.
by ftdsystem
Machine Learning Algorithms for Forex Market AnalysisMachine Learning Algorithms for Forex Market Analysis Machine learning is transforming the currency trading landscape, offering innovative ways to analyse market trends. This article delves into how machine learning algorithms are reshaping forex trading. Understanding these technologies' benefits and challenges provides traders with insights to navigate the currency markets potentially more effectively, harnessing the power of data-driven decision-making. The Basics of Machine Learning in Forex Trading Machine learning for forex trading marks a significant shift from traditional analysis methods. At its core, machine learning involves algorithms that learn from and provide signals based on data. Unlike standard trading algorithms, which operate on predefined rules, these algorithms adapt and improve over time with exposure to more data. Machine learning forex prediction algorithms analyse historical and real-time market data, identifying patterns that are often imperceptible to the human eye. They can process a multitude of technical and fundamental factors simultaneously, offering a more dynamic approach to analysing market trends. This capability can allow traders to make more informed decisions about when to buy or sell currency pairs. The increasing availability of market data and advanced computing power has made machine learning an invaluable tool in a trader's arsenal. Types of Machine Learning Algorithms in Forex Trading In the realm of forex trading, various machine-learning algorithms are utilised to decipher complex market patterns and determine future currency movements. These algorithms leverage forex datasets for machine learning, which encompass historical price data, economic indicators, and global financial news, to train models for accurate analysis. - Support Vector Machines (SVMs): SVMs are particularly adept at classification tasks. In forex, they analyse datasets to categorise market trends as bullish or bearish, helping traders in decision-making. - Neural Networks: These mimic human brain functioning and are powerful in recognising subtle patterns in market datasets. They are often embedded in forex forecasting software to determine future price movements based on historical trends and fundamental data. - Linear Regression: This straightforward approach models the relationship between dependent and independent variables in forex data. It's commonly used for its simplicity and effectiveness in identifying trends. - Random Forest: This ensemble learning method combines multiple decision trees to potentially improve analysis accuracy and reduce overfitting, making it a reliable choice in the forex market analysis. - Recurrent Neural Networks (RNNs): Suited for sequential data, RNNs can be effective in analysing time-series market data, capturing dynamic changes over time. - Long Short-Term Memory (LSTM) Networks: A specialised form of RNNs, LSTMs are designed to remember long-term dependencies, making them effective tools for analysing extensive historical forex datasets. Benefits of Machine Learning in Forex Trading Machine learning offers significant advantages for forex analysis. Its integration into forex prediction software may enhance trading strategies in several key ways: - Real-Time Data Analysis: Algorithms excel in analysing vast amounts of real-time data, which is crucial for accurate forex daily analysis and prediction. - Automated Trading: These algorithms automate the buying and selling process, which may increase efficiency and reaction speed to market changes. - Enhanced Market Understanding: It helps in dissecting historical market data, providing a deeper understanding for informed decision-making. - Accuracy in Analysis: Software powered by machine learning offers superior analysis abilities, leading to potentially more precise and timely trades. - Risk Reduction: By minimising human error and maintaining consistency, machine learning may reduce trading risks, contributing to a safer trading environment. Challenges and Limitations Machine learning in currency trading, while transformative, comes with its own set of challenges and limitations: - Data Quality and Availability: Accurate machine learning analysis depends on large volumes of high-quality data. Forex markets can produce noisy or incomplete data, which can compromise the reliability of the analysis and signals. - Complexity and Overfitting: Developing effective algorithms for forex trading is complex. There's a risk of overfitting, where models perform well on training data but poorly in real-world scenarios. - Interpretability Issues: Machine learning models, especially deep learning algorithms, can be "black boxes," making it difficult to understand how decisions are made. This lack of transparency can be a hurdle in regulatory compliance and trust-building. - Regulatory Challenges: Currency markets are heavily regulated, and incorporating machine learning must align with these regulatory requirements, which can vary significantly across regions. - Cost and Resource Intensive: Implementing machine learning requires significant computational resources and expertise, which can be costly and resource-intensive, especially for smaller trading firms or individual traders. The Bottom Line Machine learning represents a paradigm shift in forex trading – it may offer enhanced analysis accuracy and decision-making capabilities. While challenges like data quality, complexity, and regulatory compliance persist, the benefits of advanced algorithms in understanding and navigating market dynamics are undeniable. For those looking to trade forex, opening an FXOpen account could be a step towards a wide range of markets, lightning execution and tight spreads. 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
EURO - Price can decline to support level and then bounce upHi guys, this is my overview for EURUSD, feel free to check it and write your feedback in comments👊 Some time ago price started to grow inside a rising channel, where it at once bounced down from $1.0415 level. Then it turned around and rose to the resistance line of the channel in a short time, but soon fell back, making a gap also. Euro rose to $1.0415 level and broke it, after which some time traded near it and then made an upward impulse. Price exited from a rising channel and reached $1.0825 level, broke it, and started to grow inside another channel. In this channel, price reached resistance line, after which it corrected to support level and then continued to grow. So, in my opinion, Euro can decline to support level and then it bounce up to $1.1050 If this post is useful to you, you can support me with like/boost and advice in comments❤️
Long
by WalterMoon
11