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Euro / U.S. Dollar Currency Pair | Chart & Forecast SummaryKey Indicators On Trade Set Up In General 1. Push Set Up 2. Range Set up 3. Break & Retest Set Up Notes On Session # Euro / U.S. Dollar Currency Pair - Double Formation * Trend Line 1 & 2 | Completed Survey | Subdivision 1 * Pattern Structure | Supply Zone At 1.12000 USD - Triple Formation * Retracement | A+ Set Up | Subdivision 2 * 012345 | Wave Count Completed | Subdivision 3 * Daily Time Frame | Entry Survey Settings Active Sessions On Relevant Range & Elemented Probabilities; European Session(Upwards) - US-Session(Downwards) - Asian Session(Ranging) Conclusion | Trade Plan Execution & Risk Management On Demand; Overall Consensus | Sell
Short
by TradePolitics
1
EURUSD BULLISH OUTLOOK | ( READ THE CAPTION )hello dear traders ! current situation currently market running near our demand zone at the price of 1.03950 and our demand zone level is 1.03769 / 1.03543 we are accepting bullish move from our demand zone and our target is 1.05046 level because here is our supply zone in 4h potential trade setup entry zone 1.03769 / 1.03543 target 1.05046 stop loss 1.03151 Risk Management : Always use stop-loss orders to limit potential losses. Adjust your position size based on your risk tolerance and account balance. Please support me with your likes and comments to motivate me to share more analysis with you and share your opinion about the possible trend of this chart with me!
Long
by TheForexAdventures
EURUSD The Target Is UP! BUY! My dear friends, Please, find my technical outlook for EURUSD below: The instrument tests an important psychological level 1.0394 Bias - Bullish Technical Indicators: Supper Trend gives a precise Bullish signal, while Pivot Point HL predicts price changes and potential reversals in the market. Target - 1.0463 About Used Indicators: Super-trend indicator is more useful in trending markets where there are clear uptrends and downtrends in price. ——————————— WISH YOU ALL LUCK
Long
by AnabelSignals
1
EURUSD SELL NOW EURUSD (Euro vs. US Dollar) - 2H Chart Analysis The EURUSD pair has shown a strong recovery from its recent lows, forming a higher low pattern around the 1.038 support area. A corrective ascending channel previously dominated, but a breakout followed by a pullback to the critical support zone suggests a shift in momentum. Currently, the price is approaching a key resistance zone near 1.046. A rejection here could lead to a deeper retracement targeting 1.04180 and further down to 1.03819, aligning with Fibonacci and historical support levels. Alternatively, sustained momentum above 1.046 could invalidate the bearish scenario and lead to a continuation toward 1.05. Traders should watch for confirmation candles and volume increases to define the next directional move. Plan: Stay vigilant for sell signals near resistance or strong breakout confirmations above key levels.
by FOREXQUEEN_1
4
The Data Secret Every Trader Needs!Master Data-Driven Decision Making for Ultimate Trading Success In the unpredictable world of financial markets, data-driven decision-making has become an indispensable asset for traders aiming to maximize their success. Studies reveal that traders who harness the power of data can potentially boost their success rate by over 50%. As we delve into the modern trading landscape, relying solely on instinct is no longer sufficient; a systematic, data-centric approach is necessary for informed decision-making. The Essence of Data-Driven Decision Making At its core, data-driven decision-making involves leveraging quantitative and qualitative data to guide trading strategies. This encompasses rigorous analysis of historical price movements, market trends, and economic indicators to inform investment choices. By employing this analytical lens, traders can uncover insights that are often obscured by subjective judgments or anecdotal experiences. This method mitigates emotional biases, fostering a disciplined trading approach. Analyzing robust data sets not only aids in minimizing risks but also enhances return on investment. Traders who embrace this systematic approach can continuously refine their methods, adapting to the ever-evolving market landscape. Categories of Data in Trading Understanding the various types of data available is crucial for traders to make informed decisions. Three primary categories of data—market, fundamental, and sentiment—serve as the bedrock of effective trading strategies. Market Data Market data encompasses vital information such as price movements, trading volume, and overall market trends. Price fluctuations highlight potential entry and exit points, while trading volume offers insights into the strength of those movements. By analyzing this data, traders can align their strategies with prevailing market conditions—whether bullish or bearish—allowing for informed and timely trading decisions. Fundamental Data Fundamental data is critical for assessing the economic and financial health of assets. This includes economic indicators like GDP growth or inflation rates, earnings reports from individual companies, and significant news events that may impact market conditions. By incorporating this information into their analyses, traders can make investment decisions that reflect both broader economic trends and company-specific performance metrics. Sentiment Data Sentiment data gauges market psychology, reflecting how traders feel about particular assets through tools that analyze social media, news, and investor surveys. Understanding market sentiment can uncover potential reversals or validate trading strategies. By comparing personal viewpoints against market sentiment, traders are better equipped to refine their tactics and confirm their analyses. Read also: Tools and Techniques for Data Analysis To leverage data effectively, traders must employ appropriate tools and techniques. A well-equipped trader can swiftly distill complex information into actionable insights. Analytical Tools Platforms like TradingView and MetaTrader are invaluable for traders seeking to visualize and analyze data. TradingView excels in its user-friendly interface and extensive range of technical indicators, while MetaTrader is suited for those interested in algorithmic trading and backtesting. Utilizing these tools allows traders to streamline their data analysis process and enhance trading efficiency. Technical Analysis Methods Technical analysis employs various techniques—such as moving averages, trend lines, and chart patterns—to forecast future price movements. Moving averages clarify trends by smoothing price data, while trend lines identify potential support and resistance levels. Recognizing chart patterns can also signal price reversals or continuations, empowering traders to make well-timed decisions based on historical behavior. Fundamental Analysis Techniques Fundamental analysis involves the examination of financial statements and economic indicators. Traders assess key metrics, including revenue and profitability ratios, to gauge a company’s financial health. Furthermore, comprehending economic indicators equips traders with a clearer understanding of market conditions and aids in identifying long-term opportunities. Crafting a Data-Driven Trading Strategy A robust, data-driven trading strategy is instrumental for successful navigation of complex financial markets. By establishing a structured trading plan, backtesting strategies, and committing to continual refinement, traders enhance their prospects for success. Developing a Trading Plan A trading plan serves as a strategic guide, encompassing clear goals, risk tolerance, and preferred trading style. To integrate data analysis within this plan, traders must identify crucial indicators that dictate entry and exit points. Historical market data should be leveraged to inform performance benchmarks and predictions regarding future price movements. This comprehensive plan should encompass position sizing and risk management principles to support data-driven decisions. Backtesting Strategies Backtesting involves simulating trades based on historical data to evaluate the effectiveness of trading strategies. This process reveals how strategies would have performed under various market scenarios, helping traders build confidence and identify areas for improvement. When backtesting, it’s vital to use robust datasets and Account for factors like slippage and transaction costs to ensure realistic results. Continuous Improvement The dynamic nature of financial markets necessitates ongoing evaluation and adaptation of trading strategies. Continuous improvement involves analyzing trade performance, identifying successes and shortcomings, and refining approaches based on data feedback. Embracing a culture of ongoing enhancement enables traders to respond effectively to market shifts and solidify their decision-making processes. Read also: Common Pitfalls of Disregarding Data While data-driven decision-making is crucial for trading success, many still overlook key aspects that jeopardize strategy effectiveness. Emotional reactions, cognitive biases, and excessive self-confidence can undermine trading performance. Emotional Trading Allowing emotions like fear and greed to influence trading decisions can lead to impulsive actions, disrupting logical analysis. This may result in holding onto losing positions too long or prematurely exiting profitable trades. Establishing rules that prioritize analytical processes over emotional responses, alongside rigorous risk management, is critical to maintaining objectivity. Confirmation Bias Confirmation bias occurs when traders selectively seek data supporting their existing beliefs while ignoring conflicting information. This mindset can skew market perceptions and impede adaptability. To counter this bias, traders should actively pursue diverse viewpoints and continuously challenge their assumptions, thereby fostering a comprehensive analytical approach. Overconfidence in Intuition Relying solely on instinct without grounding in data may lead to overconfidence and reckless decision-making. Traders must appreciate the importance of data analysis in their strategy, balancing intuition with a systematic approach to minimize the risk of costly errors. Read Also: In conclusion.. In conclusion, data-driven decision-making is a cornerstone of success in trading and investing. By systematically integrating data analysis into their trading strategies, traders can enhance their decision-making processes, leading to more informed and strategic actions in the market. This method enables the identification of trends, risk mitigation, and optimization of returns, which are essential in today’s volatile financial environment. Moreover, the continuous evaluation and adaptation of strategies based on real-time data feedback empower traders to remain agile in the face of market fluctuations. Ultimately, leveraging data becomes a pivotal aspect of an effective trading toolkit, enabling traders to thrive amidst challenges and capitalize on opportunities in the financial markets. ✅ Please share your thoughts about this educational post in the comments section below and HIT LIKE if you appreciate! Don't forget to FOLLOW ME; you will help us a lot with this small contribution
Education
by FOREXN1
3
USD/JPY calm as BoJ Core CPI risesThe Japanese yen is showing limited movement on Tuesday. In the North American session, USD/JPY is trading at 157.33, up 0.11% on the day at the time of writing. The yen is having a dreadful time as it continues to lose ground against the strong US dollar. Since Oct. 1, the yen has plunged 9.5% and the yen's woes could force the Bank of Japan to intervene on the currency markets in order to prop up the ailing currency. The BoJ Core CPI index, which is closely watched by the central bank, rose to 1.7% y/y in November, up from 1.5% in October and above the market estimate or 1.5%. This release follows last week's national headline inflation release, which jumped to 2.9% in November from 2.3% in October. This was the highest level since October 2023.  The gain was driven by sharp increases in food and electricity prices. Notably, core CPI, which excludes food, rose from 2.6% to 2.7% and core-core CPI, which excludes food and energy, climbed from 2.3% to 2.4%. Any way you cut it, inflation is moving higher and that has raised expectations that the Bank of Japan will raise rates in early 2025. The BoJ held rates at last week's meeting and BOJ Governor Ueda said that since underlying inflation was only increasing "at a moderate pace", the BoJ could take its time in raising rates. However, with inflation rising and the yen pushing closer to the 160 level, the BoJ could respond with a rate hike as early as January. The BoJ is also concerned with the incoming Trump administration, which has pledged to slap tariffs on US trading partners. Bank policy makers will be nervously watching if Trump moves ahead with tariffs or is his bark worse than his bite. The BoJ meets next on Jan.24, a day after Trump is sworn into office. There is resistance at 157.51 and 157.86 156.93 and 156.58 are the next support levels
by OANDA
1
Euro can rebound up from buyer zone to 1.0460 pointsHello traders, I want share with you my opinion about Euro. Looking at the chart, we can see how the price some days ago bounced from the resistance level, which coincided with the seller zone and entered a triangle. After this, the rice turned around and made a strong impulse down to the support line of this pattern, breaking the resistance level with the support level. But soon, EUR turned around and made an impulse, making a first gap, after which it rose to the seller zone, where it later made a second gap. Next, the price some time traded near the 1.0540 level and later dropped to the support line of the triangle, after which rebounded and rose to the resistance line of this pattern. Later, EUR turned around and started to decline and soon exited from the triangle, thereby breaking the resistance level again and continuing to fall. A few moments later, the price started to trades inside another one triangle pattern. In it, EUR dropped to the buyer zone, but a not long time ago backed up and now trades close support line of the triangle. In my mind, the price can fall to the buyer zone and then rebound up, thereby exiting from triangle pattern. That's why I set my TP at 1.0460 points. Please share this idea with your friends and click Boost 🚀
Long
by LegionQ8
1