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U.S. Dollar / Japanese Yen

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U.S. Dollar / Japanese Yen (30MIN) | Chart & Forecast SummaryKey Indicators on Trade Set Up in General 1. Push Set Up 2. Range Set up 3. Break & Retest Set Up Active Sessions on Relevant Range & Elemented Probabilities; * Asian(Ranging) - London(Upwards) - NYC(Downwards) * Weekend Crypto Session # Trend | Time Frame Conductive | 30 Minutes Time Frame - General Trend - Measurement on Session * Support & Resistance * Trade Area | Focus & Motion Ahead Conclusion | Trade Plan Execution & Risk Management on Demand; Overall Consensus | Buy
Long
by P-Ment4U
2
#USDJPY #Elliot #Sell#USDJPY sell-4h-elliot-clasicpattern-supplyzone_RD- #In the 4-hour time frame, Elliott price has completed and is now falling. Our fifth wave consists of 5 micro-waves, the fifth wave of our micro-wave is formed in a short form. #Also, in this time frame, the price has formed a classic reversal pattern and at the same time, the price has also reacted to our supply zone. #Divergence of the indicator with the price is also a confirmation of our entry. #SL:149.782 #TP1:146.252 #TP2:143.630 #R/R:1/7
Short
by mohamadaminsajjadi
USDJPY What Next? BUY! My dear friends, Please, find my technical outlook for USDJPY below: The instrument tests an important psychological level 149.19 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 - 149.54 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
2
USDJPY Looking for 100pip tradeIf USD/JPY moves up by 100 pips, it means the value of the U.S. dollar has strengthened relative to the Japanese yen. In the foreign exchange market, a pip is the smallest price move that can be observed in a currency pair. For USD/JPY, one pip is equal to 0.01 in the exchange rate. For example: If the current USD/JPY exchange rate is 149.00, and it rises by 100 pips, the new rate would be 150.00. Traders often monitor these changes for profit opportunities, particularly those involved in forex trading, as a movement of 100 pips can signal significant currency shifts and potential profit or loss depending on the position (long or short). Are you looking at this from a trading perspective, or are you following general currency trends?
Long
by LORDOFTHETRADERS
USDJPY - Could the pair break the 150 resistance?Fundamental analysis From a fundamental perspective, the dollar-yen continues to move to the upside, trading near the significant 150 resistance level, mostly due to increasing speculations that the US Federal Reserve will be more cautious in cutting interest rates in the future, which strengthened the US dollar. Regarding the Japanese yen, markets reacted to Bank of Japan board member Seiji Adachi's latest comments. Adachi said conditions are already in place to normalize monetary policy but emphasized that the central bank must raise interest rates at a "very moderate" pace. He warned that the BoJ should avoid a radical policy change given uncertainties over the global economic outlook and domestic wage growth. Technical analysis From a technical perspective, the price is recovering from previous losses after testing the last support level at around 140. USDJPY is trading near the 150 resistance (50% Fibonacci level), with the RSI showing a bearish divergence after being in the overbought zone. This suggests a possible reversion to the downside in the short term. If the price continues to fall, it could test the next support at 148 before 145 (23.6% Fibonacci level). Conversely, if the price continues to rise, it could test the next resistance around 150 before 153 (61.8% Fibonacci level).
by MariaAgustinaPatti_Exness
Using Big Data Analytics in Forex TradingUsing Big Data Analytics in Forex Trading Recent years have seen explosive growth in the amount of data in circulation, and the financial industry is no exception. The use of big data analytics in forex trading has become increasingly popular as traders and institutions look to gain a competitive edge through the analysis of vast data sets. The forex market is the largest financial market in the world, with a daily turnover of trillions of US dollars. The market is constantly changing. One might argue that such a tendency to change makes it difficult for traders to make decisions. Therefore, the use of big data in forex analytics acts as an essential advanced tool and serves as a means to overcome decision-making challenges. This FXOpen article explores why big data in trading has the potential to revolutionise the way traders approach the market and looks into how it can provide them with valuable insights. Big Data in Forex Trading Big data refers to the large quantity of diverse information that is generated every day from a variety of sources. Such volumes of information cannot be processed and analysed by users or simple office software. Therefore, there’s a whole set of sophisticated technologies designed for working with it. The set typically includes tools for data collection, storage, preprocessing, cleaning, and analysis. To collect and store large amounts of information, traders use cloud computing and distributed databases. Before analysing it, traders preprocess and clean it to remove any noise or inconsistencies using techniques such as normalisation and outlier detection. In the context of forex trading, big data includes market figures, economic indicators, social media sentiment, news articles, and more. The role of big data in forex is enormous. With the help of analytics, traders can select relevant, promising assets and make informed trading decisions, thereby gaining a competitive advantage. Sources of Big Data in the Forex Market Predictive analytics and big data provide actionable insights about the FX market and the general mood of market participants. Here are some of the sources incorporated into big data models used for forex trading purposes: - Market figures — real-time and historical price, order flow, and trade execution data. - Economic indicators — figures of inflation, GDP, employment, various indices, earnings reports, industrial production figures, and other economic indicators. - Social media sentiment — comments from social media platforms such as Twitter, LinkedIn, and Facebook, which provide insights into public sentiment towards certain countries and their currencies. - News articles — articles from financial news sources such as Bloomberg and Reuters, which inform traders about market trends, governmental policies, and major events. How Big Data Analytics Affect Forex Big data analytics significantly impact forex trading, offering both advantages and challenges. Let’s first explore how big data analytics can help in forex trading. Pros: - Improved forecasting and predictive modelling - Real-time market monitoring and analysis - Enhanced risk management and decision support Analysing big data helps traders uncover future market movements and identify patterns that may not be visible through traditional analysis methods. It can provide traders with real-time insights into current trends and high-impact economic events, which allows them to react quickly to changes. Analytics can also simplify risk identification and management. These benefits make big data analytics a key tool for renowned and successful financial institutions. For example, JPMorgan Chase uses it to analyse millions of transactions daily, detect suspicious patterns, and prevent fraudulent activities and money laundering. Meanwhile, the investment bank Goldman Sachs uses it to identify trends in various markets, improve the company’s trading strategies, and enhance risk management. Despite the inspiring cases and the benefits of using it, big data analytics is not a cure-all and has some downsides. Cons: - Requires significant resources - Possible security issues - Possible overfitting Since big data analysis requires significant computing power and storage, as well as high bandwidth, using this approach is not cheap, and it can be problematic for retail traders and trading start-ups. Besides, big data analytics involves collecting sensitive financial information, which is often targeted by cyberattacks. Unintentional breaches are also possible, so companies employ additional security algorithms. This can increase costs as well. Another issue comes when the data analysis model fits too closely to its training basis. Overfitting makes it unable to perform accurately against unseen information. It is related to the issue of capturing patterns without being overly influenced by irrelevant information. If traders rely on algorithms to analyse data, this drawback could hinder their performance. Risk Management in Big Data-Driven Trading Based on the limitations and possible problems with large-scale analyses, the question of risk management in the use of big data arises. Here are some considerations on what a trader could do to minimise risks. 1. Traders use risk controls and backtesting to check whether trading strategies are effective and not overly risky. 2. To ensure that the figures are accurate, consistent, up-to-date, and reliable, traders may implement quality control measures such as data validation and verification. 3. Leveraging different sources of big data allows traders to drive their risk management strategies with more confidence as they get a holistic picture of the currency market. Big Data Analytics Strategies in Forex The most popular big data forex trading strategy involves using traditional technical and fundamental analysis, which is enhanced by additional insights and information obtained through big data analytics. Then comes trading based on sentiment analysis and social media monitoring. As mentioned, social media is necessary to understand how the trading community feels about the currency and whether they think it is a good decision to trade it. Lastly, big data analytics improves algorithmic trading, which involves using computer programs to execute trades automatically based on predefined rules. Big data analysis may be helpful in determining these rules. Final Thoughts The use of big data in forex trading and analysing vast amounts of information helps traders gain valuable insights into market trends and make more informed decisions. However, there are also challenges and limitations associated with big data analytics, including overfitting and cybersecurity threats. If you want to trade in the forex market with attractive conditions, you can open an FXOpen account. To create and test trading strategies, you can use the TickTrader trading platform. Alongside trading tools and various assets, there are advanced charts with accurate price history. 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
5