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Apple (AAPL) Shares Jump to a Six-Month High As the AAPL chart shows, yesterday the price rose above $238 – its highest level since early March. The optimistic sentiment was fuelled by: → A court ruling concerning Google, which we reported on yesterday. Apple shares advanced after the court allowed Alphabet to continue paying Apple for preloading Google Search on the iPhone. Bank of America analysts even raised their AAPL price target to $260. → The upcoming Apple presentation scheduled for 9 September. Expectations are that the event could unveil the iPhone 17 and new Apple Watch models, which may provide a bullish catalyst. Technical Analysis of Apple (AAPL) Stocks Analysing the chart in early August, we: → identified an ascending channel (shown in blue); → noted that, given the aggressive rally (accompanied by bullish gaps) and a strong fundamental backdrop, any corrections were likely to be limited. Since then: → AAPL has moved higher, justifying the expansion of the blue channel; → the pullback (marked by an arrow) was minor, as expected, confirming the median line of the expanded channel as support; → in the short term, we could identify grounds for a new upward trajectory (shown in orange). Yesterday’s price action in AAPL: → produced a wide bullish gap at the open (which may act as support); → broke through the long-term descending trendline (R), which had been acting as resistance; → indicated that the $235 level (around the August high) now functions as support. Within this context, we could assume that: → in the short term, AAPL may maintain its upward trajectory within the orange channel; → in the longer term, bulls may target the upper boundary of the blue channel – located near the psychological $250 mark. Reaching this level could trigger stronger selling pressure. In the event of a significant correction (for example, due to disappointment with new product launches), potential support levels could include: → the median of the blue channel; → the trendline R. 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.

Gold Price Reaches a New All-Time High As shown on today’s XAU/USD chart, the price of gold has risen above $3,530 per ounce for the first time in history. In 2025, the increase in gold prices has been driven by sustained central bank purchases, asset diversification, steady demand for so-called safe-haven assets amid geopolitical and trade tensions, as well as general dollar weakness. At the beginning of September, bullish sentiment may have been reinforced by: → Expectations of a Federal Reserve rate cut. According to the CME FedWatch tool, markets are pricing in a nearly 92% probability of a 25-basis-point rate cut at the Fed meeting on 17 September. Gold, as a non-yielding asset, is typically seen as a beneficiary of low interest rates. → News from China, where, in the presence of leaders from many countries, the establishment of a SCO development bank was announced. Market participants may have interpreted this as a new source of geopolitical risk and as pressure on the dollar’s status. Donald Trump has already claimed that the summit in China represents a conspiracy against the United States. Technical Analysis of the XAU/USD Chart Looking at gold’s price on 11 August, we: → Drew descending lines forming a red channel. → Highlighted an important support zone in the form of a bullish Fair Value Gap (marked as FVG1 in purple). New data allows for the following observations: → FVG1 acted as support in the second half of August. → The red channel lines resemble a large-scale bullish flag pattern within a long-term uptrend, underscored by the EMA. By using the July and August extremes, we can trace the outlines of an upward trajectory (shown in blue). The price is currently near the upper boundary, which could trigger a pullback, given overbought signals on the RSI indicator and investors’ potential desire to take profits after more than a 6% rise over the past 10 days. From a bullish perspective, a possible pullback target could be the potential support area formed by: → FVG2. Although it does not strictly conform to construction rules, it reflects an imbalance in favour of buyers that led to a sharp price rally. Bears attempted to resist around the psychological $3,500 level but were defeated. → Level C, representing the 50% Fibonacci retracement of the A→B impulse. It should be noted that the upward impulse has not yet been exhausted, as indicated by the green lines. 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.

Alphabet (GOOGL) Stock Price Soars By Around 8% After Court Ruling At the end of August, we reported that Alphabet (GOOGL) stock price had reached a historic high, closing above $210. But today, the price is likely to climb to a new, significantly higher level. Yesterday, in after-hours trading, it surged by roughly 8%. Why did Alphabet (GOOGL) shares rise? The jump is explained by a court ruling in a case concerning alleged monopoly practices related to the Chrome browser. According to Investopedia, a federal judge ruled that the tech giant does not need to sell Chrome. This dispelled fears that Alphabet might have been forced to part with a core part of its business. Interestingly, one of the factors behind the judge’s decision was the spread of AI solutions (such as ChatGPT and Perplexity), which offer competition to Chrome’s search and browsing functions. Technical analysis of GOOGL shares In our earlier review, we identified: → an upward channel (shown in blue), formed by long-term price movements; → an intermediate channel (in place since late spring). If today’s trading in GOOGL opens around where the price settled in yesterday’s after-hours session (close to $226), this would mean: → the growth target at the upper boundary of the blue channel has been reached; → in the context of the summer’s price swings, Alphabet (GOOGL) shares will be in an extremely overbought zone. Once the initial excitement following the news subsides, this could pave the way for a correction, which seems reasonable after a rise of more than 55% in the past five months. In this case, the $215 level may serve as an indicative target for the correction to end: → it marks the lower boundary of a bullish gap that is highly likely to form today; → the market could then return within the aforementioned channels, giving the bulls renewed confidence to buy, as Alphabet (GOOGL) would no longer appear overbought, while the strong fundamental backdrop (as can reasonably be expected) would remain intact. 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.

Nvidia (NVDA) Shows Bearish Signs After Earnings Release On Wednesday, Nvidia published a fairly strong quarterly report: → Revenue for the second quarter came in at $46.74 billion (record), up 56% compared with the same period last year; → Adjusted earnings per share (EPS) were $1.05, a 54% year-on-year increase and above analysts’ expectations of $1.01–$1.02. However, in the Data Centre segment (closely watched by the market), results fell slightly short of Wall Street forecasts, which may suggest a slowdown in capital flows into AI infrastructure. This factor could explain why Nvidia (NVDA) underperformed the index later in the week: for instance, the S&P 500 hit a record high on Thursday, while NVDA closed lower. Technical analysis of Nvidia (NVDA) chart Six days ago, we: → Drew an upward channel (shown in blue), capturing NVDA’s price swings after the bullish surge at the end of June; → Highlighted the importance of support at $170 and resistance at $183. Indeed, $183 looks like a solid barrier: → The numbers (1, 2, 3) mark failed attempts by the bulls to break through this resistance, giving grounds to view the chart in the context of a triple top pattern. → The third peak only slightly exceeds the previous highs, which resembles a bull trap and the Upthrust After Distribution (UTAD) pattern in Richard Wyckoff’s methodology, signalling the prospect of lower prices. A bearish gap the following day (shown by the red arrow) and a weak Friday close underline the bears’ aggression. Given the above, we could assume that the bulls may try to keep the price within the channel, relying on support at its lower boundary. Yet the mentioned signals suggest that the bears are intensifying pressure. If we see only a weak rebound from the lower boundary at the start of September, the current channel could be at risk. In the event of a bearish breakout, a move down to test the $170 support could happen. 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.

Alphabet (GOOGL) Shares Set an All-Time High As the chart of Alphabet (GOOGL) shares shows, the price in August exceeded the February high. For the first time in history, the close price moved above $210. The positive market sentiment is being driven by the development of AI technologies, as well as Alphabet’s (GOOGL) ambition to maintain a leading position in this field. Among the latest news, it is worth noting that Meta Platforms (META) has signed an agreement to use Google Cloud’s infrastructure for its AI projects, which is expected to bring Alphabet around $10 billion in revenue. Technical Analysis of GOOGL Shares In the long-term context, price fluctuations are forming an ascending channel (shown in blue). After falling to the lower boundary in early April (when Trump first announced his tariffs), the balance of sentiment shifted, and the price has since been moving within a new medium-term ascending channel (shown in purple), approaching the upper boundary of the blue channel. At the same time, we can make the following observations, which generally point to a bullish market: → the price has confidently broken above the median line of the long-term channel; → the price has consolidated above the psychological level of $200, which acted as resistance at the start of the year; → this summer, the price has been trading near the upper boundary of the medium-term channel, highlighting strong demand – short-term declines towards the median line of the medium-term channel have quickly attracted buyers; → in August, the $205.75 level switched its role from resistance to support. From a bearish perspective, the RSI indicator is showing signs of divergence, suggesting that the rally may be running out of steam. However, it seems that more significant drivers would be needed to shift the current positive sentiment: → Technically, Alphabet’s (GOOGL) share price reaching the upper boundary (which looks realistic given the bullish factors listed) could motivate buyers to take profits. → Major economic news, such as a change in the Federal Reserve’s interest rate policy. 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.

What Is Symmetrical Distribution, and How Do Traders Use It? Symmetrical distribution is a key concept in market analysis, helping traders assess price behaviour and volatility. When price movements are evenly distributed around a central point, it can provide insights into potential market trends. This article explores what symmetrical distribution is, how it compares to other price patterns, and how traders use it in strategies like mean reversion to refine their market approach. What Is a Symmetric Distribution? The symmetric distribution definition states that data points are evenly spread around a mean, meaning price movements exhibit balance over time. In simple terms, if price movements form a symmetrical shape when plotted on a chart, it suggests that past price behaviour has been balanced, with roughly equal deviations on either side of the average. This balance is supposed to help traders analyse price trends and volatility. One of the most well-known symmetrical distribution examples is the normal distribution, often visualised as a bell curve. In markets, this means prices are more likely to cluster around the average and become less frequent as you move further away. For example, if a stock has a mean daily return of 0.5%, most days are believed to see returns close to that figure, while extreme price moves—both positive and negative—will be much rarer. Symmetrical distribution plays a key role in statistical analysis and quantitative trading. It helps traders assess the probability of certain price movements occurring, particularly when using models that rely on historical data. How Traders Use Symmetrical Distribution in Market Analysis Traders use symmetrical distribution to analyse price behaviour, identify potential trading opportunities, and refine their strategies. When price movements are evenly distributed around a central point, it provides a structured way to assess market conditions. This concept is particularly useful in mean reversion strategies. Mean Reversion Strategies Symmetrical distribution suggests that prices tend to fluctuate around an average, making mean reversion a widely used approach. Traders applying this strategy assume that when an asset moves significantly away from its mean, it is likely to return over time. Bollinger Bands and moving averages are commonly used to measure price deviations and identify potential turning points. This is particularly relevant in markets with balanced volatility, where extreme price moves are less frequent. Identifying Market Conditions Analysing whether a market follows a symmetrical distribution can help traders determine which strategies might be effective. In markets where price movements are balanced, traders may focus on range-bound approaches. In contrast, when distributions become skewed, momentum and trend-following strategies might be more suitable. Recognising these shifts allows traders to adapt their methods to changing market conditions. How to Identify a Symmetrical Distribution Identifying a symmetrical distribution in market data involves analysing price behaviour to determine whether movements are evenly spread around a central value. While markets don’t always follow perfect symmetry, traders use statistical tools and visual techniques to assess whether a price distribution aligns with this pattern. Histogram Analysis A histogram is one of the simplest ways to check for symmetry in price movements. By plotting historical returns or price changes on a frequency chart, traders can see whether data points cluster evenly around the mean. If the left and right sides of the distribution mirror each other, the market may be exhibiting a symmetrical pattern. Histograms can also reveal uniform distributions, where all values occur with equal probability, forming a flat graph rather than a bell curve. A symmetric and uniform graph can help distinguish between these two patterns—while a uniform distribution shows no central clustering, a symmetric distribution forms a peak around the mean. Recognising whether a market follows a symmetric or uniform structure helps traders determine which statistical tools are most relevant for analysis. Statistical Measures: Mean and Standard Deviation Symmetrical distributions tend to have a mean (average) return that sits at the centre of price movements, with standard deviations determining how far prices typically move from that mean. If price fluctuations are evenly distributed around the mean, it suggests a balanced market where extreme moves are less common. Skewness and Kurtosis Two key statistical measures help traders confirm symmetry: - Skewness quantifies how unevenly data points are distributed around the mean. A value close to zero suggests a symmetrical distribution, while a positive or negative skew indicates an imbalance. - Kurtosis measures how frequently extreme price movements occur. A symmetrical, normally distributed market typically has a kurtosis value near three. Visualising with Moving Averages When plotted on a chart, symmetrical price behaviour often aligns with a stable moving average, where price deviations are relatively even on both sides. In contrast, a market with consistent upward or downward bias may show clear asymmetry. Symmetrical Distribution vs. Other Market Distributions However, markets don’t always move in a balanced way. While symmetrical distribution means price movements are evenly spread around a central point, real-world trading often shows skewed distributions, where prices are more likely to move in one direction than the other. Understanding the difference is key to assessing market behaviour. A positively skewed distribution means there are more small downward price moves, but the occasional sharp rally pushes the average return higher. This often happens in growth stocks or high-volatility assets, where losses are frequent but gains can be explosive. On the other hand, a negatively skewed distribution occurs when prices drift upwards gradually but occasionally experience sudden drops. This is common in carry trades, where traders potentially earn small returns over time but risk significant losses during market shocks. Skewed distributions challenge the assumption that markets follow normal distribution patterns. For example, many risk models assume a symmetrical spread of price moves, but in reality, market crashes and parabolic rallies occur far more often than a normal distribution would assume. This is why relying solely on symmetrical models can lead to underestimating risk in extreme conditions. Traders who recognise whether a market is symmetrical or skewed can adjust their strategies accordingly. In a symmetrical market, mean reversion strategies could be more effective, while in a skewed market, trend-following approaches could perform better. Symmetrical Distribution in Risk Management Risk management relies heavily on statistical analysis, and symmetrical distribution plays a key role in estimating potential market movements. When price changes are symmetrically distributed, traders can use probability models to assess how far an asset is likely to move within a given timeframe. Value at Risk (VaR) and Probability Modelling One common application is Value at Risk (VaR), which estimates the maximum expected loss over a period based on historical price data. If potential returns follow a symmetrical distribution, traders can calculate the probability of losses exceeding a certain threshold. For example, in a normal distribution, around 95% of price movements fall within two standard deviations of the mean, allowing traders to set potential risk limits accordingly. Risk-Reward Calculations A symmetrical distribution also helps traders refine their risk-reward ratios. If price movements are evenly distributed, traders can estimate potential returns relative to potential losses with greater confidence. In markets where symmetry holds, a trader aiming for a 3:1 risk-reward ratio can assume that price fluctuations are balanced enough for this structure to be viable. Position Sizing and Stop Placement By understanding the distribution of price movements, traders can potentially improve position sizing. If historical data suggests symmetrical price behaviour, traders may adjust their position sizes based on expected volatility. Similarly, stop-loss levels might be set relative to the standard deviation of past price movements, ensuring that exits are placed within a statistically reasonable range. Limitations and Challenges While symmetrical distribution provides a structured way to analyse price movements, real-world markets rarely follow a perfect balance. External factors, market psychology, and liquidity shifts often distort price behaviour, making it important for traders to recognise the limitations of relying solely on symmetrical models. Market Skew and Imbalances Many assets, especially stocks and commodities, exhibit skewed distributions due to long-term trends, supply-demand imbalances, or macroeconomic factors. Price movements often lean in one direction rather than forming a perfect bell curve. Impact of News and Events Unexpected events—such as central bank decisions, earnings reports, or geopolitical developments—can cause sudden price moves that disrupt symmetrical patterns. These events create fat tails, where extreme moves occur more frequently than a normal distribution would suggest. Volatility Clustering Markets tend to experience periods of high and low volatility in clusters, rather than maintaining a steady distribution. Symmetrical models often underestimate the likelihood of extreme price swings, leading to miscalculations in risk assessment. Liquidity and Order Flow Distortions Large institutional orders and algorithmic trading can cause short-term price imbalances, breaking the assumption of symmetrical price behaviour. These distortions can lead to misleading statistical signals. The Bottom Line Symmetrical distribution provides traders with a structured way to analyse price movements, assess volatility, and refine strategies. While markets don’t always follow perfect symmetry, understanding when and how these patterns appear may support your trading analysis. FAQ What Is Symmetrical Distribution? Symmetrical distribution refers to a data distribution where values are evenly spread around the mean. In financial markets, this means price movements are balanced, with equal-sized fluctuations on both sides of an average value. What Is an Example of Symmetric Data? A common symmetrical data example is the normal distribution, where most data points cluster around the mean, and extreme values occur less frequently. In trading, an asset with daily potential returns that are equally distributed above and below the mean exhibits symmetry. What Is the Difference Between Uniform and Symmetric Distribution? When comparing uniform vs symmetric distribution, the key difference is that a uniform distribution gives each value an equal probability with no central clustering. A symmetrical distribution can have values clustered around the mean. What Is the Difference Between Symmetrical Distribution and Normal Distribution? A normal distribution is a common symmetric distribution example, creating a bell-shaped curve. While all normal distributions are symmetrical, not all symmetrical distributions follow the strict characteristics of a normal distribution. 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.

Market Analysis: Gold Prices Climbs Again Gold price climbed again and traded above $3,350. Important Takeaways for Gold Price Analysis Today - Gold price started a steady increase from $3,310 against the US Dollar. - A key bullish trend line is forming with support at $3,378 on the hourly chart of gold. Gold Price Technical Analysis On the hourly chart of Gold at FXOpen, the price found support near $3,310. The price remained in a bullish zone and started a strong increase above $3,330. There was a decent move above the 50-hour simple moving average and $3,350. The bulls pushed the price above the $3,365 and $3,378 resistance levels. Finally, the price climbed as high as $3,395 before there was a pullback. The price tested the 23.6% Fib retracement level of the upward move from the $3,321 swing low to the $3,395 high, and the RSI declined below 50. Initial support on the downside is near $3,378 and the 50-hour simple moving average. The first major support is near the 50% Fib retracement at $3,358. If there is a downside break below $3,358, the price might decline further. In the stated case, the price might drop toward $3,350. Any more losses might push the price toward $3,310. Immediate resistance is near the $3,395 level. The next major hurdle for the bulls is $3,400. An upside break above $3,400 could send Gold price toward $3,420. Any more gains may perhaps set the pace for an increase toward $3,450. 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.

Nvidia (NVDA) Upcoming Earnings Report Tomorrow after hours, Nvidia will release its quarterly report, attracting heightened attention given its position as: → the world’s largest company (market capitalisation of around $4.39 trillion); → a leader in the development of AI-related industries; → strong stock price performance — approximately +33% year-to-date, +108% from the yearly low. Bullish Expectations Analysts anticipate Nvidia will report revenue of around $46 billion, more than 50% higher than the same period last year. Investors are counting on confirmation of robust demand for Nvidia’s chips from tech giants such as Microsoft, Google, Amazon, and Meta, all of which continue to expand capital expenditure on data centres to power AI workloads. Further support for NVDA’s share price could come from positive news about demand for the new Blackwell chips and the resumption of sales in China following a recent agreement with the US government. Bearish Concerns Even strong results may fall short of “sky-high” optimistic expectations, potentially triggering profit-taking and a decline in Nvidia’s (NVDA) stock price. The stock trades at a high P/E multiple (price-to-earnings ratio), making it vulnerable to any negative news or even a minor miss against forecasts. The primary concern is that Nvidia’s forward guidance might point to a slowdown in AI infrastructure spending growth by its key clients. Any hint of this could negatively affect not only Nvidia’s shares but also the broader technology sector. Technical Analysis of Nvidia (NVDA) Chart NVDA’s share price remains within an upward channel (shown in blue), with the following configuration: → until mid-August, the price remained within the upper half of the channel; → in August, the price declined towards the lower boundary (point A). The $170 level appears to be a key support: → it is a round psychological level; → the low at point A looks like an aggressive test of this level, after which the price reversed upward. From a bullish perspective: → support is provided by the lower boundary of the channel; → a long bullish candlestick (2) signals persistent demand. From a bearish perspective, the $183 level looks like key resistance: NVDA’s share price slowed its advance here in early August, with repeated unsuccessful attempts to break higher. Given the above, we could assume that the bulls may attempt to push through the $183 resistance on the back of the earnings release, but to do so, Nvidia’s results and guidance must at least meet the market’s extremely optimistic expectations. 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.

Coinbase (COIN) shares fall to a 2-month low According to the chart of Coinbase Global (COIN), the stock price of the cryptocurrency exchange is sliding towards the $295 level, a 2-month low. It is worth recalling that last month we reported that COIN stock had surged to an all-time high around $400. At that time, we: → highlighted the long-term grey channel and the short-term blue one; → suggested a potential correction from the upper boundary of the grey channel. Since then, COIN’s share price has declined by more than 20% (yesterday’s drop was fuelled by a broader risk-off sentiment in technology stocks, which we analysed earlier today in the context of the Nasdaq 100 index). If this is indeed a correction from the all-time high, it looks too deep for a bull market. Could COIN shares extend their decline? Technical analysis of Coinbase (COIN) stock From a broader perspective, the grey channel remains valid. Following the release of a disappointing earnings report on 1 August, COIN formed a bearish gap and found support near the median of this channel. Note the price action (highlighted with an arrow) – the bulls attempted to push the price higher but failed. This resembles either a false breakout of the 1 August high or a retest of the gap’s lower boundary – in both cases, a bearish signal. Particularly so given the candlestick with a long upper shadow, forming a gravestone doji pattern. The MACD indicator suggests “clouds are gathering”: the histogram is approaching zero, while the two lines have turned downward. If the bears manage to build on their advantage, this would imply that: → market participants view the psychological $300 level as too high for COIN; → the price is moving away from the median of the grey channel and might approach its lower boundary, where buyers typically tend to step in. If this scenario unfolds, the bears will need to show persistence, given the importance of support at $273.70, where the price rallied strongly in mid-June (a sign of aggressive buying). It is also worth noting a series of bullish news related to Coinbase (completion of the Deribit exchange acquisition, improved regulatory outlook) – but the stock is already down more than 30% from its record high, which raises concerns. 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.

Meta Platforms (META) Shares Decline Amid AI Concerns Shares of US tech giant Meta Platforms (META) fell by around 3% after media reports revealed that the company plans to reorganise its artificial intelligence operations for the fourth time in six months. The news has raised investor concerns over whether Meta’s AI strategy is on the right track. Meanwhile, Bloomberg reports that Meta intends to begin selling its first smart glasses with a built-in display next month. However, the price may come in lower than expected — at $800 — as the company is willing to accept slimmer margins to stimulate demand (and, consequently, lower its profit outlook). Technical Analysis of META Stock In our previous analysis of META’s chart, we outlined an ascending channel and suggested that the bulls might attempt to push the price higher within this structure, supported by strong fundamentals following the company’s quarterly earnings release. Since then, the price has climbed to new record highs (with the all-time peak now above $790). However, the technical outlook appears uncertain, with several bearish signals emerging: → Selling pressure may arise around the psychological $800 level. → The upper boundary of the channel is acting as resistance, and the price has formed a bearish double top pattern (as indicated by the arrows). → A bearish gap (highlighted in orange) may also act as an obstacle to further upward movement. Additionally, adding an intermediate ascending trendline to the chart reveals the formation of a bearish rising wedge pattern. At present, the price is hovering around the channel’s median line, but given the above factors, we could assume that the balance could shift in favour of the bears. In this case, META’s share price may undergo a significant correction. Should this scenario unfold, the bulls could become active again around the support level at $747 or at the lower boundary of the channel. 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.