Trading strategies

Crude Oil has always been one of the most popular and highly traded markets for CFD traders whether it is WTI or Brent, especially recently as geopolitical and economic forces have seen its price fluctuate from extreme lows to extreme highs. It’s easy to see why, Oil is a bellwether for the health of the global market, oil greases the wheels of global commerce and with CFDs it’s possible to take a position in this exciting market, whether you think the price will head up or down. In this CFD Oil trading Article we will look at the following: How to use CFDs to trade oil Fundamental forces that drive the price of oil Popular technical strategies for trading oil CFDs How to use CFDs to trade oil CFDs or Contracts For Difference allow you to speculate on the price of oil, without owning the underlying asset.

A spot oil CFD tracks the price of the spot market being the cleanest and most efficient way to speculate on the price of oil. They also allow you to take a position in both directions, you would enter a buy (Long) positions if you believed the price will rise, or a sell (Short) position if you believe the price will fall. With Long positions you are looking to buy and sell at a higher price at a later time to profit on the trade.

With a Short position you are selling with the view to buy back at a later time to profit on the trade. At GO Markets we offer our clients the worlds most popular oil trading platform in Metatrader 4 and 5, another advantage to these CFD trading platforms is the ability to automate oil trading strategies. Other advantages to trading oil CFDs with GO Markets: Trade 23 hours a day on WTI oil, 21 hours a day on Brent oil, unlike an ETF or oil company listed on a stock exchange that is only open while that stock exchange is open.

Leverage – the margin required to open the trade will be a fraction of the face value of the position depending on what leverage you are comfortable with. Flexibility in position sizing starting from 0.1 lot ($0.10 USD per point movement in oil) unlike oil futures which have rigid contract sizes. Rolling contract, no expiries such as in options or futures to worry about.

To Enter a position in Metatrader, you would bring up a deal ticket by clicking “New Order” then select your position size, any Stop Loss or Take Profit levels you want the position to automatically close at and hit Buy or Sell. As with any instrument, make sure you are familiar with the lot sizing. 1 standard lot in oil (USOUSD and UKOUSD) is 100 barrels, or $1 USD a point so make sure you set the volume to a level commensurate to your account size and risk appetite. Now, the next question is how you decide on a buy or sell, let’s look at the fundamentals of what drives oil and some technical analysis you can use to answer this question.

Fundamental forces that drive the price of oil Both WTI oil (USOUSD) and Brent Oil (UKOUSD) are highly correlated and will both be referenced as “oil” in the below. While no one reason can be fully attributed to movements in the price of oil, there are an important few fundamental drivers that will influence the price and whose relationship has been time tested. None of these on their own should be used as a sole reason to enter a position, but having the fundamentals on your side will certainly give you an advantage.

The main fundamental drivers in my experience are The perceived health of the global economy OPEC+ production cuts or increases Geopolitical issues The perceived health of the global economy Oil is the driver of commerce, it is needed for the transport and manufacturing of goods and getting people around. If economic conditions are deteriorating, it means less economic activity and the need for less oil sending the price down. A global economy which is seen as “hot” means more economic activity and more demand for oil, seeing it’s price increase.

A clear chart to see this is the price of oil as compared to the US 10-year bond yield over the years. You can see the price of oil and the yield are highly correlated, this is due to yields going up when the economy is “hot” and yields falling when the economy enters a period of contraction, similar price drivers to oil. The black line is WTI oil price, the orange US 10-year yields going back 10 years.

Source: tradingview.com OPEC+ production cuts or increases The Organization of the Petroleum Exporting Countries (OPEC) is a cartel of leading oil-producing countries formed in order to collectively influence the global oil market. OPEC started with a handful of Middle Eastern oil producers in 1960, and has since grown to 24 members in OPEC+. Even thought the USA is currently the worlds top oil producer, OPEC+ countries as a whole still dominate global oil supply and decisions made by the cartel can have a dramatic influence on the price of crude oil.

Market share of oil producing nations: Source: gisreportsonline.com OPEC+ hold regular meetings during the year, normally the expected result is well telegraphed, but sometimes there can be a surprise, such as at their latest meeting on Sunday April 2 nd, 2023, where a surprise production cut was announced, seeing the price of oil gap significantly higher on Mondays open, showing oil traders to always approach these meetings with caution. Geopolitical issues The last three years has seen some very influential geopolitical events, or “black swans” and oil being closely tied to the health of the global economy has seen some very big moves on the back of these events. The Pandemic and its related lock downs and slowing of global commerce saw the price of oil slump to all time lows, followed by the war in Ukraine which saw oil jump to multi year highs on the fear of supply disruptions (Russia is the second biggest oil producer in the world) The chart below illustrates this: Oil traders especially need to be aware of geopolitical risks as the above chart shows.

Technical strategies for trading oil CFDs While having a good understanding of the fundamentals (in my opinion) is important to help you choose the best trades most traders will use a combination of technical analysis and fundamentals with the aim for higher probability outcomes in their trades. Some traders will use technical analysis exclusively without any interest in the fundamental drivers using things such as RSI oscillators, support and resistance areas and trend lines solely to decide on their trade direction. Which option is best is solely up to the trader, their time frames for the trades and risk appetite, all can work, and all can fail neither option can be seen as “better” than the other, it all depends on the individual trader.

Technical analysis is an art in itself and there is a lot to learn on this subject, I encourage anyone interested to research the many weird and wonderful technical analysis strategies that are documented online. But let’s take a look at a popular technical indicators that oil traders use to make their trades. Support and Resistance Support and resistance are one of the most widely used and accurate (when used correctly) technical indicators that can be used by traders.

Support and Resistance areas are points in the market where the price is held from going lower (Support) or going higher (Resistance), these are areas where buyers or sellers are entering the market as they see value in the asset at that price. These levels can last a long time or be temporary and can be used to predict turn arounds in the market, or a break of these levels could indicate a further push in that direction. Oil is also particularly sensitive to psychological levels around “big figures” or rounded number, e.g. 79.00 and 74.00 As can be seen on the chart below.

Hopefully this article has given you an interest to learn more about trading oil with CFDs. Feel free to contact the GO Markets team if you have any questions on trading oil CFDs and opening an account with us.

Familiarity with terminology used in financial markets is arguably highly important for those investing in financial products. This understanding can assist with both entry and exit decision-making in the context of an individual's risk profile and objectives. Two terms that are often used to describe the overall position of a central bank are "Hawkish" and "Dovish." For traders and investors, understanding the subtle clues in central banks' communications about their policy stances can be vital, irrespective of their chosen trading or investing approach, as the impact can be far-reaching.

Such communications are often released within statements that go along with interest rate decisions themselves, individual speeches from central bank members, and, of course, interpretations and opinions contributed by financial media commentators. It's important to note that neither a hawkish nor a dovish stance is universally good or bad. The appropriateness of either approach will depend on specific economic conditions and is always to topic of much debate among the financial community as well as within central banks themselves.

Other key factors to consider are not only the stance itself but also whether there are changes in the degree to which this is the case, and of course, how well or otherwise this matches current market expectations. Irrespective of the detail, the bottom line remains that because of the significant influence of the central bank stance, both in the short and long term, being attuned to these policy shifts and adapting trading strategies accordingly can be a powerful tool for traders. The purpose of this article is to describe these terms in a little more detail, their implications for financial markets in the context of the economic changes that may result from either.

Hawkish Policy The hawkish stance emphasises the importance of keeping inflation in check and curbing economic overheating, even if it means sacrificing some economic growth in the process. In practical terms, this is often delivered through increasing interest rates, and supporters of a hawkish approach believe that maintaining stable prices creates a more predictable economic environment, considered essential for making informed investment and financial decisions. Dovish policy A dovish policy stance is typically adopted by a central bank to stimulate economic growth.

It is characterised by a more accommodative monetary policy, and includes lowering interest rates and may even involve putting in other measures to increase money supply in the economy. The main objective is to encourage borrowing and investment, increase consumer spending, and create a supportive environment for employment growth. Implications for Financial Markets: Bonds: In an increasingly hawkish status, higher interest rates generally lead to lower bond prices and higher yields.

As a result, investors who hold bonds with fixed interest rates might see a decrease in the market value of those bonds. Stocks: Should there be an increasingly aggressive monetary policy, the cost of borrowing increases with higher interest rates, potentially affecting companies' profit margins, particularly for those companies with higher debt levels. Additionally, the negative impact of a decrease in consumer spending will impact company revenue, particularly in growth and consumer discretionary stocks.

These factors will exert downward pressure on stocks as the impact on earnings of both of these factors bites into previously expected EPS. The impact on the housing market will commonly influence the pricing of related stocks, e.g., homebuilders. Whereas with a dovish viewpoint, equity markets are likely to see gains with growth; for example, technology stocks and consumer discretionary stocks may benefit.

Companies might increase capital investment in research and development or even be more likely to consider acquisitions, taking advantage of the lower cost of borrowing. Currencies: A hawkish policy usually leads to currency appreciation, making the country's currency more attractive to foreign investors. The reverse is, of course, true also, with an increasing dovish stance resulting in currency depreciation.

As currencies are traded in pairs, the implications will be somewhat dependent on more than one central bank policy. One final point worth emphasising is that the impact of central bank policy and the hawkish or dovish viewpoint, although mostly impacting on the national economy, is likely to have far-reaching effects beyond the local economy if it is from one of the major economic powers e.g. US.

The impact will spread throughout the global financial markets, including, in this case, commodity prices. Summary Both hawkish and dovish stances have significant impacts on financial markets and the broader economy. The effectiveness of either approach depends on the prevailing economic conditions and the goals of the respective central bank.

For traders and investors, understanding the subtle clues in central banks' communications about their policy stances can be vital. Hawkish signals might lead to short-term rallies in the currency but declines in bond and equity markets, while dovish signals might have the opposite effect. Being aware of these policy shifts, knowing key relevant dates of related events, sand adapting trading strategies accordingly can be a powerful tool for traders and investors alike.

What is a PE Ratio, and Why is It of Interest to Investors? The Price-to-Earnings (P/E) ratio is a metric that measures a company's current share price relative to its earnings per share (EPS). It's a relatively simple calculation, worked out by dividing the current share price by the Earnings per Share.

Traditionally, it has been used as a potential method as part of fundamental analysis to determine the valuation of a stock at its current price, and by comparing it against other stocks, one can make a judgment as to whether a stock is overvalued or undervalued relative to its earnings. In simple terms, a high P/E ratio might indicate that the stock is overvalued and may be worth avoiding, while a low P/E ratio could suggest undervaluation and hence an opportunity to invest and benefit as the price moves up to a fair value. We have discussed P/E ratios and the influences of this fundamental analysis measure in some detail in another article, “PE Ratios: What They Tell You (and What They Don’t),” which you can find HERE.

However, although this is true to some degree, it is far from the whole story. It is equally true that a low P/E ratio may have causative factors that mean you should avoid the stock rather than jumping in expecting a return to former glory. So, in this article, we take a deeper dive into some low P/E ratio causes that may be “red flags” in your investment decision-making.

For each, we will define what the concern may be that merits further investigation and provide examples to assist in highlighting how this may happen. So, in essence, you will have a checklist to use when considering stocks with low P/E ratios as investments. Declining Industry or Sector: A low P/E may be indicative of an actual or potential gradual reduction in overall demand and growth prospects within a particular industry or sector.

Many reasons for this could include changes in policy, environmental concerns, technology advances, customer preferences, and demographics. Although this decline may be permanent in some cases, there may also be temporary declines due to longer-term supply chain issues or healthcare reasons (the recent COVID pandemic being a prime example where overnight the travel industry was hit hard). The difficulty with the more temporary causes is not only the investor's ability to judge the potential duration of the causative factor but also the subsequent time required for recovery after the event has passed.

The more permanent declines may be currently in progress or likely to happen in the future. With current declines, an obvious example would be the move from traditional print media to digital news platforms. The ability, or even the possibility, of a company to adapt is part of the equation to determine the degree of decline.

Assessing the potential for decline poses the challenge of timing, as it is commonly unknown when there will be a substantial impact. An example of this may be the coal industry's decline due to renewable energy adoption. Poor Quality Earnings: Earnings are clearly part of the P/E ratio calculation.

However, this warrants further exploration, as earnings may be temporarily inflated, giving a misrepresentation of the company's true health. Even a company with an already low P/E that appears to have growth based on the latest earnings, and may look attractive, is worth additional checks. One-time events, accounting changes, or other non-recurring factors may all contribute, at least superficially, to earnings that may be indicative of growth potential.

For example, a company’s earnings may be inflated by a one-time sale of intellectual property or an asset. As this may be reflected more obviously in trailing rather than forward P/E, at a minimum, this should be a starting point for any assessment, but it does reinforce the need to view other broader fundamental analysis metrics. High Debt Levels: High debt levels, appearing to support a company’s ability to operate currently, may restrict future flexibility, the ability to service such debt should interest rates or consumer spending landscapes change, and ultimately jeopardize stability.

Even in a company with a comparatively low P/E and relatively good performance currently, the level of debt should be part of your decision-making process when considering stock positions for the long term. Examples of such could be a real estate company highly leveraged during rising interest rate periods or a consumer discretionary retail chain carrying excessive debt in an economic downturn. Lack of Growth Potential: There may be a situation where a low P/E reflects a decrease in price due to the market's perception of limited opportunities for a company to expand its market share, innovate, or increase revenue due to various internal and external factors.

The level of competition and innovation within a specific sector is a key potential factor in this, with a comparison to industry peers helping the investor to identify discrepancies or unique attributes that may suggest that a low P/E ratio is merited and unlikely to improve in the foreseeable future. Examples of this may include a mature telecom company with limited growth in a saturated market or a software company hindered by strong competition and a lack of innovation. Poor Management or Governance: Poor management can manifest in several ways, with varying degrees of potential damage to the company going forward, resulting in a company’s low P/E ratio reflecting trouble rather than value.

Weak leadership or governance may lead to inefficiency, apparent indecision, or strategic mistakes. This can include decisions leading to legal or regulatory issues that may threaten the company's well-being or result in substantial financial penalties. Warning signs could include: A company with frequent CEO changes, indicating instability.

A corporation's history of failed acquisitions, showing poor decision-making. A car manufacturer recalling models due to dangerous design faults. A pharmaceutical company involved in lawsuits over questionable marketing.

Conclusion: Understanding the warning signs when considering a stock with a low P/E ratio involves an in-depth analysis of various aspects, including earnings quality, financial leverage, growth prospects, product relevance, leadership quality, among many others not included in this article. We have focused on what we consider to be the top 5, and we trust this proves to be a useful starting point. Being adept in interpreting these signs is a vital skill that can help traders mitigate risks and make more informed decisions.

Quantitative trading, often referred to as quant trading, is a trading strategy that relies on the use of mathematical models, statistical analysis, and data-driven approaches to make trading decisions. Often associated with the creation of specific automated trading systems, terms Expert advisors (EAs) on MetaTrader platforms, it a perceived as a specialist branch of the trading world. This article offers a brief overview of quantitative trading and some of the key processes involved in employing this as a trading approach.

What is Quantitative Trading? In a nutshell, quantitative trading involves the systematic application of algorithms and quantitative techniques. These algorithms are designed to identify patterns, trends, and opportunities in financial markets by analysing historical and real-time data, ultimately providing the required information to execute trades.

Quantitative Trading Process: From Idea to Action There are several steps involved in the quantitative trading system process that must all be actioned prior to the implementation of any such strategy in live markets. Data Analysis: Quantitative traders analyse vast amounts of historical and real-time data, including price movements, trading volume, and other relevant financial metrics. They use this data to develop models and strategies that aim to predict future market movements.

Arguably, the increase in the development of machine learning and AI suggests that this approach may evolve further, although a detailed exploration of this is beyond the scope of this introductory article. Algorithm Development: Quantitative traders design algorithms based on the data analysis stage that implement their trading strategies. These algorithms are programmed to follow predefined rules for entering and exiting trades, managing risk, and making other trading-related decisions.

Strategy Testing: Before deploying their algorithms in real markets, quantitative traders extensively test their strategies using historical data. This process is twofold and involves back-testing, which helps traders evaluate how their strategies would have performed in past market conditions, and forward testing to ensure the validity of any back-test results. Risk Management: Risk management should be part of any strategy, and quantitative trading emphasizes strict risk management.

Traders set parameters to control the size of positions, the maximum acceptable loss per trade, strategies to reduce profit risk (i.e. giving too much back to the market from winning positions), and overall portfolio risk in specific and often adverse market conditions. These parameters help mitigate potential losses which of course is crucial in any trading approach. High-Frequency Trading (HFT): Some quantitative trading strategies are categorised as high-frequency trading.

This is where trades are executed at extremely fast speeds, often in milliseconds. HFT relies on technology infrastructure and low-latency connections to execute a large number of trades in a short time and despite concerns of this as an approach on market pricing seems to be subject to ever-increasing popularity as an approach worth consideration. Additional Potential Challenges Outside of risk management related to quant-driven trades themselves, there are four other critical considerations that must be taken into account and may contribute to the success or failure of a quantitative trading approach.

Data Quality and Consistency: Accurate and consistent data is crucial for quant trading. Discrepancies or errors in data can lead to faulty models and incorrect trading decisions. Overfitting (or Curve Fitting): Developing models that perform well in historical testing but fail to work in real-time trading is a common risk.

Overfitting occurs when models are overly complex and tailored to historical data noise rather than genuine market trends. Market Dynamics: Market conditions can change rapidly, and strategies that work in one type of market may not perform well in another. Adaptability is key to staying successful in different market environments.

Some quantitative models run all the time, riding out the fluctuations associated with different market conditions, while others may have "switches" that turn the model on or off based on specific criteria. Technology Infrastructure: Quantitative trading relies heavily on technology, including fast computers, low-latency connections, and robust trading platforms. Maintaining and updating this infrastructure is essential.

Summary Quantitative trading is frequently employed by institutions and professional traders who have access to advanced, specialist technology and data resources. It allows for systematic and disciplined trading while minimizing emotional biases. As technology develops, its prevalence is likely to increase.

However, it requires expertise in programming, data analysis, ongoing monitoring systems, and a deep understanding of financial markets to be successful.

Averaging down is an investment strategy in which an investor purchases additional shares or other assets at a lower price than their initial purchase price. This strategy is employed when the price of the asset has declined after the investor's initial purchase. Through buying more of the asset at a lower cost, the average cost per unit or share decreases.

Averaging down can be applied to various types of investments, including stocks, bonds, commodities, and cryptocurrencies. This article provides an example of what averaging down may look like and explores some of the considerations that must be taken into account prior to implementing such a strategy. Averaging Down – An Example To illustrate the principle of averaging down, consider the following example.

An investor believes in the long-term potential of an AI company's stock, ABC Tech Pty Ltd, and initially purchases 100 shares at $50 per share, resulting in a total investment of $5,000. However, over the next few months, the stock price declines due to market volatility and concerns about the company's financial performance. Initial Purchase: Bought 100 shares of ABC Tech Pty Ltd. at $50 per share.

Total investment: $5,000. Breakeven cost: $50 per share Averaging Down actioned After a few months, the stock's price has fallen to $40 per share. The investor believes that the price drop is temporary.

Rather than selling the shares at a loss of $1,000, the investor decides to employ an averaging-down strategy. The investor purchases an additional 100 shares of ABC Tech Pty Ltd at the current price of $40 per share. Here's how the investment looks after the additional purchase: Initial 100 shares at $50 per share: $5,000.

Additional 100 shares at $40 per share: $4,000. Total investment: $9,000 Breakeven cost: $45 per share The Opportunity in Averaging Down With the average cost per share now reduced from $50 to $45, a profit will be realized if the stock's price eventually rebounds and exceeds $45 per share. If the stock price increases to $55 per share, here is the updated financial picture: Initial 100 shares at $50 per share: Original value $5,000, now worth $5,500 — $500 profit.

Additional 100 shares at $40 per share: Original value $4,000, now worth $5,500 — $1,500 profit. Current total value of holdings: $11,000 from an initial investment of $9,000. Total profit: $2,000 Risks of Averaging Down However, if the stock price declines further to $35, the situation would be as follows: Initial 100 shares at $50 per share: Original value $5,000, now worth $3,500 — $1,500 loss.

Additional 100 shares at $40 per share: Original value $4,000, now worth $3,500 — $500 loss. Current total value of holdings: $7,000 from a total investment of $9,000. Total loss: $2,000 So rather than an opportunity realised there is a compounding of the losses.

This can be exaggerated further should additional averaging down purchases be made at the new lower price, which some who use this strategy would subsequently action. What this example aims to illustrate is that despite any potential advantage, merely buying more of an asset because its price has declined doesn't guarantee that the asset's value will eventually recover. Without proper research and analysis, investors might be investing in an asset with poor long-term prospects.

So, the key message is that this strategy should be based on additional considerations that must form part of the decision making. Key Considerations for Averaging Down As we have outlined, averaging down can be a tactical move when executed with careful consideration of the asset's fundamentals and market trends. It can be particularly effective for investors with a long-term perspective who believe in the asset's long-term potential.

However, the following represent some of the considerations that must be at the forefront of any such decision. Potential for Larger Losses: As already referenced but is worth re-iterating, averaging down carries the risk that the asset's price might continue to decline after additional purchases. This can result in larger losses if the price does not recover as anticipated.

The reason for any decline must be fully investigated. Of course, it could be a simple short-term market fluctuation that may be taken advantage of, but it is vital to explore whether there is a more permanent decline in company performance meaning recovery is less likely. Sunk Cost Fallacy: Averaging down can lead to a cognitive bias termed sunk cost fallacy (or sunk cost bias), where investors continue investing in a losing position because they've already committed capital.

This can prevent them from objectively assessing the asset's true potential and an emotion-based refusal to accept that the loss in value may not recover. Loss of Diversification: Overcommitting to an averaging down approach in a single asset can lead to an imbalanced portfolio, reducing diversification and so arguably increasing overall risk. Opportunity Cost: Funds used for averaging down could potentially be invested in other assets with better potential for growth.

Investors need to assess whether averaging down is the best use of their capital and so by committing more into a single asset may be losing opportunities in another. Time Horizon: Averaging down often requires a longer time horizon to potentially realise any potential gains. If an investor needs liquidity in the short term, this strategy might not align with their investment profile or goals.

Psychological Stress: Sustained declines in an asset's price can lead to emotional stress for investors who are hoping for a recovery. Emotional decision-making can lead to poor choices. Using averaging down as a substitute for a clearly defined exit strategy: Any investment should be underpinned with a soldi and unambiguous risk management foundation.

Averaging down is often employed without due consideration of this reality and often employed by those without clearly defined exit points for longer term positions. Summary Averaging down can be useful if applied thoughtfully and with a clear risk management plan. However, it comes with its own set of risks, and investors must carefully consider their risk tolerance, investment goals, and market conditions before deciding to implement this strategy.

As always, it's crucial to maintain a well thought out portfolio, conduct thorough research, and avoid emotional decision-making.

The Relative Strength Index (RSI) is an oscillator type of indicator, designed to illustrate the momentum related to a price movement of a currency pair or CFD. In this brief article we aim to outline what this indictor may tell you about market sentiment, and along with other indicators assist in your decision-making. As with most oscillator type of indicator, the RSI can move between two key points (0-100).

The major aim of the RSI is to gauge whether a particular asset, in our context a forex pair or CFD, is overbought or oversold, and the associated key levels are below 30 (when it is classed as “Oversold”) and above 70 (where it is classed as “overbought”). To bring up an RSI chart on your MT4/5 platform it is simply a case of finding the RSI in your list of indicators in the Navigation box and clicking and dragging it into your chart area. The diagram below illustrates this on a 30-minute chart.

It is generally thought that if the RSI moves into either of these two zones then a change may be imminent. Most commonly the RSI may be used as part of entry decision making. Traders may use this as an additional tick (when other indicators suggest entry) to make sure they do not enter a long trade on an overbought currency pair, or short trade on an oversold currency pair.

Therefore, when articulating this in your trading plan it may read something like the following: a. I will refrain from entry into a long trade if the RSI has moved above 70 on the last trading bar. b. I will refrain from entry into a short trade if the RSI has moved below 30 on the last trading bar.

Less frequently but logically, if one accepts this premise that a move into either of the previous described zones then a trend change may be imminent. It could also be used as a “warning” to potentially exit from an open trade. Traders who wish to explore this in their own trading could: a.

Tighten a trail stop to within a specified number of pips from current price e.g., 10 Pips. or b. Exit the trade entirely. Of course, in either case and with any indicators we discuss, back-testing it with previous trades to ascertain any change in outcomes can be performed to justify a prospective test.

Finally, after gathering a critical mass of trade examples exploring if this would make a difference, this could provide the evidence to suggest whether you should (or should not if there is no difference) formally add to your trading plan. For a live look at how indictors may be used in the reality of trading decision making, why not join our “Inner Circle” group with regular weekly webinars on a range of topic including that of indicators. It would be great to have you as part of the group.

CLICK HERE to enroll for the next inner circle session. This article is written by an external Analyst and is based on his independent analysis. He remains fully responsible for the views expressed as well as any remaining error or omissions.

Trading Forex and Derivatives carries a high level of risk.