Jump to content

Welcome to the new Traders Laboratory! Please bear with us as we finish the migration over the next few days. If you find any issues, want to leave feedback, get in touch with us, or offer suggestions please post to the Support forum here.

  • Welcome Guests

    Welcome. You are currently viewing the forum as a guest which does not give you access to all the great features at Traders Laboratory such as interacting with members, access to all forums, downloading attachments, and eligibility to win free giveaways. Registration is fast, simple and absolutely free. Create a FREE Traders Laboratory account here.

Henry - Guiix

Performance of Moving Average Crossover Indicator on US Stocks

Recommended Posts

A moving average crossover is a simple variation of the moving average indicator. It is also a trend following indicator (not to mention one of the most famous). It does not predict price but it shows price trends. This indicator uses two (or more) moving averages, a slower moving average and a faster moving average. The faster moving average is a short term moving average. It may be 5, 10 or 25 day period while the slower moving average is medium or long term moving average. This moving average involves 50, 100 or 200 day period. A short term moving average is "faster" because it only considers prices over short period of time and is thus more reactive to daily price changes. On the other hand, a long term moving average is deemed "slower" as it encapsulates prices over a longer period and is more lethargic. However, it tends to smoothen out price noises which are often reflected in short term moving averages.

 

A moving average, as a line by itself, is often overlaid in price charts to indicate price trends. A crossover occurs when a faster moving average (i.e. a shorter period moving average) crosses a slower moving average (i.e. a longer period moving average). In other words, this is when the shorter period moving average line crosses a longer period moving average line. This meeting point is important as it gives us an idea of the optimum time to either enter (buy) or exit (sell) the market. In this article, we'll go into a semi-thorough analysis of the buy signal only.

 

The image below gives us a picture of how a buy signal is triggered. A buy signal is triggered when the shorter moving average (red line) rises above the longer moving average (orange line).

 

28891d1336535760-performance-moving-average-crossover-indicator-us-movx-usa-graph1.png

 

Figure 1 shows how moving average crossover works as a buy indicator.

 

So why is it advantageous to consider two moving averages instead of one? The common dilemma of investors is in trying to make a moving average responsive to changes in trend while not allowing it to be so sensitive that it causes a trader to prematurely enter or exit a position. This is addressed by using the moving average crossover technical indicator. This indicator stands in the middle ground. It combines the shorter period moving average's price sensitivity and the longer period moving average's sense of reality, thus giving the investor a fairly accurate appreciation of price trends.

 

The table 1 shows moving average crossover indicators grouped according to the number of days the crossover is sustained. Each indicator is given the following parameters: c=short term close price, moving average short period, w=weighted moving average, c=long term close price, moving average long period, w=weighted moving average, days crossover is sustained; couched inside the parenthesis.

 

This article will explore the reliability of the moving average crossover indicator using the results of a backtested simulation. The test used close prices of 7072 US stocks from 4th January 1982 to 31st December 2007. Prices are in US Dollars (USD). The test reviews six (6) statistics: Profit Per Year, Simulated Portfolio Gain (in US Dollars), Median Signals Per Year, Median Profit %, Success Ratio and Maximum Drawdown Loss. Sell signal is placed at 15 % stop loss (after a 15% fall from any stock price).

 

Profitability

 

See attached worksheet

 

The purpose of any good study is to determine which indicator could make a good profit. We did this by using three (3) statistics: Profit per Year, Simulated Portfolio Gain and Median Signals per Year.

 

The Profit per Year column shows the average profit of simulated stock investment per year. This simply shows the return to investor of the money used to purchase the stock at the time of entry (simulation starting at $100k and investing 1% cash-at-hand for every buy). The next column shows the Simulated Portfolio Gain of each entire backtest over all stocks at the end of the historic data period. These two statistics measure the return of money or growth of investment as shown by increase in price of stock. In other words, these statistics tell us which technical indicator has historically yielded the highest possible profit for our investment. We are therefore interested with the indicator with the highest profit or portfolio gain.

 

The third column Median Signals per Year is quite different from the two statistics. It does not give us direct measure of profit but gives us an idea as to how often we get buy signals triggered. If the value is too low, we wouldn't be able to trade, as there'd be nothing to buy. If on the other hand, the value is too high, it could also be hard to manage, as it would be impossible to buy them all as an individual. Here we are interested with the indicator having an average to high value.

 

In terms of obtaining profit, two indicators (in green highlight) performed ahead of the pack (movx(c,5,w,c,50,w,1) and movx(c,10,w,c,50,w,1). These two are highly profitable technical indicators. Both indicators show an average of 12% Profit per Year compared to the others showing only 8-11% [1]. Also, we can see that both indicators are reactive. They triggered the buy signal 7000-8000 times a year. This means that stock trading is possible and manageable. This is even recommended for short-term trading as both indicators could easily alert the investor of an uptrend.

 

However, we have also identified three indicators (highlighted in rose) which did not perform well in terms of profitability movx(c,10,w,c,100,w,3), movx(c,10,w,c,150,w,3) and movx(c,25,w,c,200,w,5)) [2]. These indicators, while having an average yearly profit, have one of the lowest, if not the lowest portfolio gains among all. We are of course not interested in indicators which do not yield a high portfolio gain for the investment.

 

On a deeper note, it seems that group 1 in Table 1 is the group with highly profitable indicators compared to other groups. This group provides the highest gain, yearly profit and above average median signals per year compared to the last two groups. The best indicators for each of the statistic belong to such group. Thus, if we are looking for a profitable indicator, we should always look at the indicator with the shorter moving average (group 1 in Table 1).

 

It may be best to show you the increase in portfolio one may expect from highly profitable indicators we have recommended so far. The image shows portfolio growth simulated using indicator movx(c,10,w,c,50,w,1) (one of the best performing indicator in terms of profitability) with 15% stop loss as buy signal for US stocks from 1983 to 2007. You can see that in a matter of 24 years, the stock value went from 94k USD to 700k USD or almost 7 times its initial value. This is a reasonable return for the investment.

 

attachment.php?attachmentid=28892&stc=1&d=1336535794

 

Risk Management

 

See attached worksheet

Table 2 shows moving average crossover indicators' performance in terms of risk management statistics

 

It is of such importance for an investor to consider risk in arriving at a financial decision. Investment entails gain or loss depending on the reliability of one's technique and experience. This section will help the investor ascertain which indicators provide the most and least win-to-loss ratio as well as the "worst case scenario" in terms of possible losses. A correct appreciation therefore of indicator performance could save an investor from undertaking ventures which may not return profit as much as expected.

 

If we are looking at risks, we should be interested first in measuring the likelihood of gain versus the likelihood of loss. This is shown by statistic Success Ratio (first column in Table 3). Technically, success here is where the stock price at the 15% stop loss sell point was above the buy price, and loss when the stop loss sell point was below the buy price. After determining the indicator which could provide more gain than loss, we also need to look at largest loss we can expect if we take the investment. This is maximum drawdown loss. It is simply the value of the portfolio after the largest string of losses assuming the investor acts according to the signals triggered. In other words, we need the indicator with a high success ratio because it is likely to gain which means safe investment for us. On the other hand, we are interested in the indicator with the lowest drawdown loss.

 

For easy reference, the least risky indicators are in green (movx(c,25,w,c,200,w,1), movx(c,25,w,c,200,w,3,0) and movx(c,25,w,c,200,w,5)), while the risky indicators are in red. The least risky indicators gave us the one of the highest success ratios and the lowest drawdown losses. By using these indicators, you can expect a more steady return of profit compared to all other indicators in the list. The risky indicators, on the other hand, are those which gave lower success ratios and highest drawdown losses. These risky indicators could result to quite unstable return and high losses.

 

Also, you will immediately notice how high the drawdown loss values are. Massive drawdowns like these suggest a risky market over a long historic period when investments are likely to lose a large portion of investment at some stage. This means that, using a moving average crossover alone is probably unwise. Some knowledge of market conditions would be quite helpful here. The image below shows yearly returns of US stocks from year 1983 to 2007 using indicator movx(c,10,w,c,50,w,1) with 15% stop loss as buy signal. The red line indicates the point where there is neither profit nor loss. Notice how the green line falls below the horizontal red line as much as it rises above it? This connotes that the stocks almost always have no returns as much as they profit. This suggests that there is just as much potential for wins as for losses during that period.

 

attachment.php?attachmentid=28893&stc=1&d=1336535794

 

Recommendations

 

The moving average crossover is one of the most well-known technical analysis tools. It gives us an appreciation of the price direction of a stock. Knowing how and when to utilize an indicator such as the moving average crossover and what specific indicator to use fit for a particular trading purpose can delineate the line between potential gain or loss.

 

This article, I hope, goes into some of the statistics of real-world performance of the moving average crossover. We have come to know which indicators suit what aspect and which indicators will not be much of a help. Thus to summarise we'll rate indicators according to overall performance. Table 3 below shows us which indicators are best for short-term, medium-term or long-term trading highlighted in green.

 

From these simulations, I'd recommend indicator movx(c,10,w,c,50,w,1) for short-term trading. It performed ahead of the pack when it comes to profit and portfolio gain yet maintained an average success ratio and relatively high median signals per year value. It suits short term trading because it triggers buy signal more often and earlier. It reacts easily to price fluctuations. One downside is its high drawdown loss value but this only makes sense because the indicator only covers a very short period of time when there is yet no strong trend forming.

 

On the other hand, two indicators proved useful to medium-term trading (movx(c,25,w,c,100,w,3) and movx(c,25,w,c,100,w,5)). These two performed remarkably in profitability statistics but still show one of the highest success ratios and one of the lowest drawdown loss values. As for long-term trading, one indicator seem to outperform the other long-term indicators in terms of both profit and risk (movx(c,25,w,c,150,w,5)). This indicator gave one of the lowest drawdown values we seek for in terms of long-term trading. Also, it has 42.94% win-to-loss ratio; one of the highest likelihood of gain compared to other indicators in the list. Overall, these four indicators topped the others.

 

See attached worksheet

movx-USA-graph1.png.825ad119be7ab5a39d9ffd69189dac82.png

movx-USA-graph2.png.bcf77d6f586630d93d1dead945a45576.png

movx-USA-graph3.png.1148c7cec926cd835ac8d8bbade89e53.png

MA Crossover.xls

Share this post


Link to post
Share on other sites
A moving average crossover is a simple variation of the moving average indicator. It is also a trend following indicator (not to mention one of the most famous). It does not predict price but it shows price trends. This indicator uses two (or more) moving averages, a slower moving average and a faster moving average. The faster moving average is a short term moving average. It may be 5, 10 or 25 day period while the slower moving average is medium or long term moving average. This moving average involves 50, 100 or 200 day period. A short term moving average is "faster" because it only considers prices over short period of time and is thus more reactive to daily price changes. On the other hand, a long term moving average is deemed "slower" as it encapsulates prices over a longer period and is more lethargic. However, it tends to smoothen out price noises which are often reflected in short term moving averages.

 

A moving average, as a line by itself, is often overlaid in price charts to indicate price trends. A crossover occurs when a faster moving average (i.e. a shorter period moving average) crosses a slower moving average (i.e. a longer period moving average). In other words, this is when the shorter period moving average line crosses a longer period moving average line. This meeting point is important as it gives us an idea of the optimum time to either enter (buy) or exit (sell) the market. In this article, we'll go into a semi-thorough analysis of the buy signal only.

 

The image below gives us a picture of how a buy signal is triggered. A buy signal is triggered when the shorter moving average (red line) rises above the longer moving average (orange line).

 

28891d1336535760-performance-moving-average-crossover-indicator-us-movx-usa-graph1.png

 

Figure 1 shows how moving average crossover works as a buy indicator.

 

So why is it advantageous to consider two moving averages instead of one? The common dilemma of investors is in trying to make a moving average responsive to changes in trend while not allowing it to be so sensitive that it causes a trader to prematurely enter or exit a position. This is addressed by using the moving average crossover technical indicator. This indicator stands in the middle ground. It combines the shorter period moving average's price sensitivity and the longer period moving average's sense of reality, thus giving the investor a fairly accurate appreciation of price trends.

 

The table 1 shows moving average crossover indicators grouped according to the number of days the crossover is sustained. Each indicator is given the following parameters: c=short term close price, moving average short period, w=weighted moving average, c=long term close price, moving average long period, w=weighted moving average, days crossover is sustained; couched inside the parenthesis.

 

This article will explore the reliability of the moving average crossover indicator using the results of a backtested simulation. The test used close prices of 7072 US stocks from 4th January 1982 to 31st December 2007. Prices are in US Dollars (USD). The test reviews six (6) statistics: Profit Per Year, Simulated Portfolio Gain (in US Dollars), Median Signals Per Year, Median Profit %, Success Ratio and Maximum Drawdown Loss. Sell signal is placed at 15 % stop loss (after a 15% fall from any stock price).

 

Profitability

 

See attached worksheet

 

The purpose of any good study is to determine which indicator could make a good profit. We did this by using three (3) statistics: Profit per Year, Simulated Portfolio Gain and Median Signals per Year.

 

The Profit per Year column shows the average profit of simulated stock investment per year. This simply shows the return to investor of the money used to purchase the stock at the time of entry (simulation starting at $100k and investing 1% cash-at-hand for every buy). The next column shows the Simulated Portfolio Gain of each entire backtest over all stocks at the end of the historic data period. These two statistics measure the return of money or growth of investment as shown by increase in price of stock. In other words, these statistics tell us which technical indicator has historically yielded the highest possible profit for our investment. We are therefore interested with the indicator with the highest profit or portfolio gain.

 

The third column Median Signals per Year is quite different from the two statistics. It does not give us direct measure of profit but gives us an idea as to how often we get buy signals triggered. If the value is too low, we wouldn't be able to trade, as there'd be nothing to buy. If on the other hand, the value is too high, it could also be hard to manage, as it would be impossible to buy them all as an individual. Here we are interested with the indicator having an average to high value.

 

In terms of obtaining profit, two indicators (in green highlight) performed ahead of the pack (movx(c,5,w,c,50,w,1) and movx(c,10,w,c,50,w,1). These two are highly profitable technical indicators. Both indicators show an average of 12% Profit per Year compared to the others showing only 8-11% [1]. Also, we can see that both indicators are reactive. They triggered the buy signal 7000-8000 times a year. This means that stock trading is possible and manageable. This is even recommended for short-term trading as both indicators could easily alert the investor of an uptrend.

 

However, we have also identified three indicators (highlighted in rose) which did not perform well in terms of profitability movx(c,10,w,c,100,w,3), movx(c,10,w,c,150,w,3) and movx(c,25,w,c,200,w,5)) [2]. These indicators, while having an average yearly profit, have one of the lowest, if not the lowest portfolio gains among all. We are of course not interested in indicators which do not yield a high portfolio gain for the investment.

 

On a deeper note, it seems that group 1 in Table 1 is the group with highly profitable indicators compared to other groups. This group provides the highest gain, yearly profit and above average median signals per year compared to the last two groups. The best indicators for each of the statistic belong to such group. Thus, if we are looking for a profitable indicator, we should always look at the indicator with the shorter moving average (group 1 in Table 1).

 

It may be best to show you the increase in portfolio one may expect from highly profitable indicators we have recommended so far. The image shows portfolio growth simulated using indicator movx(c,10,w,c,50,w,1) (one of the best performing indicator in terms of profitability) with 15% stop loss as buy signal for US stocks from 1983 to 2007. You can see that in a matter of 24 years, the stock value went from 94k USD to 700k USD or almost 7 times its initial value. This is a reasonable return for the investment.

 

attachment.php?attachmentid=28892&stc=1&d=1336535794

 

Risk Management

 

See attached worksheet

Table 2 shows moving average crossover indicators' performance in terms of risk management statistics

 

It is of such importance for an investor to consider risk in arriving at a financial decision. Investment entails gain or loss depending on the reliability of one's technique and experience. This section will help the investor ascertain which indicators provide the most and least win-to-loss ratio as well as the "worst case scenario" in terms of possible losses. A correct appreciation therefore of indicator performance could save an investor from undertaking ventures which may not return profit as much as expected.

 

If we are looking at risks, we should be interested first in measuring the likelihood of gain versus the likelihood of loss. This is shown by statistic Success Ratio (first column in Table 3). Technically, success here is where the stock price at the 15% stop loss sell point was above the buy price, and loss when the stop loss sell point was below the buy price. After determining the indicator which could provide more gain than loss, we also need to look at largest loss we can expect if we take the investment. This is maximum drawdown loss. It is simply the value of the portfolio after the largest string of losses assuming the investor acts according to the signals triggered. In other words, we need the indicator with a high success ratio because it is likely to gain which means safe investment for us. On the other hand, we are interested in the indicator with the lowest drawdown loss.

 

For easy reference, the least risky indicators are in green (movx(c,25,w,c,200,w,1), movx(c,25,w,c,200,w,3,0) and movx(c,25,w,c,200,w,5)), while the risky indicators are in red. The least risky indicators gave us the one of the highest success ratios and the lowest drawdown losses. By using these indicators, you can expect a more steady return of profit compared to all other indicators in the list. The risky indicators, on the other hand, are those which gave lower success ratios and highest drawdown losses. These risky indicators could result to quite unstable return and high losses.

 

Also, you will immediately notice how high the drawdown loss values are. Massive drawdowns like these suggest a risky market over a long historic period when investments are likely to lose a large portion of investment at some stage. This means that, using a moving average crossover alone is probably unwise. Some knowledge of market conditions would be quite helpful here. The image below shows yearly returns of US stocks from year 1983 to 2007 using indicator movx(c,10,w,c,50,w,1) with 15% stop loss as buy signal. The red line indicates the point where there is neither profit nor loss. Notice how the green line falls below the horizontal red line as much as it rises above it? This connotes that the stocks almost always have no returns as much as they profit. This suggests that there is just as much potential for wins as for losses during that period.

 

attachment.php?attachmentid=28893&stc=1&d=1336535794

 

Recommendations

 

The moving average crossover is one of the most well-known technical analysis tools. It gives us an appreciation of the price direction of a stock. Knowing how and when to utilize an indicator such as the moving average crossover and what specific indicator to use fit for a particular trading purpose can delineate the line between potential gain or loss.

 

This article, I hope, goes into some of the statistics of real-world performance of the moving average crossover. We have come to know which indicators suit what aspect and which indicators will not be much of a help. Thus to summarise we'll rate indicators according to overall performance. Table 3 below shows us which indicators are best for short-term, medium-term or long-term trading highlighted in green.

 

From these simulations, I'd recommend indicator movx(c,10,w,c,50,w,1) for short-term trading. It performed ahead of the pack when it comes to profit and portfolio gain yet maintained an average success ratio and relatively high median signals per year value. It suits short term trading because it triggers buy signal more often and earlier. It reacts easily to price fluctuations. One downside is its high drawdown loss value but this only makes sense because the indicator only covers a very short period of time when there is yet no strong trend forming.

 

On the other hand, two indicators proved useful to medium-term trading (movx(c,25,w,c,100,w,3) and movx(c,25,w,c,100,w,5)). These two performed remarkably in profitability statistics but still show one of the highest success ratios and one of the lowest drawdown loss values. As for long-term trading, one indicator seem to outperform the other long-term indicators in terms of both profit and risk (movx(c,25,w,c,150,w,5)). This indicator gave one of the lowest drawdown values we seek for in terms of long-term trading. Also, it has 42.94% win-to-loss ratio; one of the highest likelihood of gain compared to other indicators in the list. Overall, these four indicators topped the others.

 

See attached worksheet

 

This is a very informative study you've done!! I'd be very interested in seeing the sell results as well.

Share this post


Link to post
Share on other sites

Join the conversation

You can post now and register later. If you have an account, sign in now to post with your account.
Note: Your post will require moderator approval before it will be visible.

Guest
Reply to this topic...

×   Pasted as rich text.   Paste as plain text instead

  Only 75 emoji are allowed.

×   Your link has been automatically embedded.   Display as a link instead

×   Your previous content has been restored.   Clear editor

×   You cannot paste images directly. Upload or insert images from URL.


  • Topics

  • Posts

    • PLTR Palantir Technologies stock watch, consolidation at the 81.29 triple support area at https://stockconsultant.com/?PLTR
    • WMT Walmart stock watch, big pullback to 84.84 support area with high trade quality at https://stockconsultant.com/?WMT
    • AXSM Axsome Therapeutics stock watch. pullback to 120.5 gap support area with bullish indicators at https://stockconsultant.com/?AXSM
    • Date: 14th March 2025.   Gold Surges Past Record High as Market Volatility Persists.     Gold Surges Past Record High as Market Volatility Persists Gold surged towards $2,994 per ounce, surpassing its previous high set on Thursday. With a 2.6% rise this week, gold is on track for its most significant gain since November. Meanwhile, gold futures in New York comfortably exceeded the $3,000 mark, reflecting strong investor sentiment toward the precious metal. The robust performance of gold this quarter extends its strong annual rally in 2024. Market uncertainty, exacerbated by the US administration’s aggressive trade policies, has dampened risk appetite for equities, pushing the S&P 500 into correction territory this week. Central bank purchases increased ETF inflows, and bullish forecasts from major banks have further fueled gold’s ascent. Trade Tensions and Market Impact Former President Donald Trump escalated trade tensions by proposing a 200% tariff on European alcoholic beverages, including wine and champagne. Additionally, he reaffirmed his stance on retaining tariffs on steel and aluminium and signalled that reciprocal tariffs on global trade partners could take effect as early as April 2. As we approach the second quarter, reciprocal tariffs could drive another wave of market turbulence, solidifying gold’s appeal as a safe-haven asset. Gold and Equity Market Reactions The upward momentum in gold has also lifted mining stocks, with Australia’s Evolution Mining Ltd. reaching an all-time high. Global holdings in gold-backed ETFs increased to 2,687 tons, marking the highest level since November 2023. Analysts at major banks remain bullish on gold’s trajectory. Macquarie Group recently forecasted a potential spike to $3,500 per ounce in Q2, while BNP Paribas revised its outlook to show gold prices consistently above $3,000. Gold traded at $2,983.50 per ounce in the Asia session, reflecting a 14% year-to-date gain. Meanwhile, silver edged lower after nearing $34 per ounce, while platinum and palladium recorded gains.     US Stock Market Recovery Amid Uncertainty After a sharp sell-off, US stock futures rebounded. Futures tied to the Dow Jones Industrial Average rose 0.4%, while S&P 500 and Nasdaq Composite futures gained 0.6% and 0.8%, respectively. Despite the slight recovery, Wall Street remains on edge following the S&P 500’s descent into correction territory. Trump’s firm stance on tariffs has added to market concerns. During a meeting with NATO’s secretary general, he dismissed any possibility of easing trade restrictions, acknowledging that further market disruptions may lie ahead. Government Shutdown and Economic Indicators Adding to the economic uncertainty, a potential US government shutdown loomed over Wall Street. However, a breakthrough emerged late Thursday as Senate Minority Leader Chuck Schumer signalled a willingness to advance a Republican-led stopgap spending bill. Today the University of Michigan’s consumer sentiment survey is expected to shed light on how consumers are coping with inflation and trade disruptions. Last month’s report indicated weakening economic confidence, which could have further implications for spending trends. Asian Markets Rally Amid China’s Economic Stimulus Asian stock markets saw a strong performance this morning, brushing off Wall Street’s losses. Chinese stocks surged after state-run banks and financial institutions were instructed to support consumer spending. Hong Kong’s Hang Seng Index jumped 2.5% to 24,038.85, while the Shanghai Composite Index gained 1.9% to 3,420.65. In Tokyo, the Nikkei 225 added 0.9%, while Australia’s ASX 200 climbed 0.6%. China’s National Financial Regulatory Administration issued directives aimed at boosting consumer finance, including encouraging credit card usage and providing support for struggling borrowers. Economists, however, argue that broader reforms—such as wage growth and enhanced social welfare—are necessary for sustained economic recovery. Wall Street’s Struggles Amid AI Stock Declines Despite positive economic data, including lower-than-expected wholesale inflation and strong job market indicators, stock market turbulence continued. AI-related stocks, which have been at the forefront of market gains, faced renewed pressure. Palantir Technologies fell 4.8%, Super Micro Computer dropped 8%, and Nvidia fluctuated before closing 0.1% lower. Tesla also struggled, declining 3% and extending its 2025 losses to over 40%. In contrast, Intel shares soared 14.6% after announcing Lip-Bu Tan as its new CEO. Oil Prices and Currency Movements In commodities, US crude oil prices rose by $0.46 to $67.01 per barrel, while Brent crude increased by $0.44 to $70.32 per barrel. The US dollar strengthened to 148.63 Yen, while the Euro dipped slightly to $1.0845. Conclusion Market volatility remains high as investors navigate shifting trade policies, inflation concerns, and economic uncertainties. While gold continues to shine as a safe-haven asset, equity markets face persistent headwinds. As geopolitical and economic developments unfold, traders and investors must remain vigilant in the days ahead.   Always trade with strict risk management. Your capital is the single most important aspect of your trading business.   Please note that times displayed based on local time zone and are from time of writing this report.   Click HERE to access the full HFM Economic calendar.   Want to learn to trade and analyse the markets? Join our webinars and get analysis and trading ideas combined with better understanding of how markets work. Click HERE to register for FREE!   Click HERE to READ more Market news.   Andria Pichidi HFMarkets   Disclaimer: This material is provided as a general marketing communication for information purposes only and does not constitute an independent investment research. Nothing in this communication contains, or should be considered as containing, an investment advice or an investment recommendation or a solicitation for the purpose of buying or selling of any financial instrument. All information provided is gathered from reputable sources and any information containing an indication of past performance is not a guarantee or reliable indicator of future performance. Users acknowledge that any investment in Leveraged Products is characterized by a certain degree of uncertainty and that any investment of this nature involves a high level of risk for which the users are solely responsible and liable. We assume no liability for any loss arising from any investment made based on the information provided in this communication. This communication must not be reproduced or further distributed without our prior written permission.
    • ItuGlobal: Our Latest NETELLER VIPs 2025 ITU GLOBAL VIP Members’ Rewards Every calendar year, we choose 2 customers to become our VIPs. They’ve permanently special status with us and they can fund/withdraw Neteller through us, at parallel market rates, whether they open brokerage accounts through us or not.   These are people who funded with the highest amount of Neteller, and who also withdrew the highest amount of Neteller through us.  They would be announced in January each year and added to our list of VIPs. ItuGlobal: Our Latest NETELLER VIPs 2025 Adetoye Oyebanji Babalola: Adetoye O. has started selling large quantities of Neteller to us since the very beginning of our company’s existence. He also sold Perfect Money to us many times, when PM was still available in Nigeria. Besides, he has given us a lot of helpful business advice, which has proven to be invaluable to us. He deserves to become our VIP. Isiaka Adekunle Mohammed: He is a constant buyer. Buying e-currencies and also funding his Instaforex account through us. We thank Isiaka A. for his trust in us and wish him the best in everything he does. Abiodun Lawanson: This is an avid buyer and seller of Neteller. He buys and makes profits and sells back to us. Sometimes when we are not online, he will send an offline message and we will process his order once we come back online. He has thus become our VIP. Source: Ituglobalfx.com.ng  
×
×
  • Create New...

Important Information

By using this site, you agree to our Terms of Use.