Daily Forex Market Update: Being Short on the GBP/JPY Today

ABOUT THE AUTHOR: John Putman II is a full-time trader and managing member at FX Analytics Analytics Analytics may be defined as the detection, analysis, and relay of consequential patterns in data. Analytics also seeks to explain or accurately reflect the relationship between data and effective decision making. In the trading space, analytics are applied in a predictive manner in an attempt to more accurately forecast the price. This predictive model of analytics generally involves the analysis of historical price patterns that are used in an attempt to determine certain price outcomes. Analytics may also be structured with a descriptive model, where readers attempt to draw a correlation and better understanding as to how and why traders react to a particular set of variables. Traders sometimes implement technical indicators such as moving averages, Bollinger Bands, and breakpoints which are built upon historical data and are used to predict future price movements. How Analytics Relates to Algo TradingAnalytics are relied upon in the concept of algorithmic trading where software is programmed to autonomously signal and/or execute buy and sell orders based upon a series of predetermined factors. In the institutional space, Algo-trading has become vastly competitive over the years as trading institutions seek to outperform competitors through automated systems and the virtual application of trading strategies.The digestion and computation of analytics are also seen in the emerging field of high-frequency trading, where supercomputers are used to analyze multiple markets simultaneously to make near-instantaneous automated trading decisions. Platforms that support HFT have the capability to significantly outperform human traders.This is due to the innate ability to be able to comprehensively analyze big data sets while taking under do consideration an innumerable sum of factors that humans are incapable of comprehending in such speed. Additionally, analytics are seen with backtesting. Backtesting is used by traders to test the consistency and effectiveness of trading strategies and software-based trading solutions against historical price data. Backtesting also serves as an ideal playground for the further development of high-frequency trading as well as evaluating the performance of manual or automated trades. Analytics will continue to have an increasingly significant role in trading as emerging technologies and the advancement of trading applications progress beyond human capability. Analytics may be defined as the detection, analysis, and relay of consequential patterns in data. Analytics also seeks to explain or accurately reflect the relationship between data and effective decision making. In the trading space, analytics are applied in a predictive manner in an attempt to more accurately forecast the price. This predictive model of analytics generally involves the analysis of historical price patterns that are used in an attempt to determine certain price outcomes. Analytics may also be structured with a descriptive model, where readers attempt to draw a correlation and better understanding as to how and why traders react to a particular set of variables. Traders sometimes implement technical indicators such as moving averages, Bollinger Bands, and breakpoints which are built upon historical data and are used to predict future price movements. How Analytics Relates to Algo TradingAnalytics are relied upon in the concept of algorithmic trading where software is programmed to autonomously signal and/or execute buy and sell orders based upon a series of predetermined factors. In the institutional space, Algo-trading has become vastly competitive over the years as trading institutions seek to outperform competitors through automated systems and the virtual application of trading strategies.The digestion and computation of analytics are also seen in the emerging field of high-frequency trading, where supercomputers are used to analyze multiple markets simultaneously to make near-instantaneous automated trading decisions. Platforms that support HFT have the capability to significantly outperform human traders.This is due to the innate ability to be able to comprehensively analyze big data sets while taking under do consideration an innumerable sum of factors that humans are incapable of comprehending in such speed. Additionally, analytics are seen with backtesting. Backtesting is used by traders to test the consistency and effectiveness of trading strategies and software-based trading solutions against historical price data. Backtesting also serves as an ideal playground for the further development of high-frequency trading as well as evaluating the performance of manual or automated trades. Analytics will continue to have an increasingly significant role in trading as emerging technologies and the advancement of trading applications progress beyond human capability. Read this Term, a third-party research provider focused on exchange rate modeling, economic complexity, genetic programming and distributive computing.

In early trading we saw the Aussie, Euro and Pound Indices all gain ground. The Kiwi weakened overall while the Swiss and Dollar remained relatively unchanged. The Pound Index is slowly approaching resistance which is a good thing as I’m on the wrong side of a GBP/JPY trade and can use all the help I can get, and the Kiwi is sitting at its macro support. These two may warrant further analysis as there may be potential setups in the underlying pairs. The balance of price action in the other exchange rates is relatively neutral.

In the matrix this morning, there are 16 regression signals, six of which have cyclical support, but only two aren’t suffering from counter-momentum. Those will be put aside until this afternoon and then reevaluated. Of the two that are left, GBP/USD and NZD/CAD, the latter is of more interest to me at this time. I’m currently short the GBP/JPY, and taking a beating on it, and the correlation between that and the GBP/USD is just a little too high, I’d likely end up with unintended Leverage Leverage In financial trading, leverage is a loan supplied by a broker, which facilitates a trader in being able to control a relatively large amount of money with a significantly lesser initial investment. Leverage therefore allows traders to make a much greater return on investment compared to trading without any leverage. Traders seek to make a profit from movements in financial markets, such as stocks and currencies.Trading without any leverage would greatly diminish the potential rewards, so traders need to rely on leverage to make financial trading viable. Generally, the higher the fluctuation of an instrument, the larger the potential leverage offered by brokers. The market which offers the most leverage is undoubtedly the foreign exchange market, since currency fluctuations are relatively tiny. Of course, traders can select their account leverage, which usually varies from 1:50 to 1:200 on most forex brokers, although many brokers now offer up to 1:500 leverage, meaning for every 1 unit of currency deposited by the trader, they can control up to 500 units of that same currency. For example, if a trader was to deposit $1000 into a forex broker offering 500:1 leverage, it would mean the trader could control up to five hundred times their initial outlay, i.e. half a million dollars. Likewise, if an investor using a 1:200 leveraged account, was trading with $2000, it means they would be actually controlling $400,000, i.e. borrowing an additional $398,000 from the broker. Assuming this investment rises to $402,000 and the trader closes their trade, it means they would have achieved a 100% ROI by pocketing $2000. With leverage, the potential for profit is clear to see. Likewise, it also gives rise to the possibility of losing a much greater amount of their capital, because, had the value of the asset turned against the trader, they could have lost their entire investment.FX Regulators Clamp Down on Leverage Offered by BrokersBack in multiple regulators including the United Kingdom’s Financial Conduct Authority (FCA) took material measures to protect retail clients trading rolling spot forex and contracts for difference (CFDs). The measures followed after years of discussion and the result of a study which showed the vast majority of retail brokerage clients were losing money. The regulations stipulated a leverage cap of 1:50 with newer clients being limited to 1:25 leverage. In financial trading, leverage is a loan supplied by a broker, which facilitates a trader in being able to control a relatively large amount of money with a significantly lesser initial investment. Leverage therefore allows traders to make a much greater return on investment compared to trading without any leverage. Traders seek to make a profit from movements in financial markets, such as stocks and currencies.Trading without any leverage would greatly diminish the potential rewards, so traders need to rely on leverage to make financial trading viable. Generally, the higher the fluctuation of an instrument, the larger the potential leverage offered by brokers. The market which offers the most leverage is undoubtedly the foreign exchange market, since currency fluctuations are relatively tiny. Of course, traders can select their account leverage, which usually varies from 1:50 to 1:200 on most forex brokers, although many brokers now offer up to 1:500 leverage, meaning for every 1 unit of currency deposited by the trader, they can control up to 500 units of that same currency. For example, if a trader was to deposit $1000 into a forex broker offering 500:1 leverage, it would mean the trader could control up to five hundred times their initial outlay, i.e. half a million dollars. Likewise, if an investor using a 1:200 leveraged account, was trading with $2000, it means they would be actually controlling $400,000, i.e. borrowing an additional $398,000 from the broker. Assuming this investment rises to $402,000 and the trader closes their trade, it means they would have achieved a 100% ROI by pocketing $2000. With leverage, the potential for profit is clear to see. Likewise, it also gives rise to the possibility of losing a much greater amount of their capital, because, had the value of the asset turned against the trader, they could have lost their entire investment.FX Regulators Clamp Down on Leverage Offered by BrokersBack in multiple regulators including the United Kingdom’s Financial Conduct Authority (FCA) took material measures to protect retail clients trading rolling spot forex and contracts for difference (CFDs). The measures followed after years of discussion and the result of a study which showed the vast majority of retail brokerage clients were losing money. The regulations stipulated a leverage cap of 1:50 with newer clients being limited to 1:25 leverage. Read this Term by adding it in. While the correlation between the GBP/JPY and the NZD/CAD is actually negative, getting long the NZD/CAD while short the GBP/JPY actually puts it in gear to a small degree. Difficult to squeeze out all the risk.

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