Most Forex
Forex
Foreign exchange or forex is the act of converting one nation’s currency into another nation’s currency (that possesses a different currency); for example, the converting of British Pounds into US Dollars, and vice versa. The exchange of currencies can be done over a physical counter, such as at a Bureau de Change, or over the internet via broker platforms, where currency speculation takes place, known as forex trading.The foreign exchange market, by its very nature, is the world’s largest trading market by volume. According to the Bank of International Settlements (BIS) latest survey, the Forex market now turns over in excess of $5 trillion every day, with the most exchanges occurring between the US Dollar and the Euro (EUR/USD), followed by the US Dollar and the Japanese Yen (USD/JPY), then the US Dollar and Pound Sterling (GBP/USD). Ultimately, it is the very exchanging between currencies which causes a country’s currency to fluctuate in value in relation to another currency – this is known as the exchange rate. With regards to freely floating currencies, this is determined by supply and demand, such as imports and exports, and currency traders, such as banks and hedge funds. Emphasis on Retail Trading for ForexTrading the forex market for the purpose of financial gain was once the exclusive realm of financial institutions.But thanks to the invention of the internet and advances in financial technology from the 1990’s, almost anyone can now start trading this huge market. All one needs is a computer, an internet connection, and an account with a forex broker. Of course, before one starts to trade currencies, a certain level of knowledge and practice is essential. Once can gain some practice using demonstration accounts, i.e. place trades using demo money, before moving on to some real trading after attaining confidence. The main two fields of trading are known as technical analysis and fundamental analysis. Technical analysis refers to using mathematical tools and certain patterns to help decide whether to buy or sell a currency pair, and fundamental analysis refers to gauging the national and international events which may potentially affect a country’s currency value.
Foreign exchange or forex is the act of converting one nation’s currency into another nation’s currency (that possesses a different currency); for example, the converting of British Pounds into US Dollars, and vice versa. The exchange of currencies can be done over a physical counter, such as at a Bureau de Change, or over the internet via broker platforms, where currency speculation takes place, known as forex trading.The foreign exchange market, by its very nature, is the world’s largest trading market by volume. According to the Bank of International Settlements (BIS) latest survey, the Forex market now turns over in excess of $5 trillion every day, with the most exchanges occurring between the US Dollar and the Euro (EUR/USD), followed by the US Dollar and the Japanese Yen (USD/JPY), then the US Dollar and Pound Sterling (GBP/USD). Ultimately, it is the very exchanging between currencies which causes a country’s currency to fluctuate in value in relation to another currency – this is known as the exchange rate. With regards to freely floating currencies, this is determined by supply and demand, such as imports and exports, and currency traders, such as banks and hedge funds. Emphasis on Retail Trading for ForexTrading the forex market for the purpose of financial gain was once the exclusive realm of financial institutions.But thanks to the invention of the internet and advances in financial technology from the 1990’s, almost anyone can now start trading this huge market. All one needs is a computer, an internet connection, and an account with a forex broker. Of course, before one starts to trade currencies, a certain level of knowledge and practice is essential. Once can gain some practice using demonstration accounts, i.e. place trades using demo money, before moving on to some real trading after attaining confidence. The main two fields of trading are known as technical analysis and fundamental analysis. Technical analysis refers to using mathematical tools and certain patterns to help decide whether to buy or sell a currency pair, and fundamental analysis refers to gauging the national and international events which may potentially affect a country’s currency value.
Read this Term companies have recognized the need for automation to help engage with their trading base. Accomplishing this feat is another challenge altogether in an increasingly cutthroat industry.
Join Harel Falk, VP of Sales at Solitics and Denis Makagonov, Head of Data and 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 at Deriv for an in-depth look into conversion and retention.
Moderated by Finance Magnates’ Rachel McIntosh, the webinar will explain how data can be optimized throughout the sales lifecycle.
Top-tier brokers have realized that personalization is the key to helping create contextual and relevant customer experiences.
The webinar will focus specifically on what is driving conversion rates as well as increasing LTV and ultimately preventing churn. Sponsored by Solitics, the live webinar will take place on October 29, 2020 at 14:00 GMT.
Optimizing the Sales Cycle
A wide range of topics will be discussed during the webinar, all focusing on the best practices for client retention and the sales cycle.
This also includes a focus on how to automate and manage your KYC and margin calls easily, as well as interacting with traders personalized tops/alerts in real-time.
Learn more about the upcoming presentation and join the conversation by accessing the following webinar link.
Most Forex
Forex
Foreign exchange or forex is the act of converting one nation’s currency into another nation’s currency (that possesses a different currency); for example, the converting of British Pounds into US Dollars, and vice versa. The exchange of currencies can be done over a physical counter, such as at a Bureau de Change, or over the internet via broker platforms, where currency speculation takes place, known as forex trading.The foreign exchange market, by its very nature, is the world’s largest trading market by volume. According to the Bank of International Settlements (BIS) latest survey, the Forex market now turns over in excess of $5 trillion every day, with the most exchanges occurring between the US Dollar and the Euro (EUR/USD), followed by the US Dollar and the Japanese Yen (USD/JPY), then the US Dollar and Pound Sterling (GBP/USD). Ultimately, it is the very exchanging between currencies which causes a country’s currency to fluctuate in value in relation to another currency – this is known as the exchange rate. With regards to freely floating currencies, this is determined by supply and demand, such as imports and exports, and currency traders, such as banks and hedge funds. Emphasis on Retail Trading for ForexTrading the forex market for the purpose of financial gain was once the exclusive realm of financial institutions.But thanks to the invention of the internet and advances in financial technology from the 1990’s, almost anyone can now start trading this huge market. All one needs is a computer, an internet connection, and an account with a forex broker. Of course, before one starts to trade currencies, a certain level of knowledge and practice is essential. Once can gain some practice using demonstration accounts, i.e. place trades using demo money, before moving on to some real trading after attaining confidence. The main two fields of trading are known as technical analysis and fundamental analysis. Technical analysis refers to using mathematical tools and certain patterns to help decide whether to buy or sell a currency pair, and fundamental analysis refers to gauging the national and international events which may potentially affect a country’s currency value.
Foreign exchange or forex is the act of converting one nation’s currency into another nation’s currency (that possesses a different currency); for example, the converting of British Pounds into US Dollars, and vice versa. The exchange of currencies can be done over a physical counter, such as at a Bureau de Change, or over the internet via broker platforms, where currency speculation takes place, known as forex trading.The foreign exchange market, by its very nature, is the world’s largest trading market by volume. According to the Bank of International Settlements (BIS) latest survey, the Forex market now turns over in excess of $5 trillion every day, with the most exchanges occurring between the US Dollar and the Euro (EUR/USD), followed by the US Dollar and the Japanese Yen (USD/JPY), then the US Dollar and Pound Sterling (GBP/USD). Ultimately, it is the very exchanging between currencies which causes a country’s currency to fluctuate in value in relation to another currency – this is known as the exchange rate. With regards to freely floating currencies, this is determined by supply and demand, such as imports and exports, and currency traders, such as banks and hedge funds. Emphasis on Retail Trading for ForexTrading the forex market for the purpose of financial gain was once the exclusive realm of financial institutions.But thanks to the invention of the internet and advances in financial technology from the 1990’s, almost anyone can now start trading this huge market. All one needs is a computer, an internet connection, and an account with a forex broker. Of course, before one starts to trade currencies, a certain level of knowledge and practice is essential. Once can gain some practice using demonstration accounts, i.e. place trades using demo money, before moving on to some real trading after attaining confidence. The main two fields of trading are known as technical analysis and fundamental analysis. Technical analysis refers to using mathematical tools and certain patterns to help decide whether to buy or sell a currency pair, and fundamental analysis refers to gauging the national and international events which may potentially affect a country’s currency value.
Read this Term companies have recognized the need for automation to help engage with their trading base. Accomplishing this feat is another challenge altogether in an increasingly cutthroat industry.
Join Harel Falk, VP of Sales at Solitics and Denis Makagonov, Head of Data and 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 at Deriv for an in-depth look into conversion and retention.
Moderated by Finance Magnates’ Rachel McIntosh, the webinar will explain how data can be optimized throughout the sales lifecycle.
Top-tier brokers have realized that personalization is the key to helping create contextual and relevant customer experiences.
The webinar will focus specifically on what is driving conversion rates as well as increasing LTV and ultimately preventing churn. Sponsored by Solitics, the live webinar will take place on October 29, 2020 at 14:00 GMT.
Optimizing the Sales Cycle
A wide range of topics will be discussed during the webinar, all focusing on the best practices for client retention and the sales cycle.
This also includes a focus on how to automate and manage your KYC and margin calls easily, as well as interacting with traders personalized tops/alerts in real-time.
Learn more about the upcoming presentation and join the conversation by accessing the following webinar link.
