ALGORITHMIC

TRADING

Algorithmic trading utilizes computer programming to perform all functions in the buying and selling of tradable assets. The developers of trading algorithms use sophisticated systems to calculate variables that affect the movement of the markets (timeframes, prices, and volumes) and then execute buy/sell orders using high speed instructions to brokerage firms for processing.

HOW DOES IT

WORK?

Algorithms are built around specific trading strategies, to behave in a pre-defined way and react when the algorithm's criteria or conditions are met. Algorithmic trading is also referred to as algo trading, automated trading, quantitative trading (quant) and robotic trading.

Algorithm trading is usually used synonymously with automated trading because they are frequently done together; the algorithm does the decision making and the automation does the orders execution. Technology has made it possible for both of these components to be performed by individuals as well as larger organisations with bigger resources. The major benefit of algorithmic trading is in the precision of trade order execution and speed of execution using online brokerages.

Automated Trading

WHO IS USING

ALGORITHMIC TRADING?

Initially algo trading was developed by large organisations with the required resources, such as Investment banks, pension fund management companies, mutual funds, large and small hedge funds.

But more recently as technology becomes more available to the masses, individuals or teams of developers can create algorithms to offer retail investors to use as part of their portfolio investment. These days It is reported that around 80% of all trading activity in the FX (Foreign Exchange) market is executed by algorithms.

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HOW DOES ALGORITHMIC TRADING

WORK?

Basically it involves the use of computers at every stage of the trade order flow. The market exchanges supply a constant stream of data to the general public for consumption. This data is often used to build charts to display trading metrics for every symbol such as volumes, prices over various time periods (1 min, 5 min, 1 hour, 1 day etc). This market data can be saved on a computer server to be used as a database.

A trading algorithm can be run on this database using many types of applications. The application checks if the market conditions are met against the algorithm's criteria and proceeds to execute the buy or sell trade orders. The orders are performed using the server to communicate with the market exchanges via brokers.

The investor can then decide to copy one or more Strategy Providers and have all the trading activity displayed and summarized in charts and tables so the copying investor can easily follow the performance of the copy trading portfolio.

Market Exchanges

A Computer Server

Algorithmic Application

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HOW CAN I BENEFIT FROM

ALGORITHMIC TRADING?

Algo trading is not just about deploying technology to perform what was generally a manual task before. There are clear benefits particularly in time savings and cost savings as well as the ultimate task of beating our own defaulted human behaviour.

the main reasons to adopt algorithmic trading:

The learning to trade curve is much shorter

Expensive beginner trader errors can be avoided

Trades are executed simultaneously and at optimized price ranges

Trade orders are executed much faster

Flattens the emotional roller coaster by reducing psychological effects

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DOES DUPLITRADE OFFER

ALGORITHMIC TRADING?

The algorithmic trading on DupliTrade is mostly applied to the Foreign Exchange (FX) market but also includes other asset classes such as commodities (Gold, Crude Oil etc), Equities (Publicly Traded Stocks), Indices (S&P500, NASDAQ, DAX etc).

DupliTrade offers a selection of Strategy Providers that use algorithm trading. Every Strategy Provider uses their own type of fully automated or semi-automated trading strategy, each with their own trading characteristics such as Trend following, Price Action, Intraday, Swing, Breakout and more. DupliTrade also offers an advanced and powerful simulator to back-test strategies to see how their algorithms have performed over various time frames.

THE MOST COMMON ALGORITHMIC TRADING STRATEGIES EMPLOYES ON DUPLITRADE ARE:

Trend following

uses technical indicators as the main condition to determine market direction. For example, if the defined asset reaches the technical indicator then the algorithm will complete the order and generate a signal.

Price Action

since price action tracks the price of an asset over time, the algorithm is programmed to buy or sell at specific prices if they are reached. Price action is usually used in tandem with trend strategies because the market trends give indications on the likelihood of a price movement happening.

Intraday

also known as Day Trading, intraday strategies are made up of sub-strategies such as momentum, breakout, moving averages, trend and more. The underlying idea is to get in and out of a trade within a day. Trading performance can be affected by financial news, changes in volume, volatility, price action and more. Intraday requires deep knowledge of the markets and situational awareness of the factors that can affect the asset price.

Swing

is based on the concept of entering a trade for a relatively short period of time, usually a few days but can be as long as a few months. The profit targets are achieved once the target price is met. Swing traders usually use both technical and fundamental analysis as well as price action to determine the entry and exit points.

Special

some algorithmic strategies employ more exotic indicators, for example Fibonacci ratios, Bollinger bands, Elliott waves indicator, Ichimoku cloud and many more. Each of these indicators are used as technical analysis tools and can be used for any of the major trading styles mentioned above.

HOW TO LEARN

ALGORITHMIC TRADING?

Algorithm trading used to be a domain for either the highly specialised trader or well resourced groups such as Funds Management companies. But over the last few years, advancements in technology have allowed these capabilities to trickle down to smaller groups or individuals who are building proprietary systems or are using off the shelf programs to deploy algorithmic trading strategies.

It is important to understand the different terminologies and characteristics of algorithmic trading (also known as algo trading) and quantitative trading (also known as quant trading) which are often used interchangeably or confused with each other.

Algorithm trading generally requires deep knowledge of the financial markets, fundamental analysis of factors that can affect asset prices, technical analysis of asset charts and indicators combined with mathematical logic to apply predefined rules before backtesting and ultimately applying to real market conditions.

Quantitative trading generally requires advanced knowledge of mathematics and statistics to research assumptions about the markets and to build probability models to see if there is a high correlation. If there is a high correlation or probability of an event repeating itself then this is developed as an algorithm and deployed to the market exchanges.

Algorithms can be handled by automated trading systems or manually by a trader, after receiving a signal to open or close a trade, from the algorithm. The algorithmic trading processes are rarely hands free, meaning that human involvement is always required at various times during the cycle.

Of course once the financial knowledge and mathematical or statistical know-how have been covered, there is still the small issue of coding an algorithm. These days most algorithm trading is coded using popular languages such as C++, C# (C Sharp), Python, Java, MatLab (requires licensing fees) or "R" which is a free open source program. Then when the algorithm has been developed and back-tested it needs to be developed in the language of the trading platform such as the MQL language in the very common MT4/MT5 platform, to carry out the trade functions (Buy / Sell / SL / TP orders).

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IS ALGORITHMIC TRADING

LEGAL?

Online trading falls into two distinct categories. Regulated and unregulated. Regulated companies can be brokers or software companies providing platforms or tools for individuals or groups to use to trade on the financial markets. Regulated companies like DupliTrade work only with top tier regulated brokers to offer financial services to investors from countries that allow online trading including algorithmic trading.

To be considered a regulated company the company must be compliant with multiple countries jurisdictions such as the European Union's Markets in Financial Instruments Directive (MiFID), Australian Securities and Investment Commission (ASIC), British Virgin Islands (B.V.I), Japan's Financial Services Agency, South Africa's Financial Sector Conduct Authority (FSCA), the Middle East's Financial Services Regulatory Authority and other official legally recognised regulations.

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MORE ON ALGO

TRADING

It is estimated that at least 80% of all global trading volume is performed using algorithms.The prevalence of algorithmic trading is well established in larger financial institutions and is being pushed forward with the technological advancements of Machine Learning (ML) and Artificial Intelligence (AI). These technologies are newer, more advanced and will undoubtedly lead the way for others looking to gain the qualitative edge in profitable trading.

One problem that arises with the current generation of algorithmic trading is that it is difficult to differentiate between successful and unsuccessful algo trading strategies. Most algorithms being developed have only been around for a short time, are narrow in their capabilities, do not employ risk management strategies and are not verified by the general trading community. DupliTrade has a unique offering in that the auditing process is very rigorous and not every trading algorithm can be offered to investors. Read more about the extensive auditing process.

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DupliTrade Is Operated By DupliTrade Limited.

DupliTrade Limited Is A Company Registered In The British Virgin Islands With Registered Office Address At Kingston Chambers, PO Box 173, Road Town, Tortola, BVI

Disclaimer: Trading foreign exchange ("Forex"), commodity futures, options, contract for difference ("CFD") and spread betting on margin (the "investment products") carry a high level of risk, and may not be suitable for all investors. Before deciding to trade using the investment products you should carefully consider your monetary objectives, level of experience, and risk appetite. The possibility exists that you could sustain a loss of some or all of your deposited funds and therefore you should not speculate with capital that you cannot afford to lose. You should be aware of all the risks associated with the investment products, and seek advice from an independent advisor if you have any doubts. Past performance results are not necessarily indicative of future results. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown. The performance results of the demonstration ("demo") account displayed on this website imitating real time transactions made by investors using the investment products in real accounts, do not guarantee that same results would have been achieved if you were to imitate the foregoing transactions in real time using a real account. In fact, there are frequently sharp differences between performance results using the demo account and performance results achieved by using any particular investment product and third party trading signals in real account, due to factors related to the involvement of your broker in the transaction and technical limitations and capabilities, which are not under the control of DupliTrade. Finally, there are numerous other factors related to the markets in general or to the implementation of any specific investment product and third party trading signal which cannot be fully accounted for by past performance results. Prospective clients should be particularly wary of placing undue reliance on past performance results and should not base their decision to use any investment product and/or any third party trading signal solely on the past performance presented. The investment products described herein have been developed for sophisticated traders who fully understand the nature and the scope of the risks that are associated with trading. Therefore, in making an investment decision, prospective clients must also rely on their own examination of the person or entity making the trading decisions and the terms of the advisory agreement including the merits and risks involved. You understand that there is no strategy provider or recommendation service that is free from the risk of loss. You also understand that the transfer of third party trading signals by the application to your brokers trading account, shall not in any event constitute the provision of investment services or advice by DupliTrade. In making a decision to follow a specific third party trading signal, account, portfolio and/or strategy, you have considered your entire financial situation including financial commitments and you understand that you could sustain significant losses in your account. DupliTrade does not imply or guarantee that you will make a profit and you agree that neither DupliTrade nor any of its officers, directors, employees, consultants, agents or affiliates will be held responsible for the performance of the trading signals generated by third parties and transferred by the application to your brokers trading account or trading losses in your account. If you do not agree with the terms of the disclaimer, please exit the website and do not use any of its investment products. (the terms of your and application shall have the meaning ascribed to them in the end user license agreement). Please refer to our Risk Warning for more detailed information.

Address:

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