Combining Forex Trading And Mining For Easy Money In Montreal, Canada

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Combining Forex Trading And Mining For Easy Money In Montreal, Canada

Combining Forex Trading And Mining For Easy Money In Montreal, Canada

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By Francesco Rundo Francesco Rundo Scilit Preprints.org Google Scholar 1, * , Francesca Trenta Francesca Trenta Scilit Preprints.org Google Scholar 2, Agatino Luigi di Stallo Agatino Luigi di Stallo Scilit Preprints.org Google Scholar 3 and Settianostatobaprinter Battianostiatoba org Google Scholar 2

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Received: March 7, 2019. / Revised: April 23, 2019 / Date of acceptance: April 27, 2019. / Published: April 29, 2019

(This article belongs to a special issue of Bio-Inspired Mathematical Modeling and Machine Learning Algorithms for Digital Financial Applications)

Algorithmic grid trading has become very popular among traders because it exhibits several advantages over similar approaches. Basically, a grid trading strategy is a method that seeks to profit from the market movements of the underlying financial instrument by correctly placing buy and sell orders on time intervals (grid intervals). The main advantage of the grid trading strategy is the financial stability of the algorithm, as it provides a reliable way to mediate losses in financial transactions, but this means a very complex trading management algorithm. For these reasons, grid trading is one of the best approaches to use in high frequency trading (HFT) strategies. Due to the high level of unpredictability of financial markets, many investment funds and institutional traders choose HFT (high frequency trading) systems, which allow to achieve high performance due to the large number of financial transactions executed in a short period of time. deadline. The combination of HFT strategies with the use of machine learning techniques to predict financial time series has greatly improved the capabilities and overall performance of modern automated trading systems. With this in mind, the authors present an automatic HFT grid trading system that works on the FOREX (foreign currency) market. The performance of the proposed algorithm with reduced cost has confirmed the effectiveness and reliability of the proposed approach.

Combining Forex Trading And Mining For Easy Money In Montreal, Canada

Algorithmic trading is a new mode of operation that involves the use of powerful automated algorithms, known as trading robots or expert advisors, that help traders monitor actual market conditions to identify the best opportunities to buy or short sell traded instruments. An order may or may not be opened according to the specific rules properly processed by the aforementioned trading robots. In particular, the trading robot may suggest a specific stop loss and/or set a specific profit level to maximize performance and minimize losses or total losses. In addition, the adopted algorithmic trading may decide to close the transaction or to manage the network of trading transactions if this type of approach is adopted. In this context, the aim of this paper is to present an innovative mesh trading algorithm capable of negotiating the complex OTC (over-the-counter) market. Basically, a grid trading strategy is a financial technique in which market trades are opened (all long or short) on the same ticker that match each other (grid orders) until the total balance of all trades (including all open trades) is reached. desired benefit. The distance between one trade and the next describes the radius of the grid, which can be defined statically or dynamically. The main advantage of grid trading systems is financial stability, because if the trading system incorrectly determines the direction of the trend, the opening of other positions in the same direction (grid orders) serves to average the loss, and on the contrary, if the trend forecasting system correctly determines the direction of the trend, it is necessary to open more positions allows you to quickly reach the profit. Obviously, the direct consequence of this strategy is related to the need to obtain sufficient funds capable of covering the total financial risk due to several transactions opened at the same time in the countertrend in the securities account. Therefore, the aforementioned financial stability of the grid trading approach should be related to the funds in the trading account. Reportedly, the introduced grid approach will be used in OTC financial instruments. In the OTC stock market, especially when trading CFDs (Contract for Differences), the transactions are not executed in the official market because the provider broker is your trading partner [1]. One of the most traded instruments in the over-the-counter currency market is the so-called FOREX (foreign exchange), which reflects the dynamics of the decentralized international financial market, where investors and speculators exchange one currency. another [1].

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A few years ago, before the explosion of online trading, FOREX trading was the exclusive domain of large financial institutions. Nowadays, online trading platforms have opened up the market for all small investors who want to buy or short the currencies, especially the CFD instrument that tracks the exchangeable currency in the real market [1].

The main advantage of the FOREX over-the-counter currency market is mainly due to its high liquidity, as well as the virtually continuous worldwide trading activity that begins every week late on Sunday night and closes on Friday evening. that week. According to the current GMT fixing, forex trading hours are carried out between 13:00 and 22:00 GMT on the world’s major financial exchanges, such as the New York Stock Exchange, and the Sydney Stock Exchange is online at 22:00 GMT; Tokyo opens at 00:00 AM and closes at 09:00 AM GMT; and to complete the cycle, London opens at 08:00 and closes at 17:00 GMT. Consequently, the FOREX market has no central location for trading operations and currency traders make predictions based on global economic indicators and each FOREX broker offers quotes based on current market value.

Despite the high efficiency of the foreign exchange market, it offers significantly reduced profit opportunities compared to other financial markets due to the high volatility and unpredictability of the underlying currency. In fact, currency markets are heavily influenced by monetary policy and central bank interventions, leading to market inefficiencies that are difficult to model using mathematical approaches and therefore difficult to predict accurately. For the reasons mentioned so far, the authors have developed an appropriate algorithm to eliminate the inefficiencies of the said FOREX market in order to increase the overall performance of the trading system by taking advantage of the strengths of the forex market. the market will have high liquidity.

In Part 2, we will introduce the advanced techniques of automatic trading systems, especially related to the currency market. An overview of our proposed pipeline is discussed in Section 3. Section 4 presents the results, validation and benchmark comparison of the proposed approach. Finally, in Section 5, we present conclusions and future work.

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Many approaches have been developed in the scientific literature to predict the behavior of the stock market. In particular, the heuristic science called technical analysis has been widely used to solve financial problems and create effective trading strategies [2]. However, the results of applying technical analysis to financial markets are quite weak in terms of productivity and reduction, so recently this approach has been significantly improved by advanced financial mathematical modeling and innovative and powerful machine learning algorithms. 2].

In recent years, neural networks have become popular in the field of technical analysis for financial market forecasting. In particular, their ability to capture complex nonlinear and interactive effects makes them very powerful for modeling nonlinear economic relationships. Accordingly, there has been a lot of recent work on the application

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