Relevant bibliographies by topics / MetaTrader 4

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters

Academic literature on the topic 'MetaTrader 4'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "MetaTrader 4"

1

Suratman, Suratman. "Expert Advisor Foreign Exchange Menggunakan Simple Moving Average." Jurnal Bangkit Indonesia 7, no. 1 (March 6, 2018): 30. http://dx.doi.org/10.52771/bangkitindonesia.v7i1.33.

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Foreign exchange (forex) trading adalah transaksi perdagangan nilai tukar mata uang asing di pasar uang internasional, pada saat ini perdagangan foreign exchange banyak diminati oleh masyrakat luas. Pada dasarnya trading forex (foreign exchange) dilakukan secara manual, sehingga hal itu membutuhkan pemantauan grafik harga secara terus-menerus pada layar monitor dan tentu saja itu membuang waktu dan tenaga serta psikologi trader sendiri. Berdasarkan permasalahan yang ada, penulis melakukan analisa dan merancang expert advisor menggunakan indikator simple moving average yang mengantisipasi kelemahan-kelemahan pada trading manual.Perancangan expertadvisor menggunakan indikator simple moving average yang penulis usulkan telah menjawab permasalahan yang ada. Dengan demikian expert advisor ini akan memberikan hasil yang baik dalam trading. Software yang digunakan sebagai alat bantu dalam penelitian ini adalah menggunakan metaeditor dan metatrader 4, metodologi yang digunakan untuk pengembangan expert advisor ini adalah menggunakan metode sekuensial linier.
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Imano, Iis Teguh, and Nugroho Eko Budiyanto. "SISTEM TRADING FOREX OTOMATIS MENGGUNAKAN INDIKATOR RSI DAN MA DENGAN METODE MARTINGALE DI METATRADER 4." Jurnal Informatika dan Rekayasa Perangkat Lunak 1, no. 1 (March 1, 2019). http://dx.doi.org/10.36499/jinrpl.v1i1.2760.

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Aktivitas inti dari bisnis trading forex yaitu melakukan buy atau sell yang terus dilakukan dengan konsisten sehingga memperoleh sebuah profit. Untuk memperoleh profit yang di inginkan, maka penting untuk menyesuaikan prediksi dengan arah market yang sedang berkembang. Oleh karena itu diperlukan indikator yang tepat sehingga prediksi harga tidak banyak meleset. Namun trader yang mengikuti prediksi dari sinyal indikator sering tidak tepat waktu untuk melakukan transaksi sehingga tidak bisa mencapai profit yang konsisten. Solusi agar trader menemukan peluang transaksi yang tepat waktu berdasarkan indicator adalah dengan membangun sebuah system trading forex otomatis atau disebut Expert Advisor. Metode perancangan yang digunakan untuk membangun system trading forex otomatis adalah metode waterfall yaitu metode yang tahapan pengembangannya meliputi analysis, design, coding, testing dan maintenance agar kualitas dari sistem yang dihasilkan akan baik karena dikerjakan secara bertahap. System trading forex otomatis dibuat dalam aplikasi MetaEditor yang ditulis menggunakan bahasa pemrograman MQL4 dan perancangan sistemnya menggunakan UML. Dengan adanya system trading forex otomatis yang telah dibuat dan diuji, system ini mampu melakukan transaksi secara otomatis tanpa harus memantau pergerakan harga selama 24 jam, dan memberikan peluang transaksi yang tepat waktu serta menghasilkan profit yang konsisten sehingga dapat memberi keuntungan bagi para pengguna. Kata kunci: Forex, Expert Advisor, MQL4, MetaTrader 4, MetaEditor
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Dissertations / Theses on the topic "MetaTrader 4"

1

Barva, David. "Investiční modely v prostředí finančních trhů." Master's thesis, Vysoké učení technické v Brně. Ústav soudního inženýrství, 2015. http://www.nusl.cz/ntk/nusl-233137.

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This master thesis evaluates about investing in the currency market, commonly known as Forex. The master thesis is primarily deal with proposal of automated trading system for trading in major currency pairs using breakout strategies. These strategies creation is based on market analysis, volatility, correlation and analysis revealing patterns of time during the trading day. In practical part is formed diversified investment portfolio composed of five investment profitable strategies, which were used during four-month testing period on unknown market data.
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Bártíková, Pavlína. "Postupy řízení rizik při obchodování na akciovém trhu." Master's thesis, Vysoké učení technické v Brně. Ústav soudního inženýrství, 2016. http://www.nusl.cz/ntk/nusl-241300.

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This thesis deals with trading on stock market. It focuses on technical analysis and algorithms based on that. The thesis also includes design, implementation, optimization and testing a trading system which is based on a combination of exponential and simple moving averages. The thesis presents the achieved results.
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3

Toth, Václav. "Návrh a implementace obchodního systému v prostředí devizových trhů." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2017. http://www.nusl.cz/ntk/nusl-318613.

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The master thesis deals with proposal of automated trading system and its implementation in the Foreign exchange market environment. This system will be developed as investment model based on the analyzes performed and then tested on real data to achieve maximum stability and profit.
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Books on the topic "MetaTrader 4"

1

Young, Andrew R. Expert advisor programming: Creating automated trading systems in MQL for MetaTrader 4. Nashville, TN: Edgehill Pub., 2010.

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2

Quan min huo bi zhan: Wai hui jiao yi Metatrader 4 gong lue. Beijing: Zhong guo jing ji chu ban she, 2011.

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3

Young, Andrew R. Expert Advisor Programming for MetaTrader 4: Creating automated trading systems in the MQL4 language. Edgehill Publishing, 2015.

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Book chapters on the topic "MetaTrader 4"

1

Averchenko, Dmitry, and Artem Aldyrev. "Applying Neural Networks for Modeling of Financial Assets." In Advances in Finance, Accounting, and Economics, 172–204. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3767-0.ch010.

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The purpose of this chapter is to develop an analytical system for forecasting prices of financial assets with the use of artificial neural networks technology. Proposed by the authors, the analytical system consists of several neural networks, each of which makes the forecast of financial assets prices. The system includes recurrence (with feedback) neural networks with sigmoidal activation formula. This allows the networks to “remember” a sequence of reactions to the same stimulus. The learning process of neural networks is performed using an algorithm of back propagation of error. The key parameters of forecast for this analytical system are the indicators presented by the terminal MetaTrader 4-broker Forex Club: Average Directional и Movement Index; Bollinger Bands; Envelopes; Ichimoku Kinko Hyo; Moving Average; Parabolic SAR; Standard Deviation; Average True Range; and others.
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2

Averchenko, Dmitry, and Artem Aldyrev. "Applying Neural Networks for Modeling of Financial Assets." In Research Anthology on Artificial Neural Network Applications, 1381–413. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-2408-7.ch067.

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The purpose of this chapter is to develop an analytical system for forecasting prices of financial assets with the use of artificial neural networks technology. Proposed by the authors, the analytical system consists of several neural networks, each of which makes the forecast of financial assets prices. The system includes recurrence (with feedback) neural networks with sigmoidal activation formula. This allows the networks to “remember” a sequence of reactions to the same stimulus. The learning process of neural networks is performed using an algorithm of back propagation of error. The key parameters of forecast for this analytical system are the indicators presented by the terminal MetaTrader 4-broker Forex Club: Average Directional и Movement Index; Bollinger Bands; Envelopes; Ichimoku Kinko Hyo; Moving Average; Parabolic SAR; Standard Deviation; Average True Range; and others.
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