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How do I set up a Forex Robot?

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Open access•Proceedings Article•DOI An investigation into the recurring patterns of forex time series data Yoke Leng Yong, Yunli Lee, David Chek Ling Ngo - Show less +2 more 01 Oct 2015 2 Citations	By obtaining an intimate understanding of the forex market, traders will hopefully be able to forecast and react to forex price oscillations on-the-fly towards making a profitable investment.
Open access•Journal Article•DOI Sign and Amplitude Representation of the Forex Networks Sylwia Gworek, Jaroslaw Kwapien, Stanisław Drożdż - Show less +2 more 01 Apr 2010-Acta Physica Polonica A 8 Citations	There exist however interesting peripheral differences that may open a new perspective to view the Forex dynamics.
Open access•Journal Article•DOI Measuring the Efficiency of the Intraday Forex Market with a Universal Data Compression Algorithm Armin Shmilovici, Yoav Kahiri, Irad Ben-Gal, Shmuel Hauser - Show less +3 more 01 Mar 2009-Computing in Economics and Finance 35 Citations	However, the predictability of the model is not sufficient to generate a profitable trading strategy, thus, Forex market turns out to be efficient, at least most of the time.
Proceedings Article•DOI Forecasting of currency exchange rates using ANN: a case study Joarder Kamruzzaman, Ruhul A. Sarker - Show less +1 more 01 Jan 2003 119 Citations	Experimental results demonstrate that ANN based model can closely forecast the forex market.
Proceedings Article•DOI Forecasting Trading-Time based Profit-Making Strategies in Forex Industry: Using Australian Forex Data Mihiran Rupasinghe, Malka N. Halgamuge, Nguyen Tran Quoc Vinh - Show less +2 more 24 Oct 2019 1 Citations	This study should be useful as a reference for researches in Forex market analyses and Forex Industry to utilize profitmaking strategies.
Proceedings Article•DOI A foreign exchange portfolio management mechanism based on fuzzy neural networks Shuo Yao, M. Pasquier, Chai Quek - Show less +2 more 01 Sep 2007 9 Citations	Experimental results on real world Forex market data shows that the proposed mechanism yields significantly higher profits against various popular benchmarks.
Open access•Proceedings Article•DOI An intelligent forex monitoring system A. Abraham, Morshed U. Chowdhury - Show less +1 more 01 Jan 2001 16 Citations	It is observed that the proposed connectionist models were able to predict the average forex rates one month ahead accurately.
Open access•Proceedings Article•DOI Analysis of Hybrid Soft and Hard Computing Techniques for Forex Monitoring Systems Ajith Abraham 07 May 2004-arXiv: Artificial Intelligence	It is observed that the proposed hybrid models could predict the forex rates more accurately than all the techniques when applied individually.

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How can i make a trading bot?4 answersTo make a trading bot, you can use various approaches and technologies. One option is to use deep reinforcement learning to automate swing trading. This involves training a neural network model to make decisions on buying, selling, or holding stocks based on maximizing asset value. Another approach is to use a bot that can trade by itself using technical indicators such as RSI, VWAP, and MACD. This bot can analyze the market and take positions accordingly, allowing investors and traders to focus on their other work. Additionally, decentralized trading bots using blockchain technology can be developed, which can provide transparency, privacy, and better access to liquidity. These bots can interact with cryptocurrency exchanges and place buy/sell orders based on predefined strategies. By combining these technologies and approaches, you can create a trading bot that automates trading decisions and maximizes profit potential.

Automated .forex trading?5 answersAutomated forex trading refers to the use of computer programs to submit a large number of trading orders to an exchange without human intervention. It is a hot research topic in the field of finance, with various strategies and algorithms being developed to optimize trading performance. Studies have examined the effectiveness of different machine learning models, such as support vector machines, random forests, Bayesian autoregressive trees, dense-layer neural networks, and naive Bayes classifiers, in forecasting forex time series. Additionally, technical and fundamental analysis have been used to develop trading strategies that can identify lucrative opportunities in the forex market. Computer models have been employed to automate trading strategies and predict exchange rate fluctuations. To improve the reliability of trading signals, multiple indicators can be fused using the D-S theory. Overall, automated forex trading offers a method for efficient and algorithmic trading in the foreign exchange market.

What is an automated indicator-based forex currency pair trading strategy?How do they work?2 answersAn automated indicator-based forex currency pair trading strategy is a trading strategy that uses indicators, such as technical analysis, fundamental analysis, and sentiment analysis, to determine when to buy or sell a currency pair in the foreign exchange market. These strategies rely on the values of indicators to make trading decisions and often involve the optimization of parameters to maximize profit. The goal is to automate the trading process by using computer models and applications to predict future values of exchange rates and make trading decisions accordingly. These strategies aim to improve the quality and reliability of trading signals by combining multiple indicators and using machine learning techniques.

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