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This paper presents a novel neuro-fuzzy approach in foreign exchange (Forex) portfolio management to pick the right pairs of currencies to buy and sell with optimized market timing.
There exist however interesting peripheral differences that may open a new perspective to view the Forex dynamics.
Proceedings ArticleDOI
Ma Li, Fan Suo-hai 
03 Dec 2013
10 Citations
Therefore, SVR optimized by the improved artificial fish swarm algorithm can be effectively used in forex prediction.
Proceedings ArticleDOI
Joarder Kamruzzaman, Ruhul A. Sarker 
01 Jan 2003
119 Citations
Experimental results demonstrate that ANN based model can closely forecast the forex market.
Taking this into account, the authors propose an automatic HFT grid trading system that operates in the FOREX (foreign exchange) market.
Experimental results on real world Forex market data shows that the proposed mechanism yields significantly higher profits against various popular benchmarks.

Related Questions

How reinforcement learning implement in forex trading?5 answersReinforcement learning is implemented in forex trading by using deep Q-networks and actor-critic-based algorithms. These approaches aim to maximize profits by learning effective trading strategies. In the deep Q-network approach, state signals are extracted from forex price data, including novel features that capture price change trends over different time intervals. These features are used as the state signal for reinforcement learning, along with the agent's current position features. The reinforcement learning agent takes actions such as opening positions, closing positions, or holding positions based on the state signals. The reward signal is formulated to maximize profit. Experimental results show that these approaches outperform baseline features and confirm the usefulness of price change trend features for forecasting in forex trading. Additionally, the actor-critic-based algorithms, such as Proximal Policy Optimization, Deep Deterministic Policy Gradient, and Twin Delayed DDPG, are used to learn stock trading strategies and maximize investment return.
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 a trading strategy in forex?4 answersA trading strategy in forex refers to a set of rules or guidelines that traders use to make decisions about buying or selling currency pairs in the foreign exchange market. These strategies can be developed using various methods and techniques. For example, one approach is to use a genetic algorithm to evolve profitable trading rules based on weighted moving averages. Another approach involves processing and validating trading strategies received from users, transforming them into logical code blocks, and executing trade orders based on external data. Additionally, quantile regression can be used to estimate the conditional distribution functions of stock market returns, which can then be used to generate buying and selling signals. Trading strategies can also be analyzed in terms of correlations between institutions' trading patterns, which can reveal community structures and preferential lending relationships.
What are the best technical indicators for forex trading?5 answersTechnical analysis involves using mathematical calculations based on an asset's price or volume to predict future prices and market trends. Traders often use a combination of indicators to detect market reversals or confirm trends. The choice of indicators depends on the trader's comfort level and trading style. There is no specific indicator that offers better results than others. Traders personalize their experience by selecting the tools that fit their needs. Some popular technical analysis tools used in the crypto space include chart patterns, moving averages, and artificial intelligence methods for time series analysis. Technical indicators are categorized into lagging and leading indicators, such as simple moving averages and moving average crossovers. Technical analysis methods can be applied to all types of exchange markets, including forex, stock, commodity, and derivative markets.
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Which Forex Robot is the most profitable?5 answers

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