Albany, NY -- (SBWIRE) -- 01/02/2019 -- Algorithmic trading has opened an exciting, new paradigm in financial markets, engendered by enormous potential of automation in trading of stocks and commodities. Such automation has been successful in reducing errors in human intervention with the use of programmed instructions. The benefits are large: unparalleled accuracy and speed with which trade orders or commands can be placed and decisions can be made. Some of the other key propositions in this regard are the benefits of reduced cost of transaction and a better management of market risks in real-time. What is more interesting is perhaps that clients placing trading orders might set their own parameters influencing their trading decisions.

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Retail Investors will open to Vast Potential of Algorithmic Trading

Brokerage firms, large trading firms, and institutional investors have recently realized the potential of the algorithmic trading market to churn out tens of thousands of revenue every year across the world. In particular, it has started to gain rapid steam in high frequency trading, thereby increasing the possibility of making profits by the stakeholders. With rising trade volumes across the world, the use of algorithmic trading is likely to make the trading system increasingly self-reliant. This will contribute to making global trades more resilient over the coming years.

Witnessing the potential to rise at rapid pace, the global algorithmic trading market is projected to reach a worth of US$ 21,807.6 Million by 2026 end, according to a recent study by Transparency Market Research.

The global demand for algorithmic trading will gather massive momentum from constant regulatory thrust on increasing accountability and transparency in the financial markets, especially by the governments in developed regions. However, the regulatory environment across the world will take time to mature to frame legislations to address malpractices in this type of automated trading.

Integrating Artificial Intelligence and Machine Learning to open New Approaches in Algorithmic Trading

Artificial intelligence (AI) continues to make big inroads in the financial services industries. The trend is particularly evident in the rising interest of institutional asset managers on non-equity trading algorithms. The merging of AI and machine learning with algorithmic trading strategies helps traders unleash the power of these tools to study pertinent patterns in vast pools of trading data. Together with big data, internet of things (IoT), cloud computing, and quantum computing, algorithmic trading platforms can self-learn to predict the future market conditions and match accordingly. This may lead to a robust system that can manage the market volatility and crashes like never seen before.

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Cloud-based Algorithmic Trading Platforms might See Rapid Adoption

Among the various components of algorithmic trading, cloud based software solutions have risen to eminence in recent years. Cloud-based algorithmic trading platforms are gaining traction especially across capital markets who are witnessing their benefits such as increased flexibility and scalability. In addition, these solutions are cost-effective as they eliminate the need for setting costly high-end infrastructures for automated algorithmic.

In the coming years, the system will witness increased participation of retail investors in algorithmic market. To this end, third-party brokerage firms have made offshore investing more rewarding for them. A brokerage firm 4xCube has recently announced that is offering an international platform to retail investors in the Cook Islands to leverage the potential of algorithmic trading for gaining benefits of higher low latency, while complying with various international trade guidelines. The company which offers execution-only service helps retail investors trade Forex, indices, commodities, and cryptocurrencies.