SOFTTRADEAI is an Artificial Intelligence Asset Management Company that uses the advance AI software tools to trade in Forex market to generate income for our investors.
We are using deep learning techniques to train large neural networks to recognise patterns in data. Unstructured data learning from social media posts and news articles can provide unparalleled insight for developing trading strategies and profitable returns on investment.
Our Software can use large amounts of historic information when analyzing trading data in real-time, providing us with better insights into the market and helping us shape our trading strategy according to the current market’s volatility.
Our Investment Managers, with the help Of our AI software, analyze the forex and other investment markets, and based upon those analyses, we Generate profitable and adaptive trading portfolios/strategies.
Our capabilities and benefits:
The largest base of offers for investment projects, as well as a unique base of investors for Ukraine, Russia, EU countries, USA, Asia (more than 1500 contacts).
High-performance and technological tools in the field of investor relations.
Professionalism and experience of business brokers and investment analysts in the assets selection.
A wide network of trusted business partners and experts from various fields.
ARTIFICIAL INTELLIGENCE:
AI is necessary for profitable trading because data is growing exponentially, and there is no way for a human mind to process the enormous amount of data and understand the Rapidly Changing Market Dynamics.
Artificial intelligence is divided into four areas:
01 Reactive Machines
These are the oldest forms of AI systems that have extremely limited capability.They emulate the human mind’s ability to respond to different kinds of stimuli.
02 Limited Memory
In addition to having the capabilities of purely reactive machines, are also capable of learning from historical data to make decisions.
03 Theory of Mind
A theory of mind level AI will be able to better understand the entities it is interacting with by discerning their needs, emotions, beliefs, and thought processes.
04 Self-aware
Self-aware AI, which, self explanatorily, is an AI that has evolved to be so akin to the human brain that it has developed self-awareness.
Algorithmic trading And Artificial Intelligence
Within the financial services industry, AI applications include algorithmic trading, portfolio composition and optimisation, model validation, back testing, robo-advising, virtual customer assistants, market impact analysis, regulatory compliance and stress testing. In this section, I discuss three specific areas in which AI is currently changing the financial services industry, namely fraud detection and compliance; banking chatbots and robo-advisory services; and algorithmic trading.
Dominant Force In Global Financial Markets:
Algorithmic trading (AT) has become a dominant force in global financial markets. Also called “Automated Trading Systems,”.
Algorithmic trading now involves the use of complex AI systems to make extremely fast trading decisions. Computers generate 50-70% of equity market trades, 60% of futures trades and 50% of Treasuries (Brummer and Yadav, 2017). Aldridge and Krawciw (2017) estimate the share of market AT to be closer to 40%.
The benefits of AT include the ability of trades to be executed at the best possible prices, increased accuracy and a reduced likelihood of mistakes,the ability to automatically and simultaneously check multiple market conditions and human errors caused by psychological or emotional conditions are likely to be reduced.
Algorithmic trading’s target clientele is hedge funds, proprietary trading houses, bank proprietary trading desks, corporates, and the next generation market makers. AT includes making certain trading decisions, submitting orders, and managing those orders after submission.
IMPACTS OF AI ON MICROECONOMIC:
Artificial intelligence can automate “programmable work”. Once the cost of this automation is much lower than the labor cost, industry will not hesitate to use artificial intelligence to replace this part of the labour force.
Since AI has significant impact on factor returns, and changes the relative returns between different elements, so that the dynamic advantages of countries change.
Between 2012 and 2016 the US invested $18.2 billion into AI compared with $2.6 billion in China and $850 million in UK.
Perspectives of the artificial intelligence sphere
According to Accenture’s Technology Vision 2017, AI has the potential to double annual economic growth rates by 2035. To avoid missing out on this opportunity, policy makers and business leaders must prepare for, and work toward, a future with artificial intelligence. They must do so not with the idea that AI is simply another productivity enhancer. Rather, they must see AI as the tool that can transform our thinking about how growth is created.
We Should Prepare the next generation for the AI future?
Solutions using AI have become popular due to the increasing development of technology. Now, it is cheaper and easier to introduce artificial intelligence in different areas. Artificial intelligence is developing more dynamically, because:
Predicting outcomes Another advantage of AI is that it is able to predict outcomes based on data analysis. For example, it sees patterns in customer data that can show whether the products currently on sale are likely to sell and in what volumes. It will also predict when the demand will tail off.;
Operational automationAI is able to accomplish complicated assignments much faster than human beings can do, saving a lot of time and speeding up processes that otherwise would take very long. In a way, Artificial Intelligence brings the future closer to us.;
No Emotional Barriers AI algorithms do not present emotional barriers, that sometimes can obstruct the success of humans’ plans. Machines get to stick to the scheme and keep working towards the defined goal in the way they have been programmed to do, without being affected by external factors. This, sometimes cannot be said for human beings as, often, unexpected events can affect our mood, feelings and, eventually, our way of working.
Artificial Intelligence can work without breaks, unlike human beings can do. For this reasons, it can be used to substitute us for processes that it’s better not to stop, or can simply do the job in a more continuous way that humans would do.
