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Exploring Algorithmic Trading

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In the 21st century, algorithmic trading has gained popularity among both individual and institutional traders. It is estimated that algorithmic trading is extending at a CAGR of 10.5% between 2022 and 2027 since it is used extensively by investment banks, pension funds, mutual funds, and fund managers that may need to stretch out the execution of a bigger order or execute deals too quickly for human traders to respond.

 

With or without human interaction, automated trading employs computers to produce trade signals, place orders, and manage portfolios using algorithms. Algorithms employ sophisticated electronic markets/platforms to trade in a manner comparable to electronic trading.

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Automated trading allows you to:

By default, a blockchain investor seeking to join or leave a position must log in to an exchange and execute their order manually. This sort of order execution generates several unwarranted risks, such as human mistakes, exchange credit risk, and inadequate liquidity.

 

In contrast, ‘algorithmic trading’ establishes a set of trade rules to automatically adhere to. Computer algorithms are employed to execute the transaction, eliminating the need for human operations, permitting simultaneous sourcing from many pools, and promoting major efficiency benefits, saving both time and money.

 

Algorithms are implemented to automate trading and make profits at a frequency that is difficult for a human trader to achieve. As a result, algorithmic trading eliminates the influence that humans (and their emotions) have on trading operations. This is possible because investors often make use of complex algorithms.

Execute transactions automatically, day or night, according to your trading plan.

Reduce the influence of emotional and instinctive responses via strategic planning

Using a vast array of indicators, identify new possibilities and analyse trends.

Execute numerous real-time transactions concurrently and eliminate manual execution

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Team

Lennart

CEO

Lennart

CEO

For 10 years, my company has loved to be a first mover in web development technologies, and now we have the opportunity to participate in the next digital disruption. As an entrepreneur, developer and project manager for over 15 years, experienced with Start-Up funding and development, I am going to guide the Aiamond team to create one of the leading AI DeFi Start-Ups.

Kai

CTO

Kai

CTO

With over 15 years of experience, I am specialized in leading development-teams to build highly available, scalable web-architectures. With that background, I will take care of recruiting the best fitting experts for our needs to ensure top-notch quality for our product.

Kevin

Scientific Advisor

Kevin

Scientific Advisor

My passion for artificial intelligence in connection with blockchain-based applications fascinates me. In the last two years I have been particularly concerned with reinforcement learning - a sub-area of artificial intelligence. I would like to bring my experience in data analysis and modeling to Aiamond to take trading to the next level with AI.

Laurin

Community Manager

Laurin

Community Manager

In order to commercialize new technologies like blockchain, new ideas are needed and paths must be found, that no one has taken before. Being unbiased enough to find these ways and having the knowledge to realize the ideas from both, team and community, I will pave the way to Aiamond for the people.

Luca

Crypto Advisor

Luca

Crypto Advisor

As a DeFi & web3 advisor, I contribute my knowledge of web3, ICOs, blockchain technology, and project management. Since 2017, I have been investing and engaging in this space, and since 2021, I have been helping web3 projects successfully navigate through their startup phase. Aiamond fascinates me because it combines two of the fastest growing and most exciting sectors: DeFi and artificial intelligence.

Lennart

CEO

Lennart

CEO

For 10 years, my company has loved to be a first mover in web development technologies, and now we have the opportunity to participate in the next digital disruption. As an entrepreneur, developer and project manager for over 15 years, experienced with Start-Up funding and development, I am going to guide the Aiamond team to create one of the leading AI DeFi Start-Ups.

Kai

CTO

Kai

CTO

With over 15 years of experience, I am specialized in leading development-teams to build highly available, scalable web-architectures. With that background, I will take care of recruiting the best fitting experts for our needs to ensure top-notch quality for our product.

Kevin

Scientific Advisor

Kevin

Scientific Advisor

My passion for artificial intelligence in connection with blockchain-based applications fascinates me. In the last two years I have been particularly concerned with reinforcement learning - a sub-area of artificial intelligence. I would like to bring my experience in data analysis and modeling to Aiamond to take trading to the next level with AI.

Laurin

Community Manager

Laurin

Community Manager

In order to commercialize new technologies like blockchain, new ideas are needed and paths must be found, that no one has taken before. Being unbiased enough to find these ways and having the knowledge to realize the ideas from both, team and community, I will pave the way to Aiamond for the people.

Luca

Crypto Advisor

Luca

Crypto Advisor

As a DeFi advisor, I contribute my knowledge of web3, ICOs, blockchain technology, and project management. Since 2017, I have been investing and engaging in this space, and since 2021, I have been helping web3 projects successfully navigate through their startup phase. Aiamond fascinates me because it combines two of the fastest growing and most exciting sectors: DeFi and artificial intelligence.

More details to algo trading

Trading orders in automated systems are carried out by employing a variety of high-tech and data-based algorithms. This is the only foundation for automated trading. When investors have determined which automated trading system would best serve their needs, according to their investing perspectives, the next program is the automated trading system with specific entry, exit, and investment rules. The criteria may be determined depending on various market situations, including stop-loss, specified price, moving average crossing, 52-week high or low, and so on. On the other hand, some professional automated traders are the ones who determine the rules, and they do so by using convoluted techniques that may extend to external variables or their investments in other asset classes.

 

Once the rules have been established, the traders will hand the remainder of the work to the automated trading system. As soon as the predetermined conditions are met in the market, the automated trading system starts carrying out market orders at an extremely rapid pace. In addition, trading with automated trading systems enables investors to remove the effect of human emotions, which may have a negative impact on the profit margin. Because the orders are made automatically based on the examination of the data and the guidelines that have been established in advance, the probability that the order will be fulfilled successfully has significantly increased.

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