Artificial Intelligence
In its broadest sense, artificial intelligence is the self-learning creation algorithms that allow a computer to perform creative functions. In practice, AI is designed to routine operations to relieve human sand supplement the human brain capabilities in areas where machines are more efficient at what they do.
Let's move away from scientific formulations and futurism and get to the point. How does AI technology help us generate surplus value?
About Artificial Intelligence
In the trading strategies development, artificial intelligence is becoming unconditionally dominant. He who uses the latest developments has advantages in the markets, and it is especially relevant for such a volatile asset as cryptocurrencies.
Unlike a rigidly prescribed bot algorithm, AI is a self-learning system analysing events capable, predicting trends, collecting and processing data huge amount sand making decisions. AI has no greed or fear, it just can't make irrational, emotion-driven decisions. The Apex One team has developed the most advanced software for efficient, effortless farming—the AI will do everything for you.
What do we do?
APEX ONE AI is intellectuals, a team who have taught AI to generate revenue.
Farming
In order to use Farming as a source of passive income, all you need to do is select a cryptocurrency pair and an exchange from the provided list. Smart Farming neural network choose when to enter and exit trades. Machine learning based on historical data allows us to make decisions that maximise returns for our investors at each time point. No trader can match the ability of artificial intelligence to predict profitable trades.
The added value
Our developments in AI and quantum computing, allow us to predict and react to events faster than anyone else, while monitoring dozens of cryptocurrency exchanges. From the profits from transactions on a pair of cryptocurrencies, revenue is generated at a specific point in time and then distributed to users. This approach allows surplus value to be generated by «scalping», i.e. trading over the shortest possible time periods. This, in turn, allows Smart Farming technology to show enviable efficiency regardless of the current market trend.
Effective protection
Big Data capabilities are magnitude orders greater than the human brain computing capabilities, and in symbiosis with the analytical capabilities of AI, allow us not only to work effectively on your behalf, but also provide information security to important aspects, and help analysts by structuring data in a huge volume and highlighting important events that may not be noticed in time by humans.
Cybersecurity
Learning from historical events, allows AI to predict potential threats and vulnerabilities to the platform, personal data integrity, transactions, etc. Based on these signals, our cybersecurity team makes operational decisions to protect our ecosystem from attackers.
Risk-Management
Equally important are signals about suspicious events on exchanges, significant information from the media, changes in market trends, especially in the IT industry niche, which traditionally affects cryptocurrency rates. Thanks to instant comparison with previous experience, AI gives a forecast, or a trend warns, providing great support to risk managers.
Remaining questions?
Still have any questions? Want to know more about the ways neural networks and quantum calculations help people get richer every day?
Knowledges
Obvious fact
In the modern world traditional investment strategies, such as investing in real estate, precious metals and other assets, with the stable price growth expectation have already lost their appeal. Sharp price fluctuations (volatility) are inherent in almost all market assets, and only trading mechanisms allow earning effectively in time in a short period.
Limited human capacity
The human brain allows us to think in abstract images, which provides the broadest creative intellectual perspectives. However, our brain computational capabilities, as well as the ability to accumulate data in large amounts, are seriously inferior to those computers.
Combined Factors
Markets are not just numbers and charts. Real events, publications in media, corporations and influential people actions or inaction, other factors analysts and hundreds forecasts determine the investors behavior and changes of market quotations. All this translates into information terabyte sand multidirectional trends.
Capabilities optimal combination
AI is recognizing human speech capable, self-learning and generating solutions (recommendations). In combination with big data technologies, it is now possible to process huge data amounts affecting the market situation, including blockchains.
Progress generates profits
Trained machines can process countless amounts of data in minutes. In the same way, they can find and process historical data and repetitive patterns for smart trading that are often hidden, inaccessible or not obvious to humans.
The traders advantages using artificial intelligence software have become evident in recent years, and they consistently perform above the market average, leaving far behind their colleagues who use outdated bots that require constant manual upgrades.
Farming and AI
Farming implies operations with cryptocurrency pairs on several trading floors simultaneously. Using state-of-the-art AI and quantum computing solutions allows us to react to trends faster than the market rest.
Human and AI
Trading, any kind, is about making decisions about asset transactions for profit.
For decades, humans have been accumulating and analysing data about the markets behaviour and reactions.
There is nothing unusual that computers began to be used to store and process this information, then relatively simple trading bots appeared, but much greater opportunities are given by the machine learning technologies in use.
Data Collection
To adjust its strategies, AI uses historical knowledge, comparing its impact on current and future events.
Usually the incoming data looks like a chaotic structure, but our deep learning tools allow us to provide efficient sampling from multiple sources for the right parameters.
Data organisation
Next, the data set collected from different sources is structured, organised into sets — the training set (tuning and training the algorithm) and the test set that drives the calibrated algorithm.
Self-learning
By adding new data and fine-tuning existing data, the system performances improved unlike bots, the algorithm of AI allows it to improve continuously using automatic trading advisors.
Building a trading algorithm
Algorithms for the AI technology application in trading are designed to work with traditional assets. The APEX ONE AI team was able to «friend» blockchain algorithms and artificial intelligence.
As a result, the knowledge, and professional experience allowed them to form algorithms for effective farming based on signals thousands hundreds of from exchanges dozens.