The magnetic loop antenna is a familiar sight in radio amateur circles as a means to pack a high performance HF antenna into a small space. It takes the form of a large single-turn coil made into a tuned circuit with a variable capacitor, and it provides the benefits of good directionality and narrow bandwidth at the cost of some scary RF voltages and the need for constant retuning. As [VK3YE] shows us though, magnetic loops are not limited to HF — he’s made a compact VHF magnetic loop using a tin can.
It’s a pretty simple design; a section from the can it cut out and made into a C shape, with a small variable capacitor at the gap. The feed comes in at the bottom, with the feed point about 20 % of the way round the loop for matching. The bandwidth is about 100 MHz starting from the bottom of the FM broadcast band, and he shows us it receiving broadcast, Airband, and 2 meter signals. It can be used for transmitting too and we see it on 2 meter WSPR, but we would have to wonder whether the voltages induced by higher power levels might be a little much for that small capacitor.
He’s at pains to point out that there are many better VHF antennas as this one has no gain to speak of, but we can see a place for it. It’s tiny, if you’re prepared to fiddle with the tuning its high Q gets rid of interference, and its strong side null means it can also reduce unwanted signals on the same frequency. We rather like it, and we hope you will too after watching the video below.
High-frequency trading (HFT) is one of the most profitable types of algorithmic trading. The reason of its success is execution of numerous orders in milliseconds by the trader. The trader analyzes multiple markets simultaneously and makes correct predictions regarding trend reversals. It may sound like science fiction, since such a task is beyond the power of a human trader. However, with the help of AI crypto trading, you can implement this practice.
Necessary Conditions for High-Frequency Crypto Trading
The success of HFT is based on advanced technologies that are characterized by high data processing speed. The algorithms of this trading style are very complex, and therefore, ordinary trading bots are not suitable for this task. So, when creating bots for high-frequency crypto trading, developers should focus specifically on HFT algorithms.
The development of AI has become a real gift for fans of high-frequency trading. AI made a breakthrough in this direction, making HFT available both to large corporations and individual traders.
Why AI Made HFT Accessible to Everyone
Investment funds, hedge funds, and other major players in the crypto market have been practicing high-frequency crypto trading for a long time. Only they could afford to acquire such sophisticated technology to analyze the markets. However, AI has leveled the playing field and allowed individual crypto traders to compete in HFT, too.
How AI Improves High-Frequency Trading
AI-based bots have a number of advantages that allow them to improve high-frequency trading:
The ability of artificial intelligence to self-learn makes it a constantly self-improving tool.
High speed of AI bot reaction to price changes leaves no room for erroneous orders.
The forecasts of AI crypto bots are highly accurate.
AI bots do not give in to emotions but place orders when they have sufficient signals that the price of Bitcoin or other crypto will change. They always wait for a clear signal before starting to act.
AI bots react to market fluctuations in real time. They do not need time to rest, sleep, have lunch, etc. Therefore, traders can use these assistants while devoting their precious time to other important affairs.
AI bots allow traders to make significant profits from trading cryptocurrencies even for traders who do not have special training in the field of finance.
Precise mathematical models of AI bots significantly reduce the risks involved in high-frequency trading. Since such operations are carried out on a large number of crypto assets, risk reduction is a critical condition for successful and confident trading.
Conclusion
The ease of using AI-powered bots and the minimal time required for their setup attract more and more people to trading. This means that those who use them will have a competitive advantage compared to those ignoring the technology. Artificial intelligence shows real miracles in high-frequency trading, but it is still in the development stage. This means that even more complete disclosure of the AI bots’ potential is waiting for traders ahead. Become among the first traders to benefit from using this technology for high-frequency crypto trading.
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