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The hotel has 4 floors. The higher the floor, the more people live on it. On which floor does the elevator most often stop?В отеле 4 этажа. Чем выше этаж, тем больше людей на нём живут. На каком этаже чаще всего останавливается лифт?
Если не затруднит, оффтоп:
The hotel has 4 floors. The higher the floor, the more people live on it. On which floor does the elevator most often stop?В отеле 4 этажа. Чем выше этаж, тем больше людей на нём живут. На каком этаже чаще всего останавливается лифт?
Если число людей, живущих на разных этажах, отличается значительно, то чаще всего лифт останавливается на этаже с самым большим числом жителей. Этот этаж будет называться "этажом с наибольшей частотой остановки лифта". Однако, если число людей, живущих на разных этажах, незначительно, то лифт может останавливаться на разных этажах с равной частотой. В этом случае этаж с наибольшей частотой остановки лифта не определен.
интеллекта там конечно нет, поэтому это не ИИ :) это языковая модель, которая генерит похожий на человеческий текст, но часто бессмысленныйЕсли число людей, живущих на разных этажах, отличается значительно, то чаще всего лифт останавливается на этаже с самым большим числом жителей. Этот этаж будет называться "этажом с наибольшей частотой остановки лифта". Однако, если число людей, живущих на разных этажах, незначительно, то лифт может останавливаться на разных этажах с равной частотой. В этом случае этаж с наибольшей частотой остановки лифта не определен.
интеллекта там конечно нет, поэтому это не ИИ :) это языковая модель, которая генерит похожий на человеческий текст, но часто бессмысленныйАхах))) Он старался)
Lilita,
1. Волновая теория Эллиота применима к рынку форекс или к любому другому рынку? Является ли Волновая теория Эллиота фейковой теорий, не имеющей ничего общего с ценообразованием?
2. Есть ли логика в ценоообразовании? Что лучше подходит к прогнозированию цен: простые алгоритмы или нейросети?
Форум по трейдингу, автоматическим торговым системам и тестированию торговых стратегий
Разговор с искусственным интеллектом (ИИ) о форексе.
Maxim Dmitrievsky, 2022.12.29 20:05
1.
Elliot Wave Theory is a technical analysis method that attempts to forecast the direction of prices through the identification and interpretation of price patterns. It is based on the idea that prices move in predictable patterns, or waves, that can be identified and analyzed.
The theory was developed by Ralph Elliott in the 1930s and is based on the idea that market trends, as represented by price movements, are not random but rather reflect the collective psychology of market participants. According to the theory, market movements can be predicted by identifying and interpreting the waves, or patterns, that form in the price data.
Elliot Wave Theory is often used by traders and investors to help identify potential trading opportunities and to make investment decisions. While the theory has its supporters, it is also controversial and has been criticized by some for its subjective nature and lack of a clear and objective set of rules for analysis.
As for whether the theory can be applied to the forex market or any other market, it is generally thought that Elliot Wave Theory can be applied to any market where prices are determined by the interaction of supply and demand. This includes not just the forex market, but also stock markets, commodity markets, and other financial markets. However, it is important to note that the effectiveness of the theory in any given market may vary, and it should be used as just one of many tools in an overall trading or investment strategy.
2.
Pricing is determined by the interaction of supply and demand in a market. When the demand for a good or service is high and the supply is low, the price will tend to be higher. Conversely, when the demand is low and the supply is high, the price will tend to be lower. This basic principle of economics is based on the idea that the price of a good or service reflects the value that buyers place on it and the costs that sellers incur in producing it.
As for which is better for price forecasting - simple algorithms or neural networks - it really depends on the specific circumstances and the goals of the forecasting. Both simple algorithms and neural networks can be effective tools for forecasting prices, but they have different strengths and limitations.
Simple algorithms, such as linear regression or moving averages, can be easy to understand and implement, and they may be sufficient for certain forecasting tasks. However, they may not be able to capture complex relationships or patterns in the data, which can limit their accuracy.
Neural networks, on the other hand, are more powerful and flexible tools that can learn and adapt to complex patterns in the data. They are often used for tasks that require a high degree of accuracy, such as image or speech recognition. However, they can be more complex to implement and may require more data and computational resources to train and run.
Ultimately, the choice between simple algorithms and neural networks will depend on the specific forecasting task at hand and the resources and expertise available. It may be necessary to experiment with different approaches and evaluate their performance in order to determine the most effective approach for a given situation.
PROFESSIONAL ADVISOR
Is there any logic in pricing? What is better for price forecasting: simple algorithms or neural networks?
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Pricing can be influenced by a variety of factors, including supply and demand, competition, and the cost of producing and distributing a product or service. In general, the goal of pricing is to set a price that maximizes a company's profits, while also taking into account the prices of competitors and the willingness of customers to pay.
As for forecasting prices, the best approach will depend on the specific circumstances and data available. Simple algorithms, such as linear regression or exponential smoothing, can be effective for forecasting prices in some cases, particularly when the data is relatively stable and there are not too many variables to consider. However, neural networks can also be used for price forecasting, and they may be more effective in cases where there are complex patterns or nonlinear relationships in the data. Ultimately, the choice between simple algorithms and neural networks will depend on the nature of the data and the specific forecasting problem. It may be helpful to try both approaches and compare the results to determine the most effective approach for a given situation.
Ответы разные, хотя основа везде одна.
Если не затруднит, оффтоп:
The hotel has 4 floors. The higher the floor, the more people live on it. On which floor does the elevator most often stop?В отеле 4 этажа. Чем выше этаж, тем больше людей на нём живут. На каком этаже чаще всего останавливается лифт?
Форум по трейдингу, автоматическим торговым системам и тестированию торговых стратегий
Разговор с искусственным интеллектом (ИИ) о форексе.
Maxim Dmitrievsky, 2022.12.29 20:39
Если число людей, живущих на разных этажах, отличается значительно, то чаще всего лифт останавливается на этаже с самым большим числом жителей. Этот этаж будет называться "этажом с наибольшей частотой остановки лифта". Однако, если число людей, живущих на разных этажах, незначительно, то лифт может останавливаться на разных этажах с равной частотой. В этом случае этаж с наибольшей частотой остановки лифта не определен.
интеллекта там конечно нет, поэтому это не ИИ :) это языковая модель, которая генерит похожий на человеческий текст, но часто бессмысленныйPROFESSIONAL ADVISOR
The hotel has 4 floors. The higher the floor, the more people live on it. On which floor does the elevator most often stop?
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It is likely that the elevator most often stops on the floor with the most people living on it, since more people means more demand for elevator usage. If the number of people living on each floor is distributed evenly, then the elevator would most often stop on the middle floors. However, if the distribution is not even, then the elevator would most likely stop on the floor with the highest number of residents.
Немного слова отличаются, видимо влияет предыдущий контекст. Либо с какой-то вероятностью генерит на выбор.
Я беру новый разговор на каждый вопрос, который не связан с предыдущим.
Каковы признаки: «Рынок форекс постоянно меняется, и важно быть в курсе последних событий и тенденций рынка»?
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Каковы признаки: «Изменения рыночных настроений»?
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Как связаны «Изменения объема торгов» и «Ценовые движения» и на какие признаки следует обратить особое внимание?
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PROFESSIONAL ADVISOR
The hotel has 4 floors. The higher the floor, the more people live on it. On which floor does the elevator most often stop?
-
It is likely that the elevator most often stops on the floor with the most people living on it, since more people means more demand for elevator usage. If the number of people living on each floor is distributed evenly, then the elevator would most often stop on the middle floors. However, if the distribution is not even, then the elevator would most likely stop on the floor with the highest number of residents.
Удивительно, как обученная сеть допускает логическую ошибку в выводе, но при этом пытается рассуждать логически. Такой яркий пример человеческого обучения (невнимательности). Прикольно
Если вам не нравится ответ, вы всегда можете спросить еще раз ( Regenerate response ), вот некоторые из приведенных ответов.
It is likely that the elevator in a hotel will most often stop on the floor with the highest number of guest rooms, which is usually the floor with the most people living on it. In a hotel with four floors, this would likely be the fourth floor. However, it is also possible that the elevator may stop more frequently on the ground floor, as this is typically where the lobby, reception area, and other public spaces are located and may be more heavily trafficked.
It is likely that the elevator will stop most often on the floor where the most people live. If the hotel has an equal number of rooms on each floor, and the distribution of residents across the floors is even, then the elevator will stop most often on the floor in the middle of the range of floors. For example, in a four-floor hotel with an equal number of rooms on each floor, the elevator would stop most often on the second or third floor. If the distribution of residents is not even, then the elevator will stop most often on the floor where the most people live.
It is likely that the elevator will most often stop on the floor where the greatest number of people live. If there are more people living on the higher floors, then the elevator will likely stop on those floors more frequently. However, without more information about the specific layout and occupancy of the hotel, it is not possible to accurately determine which floor the elevator will most often stop on.
It is difficult to accurately determine which floor the elevator would most often stop without more information. There are a few factors that could affect the frequency with which the elevator stops on each floor. Some of these factors include the layout of the hotel and the number of rooms on each floor, the distribution of guests among the floors, and the location of amenities such as the lobby, restaurant, and pool.
If the hotel has a relatively even distribution of guests among the floors, it is likely that the elevator would stop at each floor with similar frequency. However, if there are more guests on certain floors, the elevator may stop more frequently on those floors. Additionally, if the amenities are located on certain floors, the elevator may stop more frequently on those floors as well.
Without further information, it is difficult to accurately predict which floor the elevator would most often stop on.