可视化利能力:使用VMA交易规则评估比特币期货交易的热图方法
Min-Yuh Day1, Yensen Ni2, Chinning Hsu2
1Graduate Institute of Information Management, National Taipei University, Taipei, Taiwan.
Heliyon
|October 27, 2023
概括
本研究探讨了可变长度移动平均线 (VMA) 对比特币期货的交易策略. 调查结果表明,VMA为加密货币投资者提供灵活,潜在的利交易规则.
科学领域:
- 量化金融 量化金融
- 计算经济学的计算经济学
- 金融技术 金融技术
背景情况:
- 技术交易策略越来越多地应用于加密货币市场.
- 可变长度移动平均 (VMA) 是一个灵活的技术指标,具有尚未开发的潜力.
- 现有的研究还没有充分研究VMA在加密交易中的好处.
研究的目的:
- 为了评估可变长度移动平均线 (VMA) 交易规则在加密货币市场中的有效性.
- 探索VMA灵活性对投资者的尚未开发的好处.
- 为选择最佳VMA参数提供数据驱动的方法.
主要方法:
- 将VMA交易规则应用于比特币期货数据.
- 使用热图图表可视化不同VMA参数的性能.
- 对VMA业绩与标准交易方法进行比较分析.
主要成果:
- 通过热图分析确定最有效的VMA交易规则.
- 展示VMA在比特币期货交易中产生利的潜力.
- 在各种市场条件下量化VMA的业绩.
结论:
- VMA策略为比特币期货交易提供了一种灵活和潜在的利方法.
- 热图可视化有助于投资者选择最佳的VMA参数.
- 这项研究为加密货币领域的投资策略开辟了新的途径.
相关概念视频
Expected Value
4.0K
The expected value is known as the "long-term" average or mean. This means that over the long term of experimenting over and over, you would expect this average. The expected average is represented by the symbol μ. It is calculated as follows:
4.0K
Multiple Comparison Tests
3.9K
Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
3.9K
Sieve Analysis and Grading Curves
384
Sieve analysis is a method used to determine the particle size distribution of aggregate materials. This process involves the following steps:
384
Quantitative Analysis
311
Quantitative analysis is a technique for measuring the amount of specific constituents in a sample. When the sample's composition is unknown, qualitative analysis is performed first to identify its components, which ensures that the correct substances are measured during the quantitative phase.
In quantitative analysis, two key measurements are made: the sample quantity and a property proportional to the amount of the analyte (the substance being analyzed). This forms the basis of the...
In quantitative analysis, two key measurements are made: the sample quantity and a property proportional to the amount of the analyte (the substance being analyzed). This forms the basis of the...
311
Range Rule of Thumb to Interpret Standard Deviation
9.0K
The range rule of thumb in statistics helps us calculate a dataset's minimum and maximum values with known standard deviation. This rule is based on the concept that 95% of all values in a dataset lie within two standard deviations from the mean.
For instance, the range rule of thumb can be used to find the tallest and the shortest student in a class, given the mean student height and standard deviation. If the mean student height is 1.6 m and the standard deviation, s is 0.05 m, the height...
For instance, the range rule of thumb can be used to find the tallest and the shortest student in a class, given the mean student height and standard deviation. If the mean student height is 1.6 m and the standard deviation, s is 0.05 m, the height...
9.0K
Econometric Views (EViews)
146
Econometric Views, often stylized as EViews, is a package that merges statistical analysis with econometric studies. It is designed to provide tools for time series analysis, forecasting, and econometric model simulation. The software originated from MicroTSP software and has evolved significantly since its inception in 1981. The history of EViews is marked by a continuous effort to enhance its computational speed and user interface. It was initially developed for large computing systems but...
146


