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AlmaIndicator-0.0.4

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0.0.4
0.0.3
0.0.2
0.0.1
0.0.4
0.0.3
0.0.2
0.0.1

توضیحات

A small library for computing ALMA indicator for stocks
ویژگی مقدار
سیستم عامل -
نام فایل AlmaIndicator-0.0.4
نام AlmaIndicator
نسخه کتابخانه 0.0.4
نگهدارنده []
ایمیل نگهدارنده []
نویسنده Mark Lester A. Bolotaolo
ایمیل نویسنده -
آدرس صفحه اصلی https://github.com/mlab817/ta-alma
آدرس اینترنتی https://pypi.org/project/AlmaIndicator/
مجوز -
# Arnaud Legoux Moving Average (ALMA) in Python This is a small Technical Analysis library for the calculation of Arnaud Legoux Moving Average (ALMA). It is built in Pandas and Numpy and uses [TA](https://github.com/bukosabino/ta). ## Description The Arnaud Legoux Moving Average (ALMA) indicator is a superior moving average as compared to the Exponential Moving and Simple Moving Averages. Arnaud Legoux and Dimitrios Kouzis Loukas developed the indicator in the year 2009. The objective of ALMA is to minimize the noise and produce a more reliable signal than the conventional moving averages. The indicator (ALMA) removes small price fluctuations and also enhances the trend by applying a moving average (MA) twice, once from left to right, and once from right to left. ## Key Points on ALMA Indicator - ALMA indicator works on the principle of the Moving Average (MA), but the calculation formula is more perfect. - The main difference in regards to conventional moving averages is its minimal lag. - The classic EMA, SMA, SMMA and other Moving Average lines have a significant minus – signal lag. - The MA ALMA in this regard is more perfect. In a volatile market, this tool shows very good trading results, even without the use of auxiliary filters. The Arnaud Legoux moving average attempts to bridge the gap and thus is expected to show both responsiveness and smoothness at the same time. Generally, the Arnaud Legoux Moving Average indicator applies the moving average twice, once from left to right and the other from right from left with the process said to eliminate price lag or phase shift significantly, a problem that is common to the traditional moving averages. Source: Read more on [Stock Maniacs](https://www.stockmaniacs.net/arnaud-legoux-moving-average-indicator/) ## How to Use ```python # import the package from AlmaIndicator import ALMAIndicator # define a Pandas dataframe which should contain closing price of the stocks df = ... # initialize the indicator # you only need to provide a Pandas series of the closing price of the stock alma_indicator = ALMAIndicator(close=df['close']) # add alma to dataframe by calling the alma function df['alma'] = alma_indicator.alma() ``` ## Sample Result ![spy - data](https://user-images.githubusercontent.com/29625844/92999031-54f8c600-f550-11ea-974c-ae96fdb8e623.png) Note that there will be `NaN` values at the beginning of the ALMA series since there is a window of analysis which is set to 9. In other words, your dataset must at least contain 9 entries. ## Sample Figure ![spy - alma](https://user-images.githubusercontent.com/29625844/92998867-1d3d4e80-f54f-11ea-919c-dd48c8927172.png)


نیازمندی

مقدار نام
- numpy
- pandas
- python-dateutil
- pytz
- six
- ta


زبان مورد نیاز

مقدار نام
>=3.6 Python


نحوه نصب


نصب پکیج whl AlmaIndicator-0.0.4:

    pip install AlmaIndicator-0.0.4.whl


نصب پکیج tar.gz AlmaIndicator-0.0.4:

    pip install AlmaIndicator-0.0.4.tar.gz