stockstats | inline stock statistics/indicators support

 by   jealous Python Version: 0.6.2 License: Non-SPDX

kandi X-RAY | stockstats Summary

kandi X-RAY | stockstats Summary

stockstats is a Python library. stockstats has no bugs, it has no vulnerabilities, it has build file available and it has medium support. However stockstats has a Non-SPDX License. You can install using 'pip install stockstats' or download it from GitHub, PyPI.

Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.
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            kandi-support Support

              stockstats has a medium active ecosystem.
              It has 1139 star(s) with 278 fork(s). There are 56 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 12 open issues and 83 have been closed. On average issues are closed in 703 days. There are 3 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of stockstats is 0.6.2

            kandi-Quality Quality

              stockstats has 0 bugs and 0 code smells.

            kandi-Security Security

              stockstats has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              stockstats code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              stockstats has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              stockstats releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              stockstats saves you 490 person hours of effort in developing the same functionality from scratch.
              It has 1326 lines of code, 185 functions and 3 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed stockstats and discovered the below as its top functions. This is intended to give you an instant insight into stockstats implemented functionality, and help decide if they suit your requirements.
            • Compute the subspertrend
            • Shift a series by a window
            • Compute the tran
            • Compute the SMMA mean of a series
            • Calculate the kama ratio
            • Calculates the p column
            • Retype the value of a series
            • Sets the nan of the given shift
            • Wraps pandas dataframe
            • Calculate the chop
            • Calculate MFI
            • Calculate the matrix
            • Calculate the temperature matrix
            • Calculate the sigma
            • Calculate the Cr
            • Calculate CCI
            • Calculate the WR coefficient
            • Create a pandas Series
            • Calculate stochastic stochastic
            • Calculate ppo
            • Calculate the VMA for a given window
            • Calculate the wave trend
            • Compute the cumulative frequency of a column
            • Get the ATR
            • Calculate MACD
            • Calculate the roll
            Get all kandi verified functions for this library.

            stockstats Key Features

            No Key Features are available at this moment for stockstats.

            stockstats Examples and Code Snippets

            pandas/stockstats type error ('NoneType' object is not subscriptable)
            Pythondot img1Lines of Code : 5dot img1License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
                df['macdh']=stock['macdh']
                df['macds']=stock['macds']
                df['macd']=stock['macd']
                return df
            
            How can i see MACD signal by using stockstats?
            Pythondot img2Lines of Code : 55dot img2License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            class StockDataFrame(pd.DataFrame):
                OPERATORS = ['le', 'ge', 'lt', 'gt', 'eq', 'ne']
            
                # Start of options.
                KDJ_PARAM = (2.0 / 3.0, 1.0 / 3.0)
                KDJ_WINDOW = 9
            
                BOLL_PERIOD = 20
                BOLL_STD_TIMES = 2
            
                MACD_EMA_SHORT = 
            GCP could not find flask when it is present in lib folder
            Pythondot img3Lines of Code : 3dot img3License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            from google.appengine.ext import vendor
            vendor.add('lib')
            
            How to calculate a modified moving average for a Python pandas dataframe?
            Pythondot img4Lines of Code : 3dot img4License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            stock = StockDataFrame.retype(pd.read_csv('stock.csv'))
            stock['close_5_sma']
            
            Retry Single Iteration in For Loop (Python)
            Pythondot img5Lines of Code : 21dot img5License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            for i in Ticker:
              incomplete = True
              tries = 10
              while incomplete and tries > 0:
                try:
                  # Download Data
                  data = yf.download(i, Data_Start_Date, Data_End_Date)
                  incomplete = False
                except:
                  tries -= 1
              # Cre
            Python Finance: How to use macd indicator for signals strategy?
            Pythondot img6Lines of Code : 30dot img6License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            import pandas as pd
            from stockstats import StockDataFrame as Sdf
            
            data   = pd.read_csv('data.csv')
            
            stock  = Sdf.retype(data)
            
            signal = stock['macds']        # Your signal line
            macd   = stock['macd']         # The MACD that need to cross t

            Community Discussions

            QUESTION

            Python3 module not found error after installation with pip3
            Asked 2021-Jun-15 at 08:57

            I have been stuck on a module not found error of python3. I have a VM on Microsoft Azure, a Centos 7. Then I installed python3 and pip3, and some packages I needed. But there’s one package that I just couldn’t find after I installed it

            sudo pip3 install --user stockstats

            But whenever i wanted to run a python script using this package, there’s ModuleNotFoundError: No module named 'stockstats'

            What I tried:

            pip3 show stockstats

            As I really want to see where it was installed. It shows nothing. What it is supposed to do is like this:

            ...

            ANSWER

            Answered 2021-Jun-13 at 07:23

            for maybe some errors in installing pip.

            • reinstall python.

            • check that the module name is correctly typed

            • install stockstats in pip like "pip install stockstats" (getten from pypi.com)

            Thank You

            Security Coding.

            Source https://stackoverflow.com/questions/67955692

            QUESTION

            One Minute aggregate window giving unexpected result in Kafka 2.4.0
            Asked 2021-Mar-31 at 08:26

            I using the code from https://github.com/gwenshap/kafka-streams-stockstats with latest windowedBy()

            ...

            ANSWER

            Answered 2021-Mar-30 at 06:09

            Suppress() is the way forward. The article (https://www.confluent.io/blog/kafka-streams-take-on-watermarks-and-triggers/) explains how one can use. The only caveat in using suppress is that in the next subsequent window, one must receive a new event with the SAME key that you use in the groupBy().

            Also please have a look into the comment from the other stackoverflow from Matthias J.Sax: Kafka Stream Suppress session-windowed-aggregation

            Source https://stackoverflow.com/questions/66859091

            QUESTION

            how to append a data at a list and plot it with python plotly
            Asked 2020-May-18 at 21:35

            hi there i m still trying to get trade bot and try to plot them with their time and low price data. i wanna get buy signals that i ve specified at if condition (when macdh turns from negative to positive). then i want to plot them at a data. but can not add them at buy_signal=[] place.
            my error is self.plotData(buy_signals = buy_signals) IndexError: list index out of range

            ...

            ANSWER

            Answered 2020-May-18 at 21:35

            You need to replace :

            self.plotData(buy_signals[i]) by self.plotData(buy_signals)

            def plotData(self,buy_signal=False): by def plotData(self,buy_signals=None):

            And it should be good to go !

            Source https://stackoverflow.com/questions/61879083

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install stockstats

            You can install using 'pip install stockstats' or download it from GitHub, PyPI.
            You can use stockstats like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            Install
          • PyPI

            pip install stockstats

          • CLONE
          • HTTPS

            https://github.com/jealous/stockstats.git

          • CLI

            gh repo clone jealous/stockstats

          • sshUrl

            git@github.com:jealous/stockstats.git

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