kandi X-RAY | stockstats Summary
kandi X-RAY | stockstats Summary
Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.
Top functions reviewed by kandi - BETA
- 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
stockstats Key Features
stockstats Examples and Code Snippets
df['macdh']=stock['macdh'] df['macds']=stock['macds'] df['macd']=stock['macd'] return df
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 =
from google.appengine.ext import vendor vendor.add('lib')
stock = StockDataFrame.retype(pd.read_csv('stock.csv')) stock['close_5_sma']
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
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
Trending Discussions on stockstats
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:...
ANSWERAnswered 2021-Jun-13 at 07:23
- You can visit This website for Installing pip in centos 7 Pip Install In Centos 7
for maybe some errors in installing pip.
check that the module name is correctly typed
install stockstats in pip like "pip install stockstats" (getten from pypi.com)
I using the code from https://github.com/gwenshap/kafka-streams-stockstats with latest windowedBy()...
ANSWERAnswered 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
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
ANSWERAnswered 2020-May-18 at 21:35
You need to replace :
def plotData(self,buy_signal=False): by
And it should be good to go !
No vulnerabilities reported
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.
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