pyti | Python library of various financial technical indicators | Cryptocurrency library

 by   kylejusticemagnuson Python Version: 0.2.2 License: MIT

kandi X-RAY | pyti Summary

kandi X-RAY | pyti Summary

pyti is a Python library typically used in Blockchain, Cryptocurrency applications. pyti has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install pyti' or download it from GitHub, PyPI.

This library contains various financial technical indicators that can be used to analyze data. Now compatible with both Python 2.7 and Python 3.6.
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            kandi-support Support

              pyti has a low active ecosystem.
              It has 539 star(s) with 152 fork(s). There are 48 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 12 open issues and 7 have been closed. On average issues are closed in 22 days. There are 6 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of pyti is 0.2.2

            kandi-Quality Quality

              pyti has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              pyti is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              pyti releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              pyti saves you 3513 person hours of effort in developing the same functionality from scratch.
              It has 7520 lines of code, 348 functions and 96 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed pyti and discovered the below as its top functions. This is intended to give you an instant insight into pyti implemented functionality, and help decide if they suit your requirements.
            • Money Flow Index
            • Money Flow
            • Calculate the typical price
            • Fill missing values
            • Chikin money flow
            • Compute the positive volume index
            • Helper function to calculate the volume index
            • Compute the negative volume index
            • Average Directional Index
            • Calculate negative direction
            • Negative Directional Index
            • Weighted Moving Average
            • Volume Adjusted Moving Average
            • Double Smoothed Stochastic
            • Calculate the bandwidth of a given period
            • Calculate the percentage of bandwidth
            • Exponential Moving Average
            • Linear Weighted Moving Average
            • Vertical Filter
            • Simple Moving Average
            • Aroon Down
            • Aroon Up
            • Standard Deviation
            • Return the rate of change
            • The commodity channel index
            • Standard Variance
            Get all kandi verified functions for this library.

            pyti Key Features

            No Key Features are available at this moment for pyti.

            pyti Examples and Code Snippets

            No Code Snippets are available at this moment for pyti.

            Community Discussions

            QUESTION

            Input Range with opaque range button isn't working in Chrome but in Firefox
            Asked 2021-May-22 at 12:06

            I have a input range that is style like a ruler and the range button that is styled as a opaque circle. It's working fine in Firefox and Safari but not in chrome.

            I appreciate any suggestions how to make the code work in all browsers.

            Here is the code:

            ...

            ANSWER

            Answered 2021-May-22 at 12:06

            Since your code didn't work for me in any browser, i changed it a bit to reproduce the design from your image. I:

            • changed the scopeWidth in the script a bit and resized the input, both for perfectly fitting to the image and made the input completely opaque
            • gave the outer span the same height like its width and 50% border-radius plus boxshadow and made it partially opaque
            • gave the outer span a display: inline-flex (plus the centering) for aligning the inner span
            • defined for the outer span pointer-events: none for moving the input without the span as obstacle

            With these changes it worked for me in any browser (inkl. firefox)...

            Working example:

            Source https://stackoverflow.com/questions/67365772

            QUESTION

            python : list structure for input of pyti average true range function
            Asked 2020-Dec-26 at 10:40

            I'm new to Python and I would like to use the average_true_range() function of pyti. ATR is based on True Range ( https://github.com/kylejusticemagnuson/pyti/blob/master/pyti/true_range.py ), but I have a hard time understanding how the input for True Range should look like.

            True Range is calculated with the high, low and last close ( see https://en.wikipedia.org/wiki/Average_true_range )

            True Range is calculated this way in pyti:

            ...

            ANSWER

            Answered 2020-Dec-26 at 10:40

            Just pass in close_data = [close_day1, close_day2, close_day3, ...] and period = index_between_0_and_len_of_close_data.

            I.e. for close_data you just pass values of all closing prices. And for period you pass just index, any integer number between 0 and len(close_data) (non-inclusive).

            You may also look into wiki about average true range and true range.

            Source https://stackoverflow.com/questions/65455426

            QUESTION

            PYTHON /PANDAS VALUEERROR
            Asked 2020-May-12 at 20:32

            hi there i am trying to make a trade bot with somedatas that i have collected from web. but i always get Valueerror my code is done for me i will try to plot it with ploty or something else but i need to pass this error first.if you can do it with a macd parameter i will be soo greatfull have a nice day.

            ...

            ANSWER

            Answered 2020-May-12 at 20:17

            I used json_normalize instead of from_dict and when I print the df this is what i get:

            Source https://stackoverflow.com/questions/61760856

            QUESTION

            Pyti rsi produces negative numbers
            Asked 2019-Apr-22 at 15:51

            Pyti relative strength index produces negative numbers when it is supposed to be between 0 and 100.

            ...

            ANSWER

            Answered 2019-Apr-22 at 15:51

            There is a bug inside pyti:

            Source https://stackoverflow.com/questions/55753793

            QUESTION

            TypeError: object of type 'numpy.float64' has no len()
            Asked 2018-Apr-30 at 11:38

            I'm trying to calculate Money Flow Index for bitcoin price.

            To do this I'm using gdax, pandas and pyti.

            Here's my code:

            ...

            ANSWER

            Answered 2018-Mar-17 at 12:06

            I have extracted functions from pyti module. This is how your code actually execute inside modules.

            Source https://stackoverflow.com/questions/49335590

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

            Vulnerabilities

            No vulnerabilities reported

            Install pyti

            You can install using 'pip install pyti' or download it from GitHub, PyPI.
            You can use pyti 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 pyti

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            https://github.com/kylejusticemagnuson/pyti.git

          • CLI

            gh repo clone kylejusticemagnuson/pyti

          • sshUrl

            git@github.com:kylejusticemagnuson/pyti.git

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