trump2cash | A stock trading bot powered by Trump tweets | Predictive Analytics library

 by   maxbbraun Python Version: Current License: MIT

kandi X-RAY | trump2cash Summary

kandi X-RAY | trump2cash Summary

trump2cash is a Python library typically used in Analytics, Predictive Analytics applications. trump2cash has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can download it from GitHub.

This bot watches Donald Trump's tweets and waits for him to mention any publicly traded companies. When he does, it uses sentiment analysis to determine whether his opinions are positive or negative toward those companies. The bot then automatically executes trades on the relevant stocks according to the expected market reaction. It also tweets out a summary of its findings in real time at @Trump2Cash. The code is written in Python and is meant to run on a Google Compute Engine instance. It uses the Twitter Streaming APIs to get notified whenever Trump tweets. The entity detection and sentiment analysis is done using Google's Cloud Natural Language API and the Wikidata Query Service provides the company data. The TradeKing API does the stock trading.

            kandi-support Support

              trump2cash has a medium active ecosystem.
              It has 6183 star(s) with 870 fork(s). There are 288 watchers for this library.
              It had no major release in the last 6 months.
              There are 26 open issues and 31 have been closed. On average issues are closed in 111 days. There are 9 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of trump2cash is current.

            kandi-Quality Quality

              trump2cash has 0 bugs and 0 code smells.

            kandi-Security Security

              trump2cash has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              trump2cash code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              trump2cash 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

              trump2cash releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.
              trump2cash saves you 950 person hours of effort in developing the same functionality from scratch.
              It has 2164 lines of code, 190 functions and 10 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed trump2cash and discovered the below as its top functions. This is intended to give you an instant insight into trump2cash implemented functionality, and help decide if they suit your requirements.
            • Return a list of company data
            • Get company data
            • Make a wikidata query
            • Log a debug message
            • Implements twitter callback
            • Returns a strategy for a given company
            • Calculate the budget for a given balance
            • Return a list of company entities
            • Get historical prices for a given timestamp
            • Get historical quotes for a given ticker
            • Get the next trading day
            • Converts UTC timestamp to market time
            • Runs the backoff sequence
            • Helper function for backoff
            • Convert UTC timestamp to market time
            • Return sentiment emoji
            • Format a ratio
            • Called when an error occurs
            • Get the budget for the given balance
            • Calculate the ratio of a strategy
            • Format a timestamp
            • Start the worker threads
            • Process a worker queue
            • Determine if the strategy should trade
            • Get the full text of a tweet
            • Get the strategy for a given company
            • Return the market status for a given timestamp
            • Return a list of all twitter tweets
            • Format a dollar amount
            Get all kandi verified functions for this library.

            trump2cash Key Features

            No Key Features are available at this moment for trump2cash.

            trump2cash Examples and Code Snippets

            No Code Snippets are available at this moment for trump2cash.

            Community Discussions


            will TensorFlow utilize GPU for predictive Analysis?
            Asked 2020-Nov-21 at 21:35

            GPU is good for parallel computing but the problem is some machine learning libraries don't utilize the GPU, unless that machine learning based on image processing or some sort of graphics processing, what if I am using machine learning for predictive Analytics? do libraries like TensorFlow utilize the GPU? or they use only CPU? or can I choose which processing unit to use? whats the deal here?

            note: predictive Analysis requires no graphics processing.



            Answered 2020-Nov-21 at 21:35
            The short answer: yes, it will! The slightly longer answer:

            The computation that happens in the GPU in any of the machine learning frameworks that support GPUs is not limited to graphical processing. For instance, if your model is a simple logistic regression, a framework such as TensorFlow will run it on the GPU if properly configured.

            The advantage of GPUs for machine learning is that training big neural networks benefits greatly from the high level of parallelism that the GPUs offer.

            If you want to know more about this, I'd recommend you start here or here.

            some things to consider:
            • how much a model will benefit from running in the GPU will depend on how much it will benefit from parallel computation in general.
            • Deep Learning models can be applied to predictive analytics, as well as more classical machine learning models. Bear in mind that neural nets are possibly the category of models that will benefit inherently from the GPU (see links above).
            • Even though running models using GPUs (or even more specialised hardware) can bring benefits, I would suggest that you don't choose a framework and, especially, don't choose an algorithm based solely on the fact that it will benefit from parallelism, but rather look at how appropriate a given algorithm is for the data you have.



            Restructuring Pandas Dataframe for large number of columns
            Asked 2020-Nov-01 at 19:39

            I have a pandas dataframe which is a large number of answers given by users in response to a survey and I need to re-structure it. There are up to 105 questions asked each year, but I only need maybe 20 of them.

            The current structure is as below.

            What I want to do is re-structure it so that the row values become column names and the answer given by the user is then the value in that column. In a picture (from Excel), what I want is the below (I know I'll need to re-name my columns, but that's fine once I can create the structure in the first place):

            Is it possible to re-structure my dataframe this way? The outcome of this is to use some predictive analytics to predict a target variable, so I need to re-strcture before I can use Random Forest, kNN, and so on.



            Answered 2020-Nov-01 at 19:39

            You might want try pivoting your table:



            Display data from two json files in react native
            Asked 2020-May-17 at 23:55

            I have js files Dashboard and Adverts. I managed to get Dashboard to list the information in one json file (advertisers), but when clicking on an advertiser I want it to navigate to a separate page that will display some data (Say title and text) from the second json file (productadverts). I can't get it to work. Below is the code for the Dashboard and next for Adverts. Then the json files



            Answered 2020-May-17 at 23:55

            The new object to get params in React Navigation 5 is:


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


            No vulnerabilities reported

            Install trump2cash

            The authentication keys for the different APIs are read from shell environment variables. Each service has different steps to obtain them.
            There are a few library dependencies, which you can install using pip:.


            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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            gh repo clone maxbbraun/trump2cash

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