BLOOMBERG TERMINAL COMMANDS INSTALL
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Check what settings are available on the SMA command: sma -h However, imagine that you wanted to change the length of the window because you don't want to go long but do a swing, and therefore a smaller window is necessary. Slice the historical data by loading ticker and setting a starting point, e.g. View the historical data of this stock: view The menu will expand to all its menus since a ticker has been loaded. Start by loading a ticker of interest: load -t GME Note that it is not necessary to have a valid Alpha Vantage key to get daily OHLC values.

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When these are obtained, don't forget to update config_terminal.py.ДЄlternatively, you can also set them to the following environment variables: GT_API_KEY_ALPHAVANTAGE, GT_API_KEY_FINANCIALMODELINGPREP, GT_API_KEY_QUANDL, GT_API_REDDIT_CLIENT_ID, GT_API_REDDIT_CLIENT_SECRET, GT_API_REDDIT_USERNAME, GT_API_REDDIT_USER_AGENT, GT_API_REDDIT_PASSWORD, GT_API_TWITTER_KEY, GT_API_TWITTER_SECRET_KEY, GT_API_TWITTER_BEARER_TOKEN, GT_API_POLYGON_KEY, GT_FRED_API_KEY, GT_API_NEWS_TOKEN.Д®xample: export GT_API_REDDIT_USERNAME=SexyYear These are the ones where a key is necessary: The project is build around several different API calls, whether it is to access historical data or financials. ' /anaconda3/envs' or '/opt/anaconda3/envs'Д¬ompletely nuke your conda environment folder and make a new environment from scratch Track down the offensive package and purge it from your anaconda folder, then try again (removing through conda can sometimes leave locks behind) Platform If you run into trouble with poetry and the advice above did not help, your best bet is to tryД¬onda deactivate -> conda activate gst, then try againДelete the poetry cache, then try again Platform *Commands that may help you in case of an error: Note: The problem with docker is that it won't output matplotlib figures. Run it: docker run -it gamestonkterminal:dev.If you would like to set up a docker image:

BLOOMBERG TERMINAL COMMANDS INSTALL

at runtime, try this: conda install -c conda-forge fbprophet numpy=1.19.5 hdf5=1.10.5 If you run into issues installing or Cannot convert a symbolic Tensor.

Install optional ML features dependencies:.

If you would like to use optional Machine Learning features:Д®NABLE_PREDICT = os.getenv('GTFF_ENABLE_PREDICT') or True This allows to keep dependencies required by different projects in separate places. Hence, it is recommended for the user to set up a virtual python environment prior to installing these. Note: The libraries specified in the requirements.txt file have been tested and work for the purpose of this project, however, these may be older versions.

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If you are an advanced user and use other Python distributions, we have several requirements.txt documents that you can pick from to download project dependencies. Note that the conda deactivate -> conda activate in the middle is on purpose, this is sometimes required to avoid issues with poetry conda create -n gst python=3.8.8Д¬onda install -c conda-forge fbprophet numpy=1.19.5 hdf5=1.10.5 This is a library for package management, and ensures a smoother experience than: pip install -r requirements.txt Navigate into the folder with: cd GamestonkTerminal/ via SSH: git clone :DidierRLopes/GamestonkTerminal.git.Note: At the end, you can deactivate it with: conda deactivate This is because this name will be used from now onwards. Although you could use names such as: welikethestock, thisistheway or diamondhands, we recommend something simple and intuitive like gst. You can name the environment whatever you want. The output should be something along the lines of: conda 4.9.2 If you decided to add Machine Learning features at a later point, you will likely have better user experience with Anaconda's Python distribution.Д¬onfirm that you have it with: conda -V. Machine Learning Python dependencies are optional. Several features in this project utilize Machine Learning.

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Our current recommendation is to use this project with Anaconda's Python distribution - either full Anaconda3 Latest or Miniconda3 Latest. It should now support Python 3.6, 3.7, and 3.8. This project was originally written and tested with Python 3.6.8. Gamestonk Terminal provides a modern Python-based integrated environment for investment research, that allows the average joe retail trader to leverage state-of-the-art Data Science and Machine Learning technologies.ДЄs a modern Python-based environment, GamestonkTerminal opens access to numerous Python data libraries in Data Science (Pandas, Numpy, Scipy, Jupyter), Machine Learning (Pytorch, Tensorflow, Sklearn, Flair), and Data Acquisition (Beautiful Soup, and numerous third-party APIs). Gamestonk Terminal is an awesome stock and crypto market terminal that has been developed for fun, while I saw my GME shares tanking.

Advanced User Install - Machine Learning.

The next best thing after Bloomberg Terminal.

Bloomberg terminal commands