Metadata-Version: 2.1
Name: crypto-analysis-cli-datacryptoanalytics
Version: 0.0.1
Summary: Analyze Cryptocurrencies on the Binance Exchange
Home-page: https://github.com/datacrypto-analytics/crypto-analysis-cli
Author: Felipe Soares
Author-email: contato@datacryptoanalytics.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: POSIX :: Linux
Classifier: Framework :: Matplotlib
Requires-Python: >=3.6
Description-Content-Type: text/markdown


 <img alt="anaconda" src="https://anaconda.org/datacryptoanalytics/crypto-analysis-cli/badges/version.svg"> <a><img src="https://img.shields.io/badge/python-> 3.2-blue.svg"></a>     <img src="http://img.shields.io/liberapay/receives/datacryptoanalytics.svg?logo=liberapay">  <img alt="GitHub" src="https://img.shields.io/github/license/datacrypto-analytics/crypto-analysis-cli"> <img alt="anaconda" src="https://anaconda.org/datacryptoanalytics/crypto-analysis-cli/badges/latest_release_relative_date.svg">



 <h1> <a rel="datacryptoanalytics" href="https://datacryptoanalytics.github.io/">DataCrypto Analytics </a></h1>
 <h3> <a rel="datacryptoanalytics" href="https://datacryptoanalytics.github.io/"> Quantitative Analysis Algorithms </a></h3>




Algoritmos Machine Learning para o mercado de <b>Criptomoedas</b>. Desenvolvido com rede neural e árvore de decisões que analisa as possiveís movimentações do mercado.

- Observe que no site temos a página <b>Resultados</b>, está hospedado o <i>Backtesting</i> da nossa última versão, e em nosso canal no  <a rel="Youtube" href="https://www.youtube.com/channel/UCxfGBCV9E04Uw4flJLjBCqg?view_as=subscriberl">Youtube</a> vídeos de instalação e configuração.

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Quantitative Machine Learning Algorithms for the <b> Cryptocurrencies </b> market. Developed with neural network and decision tree that analyzes the possible movements of the market.

- Note that on the website we have the <b> Results </b> page, the <i> Backtesting </i> of our latest version is hosted, and on our channel at <a rel = "Youtube" href = "https: //www.youtube.com/channel/UCxfGBCV9E04Uw4flJLjBCqg?view_as=subscriberl">Youtube </a> installation and configuration videos.
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<h2><b>Instalação/Installation</b></h2>


Download and install Anaconda Project

- [anaconda.com](https://www.anaconda.com/products/individual#Downloads)

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- Download

`~$ git clone https://github.com/datacryptoanalytics/crypto-analysis-cli.git`


`~$ cd crypto-analysis-cli`

`~$ cd algorithms`

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- Abrir `datacrypto-analytics_sentimento.py ` e alterar as seguintes linhas:
- Open `datacrypto-analytics_sentimento.py` and change the following lines:

`13 consumer_key = 'SUA API KEY TWITTER'`

`14 consumer_secret = 'SUA API SECRET KEY TWITTER'`

`15`

`16 access_token = 'SEU ACCESS TOKEN'`

`17 access_token_secret = 'SEU ACCESS TOKEN'`


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<h4>Instalar dependências necessárias/Install required dependencies </h4>


- Instalar Requeriments.txt

`~$ pip install -r requirements.txt`


- NumPy

`~$ pip install numpy`

- Tweepy

`~$ pip install tweepy`

- Textblob

`~$ pip install textblob`


- PYTHON-BINANCE

`~$ pip install python-binance`

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<h4>Iniciar algoritmo/Run algorithms</h4>


`~$ python regressao-linear.py`

`~$ python num-trades-binance-spot.py`

`~$ python datacrypto-analytics_sentimento.py`





<i>Atenção: Este repositório não contém os algoritmos a venda em nosso <a rel="datacryptoanalytics" href="https://datacryptoanalytics.github.io/">site</a>. </i>

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