Deep-Learning-Machine-Learning-Stock VS FinanceDataReader

Compare Deep-Learning-Machine-Learning-Stock vs FinanceDataReader and see what are their differences.

Deep-Learning-Machine-Learning-Stock

Deep Learning and Machine Learning stocks represent a promising long-term or short-term opportunity for investors and traders. [Moved to: https://github.com/LastAncientOne/Deep_Learning_Machine_Learning_Stock] (by LastAncientOne)

FinanceDataReader

Financial data reader [Moved to: https://github.com/financedata-org/FinanceDataReader] (by FinanceData)
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Deep-Learning-Machine-Learning-Stock FinanceDataReader
5 6
792 797
- -
10.0 6.7
about 1 year ago almost 2 years ago
Jupyter Notebook Jupyter Notebook
MIT License GNU General Public License v3.0 only
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Deep-Learning-Machine-Learning-Stock

Posts with mentions or reviews of Deep-Learning-Machine-Learning-Stock. We have used some of these posts to build our list of alternatives and similar projects.

FinanceDataReader

Posts with mentions or reviews of FinanceDataReader. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing Deep-Learning-Machine-Learning-Stock and FinanceDataReader you can also consider the following projects:

tsfresh - Automatic extraction of relevant features from time series:

investpy - Financial Data Extraction from Investing.com with Python

DataScienceProjects

catapult-client - The official C++ client for the Symbol blockchain.

thesis_undergrad - Documentation: Methodology and Exploratory Data Analysis

stock-prediction-deep-neural-learning - Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting

bulbea - :boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling

core-js - Standard Library

Astock - Astock

FinanceDataReader - Financial data reader [Moved to: https://github.com/FinanceData/FinanceDataReader]

FeatureHub - The most comprehensive library of AI/ML features across multiple domains. Our goal is to create a dataset that serves as a valuable resource for researchers and data scientists worldwide

TradingGym - Trading Gym is an open source project for the development of reinforcement learning algorithms in the context of trading.