stock-prediction-deep-neural-learning VS FinanceDataReader

Compare stock-prediction-deep-neural-learning vs FinanceDataReader and see what are their differences.

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stock-prediction-deep-neural-learning FinanceDataReader
44 6
432 797
- -
7.1 6.7
4 months ago almost 2 years ago
Jupyter Notebook Jupyter Notebook
Creative Commons Zero v1.0 Universal 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.

stock-prediction-deep-neural-learning

Posts with mentions or reviews of stock-prediction-deep-neural-learning. 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 stock-prediction-deep-neural-learning and FinanceDataReader you can also consider the following projects:

mplfinance - Financial Markets Data Visualization using Matplotlib

investpy - Financial Data Extraction from Investing.com with Python

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

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

dm-haiku - JAX-based neural network library

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]

easyesn - Python library for Reservoir Computing using Echo State Networks

core-js - Standard Library

MachineLearningStocks - Using python and scikit-learn to make stock predictions

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

telemanom - A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

sc2eval - LSTM-based machine learning solution for evaluation of strategic position in Starcraft II.