mplfinance VS stock-prediction-deep-neural-learning

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

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mplfinance stock-prediction-deep-neural-learning
141 44
3,366 432
1.8% -
6.4 7.1
about 1 month ago 4 months ago
Python Jupyter Notebook
GNU General Public License v3.0 or later Creative Commons Zero v1.0 Universal
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.

mplfinance

Posts with mentions or reviews of mplfinance. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-05.

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.

What are some alternatives?

When comparing mplfinance and stock-prediction-deep-neural-learning you can also consider the following projects:

yfinance - Download market data from Yahoo! Finance's API

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

yflive - Live Data Streamer for Yahoo! Finance

dm-haiku - JAX-based neural network library

Yahooquery - Python wrapper for an unofficial Yahoo Finance API

easyesn - Python library for Reservoir Computing using Echo State Networks

quantclean - 🧹 Quantclean is a program that reformats financial dataset to US Equity TradeBar (Quantconnect format)

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

ark_invest - daily report of @arkinvest ETF activity + data collection

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.

TAcharts - Apply popular TA tools and charts to candlestick data with NumPy.

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