stock-prediction-deep-neural-learning VS mplfinance

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

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stock-prediction-deep-neural-learning mplfinance
44 141
432 3,353
- 1.4%
7.1 6.4
4 months ago 30 days ago
Jupyter Notebook Python
Creative Commons Zero v1.0 Universal GNU General Public License v3.0 or later
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.

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.

What are some alternatives?

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

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

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

dm-haiku - JAX-based neural network library

yflive - Live Data Streamer for Yahoo! Finance

easyesn - Python library for Reservoir Computing using Echo State Networks

Yahooquery - Python wrapper for an unofficial Yahoo Finance API

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

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

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.

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

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

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