financial-machine-learning VS Stock-Market-Sentiment-Analysis

Compare financial-machine-learning vs Stock-Market-Sentiment-Analysis and see what are their differences.

Stock-Market-Sentiment-Analysis

Identification of trends in the stock prices of a company by performing fundamental analysis of the company. News articles were provided as training data-sets to the model which classified the articles as positive or neutral. Sentiment score was computed by calculating the difference between positive and negative words present in the news article. Comparisons were made between the actual stock prices and the sentiment scores. Naive Bayes, OneR and Random Forest algorithms were used to observe the results of the model using Weka (by gandalf1819)
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financial-machine-learning Stock-Market-Sentiment-Analysis
111 1
5,533 90
- -
9.4 10.0
3 days ago over 3 years ago
Python R
- 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.
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financial-machine-learning

Posts with mentions or reviews of financial-machine-learning. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-09.

Stock-Market-Sentiment-Analysis

Posts with mentions or reviews of Stock-Market-Sentiment-Analysis. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-09.

What are some alternatives?

When comparing financial-machine-learning and Stock-Market-Sentiment-Analysis you can also consider the following projects:

qlib - Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

zvt - modular quant framework.

FinanceToolkit - Transparent and Efficient Financial Analysis

zipline - Zipline, a Pythonic Algorithmic Trading Library

fooltrader - quant framework for stock

quant-trading - Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD

awesome-algorithmic-trading - A curated list of awesome algorithmic trading frameworks, libraries, software and resources

Finance - Study resources for quantitative finance

OpenBBTerminal - Investment Research for Everyone, Everywhere.

vectorbt - Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.

deep-finance - Datasets, papers and books on AI & Finance.