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

Compare Stock-Market-Sentiment-Analysis vs financial-machine-learning 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

A curated list of practical financial machine learning tools and applications. (by firmai)
Quant quantitative-finance stock-market Finance Cryptocurrency trading-strategies algorithmic-trading Investment
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ml-quant.com
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InfluxDB - Power Real-Time Data Analytics at Scale
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Stock-Market-Sentiment-Analysis financial-machine-learning
1 111
90 5,540
- -
10.0 9.4
over 3 years ago 6 days ago
R Python
GNU General Public License v3.0 only -
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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.

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.

What are some alternatives?

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

zvt - modular quant framework.

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.

FinanceToolkit - Transparent and Efficient Financial Analysis

fooltrader - quant framework for stock

zipline - Zipline, a Pythonic Algorithmic Trading Library

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

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

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.

Stock-Market-Sentiment-Analysis vs zvt financial-machine-learning vs qlib Stock-Market-Sentiment-Analysis vs FinanceToolkit financial-machine-learning vs zvt Stock-Market-Sentiment-Analysis vs fooltrader financial-machine-learning vs zipline Stock-Market-Sentiment-Analysis vs awesome-algorithmic-trading financial-machine-learning vs quant-trading financial-machine-learning vs Finance financial-machine-learning vs OpenBBTerminal financial-machine-learning vs vectorbt financial-machine-learning vs deep-finance