Finance VS financial-machine-learning

Compare Finance vs financial-machine-learning and see what are their differences.

Finance

Study resources for quantitative finance (by yabdellah)
Finance awesome-list quantitative-finance Quant financial-engineering study-materials

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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
Source Code
ml-quant.com
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InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
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Finance financial-machine-learning
2 111
188 5,554
- -
4.5 9.4
over 1 year ago 6 days ago
Python
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.
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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.

Finance

Posts with mentions or reviews of Finance. We have used some of these posts to build our list of alternatives and similar projects.

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 Finance and financial-machine-learning you can also consider the following projects:

Empyrial - AI and data-driven quantitative portfolio management library for portfolio risk and performance analysis 投资组合管理

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.

quantstats - Portfolio analytics for quants, written in Python

zvt - modular quant framework.

awesome-systematic-trading - A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading. [Moved to: https://github.com/paperswithbacktest/awesome-systematic-trading]

zipline - Zipline, a Pythonic Algorithmic Trading Library

AWS-in-bullet-points - ☁️ AWS summary in bullet points

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

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.

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

Finance vs Empyrial financial-machine-learning vs qlib Finance vs quantstats financial-machine-learning vs zvt Finance vs awesome-systematic-trading financial-machine-learning vs zipline Finance vs AWS-in-bullet-points financial-machine-learning vs quant-trading financial-machine-learning vs OpenBBTerminal financial-machine-learning vs vectorbt financial-machine-learning vs deep-finance financial-machine-learning vs awesome-algorithmic-trading