Python libraries for working with MarketPsych's feeds
Project description
# MarketPsych: Power of minds over markets
MarketPsych produces the global standard in financial sentiment and ESG data from the news and social media information flow. We serve global funds, corporations, banks and brokerages in over 25 countries. Our products are distributed exclusively, and in partnership, with [Refinitiv](https://www.refinitiv.com/en), a global provider of financial market data and infrastructure.
MarketPsych’s proprietary NLP engine evaluates thousands of market moving themes, which are further aggregated into scores. The scores form time-series that are updated every 60 seconds. Each score represents the scale and direction of the media focus on complex themes, including sentiments, sustainability and price. They can be translated directly into spreadsheets or charts that can be monitored by traders, risk managers or analysts – or they can be plugged straight into your algorithms for low frequency or longer-term asset allocation or sector rotation decisions.
For more details check out our [website](https://www.marketpsych.com/).
## Features
- Wide coverage:
252 countries
36,000+ global companies, sectors, and ETFs
62 stock indexes and sovereign bonds
44 currencies
51 commodities
300+ cryptocurrencies
Long history: 1998 to the present
Multi-language: sources in 12 languages
AI-based: machine learning NLP system
Highly granular: 100+ scores
Real-time: 60-second, hourly, and daily updates
Sources: 6000+ news and social media outlets
## Install MarketPsych supporting library
### pip ` pip install marketpsych `
## Modules If using Jupyter Notebook, be sure to have version >= 6.0. If using Jupyter Lab, be sure to have version >= 3.0.
### sftp This library assists with loading your trialling data from SFTP directly into a Jupyter notebook.
### mpwidgets This library provides widgets through which you can set your data parameters inside a Jupyter notebook.
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