Advanced Proprietary Model for Market Sentiment Tracking

Market traders are always looking for any source of competitive advantage. Being amongst the first movers in market swings can prove advantageous, as long as you move in the right direction! In the ongoing pursuit of gaining a competitive advantage, many traders are incorporating market sentiment analysis into their trading arsenals.

What is market sentiment analysis?

Sentiment analysis of trading markets assesses the overall attitudes and opinions of investors and the general public towards a certain asset or market as a whole. 

The process involves real-time analysis of news reports, social media discussions, financial statements and other relevant sources to determine whether the prevailing market opinion is bullish or bearish, optimistic or pessimistic. 

By understanding these sentiment trends in real-time, investors can seek to anticipate market movements, reduce risk and make more informed decisions regarding their trades. 

Empirical evidence proposes that market sentiment is one of the most reliable indicators of future price shifts.

By accurately interpreting sentiment data, investors can:

• Have the real-time quantitative data needed to make better informed market trend predictions
• Help to mitigate potential portfolio risks by identifying potential issues before they become commonly known 
• Use the sentiment analysis insights to adjust the portfolios
• Refine AI trading models using quantitative data

How are proprietary models used for market sentiment tracking?

StockGeist.ai is a market sentiment monitoring platform that tracks the current popularity of 2200+ publicly traded companies. 

Powered by multi-layered natural language processing models, our transformer-based NLP model can grasp the contextual meaning behind social media posts, allowing it to differentiate between sarcasm, financial jargon and ambiguous statements. 

The model is always learning the new terminology used by market traders across social media, ensuring it does not miss a beat when it comes to market sentiment tracking. 

Deep learning algorithms are deployed to recognize historical sentiment patterns and to correlate these with market movements. By doing so, forecasting predictions can be presented with greater confidence due to the quantitative data powering the insights. 

The market moves quickly, and so does StockGeist.ai. Vast amounts of trading chatter across social media, the print media, earning reports and expert analyst opinions are analysed and processed in real-time, helping our users to detect emerging shifts in sentiment. 

No trader should exist within an echo chamber; it is important to engage with information from a variety of sources and mediums, such as:

• News articles
• Financial reports
• Social media platforms
• Earnings call transcripts
• Market analysts’ commentary
• Macroeconomic indicators

Real-world applications

It isn’t just small day traders who use sentiment analysis to guide their decisions. 

Traders from hedge funds and investment firms utilise market sentiment data to refine their stock selection and timing strategies, helping to maximise their returns for their clients – discover our hedge fund sentiment analysis service.. 

Corporate decision-makers use sentiment analysis to assess changes to their brand reputation. 

The contextual tracking of sentiment over time provides the data required to understand how certain actions affected investor perception, such as board-level changes. 

Regulatory bodies are known to monitor sentiment trends, keeping an eye out for any potential market manipulations or attempted collusions or insider trading.

Gain a competitive advantage with the StockGeist.ai Market Sentiment Tracking platform

Compared to traditional methods of sentiment analysis, our advanced proprietary models provide higher accuracy, faster processing, broader coverage and actionable insights that will provide you with the trading edge you need for your portfolio. 

Whether you are a retail trader, financial analyst or fund manager, leveraging sentiment data will help you to navigate the ever-changing dynamic markets. 

Utilising StockGeist’s AI-driven platform full of stock sentiment features that analyze live social media comments and news articles for 2200+ trading companies can massively aid shareholders’ investment/trading decisions.

Features of the Stockgeist.ai platform include:

• Real-time rankings based on the social media buzz
• Dynamic watchlists with data over 5 minutes/hour/day
• Context provided by up-to-date wordclouds
• Timelines showing the major news for each company
• Custom dynamic portfolios
• Fundamentals such as market cap and closing prices
• General company profile information

Try it for yourself

StockGeist’s interactive platform provides users with a cutting-edge stock sentiment analysis tool, processing data from the latest social media posts and news updates of over 2200+ selected companies and more to come in the near future!

StockGeist’s stock news sentiment REST API allows developers to harness the full power of data and easily integrate it into their own projects using their favorite programming language. 

With StockGeist’s stock news sentiment API you will be able to:

• Obtain all stock news sentiment data powering StockGeist’s dashboard programmatically;
• Access metrics not yet available in the dashboard
• Enjoy a flexible and transparent credit-based system to pay only for the data that you really need

We also encourage those interested to discover our stock market API, providing developers with real-time market sentiment data for individual stocks and markets, plus access to historical data and relevant social media activity at the user’s convenience. 

For detailed information about all features and capabilities of our stock news sentiment REST API, please contact us.