What is Sentiment Analysis?
Sentiment analysis in trading is a method for measuring market mood. It analyzes how traders are currently positioned — how many are betting on rising prices (long) and how many on falling prices (short). Unlike technical analysis, which examines past price movements, and fundamental analysis, which evaluates economic data, sentiment analysis measures the psychology of market participants in real time.
The basic assumption: when the majority of retail traders are positioned in one direction, it can be a warning signal. Historically, extreme positioning frequently correlates with trend reversals.
Why is Sentiment Important?
According to ESMA (European Securities and Markets Authority), 70 to 80 percent of retail traders lose money long-term. This is not an opinion — it is a regulatory metric that ESMA-regulated brokers must publish on their websites.
This leads to a simple logic: if the majority is wrong, the majority's positioning can serve as a contrarian indicator. This is the fundamental principle of the contrarian strategy.
Three reasons why sentiment data is valuable:
What Types of Sentiment Data Exist?
Retail Sentiment (what Sentmo shows)
Retail sentiment measures the positioning of private investors at CFD brokers. This data is particularly valuable because retail traders are statistically proven to be on the wrong side of the market more often. Sentmo aggregates this data for 8 instruments: US30, NASDAQ, SPX500, DAX, Gold, EUR/USD, GBP/JPY, and GBP/USD.
COT Report (Institutional Sentiment)
The Commitment of Traders Report is published weekly by the US CFTC. It shows the positioning of institutional traders, hedge funds, and commercial market participants. The COT Report is broader than retail sentiment but less timely — it is only updated once per week with a delay.
Social Sentiment
Some tools analyze sentiment in social media, forums, and news articles. This type of sentiment is more difficult to quantify and more susceptible to manipulation.
How to Read Sentiment Data
The Basic Rule
When the long percentage is high (above 65-70%), it is a potential contrarian short signal. When the short percentage is high (above 65-70%), it is a potential contrarian long signal. The more extreme the positioning, the stronger the signal.
The Change Rate — The Most Important Value
Even more important than the current positioning is the 24-hour change. It shows which direction the crowd is moving. Example: if the long percentage was 60% yesterday and is 72% today, then a massive number of traders have piled into the long side in 24 hours — a strong warning signal.
On Sentmo, the change rate is displayed prominently. When the difference between the long change and short change exceeds 4 percentage points, the dominant value is visually highlighted.
What Sentiment Data Cannot Do
Sentiment data is not a timing tool. It does not tell you WHEN the market will turn — only THAT a turn becomes more likely. Sentiment should always be used in combination with other analysis methods (technical analysis, price action, economic calendar).
How to Use Sentiment Data in Practice
Step 1: Daily Check
Open the Sentmo dashboard and scan the 8 instruments. Look for:
Step 2: Consider Context
Sentiment alone is not enough. Check:
Step 3: Adjust Position Size
When the sentiment signal is strong (extreme positioning + large change), it can be an argument for a larger position — always within your risk management framework.
Conclusion
Sentiment analysis is not a silver bullet, but a valuable additional tool for active traders. The data is objective, measurable, and based on real market activity. Those who understand how the crowd is positioned can make better decisions — not because they are smarter, but because they have the data.
Sentmo makes this data freely available for 8 instruments. No registration, no paywall, updated every 15 minutes.