What is Retail Sentiment Data?

Retail sentiment data shows the percentage of retail traders who are long (buying) vs short (selling) on each currency pair.

For example, if EUR/USD shows 30% Long / 70% Short, it means 70% of retail traders are betting the Euro will fall against the Dollar.

Site Features

📊 Overview — Real-time sentiment dashboard featuring Biggest Movers (pairs with the largest daily sentiment shifts) and the Currency Sentiment Meter (aggregated bullish/bearish bias per currency).

📈 Charts — Interactive historical sentiment visualization. See exactly how positioning has evolved over time with detailed trend analysis.

🔥 Heatmap — At-a-glance view of extreme positioning across all 29 pairs. Instantly spot where the crowd is heavily long or short.

🔗 Correlation — Sentiment correlation matrix showing how positioning moves together across different pairs. Useful for identifying related trades and hedging opportunities.

🚨 Signals — Retail sentiment pattern alerts that track positioning changes including crossovers, momentum shifts, and currency strength divergences. Monitor when trader sentiment reaches significant levels. (These are sentiment analysis signals, not trading recommendations.)

⚡ Extremes — Historical log of extreme sentiment readings (80%+ long or short). Track when and where the crowd gets most one-sided — prime contrarian opportunities.

🧩 Embeds — Embed live sentiment widgets on your own website or trading journal. Multiple styles available.

Why Historical Data Matters

The problem with most sentiment data: Most platforms only show you the current snapshot — a single number with no context.

When you see "65% Long", you don't know: Was it 80% an hour ago? Has it been climbing or falling? Did it just flip from majority short?

We solve this. Our historical charts show you exactly how sentiment has evolved over time, so you can:

Spot sentiment trends and momentum
See when sentiment flips direction
Identify how fast traders are changing their positions
Compare current levels to historical extremes

Context transforms raw data into actionable intelligence.

How to Use It for Trading

The Contrarian Approach: Retail traders are often wrong at market extremes. When sentiment reaches extreme levels, the market often reverses.

>70% Short → Potential BUY signal (crowd is heavily short)
>70% Long → Potential SELL signal (crowd is heavily long)
40-60% → Neutral, no clear signal

Momentum Confirmation: Watch for sentiment shifts that align with price action. A sharp move in positioning often precedes or confirms price moves.

⚠️ Sentiment is just one tool. Always combine with technical analysis and proper risk management.

Data Source & Updates

Source: Aggregated positioning data from multiple retail forex brokers
Pairs: 28 major and minor forex pairs + XAU/USD (Gold)
Update Frequency: Every 5 minutes during market hours
Timezone: All timestamps displayed in Jerusalem time (IST/IDT)
Historical Data: Full history available via charts, with OHLC aggregation for multiple timeframes

Frequently Asked Questions

Is this data free?

Yes, the website is completely free to use including all features, charts, signals, and historical data.

How accurate is the sentiment data?

The data reflects real retail trader positions aggregated from multiple major forex brokers worldwide. It's a reliable indicator of retail market sentiment, representing a significant sample of retail trading activity.

Can I embed this data on my website?

Yes! Visit the Embeds page to get embed codes for various widget styles that you can add to your website or trading journal.

What do the colors mean on the heatmap?

🟢 Green = Extreme Long (>70% long) | 🔴 Red = Extreme Short (>70% short) | Gray = Neutral positioning

What timezone is used for the data?

All data is displayed in Jerusalem timezone (Asia/Jerusalem), which automatically adjusts for Israeli Daylight Time. "Today's Change" is calculated from midnight Jerusalem time.

Why do some pairs show no data on weekends?

Forex markets are closed from Friday evening to Sunday evening (Jerusalem time). During this period, sentiment data is not updated as there is no trading activity.

How are the sentiment pattern signals generated?

Pattern signals are generated automatically when retail sentiment shows significant changes: crossovers (when long% crosses above/below short%), momentum (consecutive rises in one direction), and currency strength divergences. These track positioning changes, not trade recommendations. Visit the Signals page for the latest alerts.