Dive Deep into Seasonal Signals Features
Explore the powerful tools within Seasonal Signals designed to help you identify, analyze, and track cryptocurrency seasonality.
Backtest Seasonality with Historical Data
Don't just guess if a pattern works. Select any identified seasonal edge (past, present, or future) and instantly see its historical performance. Analyze year-by-year results, visualize profit/loss for each occurrence, and understand the historical win rate – the percentage of times the pattern played out successfully in the past. This builds confidence and context.
Monitor Live Seasonal Patterns
Stay on top of seasonal opportunities happening now. The app clearly highlights edges that are currently active based on their historical start dates. Track the entry price, the current price of the asset, and the real-time Profit and Loss (PnL) since the edge began. See how far into the typical duration the pattern has progressed.
Plan Ahead with Upcoming Seasonal Insights
Look beyond today. Seasonal Signals identifies potential edges that are scheduled to begin based on historical data. Preview these upcoming patterns, examine their historical win rates, average percentage gains, and other key statistics. Use this foresight to anticipate potential market shifts and plan your strategy accordingly. Some patterns boast historical win rates above 85%!
Optimize Timing with Signal Convergence
Some dates are more significant than others. The timeline view visualizes all identified seasonal edges for an asset. Look for dates where multiple high-probability entry signals historically cluster – these could represent strong potential buy zones. Similarly, identify periods where multiple edges tend to conclude, suggesting potential optimal exit timing (e.g., between May 18th and June 8th for a specific ETH pattern).
Analyze Your Favorite Crypto Assets
Apply the power of seasonal analysis to a wide range of popular cryptocurrencies. We currently support ADA, AVAX, DOGE, ETH, LINK, PEPE, SOL, TRX, XLM, XRP and continuously research and add new assets based on data availability and user demand.