Real-time data feed includes:
01.
Advanced Analytics
Access Deep insights powered by technical indicators like moving averages, RSI, and volatility.
Moving Averages
Combine short-term and long-term moving averages (e.g., 50-day vs. 200-day) and provide insights like golden cross or death cross detection.
Volatility Metrics
Bollinger Bands: Calculate upper and lower bounds around a moving average based on standard deviations. Historical Volatility: Measure the standard deviation of returns over a specified period.
Price Momentum
Relative Strength Index (RSI): Indicate whether a crypto is overbought or oversold. MACD (Moving Average Convergence Divergence): Identify momentum shifts by comparing moving averages.
Volume analysis
Volume-weighted average price (VWAP). On-balance volume (OBV) for trend confirmation.
02.
Sentiment Analysis
Receive real-time market sentiment from news, social media, and AI-driven analysis.
Social media
Analyze Twitter (X) or Reddit sentiment to measure community mood about specific cryptocurrencies. Provide a sentiment score (+100 for extremely positive, -100 for extremely negative).
News headlines
Scrape crypto news from sources like CoinDesk or Decrypt and perform sentiment analysis on headlines.
03.
Pattern Recognition
Receive key trading patterns like Head & Shoulders, Triangles, and Flags in real time.
Chart pattern alerts
Identify common patterns like head-and-shoulders, flags, or triangles to help predict potential price movements.
Anomaly dedection
Detect outliers or unusual market behavior (e.g., large price swings or flash crashes).
04.
AI Prediction Models
Access AI-driven probability models forecast trend continuations and price movements.
AI predictions
Use machine learning models (e.g., regression or LSTM) to forecast short-term price movements.
Trend probablity
Offer probabilities for trends continuing or reversing based on historical data.