TradeUI

Analyzes live market data using machine learning to identify anomalies and actionable trading signals that deviate from normal market behavior. Filters noise to surface patterns worth investigating.

Uses machine learning to identify recurring chart patterns, candlestick formations, and technical patterns across multiple timeframes and assets. Detects patterns that human traders might miss.

Simulates trading strategies against historical market data to evaluate profitability, drawdowns, and risk metrics. Tests how a strategy would have performed in the past.

Analyzes holdings and historical trades to calculate returns, risk metrics, correlation analysis, and portfolio composition insights. Provides visibility into portfolio health and diversification.

Generates specific trade recommendations based on machine learning analysis of market conditions, technical patterns, and signal combinations. Provides actionable trade ideas with entry/exit suggestions.

Displays complex market data in clean, responsive charts and dashboards that make technical analysis accessible to non-expert traders. Presents signals and patterns visually.

Identifies unusual price movements, volume spikes, and volatility changes that deviate from statistical norms. Flags events that may precede significant market moves.

Scans across multiple stocks, cryptocurrencies, or other assets simultaneously to identify those meeting specific criteria or showing relevant signals. Reduces manual watchlist monitoring.

Computes key risk measurements including drawdown, Sharpe ratio, volatility, value-at-risk, and other metrics to quantify portfolio and strategy risk. Helps traders understand downside exposure.

Provides limited access to core trading analysis features at no cost, allowing users to evaluate the platform before committing to paid subscription. Removes barriers to entry.