AI Stock Trading Signals
KANNOT-1M delivers real-time buy, hold and sell signals for equities — each backed by backtested performance, market regime context and cross-asset correlation. Built for traders who demand proof before they act.
Stock Signals Powered by 79 Features
Every stock signal is derived from 79 engineered features: multi-timeframe RSI, rolling volatility, normalized OHLC, body ratios, and returns distribution metrics. The model processes fresh market data to generate probability-weighted decisions.
Backtested Equity Performance
Every tracked stock carries transparent backtest metrics — total return, win rate, maximum drawdown, trade count and position duration. These are computed on held-out data to avoid overfitting.
Regime-Aware Stock Analysis
Bull, bear and stagnant regime tags are computed independently for each stock. A buy signal on a stock in a confirmed bear environment is treated with appropriate caution — regime awareness prevents blind follow-through.
From Individual Stocks to Market Context
Stock signals don't exist in a vacuum. Cross-asset correlation checks what the broader market, related sectors and reference assets are doing at the same moment — giving each stock signal institutional-grade context.
FAQ
Which stocks does TRADEMEM cover?
The beta covers a curated watchlist of equities across major markets. Coverage is expanding progressively.
How are stock signals different from generic market signals?
Stock signals include equity-specific backtest metrics, sector-aware cross-asset correlation, and regime classification tuned to equity market dynamics.
Can I track specific stocks?
The current beta uses a curated watchlist. Custom symbol tracking is planned for future releases.