RECENT TREND—
Annualized slope guide based on recent closes.
CLIENT-SIDE MODEL LAB
AI Stock Predictor
Explore an educational forecast using daily Alpha Vantage market data and browser-based trend, momentum and volatility calculations. Forecasts are limited to 252 trading days—approximately one year.
Client-side API connectedMarket data is requested directly from Alpha Vantage.
SYMBOLAAPL
LATEST CLOSE—
MODEL FORECAST—
PROJECTED CHANGE—
CONFIDENCE GUIDE—
HISTORY + EDUCATIONAL FORECAST
AAPL forecast
HistoryForecastRange
Historical daily closes from Alpha VantageForecast range widens with time
VOLATILITY—
Recent daily return variability.
MOMENTUM—
Recent price change over the analysis window.
Important: model output is not a recommendation.
Historical price behaviour cannot reliably predict future returns. The forecast is a mathematical scenario for learning and comparison only.
HOW IT WORKS
A transparent browser-based forecasting approach
The static version uses a clear model built from recent trend, momentum and volatility so the user can explore a one-year educational forecast without a Python server.
01Load daily prices
The browser requests daily OHLCV data from Alpha Vantage.
02Calculate returns
Daily percentage changes estimate momentum and volatility.
03Estimate trend
A linear regression slope is combined with recent momentum.
04Build a range
Uncertainty expands with the square root of forecast time.