HOW SMART-SIGNALS.AI WORKS

Signals are generated by a proprietary machine learning pipeline using classification and regression models trained on historical data. These models estimate momentum, volatility, and volume trends for selected tickers over the next 7 trading days. When the model forecasts a positive trend, an uptrend signal is issued. A negative forecast results in a downtrend signal.

Inputs to the model are curated and tested for predictive relevance. While the algorithm and feature set remain proprietary, internal testing shows strong historical performance across varied market conditions. Classification models have demonstrated solid precision, recall, and accuracy metrics. Regression models have shown consistency in estimating directional trends.  All forecasts are informational and model-driven. Not financial advice. Past performance does not guarantee future results.

The entire pipeline is retrained nightly—after market close—so your next-day forecasts reflect the most current market dynamics and sentiment shifts.

Your curated signal report is delivered via email each morning in a clean, readable format—designed for quick scanning and informed decision-making. Each report includes model-generated forecasts, trend indicators, and confidence metrics.

🔎 Signal: Overall directional estimate (e.g., 🟢 Uptrend or 🔴 Downtrend) 

💲 Model Price: Most recent close price 

📈 Risk Band Est.: Estimated price range based on model output 

⚖️ Modeled Risk Reward: Ratio of estimated upside to downside 

🚀 Momentum Est.: Daily momentum estimate with R² fit for trend strength 

🌪️ Volatility Est.: Price fluctuation category with associated probability 

🔊 Volume Est.: Relative trading volume with probability 

🗣️ Sentiment Trend: External market tone (e.g., Neutral, Positive, Negative) and directional shift

SMART-SIGNALS.AI is built to support short-term market awareness and informed decision-making—one model-driven signal at a time.