Methodology
Linear regression in price forecasting: what it can and cannot do
How a simple trend line fitted to log prices helps (and limits) short-horizon forecasts.
12 Oct 2026 · MarketLens Editorial
Market insights
Learn technical analysis and forecasting
Clear, practical guides to the indicators and concepts behind every MarketLens forecast.
Methodology
Gradient-boosted trees for market data, explained simply
What boosted decision trees (the idea behind XGBoost) learn from technical features, and why they are tested before trusted.
12 Oct 2026 · MarketLens Editorial
Product
How MarketLens forecasts learn from real outcomes
Past forecasts are compared with what actually happened, and models that were more accurate receive more weight.
12 Oct 2026 · MarketLens Editorial
Product
Why your thumbs up or down matters
Customer feedback on each forecast feeds into model weighting and uncertainty calibration.
12 Oct 2026 · MarketLens Editorial
Education
Reading uncertainty ranges like a professional
A forecast is a range, not a number. Learn what the 10th to 90th percentile band means.
12 Oct 2026 · MarketLens Editorial
Methodology
Backtesting without look-ahead bias
Why every MarketLens backtest only uses data that existed at each forecast date.
12 Oct 2026 · MarketLens Editorial