Loading page content
Loading page content
From raw price data to actionable trade zones — the math behind the Expected Zone.
Every forecast begins with continuous OHLC (Open, High, Low, Close) price data. Our pipeline collects and normalizes market data across equities, forex, crypto, commodities, and indices — ensuring each instrument has a clean, gap-adjusted time series before any model touches it.
1,456 instruments · 5 markets · Updated daily
Each instrument is run through seven proprietary models simultaneously. Every model captures a different dimension of price behavior — trend, momentum, seasonality, mean-reversion, and volatility regime — producing both a point forecast and an 80% confidence interval.
Each dot = point forecast · Each bar = 80% CI range
The seven lower-bound forecasts and seven upper-bound forecasts are each sorted. We take the 25th percentile (Q1) of the lower bounds and the 75th percentile (Q3) of the upper bounds. The span between Q1 and Q3 becomes the Expected Zone — the range where price is most likely to trade.
Q1 = 25th percentile lower bounds · Q3 = 75th percentile upper bounds
The entire pipeline runs three times for each instrument — once per forecast horizon. This gives traders short-, medium-, and longer-term Expected Zones so they can align entries with their holding period.
The current price is mapped against the Expected Zone to derive a directional bias. If price sits below the zone, the signal is bullish (room to rise). If above, bearish (room to fall). If inside, the bias is sideways — no clear edge.
Every day our pipeline runs across 1,456 instruments. Explore live Expected Zones, trade bias signals, and scored forecast accuracy.
View Live Forecasts88.5% effective rate · 1M+ scored