Insights · AI Methodology

How TradeCafe reads the market.

Setups are identified through layered references, filters, and confirmations, not a single indicator. Every signal carries the context behind it, computed client-side from live candles.

01 · Section

The analysis layers

Support / Resistance

Swing-based zones that mark where price has repeatedly reacted.

Pivot points

Classic P / S1–S2 / R1–R2 levels computed from the prior session.

Trend channel

Linear-regression channel with ±2σ bands to frame the active trend.

TSR analysis

Trend bias paired with the nearest meaningful support and resistance.

Trend finder

Auto-fitted trendlines through recent swing points.

Breaks & retests

The most recent broken level and the zone where it is being retested.

02 · Section

From data to signal

01
Reference
Ingest market structure, volatility, and multi-timeframe context.
02
Filter
Screen candidates against trend, liquidity, and risk conditions.
03
Confirm
Require confluence across layers before a setup is promoted.
04
Signal
Publish entry, target, and stop with a confidence score and context.
Computed in the open

Watch the layers redraw on every candle.

Risk acknowledgement

AI-generated analysis and signals are informational tools, not investment advice or a recommendation to trade. Models can be wrong, and market conditions change. Trading involves substantial risk and the potential loss of capital. Always do your own research.