Opis
Session Flow Atlas Pro is a session and price-action visualisation indicator for cTrader Windows and Mac. It maps the Asia, London and New York trading sessions directly on the chart with translucent range boxes, labels above each box, and optional high/low levels. Use it to compare how price behaves across sessions, monitor opening ranges, and review reactions around previous-day levels.
The indicator displays London and New York opening ranges, the previous day's high and low, and markers for possible sweep rejections. A sweep marker appears when price wicks beyond a completed session's high or low and the bar closes back inside its range. The chart panel shows the current UTC date and time, the active or next scheduled session, a countdown, and the most recently completed session's price range.
Key features:
- Automatic daylight-saving adjustments for London and New York, with a fixed-UTC mode and editable session hours.
- Separate session colours, adjustable box opacity, and labels placed above the range boxes.
- Session high/low, opening-range and previous-day levels, plus sweep-rejection markers.
- Chart controls for All, Today and Active session views and a levels toggle.
- Optional alerts for session opens, opening-range breaks and sweep rejections; sound can be enabled separately.
Best suited to intraday analysis on time-based charts, such as M5 to M30, across forex, indices and crypto. Add it to a chart, confirm that the displayed UTC session hours fit the market you trade, and use the chart controls to focus on the desired period. The indicator is a visual analysis aid and does not place trades.
Data and limitations:
All boxes, levels and markers are calculated from the chart's price bars. Sweep markers describe a price-action pattern; they do not measure resting liquidity, order flow or traded volume, and they do not confirm a profitable setup. Alerts are evaluated on live session starts or completed bars and do not replay historical notifications. Available history depends on the chart and broker data.
