Technical methodology

How the site works

The platform combines price history with a reading of the current move. Its core principle is straightforward: the wick shows that a level was tested; the closed daily candle determines whether the zone held or broke.

Methodology described on this page: July 18, 2026 version.

1. Data used in the analysis

The site retrieves OHLCV series—open, high, low, close, and volume—and, when available, supplementary order-book information. Current price and the latest candle feed the present-market reading; closed daily history feeds the statistical classification of zones.

Indicators and structures are calculated by the system from the data received. Refresh timing may vary according to market hours, asset liquidity, and provider availability.

2. How zones are identified

Support and resistance are treated as technical regions around a reference price, not as a promise of an exact reaction at a single tick. The system searches for meaningful pivots, highs, lows, subsequent reactions, and extreme levels, grouping nearby prices into the same zone.

  • Support: a region at or below price where buying pressure historically interrupted or reversed a decline.
  • Resistance: a region at or above price where selling pressure historically interrupted or reversed an advance.
  • Zone tolerance: adaptive width influenced by volatility, including ATR, to prevent normal noise from being treated as separate levels.
  • Timeframe confirmation: weekly zones may be related to and confirmed by nearby daily structures.
  • Role reversal: the same region may act as resistance and later become support after a breakout—or the reverse.

3. Official rule: defense or breakout

Primary rule: the counting unit is a closed daily candle. The timeframe selected on the chart does not change this rule.

When the zone acts as support

Price must approach from above. If the daily low touches or crosses the line and the candle closes on or above it, the event counts as a defense. If it closes below the line, it counts as a breakout.

When the zone acts as resistance

Price must approach from below. If the daily high touches or crosses the line and the candle closes on or below it, the event counts as a defense. If it closes above the line, it counts as a breakout.

Wicks and false breakouts

A daily high or low may cross the line intraday without confirming a breakout. If price crosses during the day but the daily close returns to the defensive side, the event is classified as a defense and may also be identified as a false breakout. A wick crossing the line is not enough.

SituationSupport resultResistance result
Wick crosses and the close returnsDefense; possible false breakoutDefense; possible false breakout
Close exactly on the lineDefenseDefense
Close on the broken sideBelow the line: breakoutAbove the line: breakout
Candle is still formingNot included in resolved historyNot included in resolved history

4. Historical strength and historical breakout rate

Historical percentages use resolved events only. The absolute number of events determines sample size, but it does not change the formula.

Historical strength = defenses ÷ (defenses + breakouts) × 100
Historical breakout rate = breakouts ÷ (defenses + breakouts) × 100

Examples: 1 defense and 0 breakouts produces 100% historical strength; 100 defenses and 0 breakouts also produces 100%. The difference is sample confidence: the second case contains far more historical evidence.

False breakouts that finish with a close on the correct side count as defenses, not confirmed breakouts. If there is no resolved defense or breakout, the dashboard does not present a historical percentage as though a sample existed.

5. What “Current reading” means

The Current reading does not repeat historical strength. It estimates the technical probability that the move will break the relevant zone nearest to the current price. If the nearest zone is resistance, it assesses the probability of an upward breakout; if it is support, it assesses the probability of a downward breakdown.

The estimate combines the following technical inputs with defined weights:

Zone history

Observed breakout and defense rates from closed daily candles.

Trend and structure

EMA 9, EMA 21, moving-average slope, swing highs and lows, and recent direction.

Price action

Body, wicks, close location, engulfing candles, pin bars, momentum, rejection, and retests.

Participation and context

Relative volume, VWAP, volume profile, ATR distance, weekly and monthly context, and the order book when available.

The displayed percentage answers: “Given the indicated zone, its history, and current technical conditions, what is the estimated probability of a breakout?” The balance to 100% represents the estimate that the zone will hold in that context.

This is not a guaranteed scientific probability. It is a rule-based technical score derived from observable data. News, liquidity, gaps, provider failures, and sudden regime changes can quickly invalidate the scenario.

6. What changes when the timeframe changes

The timeframe selector changes how the chart and current move are displayed. A five-minute chart shows more detail and noise; a weekly chart condenses price movement. The primary zones and the defense/breakout count, however, remain anchored to daily history.

  • A zone does not cease to exist because the user selects a smaller or larger timeframe.
  • The displayed candle may provide intraday context, but it does not reclassify daily history before the daily close.
  • Weekly and monthly timeframes provide higher-timeframe context and confluence; they do not replace the daily rule.
  • An open daily candle may influence the current reading, but it enters historical defense or breakout counts only after it closes.

7. Important limitations

Analysis depends on the quality and quantity of available data. Assets with short histories, low liquidity, or few zone interactions produce smaller samples. Values may differ from other platforms because of the data source, market hours, corporate actions, candle aggregation, and liquidity differences.

The system does not execute orders and does not know the user’s portfolio, goals, or risk tolerance. Every decision should include independent confirmation, risk management, and the possibility of loss.