Support & Resistance maps price zones where the market has repeatedly reacted, clustered with dynamic ATR tolerance instead of single exact lines.
On PEPS Crypto the tool is built into the dashboard with automatically refreshed data — use filters, rankings and linked tools to validate every signal before acting.
What is this tool?
Support & Resistance maps price zones where the market has repeatedly reacted, clustered with dynamic ATR tolerance instead of single exact lines.
Pick a symbol and timeframe (4H or 1D). Zones are recalculated from pivot highs/lows over the lookback window.
Each zone shows center, low and high boundaries — treat them as areas, not pin-point prices.
How to read the results
Each zone shows center, low and high boundaries — treat them as areas, not pin-point prices.
Touches count how often price tested the zone; higher touches usually mean a more respected level.
Distance is how far the current price sits from the zone center — nearest zones matter most for immediate planning.
Score blends touches, recency and proximity to rank the most relevant supports and resistances.
Key signals and metrics
Touches count how often price tested the zone; higher touches usually mean a more respected level.
Distance is how far the current price sits from the zone center — nearest zones matter most for immediate planning.
Score blends touches, recency and proximity to rank the most relevant supports and resistances.
Advanced usage and combinations
A zone can break after many touches — volume and candle close matter more than the touch count alone.
Use 4H for tactical levels and 1D for structural context; conflicting zones across timeframes are normal.
Tolerance widens in volatile markets (ATR-based) — do not expect reactions at the exact center every time.
Using this tool on PEPS Crypto
Pick a symbol and timeframe (4H or 1D). Zones are recalculated from pivot highs/lows over the lookback window.
Each zone shows center, low and high boundaries — treat them as areas, not pin-point prices.
A zone can break after many touches — volume and candle close matter more than the touch count alone.
Open the full guide from the link next to the tool for FAQs and best practices.
How it works
- Pick a symbol and timeframe (4H or 1D). Zones are recalculated from pivot highs/lows over the lookback window.
- Each zone shows center, low and high boundaries — treat them as areas, not pin-point prices.
- Touches count how often price tested the zone; higher touches usually mean a more respected level.
- Distance is how far the current price sits from the zone center — nearest zones matter most for immediate planning.
- Score blends touches, recency and proximity to rank the most relevant supports and resistances.
What to consider
- A zone can break after many touches — volume and candle close matter more than the touch count alone.
- Use 4H for tactical levels and 1D for structural context; conflicting zones across timeframes are normal.
- Tolerance widens in volatile markets (ATR-based) — do not expect reactions at the exact center every time.
- Combine with Trend Following or Breakout Scanner to see whether price is trending into or rejecting a zone.
- Zones are descriptive, not predictive — they highlight where to watch, not guaranteed reversal points.
Frequently asked questions
- How reliable are the signals from this tool?
- Treat every reading as a hypothesis. Strong setups usually agree across multiple rows, timeframes or linked PEPS engines — not from a single highlighted value alone.
- Is this tool suitable for beginners?
- Yes. Start with one symbol or one ranked row, read the labels and confirmation panels, then open linked tools before sizing a live position.
- How often is the data updated?
- Refresh cadence depends on the engine — many trading scanners update every few minutes; on-chain and mining feeds may run on hourly timers. Check the Updated timestamp on the tool page.
Conclusion
A zone can break after many touches — volume and candle close matter more than the touch count alone.
Use 4H for tactical levels and 1D for structural context; conflicting zones across timeframes are normal.