Calculators
Support & Resistance
Enter the prior session’s high, low, and close to compute the classic pivot point and S/R bands.
Results
Awaiting inputEnter prices on the left and click Calculate to see the pivot point and S/R bands here.
Support & Resistance — A Practical Guide
EducationalWhat are they?
Support is a floor where buyers step in. Resistance is a ceiling where sellers emerge. They help spot reversals and breakouts.
Why they matter
- Plan entries/exits near key levels
- Place smarter stop-losses
- Read trend continuation vs. failure
How calculators find levels
- Classic Pivot Points (H/L/C)
- Dynamic Moving Averages
- Fibonacci retracements
Excel setup
Inputs: High, Low, Close of the period.
Pivot (P) | (High + Low + Close) / 3 |
---|---|
R1 | (2 × P) − Low |
R2 | P + (High − Low) |
S1 | (2 × P) − High |
S2 | P − (High − Low) |
Worked example (NSE)
Inputs: High = 500, Low = 450, Close = 480 → P = 476.67
Pivot (P)
476.67
R1
503.33
R2
526.67
S1
453.33
S2
426.67
Trading playbook
Three common ways traders use levels in day-to-swing setups:
Range trading
Buy near support, take profits near resistance; fade the extremes while the range holds.
Breakout confirmation
Enter on strong break and hold above resistance; look for volume/RSI confirmation.
Risk control
Place stops just beyond the level you’re leaning on; reevaluate if reclaimed decisively.
Benefits
- Objective reference points (less emotion)
- Fast, repeatable calculations
- Cleaner stop placement and position sizing
Not just for stocks
- Forex: time entries on volatile pairs
- Commodities: manage swings in gold/crude
- Crypto: structure trades in high-volatility regimes
Common mistakes to avoid
- Ignoring trend, volume, and news context
- Treating levels as static—update as price evolves
- Relying only on history—blend with real-time signals
Backtesting & next steps
Validate rules around bounces, breaks, and retests using historical data before going live. Pair S/R with volume, momentum, or market breadth for higher-quality signals.
Bottom line
Quantify key zones, manage risk, and make more disciplined decisions in any market regime.