by 
This overlay strategy plots previous-day high and low, the daily open, and fair value gap zones on the price chart. It takes entries on a selectable timeframe when the FVG requirement and an optional session window allow them, then uses an ATR or fixed pip sto
Strategy · Pine Script v5 · On the chart
EQH/EQL Sweep
This strategy detects equal highs and equal lows from swing pivots when two pivots sit within an ATR tolerance.
Repaints
GitHub stars7on the repository
Pine versionv5runs as is
Lines of code41
Settings2inputs
LicenceMIT
Last update3 months ago8 Jul 2026
Add It to Your TradingView Chart
- 1Copy the scriptPress Copy script above, or the copy button on the code below.
- 2Open the Pine EditorOpen a TradingView chart and choose Pine Editor at the bottom of the screen.
- 3Paste over the templateCreate a new strategy, select all of the template text and paste. Press Save and give it a name.
- 4Add it to the chartPress Add to chart. The trades and results appear in the Strategy Tester tab; adjust the settings with the gear icon.
Source Code
41 lines of Pine Script v5 from public/code/smc__eq_sweep.pine, published under MIT. Keep the author's credit and licence lines when you reuse it.
//@version=5
strategy("EQH/EQL Sweep", overlay=true,
default_qty_type=strategy.percent_of_equity, default_qty_value=10)
swingLb = input.int(5, "Swing LB")
tolMult = input.float(0.15, "Tolerance ATR")
atrVal = ta.atr(14)
tol = atrVal * tolMult
ph = ta.pivothigh(swingLb, swingLb)
pl = ta.pivotlow(swingLb, swingLb)
var float h1 = na, var float h2 = na
var float l1 = na, var float l2 = na
if not na(ph)
h2 := h1, h1 := ph
if not na(pl)
l2 := l1, l1 := pl
eqh = not na(h1) and not na(h2) and math.abs(h1 - h2) <= tol ? math.max(h1, h2) : na
eql = not na(l1) and not na(l2) and math.abs(l1 - l2) <= tol ? math.min(l1, l2) : na
longSweep = not na(eql) and low[1] < eql and close[1] > eql and close > open
shortSweep = not na(eqh) and high[1] > eqh and close[1] < eqh and close < open
if longSweep and strategy.position_size == 0
sl = low[1] - 0.3 * atrVal
risk = close - sl
strategy.entry("EQ Long", strategy.long)
strategy.exit("X", "EQ Long", stop=sl, limit=close + risk * 3)
if shortSweep and strategy.position_size == 0
sl = high[1] + 0.3 * atrVal
risk = sl - close
strategy.entry("EQ Short", strategy.short)
strategy.exit("X", "EQ Short", stop=sl, limit=close - risk * 3)
plot(eqh, "EQH", color.red, 2, plot.style_circles)
plot(eql, "EQL", color.green, 2, plot.style_circles)
plotshape(longSweep, "L", shape.triangleup, location.belowbar, color.lime)
plotshape(shortSweep, "S", shape.triangledown, location.abovebar, color.red)
Overview
A long entry follows a wick below an equal low that closes back above it on a bullish bar; a short entry follows a wick above an equal high that closes back below it on a bearish bar. It enters only when flat, sizing at ten percent of equity, with an ATR stop beyond the sweep and a take profit at three times risk. Equal levels and triangles plot on the price chart. Signals can change before the live bar closes.
- Equal high and equal low pivot matching
- ATR-based level tolerance
- Sweep entries with directional close filter
- ATR stop and three-times-risk take profit
- Overlay circles and triangle signals
Details
Published by
muammeryldrm42 on GitHub
Type
Strategy, Pine Script v5
Draws
On the price chart
Category
SMC / ICT / price action, Support & resistance
Markets
Any symbol
Timeframes
Any timeframe
Risk Notes
- Signals can change on the live bar or after it closes (repainting)
Topics
cryptofuturessodexsosovaluestrategyvaluechain
Settings
The inputs you can change from the gear icon on the chart. Defaults are the author's.
| Setting | Type | Default | Variable |
|---|---|---|---|
| Swing LB | int | 5 | swingLb |
| Tolerance ATR | float | 0.15 | tolMult |
Third-party code. ForexR did not write, test or endorse this script, and the summary above was generated automatically from its code and README. Indicators describe the past, and a strategy's backtest can look better than live trading, especially when a script repaints. Check it in the Strategy Tester and on a demo account before you rely on it.
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