
You know what? Thereâs a group of âsmart moneyâ in the market that loves setting traps at key levels! This strategy works like an experienced hunter, specifically identifying these traps and trading in reverse. Simply put, when price deliberately âfakes outâ important support/resistance levels and quickly snaps back, we follow the big moneyâs rhythm!
Key point! This strategy uses three layers of protection:
đ¸ Trend Filter: 200-period EMA acts like an experienced driver, telling you whether youâre on an uphill or downhill road
đ¸ Key Level Identification: Automatically finds those âstrategically importantâ support and resistance zones
đ¸ Liquidity Sweep Detection: Catches the deliberate âfake movesâ created by big money
Itâs like fishing - you need to know where the fish are, what bait to use, and when to reel in!
Imagine this: youâre queuing for bubble tea when someone suddenly shouts âFree drinks!â Everyone rushes over, only to find itâs fake, but smart people have already cut to the front of the line.
Markets work the same way! Price first âpretendsâ to break below support (sweeping stop losses), then quickly recovers - thatâs the perfect entry moment. The strategy sets a 0.6x ATR buffer to ensure itâs truly a âsweepâ and not a real breakout.
Pitfall Guide: Many traders are like driving without seatbelts - this strategy enforces a mandatory 1:2 risk-reward ratio!
This strategy works best on 15-minute gold charts. Why? Because gold markets have good liquidity, obvious fake breakout patterns, and the 15-minute timeframe filters out excessive noise.
Remember: donât be greedy! The strategy finds you good positions - leave the rest to the market and time!
/*backtest
start: 2025-10-06 00:00:00
end: 2025-11-05 00:00:00
period: 1h
basePeriod: 1h
exchanges: [{"eid":"Futures_Binance","currency":"BTC_USDT"}]
*/
//@version=6
strategy("Gold 15m: Trend + S/R + Liquidity Sweep (RR 1:2)", overlay=true, default_qty_type=strategy.fixed, default_qty_value=1, commission_type=strategy.commission.percent, commission_value=0.0)
// ---------------------- INPUTS ----------------------
symbol_input = input.string(title="Symbol (for reference only)", defval="XAUUSD")
tf_note = input.timeframe(title="Intended timeframe", defval="15")
ema_len = input.int(200, "Trend EMA length", minval=50)
pivot_left = input.int(5, "Pivot left bars", minval=1)
pivot_right = input.int(5, "Pivot right bars", minval=1)
sweep_atr_mult = input.float(0.6, "Liquidity sweep buffer (ATR Ă)", step=0.1)
sl_atr_mult = input.float(0.5, "SL buffer beyond pivot (ATR Ă)", step=0.1)
min_sweep_bars = input.int(1, "Max bars between sweep and reclaim", minval=1)
use_only_trend = input.bool(true, "Only trade with trend (EMA filter)")
rr = input.float(2.0, "Reward/Risk (TP = RR Ă Risk)", minval=1.0, step=0.1)
enable_long = input.bool(true, "Enable Longs")
enable_short = input.bool(true, "Enable Shorts")
show_zones = input.bool(true, "Plot pivots / zones")
// ---------------------- INDICATORS ----------------------
ema_trend = ta.ema(close, ema_len)
atr = ta.atr(14)
// ---------------------- PIVOT S/R DETECTION ----------------------
// Using builtin pivots: returns price of pivot when formed, else na
ph = ta.pivothigh(high, pivot_left, pivot_right)
pl = ta.pivotlow(low, pivot_left, pivot_right)
// We'll track last confirmed pivot prices and bar index
var float lastPivotHigh = na
var int lastPivotHighBar = na
var float lastPivotLow = na
var int lastPivotLowBar = na
if not na(ph)
lastPivotHigh := ph
lastPivotHighBar := bar_index - pivot_right
if not na(pl)
lastPivotLow := pl
lastPivotLowBar := bar_index - pivot_right
// ---------------------- LIQUIDITY SWEEP DETECTION ----------------------
// For a bullish liquidity sweep (buy):
// 1) Price makes a new low wick below lastPivotLow - (atr * sweep_atr_mult) (sweep candle)
// 2) Within `min_sweep_bars` the price reclaims: close > lastPivotLow => bullish signal
var int sweepLowBar = na
var int sweepHighBar = na
// detect sweep down (wick pierce)
isSweepDown = false
if not na(lastPivotLow)
// a candle with low sufficiently below pivot
isSweepDown := low < (lastPivotLow - atr * sweep_atr_mult)
// detect sweep up (wick pierce)
isSweepUp = false
if not na(lastPivotHigh)
isSweepUp := high > (lastPivotHigh + atr * sweep_atr_mult)
// record bar of sweep
if isSweepDown
sweepLowBar := bar_index
if isSweepUp
sweepHighBar := bar_index
// check reclaim after sweep: close back above pivot (buy reclaim) or close back below pivot (sell reclaim)
// ensure reclaim happens within `min_sweep_bars` bars after sweep
bullReclaim = false
bearReclaim = false
if not na(lastPivotLow) and not na(sweepLowBar)
if (bar_index - sweepLowBar) <= min_sweep_bars and close > lastPivotLow
bullReclaim := true
if not na(lastPivotHigh) and not na(sweepHighBar)
if (bar_index - sweepHighBar) <= min_sweep_bars and close < lastPivotHigh
bearReclaim := true
// ---------------------- TREND FILTER ----------------------
in_uptrend = close > ema_trend
in_downtrend = close < ema_trend
// final entry conditions
longCondition = enable_long and bullReclaim and (not use_only_trend or in_uptrend)
shortCondition = enable_short and bearReclaim and (not use_only_trend or in_downtrend)
// Note: variable name required by Pine, we set from input
use_only_trend := use_only_trend // no-op to fix linter if needed
// ---------------------- ORDER EXECUTION & SL/TP CALC ----------------------
var int tradeId = 0
// For buy: SL = lastPivotLow - (atr * sl_atr_mult)
// risk = entry - SL
// TP = entry + rr * risk
if longCondition
// compute SL and TP
sl_price = lastPivotLow - atr * sl_atr_mult
entry_price = close
risk_amt = entry_price - sl_price
tp_price = entry_price + (risk_amt * rr)
// safety: only place trade if positive distances
if risk_amt > 0 and tp_price > entry_price
tradeId += 1
// send entry and exit with stop & limit
strategy.entry("Long_"+str.tostring(tradeId), strategy.long)
strategy.exit("ExitLong_"+str.tostring(tradeId), from_entry="Long_"+str.tostring(tradeId), stop=sl_price, limit=tp_price)
// For sell: SL = lastPivotHigh + (atr * sl_atr_mult)
// risk = SL - entry
// TP = entry - rr * risk
if shortCondition
sl_price_s = lastPivotHigh + atr * sl_atr_mult
entry_price_s = close
risk_amt_s = sl_price_s - entry_price_s
tp_price_s = entry_price_s - (risk_amt_s * rr)
if risk_amt_s > 0 and tp_price_s < entry_price_s
tradeId += 1
strategy.entry("Short_"+str.tostring(tradeId), strategy.short)
strategy.exit("ExitShort_"+str.tostring(tradeId), from_entry="Short_"+str.tostring(tradeId), stop=sl_price_s, limit=tp_price_s)
// ---------------------- PLOTTING ----------------------
// EMA (trend)
plot(ema_trend, title="EMA Trend", linewidth=2)
// arrows and markers for entries
plotshape(longCondition, title="Buy Signal", location=location.belowbar, style=shape.labelup, text="BUY", textcolor=color.white, size=size.tiny, color=color.green)
plotshape(shortCondition, title="Sell Signal", location=location.abovebar, style=shape.labeldown, text="SELL", textcolor=color.white, size=size.tiny, color=color.red)
// plot last SL/TP lines for last trade (visual reference)
// find last open position and plot currently active SL/TP if any
if strategy.position_size > 0
last_sl = strategy.position_avg_price - (strategy.position_avg_price - (lastPivotLow - atr * sl_atr_mult))
// instead use exit order price from last exit? Simpler: plot SL/TP computed earlier if long
// This may plot approximate lines; TradingView native order lines will also display.
// We skip redundant plotting to avoid confusion.