High-probability intraday mean reversion capturing liquidity exhaustion outside session standard deviation bands
Best deployed during low-to-medium volatility consolidation regimes, typically observed during European afternoon sessions or range-bound Asian/London overlaps. Avoid high-impact macroeconomic news releases (NFP, CPI, Central Bank rate decisions) within a 45-minute window. Spreads must be tight (under 1.2 pips on EURUSD) to preserve expected value on multi-target execution.
Validate every condition prior to executing order.
At 08:30 UTC, EURUSD pushed aggressively higher on low volume, overextending past the +2 SD band. M30 ADX was at 18.5. The next 5-minute candle printed an upper wick reaching 1.08580 before closing back inside at 1.08550. A short order was executed with SL at 1.08700. Price smoothly reverted to the central VWAP for a 50% partial at +1.5R and continued down to the -1 SD band for full target completion.
GBPUSD crossed above the +2 SD band following minor European data releases. A rejection candle appeared, prompting a short entry at 1.26800 with a stop loss at 1.26980. However, unannounced cross-flow institutional buying sustained the momentum, causing M30 ADX to spike above 25 mid-move. Price continued upward and hit the stop loss. The daily loss circuit breaker triggered immediately, protecting account capital from further degradation.
Copy code directly into TradingView Pine Editor
//@version=5
strategy('Anchored VWAP Mean Reversion Strategy', overlay=true, initial_capital=10000, default_qty_type=strategy.percent_of_equity, default_qty_value=1)
// Inputs
sessionStart = input.time(timestamp('2023-01-01 07:00 +0000'), 'Session Anchor Time (UTC)')
adxLen = input.int(14, 'M30 ADX Length')
adxMax = input.float(22.0, 'Max M30 ADX for Range')
adxStopOut = input.float(25.0, 'ADX Circuit Breaker Threshold')
stdDevMultiplier = input.float(2.0, 'SD Band Multiplier')
slOffset = input.float(0.5, 'SL Extra SD Offset')
// Time & Session Logic
isNewSession = ta.change(time('D')) != 0
// VWAP and Standard Deviation Calculation anchored at session start
var float sum_pv = 0.0
var float sum_v = 0.0
var float sum_p2v = 0.0
if (time >= sessionStart and isNewSession)
sum_pv := hlcc4 * volume
sum_v := volume
sum_p2v := math.pow(hlcc4, 2) * volume
else if (time >= sessionStart)
sum_pv += hlcc4 * volume
sum_v += volume
sum_p2v += math.pow(hlcc4, 2) * volume
vwapValue = sum_v > 0 ? sum_pv / sum_v : hlcc4
variance = sum_v > 0 ? (sum_p2v / sum_v) - math.pow(vwapValue, 2) : 0.0
stDev = variance > 0 ? math.sqrt(variance) : 0.0
upperBand = vwapValue + (stDev * stdDevMultiplier)
lowerBand = vwapValue - (stDev * stdDevMultiplier)
upperSLBand = vwapValue + (stDev * (stdDevMultiplier + slOffset))
lowerSLBand = vwapValue - (stDev * (stdDevMultiplier + slOffset))
// Higher Timeframe (M30) ADX Filter via request.security
[_, _, m30Adx] = request.security(syminfo.tickerid, '30', ta.dmi(adxLen, adxLen))
// Entry Conditions
isRanging = m30Adx < adxMax
isCircuitBroken = m30Adx > adxStopOut
shortCondition = isRanging and not isCircuitBroken and (high[1] > upperBand[1]) and (close < upperBand)
longCondition = isRanging and not isCircuitBroken and (low[1] < lowerBand[1]) and (close > lowerBand)
// Strategy Execution
var int dailyLosses = 0
var int lastTradeDay = na
if (ta.change(time('D')) != 0)
dailyLosses := 0
if (strategy.closedtrades > 0 and ta.change(strategy.closedtrades) != 0)
if (strategy.closedtrades.profit(strategy.closedtrades - 1) < 0)
dailyLosses += 1
canTrade = dailyLosses < 2 and not isCircuitBroken
if (canTrade)
if (shortCondition)
strategy.entry('Short', strategy.short)
strategy.exit('Exit Short', 'Short', stop=upperSLBand, limit=vwapValue)
if (longCondition)
strategy.entry('Long', strategy.long)
strategy.exit('Exit Long', 'Long', stop=lowerSLBand, limit=vwapValue)
// Plotting
plot(vwapValue, title='Anchored VWAP', color=color.blue, linewidth=2)
pPlt = plot(upperBand, title='+2 SD Band', color=color.red)
mPlt = plot(lowerBand, title='-2 SD Band', color=color.green)
fill(pPlt, mPlt, color=color.new(color.gray, 90), title='VWAP Band Channel')
07:00 UTC marks the official London open, which is when European institutional liquidity enters the market and sets the primary liquidity boundaries for the morning session.
The strategy includes an emergency circuit breaker. If ADX exceeds 25, market regime has shifted from ranging to trending, and active trades should be managed manually or closed to avoid runaway losses.
While mathematically possible, crypto assets exhibit different intraday volume profiles and higher structural volatility, which can produce false breakouts at standard deviation bands. It is optimized strictly for major FX pairs.
The core edge of the Anchored VWAP Mean Reversion Strategy model relies on the structural imbalance created when large market participants (commercial banks, liquidity providers, and central clearing desks) aggregate retail stop orders. Rather than anticipating trend continuation from arbitrary retail indicators, this systematic model identifies pre-existing liquidity pools—such as session highs/lows, Asian range extremes, or equal highs/lows (EQH/EQL)—where retail stop losses are heavily clustered.
Once a targeted liquidity sweep occurs and price aggressively rejects back inside the defined equilibrium range, an order flow displacement is confirmed through a Market Structure Break (MSB) or Change of Character (CHoCH). This sequence establishes asymmetric risk-to-reward parameters, allowing traders to enter with tight structural stops positioned outside the invalidated sweep candle.
Higher timeframe (H4/Daily) structural bias must always govern lower timeframe (M15/M5/M1) execution. Trading with the prevailing institutional order flow drastically reduces whipsaws during choppy session opens.
Always factor in spread expansion during high-impact news releases (CPI, NFP, FOMC) and daily 5:00 PM EST session rollover. Never enter within 15 minutes before Tier-1 macroeconomic events.
Move stop loss to break-even once price reaches 1.0R–1.5R target expansion or mitigates an opposing Fair Value Gap (FVG), neutralizing risk on active positions.
To successfully navigate proprietary trading evaluation stages without breaching maximum daily drawdown (typically 4%–5%) or maximum overall loss limits (8%–10%), this model must be deployed with disciplined position sizing:
On a $100,000 challenge account, limit single trade exposure to $500. This ensures you can survive a theoretical 6-trade drawdown streak while consuming less than 3% of your daily buffer.
If two consecutive setups trigger stop-loss invalidations within the same trading session, trading must be suspended for the remainder of that session to avoid revenge trading and emotional capital destruction.
Discretionary traders can execute this system manually using our pre-trade checklist above, while quantitative and algorithmic traders can deploy the Pine Script logic or connect directly to automated trading software:
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Quant Note: Backtest assumes 0.6 pip average spread on EURUSD and 0.9 pip on GBPUSD. Performance drops significantly if traded outside the specified M30 ADX threshold.
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