OPTIMAL super trend tripple confirm for leverage. Ai implemented for higher r:r still a work in progresss
مؤشرات اتساع النطاق
Gamma Blast StrategyGamma Blast Strategy used for quick 2-5 ticks on Buys, but on a sideways market can get up to 15-20 ticks.
Impulse Momentum Scalper⚡ Impulse Momentum Scalper: Catch the Wave of Big Moves
Tired of guessing when a trend is about to explode? Stop chasing and start catching the first wave with Impulse Momentum Scalper.
This isn't just another indicator repaint. This is a sophisticated strategy engine designed to identify the critical moment when surge in volume and expanding volatility converge within a strong trend, signaling the start of a powerful momentum move.
We don't predict. We react to the market's own footprint.
How It Works: The Triple-Filter System
THE TREND (The Highway): A simple EMA filter ensures you only trade in the direction of the dominant trend. Why swim against the current?
THE VOLUME (The Fuel): The strategy waits for an explosive volume surge—signaling strong institutional or crowd interest—before even considering an entry. No volume, no trade.
THE IMPULSE (The Trigger): It then scans for a significant expansion in volatility, indicating the market is breaking out of its slumber and initiating a new impulsive wave.
When all three elements align, the strategy provides a clear, non-repainting signal to enter.
Key Features & Advantages:
🛡️ Built-In Smart Risk Management: Every trade includes a dynamic Stop-Loss and Take-Profit based on Average True Range (ATR), adapting your risk to the market's current volatility.
🎯 High-Probability Signals: By combining three proven concepts (Trend, Volume, Volatility), it filters out market noise and aims for only the highest-quality setups.
⏰ Perfect for Scalpers & Swing Traders: While designed for quick, impulsive moves, the logic is effective on multiple timeframes (try 5m for scalping or 1H for swings).
🔔 One-Click Alerts: Includes pre-configured alert conditions so you never miss a signal, even if you're away from your charts.
Disclaimer: This script is a strategy, not financial advice. Past performance is not indicative of future results. Always backtest and forward-test any strategy in a risk-controlled environment before committing real capital.
Ready to trade the impulse? Add the strategy to your chart and see the signals in real-time!
🚀⚠️ Aggressive + Confirmed Long Strategy (v2)//@version=5
strategy("🚀⚠️ Aggressive + Confirmed Long Strategy (v2)",
overlay=true,
pyramiding=0,
initial_capital=10000,
default_qty_type=strategy.percent_of_equity,
default_qty_value=10, // % of equity per trade
commission_type=strategy.commission.percent,
commission_value=0.05)
// ========= Inputs =========
lenRSI = input.int(14, "RSI Length")
lenSMA1 = input.int(20, "SMA 20")
lenSMA2 = input.int(50, "SMA 50")
lenBB = input.int(20, "Bollinger Length")
multBB = input.float(2, "Bollinger Multiplier", step=0.1)
volLen = input.int(20, "Volume MA Length")
smaBuffP = input.float(1.0, "Margin above SMA50 (%)", step=0.1)
confirmOnClose = input.bool(true, "Confirm signals only after candle close")
useEarly = input.bool(true, "Allow Early entries")
// Risk
atrLen = input.int(14, "ATR Length", minval=1)
slATR = input.float(2.0, "Stop = ATR *", step=0.1)
tpRR = input.float(2.0, "Take-Profit RR (TP = SL * RR)", step=0.1)
useTrail = input.bool(false, "Use Trailing Stop instead of fixed SL/TP")
trailATR = input.float(2.5, "Trailing Stop = ATR *", step=0.1)
moveToBE = input.bool(true, "Move SL to breakeven at 1R TP")
// ========= Indicators =========
// MAs
sma20 = ta.sma(close, lenSMA1)
sma50 = ta.sma(close, lenSMA2)
// RSI
rsi = ta.rsi(close, lenRSI)
rsiEarly = rsi > 45 and rsi < 55
rsiStrong = rsi > 55
// MACD
= ta.macd(close, 12, 26, 9)
macdCross = ta.crossover(macdLine, signalLine)
macdEarly = macdCross and macdLine < 0
macdStrong = macdCross and macdLine > 0
// Bollinger
= ta.bb(close, lenBB, multBB)
bollBreakout = close > bbUpper
// Candle & Volume
bullishCandle = close > open
volCondition = volume > ta.sma(volume, volLen)
// Price vs MAs
smaCondition = close > sma20 and close > sma50 and close > sma50 * (1 + smaBuffP/100.0)
// Confirm-on-close helper
useSignal(cond) =>
confirmOnClose ? (cond and barstate.isconfirmed) : cond
// Entries
confirmedEntry = useSignal(rsiStrong and macdStrong and bollBreakout and bullishCandle and volCondition and smaCondition)
earlyEntry = useSignal(rsiEarly and macdEarly and close > sma20 and bullishCandle) and not confirmedEntry
longSignal = confirmedEntry or (useEarly and earlyEntry)
// ========= Risk Mgmt =========
atr = ta.atr(atrLen)
slPrice = close - atr * slATR
tpPrice = close + (close - slPrice) * tpRR
trailPts = atr * trailATR
// ========= Orders =========
if strategy.position_size == 0 and longSignal
strategy.entry("Long", strategy.long)
if strategy.position_size > 0
if useTrail
// Trailing Stop
strategy.exit("Exit", "Long", trail_points=trailPts, trail_offset=trailPts)
else
// Normal SL/TP
strategy.exit("Exit", "Long", stop=slPrice, limit=tpPrice)
// Move SL to breakeven when TP1 hit
if moveToBE and high >= tpPrice
strategy.exit("BE", "Long", stop=strategy.position_avg_price)
// ========= Plots =========
plot(sma20, title="SMA 20", color=color.orange, linewidth=2)
plot(sma50, title="SMA 50", color=color.new(color.blue, 0), linewidth=2)
plot(bbUpper, title="BB Upper", color=color.new(color.fuchsia, 0))
plot(bbBasis, title="BB Basis", color=color.new(color.gray, 50))
plot(bbLower, title="BB Lower", color=color.new(color.fuchsia, 0))
plotshape(confirmedEntry, title="🚀 Confirmed", location=location.belowbar,
color=color.green, style=shape.labelup, text="🚀", size=size.tiny)
plotshape(earlyEntry, title="⚠️ Early", location=location.belowbar,
color=color.orange, style=shape.labelup, text="⚠️", size=size.tiny)
// ========= Alerts =========
alertcondition(confirmedEntry, title="🚀 Confirmed Entry", message="🚀 {{ticker}} confirmed entry on {{interval}}")
alertcondition(earlyEntry, title="⚠️ Early Entry", message="⚠️ {{ticker}} early entry on {{interval}}")
Breadth Strategy: McClellan + ADn (with EMA Exit)This script uses only McClellan Oscillator + ADn Line, exactly as you specified.
Runs breadth calculations on daily timeframe by default (tf = D). You can change to weekly, etc.
Entries/exits are instant when conditions flip.
Both mcoWS and ADn are plotted for visualization.
Breadth Strategy: McClellan + ADnThis script uses only McClellan Oscillator + ADn Line, exactly as you specified.
Runs breadth calculations on daily timeframe by default (tf = D). You can change to weekly, etc.
Entries/exits are instant when conditions flip.
Both mcoWS and ADn are plotted for visualization.
Quarterly-Inspired EMA Swing Strategy🚀 Quarterly EMA Strategy: Simplified
This strategy uses quarterly trends and pullbacks to EMAs (Exponential Moving Averages) to buy low and sell high in strong uptrends (longs) or short weak stocks in strong downtrends.
⸻
🔧 Core Setup
• Timeframe: Quarterly (1 candle = 3 months or ~65 trading days).
• Stocks: Liquid NSE F&O stocks (e.g., Reliance, Bajaj Finance, Tata Motors, etc.).
• Indicators Used:
• 10-quarter EMA → Shorter-term trend.
• 21-quarter EMA → Long-term trend.
• 13-week EMA → Weekly confirmation.
• ATR → For stop-loss.
• VIX → Volatility control.
• Relative Strength vs Nifty → Filter strong/weak stocks.
⸻
🟢 LONG SETUP (Buy on Pullback in Uptrend)
✅ Conditions:
1. Quarterly Trend is Bullish
Price > 10Q EMA > 21Q EMA
2. Pullback Happens
Price closes within 3% of 10Q or 21Q EMA, or touches it and bounces.
• E.g., Stock close = 8200, 10Q EMA = 8000 → Pullback = Valid (2.5% gap)
3. Previous Trend is Strong
• Last 1-2 quarters were making higher highs OR closing well above 10Q EMA
4. Candle Shows Rejection
• Lower wick (buying pressure from EMA)
• Small body (<5% total candle range)
5. Market Support Filters
• Nifty > its 4-quarter EMA (sloping upward)
• India VIX < 20 (low panic)
• Stock’s last 2 quarters’ return > 1.1× Nifty’s return
6. Weekly Confirmation
• Price > 13-week EMA
• 13W EMA is rising
• Bullish pattern in last 2 candles
• Volume ≥ 75% of 20-week average
⸻
📈 Example (Bajaj Finance):
• Close: 8200,
• 10Q EMA: 8000 (bullish),
• 21Q EMA: 7800
• Weekly price > 13W EMA → Confirmation ✅
⸻
🎯 Trade Plan (Long):
• Entry: 8200 (Quarterly) or near 13W EMA (Weekly)
• Stop-Loss: 2× ATR below 21Q EMA or candle low
• Target: 2:1 reward
• Exit 1: Book 50% at target
• Exit 2: Trail 21Q EMA
• Optional Hedge: Buy Nifty PUT if VIX > 15
⸻
🔴 SHORT SETUP (Sell on Pullback in Downtrend)
✅ Conditions:
1. Quarterly Trend is Bearish
Price < 10Q EMA < 21Q EMA
2. Pullback to EMA
Price closes within 3% of 10Q or 21Q EMA, or touches and gets rejected
3. Prior Trend is Down
Last 1-2 quarters had lower lows or closing >5% below 10Q EMA
4. Bearish Candle Setup
• Upper wick (rejection from EMA)
• Small body
5. Market Support Filters
• Nifty < its 4-quarter EMA (sloping down)
• India VIX < 20
• Stock’s 2-quarter return < 0.9× Nifty’s return
6. Weekly Confirmation
• Price < 13-week EMA
• 13W EMA is falling
• Bearish candles (engulfing, lower highs)
• Volume ≥ 75% of 20-week average
⸻
📉 Example (Vodafone Idea):
• Close: ₹8
• 10Q EMA: ₹8.2 → Close is 2.5% below
• Weekly close < 13W EMA
• Bearish candle → Confirmation ✅
⸻
🔻 Trade Plan (Short):
• Entry: 8
• Stop-Loss: 2× ATR above 21Q EMA or candle high
• Target: 2:1 reward
• Exit 1: Book 50% at target
• Exit 2: Trail 21Q EMA
• Optional Hedge: Buy Nifty CALL if VIX > 15
⸻
📊 Position Sizing (Same for Long & Short):
• Risk per trade: 0.5–1% of total capital
• Example:
• Capital = ₹10 lakh
• Risk = ₹10,000
• Stop = 800 points → Buy 12 shares
⸻
✅ Exit Rules Summary
Setup Cripto EMA + Volume//@version=5 indicator("Sinais Multi-Cripto – EMA+Volume (BTC/ETH/BNB/SOL/XRP)", overlay=false)
// Inputs emaFast = input.int(50, "EMA Curta") emaSlow = input.int(200, "EMA Longa") emaPull = input.int(20, "EMA Pullback") volLen = input.int(20, "Média Volume")
symBTC = input.symbol(defval="BINANCE:BTCUSDT", title="BTC") symETH = input.symbol(defval="BINANCE:ETHUSDT", title="ETH") symBNB = input.symbol(defval="BINANCE:BNBUSDT", title="BNB") symSOL = input.symbol(defval="BINANCE:SOLUSDT", title="SOL") symXRP = input.symbol(defval="BINANCE:XRPUSDT", title="XRP")
f_sig(sym) => c = request.security(sym, timeframe.period, close) v = request.security(sym, timeframe.period, volume) e50 = ta.ema(c, emaFast) e200 = ta.ema(c, emaSlow) e20 = ta.ema(c, emaPull) vma = ta.sma(v, volLen) long = (e50 > e200) and (c > e20) and (v > vma) short = (e50 < e200) and (c < e20) and (v > vma)
= f_sig(symBTC) = f_sig(symETH) = f_sig(symBNB) = f_sig(symSOL) = f_sig(symXRP)
// Exibição plotchar(btcL, title="BTC Long", char="▲", location=location.top) plotchar(btcS, title="BTC Short", char="▼", location=location.bottom) plotchar(ethL, title="ETH Long", char="▲", location=location.top) plotchar(ethS, title="ETH Short", char="▼", location=location.bottom) plotchar(bnbL, title="BNB Long", char="▲", location=location.top) plotchar(bnbS, title="BNB Short", char="▼", location=location.bottom) plotchar(solL, title="SOL Long", char="▲", location=location.top) plotchar(solS, title="SOL Short", char="▼", location=location.bottom) plotchar(xrpL, title="XRP Long", char="▲", location=location.top) plotchar(xrpS, title="XRP Short", char="▼", location=location.bottom)
Gold 5m — MACD 694 Strategy (with ADX/Bias + ATR Trailing)This is my sustain gold trade for trading gold 5m TF
Estrategy EURUSD M3 Scalping Estrategia para operar el EURUSD en temp de 3 min, indica sl y tp 6 pips sl y 10 pips tp
Twin Range Filter StrategyClarity Over Confusion: See price action through a全新的 lens. Watch as erratic, choppy movements are smoothed into a clear, actionable trajectory. The path of least resistance becomes obvious.
Confidence Over Hesitation: Receive high-probability entry and exit signals with a proven logic that waits for the market to commit before you do. No more second-guessing.
Discipline Over Emotion: Our algorithm enforces a systematic approach, helping you avoid emotional FOMO chasing and panic selling. Stick to the plan and execute with precision.
What Can You Expect?
Dynamic Adaptability: Unlike static indicators, continuously adapts to volatility. It widens its filter in turbulent markets to avoid whipsaws and tightens it in trending markets to capture more of the move.
The Power of Two: By synthesizing data from two distinct market perspectives, it confirms strength and filters out weakness, providing a confluence that standalone indicators simply cannot match.
Clean, Unambiguous Signals: We’ve eliminated the clutter. The software provides clear visual alerts (Green Arrows for Long, Red Arrows for Short) right on your chart, telling you exactly when the equilibrium has shifted.
Who is this for?
Swing Traders looking to capture the heart of a trend and avoid false breakouts.
Day Traders needing a reliable filter to navigate volatile intraday action.
Systematic Traders seeking a robust logic layer to add to their automated strategy.
Anyone overwhelmed by indicator overload and craving a single, trusted source of truth on their chart
Instant Breakout Strategy with RSI & VWAPInstant Breakout Strategy with RSI & VWAP
This TradingView strategy (Pine Script v6) trades breakouts using pivot points, with optional filters for volume, momentum, RSI, and VWAP. It’s optimized for the 1-second timeframe.
Overview
The strategy identifies breakouts when price crosses above resistance (pivot highs) or below support (pivot lows). It can use basic pivot breakouts or add filters for stronger signals. Take-profit and stop-loss levels are set using ATR, and signals are shown on the chart.
Inputs
Left/Right Pivot Bars: Bars to detect pivots (default: 3). Lower values increase sensitivity.
Volume Surge Multiplier: Volume threshold vs. 20-period average (default: 1.5).
Momentum Threshold: Minimum % price change from bar open (default: 1%).
Take-Profit ATR Multiplier: ATR multiplier for take-profit (default: 9.0).
Stop-Loss ATR Multiplier: ATR multiplier for stop-loss (default: 1.0).
Use Filters: Enable/disable volume, momentum, RSI, and VWAP filters (default: off).
How It Works
1. Pivot Detection
Finds pivot highs (resistance) and lows (support) using ta.pivothigh and ta.pivotlow.
Tracks the latest pivot levels.
2. Volume Surge
Compares current volume to a 20-period volume average.
A surge occurs if volume exceeds the average times the multiplier.
3. Momentum
Measures price change from the bar’s open.
Bullish: Price rises >1% from open.
Bearish: Price falls >1% from open.
4. RSI and VWAP
RSI: 3-period RSI. Above 50 is bullish; below 50 is bearish.
VWAP: Price above VWAP is bullish; below is bearish.
5. ATR
14-period ATR sets take-profit (close ± atr * 9.0) and stop-loss (close ± atr * 1.0).
Trading Rules
Breakout Conditions
Bullish Breakout:
Price crosses above the latest pivot high.
With filters: Volume surge, bullish momentum, RSI > 50, price > VWAP.
Without filters: Only the crossover is needed.
Bearish Breakout:
Price crosses below the latest pivot low.
With filters: Volume surge, bearish momentum, RSI < 50, price < VWAP.
Without filters: Only the crossunder is needed.
Entries and Exits
Long: Enter on bullish breakout. Set take-profit and stop-loss. Close any short position.
Short: Enter on bearish breakout. Set take-profit and stop-loss. Close any long position.
Visuals
Signals: Green triangles (bullish) below bars, red triangles (bearish) above bars.
Pivot Levels: Green line (resistance), red line (support).
Indicators: RSI (blue, separate pane), VWAP (purple, on chart).
How to Use
Apply to a 1-second chart in TradingView for best results.
Adjust inputs (e.g., pivot bars, multipliers). Enable filters for stricter signals.
Watch for buy/sell triangles and monitor RSI/VWAP.
Use ATR-based take-profit/stop-loss for risk management.
Notes
Best on 1-second timeframe due to fast RSI and responsiveness.
Disable filters for more signals (less confirmation).
Backtest before live trading to check performance.
This strategy uses pivots, volume, momentum, RSI, and VWAP for clear breakout trades on the 1-second timeframe.
Scott's DBOthis is a unique version of a daily breakout strategy, using custom signals, special handling of trading logic, and built to work with traders post for actual trading. Credit to: for the base indicator
Estrategia IBEX 35 OptimizadaEstrategia IBEX 35 Optimizada
Para utilizar en largo y corto ibex35 en timeframe 45 min
ROPSON AI Ultra 3.27 How It Takes a Long (Buy) Position
The code will only enter a long position when two conditions are met simultaneously. Both must be true for a buy signal to be generated:
The current candle's close price crosses above the previous candle's high. This is the breakout signal. It indicates strong upward momentum.
The current candle's close price is above the 200 EMA. This is the trend filter. The 200 EMA (Exponential Moving Average) is a widely used indicator for long-term trend. If the price is above it, the market is considered to be in an uptrend.
By requiring both conditions, the strategy aims to enter trades that have both short-term momentum (the breakout) and long-term trend confirmation (the EMA filter).
How It Takes a Short (Sell) Position
Similarly, a short position is only entered when both of these conditions are true at the same time:
The current candle's close price crosses below the previous candle's low. This is the breakdown signal, indicating strong downward momentum.
The current candle's close price is below the 200 EMA. This confirms that the market is in a downtrend.
Imbalance RSI Divergence Strategy# Imbalance RSI Divergence Strategy - User Guide
## What is This Strategy?
This strategy identifies **imbalance** zones in the market and combines them with **RSI divergence** to generate trading signals. It aims to capitalize on price gaps left by institutional investors and large volume movements.
### Main Settings
- **RSI Period (14)**: Period used for RSI calculation. Lower values = more sensitive, higher values = more stable signals.
- **ATR Period (10)**: Period for volatility measurement using Average True Range.
- **ATR Stop Loss Multiplier (2.0)**: How many ATR units to use for stop loss calculation.
- **Risk:Reward Ratio (4.0)**: Risk-reward ratio. 2.0 = 2 units of reward for 1 unit of risk.
- **Use RSI Divergence Filter (true)**: Enables/disables the RSI divergence filter.
### Imbalance Filters
- **Minimum Imbalance Size (ATR) (0.3)**: Minimum imbalance size in ATR units to filter out small imbalances.
- **Enable Lookback Limit (false)**: Activates historical lookback limitations.
- **Maximum Lookback Bars (300)**: Maximum number of bars to look back.
### Visual Settings
- **Show Imbalance Size**: Displays imbalance size in ATR units.
- **Show RSI Divergence Lines**: Shows/hides divergence lines.
- **Divergence Line Colors**: Colors for bullish/bearish divergence lines.
### Volatility-Based Adjustments
- **Low volatility markets**:
- Minimum Imbalance Size: 0.2-0.4 ATR
- ATR Stop Loss Multiplier: 1.5-2.0
- **High volatility markets**:
- Minimum Imbalance Size: 0.5-1.0 ATR
- ATR Stop Loss Multiplier: 2.5-3.5
### Risk Tolerance
- **Conservative approach**:
- Risk:Reward Ratio: 2.0-3.0
- RSI Divergence Filter: Enabled
- Minimum Imbalance Size: Higher (0.5+ ATR)
- **Aggressive approach**:
- Risk:Reward Ratio: 4.0-6.0
- Minimum Imbalance Size: Lower (0.2-0.3 ATR)
###Market Conditions
- **Trending markets**: Higher RSI Period (21-28)
- **Sideways markets**: Lower RSI Period (10-14)
- **Volatile markets**: Higher ATR Multiplier
## Recommended Testing Procedure
1. **Start with default settings** and backtest on 3-6 months of historical data
2. **Adjust RSI Period** to see which value produces better results
3. **Optimize ATR Multiplier** for stop loss levels
4. **Test different Risk:Reward ratios** comparatively
5. **Fine-tune Minimum Imbalance Size** to improve signal quality
## Important Considerations
- **False positive signals**: Imbalances may be less reliable during low volatility periods
- **Market openings**: First hours often produce more imbalances but can be riskier
- **News events**: Consider disabling strategy during major news releases
- **Backtesting**: Test across different market conditions (trending, sideways, volatile)
## Recommended Settings for Beginners
**Safe settings for new users:**
- RSI Period: 14
- ATR Period: 14
- ATR Stop Loss Multiplier: 2.5
- Risk:Reward Ratio: 3.0
- Minimum Imbalance Size: 0.5 ATR
- RSI Divergence Filter: Enabled
## Advanced Tips
### Signal Quality Improvement
- **Combine with market structure**: Look for imbalances near key support/resistance levels
- **Volume confirmation**: Higher volume during imbalance formation increases reliability
- **Multiple timeframe analysis**: Confirm signals on higher timeframes
### Risk Management
- **Position sizing**: Never risk more than 1-2% of account per trade
- **Maximum drawdown**: Set overall stop loss for the strategy
- **Market hours**: Consider avoiding low liquidity periods
### Performance Monitoring
- **Win rate**: Track percentage of profitable trades
- **Average R:R**: Monitor actual risk-reward achieved vs. target
- **Maximum consecutive losses**: Set alerts for strategy review
This strategy works best when combined with proper risk management and market analysis. Always backtest thoroughly before using real money and adjust parameters based on your specific market and trading style.
Breakout asia USD/CHF1 — Customizable Parameters
sess1 & sess2: The two time ranges that define the Asian session (e.g., 20:00–23:59 and 00:00–08:00).
Important: format is HHMM-HHMM.
rr: The risk/reward ratio (default = 3.0, meaning TP = 3× risk size).
onePerSess: Toggle to allow only one trade per Asian session or multiple.
bufTicks: Extra margin for the SL beyond the signal candle.
2 — Detecting the Asian Session
The script checks if the candle’s time is inside the first range (sess1) or inside the second range (sess2).
While inside the Asian session, it updates the current high and low.
When the session ends, it locks in these levels as rangeHigh and rangeLow.
3 — Step 1: Detecting the Initial Breakout
Bullish breakout → close above rangeHigh → flag breakoutUp is set to true.
Bearish breakout → close below rangeLow → flag breakoutDown is set to true.
No trade yet — this is just the breakout signal.
4 — Step 2: Waiting for the Retest
If a bullish breakout occurred, wait for the price to return to or slightly below rangeHigh and then close back above it.
If a bearish breakout occurred, wait for the price to return to or slightly above rangeLow and then close back below it.
5 — Entry & Exit
When the retest is confirmed:
strategy.entry() is triggered.
SL = behind the retest confirmation candle (with optional bufTicks margin).
TP = entry price ± RR × risk size.
If onePerSess is enabled, no further trades happen until the next Asian session.
6 — Chart Display
Green line = locked Asian session high.
Red line = locked Asian session low.
Light blue background = active Asian session hours.
Trade entries are shown on the chart when retests occur.
Nova Futures PRO (SAFE v6) — HTF + Choppiness + CooldownNova Futures PRO (SAFE v6) — HTF + Choppiness + Cooldown
reshammanchu swing freea base candle chart indicator with buy and sell indicator for begineers who can to big trading
Martin Strategy - No Loss Exit v3Martin Strategy - No Loss Exit v3Martin Strategy - No Loss Exit v3Martin Strategy - No Loss Exit v3