ULTIMATE TEMA/LSMA + IDEAL + REVERSAL
ลิงก์ TradingView
คำอธิบาย
📌 OVERVIEW
The ULTIMATE TEMA/LSMA + IDEAL + REVERSAL is a sophisticated multi-strategy trading system that combines three powerful approaches into one cohesive framework. It automatically detects the instrument type (Gold, Bitcoin, Ethereum) and adapts its parameters for optimal performance.
Priority Hierarchy: IDEAL Conditions → Reversal Strategy → Original TEMA/LSMA
🎯 KEY FEATURES
✅ 3 Trading Strategies in 1
IDEAL Conditions (Priority 1) - High-probability textbook setups
Reversal Strategy (Priority 2) - Catch trend reversals early
TEMA/LSMA Strategy (Priority 3) - Reliable trend following
✅ Smart Instrument Detection
Auto-adapts for GOLD, BITCOIN, and ETHEREUM
Custom parameters for each market's unique behavior
✅ Comprehensive Signal Generation
🟢 Bright Green - IDEAL BUY (Highest quality)
🔵 Cyan - Reversal BUY
🟢 Green - Original BUY
🔴 Bright Red - IDEAL SELL (Highest quality)
🟣 Magenta - Reversal SELL
🔴 Red - Original SELL
✅ Advanced Risk Management
ATR-based Stop Loss (1.5×)
ATR-based Take Profit (3.0×)
Trailing Stop (0.5× ATR)
Time-based exit (max 25 bars)
Volume confirmation filter
✅ Visual Intelligence
Col-coded signals by source
Liquidity zone visualization
Trend exhaustion detection
Comprehensive info panel with 14+ data points
📊 HOW IT WORKS
Layer 1: IDEAL Conditions (Priority)
The system scans for textbook setups:
B2: Liquidity Sweep + Reversal
B3: Break of Structure Retest
B4: Oversold Confluence
S1: Broken Support Retest
S2: Lower High Formation
S4: 3rd Test Failure
Layer 2: Reversal Strategy
Consensus-based reversal detection using 6 indicators:
RSI, Stochastic, Stoch RSI, MACD, Williams %R, CCI
Requires 3+ bullish/bearish signals
KAMA trend filter + ADX confirmation
Layer 3: TEMA/LSMA Strategy
Classic trend-following with enhancements:
TEMA (9) vs LSMA (25) crossovers
EMA 100 trend filter
Volume confirmation
Trend exhaustion detection
📈 INPUT PARAMETERS
Group Parameter Default Range
Core TEMA Length 9 1-50
LSMA Length 25 1-50
EMA 100 Length 100 50-200
TP ATR Mult 3.0 2.0-5.0
SL ATR Mult 1.5 1.0-3.0
Max Bars in Trade 25 10-50
Trend Filters Trend Exhaustion true on/off
Min Trend Bars 10 5-30
Momentum Divergence true on/off
Require Trend Alignment true on/off
Ideal Conditions Pivot Lookback 5 3-20
Min Sweep Size (ATR %) 0.3 0.1-1.0
Max Tests Before Failure 3 2-5
Reversal KAMA Length 10 5-20
ADX Length 14 10-30
ADX Strong Trend 20.0 15-30
RSI Length 14 10-30
Volume Multiplier 1.0 0.5-1.5
🎨 VISUAL ELEMENTS
Plotted Indicators
🔵 TEMA (9) - Blue line
🟠 LSMA (25) - Orange line
🟣 EMA (100) - Purple line
🟪 KAMA (Reversal) - Magenta line
🔴 Liquidity High - Red dashed
🟢 Liquidity Low - Green dashed
Signal Shapes
Shape Size Color Meaning
▲ Triangle Up Large Bright Green IDEAL BUY
▲ Triangle Up Medium Cyan Reversal BUY
▲ Triangle Up Small Green Original BUY
▼ Triangle Down Large Bright Red IDEAL SELL
▼ Triangle Down Medium Magenta Reversal SELL
▼ Triangle Down Small Red Original SELL
🚩 Flag Tiny Green/Red Sweep Signal
🔶 Label Tiny Orange Trend Exhausted
Background Colors
🟢 Green tint - All indicators bullish
🔴 Red tint - All indicators bearish
🟡 Yellow tint - Mixed signals
Info Panel
Comprehensive table showing:
Current indicator values
Zone detection (Oversold/Overbought)
Trend direction and strength
RSI, Volume ratio, EMA test count
Signal source and current signal
🤖 AUTO-INSTRUMENT ADAPTATION
The script automatically detects and optimizes for:
Instrument Pivot Lookback Min Sweep ATR Retest Tolerance ATR Test %
GOLD 5 0.3 0.001 0.2
BITCOIN 10 0.5 0.005 0.5
ETHEREUM 8 0.4 0.006 0.6
OTHER User input User input User input User input
⚠️ IMPORTANT NOTES
Repainting: Some indicators (pivots) may repaint on bar close
Timeframe: Works best on 15min-1hr charts
Assets: Optimized for Gold, Bitcoin, Ethereum but works on any instrument
Backtesting: Use process_orders_on_close=true for realistic results
📋 REQUIREMENTS
TradingView Premium or Pro account (for multiple indicators)
Minimum bars: 200+ for indicator stability
🔧 RECOMMENDED SETTINGS BY MARKET
Market Timeframe Min Score Notes
GOLD 30min-1hr 4 Steady trends, tighter stops
BITCOIN 1hr-4hr 3 Volatile, wider stops
FOREX 1hr 4 Use with major pairs
STOCKS Daily 4 For liquid large caps
💡 TIPS FOR BEST RESULTS
Start with default settings and observe
Adjust minVolMultiplier based on market liquidity
Use higher timeframes for swing trading
Combine with price action for confirmation
Paper trade first to understand signal behavior
🆘 SUPPORT
For questions or suggestions, contact:
📜 VERSION HISTORY
Version Date Changes
1.0.0 Initial release
⭐ RATING
If you find this script useful, please leave a like! 👍
⚖️ DISCLAIMER
Trading involves substantial risk. Past performance does not guarantee future results. This script is for educational purposes only. Always test thoroughly before trading with real money.
📝 TAGS
#trend #reversal #multi-strategy #tema #lsma #kama #adx #rsi #macd #gold #bitcoin #ethereum #crypto #forex #stocks #tradingview #pinescript
🔗 PUBLISHING CHECKLIST
Before publishing, ensure:
Script compiles without errors
Description is complete and accurate
All inputs have proper min/max values
Visuals are clear and distinguishable
Added your contact info for support
Included proper disclaimer
Added version number
Tested on multiple instruments
รูป Preview
Pine Script Source
//@version=6
strategy("ULTIMATE TEMA/LSMA + IDEAL + REVERSAL", overlay=true, default_qty_type=strategy.percent_of_equity, default_qty_value=10, max_bars_back=1000, calc_on_every_tick=true, process_orders_on_close=true, pyramiding=0)
// === INPUTS - ORIGINAL TEMA/LSMA ===
temaLength = input.int(9, "TEMA Length", minval=1, maxval=50)
lsmaLength = input.int(25, "LSMA Length", minval=1, maxval=50)
ema100Length = input.int(100, "EMA 100 Length", minval=50, maxval=200)
takeProfitATRMult = input.float(3.0, "TP ATR Mult", minval=2.0, maxval=5.0)
stopLossATRMult = input.float(1.5, "SL ATR Mult", minval=1.0, maxval=3.0)
maxBarsInTrade = input.int(25, "Max Bars in Trade", minval=10, maxval=50)
volLength = input.int(20, "Volume MA Length", minval=10, maxval=30)
minVolMultiplier = input.float(1.2, "Volume Multiplier", minval=0.8, maxval=2.0)
showPanel = input.bool(true, "Show Info Panel", group="Visual Settings")
lineThickness = input.int(2, "Indicator Line Thickness", minval=1, maxval=4, group="Visual Settings")
// === TREND FILTERS - ORIGINAL ===
useTrendExhaustion = input.bool(true, "Use Trend Exhaustion Filter", group="Trend Filters")
minTrendBars = input.int(10, "Min Trend Bars", minval=5, maxval=30, group="Trend Filters")
momentumDivergence = input.bool(true, "Use Momentum Divergence", group="Trend Filters")
requireTrendAlignment = input.bool(true, "Require All Indicators Aligned", group="Trend Filters")
useTrendStrength = input.bool(true, "Use Trend Strength Filter", group="Trend Filters")
trendStrengthThreshold = input.float(0.5, "Trend Strength Threshold", minval=0.1, maxval=1.0, group="Trend Filters")
// === IDEAL CONDITIONS INPUTS ===
useIdealConditions = input.bool(true, "Use IDEAL Conditions (Priority)", group="Ideal Conditions")
pivotLookback = input.int(5, "Pivot Lookback for Sweeps", minval=3, maxval=20, group="Ideal Conditions")
minSweepSizeATR = input.float(0.3, "Min Sweep Size (ATR %)", minval=0.1, maxval=1.0, group="Ideal Conditions")
retestTolerance = input.float(0.001, "Retest Tolerance (%)", minval=0.0005, maxval=0.01, group="Ideal Conditions")
maxTestCount = input.int(3, "Max Tests Before Failure", minval=2, maxval=5, group="Ideal Conditions")
atrTestPercent = input.float(0.2, "ATR Test %", minval=0.1, maxval=0.5, group="Ideal Conditions")
// === REVERSAL STRATEGY INPUTS ===
enableReversals = input.bool(true, "Enable Reversal Trades?", group="Reversal Strategy")
kamaLengthRev = input.int(10, "KAMA Length", minval=5, maxval=20, group="Reversal Strategy")
adxLength = input.int(14, "ADX Length", minval=10, maxval=30, group="Reversal Strategy")
adxStrongTrend = input.float(20.0, "ADX Strong Trend", minval=15, maxval=30, group="Reversal Strategy")
rsiLength = input.int(14, "RSI Length", minval=10, maxval=30, group="Reversal Strategy")
rsiOB = input.float(70.0, "RSI Overbought", minval=60, maxval=80, group="Reversal Strategy")
rsiOS = input.float(30.0, "RSI Oversold", minval=20, maxval=40, group="Reversal Strategy")
williamsLength = input.int(14, "Williams %R Length", minval=10, maxval=30, group="Reversal Strategy")
williamsOB = input.float(-20.0, "Williams %R OB", minval=-30, maxval=-10, group="Reversal Strategy")
williamsOS = input.float(-80.0, "Williams %R OS", minval=-90, maxval=-70, group="Reversal Strategy")
williamsHTF_tf = input.timeframe("30", "Williams HTF", group="Reversal Strategy")
liquidityZoneBars = input.int(8, "Liquidity Zone Bars", minval=5, maxval=15, group="Reversal Strategy")
// Volume filter (shared)
minVolMultiplierRev = input.float(1.0, "Volume Multiplier (Rev)", minval=0.5, maxval=1.5, group="Reversal Strategy")
// Additional filters
filterLong = input(true, "Enable Long Filter?", group="Reversal Strategy")
filterShort = input(true, "Enable Short Filter?", group="Reversal Strategy")
goldYieldCorr = input.float(0.0, "Gold-Yield Correlation", minval=-0.5, maxval=0.5, group="Reversal Strategy")
activeHours = input(true, "Active Hours Filter?", group="Reversal Strategy")
// === AUTO-INSTRUMENT DETECTION FOR ADAPTIVE PARAMETERS ===
string instrumentType = "UNKNOWN"
string ticker = syminfo.tickerid
string baseCurrency = syminfo.basecurrency
// Auto-detection logic
isGoldFutures = str.contains(ticker, "GC") or str.contains(ticker, "MGC") or str.contains(ticker, "GOLD")
isGoldSpot = ticker == "XAUUSD" or (baseCurrency == "XAU" and syminfo.currency == "USD")
isBitcoin = str.contains(ticker, "BTC") or baseCurrency == "BTC" or str.contains(ticker, "BITCOIN")
isEthereum = str.contains(ticker, "ETH") or baseCurrency == "ETH" or str.contains(ticker, "ETHEREUM")
if isGoldFutures or isGoldSpot
instrumentType := "GOLD"
else if isBitcoin
instrumentType := "BITCOIN"
else if isEthereum
instrumentType := "ETHEREUM"
else
instrumentType := "OTHER"
// Adaptive parameter overrides based on instrument
adaptivePivotLookback = instrumentType == "GOLD" ? 5 : instrumentType == "BITCOIN" ? 10 : instrumentType == "ETHEREUM" ? 8 : pivotLookback
adaptiveMinSweepATR = instrumentType == "GOLD" ? 0.3 : instrumentType == "BITCOIN" ? 0.5 : instrumentType == "ETHEREUM" ? 0.4 : minSweepSizeATR
adaptiveRetestTolerance = instrumentType == "GOLD" ? 0.001 : instrumentType == "BITCOIN" ? 0.005 : instrumentType == "ETHEREUM" ? 0.006 : retestTolerance
adaptiveATRTestPercent = instrumentType == "GOLD" ? 0.2 : instrumentType == "BITCOIN" ? 0.5 : instrumentType == "ETHEREUM" ? 0.6 : atrTestPercent
// === CORE CALCULATIONS - TEMA/LSMA ===
src = close
lsma = ta.linreg(src, lsmaLength, 0)
xEMA1 = ta.ema(close, temaLength)
xEMA2 = ta.ema(xEMA1, temaLength)
xEMA3 = ta.ema(xEMA2, temaLength)
tema = 3 * xEMA1 - 3 * xEMA2 + xEMA3
ema100 = ta.ema(close, ema100Length)
atr = ta.atr(14)
rsi = ta.rsi(close, 14)
volMA = ta.sma(volume, volLength)
// === REVERSAL STRATEGY INDICATORS ===
rsiRev = ta.rsi(close, rsiLength)
stochK = ta.sma(ta.stoch(close, high, low, 9), 6)
stochD = ta.sma(stochK, 3)
rsi1 = ta.rsi(close, 14)
stochRsi = (rsi1 - ta.lowest(rsi1, 14)) / (ta.highest(rsi1, 14) - ta.lowest(rsi1, 14)) * 100
[macdLine, signalLine, histLine] = ta.macd(close, 12, 26, 9)
dmiPlus = ta.rma(math.max(ta.change(high), 0), adxLength)
dmiMinus = ta.rma(-math.min(ta.change(low), 0), adxLength)
trur = ta.rma(ta.tr, adxLength)
plusDI = 100 * dmiPlus / trur
minusDI = 100 * dmiMinus / trur
dx = 100 * math.abs(plusDI - minusDI) / (plusDI + minusDI)
adx = ta.rma(dx, adxLength)
williams = -100 * (ta.highest(high, williamsLength) - close) / (ta.highest(high, williamsLength) - ta.lowest(low, williamsLength))
williamsHTF = request.security(syminfo.tickerid, williamsHTF_tf, williams)
cci = (close - ta.sma(close, 14)) / (0.015 * ta.dev(close, 14))
// KAMA for reversal strategy
kamaRev = ta.ema(close, kamaLengthRev)
kamaRising = kamaRev > kamaRev[1]
kamaFalling = kamaRev < kamaRev[1]
// Volume MA for reversal
volMARev = ta.sma(volume, volLength)
// === MARKET SENTIMENT CALC (REVERSAL) ===
rsiBearish = rsiRev < 50
stochBearish = stochK < 50 or stochK < stochD
stochRsiBearish = stochRsi < 50
macdBearish = macdLine < signalLine
williamsBearish = williams < -50
cciBearish = cci < 0
bearishScore = (rsiBearish ? 1 : 0) + (stochBearish ? 1 : 0) + (stochRsiBearish ? 1 : 0) + (macdBearish ? 1 : 0) + (williamsBearish ? 1 : 0) + (cciBearish ? 1 : 0)
strongBearishConsensus = bearishScore >= 3
rsiBullish = rsiRev > 50
stochBullish = stochK > 50 or stochK > stochD
stochRsiBullish = stochRsi > 50
macdBullish = macdLine > signalLine
williamsBullish = williams > -50
cciBullish = cci > 0
bullishScore = (rsiBullish ? 1 : 0) + (stochBullish ? 1 : 0) + (stochRsiBullish ? 1 : 0) + (macdBullish ? 1 : 0) + (williamsBullish ? 1 : 0) + (cciBullish ? 1 : 0)
strongBullishConsensus = bullishScore >= 3
neutralMarket = bullishScore >= 3 and bearishScore >= 3
// === TREND LOGIC (REVERSAL) ===
longTrendRev = close > kamaRev and kamaRising and (adx > adxStrongTrend or plusDI > minusDI)
shortTrendRev = close < kamaRev and kamaFalling and (adx > adxStrongTrend or minusDI > plusDI)
// CHOCH & Liquidity Zones (REVERSAL)
var float chochSwingHigh = na
var float chochSwingLow = na
isSwingHigh = ta.pivothigh(high, 3, 3)
isSwingLow = ta.pivotlow(low, 3, 3)
if not na(isSwingHigh)
chochSwingHigh := high[3]
if not na(isSwingLow)
chochSwingLow := low[3]
chochBrokenUp = not na(chochSwingHigh) and close > chochSwingHigh
chochBrokenDown = not na(chochSwingLow) and close < chochSwingLow
var float liquidityZoneHigh = na
var float liquidityZoneLow = na
if not na(isSwingHigh)
liquidityZoneHigh := ta.highest(high, liquidityZoneBars)
if not na(isSwingLow)
liquidityZoneLow := ta.lowest(low, liquidityZoneBars)
// Volume filter (reversal)
volumeOKRev = volume > volMARev * minVolMultiplierRev
// === PIVOT DETECTION FOR IDEAL CONDITIONS ===
pivotHigh = ta.pivothigh(high, adaptivePivotLookback, adaptivePivotLookback)
pivotLow = ta.pivotlow(low, adaptivePivotLookback, adaptivePivotLookback)
var float lastPivotHigh = na
var float lastPivotLow = na
if not na(pivotHigh)
lastPivotHigh := pivotHigh
if not na(pivotLow)
lastPivotLow := pivotLow
// === IDEAL CONDITION 2: LIQUIDITY SWEEP DETECTION ===
float minSweepSize = atr * adaptiveMinSweepATR
liquiditySweepDown = low < lastPivotLow and close > high[1] and (high[1] - low) > minSweepSize
liquiditySweepUp = high > lastPivotHigh and close < low[1] and (high - low[1]) > minSweepSize
// === IDEAL CONDITION 3: BREAK OF STRUCTURE RETEST ===
bullishBoS = ta.crossover(close, ema100) and close > ema100
bearishBoS = ta.crossunder(close, ema100) and close < ema100
var float lastBullishBoSLevel = na
var float lastBearishBoSLevel = na
if bullishBoS
lastBullishBoSLevel := ema100
if bearishBoS
lastBearishBoSLevel := ema100
bullishBoSRetest = not na(lastBullishBoSLevel) and
close < lastBullishBoSLevel * (1 + adaptiveRetestTolerance) and
close > lastBullishBoSLevel * (1 - adaptiveRetestTolerance) and
close > open
bearishBoSRetest = not na(lastBearishBoSLevel) and
close > lastBearishBoSLevel * (1 - adaptiveRetestTolerance) and
close < lastBearishBoSLevel * (1 + adaptiveRetestTolerance) and
close < open
// === IDEAL CONDITION 4: SUPPORT/RESISTANCE TEST COUNTER ===
var int ema100TestCount = 0
var float lastTestPrice = na
var int testBarIndex = na
if math.abs(close - ema100) < atr * adaptiveATRTestPercent
if na(lastTestPrice) or (bar_index != testBarIndex and lastTestPrice != close)
ema100TestCount := ema100TestCount + 1
lastTestPrice := close
testBarIndex := bar_index
if math.abs(close - ema100) > atr * 0.5
ema100TestCount := 0
// === LOWER HIGH / HIGHER LOW DETECTION ===
lowerHigh = high < lastPivotHigh and high > high[1]
higherLow = low > lastPivotLow and low < low[1]
// === ZONE DETECTION (OVERSOLD/OVERBOUGHT) ===
float priceToTEMA = (close - tema) / tema * 100
float priceToLSMA = (close - lsma) / lsma * 100
float priceToEMA100 = (close - ema100) / ema100 * 100
zoneScore = (priceToTEMA + priceToLSMA + priceToEMA100) / 3
// Adaptive zone thresholds
float zoneThreshold1 = instrumentType == "GOLD" ? 2.0 : instrumentType == "BITCOIN" ? 5.0 : instrumentType == "ETHEREUM" ? 6.0 : 2.0
float zoneThreshold2 = instrumentType == "GOLD" ? 1.0 : instrumentType == "BITCOIN" ? 2.5 : instrumentType == "ETHEREUM" ? 3.0 : 1.0
string zone = zoneScore <= -zoneThreshold1 ? "EXTREME_OVERSOLD" :
zoneScore <= -zoneThreshold2 ? "OVERSOLD" :
zoneScore <= 0.5 ? "NEUTRAL_LOW" :
zoneScore <= 1.5 ? "NEUTRAL_HIGH" :
zoneScore <= zoneThreshold2 ? "OVERBOUGHT" : "EXTREME_OVERBOUGHT"
// === TREND DIRECTION DETECTION (ORIGINAL) ===
isTemaBullish = tema > tema[1]
isLsmaBullish = lsma > lsma[1]
isEma100Bullish = ema100 > ema100[1]
allBullish = isTemaBullish and isLsmaBullish and isEma100Bullish
allBearish = not isTemaBullish and not isLsmaBullish and not isEma100Bullish
// === TRADE ALLOWANCE VARIABLES ===
bool longAllowed = false
bool shortAllowed = false
if requireTrendAlignment
longAllowed := allBullish
shortAllowed := allBearish
else
longAllowed := tema > lsma and close > ema100
shortAllowed := tema < lsma and close < ema100
// === TREND STRENGTH CALCULATION ===
temaSlope = tema - tema[5]
lsmaSlope = lsma - lsma[10]
ema100Slope = ema100 - ema100[20]
trendStrength = (temaSlope + lsmaSlope + ema100Slope) / 3
normalizedStrength = math.abs(trendStrength) / atr
// === TREND DURATION TRACKING ===
var int trendBars = 0
var bool currentTrendBullish = false
var float trendStartPrice = 0.0
if bar_index == 0
trendBars := 0
currentTrendBullish := false
trendStartPrice := 0.0
else
if allBullish and (not currentTrendBullish or trendStartPrice == 0.0)
trendBars := 1
currentTrendBullish := true
trendStartPrice := close
else if allBearish and (currentTrendBullish or trendStartPrice == 0.0)
trendBars := 1
currentTrendBullish := false
trendStartPrice := close
else if (currentTrendBullish and allBullish) or (not currentTrendBullish and allBearish)
trendBars := trendBars + 1
else
trendBars := 0
currentTrendBullish := false
trendStartPrice := 0.0
// === TREND EXHAUSTION DETECTION ===
trendExhausted = false
if trendBars > 0 and trendStartPrice > 0.0
trendMagnitude = currentTrendBullish ? ((close - trendStartPrice) / trendStartPrice) * 100 : ((trendStartPrice - close) / trendStartPrice) * 100
condition1 = trendBars > minTrendBars * 2
condition2 = normalizedStrength < trendStrengthThreshold
condition3 = (currentTrendBullish and not allBullish) or (not currentTrendBullish and not allBearish)
rsiDivergence = false
if momentumDivergence
if currentTrendBullish
priceHigher = close > close[10]
rsiLower = rsi < rsi[10]
rsiDivergence := priceHigher and rsiLower
else
priceLower = close < close[10]
rsiHigher = rsi > rsi[10]
rsiDivergence := priceLower and rsiHigher
trendExhausted = condition1 and (condition2 or condition3 or rsiDivergence)
// === VOLUME CONFIRMATION (ORIGINAL) ===
volumeOK = volume > volMA * minVolMultiplier
// === ORIGINAL CROSSOVER SIGNALS ===
temaCrossAboveLsma = ta.crossover(tema, lsma)
temaCrossBelowLsma = ta.crossunder(tema, lsma)
// === REVERSAL STRATEGY ENTRY CONDITIONS ===
reversalLongCondition = enableReversals ? longTrendRev and strongBullishConsensus and volumeOKRev and activeHours : false
reversalShortCondition = enableReversals ? shortTrendRev and strongBearishConsensus and volumeOKRev and activeHours : false
// === IDEAL CONDITIONS SIGNALS ===
string idealScenario = "WAIT"
string idealAction = "WAIT"
if useIdealConditions
// IDEAL B2: Liquidity Sweep + Reversal
if liquiditySweepDown and close > ema100 and volumeOK
idealScenario := "IDEAL B2: Liquidity Sweep"
idealAction := "BUY"
// IDEAL B3: Break of Structure Retest
else if bullishBoSRetest and tema > lsma and volumeOK
idealScenario := "IDEAL B3: BoS Retest"
idealAction := "BUY"
// IDEAL B4: Oversold Confluence
else if (zone == "EXTREME_OVERSOLD" or zone == "OVERSOLD") and close > ema100 and tema > lsma and volumeOK
idealScenario := "IDEAL B4: Oversold Confluence"
idealAction := "BUY"
// IDEAL SELL CONDITIONS
// IDEAL S1: Broken Support Retest
if bearishBoSRetest and tema < lsma and volumeOK
idealScenario := "IDEAL S1: Broken Support"
idealAction := "SELL"
// IDEAL S2: Lower High Formation
else if lowerHigh and (zone == "OVERBOUGHT" or zone == "EXTREME_OVERBOUGHT") and tema < lsma
idealScenario := "IDEAL S2: Lower High"
idealAction := "SELL"
// IDEAL S4: 3rd Test Failure
else if ema100TestCount >= maxTestCount and close < ema100 and tema < lsma and ta.crossunder(close, ema100)
idealScenario := "IDEAL S4: 3rd Test Failure"
idealAction := "SELL"
// === FINAL SIGNAL LOGIC (Priority: IDEAL > REVERSAL > ORIGINAL) ===
bool longCondition = false
bool shortCondition = false
string activeScenario = ""
string signalSource = ""
// Priority 1: IDEAL Conditions
if useIdealConditions and idealAction == "BUY" and strategy.position_size == 0
longCondition := true
activeScenario := idealScenario
signalSource := "IDEAL"
else if useIdealConditions and idealAction == "SELL" and strategy.position_size == 0
shortCondition := true
activeScenario := idealScenario
signalSource := "IDEAL"
// Priority 2: Reversal Strategy
else if enableReversals and reversalLongCondition and strategy.position_size == 0
longCondition := true
activeScenario := "REVERSAL: Long"
signalSource := "REVERSAL"
else if enableReversals and reversalShortCondition and strategy.position_size == 0
shortCondition := true
activeScenario := "REVERSAL: Short"
signalSource := "REVERSAL"
// Priority 3: Original TEMA/LSMA Logic
else
if useTrendExhaustion
longCondition := (longAllowed and temaCrossAboveLsma and volumeOK) or (trendExhausted and not currentTrendBullish and temaCrossAboveLsma and volumeOK)
shortCondition := (shortAllowed and temaCrossBelowLsma and volumeOK) or (trendExhausted and currentTrendBullish and temaCrossBelowLsma and volumeOK)
activeScenario := longCondition ? (trendExhausted ? "ORIGINAL: Exhaustion Long" : "ORIGINAL: Trend Long") :
shortCondition ? (trendExhausted ? "ORIGINAL: Exhaustion Short" : "ORIGINAL: Trend Short") : "WAIT"
else
longCondition := longAllowed and temaCrossAboveLsma and volumeOK
shortCondition := shortAllowed and temaCrossBelowLsma and volumeOK
activeScenario := longCondition ? "ORIGINAL: Long" : shortCondition ? "ORIGINAL: Short" : "WAIT"
signalSource := longCondition or shortCondition ? "ORIGINAL" : ""
// === RISK MANAGEMENT ===
longSL = strategy.position_size > 0 ? strategy.position_avg_price - stopLossATRMult * atr : na
longTP = strategy.position_size > 0 ? strategy.position_avg_price + takeProfitATRMult * atr : na
shortSL = strategy.position_size < 0 ? strategy.position_avg_price + stopLossATRMult * atr : na
shortTP = strategy.position_size < 0 ? strategy.position_avg_price - takeProfitATRMult * atr : na
trailOffset = atr * 0.5
// === STRATEGY EXECUTION ===
if longCondition and strategy.position_size == 0
strategy.entry("Long", strategy.long)
if shortCondition and strategy.position_size == 0
strategy.entry("Short", strategy.short)
if strategy.position_size > 0
strategy.exit("Long Exit", "Long", stop=longSL, limit=longTP, trail_points=trailOffset, trail_offset=trailOffset)
if strategy.position_size < 0
strategy.exit("Short Exit", "Short", stop=shortSL, limit=shortTP, trail_points=trailOffset, trail_offset=trailOffset)
if strategy.position_size != 0 and bar_index - strategy.opentrades.entry_bar_index(0) >= maxBarsInTrade
strategy.close_all()
// === PLOTTING ===
plot(tema, "TEMA 9", color=color.new(#2196F3, 0), linewidth=lineThickness)
plot(lsma, "LSMA 25", color=color.new(#FF9800, 0), linewidth=lineThickness)
plot(ema100, "EMA 100", color=color.new(#9C27B0, 0), linewidth=2)
// Plot KAMA from reversal strategy
plot(enableReversals ? kamaRev : na, "KAMA Rev", color=color.new(#FF00FF, 0), linewidth=1)
// Liquidity zones
plot(enableReversals ? liquidityZoneHigh : na, "Liquidity High", color.red, 1, plot.style_linebr)
plot(enableReversals ? liquidityZoneLow : na, "Liquidity Low", color.green, 1, plot.style_linebr)
// Signal shapes with different colors for each source
plotshape(longCondition and signalSource == "IDEAL", "IDEAL BUY", shape.triangleup, location.belowbar, color=color.new(#00FF00, 0), size=size.large, offset=0)
plotshape(longCondition and signalSource == "REVERSAL", "REV BUY", shape.triangleup, location.belowbar, color=color.new(#00FFFF, 0), size=size.normal, offset=0)
plotshape(longCondition and signalSource == "ORIGINAL", "ORIGINAL BUY", shape.triangleup, location.belowbar, color=color.new(#4CAF50, 0), size=size.small, offset=0)
plotshape(shortCondition and signalSource == "IDEAL", "IDEAL SELL", shape.triangledown, location.abovebar, color=color.new(#FF0000, 0), size=size.large, offset=0)
plotshape(shortCondition and signalSource == "REVERSAL", "REV SELL", shape.triangledown, location.abovebar, color=color.new(#FF00FF, 0), size=size.normal, offset=0)
plotshape(shortCondition and signalSource == "ORIGINAL", "ORIGINAL SELL", shape.triangledown, location.abovebar, color=color.new(#F44336, 0), size=size.small, offset=0)
// Background colors
bgcolor(allBullish ? color.new(#4CAF50, 90) : allBearish ? color.new(#F44336, 90) : color.new(#FFC107, 90))
plotshape(trendExhausted, "Trend Exhausted", shape.labelup, location.belowbar, color=color.new(#FF9800, 0), textcolor=color.white, text="EXHAUSTED", size=size.tiny)
// Plot sweep signals
plotshape(liquiditySweepDown, "Sweep Long", shape.flag, location.belowbar, color=color.new(#00FF00, 50), size=size.tiny)
plotshape(liquiditySweepUp, "Sweep Short", shape.flag, location.abovebar, color=color.new(#FF0000, 50), size=size.tiny)
// === COMPREHENSIVE TABLE ===
if showPanel and barstate.islast
var table infoTable = table.new(position.bottom_left, 14, 14, bgcolor=color.new(#0a0a0a, 90), border_width=1)
// Header with instrument info
table.cell(infoTable, 0, 0, "⚡ " + instrumentType + " ULTIMATE TRADE PANEL", text_color=color.yellow, bgcolor=color.new(#2c3e50, 50), text_size=size.normal)
table.merge_cells(infoTable, 0, 0, 13, 0)
// Row 1: Main indicators
table.cell(infoTable, 0, 1, "Indicator", text_color=color.yellow, text_size=size.small)
table.cell(infoTable, 1, 1, "TEMA", text_color=color.yellow, text_size=size.small)
table.cell(infoTable, 2, 1, "LSMA", text_color=color.yellow, text_size=size.small)
table.cell(infoTable, 3, 1, "EMA100", text_color=color.yellow, text_size=size.small)
table.cell(infoTable, 4, 1, "KAMA", text_color=color.yellow, text_size=size.small)
table.cell(infoTable, 5, 1, "Zone", text_color=color.yellow, text_size=size.small)
table.cell(infoTable, 6, 1, "Trend", text_color=color.yellow, text_size=size.small)
table.cell(infoTable, 7, 1, "Bars", text_color=color.yellow, text_size=size.small)
table.cell(infoTable, 8, 1, "Strength", text_color=color.yellow, text_size=size.small)
table.cell(infoTable, 9, 1, "RSI", text_color=color.yellow, text_size=size.small)
table.cell(infoTable, 10, 1, "Volume", text_color=color.yellow, text_size=size.small)
table.cell(infoTable, 11, 1, "Tests", text_color=color.yellow, text_size=size.small)
table.cell(infoTable, 12, 1, "Source", text_color=color.yellow, text_size=size.small)
table.cell(infoTable, 13, 1, "Signal", text_color=color.yellow, text_size=size.small)
// Row 2: Values
table.cell(infoTable, 0, 2, "Value", text_color=color.white, text_size=size.small)
table.cell(infoTable, 1, 2, str.tostring(tema, "#.##"), text_color=color.new(#2196F3, 0), text_size=size.small)
table.cell(infoTable, 2, 2, str.tostring(lsma, "#.##"), text_color=color.new(#FF9800, 0), text_size=size.small)
table.cell(infoTable, 3, 2, str.tostring(ema100, "#.##"), text_color=color.new(#9C27B0, 0), text_size=size.small)
table.cell(infoTable, 4, 2, str.tostring(kamaRev, "#.##"), text_color=color.new(#FF00FF, 0), text_size=size.small)
zoneColor = zone == "EXTREME_OVERSOLD" ? color.green : zone == "EXTREME_OVERBOUGHT" ? color.red : color.white
table.cell(infoTable, 5, 2, zone, text_color=zoneColor, text_size=size.small)
directionText = allBullish ? "↗️ BULL" : allBearish ? "↘️ BEAR" : "🔄 MIX"
directionColor = allBullish ? color.green : allBearish ? color.red : color.orange
table.cell(infoTable, 6, 2, directionText, text_color=directionColor, text_size=size.small)
barsColor = trendBars >= minTrendBars ? color.green : color.yellow
table.cell(infoTable, 7, 2, str.tostring(trendBars), text_color=barsColor, text_size=size.small)
strengthColor = normalizedStrength > trendStrengthThreshold ? color.green : normalizedStrength > 0 ? color.yellow : color.red
table.cell(infoTable, 8, 2, str.tostring(normalizedStrength, "#.##"), text_color=strengthColor, text_size=size.small)
rsiColor = rsi > 70 ? color.red : rsi < 30 ? color.green : color.yellow
table.cell(infoTable, 9, 2, str.tostring(rsi, "#.#"), text_color=rsiColor, text_size=size.small)
volColor = volumeOK ? color.green : color.red
volRatio = volume / volMA
table.cell(infoTable, 10, 2, str.tostring(volRatio, "#.##") + "x", text_color=volColor, text_size=size.small)
table.cell(infoTable, 11, 2, str.tostring(ema100TestCount) + "/" + str.tostring(maxTestCount), text_color=color.white, text_size=size.small)
sourceColor = signalSource == "IDEAL"